Trump’s AI Order Provokes Pushback from California Officials and Consumer Advocates
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Beyond the AI Hype Machine
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"content": "\u003cp>In the last decade, California has passed 42 laws to regulate artificial intelligence, more than any other state, according to \u003ca href=\"https://hai.stanford.edu/ai-index/2025-ai-index-report\">Stanford’s Institute for Human-Centered AI\u003c/a>. So it comes as no surprise that state leaders reacted with ire to President Donald Trump’s \u003ca href=\"https://www.whitehouse.gov/presidential-actions/2025/12/eliminating-state-law-obstruction-of-national-artificial-intelligence-policy/\">executive order\u003c/a> slapping down state efforts to regulate AI.\u003c/p>\n\u003cp>The clash highlights the growing friction between California’s push for consumer protections and the tech industry’s efforts to neutralize regulation. The executive order follows \u003ca href=\"https://www.wsj.com/tech/ai/the-silicon-valley-campaign-to-win-trump-over-on-ai-regulation-214bd6bd\">previous failures\u003c/a> led by Silicon Valley venture capitalist David Sacks, now the president’s AI and crypto advisor, to pass a moratorium on state AI regulation through Congress.\u003c/p>\n\u003cp>“President Trump and Davis Sacks aren’t making policy — they’re running a con. And every day, they push the limits to see how far they can take it,” Gov. Gavin Newsom wrote in a statement on Thursday.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>As an earlier draft of the order circulated in Washington, critics warned it would neuter state laws designed to protect children and adults from the more predatory forms of commercial AI.\u003c/p>\n\u003cp>Trump’s executive order echoed talking points articulated by Silicon Valley leaders, including calls for a uniform federal regulatory framework, and concerns that state regulations could slow the pace of AI innovation.\u003c/p>\n\u003cp>“POTUS stepping in creates space for builders to focus on innovation while Congress finishes the job,”\u003ca href=\"https://x.com/Collin_McCune/status/1999264399459066212?s=20\"> wrote\u003c/a> Collin McCune, who leads government affairs for the Menlo Park-based venture capital firm Andreessen Horowitz, which is among the companies that have spent tens of millions of dollars to block or weaken Congressional action. “Now lawmakers have to act. Our standing in the global AI race—and the direct benefits Americans will see from it—depend on it,” he added.\u003c/p>\n\u003cp>https://twitter.com/RapidResponse47/status/1999257391356125348\u003c/p>\n\u003cp>The industry push to get the White House to supersede state legislation is “shortsighted,” said State Sen. Josh Becker, D-Menlo Park, who has worked to pass several of California’s state bills governing AI. “I think they’re going to pay the price in the long run.”\u003c/p>\n\u003cp>But just how big of an effect the order will have on California’s AI regulations is unclear. It includes exemptions for laws that cover child safety, data center infrastructure, state government use of AI and “other topics as shall be determined.”\u003c/p>\n\u003cp>“This is going to sow massive confusion in the industry,” Becker said.\u003c/p>\n\u003cp>Becker is wondering about the future of several AI bills he co-authored, including one regulating AI companion chatbots, due to go into effect in January, which Newsom \u003ca href=\"https://www.gov.ca.gov/2025/10/13/governor-newsom-signs-bills-to-further-strengthen-californias-leadership-in-protecting-children-online/\">signed\u003c/a> into law as part of a \u003ca href=\"https://www.kqed.org/news/12059714/newsom-vetoes-most-watched-childrens-ai-bill-signs-16-others-targeting-tech\">broader package\u003c/a> of online safety and emerging-tech protections.\u003c/p>\n\u003cp>“Is that affected by this? Because there’s a big part of it that deals with kids and chatbots, but there were parts of the bill that dealt with other things,” Becker said.[aside postID=forum_2010101912169 hero='https://cdn.kqed.org/wp-content/uploads/sites/43/2025/11/GettyImages-2203864303-2000x1333.jpg']The executive order is widely expected to prompt legal challenges because only Congress has the authority to override state laws. Speaking in Sacramento on Friday, California Attorney General Rob Bonta said it was too early to determine any legal action.\u003c/p>\n\u003cp>“Where it’s headed, and what it intends to do, raises great concerns and flags. But we don’t sue until there’s action that we can take. Sometimes that’s upon the issuance of the executive order. Sometimes it’s later,” said Bonta, whose office has sued the Trump administration 49 times this year.\u003c/p>\n\u003cp>Bonta’s measured stance contrasts with state lawmakers who see imminent danger in this latest move from the White House.\u003c/p>\n\u003cp>“President Trump’s executive order is a dangerous attack on states’ constitutional authority to protect our residents from urgent AI harms,” wrote Assemblymember Rebecca Bauer-Kahan, D-Orinda, who has authored multiple AI bills regulating everything from algorithmic discrimination and transparency to protections for children and Hollywood creatives.\u003c/p>\n\u003cp>“While the tech industry lobbies for deregulation, women are being victimized by AI-powered nudification apps, artists and creators are having their livelihoods cannibalized without notice, deepfakes are being weaponized for harassment and fraud, and AI systems are perpetuating discrimination in housing, employment, and lending. These aren’t theoretical risks— they’re happening now and demand action,” Bauer-Kahan wrote.\u003c/p>\n\u003cp>California is not alone in its efforts to regulate AI at the state level. This year, all 50 states and territories introduced AI legislation and 38 states adopted about 100 laws, according to the \u003ca href=\"https://www.ncsl.org/state-legislatures-news/details/as-ai-tools-become-commonplace-so-do-concerns\">National Conference of State Legislatures\u003c/a>.\u003c/p>\n\u003cp>“This executive order is an outrageous betrayal of the states that, as Congress has stalled, have worked tirelessly to protect their residents from the very real risks of AI,” wrote James Steyer, head of Common Sense Media. The advocacy group has sponsored state bills in California and elsewhere. “Stripping states of their constitutional rights to protect their residents from unsafe AI — while holding critical broadband funding hostage, no less — erases the progress they are making and puts lives in danger,” Steyer wrote.\u003c/p>\n\u003cp>\u003c/p>\n",
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"content": "\u003cdiv class=\"post-body\">\u003cp>The executive order is widely expected to prompt legal challenges because only Congress has the authority to override state laws. Speaking in Sacramento on Friday, California Attorney General Rob Bonta said it was too early to determine any legal action.\u003c/p>\n\u003cp>“Where it’s headed, and what it intends to do, raises great concerns and flags. But we don’t sue until there’s action that we can take. Sometimes that’s upon the issuance of the executive order. Sometimes it’s later,” said Bonta, whose office has sued the Trump administration 49 times this year.\u003c/p>\n\u003cp>Bonta’s measured stance contrasts with state lawmakers who see imminent danger in this latest move from the White House.\u003c/p>\n\u003cp>“President Trump’s executive order is a dangerous attack on states’ constitutional authority to protect our residents from urgent AI harms,” wrote Assemblymember Rebecca Bauer-Kahan, D-Orinda, who has authored multiple AI bills regulating everything from algorithmic discrimination and transparency to protections for children and Hollywood creatives.\u003c/p>\n\u003cp>“While the tech industry lobbies for deregulation, women are being victimized by AI-powered nudification apps, artists and creators are having their livelihoods cannibalized without notice, deepfakes are being weaponized for harassment and fraud, and AI systems are perpetuating discrimination in housing, employment, and lending. These aren’t theoretical risks— they’re happening now and demand action,” Bauer-Kahan wrote.\u003c/p>\n\u003cp>California is not alone in its efforts to regulate AI at the state level. This year, all 50 states and territories introduced AI legislation and 38 states adopted about 100 laws, according to the \u003ca href=\"https://www.ncsl.org/state-legislatures-news/details/as-ai-tools-become-commonplace-so-do-concerns\">National Conference of State Legislatures\u003c/a>.\u003c/p>\n\u003cp>“This executive order is an outrageous betrayal of the states that, as Congress has stalled, have worked tirelessly to protect their residents from the very real risks of AI,” wrote James Steyer, head of Common Sense Media. The advocacy group has sponsored state bills in California and elsewhere. “Stripping states of their constitutional rights to protect their residents from unsafe AI — while holding critical broadband funding hostage, no less — erases the progress they are making and puts lives in danger,” Steyer wrote.\u003c/p>\n\u003cp>\u003c/p>\n\u003c/div>\u003c/p>",
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"content": "\u003cp>A member of a Bay Area group that says they are trying to prevent artificial intelligence from ending humanity was again arrested while protesting outside \u003ca href=\"https://www.kqed.org/news/tag/openai\">OpenAI\u003c/a>’s San Francisco headquarters Thursday in apparent violation of a court order.\u003c/p>\n\u003cp>Guido Reichstadter was booked into San Francisco County Jail on Thursday evening, records show, for allegedly violating a judge’s order that barred him from the premises following his previous arrest with members of Stop AI. The group \u003ca href=\"https://www.yahoo.com/news/articles/openais-sam-altman-served-subpoena-141003524.html\">made national headlines\u003c/a> last month when a member of their defense team served a subpoena to OpenAI CEO Sam Altman while he was onstage at San Francisco’s Sydney Goldstein Theater with Golden State Warriors head coach Steve Kerr.\u003c/p>\n\u003cp>“Every day is an opportunity to collectively reclaim our integrity and our sanity — to draw the line which says this far and no farther, to end the race to superintelligence — but these days are dwindling rapidly and we do not know which day will be the last before that opportunity is lost to us forever,” Reichstadter \u003ca href=\"https://x.com/wolflovesmelon/status/1996584982396211543\">posted on X\u003c/a> Wednesday while announcing he was planning to continue to protest OpenAI.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>Reichstadter and Stop AI co-founder Sam Kirchner — along with co-defendant Wynd Kaufmyn — are awaiting trial for trespassing and other charges related to their continued protests outside OpenAI’s offices starting last year.\u003c/p>\n\u003cp>Attorneys for Altman have attempted to have his subpoena to testify at the criminal trial thrown out, but on Nov. 21, Judge Maria E. Evangelista ruled that that decision should be made by the judge who will be presiding over the trial.\u003c/p>\n\u003cp>Although the trial was set to start Friday, it was pushed back to Jan. 29. Records show Reichstadter remained in San Francisco County Jail without bond as of Friday.\u003c/p>\n\u003cfigure id=\"attachment_12066267\" class=\"wp-caption aligncenter\" style=\"max-width: 2560px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-12066267\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/IMG_1391-scaled.jpg\" alt=\"\" width=\"2560\" height=\"1707\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/IMG_1391-scaled.jpg 2560w, https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/IMG_1391-2000x1333.jpg 2000w, https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/IMG_1391-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/IMG_1391-1536x1024.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/IMG_1391-2048x1365.jpg 2048w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\">\u003cfigcaption class=\"wp-caption-text\">Stop AI co-founder Sam Kirchner speaks into a bullhorn outside OpenAI’s headquarters in San Francisco on Feb. 22, 2025. A bench warrant has been issued for Kirchner, who did not appear for a court appearance for trespassing and other charges late last month. Kirchner recently separated from the group. \u003ccite>(Brian Krans/KQED)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>Also on Nov. 21, Evangelista issued a bench warrant for Kirchner’s arrest when he failed to show for a court hearing. That same day, OpenAI’s offices were locked down following threats authorities believed to have come from Kirchner, as \u003ca href=\"https://www.wired.com/story/openai-office-lockdown-threat-san-francisco/?_sp=8f666012-7ff2-4d29-8dc9-047bbae3c137.1764640349753\">first reported by Wired\u003c/a>.\u003c/p>\n\u003cp>On Nov. 22, Stop AI \u003ca href=\"https://x.com/StopAI_Info/status/1992286218802073981\">posted on social media\u003c/a> that Kirchner assaulted a fellow member of the group. The attack and statements he made caused them to “fear that he might procure a weapon that he could use against employees of companies pursuing artificial superintelligence,” the post said, adding they still care about Kirchner.\u003c/p>\n\u003cp>Kirchner has since \u003ca href=\"https://x.com/No_AGI_/status/1991833980795326712\">posted on social media\u003c/a> that he is no longer associated with Stop AI.\u003c/p>\n\u003cp>The three co-defendants readily admit they prevented business operations at OpenAI as charged. Rather than setting out to prove their innocence, they said they were taking their misdemeanor charges to court to further raise awareness of their cause. They, among others who express extreme caution around the current development of AI, say there could soon be a point of no return between human intelligence and the artificial intelligence it is rapidly developing and deploying.[aside postID=news_12058013 hero='https://cdn.kqed.org/wp-content/uploads/sites/10/2025/08/GavinNewsomAISF2.jpg']“The actions that we took from October to February – nonviolently blocking the doors of OpenAI — have gotten attention around the world,” Reichstadter said. “They are the reason why Sam Altman was served a subpoena to appear to testify to the fact that he is consciously endangering the existence of humanity.”\u003c/p>\n\u003cp>OpenAI did not respond to requests for comment. An attorney representing Altman, Gabriel Bronshteyn, declined to comment.\u003c/p>\n\u003cp>In a statement, Stop AI said the trial “will be the first time in human history where a jury of normal people are asked about the extinction threat that AI poses to humanity.”\u003c/p>\n\u003cp>Stop AI consists mostly of a small group of people who once lived together in a house in West Oakland. Reichstadter said he left his two teenage children in Miami to move to Oakland to join the fight against the development of potentially harmful AI, while Kirchner — a former electrical engineering tech and neuroscience student — moved from Seattle to found Stop AI in the Bay Area last year. Kaufmyn spent more than 40 years teaching computer sciences at City College of San Francisco.\u003c/p>\n\u003cp>Stop AI members often cite Nobel laureate and “godfather of AI” Geoffrey Hinton, who has said there’s a 20% chance that forms of AI currently being developed could “\u003ca href=\"https://www.cnbc.com/2025/06/17/ai-godfather-geoffrey-hinton-theres-a-chance-that-ai-could-displace-humans.html\">wipe us out\u003c/a>.”\u003c/p>\n\u003cp>Of specific concern is artificial general intelligence, which OpenAI is trying to develop and defines as “AI systems that are generally smarter than humans.” \u003ca href=\"https://www.ibm.com/think/topics/artificial-general-intelligence\">Other definitions\u003c/a> suggest it applies to the moment when AI learns to solve problems beyond the limitations it has today.\u003c/p>\n\u003cfigure id=\"attachment_12066178\" class=\"wp-caption aligncenter\" style=\"max-width: 2000px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-12066178\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/250310-TRUMP-SF-MD-05_qed.jpg\" alt=\"\" width=\"2000\" height=\"1333\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/250310-TRUMP-SF-MD-05_qed.jpg 2000w, https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/250310-TRUMP-SF-MD-05_qed-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/250310-TRUMP-SF-MD-05_qed-1536x1024.jpg 1536w\" sizes=\"auto, (max-width: 2000px) 100vw, 2000px\">\u003cfigcaption class=\"wp-caption-text\">San Francisco Mayor Daniel Lurie speaks at the opening of the new OpenAI headquarters in Mission Bay in San Francisco on March 10, 2025. \u003ccite>(Martin do Nascimento/KQED)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>While OpenAI says it is developing AGI so it “benefits all of humanity,” Stop AI wants the government to shut it down immediately.\u003c/p>\n\u003cp>“There is no way to prove that something smarter than us will stay safe forever and won’t eventually want something that will lead to our extinction, similar to how we’ve caused the extinction of many less intelligent species, and that’s the risk here,” Kirchner said in an interview at a protest outside OpenAI in February. “They don’t have proof that it will stay safe forever. They’re literally building Skynet in there.”\u003c/p>\n\u003cp>Even while already facing charges from protests in 2024, Stop AI members continued to protest OpenAI, including in February when they chained the doors to the company’s headquarters on 3rd Street near Chase Center and sat in front of the doors until police removed some of them from the premises.\u003c/p>\n\u003cp>“We’re gonna lock the doors now to this company,” Kirchner said through a bullhorn. “This company should not exist if it’s trying to build something that they admit could kill us all. So we’re gonna put our bodies on the line and try to prevent them from building that AGI system. And we invite everyone who thinks that what they’re doing is not OK to join us in this act of civil disobedience.”\u003c/p>\n\u003cp>The protest occurred on a Saturday, when OpenAI’s offices were closed.[aside postID=news_12063401 hero='https://cdn.kqed.org/wp-content/uploads/sites/10/2025/11/OpenAiLawsuitsGetty.jpg']“What’s going on in this business is not a legitimate business. It’s a threat to all of us. We have a right to protect the ones we love. We have a right to protect our own lives. We have the right of necessity to take nonviolent direct action to stop an imminent threat to our lives,” Reichstadter said before putting a steel chain through the handles of the front door of the OpenAI offices and locking it.\u003c/p>\n\u003cp>Soon, he and others sat in front of the door as San Francisco police arrived and detained several people, including Reichstadter and Kaufmyn.\u003c/p>\n\u003cp>Ahead of the court hearing on Nov. 21, Kaufmyn and Reichstadter spoke at a press conference about their concerns around AI, its use in war and its potential dangers to future generations.\u003c/p>\n\u003cp>“There’s so many reasons to be concerned about AI, but when I went to these presentations, I learned that the fate of humanity, the existence of every human life on Earth, is at stake, and the time frame is much closer than you would think,” Kaufmyn said.\u003c/p>\n\u003cp>Kaufmyn said she’s not afraid to go to jail for protesting OpenAI if it benefits humanity.\u003c/p>\n\u003cp>“We fully believe there is a credible risk of human extinction within the next one to three years,” Kaufmyn said. “Imagine if you believed that, as I do, as my co-defendants do, what would you do? We — with heavy hearts and fear — decided that we need to do everything we can to stop this.”\u003c/p>\n\u003cp>Reichstadter said he’s away from his children because he wants to guarantee them a future.\u003c/p>\n\u003cp>“We are being pushed towards the edge of a cliff by the reckless actions of these companies, and no one knows how close that edge is,” he said. “It’s our responsibility — everyone who understands this threat — to take direct nonviolent action immediately to end the race to super intelligence, the suicide race, which these companies are leading humanity to.”\u003c/p>\n\u003cp>[ad floatright]\u003c/p>\n",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003cp>A member of a Bay Area group that says they are trying to prevent artificial intelligence from ending humanity was again arrested while protesting outside \u003ca href=\"https://www.kqed.org/news/tag/openai\">OpenAI\u003c/a>’s San Francisco headquarters Thursday in apparent violation of a court order.\u003c/p>\n\u003cp>Guido Reichstadter was booked into San Francisco County Jail on Thursday evening, records show, for allegedly violating a judge’s order that barred him from the premises following his previous arrest with members of Stop AI. The group \u003ca href=\"https://www.yahoo.com/news/articles/openais-sam-altman-served-subpoena-141003524.html\">made national headlines\u003c/a> last month when a member of their defense team served a subpoena to OpenAI CEO Sam Altman while he was onstage at San Francisco’s Sydney Goldstein Theater with Golden State Warriors head coach Steve Kerr.\u003c/p>\n\u003cp>“Every day is an opportunity to collectively reclaim our integrity and our sanity — to draw the line which says this far and no farther, to end the race to superintelligence — but these days are dwindling rapidly and we do not know which day will be the last before that opportunity is lost to us forever,” Reichstadter \u003ca href=\"https://x.com/wolflovesmelon/status/1996584982396211543\">posted on X\u003c/a> Wednesday while announcing he was planning to continue to protest OpenAI.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>Reichstadter and Stop AI co-founder Sam Kirchner — along with co-defendant Wynd Kaufmyn — are awaiting trial for trespassing and other charges related to their continued protests outside OpenAI’s offices starting last year.\u003c/p>\n\u003cp>Attorneys for Altman have attempted to have his subpoena to testify at the criminal trial thrown out, but on Nov. 21, Judge Maria E. Evangelista ruled that that decision should be made by the judge who will be presiding over the trial.\u003c/p>\n\u003cp>Although the trial was set to start Friday, it was pushed back to Jan. 29. Records show Reichstadter remained in San Francisco County Jail without bond as of Friday.\u003c/p>\n\u003cfigure id=\"attachment_12066267\" class=\"wp-caption aligncenter\" style=\"max-width: 2560px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-12066267\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/IMG_1391-scaled.jpg\" alt=\"\" width=\"2560\" height=\"1707\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/IMG_1391-scaled.jpg 2560w, https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/IMG_1391-2000x1333.jpg 2000w, https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/IMG_1391-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/IMG_1391-1536x1024.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/IMG_1391-2048x1365.jpg 2048w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\">\u003cfigcaption class=\"wp-caption-text\">Stop AI co-founder Sam Kirchner speaks into a bullhorn outside OpenAI’s headquarters in San Francisco on Feb. 22, 2025. A bench warrant has been issued for Kirchner, who did not appear for a court appearance for trespassing and other charges late last month. Kirchner recently separated from the group. \u003ccite>(Brian Krans/KQED)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>Also on Nov. 21, Evangelista issued a bench warrant for Kirchner’s arrest when he failed to show for a court hearing. That same day, OpenAI’s offices were locked down following threats authorities believed to have come from Kirchner, as \u003ca href=\"https://www.wired.com/story/openai-office-lockdown-threat-san-francisco/?_sp=8f666012-7ff2-4d29-8dc9-047bbae3c137.1764640349753\">first reported by Wired\u003c/a>.\u003c/p>\n\u003cp>On Nov. 22, Stop AI \u003ca href=\"https://x.com/StopAI_Info/status/1992286218802073981\">posted on social media\u003c/a> that Kirchner assaulted a fellow member of the group. The attack and statements he made caused them to “fear that he might procure a weapon that he could use against employees of companies pursuing artificial superintelligence,” the post said, adding they still care about Kirchner.\u003c/p>\n\u003cp>Kirchner has since \u003ca href=\"https://x.com/No_AGI_/status/1991833980795326712\">posted on social media\u003c/a> that he is no longer associated with Stop AI.\u003c/p>\n\u003cp>The three co-defendants readily admit they prevented business operations at OpenAI as charged. Rather than setting out to prove their innocence, they said they were taking their misdemeanor charges to court to further raise awareness of their cause. They, among others who express extreme caution around the current development of AI, say there could soon be a point of no return between human intelligence and the artificial intelligence it is rapidly developing and deploying.\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>“The actions that we took from October to February – nonviolently blocking the doors of OpenAI — have gotten attention around the world,” Reichstadter said. “They are the reason why Sam Altman was served a subpoena to appear to testify to the fact that he is consciously endangering the existence of humanity.”\u003c/p>\n\u003cp>OpenAI did not respond to requests for comment. An attorney representing Altman, Gabriel Bronshteyn, declined to comment.\u003c/p>\n\u003cp>In a statement, Stop AI said the trial “will be the first time in human history where a jury of normal people are asked about the extinction threat that AI poses to humanity.”\u003c/p>\n\u003cp>Stop AI consists mostly of a small group of people who once lived together in a house in West Oakland. Reichstadter said he left his two teenage children in Miami to move to Oakland to join the fight against the development of potentially harmful AI, while Kirchner — a former electrical engineering tech and neuroscience student — moved from Seattle to found Stop AI in the Bay Area last year. Kaufmyn spent more than 40 years teaching computer sciences at City College of San Francisco.\u003c/p>\n\u003cp>Stop AI members often cite Nobel laureate and “godfather of AI” Geoffrey Hinton, who has said there’s a 20% chance that forms of AI currently being developed could “\u003ca href=\"https://www.cnbc.com/2025/06/17/ai-godfather-geoffrey-hinton-theres-a-chance-that-ai-could-displace-humans.html\">wipe us out\u003c/a>.”\u003c/p>\n\u003cp>Of specific concern is artificial general intelligence, which OpenAI is trying to develop and defines as “AI systems that are generally smarter than humans.” \u003ca href=\"https://www.ibm.com/think/topics/artificial-general-intelligence\">Other definitions\u003c/a> suggest it applies to the moment when AI learns to solve problems beyond the limitations it has today.\u003c/p>\n\u003cfigure id=\"attachment_12066178\" class=\"wp-caption aligncenter\" style=\"max-width: 2000px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-12066178\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/250310-TRUMP-SF-MD-05_qed.jpg\" alt=\"\" width=\"2000\" height=\"1333\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/250310-TRUMP-SF-MD-05_qed.jpg 2000w, https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/250310-TRUMP-SF-MD-05_qed-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2025/12/250310-TRUMP-SF-MD-05_qed-1536x1024.jpg 1536w\" sizes=\"auto, (max-width: 2000px) 100vw, 2000px\">\u003cfigcaption class=\"wp-caption-text\">San Francisco Mayor Daniel Lurie speaks at the opening of the new OpenAI headquarters in Mission Bay in San Francisco on March 10, 2025. \u003ccite>(Martin do Nascimento/KQED)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>While OpenAI says it is developing AGI so it “benefits all of humanity,” Stop AI wants the government to shut it down immediately.\u003c/p>\n\u003cp>“There is no way to prove that something smarter than us will stay safe forever and won’t eventually want something that will lead to our extinction, similar to how we’ve caused the extinction of many less intelligent species, and that’s the risk here,” Kirchner said in an interview at a protest outside OpenAI in February. “They don’t have proof that it will stay safe forever. They’re literally building Skynet in there.”\u003c/p>\n\u003cp>Even while already facing charges from protests in 2024, Stop AI members continued to protest OpenAI, including in February when they chained the doors to the company’s headquarters on 3rd Street near Chase Center and sat in front of the doors until police removed some of them from the premises.\u003c/p>\n\u003cp>“We’re gonna lock the doors now to this company,” Kirchner said through a bullhorn. “This company should not exist if it’s trying to build something that they admit could kill us all. So we’re gonna put our bodies on the line and try to prevent them from building that AGI system. And we invite everyone who thinks that what they’re doing is not OK to join us in this act of civil disobedience.”\u003c/p>\n\u003cp>The protest occurred on a Saturday, when OpenAI’s offices were closed.\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>“What’s going on in this business is not a legitimate business. It’s a threat to all of us. We have a right to protect the ones we love. We have a right to protect our own lives. We have the right of necessity to take nonviolent direct action to stop an imminent threat to our lives,” Reichstadter said before putting a steel chain through the handles of the front door of the OpenAI offices and locking it.\u003c/p>\n\u003cp>Soon, he and others sat in front of the door as San Francisco police arrived and detained several people, including Reichstadter and Kaufmyn.\u003c/p>\n\u003cp>Ahead of the court hearing on Nov. 21, Kaufmyn and Reichstadter spoke at a press conference about their concerns around AI, its use in war and its potential dangers to future generations.\u003c/p>\n\u003cp>“There’s so many reasons to be concerned about AI, but when I went to these presentations, I learned that the fate of humanity, the existence of every human life on Earth, is at stake, and the time frame is much closer than you would think,” Kaufmyn said.\u003c/p>\n\u003cp>Kaufmyn said she’s not afraid to go to jail for protesting OpenAI if it benefits humanity.\u003c/p>\n\u003cp>“We fully believe there is a credible risk of human extinction within the next one to three years,” Kaufmyn said. “Imagine if you believed that, as I do, as my co-defendants do, what would you do? We — with heavy hearts and fear — decided that we need to do everything we can to stop this.”\u003c/p>\n\u003cp>Reichstadter said he’s away from his children because he wants to guarantee them a future.\u003c/p>\n\u003cp>“We are being pushed towards the edge of a cliff by the reckless actions of these companies, and no one knows how close that edge is,” he said. “It’s our responsibility — everyone who understands this threat — to take direct nonviolent action immediately to end the race to super intelligence, the suicide race, which these companies are leading humanity to.”\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cp>Since President Trump appointed him as the White House artificial intelligence and cryptocurrency czar, Silicon Valley venture capitalist David Sacks has been in a position to drive policy in both emerging technologies. And according to recent reporting by the New York Times, Sacks has helped formulate policies that benefit him and his tech friends. Scott and Marisa are joined by New York Times reporter Ryan Mac, who was part of the team revealing Sacks’ conflicts of interest.\u003c/p>\n\u003cp>Check out \u003ca class=\"c-link c-link--underline\" href=\"https://www.kqed.org/newsletters/political-breakdown\" target=\"_blank\" rel=\"noopener noreferrer\" data-stringify-link=\"https://www.kqed.org/newsletters/political-breakdown\" data-sk=\"tooltip_parent\">Political Breakdown’s weekly newsletter\u003c/a>, delivered straight to your inbox.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\u003cp>\u003c/p>\n",
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"content": "\u003cp>AI-generated music and artists are now getting record deals and top spots on Billboard charts, with big implications for labor in the music industry. So how are human artists adapting to this rapidly changing landscape?\u003c/p>\n\u003cp>\u003c!-- iframe plugin v.4.3 wordpress.org/plugins/iframe/ -->\u003cbr>\n\u003ciframe loading=\"lazy\" frameborder=\"0\" height=\"200\" scrolling=\"no\" src=\"https://playlist.megaphone.fm?e=KQINC9189662895\" width=\"100%\" class=\"iframe-class\">\u003c/iframe>\u003c/p>\n\u003cp>\u003cstrong>Links:\u003c/strong>\u003c/p>\n\u003cul>\n\u003cli>\u003ca href=\"https://www.kqed.org/arts/13982572/ai-is-coming-for-the-music-industry-how-will-artists-adapt\">AI Is Coming for the Music Industry. How Will Artists Adapt?\u003c/a>\u003c/li>\n\u003c/ul>\n\u003cp>\u003ci>Some members of the KQED podcast team are represented by The Screen Actors Guild, American Federation of Television and Radio Artists, San Francisco-Northern California Local.\u003c/i>\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:01:49] Nastia, before we get into the AI-generated music of today, I wonder if you could tell us about the early days of AI in the music industry. I understand it actually goes back to about 2017, which I hadn’t actually realized.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:02:07] Yeah, absolutely. So Dr. Maya Ackerman is an academic and she was an early innovator in the generative AI space.\u003c/p>\n\u003cp>\u003cstrong>Maya Ackerman \u003c/strong>[00:02:18] So I joined the space commercially in late 2017, but it was only in late 2022 when investors essentially woke up to gen AI being the next hot thing.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:02:32] She’s a musician and she created this company called Wave AI and they make a software called Lyric Studio that basically gives you writing prompts and helps you build upon lyrical concepts that you’re already working on by giving them prompts and generating next lines and giving them rhyme scheme suggestions.\u003c/p>\n\u003cp>\u003cstrong>Maya Ackerman \u003c/strong>[00:02:51] It kind of invites you to write your own stuff, and whenever you’re stuck, you can get ideas for the next line. It’s not about giving you the answer. It’s about intentionally going to new places.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:03:01] I interviewed her and she said that about 10 years ago, this was a very niche academic discipline with about 100 researchers experimenting in it, but the trend that she’s seen in the last several years has been that the powerful investors that really have the money to make something happen are throwing their capital behind software that increasingly cuts the out of the creative process.\u003c/p>\n\u003cp>\u003cstrong>Maya Ackerman \u003c/strong>[00:03:35] Starting in 2017, investors didn’t care about it. It’s like, they didn’t think it was real, they didn’t think it would ever gonna catch on. We got to millions of users with Lyric Studios, which is a system that helps people write lyrics. But then once investors realized that it’s real, they wanted to replace musicians.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:03:52] So the two biggest AI music companies are Suno and Udio, and they both trained their models on all the recorded music that exists on the internet. And music made by both of these softwares has actually charted on Billboard.\u003c/p>\n\u003cp>\u003cstrong>Maya Ackerman \u003c/strong>[00:04:14] And so that’s what our discomfort around it, the sense that it’s here to take over artists, is because that’s where it was designed for, not because that what AI has to be, but that’s why this particular AI was designed to be. So yeah, it’s very unsettling, of course.\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:04:31] It’s wild to think about that we sort of went from a time when AI was seen as more of a tool to sort of help artists and musicians and now it’s just doing the work. When did you first start to see AI trickling into the music industry?\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:04:52] I first heard of AI seriously making an impact in the music industry when this completely fictional AI-generated R&B singer named Xania Monet, quote unquote, signed, her creator signed a $3 million record deal.\u003c/p>\n\u003cp>\u003cstrong>Xania Monet \u003c/strong>[00:05:11] Did her best but she can’t teach what it feels like when a father speaks so i took every i love you too\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:05:21] And that was in September, and this was the first AI-generated artist to actually get a recording contract.\u003c/p>\n\u003cp>\u003cstrong>Xania Monet \u003c/strong>[00:05:30] That he never showed me what felt right How was I supposed to set the bar When I ain’t never seen no man fight for my heart\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:05:41] There’s a poet behind this AI-generated musician. Her name is Talisha Jones. She contributed to the creation of Xania Monet. How is that different from how humans usually make music?\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:05:58] The creator of Xania Monet, Talisha Jones, just did an interview with CBS.\u003c/p>\n\u003cp>\u003cstrong>Talisha Jones \u003c/strong>[00:06:04] I wanted to reveal myself because I wanted people to know there was a real person behind Xania.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:06:10] She said, you know, technology is changing. These are just new tools, and people are always resistant to technology.\u003c/p>\n\u003cp>\u003cstrong>Talisha Jones \u003c/strong>[00:06:17] And anytime something… New comes about and it challenges the norm and challenges what we’re used to, you’re going to get strong reactions behind it. And I just feel like AI is the new era.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:06:29] Talisha Jones says that she writes all the lyrics herself without any assistance from AI. And then she goes into the software called Suno and she puts her lyrics in it and then she just gives it a text prompt. So she will say something like, slow tempo R&B with light guitar and heavy drums. And then so the software spits out. Bunch of options for songs and then she can give additional prompts to kind of help tweak it and then, she arrives at a final product. That’s very different from someone writing the lyrics and then you know singing it and composing a melody and then composing different instrumental parts then you know perhaps editing them on a software like Ableton and arriving at a final product And if you listen to Xania Monet, although the music has resonated with listeners, I can’t say there’s anything original sounding about it.\u003c/p>\n\u003cp>\u003cstrong>Kadhja Bonet \u003c/strong>[00:07:34] Being chosen if he stayed in the hurt was worth holding i called settling a sign of love…\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:07:45] I mean, people have compared her to R&B singers like Keyshia Cole and K. Michelle, and these are people that have spent their entire life training and honing their vocal gifts. What this AI model does is just take that and then learn to reproduce something very similar.\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:08:06] I will say it sounds very generic. It doesn’t sound like not a real person, but it sounds really generic. I feel like AI can never do love by Keyshia Cole, you know?\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:08:19] Yeah, or at least not something that would have the impact that it did when it came out.\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:08:23] Exactly.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:08:24] That’s what we think now, but who knows?\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:08:47] We’re sort of at a point where AI-generated music is already gaining popularity. What did you hear from the folks that you spoke with about their fears around the economic impact of AI on artists?\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:09:05] I spoke with Joey La Neve DeFrancesco and he is a member of the punk band Downtown Boys and he also is a co-founder of an advocacy group called United Musicians and Allied Workers.\u003c/p>\n\u003cp>\u003cstrong>Joey DeFrancesco \u003c/strong>[00:09:19] Our position is not that technology itself is bad, it’s who owns it, how it’s being implemented.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:09:25] In his view, it’s the goal of record labels and companies like Spotify to take human artists out of the creative process as much as possible because then they have fewer rights holders to pay for their music. So he really sees this as the end game of the music industry.\u003c/p>\n\u003cp>\u003cstrong>Joey DeFrancesco \u003c/strong>[00:09:44] But yeah, they want an AI artist because they don’t have to pay them, but also the AI artist doesn’t complain. The AI artist can’t unionize, the AI artists can’t do anything.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:09:57] He talked about how the very origins of the music industry in large part are founded in racism. The music industry going back to 100 years ago has profited tremendously from the creative innovations of black artists that were never properly compensated for their craft. These tools make it very, very easy for companies to further take black sounds and black esthetics and not compensate the people or communities that are driving that creativity.\u003c/p>\n\u003cp>\u003cstrong>Joey DeFrancesco \u003c/strong>[00:10:34] Since there’s been a music industry, the corporations that have profited from musicians have always been trying to devalue musicians’ labor to take the artists out of the picture as much as possible.\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:10:51] For Joey DeFrancesco and other critics, huge streaming services like Spotify have a lot to gain from AI. For years, Spotify has padded playlists with AI-generated music, which reduces the royalties it pays out to human artists. And so far, there’s no way for listeners to really distinguish between AI and human-made music. Joey’s advocacy group, United Musicians and Allied Workers, recently collaborated with Congresswoman Rashida Tlaib on the Living Wage for Musicians Act, which would ensure that money only goes to human creators. Spotify says it’s working on responsible AI tools and disclosures for AI-generated music. In a statement, the company said, quote, We want to build this future hand-in-hand with the music industry, guided by clear principles and deep respect for creators. Suno and Udio, two of the most dominant AI music companies, did not respond to KQED’s request for comment.\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:12:06] Did you talk to any artists in the Bay Area about concerns around just the heart and the soul of music that just gets lost when it’s AI-generated?\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:12:16] Absolutely, that was a very common concern the artists raised.\u003c/p>\n\u003cp>\u003cstrong>Kadhja Bonet \u003c/strong>[00:12:21] I’m an AI hater. I would put myself like pretty much as far as you can be on the AI hate train.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:12:28] One person I talked to in particular, Bay Area-raised Toronto-based singer Kadjha Bonet, talked about how when they write music, it’s not just influenced by things they’ve listened to recently or what they want to talk about in that moment. It’s the whole wealth of life experience or the experience of those around them. When I’m writing a song\u003c/p>\n\u003cp>\u003cstrong>Kadhja Bonet \u003c/strong>[00:12:49] I’m influenced by art I’ve consumed. I’m influence by movies and books I’ve read. I’m in influenced by conversations I’ve had recently. I’m I’m, influenced by the walk I had this morning. There’s so much that goes into how I show up to express myself in a day that I think we’re like, we can’t scratch the surface of by putting in like three of your favorite songs and seeing what comes out.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:13:15] They worry that if lyrics can just be made with the click of a button, then yeah, music will lose its heart. People wanna connect to another human when they listen to music.\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:13:25] There’s also like the role of the artist beyond the art. You know, we’ve seen artists play really important roles in social justice movements. Does Kadhja worry about that getting lost with AI artists as well?\u003c/p>\n\u003cp>\u003cstrong>Kadhja Bonet \u003c/strong>[00:13:39] Yeah, absolutely. Like, whoa, what if we can have this Black artist that we know will never stand up for Black rights, right? That we know we’ll never speak up for Palestine.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:13:49] It’s very, very convenient for record labels and tech companies to have these artists that can just generate profit and that will never speak out about anything controversial.\u003c/p>\n\u003cp>\u003cstrong>Kadhja Bonet \u003c/strong>[00:14:00] For them, it’s incredible. For us as a culture, we lose tremendously.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:14:05] They and a number of artists have already taken their music off Spotify because of AI, not just AI-generated music, but the fact that the CEO, Daniel Ek, became the chairman of an AI weapons company. Kadhja pointed to emerging smaller platforms. There’s one called Subvert that models itself after Bandcamp, but it’s a collectively owned platform that is democratically governed by artists. And there are other smaller platforms that people are developing. So I know a lot of us have been conditioned to have access to all recorded music at our fingertips on big streaming services like Spotify, but I think there’s a bit more of a splintering now because of these concerns.\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:14:58] Well, it seems like, Nastia, whether we like it or not, we are already seeing AI-generated music being rewarded, being celebrated with deals and number one spots on charts. I’m curious if you talked with any artists who are excited about AI and its potential.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:15:23] I talked to Kaila Love, who’s a hip hop artist from Richmond and a technologist and a tech educator.\u003c/p>\n\u003cp>\u003cstrong>Kaila Love \u003c/strong>[00:15:32] We need to use AI to apply our creativity and build businesses around our music.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:15:39] She was not excited about AI-generated artists taking the place of human artists, but she does see a lot of potential for AI to serve human musicians by freeing them up from more menial tasks.\u003c/p>\n\u003cp>\u003cstrong>Kaila Love \u003c/strong>[00:15:54] The same things that we’ve had to do as independent artists, which is like book our own shows, plan our own tours, make our own content, find our own network and fan base and be able to contact them directly without the need of a third party.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:16:08] So she created this company called Goalgetters AI, and it’s more of a marketing services company. So it can help artists generate electronic press kits and create marketing funnels for people to download and purchase their music. So she really sees it as a great tool for the business aspect.\u003c/p>\n\u003cp>\u003cstrong>Kaila Love \u003c/strong>[00:16:31] I’m going direct to consumer, I’m building my own platforms. That’s the way that AI should be used, not to create these clown ass artists. I think it’s just a big distraction on the possibilities of how we can actually use it in a way more meaningful way that creates sustainable futures and upward economic mobility and collaboration.\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:16:59] What does this mean for consumers? I mean, do you think people care where this music comes from or do you just think that they care that it sounds good?\u003c/p>\n\u003cp>[ad floatright]\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:17:10] I think it really depends on the consumer. There are some people that are true lovers of the craft behind music, and you know, I think for those people it may not be good enough or satisfying to listen to, but then there are plenty of people that will put on music just as background and not really pay attention to it. There was this AI-generated band called the Velvet Sundown that made headlines this summer for getting over a million Spotify plays, and Their monthly listeners have dropped off significantly since then, so it remains to be seen whether these AI-generated artists will really captivate listeners’ attention in the long term. For now, I don’t think AI can replace the human-to-human connection of seeing your favorite artist live at a show and for them to really sing their heart out or play their instruments and have that positive energy exchange with the audience. So I don’t think that real human-made music is going anywhere for now, but I do think that the advent of these AI-generated artists is making it a lot more difficult for human musicians who are already. Struggling in an industry that has increasingly taken out the sort of middle class and working class of musicians.\u003c/p>\n\n",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003cp>AI-generated music and artists are now getting record deals and top spots on Billboard charts, with big implications for labor in the music industry. So how are human artists adapting to this rapidly changing landscape?\u003c/p>\n\u003cp>\u003c!-- iframe plugin v.4.3 wordpress.org/plugins/iframe/ -->\u003cbr>\n\u003ciframe loading=\"lazy\" frameborder=\"0\" height=\"200\" scrolling=\"no\" src=\"https://playlist.megaphone.fm?e=KQINC9189662895\" width=\"100%\" class=\"iframe-class\">\u003c/iframe>\u003c/p>\n\u003cp>\u003cstrong>Links:\u003c/strong>\u003c/p>\n\u003cul>\n\u003cli>\u003ca href=\"https://www.kqed.org/arts/13982572/ai-is-coming-for-the-music-industry-how-will-artists-adapt\">AI Is Coming for the Music Industry. How Will Artists Adapt?\u003c/a>\u003c/li>\n\u003c/ul>\n\u003cp>\u003ci>Some members of the KQED podcast team are represented by The Screen Actors Guild, American Federation of Television and Radio Artists, San Francisco-Northern California Local.\u003c/i>\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:01:49] Nastia, before we get into the AI-generated music of today, I wonder if you could tell us about the early days of AI in the music industry. I understand it actually goes back to about 2017, which I hadn’t actually realized.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:02:07] Yeah, absolutely. So Dr. Maya Ackerman is an academic and she was an early innovator in the generative AI space.\u003c/p>\n\u003cp>\u003cstrong>Maya Ackerman \u003c/strong>[00:02:18] So I joined the space commercially in late 2017, but it was only in late 2022 when investors essentially woke up to gen AI being the next hot thing.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:02:32] She’s a musician and she created this company called Wave AI and they make a software called Lyric Studio that basically gives you writing prompts and helps you build upon lyrical concepts that you’re already working on by giving them prompts and generating next lines and giving them rhyme scheme suggestions.\u003c/p>\n\u003cp>\u003cstrong>Maya Ackerman \u003c/strong>[00:02:51] It kind of invites you to write your own stuff, and whenever you’re stuck, you can get ideas for the next line. It’s not about giving you the answer. It’s about intentionally going to new places.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:03:01] I interviewed her and she said that about 10 years ago, this was a very niche academic discipline with about 100 researchers experimenting in it, but the trend that she’s seen in the last several years has been that the powerful investors that really have the money to make something happen are throwing their capital behind software that increasingly cuts the out of the creative process.\u003c/p>\n\u003cp>\u003cstrong>Maya Ackerman \u003c/strong>[00:03:35] Starting in 2017, investors didn’t care about it. It’s like, they didn’t think it was real, they didn’t think it would ever gonna catch on. We got to millions of users with Lyric Studios, which is a system that helps people write lyrics. But then once investors realized that it’s real, they wanted to replace musicians.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:03:52] So the two biggest AI music companies are Suno and Udio, and they both trained their models on all the recorded music that exists on the internet. And music made by both of these softwares has actually charted on Billboard.\u003c/p>\n\u003cp>\u003cstrong>Maya Ackerman \u003c/strong>[00:04:14] And so that’s what our discomfort around it, the sense that it’s here to take over artists, is because that’s where it was designed for, not because that what AI has to be, but that’s why this particular AI was designed to be. So yeah, it’s very unsettling, of course.\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:04:31] It’s wild to think about that we sort of went from a time when AI was seen as more of a tool to sort of help artists and musicians and now it’s just doing the work. When did you first start to see AI trickling into the music industry?\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:04:52] I first heard of AI seriously making an impact in the music industry when this completely fictional AI-generated R&B singer named Xania Monet, quote unquote, signed, her creator signed a $3 million record deal.\u003c/p>\n\u003cp>\u003cstrong>Xania Monet \u003c/strong>[00:05:11] Did her best but she can’t teach what it feels like when a father speaks so i took every i love you too\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:05:21] And that was in September, and this was the first AI-generated artist to actually get a recording contract.\u003c/p>\n\u003cp>\u003cstrong>Xania Monet \u003c/strong>[00:05:30] That he never showed me what felt right How was I supposed to set the bar When I ain’t never seen no man fight for my heart\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:05:41] There’s a poet behind this AI-generated musician. Her name is Talisha Jones. She contributed to the creation of Xania Monet. How is that different from how humans usually make music?\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:05:58] The creator of Xania Monet, Talisha Jones, just did an interview with CBS.\u003c/p>\n\u003cp>\u003cstrong>Talisha Jones \u003c/strong>[00:06:04] I wanted to reveal myself because I wanted people to know there was a real person behind Xania.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:06:10] She said, you know, technology is changing. These are just new tools, and people are always resistant to technology.\u003c/p>\n\u003cp>\u003cstrong>Talisha Jones \u003c/strong>[00:06:17] And anytime something… New comes about and it challenges the norm and challenges what we’re used to, you’re going to get strong reactions behind it. And I just feel like AI is the new era.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:06:29] Talisha Jones says that she writes all the lyrics herself without any assistance from AI. And then she goes into the software called Suno and she puts her lyrics in it and then she just gives it a text prompt. So she will say something like, slow tempo R&B with light guitar and heavy drums. And then so the software spits out. Bunch of options for songs and then she can give additional prompts to kind of help tweak it and then, she arrives at a final product. That’s very different from someone writing the lyrics and then you know singing it and composing a melody and then composing different instrumental parts then you know perhaps editing them on a software like Ableton and arriving at a final product And if you listen to Xania Monet, although the music has resonated with listeners, I can’t say there’s anything original sounding about it.\u003c/p>\n\u003cp>\u003cstrong>Kadhja Bonet \u003c/strong>[00:07:34] Being chosen if he stayed in the hurt was worth holding i called settling a sign of love…\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:07:45] I mean, people have compared her to R&B singers like Keyshia Cole and K. Michelle, and these are people that have spent their entire life training and honing their vocal gifts. What this AI model does is just take that and then learn to reproduce something very similar.\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:08:06] I will say it sounds very generic. It doesn’t sound like not a real person, but it sounds really generic. I feel like AI can never do love by Keyshia Cole, you know?\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:08:19] Yeah, or at least not something that would have the impact that it did when it came out.\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:08:23] Exactly.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:08:24] That’s what we think now, but who knows?\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:08:47] We’re sort of at a point where AI-generated music is already gaining popularity. What did you hear from the folks that you spoke with about their fears around the economic impact of AI on artists?\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:09:05] I spoke with Joey La Neve DeFrancesco and he is a member of the punk band Downtown Boys and he also is a co-founder of an advocacy group called United Musicians and Allied Workers.\u003c/p>\n\u003cp>\u003cstrong>Joey DeFrancesco \u003c/strong>[00:09:19] Our position is not that technology itself is bad, it’s who owns it, how it’s being implemented.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:09:25] In his view, it’s the goal of record labels and companies like Spotify to take human artists out of the creative process as much as possible because then they have fewer rights holders to pay for their music. So he really sees this as the end game of the music industry.\u003c/p>\n\u003cp>\u003cstrong>Joey DeFrancesco \u003c/strong>[00:09:44] But yeah, they want an AI artist because they don’t have to pay them, but also the AI artist doesn’t complain. The AI artist can’t unionize, the AI artists can’t do anything.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:09:57] He talked about how the very origins of the music industry in large part are founded in racism. The music industry going back to 100 years ago has profited tremendously from the creative innovations of black artists that were never properly compensated for their craft. These tools make it very, very easy for companies to further take black sounds and black esthetics and not compensate the people or communities that are driving that creativity.\u003c/p>\n\u003cp>\u003cstrong>Joey DeFrancesco \u003c/strong>[00:10:34] Since there’s been a music industry, the corporations that have profited from musicians have always been trying to devalue musicians’ labor to take the artists out of the picture as much as possible.\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:10:51] For Joey DeFrancesco and other critics, huge streaming services like Spotify have a lot to gain from AI. For years, Spotify has padded playlists with AI-generated music, which reduces the royalties it pays out to human artists. And so far, there’s no way for listeners to really distinguish between AI and human-made music. Joey’s advocacy group, United Musicians and Allied Workers, recently collaborated with Congresswoman Rashida Tlaib on the Living Wage for Musicians Act, which would ensure that money only goes to human creators. Spotify says it’s working on responsible AI tools and disclosures for AI-generated music. In a statement, the company said, quote, We want to build this future hand-in-hand with the music industry, guided by clear principles and deep respect for creators. Suno and Udio, two of the most dominant AI music companies, did not respond to KQED’s request for comment.\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:12:06] Did you talk to any artists in the Bay Area about concerns around just the heart and the soul of music that just gets lost when it’s AI-generated?\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:12:16] Absolutely, that was a very common concern the artists raised.\u003c/p>\n\u003cp>\u003cstrong>Kadhja Bonet \u003c/strong>[00:12:21] I’m an AI hater. I would put myself like pretty much as far as you can be on the AI hate train.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:12:28] One person I talked to in particular, Bay Area-raised Toronto-based singer Kadjha Bonet, talked about how when they write music, it’s not just influenced by things they’ve listened to recently or what they want to talk about in that moment. It’s the whole wealth of life experience or the experience of those around them. When I’m writing a song\u003c/p>\n\u003cp>\u003cstrong>Kadhja Bonet \u003c/strong>[00:12:49] I’m influenced by art I’ve consumed. I’m influence by movies and books I’ve read. I’m in influenced by conversations I’ve had recently. I’m I’m, influenced by the walk I had this morning. There’s so much that goes into how I show up to express myself in a day that I think we’re like, we can’t scratch the surface of by putting in like three of your favorite songs and seeing what comes out.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:13:15] They worry that if lyrics can just be made with the click of a button, then yeah, music will lose its heart. People wanna connect to another human when they listen to music.\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:13:25] There’s also like the role of the artist beyond the art. You know, we’ve seen artists play really important roles in social justice movements. Does Kadhja worry about that getting lost with AI artists as well?\u003c/p>\n\u003cp>\u003cstrong>Kadhja Bonet \u003c/strong>[00:13:39] Yeah, absolutely. Like, whoa, what if we can have this Black artist that we know will never stand up for Black rights, right? That we know we’ll never speak up for Palestine.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:13:49] It’s very, very convenient for record labels and tech companies to have these artists that can just generate profit and that will never speak out about anything controversial.\u003c/p>\n\u003cp>\u003cstrong>Kadhja Bonet \u003c/strong>[00:14:00] For them, it’s incredible. For us as a culture, we lose tremendously.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:14:05] They and a number of artists have already taken their music off Spotify because of AI, not just AI-generated music, but the fact that the CEO, Daniel Ek, became the chairman of an AI weapons company. Kadhja pointed to emerging smaller platforms. There’s one called Subvert that models itself after Bandcamp, but it’s a collectively owned platform that is democratically governed by artists. And there are other smaller platforms that people are developing. So I know a lot of us have been conditioned to have access to all recorded music at our fingertips on big streaming services like Spotify, but I think there’s a bit more of a splintering now because of these concerns.\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:14:58] Well, it seems like, Nastia, whether we like it or not, we are already seeing AI-generated music being rewarded, being celebrated with deals and number one spots on charts. I’m curious if you talked with any artists who are excited about AI and its potential.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:15:23] I talked to Kaila Love, who’s a hip hop artist from Richmond and a technologist and a tech educator.\u003c/p>\n\u003cp>\u003cstrong>Kaila Love \u003c/strong>[00:15:32] We need to use AI to apply our creativity and build businesses around our music.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:15:39] She was not excited about AI-generated artists taking the place of human artists, but she does see a lot of potential for AI to serve human musicians by freeing them up from more menial tasks.\u003c/p>\n\u003cp>\u003cstrong>Kaila Love \u003c/strong>[00:15:54] The same things that we’ve had to do as independent artists, which is like book our own shows, plan our own tours, make our own content, find our own network and fan base and be able to contact them directly without the need of a third party.\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:16:08] So she created this company called Goalgetters AI, and it’s more of a marketing services company. So it can help artists generate electronic press kits and create marketing funnels for people to download and purchase their music. So she really sees it as a great tool for the business aspect.\u003c/p>\n\u003cp>\u003cstrong>Kaila Love \u003c/strong>[00:16:31] I’m going direct to consumer, I’m building my own platforms. That’s the way that AI should be used, not to create these clown ass artists. I think it’s just a big distraction on the possibilities of how we can actually use it in a way more meaningful way that creates sustainable futures and upward economic mobility and collaboration.\u003c/p>\n\u003cp>\u003cstrong>Ericka Cruz Guevarra \u003c/strong>[00:16:59] What does this mean for consumers? I mean, do you think people care where this music comes from or do you just think that they care that it sounds good?\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>\u003cstrong>Nastia Voynovskaya \u003c/strong>[00:17:10] I think it really depends on the consumer. There are some people that are true lovers of the craft behind music, and you know, I think for those people it may not be good enough or satisfying to listen to, but then there are plenty of people that will put on music just as background and not really pay attention to it. There was this AI-generated band called the Velvet Sundown that made headlines this summer for getting over a million Spotify plays, and Their monthly listeners have dropped off significantly since then, so it remains to be seen whether these AI-generated artists will really captivate listeners’ attention in the long term. For now, I don’t think AI can replace the human-to-human connection of seeing your favorite artist live at a show and for them to really sing their heart out or play their instruments and have that positive energy exchange with the audience. So I don’t think that real human-made music is going anywhere for now, but I do think that the advent of these AI-generated artists is making it a lot more difficult for human musicians who are already. Struggling in an industry that has increasingly taken out the sort of middle class and working class of musicians.\u003c/p>\n\n\u003c/div>\u003c/p>",
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"content": "\u003cp>\u003cb>Here are the morning’s top stories on Monday, November 10, 2025…\u003c/b>\u003c/p>\n\u003cul>\n\u003cli style=\"font-weight: 400\">\u003cspan style=\"font-weight: 400\">California legislators considered dozens of bills related to artificial intelligence this year. Those numbers have spiked as lawmakers grapple with the technology’s increasing presence and possible negative consequences. One point of concern: \u003c/span>\u003ca href=\"https://www.capradio.org/articles/2025/11/06/with-the-rise-of-ai-californias-data-centers-require-more-water-energy-but-by-how-much/\">\u003cspan style=\"font-weight: 400\">the impact that generative AI will have on the state’s natural resource\u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\">s as it becomes an everyday tool for Californians. \u003c/span>\u003c/li>\n\u003cli>Environmental activists are celebrating \u003ca href=\"https://www.kqed.org/news/12063468/environmentalists-celebrate-retirement-of-platform-esther-a-socal-oil-rig\">the retirement of a Southern California oil rig\u003c/a>, with a celebration at San Francisco’s waterfront. The California State Lands Commission officially finalized the decommission last week.\u003c/li>\n\u003c/ul>\n\u003ch2 class=\"page-title\">\u003ca href=\"https://www.capradio.org/articles/2025/11/06/with-the-rise-of-ai-californias-data-centers-require-more-water-energy-but-by-how-much/\">\u003cstrong>With The Rise Of AI, California’s Data Centers Require More Water, Energy. But By How Much?\u003c/strong>\u003c/a>\u003c/h2>\n\u003cp>Earlier this year, Governor Gavin Newsom \u003ca href=\"https://www.gov.ca.gov/2025/09/29/governor-newsom-signs-sb-53-advancing-californias-world-leading-artificial-intelligence-industry/\">signed\u003c/a> into law\u003ca href=\"https://leginfo.legislature.ca.gov/faces/billNavClient.xhtml?bill_id=202520260SB53\"> Senate Bill 53\u003c/a>, which would require large model developers like Anthropic and Open AI to be transparent about safety measures they put in place to prevent catastrophic events. The legislation would also create CalCompute, a public cloud infrastructure that expands access to AI resources for researchers, startups and public institutions.\u003c/p>\n\u003cp>This was one of several bills lawmakers introduced in Sacramento to regulate the AI industry. Assemblymember Rebecca Bauer-Kahan authored a bill requiring data centers to report their energy usage. It failed to pass. But she said the work for the bill began with that question, and a desire for more transparency. “As I started to ask questions about what kind of data was going into our understanding around the energy needs of the growing data center industry, it seemed like the answer was there wasn’t great data,” Bauer-Kahan said.\u003c/p>\n\u003cp>Assemblymember Diane Papan authored a similar bill looking to track water use at data centers. It required centers to provide estimates of their expected water use when applying for a business license, and an annual water use report thereafter. These centers generally require large amounts of water to cool down servers and other equipment. “I feel that the more information we have, it’ll help us integrate the growth of data centers into that broader task of climate resilient resource management, particularly as it relates to water,” Papan said. The bill passed through the legislature but was vetoed by Governor Newsom. In a statement, Newsom said he was “reluctant to impose rigid reporting requirements about operational details on this sector without understanding the full impact on businesses and the consumers of this technology.” The decision surprised Papan, who originally described the bill as one that was sure to pass given legislators’ desire to optimize California’s water planning. She said she disagrees with his thinking.\u003c/p>\n\u003cp>Data centers are places that contain the servers needed to provide essential services online, like web searches and video streaming. Large-scale data centers have been around for decades, first coming into existence about thirty years ago. But with the more recent rise of generative AI — the kind used for chatbots like ChatGPT — the water and energy these centers demand has gone up. Shaolei Ren, an associate professor of electrical and computer engineering at UC Riverside, said discussions about the environmental impacts associated with increasing AI use aren’t completely new. Artificial intelligence has been integrated in online platforms for years now — like with YouTube, for example, where AI is used to give tailored video recommendations. But Ren said it wasn’t until after 2020, when the general public became more aware of the integration of generative AI online, that these conversations really took hold. And with the technology’s growth comes a greater demand on resources – in California and the rest of the country. Citing a Lawrence Berkeley National Laboratory report, Ren said data centers accounted for 3% of the nation’s energy use in 2020. That’s projected to increase by up to 12% by 2028. Ren said the way in which data centers consume these resources also plays a part in their impact on state resources. A data center may consume the same amount of water in a year as an office building, for example. But if most of that consumption happens during one hot summer month instead of evenly throughout the year, he said that could create a different kind of stress on water resources.\u003c/p>\n\u003ch2 class=\"routes-Site-routes-Post-Title-__Title__title\">\u003ca href=\"https://www.kqed.org/news/12063468/environmentalists-celebrate-retirement-of-platform-esther-a-socal-oil-rig\">\u003cstrong>Environmentalists Celebrate ‘Retirement’ Of Platform Esther, A SoCal Oil Rig\u003c/strong>\u003c/a>\u003c/h2>\n\u003cp>Environmental activists partied outside the \u003ca href=\"https://www.kqed.org/news/tag/san-francisco\">San Francisco\u003c/a> Ferry Building on Friday to celebrate the decommission of a Southern California oil rig. The Center for Biological Diversity called the event a “retirement party” for Platform Esther, a soon-to-be decommissioned oil rig off the coast of Orange County.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>Activists donned party hats and performed their own rendition of Kool & the Gang’s \u003cem>Celebration\u003c/em>, renamed \u003cem>Decommission. \u003c/em>They danced with a giant inflatable whale, and tore into a blue-iced cake decorated with a paper cutout of an oil rig.\u003c/p>\n\u003cp>Inside the Ferry Building, the California State Lands Commission officially finalized the decommission at a hearing. “This is actually a historic win. This platform is being retired about fifteen years ahead of the official end of its useful life,” said Ilonka Zlatar, an organizer with Oil and Gas Action Network. “We want to thank the State Lands Commission and the agencies that are standing up and helping us to transition into the clean energy economy that we need.”\u003c/p>\n\u003cp>Platform Esther was first built in 1965 and is located 1.5 miles off the coast of Seal Beach. It was rebuilt in the ’80s after sustaining major damage from a winter storm in 1983. Production officially ceased in August 2025.\u003c/p>\n\u003cp>\u003c/p>\n\u003cp>New leases for oil drilling off the coast haven’t been approved since 1984, and past Republican presidents have worked with Democrats in protecting California’s waters from drilling. But conservation efforts have faced new threats under the current and past Trump administrations, which \u003ca href=\"https://www.sfchronicle.com/california/article/trump-offshore-drilling-21116334.php\">recently revealed a proposal\u003c/a> to dramatically ramp up oil drilling off California’s coast to increase the country’s energy independence.\u003c/p>\n\n",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003cp>\u003cb>Here are the morning’s top stories on Monday, November 10, 2025…\u003c/b>\u003c/p>\n\u003cul>\n\u003cli style=\"font-weight: 400\">\u003cspan style=\"font-weight: 400\">California legislators considered dozens of bills related to artificial intelligence this year. Those numbers have spiked as lawmakers grapple with the technology’s increasing presence and possible negative consequences. One point of concern: \u003c/span>\u003ca href=\"https://www.capradio.org/articles/2025/11/06/with-the-rise-of-ai-californias-data-centers-require-more-water-energy-but-by-how-much/\">\u003cspan style=\"font-weight: 400\">the impact that generative AI will have on the state’s natural resource\u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\">s as it becomes an everyday tool for Californians. \u003c/span>\u003c/li>\n\u003cli>Environmental activists are celebrating \u003ca href=\"https://www.kqed.org/news/12063468/environmentalists-celebrate-retirement-of-platform-esther-a-socal-oil-rig\">the retirement of a Southern California oil rig\u003c/a>, with a celebration at San Francisco’s waterfront. The California State Lands Commission officially finalized the decommission last week.\u003c/li>\n\u003c/ul>\n\u003ch2 class=\"page-title\">\u003ca href=\"https://www.capradio.org/articles/2025/11/06/with-the-rise-of-ai-californias-data-centers-require-more-water-energy-but-by-how-much/\">\u003cstrong>With The Rise Of AI, California’s Data Centers Require More Water, Energy. But By How Much?\u003c/strong>\u003c/a>\u003c/h2>\n\u003cp>Earlier this year, Governor Gavin Newsom \u003ca href=\"https://www.gov.ca.gov/2025/09/29/governor-newsom-signs-sb-53-advancing-californias-world-leading-artificial-intelligence-industry/\">signed\u003c/a> into law\u003ca href=\"https://leginfo.legislature.ca.gov/faces/billNavClient.xhtml?bill_id=202520260SB53\"> Senate Bill 53\u003c/a>, which would require large model developers like Anthropic and Open AI to be transparent about safety measures they put in place to prevent catastrophic events. The legislation would also create CalCompute, a public cloud infrastructure that expands access to AI resources for researchers, startups and public institutions.\u003c/p>\n\u003cp>This was one of several bills lawmakers introduced in Sacramento to regulate the AI industry. Assemblymember Rebecca Bauer-Kahan authored a bill requiring data centers to report their energy usage. It failed to pass. But she said the work for the bill began with that question, and a desire for more transparency. “As I started to ask questions about what kind of data was going into our understanding around the energy needs of the growing data center industry, it seemed like the answer was there wasn’t great data,” Bauer-Kahan said.\u003c/p>\n\u003cp>Assemblymember Diane Papan authored a similar bill looking to track water use at data centers. It required centers to provide estimates of their expected water use when applying for a business license, and an annual water use report thereafter. These centers generally require large amounts of water to cool down servers and other equipment. “I feel that the more information we have, it’ll help us integrate the growth of data centers into that broader task of climate resilient resource management, particularly as it relates to water,” Papan said. The bill passed through the legislature but was vetoed by Governor Newsom. In a statement, Newsom said he was “reluctant to impose rigid reporting requirements about operational details on this sector without understanding the full impact on businesses and the consumers of this technology.” The decision surprised Papan, who originally described the bill as one that was sure to pass given legislators’ desire to optimize California’s water planning. She said she disagrees with his thinking.\u003c/p>\n\u003cp>Data centers are places that contain the servers needed to provide essential services online, like web searches and video streaming. Large-scale data centers have been around for decades, first coming into existence about thirty years ago. But with the more recent rise of generative AI — the kind used for chatbots like ChatGPT — the water and energy these centers demand has gone up. Shaolei Ren, an associate professor of electrical and computer engineering at UC Riverside, said discussions about the environmental impacts associated with increasing AI use aren’t completely new. Artificial intelligence has been integrated in online platforms for years now — like with YouTube, for example, where AI is used to give tailored video recommendations. But Ren said it wasn’t until after 2020, when the general public became more aware of the integration of generative AI online, that these conversations really took hold. And with the technology’s growth comes a greater demand on resources – in California and the rest of the country. Citing a Lawrence Berkeley National Laboratory report, Ren said data centers accounted for 3% of the nation’s energy use in 2020. That’s projected to increase by up to 12% by 2028. Ren said the way in which data centers consume these resources also plays a part in their impact on state resources. A data center may consume the same amount of water in a year as an office building, for example. But if most of that consumption happens during one hot summer month instead of evenly throughout the year, he said that could create a different kind of stress on water resources.\u003c/p>\n\u003ch2 class=\"routes-Site-routes-Post-Title-__Title__title\">\u003ca href=\"https://www.kqed.org/news/12063468/environmentalists-celebrate-retirement-of-platform-esther-a-socal-oil-rig\">\u003cstrong>Environmentalists Celebrate ‘Retirement’ Of Platform Esther, A SoCal Oil Rig\u003c/strong>\u003c/a>\u003c/h2>\n\u003cp>Environmental activists partied outside the \u003ca href=\"https://www.kqed.org/news/tag/san-francisco\">San Francisco\u003c/a> Ferry Building on Friday to celebrate the decommission of a Southern California oil rig. The Center for Biological Diversity called the event a “retirement party” for Platform Esther, a soon-to-be decommissioned oil rig off the coast of Orange County.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>Activists donned party hats and performed their own rendition of Kool & the Gang’s \u003cem>Celebration\u003c/em>, renamed \u003cem>Decommission. \u003c/em>They danced with a giant inflatable whale, and tore into a blue-iced cake decorated with a paper cutout of an oil rig.\u003c/p>\n\u003cp>Inside the Ferry Building, the California State Lands Commission officially finalized the decommission at a hearing. “This is actually a historic win. This platform is being retired about fifteen years ahead of the official end of its useful life,” said Ilonka Zlatar, an organizer with Oil and Gas Action Network. “We want to thank the State Lands Commission and the agencies that are standing up and helping us to transition into the clean energy economy that we need.”\u003c/p>\n\u003cp>Platform Esther was first built in 1965 and is located 1.5 miles off the coast of Seal Beach. It was rebuilt in the ’80s after sustaining major damage from a winter storm in 1983. Production officially ceased in August 2025.\u003c/p>\n\u003cp>\u003c/p>\n\u003cp>New leases for oil drilling off the coast haven’t been approved since 1984, and past Republican presidents have worked with Democrats in protecting California’s waters from drilling. But conservation efforts have faced new threats under the current and past Trump administrations, which \u003ca href=\"https://www.sfchronicle.com/california/article/trump-offshore-drilling-21116334.php\">recently revealed a proposal\u003c/a> to dramatically ramp up oil drilling off California’s coast to increase the country’s energy independence.\u003c/p>\n\n\u003c/div>\u003c/p>",
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"content": "\u003cp>\u003cem>This story was originally published by \u003ca href=\"https://calmatters.org/\">CalMatters\u003c/a>. \u003ca href=\"https://calmatters.org/subscribe-to-calmatters/\">Sign up\u003c/a> for their newsletters.\u003c/em>\u003c/p>\n\u003cp>\u003ca href=\"https://www.kqed.org/news/category/technology\">OpenAI\u003c/a> said Tuesday it would restructure as a for-profit company in a way that addresses concerns from California Attorney General Rob Bonta, who signed off on the transformation.\u003c/p>\n\u003cp>But details of the move could revive worries that OpenAI is misusing charitable tax exemptions, experts and advocates told CalMatters. The ChatGPT maker is putting its nonprofit arm nominally in control of the for-profit entity, but there are numerous ways the for-profit company could end up calling the shots, these people said. There are also important, unanswered questions about the safeguards that are supposed to keep that from happening.\u003c/p>\n\u003cp>Under the restructuring, the newly-formed OpenAI Foundation will hold about 26 percent of \u003ca href=\"https://www.reuters.com/technology/openai-hits-500-billion-valuation-after-share-sale-source-says-2025-10-02/\">OpenAI’s valuation\u003c/a>, a share amounting to $130 billion, instantly making it one of the most well-endowed philanthropic organizations in the world. Microsoft, company employees, and other investors will hold the rest. The controlling nonprofit foundation can appoint members of the for-profit board of directors and, through a special committee, step in to address AI safety concerns. The company also pledged to remain in California.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>OpenAI did not respond to a CalMatters request for additional details about potential safeguards to preserve the independence of the OpenAI Foundation.\u003c/p>\n\u003cp>OpenAI’s plans \u003ca href=\"https://calmatters.org/economy/technology/2025/01/openai-investigation-california/\">came under scrutiny in California because\u003c/a> Bonta, along with Delaware Attorney General Kathy Jennings, wanted to ensure the company stayed true to the mission laid out in its charter when the organization was founded as a nonprofit a decade ago to make artificial intelligence that benefits humanity. The company had pledged all “assets are irrevocably dedicated” to this purpose.\u003c/p>\n\u003cp>OpenAI has faced criticism for a wide range of impacts on society. In August, \u003ca href=\"https://www.nytimes.com/2025/08/26/technology/chatgpt-openai-suicide.html\">the parents of California teenager Adam Raine alleged in a lawsuit that ChatGPT \u003c/a>coached him on how to commit suicide. The company put restrictions on its generative AI video app Sora 2 after depictions \u003ca href=\"https://www.cbsnews.com/news/openai-martin-luther-depictions-king-jr-sora-2-app/\">of Martin Luther King Jr\u003c/a> were criticized as disrespectful. Lawmakers in California \u003ca href=\"https://calmatters.org/environment/2025/09/data-centers-california-electricity-rates/\">have also moved to mitigate\u003c/a> rising power consumption and proliferation of data centers driven by ChatGPT and similar tools. At the same time, the company has helped drive an AI boom that has seen Big Tech companies \u003ca href=\"https://calmatters.org/economy/technology/2024/10/ca-corporate-tax-revenue-surge/\">surge money into state tax coffers\u003c/a>.\u003c/p>\n\u003cp>Bonta and Jennings have both now signed \u003ca href=\"https://oag.ca.gov/system/files/attachments/press-docs/Final%20Executed%20MOU%20Between%20OpenAI%20and%20California%20AG%20re%20Notice%20of%20Conditions%20of%20Non-Objection%20%2810.27.2025%29%20%28Signed%20by%20OpenAI%29%20%28Signed%20by%20CA%20DOJ%29.pdf\">agreements with OpenAI\u003c/a> blessing its new structure.\u003c/p>\n\u003cp>[aside postID=news_12060365 hero='https://cdn.kqed.org/wp-content/uploads/sites/10/2025/10/SamAltmanGetty.jpg']\u003c/p>\n\u003cp>“We will be keeping a close eye on OpenAI to ensure ongoing adherence to its charitable mission and the protection of the safety of all Californians,” Bonta \u003ca href=\"https://oag.ca.gov/news/press-releases/attorney-general-bonta-issues-statement-openai%E2%80%99s-recapitalization-plan\">wrote\u003c/a>.\u003c/p>\n\u003cp>Robert Bartlett, a professor of law and business at Stanford Law School, has studied and worked in the venture capital ecosystem for three decades. He said OpenAI’s start as a nonprofit was unusual and related to its unique mission around artificial intelligence. But it found being a nonprofit restrictive, making it difficult to raise capital and compensate its employees with equity in the company. Its restructuring should pave the way for an eventual \u003ca href=\"https://www.reuters.com/business/openai-lays-groundwork-juggernaut-ipo-up-1-trillion-valuation-2025-10-29/\">initial public offering\u003c/a>.\u003c/p>\n\u003cp>Bartlett said the new arrangement that the nonprofit, a minority stakeholder, will have oversight of the public benefit corporation is also unusual. He said the deal envisions a “pretty active role” for the nonprofit’s safety committee, which will include the right to control safety procedures and halt the release of AI models made by the corporation. OpenAI previously \u003ca href=\"https://openai.com/index/update-on-safety-and-security-practices/\">named four members\u003c/a> of the safety committee on its website and has \u003ca href=\"https://openai.com/our-structure/\">said all current members\u003c/a> of the non-profit board will serve on the for-profit board, with some as observers.\u003c/p>\n\u003cp>But not knowing exactly how much overlap there might be between the boards of the nonprofit and the corporation is a big question, as is the ultimate composition of the committee, Bartlett said. \u003c/p>\n\u003cp>“We’ll have to see what happens, who’s on the committee, how active (they are), and their relationship to OpenAI,” Bartlett said. “Will (the structure) be meaningful and consistent with the AG’s focus on safety?”\u003c/p>\n\u003cp>Steven Adler previously led a product safety team at OpenAI. On Tuesday he published an\u003ca href=\"https://www.nytimes.com/2025/10/28/opinion/openai-chatgpt-safety.html\"> op-ed in the New York Times\u003c/a> that argues that the company can’t be trusted when they say they can safely\u003ca href=\"https://x.com/sama/status/1978129344598827128\"> deploy erotica chatbots\u003c/a> in part because it has a history of ignoring risks.\u003c/p>\n\u003cp>He told CalMatters that under the restructure that he thinks the nonprofit’s safety committee needs more independence to operate effectively. “I hope that a truly independent body will do a better job of protecting the organization’s mission than one that feels any pull toward profits,” he said.\u003c/p>\n\u003cfigure>\n\u003cblockquote>\n\u003cp>“There’s a bazillion conflicts of interest here.”\u003c/p>\n\u003cp>\u003ccite>Judith Bell, San Francisco Foundation\u003c/cite>\u003c/p>\u003c/blockquote>\n\u003c/figure>\n\u003cp>OpenAI’s restructuring drew ire from \u003ca href=\"https://www.eyesonopenai.org/\">Eyes On OpenAI\u003c/a>, a coalition of more than 60 California nonprofit organizations who have argued for more than a year that attorneys general should force the company to transfer its assets to an independent nonprofit entity. The precedent for this approach comes from Blue Cross of California, which started as a nonprofit. Following a transfer of assets to a for-profit subsidiary in the 1990s, that organization \u003ca href=\"https://pmc.ncbi.nlm.nih.gov/articles/PMC2690248/\">gave more than $3 billion in stock to two foundations\u003c/a>.\u003c/p>\n\u003cp>San Francisco Foundation chief Impact Officer Judith Bell, a member of the Eyes on OpenAI coalition, said the deal could set a precedent for startups to evade taxes, and is also concerned that under the restructuring the same people can serve on boards of directors for the for-profit and the nonprofit.\u003c/p>\n\u003cp>“There’s a bazillion conflicts of interest here,” she said, adding that those conflicts are particularly worrisome given the broad potential harms the foundation needs to keep an eye on, including how the tech impacts children, the economy, the workplace, and society.\u003c/p>\n\u003cp>The deal speaks to the tremendous influence of a corporation to push forward a deal, said Orson Aguilar, director of the advocacy nonprofit LatinoProsperity and a member of the Eyes On OpenAI coalition.\u003c/p>\n\u003cp>He believes OpenAI lost its way when key executives realized they could make an enormous amount of money for themselves. Members of the nonprofit board, meanwhile, variously quit and lost influence after some of them attempted to oust CEO Sam Altman in 2023.\u003c/p>\n\u003cp>“The nonprofit continues to operate under the influence of the for-profit it supposedly oversees and that’s been our biggest objection and nothing today tells us that anything meaningful has changed that,” he said.\u003c/p>\n\u003cp>This article was \u003ca href=\"https://calmatters.org/economy/technology/2025/10/openai-restructuring-deal-full-of-holes-critics-say/\">originally published on CalMatters\u003c/a> and was republished under the \u003ca href=\"https://creativecommons.org/licenses/by-nc-nd/4.0/\">Creative Commons Attribution-NonCommercial-NoDerivatives\u003c/a> license.\u003c/p>\n\u003cp>[ad floatright]\u003c/p>\n",
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"excerpt": "The company behind ChatGPT is converting to a for-profit company and settling an investigation by California’s attorney general. Experts and advocates say the company could still exploit its charitable roots.\r\n\r\n",
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"title": "OpenAI Just Cut a Deal With California. Critics Say It’s Full of Holes | KQED",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003cp>\u003cem>This story was originally published by \u003ca href=\"https://calmatters.org/\">CalMatters\u003c/a>. \u003ca href=\"https://calmatters.org/subscribe-to-calmatters/\">Sign up\u003c/a> for their newsletters.\u003c/em>\u003c/p>\n\u003cp>\u003ca href=\"https://www.kqed.org/news/category/technology\">OpenAI\u003c/a> said Tuesday it would restructure as a for-profit company in a way that addresses concerns from California Attorney General Rob Bonta, who signed off on the transformation.\u003c/p>\n\u003cp>But details of the move could revive worries that OpenAI is misusing charitable tax exemptions, experts and advocates told CalMatters. The ChatGPT maker is putting its nonprofit arm nominally in control of the for-profit entity, but there are numerous ways the for-profit company could end up calling the shots, these people said. There are also important, unanswered questions about the safeguards that are supposed to keep that from happening.\u003c/p>\n\u003cp>Under the restructuring, the newly-formed OpenAI Foundation will hold about 26 percent of \u003ca href=\"https://www.reuters.com/technology/openai-hits-500-billion-valuation-after-share-sale-source-says-2025-10-02/\">OpenAI’s valuation\u003c/a>, a share amounting to $130 billion, instantly making it one of the most well-endowed philanthropic organizations in the world. Microsoft, company employees, and other investors will hold the rest. The controlling nonprofit foundation can appoint members of the for-profit board of directors and, through a special committee, step in to address AI safety concerns. The company also pledged to remain in California.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>OpenAI did not respond to a CalMatters request for additional details about potential safeguards to preserve the independence of the OpenAI Foundation.\u003c/p>\n\u003cp>OpenAI’s plans \u003ca href=\"https://calmatters.org/economy/technology/2025/01/openai-investigation-california/\">came under scrutiny in California because\u003c/a> Bonta, along with Delaware Attorney General Kathy Jennings, wanted to ensure the company stayed true to the mission laid out in its charter when the organization was founded as a nonprofit a decade ago to make artificial intelligence that benefits humanity. The company had pledged all “assets are irrevocably dedicated” to this purpose.\u003c/p>\n\u003cp>OpenAI has faced criticism for a wide range of impacts on society. In August, \u003ca href=\"https://www.nytimes.com/2025/08/26/technology/chatgpt-openai-suicide.html\">the parents of California teenager Adam Raine alleged in a lawsuit that ChatGPT \u003c/a>coached him on how to commit suicide. The company put restrictions on its generative AI video app Sora 2 after depictions \u003ca href=\"https://www.cbsnews.com/news/openai-martin-luther-depictions-king-jr-sora-2-app/\">of Martin Luther King Jr\u003c/a> were criticized as disrespectful. Lawmakers in California \u003ca href=\"https://calmatters.org/environment/2025/09/data-centers-california-electricity-rates/\">have also moved to mitigate\u003c/a> rising power consumption and proliferation of data centers driven by ChatGPT and similar tools. At the same time, the company has helped drive an AI boom that has seen Big Tech companies \u003ca href=\"https://calmatters.org/economy/technology/2024/10/ca-corporate-tax-revenue-surge/\">surge money into state tax coffers\u003c/a>.\u003c/p>\n\u003cp>Bonta and Jennings have both now signed \u003ca href=\"https://oag.ca.gov/system/files/attachments/press-docs/Final%20Executed%20MOU%20Between%20OpenAI%20and%20California%20AG%20re%20Notice%20of%20Conditions%20of%20Non-Objection%20%2810.27.2025%29%20%28Signed%20by%20OpenAI%29%20%28Signed%20by%20CA%20DOJ%29.pdf\">agreements with OpenAI\u003c/a> blessing its new structure.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>“We will be keeping a close eye on OpenAI to ensure ongoing adherence to its charitable mission and the protection of the safety of all Californians,” Bonta \u003ca href=\"https://oag.ca.gov/news/press-releases/attorney-general-bonta-issues-statement-openai%E2%80%99s-recapitalization-plan\">wrote\u003c/a>.\u003c/p>\n\u003cp>Robert Bartlett, a professor of law and business at Stanford Law School, has studied and worked in the venture capital ecosystem for three decades. He said OpenAI’s start as a nonprofit was unusual and related to its unique mission around artificial intelligence. But it found being a nonprofit restrictive, making it difficult to raise capital and compensate its employees with equity in the company. Its restructuring should pave the way for an eventual \u003ca href=\"https://www.reuters.com/business/openai-lays-groundwork-juggernaut-ipo-up-1-trillion-valuation-2025-10-29/\">initial public offering\u003c/a>.\u003c/p>\n\u003cp>Bartlett said the new arrangement that the nonprofit, a minority stakeholder, will have oversight of the public benefit corporation is also unusual. He said the deal envisions a “pretty active role” for the nonprofit’s safety committee, which will include the right to control safety procedures and halt the release of AI models made by the corporation. OpenAI previously \u003ca href=\"https://openai.com/index/update-on-safety-and-security-practices/\">named four members\u003c/a> of the safety committee on its website and has \u003ca href=\"https://openai.com/our-structure/\">said all current members\u003c/a> of the non-profit board will serve on the for-profit board, with some as observers.\u003c/p>\n\u003cp>But not knowing exactly how much overlap there might be between the boards of the nonprofit and the corporation is a big question, as is the ultimate composition of the committee, Bartlett said. \u003c/p>\n\u003cp>“We’ll have to see what happens, who’s on the committee, how active (they are), and their relationship to OpenAI,” Bartlett said. “Will (the structure) be meaningful and consistent with the AG’s focus on safety?”\u003c/p>\n\u003cp>Steven Adler previously led a product safety team at OpenAI. On Tuesday he published an\u003ca href=\"https://www.nytimes.com/2025/10/28/opinion/openai-chatgpt-safety.html\"> op-ed in the New York Times\u003c/a> that argues that the company can’t be trusted when they say they can safely\u003ca href=\"https://x.com/sama/status/1978129344598827128\"> deploy erotica chatbots\u003c/a> in part because it has a history of ignoring risks.\u003c/p>\n\u003cp>He told CalMatters that under the restructure that he thinks the nonprofit’s safety committee needs more independence to operate effectively. “I hope that a truly independent body will do a better job of protecting the organization’s mission than one that feels any pull toward profits,” he said.\u003c/p>\n\u003cfigure>\n\u003cblockquote>\n\u003cp>“There’s a bazillion conflicts of interest here.”\u003c/p>\n\u003cp>\u003ccite>Judith Bell, San Francisco Foundation\u003c/cite>\u003c/p>\u003c/blockquote>\n\u003c/figure>\n\u003cp>OpenAI’s restructuring drew ire from \u003ca href=\"https://www.eyesonopenai.org/\">Eyes On OpenAI\u003c/a>, a coalition of more than 60 California nonprofit organizations who have argued for more than a year that attorneys general should force the company to transfer its assets to an independent nonprofit entity. The precedent for this approach comes from Blue Cross of California, which started as a nonprofit. Following a transfer of assets to a for-profit subsidiary in the 1990s, that organization \u003ca href=\"https://pmc.ncbi.nlm.nih.gov/articles/PMC2690248/\">gave more than $3 billion in stock to two foundations\u003c/a>.\u003c/p>\n\u003cp>San Francisco Foundation chief Impact Officer Judith Bell, a member of the Eyes on OpenAI coalition, said the deal could set a precedent for startups to evade taxes, and is also concerned that under the restructuring the same people can serve on boards of directors for the for-profit and the nonprofit.\u003c/p>\n\u003cp>“There’s a bazillion conflicts of interest here,” she said, adding that those conflicts are particularly worrisome given the broad potential harms the foundation needs to keep an eye on, including how the tech impacts children, the economy, the workplace, and society.\u003c/p>\n\u003cp>The deal speaks to the tremendous influence of a corporation to push forward a deal, said Orson Aguilar, director of the advocacy nonprofit LatinoProsperity and a member of the Eyes On OpenAI coalition.\u003c/p>\n\u003cp>He believes OpenAI lost its way when key executives realized they could make an enormous amount of money for themselves. Members of the nonprofit board, meanwhile, variously quit and lost influence after some of them attempted to oust CEO Sam Altman in 2023.\u003c/p>\n\u003cp>“The nonprofit continues to operate under the influence of the for-profit it supposedly oversees and that’s been our biggest objection and nothing today tells us that anything meaningful has changed that,” he said.\u003c/p>\n\u003cp>This article was \u003ca href=\"https://calmatters.org/economy/technology/2025/10/openai-restructuring-deal-full-of-holes-critics-say/\">originally published on CalMatters\u003c/a> and was republished under the \u003ca href=\"https://creativecommons.org/licenses/by-nc-nd/4.0/\">Creative Commons Attribution-NonCommercial-NoDerivatives\u003c/a> license.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"slug": "new-state-law-requires-additional-safeguards-when-police-use-generative-ai",
"title": "New State Law Requires Additional Safeguards When Police Use Generative AI",
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"headTitle": "New State Law Requires Additional Safeguards When Police Use Generative AI | KQED",
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"content": "\u003cp>FRESNO, Calif. — Gov. Gavin Newsom this month signed a \u003ca href=\"https://www.kqed.org/news/12007520/how-artificial-intelligence-is-changing-the-reports-police-write\">first-of-its-kind California law\u003c/a> requiring police to disclose how they use generative artificial intelligence, a move aimed at boosting transparency and public trust.\u003c/p>\n\u003cp>California is among the first states to address the issue. KQED \u003ca href=\"https://www.kqed.org/news/12007520/how-artificial-intelligence-is-changing-the-reports-police-write\">first reported\u003c/a> last October on local departments adopting AI tools. The reporting was cited in the legislative analysis of the bill that ultimately became the law.\u003c/p>\n\u003cp>Senate Bill 524, signed into law Oct. 10, requires police officers to disclose when they use AI to write police reports. The tools include Draft One, an AI assistant that transcribes and summarizes body-camera footage to produce a draft report, which officers can then revise and edit.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>Specifically, the law now requires a written disclosure to appear at the bottom of each page of a police report for which Draft One or other similar tools were used. The legislation also requires an “audit trail” that would preserve the original draft as well as identify the source bodycam footage or audio.\u003c/p>\n\u003cp>Police departments in \u003ca href=\"https://www.kqed.org/news/12007520/how-artificial-intelligence-is-changing-the-reports-police-write\">East Palo Alto\u003c/a> and \u003ca href=\"https://www.kvpr.org/government-politics/2024-11-15/ai-is-helping-fresno-police-officers-write-their-reports-could-it-outperform-them\">Fresno\u003c/a> were among the first in the state to adopt the technology.\u003c/p>\n\u003cp>Axon, the company that developed Draft One, told KVPR and KQED last year that its developers built safeguards into their software. For example, officers must fill in prompts within the generated report, then sign off on the report’s accuracy before it can be submitted. The tool also includes a disclaimer that Draft One was used, though police agencies have thus far been able to customize where in a report it’s placed.\u003c/p>\n\u003cfigure id=\"attachment_12006138\" class=\"wp-caption aligncenter\" style=\"max-width: 2000px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-12006138\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/09/240923-AI-IN-POLICING-MD-06-KQED.jpg\" alt=\"The torso of a person dressed in a police uniform holds a hand over a body camera.\" width=\"2000\" height=\"1333\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/09/240923-AI-IN-POLICING-MD-06-KQED.jpg 2000w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/09/240923-AI-IN-POLICING-MD-06-KQED-800x533.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/09/240923-AI-IN-POLICING-MD-06-KQED-1020x680.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/09/240923-AI-IN-POLICING-MD-06-KQED-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/09/240923-AI-IN-POLICING-MD-06-KQED-1536x1024.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/09/240923-AI-IN-POLICING-MD-06-KQED-1920x1280.jpg 1920w\" sizes=\"auto, (max-width: 2000px) 100vw, 2000px\">\u003cfigcaption class=\"wp-caption-text\">An East Palo Alto Police officer’s Axon body camera in East Palo Alto on Sept. 23, 2024. \u003ccite>(Martin do Nascimento/KQED)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>Police departments have said the technology saves officers significant time, and even that some AI-generated reports are better than the ones written entirely by officers. Nevertheless, the bill arose out of concerns that bias or errors generated by AI software could make their way into final incident reports, which play a key role in charging, detaining and sentencing suspects.\u003c/p>\n\u003cp>Kate Chatfield, executive director of the California Public Defenders Association, which sponsored the bill, said she’s grateful the measure became law.\u003c/p>\n\u003cp>“Due process requires transparency,” Chatfield wrote in a public statement. “Everyone in the legal system — judges, juries, attorneys and the accused — deserve to know who wrote the police report.”[aside postID=news_12050772 hero='https://cdn.kqed.org/wp-content/uploads/sites/10/2024/09/240923-AI-IN-POLICING-MD-03-KQED.jpg?ver=1727233046']“With SB 524, California is sending a clear message: Innovation in policing must be tethered to accountability,” state Sen. Jesse Arreguín, who wrote the bill, said in the statement. “No more opaque reports, no more guessing whether AI shaped the narrative.”\u003c/p>\n\u003cp>Kevin Little, a defense attorney in Fresno, said the law is a step in the right direction, but not a true remedy.\u003c/p>\n\u003cp>“My own experience with AI in an unrelated context leads me to conclude that AI platforms have a significant amount of user bias and tend to support the agendas of the user,” he said.\u003c/p>\n\u003cp>Larry Bowlan, a spokesperson for the Fresno Police Department, said the agency had already implemented some of the safeguards now required by the law and does not expect the new rules to be especially burdensome.\u003c/p>\n\u003cp>“Our AI-powered narrative assistant … already generates a disclosure and requires our users to sign acknowledgements. Draft One also already produces the requisite audit trail,” he wrote in an email. “We are actively working with our vendor on the best solution for preserving and storing the first draft provided by the assistant, as well as a minor tweak to ensure the disclosure is present on each printed page, rather than just the first page as it is now.”\u003c/p>\n\u003cp>A spokesperson for the East Palo Alto Department said his agency has no official response to the law at this time.\u003c/p>\n\u003cfigure id=\"attachment_12007615\" class=\"wp-caption aligncenter\" style=\"max-width: 2000px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-12007615\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/10/240923-AI-IN-POLICING-MD-15-KQED-5.jpg\" alt=\"A woman dressed in a police uniform sits at a desk in an office looking at a computer screen.\" width=\"2000\" height=\"1333\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/10/240923-AI-IN-POLICING-MD-15-KQED-5.jpg 2000w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/10/240923-AI-IN-POLICING-MD-15-KQED-5-800x533.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/10/240923-AI-IN-POLICING-MD-15-KQED-5-1020x680.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/10/240923-AI-IN-POLICING-MD-15-KQED-5-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/10/240923-AI-IN-POLICING-MD-15-KQED-5-1536x1024.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/10/240923-AI-IN-POLICING-MD-15-KQED-5-1920x1280.jpg 1920w\" sizes=\"auto, (max-width: 2000px) 100vw, 2000px\">\u003cfigcaption class=\"wp-caption-text\">East Palo Alto Police Officer Wendy Venegas reviews body camera footage and uses Axon’s Draft One AI-based system to draft reports based on the audio from the camera at police headquarters in East Palo Alto on Sept. 23, 2024. \u003ccite>(Martin do Nascimento/KQED)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>Opponents of the bill included the California Police Chiefs Association and the Police Officers Research Association of California, a police union advocacy and lobbying group. The Chiefs Association did not respond to a request for comment. In a statement, PORAC President Brian R. Marvel said the signed version of the law is an improvement over earlier drafts.[aside postID=news_12060365 hero='https://cdn.kqed.org/wp-content/uploads/sites/10/2025/10/SamAltmanGetty.jpg']“In its original form, SB 524 would have put significant administrative burden on already short-staffed police forces and created broad liability by requiring agencies to retain every AI-generated draft, interim, and final version of a report, each labeled with AI disclosure language,” he wrote. “PORAC advocated to amend this bill … We were pleased to see several of these amendments taken, with the final version of the bill significantly narrowed.”\u003c/p>\n\u003cp>Axon representative Victoria Keough said the company is committed to complying with all state and federal laws, including SB 524.\u003c/p>\n\u003cp>“When developing AI for public safety, transparency and accountability are essential,” Keough wrote in a statement. “Responsible innovation remains at the core of how Axon designs and delivers new technology.”\u003c/p>\n\u003cp>The new requirements go into effect on Jan. 1, 2026.\u003c/p>\n\u003cp>\u003ca href=\"https://www.kvpr.org/people/kerry-klein\">\u003cem>Kerry Klein\u003c/em>\u003c/a>\u003cem> is a reporter and editor with KVPR in Fresno. Additional reporting was provided by KQED’s \u003c/em>\u003ca href=\"https://www.kqed.org/author/slewis\">\u003cem>Sukey Lewis\u003c/em>\u003c/a>. \u003cem>The story was produced with support from \u003c/em>\u003ca href=\"https://www.kqed.org/californianewsroom\">\u003cem>The California Newsroom\u003c/em>\u003c/a>\u003cem>, a collaboration of public media outlets throughout the state. \u003c/em>\u003c/p>\n\u003cp>\u003c/p>\n",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003cp>FRESNO, Calif. — Gov. Gavin Newsom this month signed a \u003ca href=\"https://www.kqed.org/news/12007520/how-artificial-intelligence-is-changing-the-reports-police-write\">first-of-its-kind California law\u003c/a> requiring police to disclose how they use generative artificial intelligence, a move aimed at boosting transparency and public trust.\u003c/p>\n\u003cp>California is among the first states to address the issue. KQED \u003ca href=\"https://www.kqed.org/news/12007520/how-artificial-intelligence-is-changing-the-reports-police-write\">first reported\u003c/a> last October on local departments adopting AI tools. The reporting was cited in the legislative analysis of the bill that ultimately became the law.\u003c/p>\n\u003cp>Senate Bill 524, signed into law Oct. 10, requires police officers to disclose when they use AI to write police reports. The tools include Draft One, an AI assistant that transcribes and summarizes body-camera footage to produce a draft report, which officers can then revise and edit.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>Specifically, the law now requires a written disclosure to appear at the bottom of each page of a police report for which Draft One or other similar tools were used. The legislation also requires an “audit trail” that would preserve the original draft as well as identify the source bodycam footage or audio.\u003c/p>\n\u003cp>Police departments in \u003ca href=\"https://www.kqed.org/news/12007520/how-artificial-intelligence-is-changing-the-reports-police-write\">East Palo Alto\u003c/a> and \u003ca href=\"https://www.kvpr.org/government-politics/2024-11-15/ai-is-helping-fresno-police-officers-write-their-reports-could-it-outperform-them\">Fresno\u003c/a> were among the first in the state to adopt the technology.\u003c/p>\n\u003cp>Axon, the company that developed Draft One, told KVPR and KQED last year that its developers built safeguards into their software. For example, officers must fill in prompts within the generated report, then sign off on the report’s accuracy before it can be submitted. The tool also includes a disclaimer that Draft One was used, though police agencies have thus far been able to customize where in a report it’s placed.\u003c/p>\n\u003cfigure id=\"attachment_12006138\" class=\"wp-caption aligncenter\" style=\"max-width: 2000px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-12006138\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/09/240923-AI-IN-POLICING-MD-06-KQED.jpg\" alt=\"The torso of a person dressed in a police uniform holds a hand over a body camera.\" width=\"2000\" height=\"1333\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/09/240923-AI-IN-POLICING-MD-06-KQED.jpg 2000w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/09/240923-AI-IN-POLICING-MD-06-KQED-800x533.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/09/240923-AI-IN-POLICING-MD-06-KQED-1020x680.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/09/240923-AI-IN-POLICING-MD-06-KQED-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/09/240923-AI-IN-POLICING-MD-06-KQED-1536x1024.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/09/240923-AI-IN-POLICING-MD-06-KQED-1920x1280.jpg 1920w\" sizes=\"auto, (max-width: 2000px) 100vw, 2000px\">\u003cfigcaption class=\"wp-caption-text\">An East Palo Alto Police officer’s Axon body camera in East Palo Alto on Sept. 23, 2024. \u003ccite>(Martin do Nascimento/KQED)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>Police departments have said the technology saves officers significant time, and even that some AI-generated reports are better than the ones written entirely by officers. Nevertheless, the bill arose out of concerns that bias or errors generated by AI software could make their way into final incident reports, which play a key role in charging, detaining and sentencing suspects.\u003c/p>\n\u003cp>Kate Chatfield, executive director of the California Public Defenders Association, which sponsored the bill, said she’s grateful the measure became law.\u003c/p>\n\u003cp>“Due process requires transparency,” Chatfield wrote in a public statement. “Everyone in the legal system — judges, juries, attorneys and the accused — deserve to know who wrote the police report.”\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>“With SB 524, California is sending a clear message: Innovation in policing must be tethered to accountability,” state Sen. Jesse Arreguín, who wrote the bill, said in the statement. “No more opaque reports, no more guessing whether AI shaped the narrative.”\u003c/p>\n\u003cp>Kevin Little, a defense attorney in Fresno, said the law is a step in the right direction, but not a true remedy.\u003c/p>\n\u003cp>“My own experience with AI in an unrelated context leads me to conclude that AI platforms have a significant amount of user bias and tend to support the agendas of the user,” he said.\u003c/p>\n\u003cp>Larry Bowlan, a spokesperson for the Fresno Police Department, said the agency had already implemented some of the safeguards now required by the law and does not expect the new rules to be especially burdensome.\u003c/p>\n\u003cp>“Our AI-powered narrative assistant … already generates a disclosure and requires our users to sign acknowledgements. Draft One also already produces the requisite audit trail,” he wrote in an email. “We are actively working with our vendor on the best solution for preserving and storing the first draft provided by the assistant, as well as a minor tweak to ensure the disclosure is present on each printed page, rather than just the first page as it is now.”\u003c/p>\n\u003cp>A spokesperson for the East Palo Alto Department said his agency has no official response to the law at this time.\u003c/p>\n\u003cfigure id=\"attachment_12007615\" class=\"wp-caption aligncenter\" style=\"max-width: 2000px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-12007615\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/10/240923-AI-IN-POLICING-MD-15-KQED-5.jpg\" alt=\"A woman dressed in a police uniform sits at a desk in an office looking at a computer screen.\" width=\"2000\" height=\"1333\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/10/240923-AI-IN-POLICING-MD-15-KQED-5.jpg 2000w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/10/240923-AI-IN-POLICING-MD-15-KQED-5-800x533.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/10/240923-AI-IN-POLICING-MD-15-KQED-5-1020x680.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/10/240923-AI-IN-POLICING-MD-15-KQED-5-160x107.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/10/240923-AI-IN-POLICING-MD-15-KQED-5-1536x1024.jpg 1536w, https://cdn.kqed.org/wp-content/uploads/sites/10/2024/10/240923-AI-IN-POLICING-MD-15-KQED-5-1920x1280.jpg 1920w\" sizes=\"auto, (max-width: 2000px) 100vw, 2000px\">\u003cfigcaption class=\"wp-caption-text\">East Palo Alto Police Officer Wendy Venegas reviews body camera footage and uses Axon’s Draft One AI-based system to draft reports based on the audio from the camera at police headquarters in East Palo Alto on Sept. 23, 2024. \u003ccite>(Martin do Nascimento/KQED)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>Opponents of the bill included the California Police Chiefs Association and the Police Officers Research Association of California, a police union advocacy and lobbying group. The Chiefs Association did not respond to a request for comment. In a statement, PORAC President Brian R. Marvel said the signed version of the law is an improvement over earlier drafts.\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>“In its original form, SB 524 would have put significant administrative burden on already short-staffed police forces and created broad liability by requiring agencies to retain every AI-generated draft, interim, and final version of a report, each labeled with AI disclosure language,” he wrote. “PORAC advocated to amend this bill … We were pleased to see several of these amendments taken, with the final version of the bill significantly narrowed.”\u003c/p>\n\u003cp>Axon representative Victoria Keough said the company is committed to complying with all state and federal laws, including SB 524.\u003c/p>\n\u003cp>“When developing AI for public safety, transparency and accountability are essential,” Keough wrote in a statement. “Responsible innovation remains at the core of how Axon designs and delivers new technology.”\u003c/p>\n\u003cp>The new requirements go into effect on Jan. 1, 2026.\u003c/p>\n\u003cp>\u003ca href=\"https://www.kvpr.org/people/kerry-klein\">\u003cem>Kerry Klein\u003c/em>\u003c/a>\u003cem> is a reporter and editor with KVPR in Fresno. Additional reporting was provided by KQED’s \u003c/em>\u003ca href=\"https://www.kqed.org/author/slewis\">\u003cem>Sukey Lewis\u003c/em>\u003c/a>. \u003cem>The story was produced with support from \u003c/em>\u003ca href=\"https://www.kqed.org/californianewsroom\">\u003cem>The California Newsroom\u003c/em>\u003c/a>\u003cem>, a collaboration of public media outlets throughout the state. \u003c/em>\u003c/p>\n\u003cp>\u003c/p>\n\u003c/div>\u003c/p>",
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"slug": "chatgpt-will-soon-allow-adults-to-generate-erotica-is-this-the-future-we-want",
"title": "ChatGPT Will Soon Allow Adults to Generate Erotica. Is This the Future We Want?",
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"headTitle": "ChatGPT Will Soon Allow Adults to Generate Erotica. Is This the Future We Want? | KQED",
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"content": "\u003cp>OpenAI isn’t the first developer to announce plans to \u003ca href=\"https://www.kqed.org/news/12038154/kids-talking-ai-companion-chatbots-stanford-researchers-say-thats-bad-idea\">offer erotic content on its chatbot\u003c/a>. But the blowback against the tech company’s decision to loosen restrictions this week has been bigger, given the San Francisco-based company’s promise to ensure its AI\u003ca href=\"https://openai.com/our-structure/\"> benefits all of humanity\u003c/a>.\u003c/p>\n\u003cp>The most significant change will roll out in December, when OpenAI will allow more comprehensive age-gating, allowing verified adults to generate erotic content using the tool — “as part of our ‘treat adult users like adults’ principle,” OpenAI CEO Sam \u003ca href=\"https://x.com/sama/status/1978129344598827128\">Altman posted Tuesday\u003c/a> on the social media platform X.\u003c/p>\n\u003cp>Consumer advocates say OpenAI is following the lead of xAI’s Grok, which offers loosely moderated “adult” modes with minimal age verification, raising concerns that teenage users may have access to explicit content. Meta AI is believed to be following xAI’s lead as well, and its back and forth over whether it is intentionally pushing mature content to minors has \u003ca href=\"https://www.reuters.com/world/us/us-senator-hawley-launches-probe-into-meta-ai-policies-2025-08-15/\">prompted\u003c/a> U.S. Sen. Josh Hawley, R-Missouri, to investigate.\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003cp>“We made ChatGPT pretty restrictive to make sure we were being careful with mental health issues. We realize this made it less useful/enjoyable to many users who had no mental health problems, but given the seriousness of the issue, we wanted to get this right,” Altman wrote.\u003c/p>\n\u003cp>The announcement came less than two months after the company was sued by the parents of Adam Raine, a teenager who \u003ca href=\"https://www.kqed.org/news/12054490/child-safety-groups-demand-mental-health-guardrails-after-california-teens-suicide-using-chatgpt\">died by suicide\u003c/a> earlier this year, for ChatGPT allegedly providing him with specific advice on how to kill himself — setting off a firestorm of news coverage and comment.\u003c/p>\n\u003cfigure id=\"attachment_11989313\" class=\"wp-caption aligncenter\" style=\"max-width: 2000px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11989313\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/06/GettyImages-2155035557-scaled-e1760733694503.jpg\" alt=\"\" width=\"2000\" height=\"1334\">\u003cfigcaption class=\"wp-caption-text\">The OpenAI ChatGPT logo. \u003ccite>(Jaap Arriens/NurPhoto via Getty Images)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>Altman delivered \u003ca href=\"https://x.com/sama/status/1978539332215681076\">a follow-up\u003c/a> on Wednesday. “We will still not allow things that cause harm to others, and we will treat users who are having mental health crises very different from users who are not … But we are not the elected moral police of the world. In the same way that society differentiates other appropriate boundaries (R-rated movies, for example), we want to do a similar thing here,” Altman wrote, although it remains unclear whether OpenAI will extend erotica to its AI voice, image and video generation tools.\u003c/p>\n\u003cp>“Comparing content moderation of chatbot interactions with movie ratings is not really useful,” wrote Irina Raicu, director of the Internet Ethics program at the Markkula Center for Applied Ethics at Santa Clara University. “It downplays both the nature and the extent of the problems that we’re seeing when people get more and more dependent on and influenced by chatbot ‘relationships.’”\u003c/p>\n\u003cp>Mark Cuban, the entrepreneur, investor and media personality, argued much the same in a string of \u003ca href=\"https://x.com/mcuban/status/1978317936336028016\">posts on X\u003c/a>.\u003c/p>\n\u003cp>“I don’t see how OpenAI can age-gate successfully enough. I’m also not sure that it can’t psychologically damage young adults. We just don’t know yet how addictive LLMs can be. Which, in my OPINION, means that parents and schools, that would otherwise want to use ChatGPT because of its current ubiquity, will decide not to use it,” Cuban wrote.[aside postID=news_12059714 hero='https://cdn.kqed.org/wp-content/uploads/sites/10/2025/08/GavinNewsomAISF1.jpg']Others see the drive for paying subscribers and increased profit behind the move. As a private company, OpenAI does not release its shareholder reports publicly. However, \u003ca href=\"https://www.bloomberg.com/news/articles/2025-10-02/openai-completes-share-sale-at-record-500-billion-valuation?accessToken=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzb3VyY2UiOiJTdWJzY3JpYmVyR2lmdGVkQXJ0aWNsZSIsImlhdCI6MTc2MDcxODQwMSwiZXhwIjoxNzYxMzIzMjAxLCJhcnRpY2xlSWQiOiJUM0hLMkNHUFdDSEIwMCIsImJjb25uZWN0SWQiOiJBM0VCRjM5ODM4RDc0RDI4QUJDREM4MDZDMDA5RTVBMiJ9.ADGZysjoeNVhUDWXwiuAxieyKueee-676dgJIAM9BvQ\">Bloomberg\u003c/a> recently reported that OpenAI has completed a deal to help employees sell shares in the company at a $500 billion valuation. According to Altman, ChatGPT is already used by \u003ca href=\"https://techcrunch.com/2025/10/06/sam-altman-says-chatgpt-has-hit-800m-weekly-active-users/\">800 million weekly active users\u003c/a>. With so much investment at stake, OpenAI is under pressure to grow its subscriber base. The company has also raised billions of dollars for a historic infrastructure buildout, an investment OpenAI eventually needs to pay back.\u003c/p>\n\u003cp>“It is no secret that sexual content is one of the most popular and lucrative aspects of the internet,” wrote Jennifer King, a privacy and data policy fellow at the Stanford University Institute for Human-Centered Artificial Intelligence. She noted that nearly 20 U.S. states have passed laws \u003ca href=\"https://www.axios.com/2025/01/16/adult-website-age-verification-states\">requiring age verification for online adult content\u003c/a> sites.\u003c/p>\n\u003cp>“By openly embracing business models that allow access to adult content, mainstream providers like OpenAI will face the burden of demonstrating that they have robust methods for excluding children under 18 and potentially adults under the age of 21,” King said.\u003c/p>\n\u003cp>AI chatbots appear to be going the way of social media, said California Assemblymember Rebecca Bauer-Kahan, D-San Ramon, whose bill that would have required child safety guardrails for companion chatbots was \u003ca href=\"https://www.kqed.org/news/12059714/newsom-vetoes-most-watched-childrens-ai-bill-signs-16-others-targeting-tech\">vetoed earlier this week\u003c/a>.\u003c/p>\n\u003cfigure id=\"attachment_11802216\" class=\"wp-caption aligncenter\" style=\"max-width: 1920px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11802216\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut.jpg\" alt=\"Assemblymember Rebecca Bauer-Kahan says local jurisdictions need the power to stop a wildfire disaster before it starts. The assemblymember and other state lawmakers announced a bill to expand enforcement actions against PG&E and other utilities on February, 18, 2020.\" width=\"1920\" height=\"1440\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut.jpg 1920w, https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut-160x120.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut-800x600.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut-1020x765.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut-1832x1374.jpg 1832w, https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut-1376x1032.jpg 1376w, https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut-1044x783.jpg 1044w, https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut-632x474.jpg 632w, https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut-536x402.jpg 536w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\">\u003cfigcaption class=\"wp-caption-text\">Assemblymember Rebecca Bauer-Kahan on Feb. 18, 2020. \u003ccite>(Eli Walsh/Bay City News)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>“My fear is that we are on a path to creating the next, frankly, more addictive, more harmful version of social media for our children,” Bauer-Kahan told KQED. “I do not think that the addictive features in these chatbots that result in our children having relationships with a chatbot instead of their fellow humans is a positive thing, and the experts \u003ca href=\"https://cdt.org/insights/hand-in-hand-schools-embrace-of-ai-connected-to-increased-risks-to-students/\">confirm that\u003c/a>.”\u003c/p>\n\u003cp>OpenAI did not comment for this story, but the company has written that it’s \u003ca href=\"https://openai.com/index/teen-safety-freedom-and-privacy/\">working\u003c/a> on an under-18 version of ChatGPT, which will redirect minors to age-appropriate content. A couple of weeks ago, OpenAI announced it’s rolling out safety features for minors, including an age prediction system and a way for \u003ca href=\"https://openai.com/index/introducing-parental-controls/\">parents\u003c/a> to control their teens’ ChatGPT accounts. This week, OpenAI announced the formation of \u003ca href=\"https://openai.com/index/expert-council-on-well-being-and-ai/\">an expert council \u003c/a>of mental health professionals to advise the company on well-being and AI.\u003c/p>\n\u003cp>In mid-September, the Federal Trade Commission launched an \u003ca href=\"https://www.ftc.gov/news-events/news/press-releases/2025/09/ftc-launches-inquiry-ai-chatbots-acting-companions\">inquiry\u003c/a> into seven AI chatbot developers, including xAI, Meta and OpenAI, “seeking information on how these firms measure, test, and monitor potentially negative impacts of this technology on children and teens.”\u003c/p>\n\u003cp>For the most part, a couple of dozen \u003ca href=\"https://techcrunch.com/2025/09/06/the-growing-debate-over-expanding-age-verification-laws/\">states\u003c/a> and their \u003ca href=\"https://oag.ca.gov/system/files/attachments/press-docs/AI%20Chatbot_FINAL%20%2844%29.pdf\">attorneys general\u003c/a> have taken the lead on regulation, enacting measures like age verification and requiring many online platforms to verify users’ identities before granting access. East Bay Assemblymember Buffy Wicks won the \u003ca href=\"https://a14.asmdc.org/press-releases/20250909-google-meta-among-tech-leaders-and-child-advocates-voicing-support-wicks\">support of major tech\u003c/a> companies for her measure, \u003ca href=\"https://a14.asmdc.org/press-releases/20250602-asm-wicks-bill-protect-kids-online-passes-assembly-bipartisan-support\">AB 1043\u003c/a>, which was just signed into law by Gov. Gavin Newsom.\u003c/p>\n\u003cp>But any parent knows it’s easy for children to sidestep those controls, or reach out to older siblings or friends who can help them, Bauer-Kahan said. She said she sees a coincidence in the fact that the veto of her toughest bill was announced on Monday, and Altman’s announcement was posted on Tuesday.\u003c/p>\n\u003cp>“Here was a bill that was really requiring very clear, safe-by-design AI for children with real liability. And I think that was further than the industry wanted California to go. I just found the timing of the veto and then this announcement about access to erotica too coincidental not to call out,” she said.\u003c/p>\n\u003cp>[ad floatright]\u003c/p>\n",
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"title": "ChatGPT Will Soon Allow Adults to Generate Erotica. Is This the Future We Want? | KQED",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003cp>OpenAI isn’t the first developer to announce plans to \u003ca href=\"https://www.kqed.org/news/12038154/kids-talking-ai-companion-chatbots-stanford-researchers-say-thats-bad-idea\">offer erotic content on its chatbot\u003c/a>. But the blowback against the tech company’s decision to loosen restrictions this week has been bigger, given the San Francisco-based company’s promise to ensure its AI\u003ca href=\"https://openai.com/our-structure/\"> benefits all of humanity\u003c/a>.\u003c/p>\n\u003cp>The most significant change will roll out in December, when OpenAI will allow more comprehensive age-gating, allowing verified adults to generate erotic content using the tool — “as part of our ‘treat adult users like adults’ principle,” OpenAI CEO Sam \u003ca href=\"https://x.com/sama/status/1978129344598827128\">Altman posted Tuesday\u003c/a> on the social media platform X.\u003c/p>\n\u003cp>Consumer advocates say OpenAI is following the lead of xAI’s Grok, which offers loosely moderated “adult” modes with minimal age verification, raising concerns that teenage users may have access to explicit content. Meta AI is believed to be following xAI’s lead as well, and its back and forth over whether it is intentionally pushing mature content to minors has \u003ca href=\"https://www.reuters.com/world/us/us-senator-hawley-launches-probe-into-meta-ai-policies-2025-08-15/\">prompted\u003c/a> U.S. Sen. Josh Hawley, R-Missouri, to investigate.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003cp>“We made ChatGPT pretty restrictive to make sure we were being careful with mental health issues. We realize this made it less useful/enjoyable to many users who had no mental health problems, but given the seriousness of the issue, we wanted to get this right,” Altman wrote.\u003c/p>\n\u003cp>The announcement came less than two months after the company was sued by the parents of Adam Raine, a teenager who \u003ca href=\"https://www.kqed.org/news/12054490/child-safety-groups-demand-mental-health-guardrails-after-california-teens-suicide-using-chatgpt\">died by suicide\u003c/a> earlier this year, for ChatGPT allegedly providing him with specific advice on how to kill himself — setting off a firestorm of news coverage and comment.\u003c/p>\n\u003cfigure id=\"attachment_11989313\" class=\"wp-caption aligncenter\" style=\"max-width: 2000px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11989313\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2024/06/GettyImages-2155035557-scaled-e1760733694503.jpg\" alt=\"\" width=\"2000\" height=\"1334\">\u003cfigcaption class=\"wp-caption-text\">The OpenAI ChatGPT logo. \u003ccite>(Jaap Arriens/NurPhoto via Getty Images)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>Altman delivered \u003ca href=\"https://x.com/sama/status/1978539332215681076\">a follow-up\u003c/a> on Wednesday. “We will still not allow things that cause harm to others, and we will treat users who are having mental health crises very different from users who are not … But we are not the elected moral police of the world. In the same way that society differentiates other appropriate boundaries (R-rated movies, for example), we want to do a similar thing here,” Altman wrote, although it remains unclear whether OpenAI will extend erotica to its AI voice, image and video generation tools.\u003c/p>\n\u003cp>“Comparing content moderation of chatbot interactions with movie ratings is not really useful,” wrote Irina Raicu, director of the Internet Ethics program at the Markkula Center for Applied Ethics at Santa Clara University. “It downplays both the nature and the extent of the problems that we’re seeing when people get more and more dependent on and influenced by chatbot ‘relationships.’”\u003c/p>\n\u003cp>Mark Cuban, the entrepreneur, investor and media personality, argued much the same in a string of \u003ca href=\"https://x.com/mcuban/status/1978317936336028016\">posts on X\u003c/a>.\u003c/p>\n\u003cp>“I don’t see how OpenAI can age-gate successfully enough. I’m also not sure that it can’t psychologically damage young adults. We just don’t know yet how addictive LLMs can be. Which, in my OPINION, means that parents and schools, that would otherwise want to use ChatGPT because of its current ubiquity, will decide not to use it,” Cuban wrote.\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>Others see the drive for paying subscribers and increased profit behind the move. As a private company, OpenAI does not release its shareholder reports publicly. However, \u003ca href=\"https://www.bloomberg.com/news/articles/2025-10-02/openai-completes-share-sale-at-record-500-billion-valuation?accessToken=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzb3VyY2UiOiJTdWJzY3JpYmVyR2lmdGVkQXJ0aWNsZSIsImlhdCI6MTc2MDcxODQwMSwiZXhwIjoxNzYxMzIzMjAxLCJhcnRpY2xlSWQiOiJUM0hLMkNHUFdDSEIwMCIsImJjb25uZWN0SWQiOiJBM0VCRjM5ODM4RDc0RDI4QUJDREM4MDZDMDA5RTVBMiJ9.ADGZysjoeNVhUDWXwiuAxieyKueee-676dgJIAM9BvQ\">Bloomberg\u003c/a> recently reported that OpenAI has completed a deal to help employees sell shares in the company at a $500 billion valuation. According to Altman, ChatGPT is already used by \u003ca href=\"https://techcrunch.com/2025/10/06/sam-altman-says-chatgpt-has-hit-800m-weekly-active-users/\">800 million weekly active users\u003c/a>. With so much investment at stake, OpenAI is under pressure to grow its subscriber base. The company has also raised billions of dollars for a historic infrastructure buildout, an investment OpenAI eventually needs to pay back.\u003c/p>\n\u003cp>“It is no secret that sexual content is one of the most popular and lucrative aspects of the internet,” wrote Jennifer King, a privacy and data policy fellow at the Stanford University Institute for Human-Centered Artificial Intelligence. She noted that nearly 20 U.S. states have passed laws \u003ca href=\"https://www.axios.com/2025/01/16/adult-website-age-verification-states\">requiring age verification for online adult content\u003c/a> sites.\u003c/p>\n\u003cp>“By openly embracing business models that allow access to adult content, mainstream providers like OpenAI will face the burden of demonstrating that they have robust methods for excluding children under 18 and potentially adults under the age of 21,” King said.\u003c/p>\n\u003cp>AI chatbots appear to be going the way of social media, said California Assemblymember Rebecca Bauer-Kahan, D-San Ramon, whose bill that would have required child safety guardrails for companion chatbots was \u003ca href=\"https://www.kqed.org/news/12059714/newsom-vetoes-most-watched-childrens-ai-bill-signs-16-others-targeting-tech\">vetoed earlier this week\u003c/a>.\u003c/p>\n\u003cfigure id=\"attachment_11802216\" class=\"wp-caption aligncenter\" style=\"max-width: 1920px\">\u003cimg loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-11802216\" src=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut.jpg\" alt=\"Assemblymember Rebecca Bauer-Kahan says local jurisdictions need the power to stop a wildfire disaster before it starts. The assemblymember and other state lawmakers announced a bill to expand enforcement actions against PG&E and other utilities on February, 18, 2020.\" width=\"1920\" height=\"1440\" srcset=\"https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut.jpg 1920w, https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut-160x120.jpg 160w, https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut-800x600.jpg 800w, https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut-1020x765.jpg 1020w, https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut-1832x1374.jpg 1832w, https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut-1376x1032.jpg 1376w, https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut-1044x783.jpg 1044w, https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut-632x474.jpg 632w, https://cdn.kqed.org/wp-content/uploads/sites/10/2020/02/RS41373_IMG_0396-qut-536x402.jpg 536w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\">\u003cfigcaption class=\"wp-caption-text\">Assemblymember Rebecca Bauer-Kahan on Feb. 18, 2020. \u003ccite>(Eli Walsh/Bay City News)\u003c/cite>\u003c/figcaption>\u003c/figure>\n\u003cp>“My fear is that we are on a path to creating the next, frankly, more addictive, more harmful version of social media for our children,” Bauer-Kahan told KQED. “I do not think that the addictive features in these chatbots that result in our children having relationships with a chatbot instead of their fellow humans is a positive thing, and the experts \u003ca href=\"https://cdt.org/insights/hand-in-hand-schools-embrace-of-ai-connected-to-increased-risks-to-students/\">confirm that\u003c/a>.”\u003c/p>\n\u003cp>OpenAI did not comment for this story, but the company has written that it’s \u003ca href=\"https://openai.com/index/teen-safety-freedom-and-privacy/\">working\u003c/a> on an under-18 version of ChatGPT, which will redirect minors to age-appropriate content. A couple of weeks ago, OpenAI announced it’s rolling out safety features for minors, including an age prediction system and a way for \u003ca href=\"https://openai.com/index/introducing-parental-controls/\">parents\u003c/a> to control their teens’ ChatGPT accounts. This week, OpenAI announced the formation of \u003ca href=\"https://openai.com/index/expert-council-on-well-being-and-ai/\">an expert council \u003c/a>of mental health professionals to advise the company on well-being and AI.\u003c/p>\n\u003cp>In mid-September, the Federal Trade Commission launched an \u003ca href=\"https://www.ftc.gov/news-events/news/press-releases/2025/09/ftc-launches-inquiry-ai-chatbots-acting-companions\">inquiry\u003c/a> into seven AI chatbot developers, including xAI, Meta and OpenAI, “seeking information on how these firms measure, test, and monitor potentially negative impacts of this technology on children and teens.”\u003c/p>\n\u003cp>For the most part, a couple of dozen \u003ca href=\"https://techcrunch.com/2025/09/06/the-growing-debate-over-expanding-age-verification-laws/\">states\u003c/a> and their \u003ca href=\"https://oag.ca.gov/system/files/attachments/press-docs/AI%20Chatbot_FINAL%20%2844%29.pdf\">attorneys general\u003c/a> have taken the lead on regulation, enacting measures like age verification and requiring many online platforms to verify users’ identities before granting access. East Bay Assemblymember Buffy Wicks won the \u003ca href=\"https://a14.asmdc.org/press-releases/20250909-google-meta-among-tech-leaders-and-child-advocates-voicing-support-wicks\">support of major tech\u003c/a> companies for her measure, \u003ca href=\"https://a14.asmdc.org/press-releases/20250602-asm-wicks-bill-protect-kids-online-passes-assembly-bipartisan-support\">AB 1043\u003c/a>, which was just signed into law by Gov. Gavin Newsom.\u003c/p>\n\u003cp>But any parent knows it’s easy for children to sidestep those controls, or reach out to older siblings or friends who can help them, Bauer-Kahan said. She said she sees a coincidence in the fact that the veto of her toughest bill was announced on Monday, and Altman’s announcement was posted on Tuesday.\u003c/p>\n\u003cp>“Here was a bill that was really requiring very clear, safe-by-design AI for children with real liability. And I think that was further than the industry wanted California to go. I just found the timing of the veto and then this announcement about access to erotica too coincidental not to call out,” she said.\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"slug": "beyond-the-ai-hype-machine",
"title": "Beyond the AI Hype Machine",
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"headTitle": "Beyond the AI Hype Machine | KQED",
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"content": "\u003cp>\u003ca href=\"#episode-transcript\">\u003ci>View the full episode transcript.\u003c/i>\u003c/a>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">When ChatGPT launched in 2022, it kicked off what some have called the “AI hype machine” — a frenzy of promotion and investment that has sent some tech companies’ valuations soaring to record heights. Meanwhile, computational linguist Emily M. Bender and AI researcher and sociologist Alex Hanna have proudly worn the titles of “AI hype busters,” critiquing the industry’s loftiest claims and pointing out the real-world harms behind this wave of excitement. What began as a satirical podcast is now a book, \u003c/span>\u003ca href=\"https://thecon.ai/\">\u003ci>\u003cspan style=\"font-weight: 400\">The AI Con\u003c/span>\u003c/i>\u003c/a>\u003cspan style=\"font-weight: 400\">:\u003c/span>\u003ci>\u003cspan style=\"font-weight: 400\"> How to Fight Big Tech’s Hype and Create the Future We Want\u003c/span>\u003c/i>\u003cspan style=\"font-weight: 400\">. In this episode, Alex and Emily explain why the very term “AI” is misleading, how AI boosters and doomers are really flip sides of the same coin, and why we should question the AI inevitability narrative. \u003c/span>\u003c/p>\n\u003cp>\u003c!-- iframe plugin v.4.3 wordpress.org/plugins/iframe/ -->\u003cbr>\n\u003ciframe loading=\"lazy\" frameborder=\"0\" height=\"200\" scrolling=\"no\" src=\"https://playlist.megaphone.fm/?e=KQINC5696998106\" width=\"100%\" class=\"iframe-class\">\u003c/iframe>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Guests: \u003c/span>\u003c/p>\n\u003cul>\n\u003cli>\u003ca href=\"https://bsky.app/profile/emilymbender.bsky.social\">\u003cspan style=\"font-weight: 400\">Emily Bender\u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\">, professor of linguistics the University of Washington\u003c/span>\u003c/li>\n\u003cli>\u003ca href=\"https://bsky.app/profile/alexhanna.bsky.social\">Alex Hanna\u003c/a>, director of research at the Distributed AI Research Institute\u003c/li>\n\u003c/ul>\n\u003cp>\u003cspan style=\"font-weight: 400\">Further reading/listening: \u003c/span>\u003c/p>\n\u003cul>\n\u003cli>\u003ca href=\"https://thecon.ai/\">\u003cspan style=\"font-weight: 400\">The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want\u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\"> — Emily Bender and Alex Hanna\u003c/span>\u003c/li>\n\u003cli>\u003ca href=\"https://www.dair-institute.org/maiht3k/\">\u003cspan style=\"font-weight: 400\">The Mystery AI Hype Theater 3000 Podcast\u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\"> — Emily M. Bender and Alex Hanna\u003c/span>\u003c/li>\n\u003cli>\u003ca href=\"https://www.techpolicy.press/ai-hurts-consumers-and-workers-and-isnt-intelligent/\">\u003cspan style=\"font-weight: 400\">“AI” Hurts Consumers and Workers — and Isn’t Intelligent\u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\"> — Emily Bender and Alex Hanna, \u003c/span>\u003ci>\u003cspan style=\"font-weight: 400\">Tech Policy Press\u003c/span>\u003c/i>\u003c/li>\n\u003cli>\u003ci>\u003c/i>\u003ca href=\"https://lithub.com/on-the-very-real-dangers-of-the-artificial-intelligence-hype-machine/\">\u003cspan style=\"font-weight: 400\">On the Very Real Dangers of the Artificial Intelligence Hype Machine: Emily M. Bender and Alex Hanna Explore AI History, the Cold War, and a Fatally Overhyped Idea \u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\">— Emily M. Bender, \u003c/span>\u003ci>\u003cspan style=\"font-weight: 400\">LitHub\u003c/span>\u003c/i>\u003c/li>\n\u003cli>\u003ci>\u003c/i>\u003ca href=\"https://www.404media.co/sora-2-content-violation-guardrails-error/\">\u003cspan style=\"font-weight: 400\">People Are Crashing Out Over Sora 2’s New Guardrails\u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\"> — Samantha Cole, \u003c/span>\u003ci>\u003cspan style=\"font-weight: 400\">404 Media\u003c/span>\u003c/i>\u003c/li>\n\u003cli>\u003ci>\u003c/i>\u003ca href=\"https://futurism.com/artificial-intelligence/sora-2-financial-problem\">\u003cspan style=\"font-weight: 400\">Sora 2 Has a Huge Financial Problem\u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\"> — Victor Tangermann, \u003c/span>\u003ci>\u003cspan style=\"font-weight: 400\">Futurism\u003c/span>\u003c/i>\u003c/li>\n\u003cli>\u003ci>\u003c/i>\u003ca href=\"https://www.technologyreview.com/2025/05/20/1116327/ai-energy-usage-climate-footprint-big-tech/\">\u003cspan style=\"font-weight: 400\">We did the math on AI’s energy footprint. Here’s the story you haven’t heard.\u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\"> — James O’Donnell and Casey Crownhart, \u003c/span>\u003ci>\u003cspan style=\"font-weight: 400\">MIT Technology Review\u003c/span>\u003c/i>\u003c/li>\n\u003c/ul>\n\u003cp>Want to give us feedback on the show? Shoot us an email at \u003ca href=\"mailto:CloseAllTabs@KQED.org\">CloseAllTabs@KQED.org\u003c/a>\u003c/p>\n\u003cp>\u003ca href=\"https://www.instagram.com/closealltabspod/\">Follow us on Instagram\u003c/a>\u003c/p>\n\u003cp>[ad fullwidth]\u003c/p>\n\u003ch2>\u003c/h2>\n\u003ch2 id=\"episode-transcript\">Episode Transcript\u003c/h2>\n\u003cp>\u003ci>\u003cspan style=\"font-weight: 400\">This is a computer-generated transcript. While our team has reviewed it, there may be errors.\u003c/span>\u003c/i>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">A few weeks ago, OpenAI launched an app, Sora. It’s a vertical video social platform, similar to TikTok, except all the videos are generated by the company’s AI image generator, Sora 2. Within days, the app was a copyright infringement nightmare. There were videos of SpongeBob cooking meth, unsanctioned Rick and Morty ads for crypto startups, and many, many videos of open AI CEO Sam Altman doing depraved things to copyrighted characters. Like the one where he brutally barbecues and carves up Pikachu. \u003c/span>\u003c/p>\n\u003cp>\u003ci>\u003cspan style=\"font-weight: 400\">[AI CEO Sam Altman] Pikachu on the grill here. It’s already got a beautiful char and it smells like somebody plugged in a chicken. Let’s give it a flip. I’m gonna carve it into some thick steaks. Look at that. Crust on the outside, pink and juicy in the middle. Cheers.\u003c/span>\u003c/i>\u003cspan style=\"font-weight: 400\"> \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">All of these 10 second videos require an immense amount of computing power, which is extremely costly to maintain. In a blog post, Sam Altman admitted that the company still needs to figure out how to make money off of Sora. He wrote, “People are generating much more than we expected per user, and a lot of videos are being generated for very small audiences.” Facing heat from copyright holders like Disney and Nintendo, Altman also announced extra guardrails for the app to curb infringement. Now, users are complaining that everything they try to generate using Sora 2 gets flagged as a violation of the copyrighted content policy. They’re already getting bored of the app. This whole cycle has been described as the AI hype machine. Big investments are made based on big promises of innovation, disruption, revolution. This hype fuels more investment, which, in turn, fuels the hype. The cycle continues when a new product launches. Meta, for example, launched its own AI social video app, called Vibes, last month too, which was quickly forgotten about when Sora launched. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">AI hype is effectively premised on fear of missing out. It is the fear that if you don’t get onto this new technology, you are going to be left behind. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">That’s Alex Hanna, a sociologist and the Director of Research at the Distributed AI Research Institute. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">If you’re a corporate manager, you’re going to have your competitors just leave you in the dust. If you are a teacher, you are doing a disservice to your students by not preparing them for the job market of the future. If you were a student, you were going to miss out on all the skills and all your classmates are going to be outperforming you. And as a worker, you will be doing things the old way, the analog way, and everyone is going to be outpacing you. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Alex and her co-author, Emily M. Bender, recently published a book, The AI Con, How to Fight Big Tech’s Hype and Create the Future We Want. Emily runs the computational linguistics program at the University of Washington. This is a field of study that combines human language with machine learning. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">I often get asked the question, well aren’t you worried that students are going to get left behind? Etc. And my answer to that is often, where is everybody going? Like, this metaphor of left behind suggests that people are running off into some brilliant future. I just don’t see it, you know, setting aside the fact that the technology doesn’t do what it’s being sold to do, but that is overhyped and over promised. The idea that we’d be better off with instead of interacting with people at all stages, interacting with screens that that’s just not the future that I want. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">In this episode, we’re talking about the AI hype machine, when it started, how it’s fed, and why a growing corner of critics say they see right through it. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">This is Close All Tabs. I’m Morgan Sung, tech journalist and your chronically online friend, here to open as many browser tabs as it takes to help you understand how the digital world affects our real lives. Let’s get into it. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">All right, like we always do, we’re starting by opening a new tab. What is P-Doom? In their book, The AI Con, Alex and Emily talk about these two groups. There are the AI boosters, the people who are optimistic that AI will pave the way to our utopian future. Then there are the AI doomers: the people that catastrophize, and believe that AI progress will usher in an era of societal collapse and human extinction. It’s very Matrix. \u003c/span>\u003c/p>\n\u003cp>\u003ci>\u003cspan style=\"font-weight: 400\">[Clip from the film “The Matrix] The Matrix is a system, Neo. That system is our enemy. \u003c/span>\u003c/i>\u003c/p>\n\u003cp>\u003cb>Morgan Sung \u003c/b>\u003cspan style=\"font-weight: 400\">But before we break this down further, let’s start by defining our terms. Here’s Emily. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">Artificial intelligence does not refer to a coherent set of technologies, and it has throughout its history, since it was coined by John McCarthy in 1955, basically been used to sell this idea of some magic do-everything technology in order to get money. Initially, it was research funding and then DOD money and now a lot of it is venture capital money. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">Yeah, and the way that this has proliferated in the modern day is that so many things get called AI. So that could be automated decision-making systems used for determining whether someone gets social services. And so that gets looped in, and then we also get recommendation systems, things like the TikTok algorithm, the Instagram Reels algorithm, pick your short-form video. But then, it’s really manifest in these large language models and diffusion models that are looped into the category of generative AI.\u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">You start this book from this one moment in 2023, when Chuck Schumer at the time, the Senate majority leader, held a series of forums around AI. Can you take us back to that moment and like set the scene for us? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">So, late 2023, Chuck Schumer is convening the eighth of total nine Senate Insight forums around AI, and he asks folks, this is very weird, he asks, “what is folks’ probability of doom?” And this is abbreviated as P(doom), and for this instance, it’s an audio platform, that is P, open parentheses, doom, closed parentheses. And he also asked, “what people’s pee hope is.” So this means what is your probability that there’s going to be some kind of a doom scenario, in which through, you know, hook or crook, some kind of thing called AI is going to outperform or outsmart humans and take over and lead to human extinction. And in the book, we start and we say, well, this is the wrong question. But also if you’re looking at harms that are happening in the here and now, there are many that exist, whether that be deep fake porn being made out of non-consensual adults and children, the use of automated decision-making and weapons targeting, especially in Gaza, and then we also talk about students having their exams effectively being judged by these automated tools. So talking about P(doom) in this register is asking the wrong question and focusing on the wrong things. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">But oftentimes it looks like the doomers, the people with a high P(doom) value, the people who take that question seriously in the first place, um, and the boosters, the people who say this is gonna solve all our problems, are like the opposite ends of a spectrum. And that is how these people present themselves, it is how the media often presents what’s going on, and it is very misleading. I think that one of the points that we make is that doomerism is another kind of AI hype, because it’s saying, our system is very powerful. It’s so powerful, it’s going to kill us all, is a way of saying it’s very powerful, but also we make the point that the doomers and the boosters are two sides of the same coin. And it, I think, becomes very clear if you look at it this way, which is to say, the doomers say, “AI is a thing, it’s imminent, it’s inevitable, and it’s gonna kill us all.” And the boosters say, “AI’s a thing, it’s imminent, it’s inevitable, and it is gonna solve all of our problems.” And it’s pretty easy to see these are the same position with just a different twist at the end. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">And the funny thing about this boosterism, doomerism dichotomy is that these are many of the same people or they run in many of same circles. So, you know, there was this document that was put out called AI 2027, in which it ends with humanity dying and the kind of choose your own adventure. There’s only two endings here. The choose your own adventure and one of them, you know everyone dies. But the lead author of this works at OpenAI. And there’s many such cases of people who are working on quote unquote, “AI alignment”, who are in these industries. So, it’s again not as if they’re against the building of AI, or we should just say no, it’s actually a very narrow segment of people. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">You described this industry as the AI hype machine, the modern AI hype machine, what does it look like? I mean, who are the players? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">Yeah, I mean, the players are many of the big tech players that we know. So Microsoft, Google, Amazon, Meta, but with some new entrants, OpenAI being the most significant one. Um, and along with OpenAI, a few offshoots, so Anthropic is kind of the most notable one. And then the company that’s creating the shovels for the gold rush, so that’s your Nvidia, and then your Taiwanese semiconductor manufacturing company, abbreviated as TSMC. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">I want to say that we see AI hype not just originating from those big players, like that is a large source of it. Also we hear over and over and again about people working in various businesses being told by their higher ups that they have to try this new AI thing. And so there’s this sort of secondary promulgation of hype that comes from middle management and up that have been sold on the idea that this is going to, you know, really increase productivity. And, you know, on the one hand, it’s a very useful excuse for doing layoffs that they may have otherwise already wanted to do, but then on the other hand, some people seem to have really bought into the idea. So they tell the people working for them, you have to spend time figuring out how to make yourself more productive by using these so-called AI tools, because everyone’s telling me that that’s the way of the future. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">I mean, the obvious way people are, these players, are feeding into the AI hype machine is by extolling the virtues of AI, or, you know, kind of spreading this very doomerous sci-fi rhetoric. But what other strategies are being used to feed this machine? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">So one important strategy is what I sometimes call citations to the future. So people will say, yeah, yeah. It’s got problems now, but it’s going to do all of these things. And I think it really is the only technology that we are expected to evaluate based on promises of what it will be doing, right? That car that I just bought only gets, you know, 35 miles to the gallon. But that’s OK, because the later one’s going to get 50. We don’t talk about it that way, except with the so-called AI technology.\u003c/span>\u003c/p>\n\u003cp>So, citations to the future is one big strategy and another one is anthropomorphizing language, talking about things that have happened as if the computer systems themselves did it of their own volition and autonomously instead of people having used the system to do it or done something in order to build the system. So it’ll be something like, AI needs lots and lots of data. Well, no, people who want to build the system that they’re calling AI are amassing lots and lots of data in order to build them, or AI is thirsty, it needs lots of water, or AI was able to identify, you know, something in a blurry image. It’s like — in no sense, right? \u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">People used XYZ tool in order do a thing, or in order to build these tools, they are using lots of of water and so on. So this anthropomorphizing language sort of shifts the people out of the frame and hides a bunch of accountability, and at the same time, makes the systems sound cooler than they are. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Alex and Emily also pointed out that players in the AI industry push this adoption of AI into our everyday lives by really trying to humanize the product. We’re gonna dive into that in a new tab. First, a quick break. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Time for a new tab! Are we really just meat machines?\u003cbr>\n\u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Let’s talk about the technology itself, like the way people talk about large language models as AI, um, ChatGPT, Claude, Grok. Many people understand that these models are basically predicting the words that most often go together. But can you break it down further? Like, what’s really going on under the hood there? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">So, the first very important lesson is that when we say word, we’re actually talking about two things. We’re talking about the way the word is spelled and pronounced and what it is used to mean. And one thing that makes that hard to keep in mind is that as proficient speakers of the languages we speak, pretty much anytime we encounter the spelling or sound of a word, we are also encountering what the person using it is using it to talk about. And so we always experience the form and meaning together. But a language model, so that the core component of something like Gemini or Grok or Claude or ChatGPT is literally a system for modeling which bits of words go with which other bits of words in whatever the input collection of text was to create that model. And so what we have are models that are very good at putting literally like spellings of parts of words next to each other in a way that looks like something somebody might say. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Emily and Alex have come up with a few phrases that illustrate what large language models really are, which also describe the limitations of this tech. We’ve got synthetic text extruding machine. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">The choice of the word extrude is very intentional because it’s a little gross. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Racist pile of linear algebra. Spicy autocomplete. And one phrase that really took off, stochastic parrot. Emily coined the phrase in a research paper she co-authored in 2020. Parrots can mimic human speech, but whether they can really comprehend it, that’s dubious. Stochastic comes from probability theory. It means randomly determined. So a stochastic parrot essentially mimics language in a random order and does so convincingly, but it doesn’t understand it. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">Starting with OpenAI’s GPT-2 and GPT3, they were using it to create synthetic text. And so one of the things we worried about in that paper is what happens if someone comes across synthetic text and doesn’t know that it was synthetic? What we didn’t realize at the time is that people would be happy to look at synthetic text while knowing that it’s synthetic. That is very surprising to me. And so the phrase stochastic parrots was this attempt to make vivid what’s going on, to help people understand why the output of a language model run to repeatedly answer the question, what’s a likely next word, is not the same thing as text produced by a person or group of people with something to communicate. And what’s happened, it’s been fascinating as a linguist to watch that phrase go out into the world, so for the first little while, it was people referring to the paper, and then it sort of became people talking about, um, that claim that large language models are not understanding, they’re just repeatedly predicting a likely next word. And then it got picked up or interpreted as an insult, which is surprising to me because in order for it to be an insult, the thing that it’s being applied to would have to the kind of thing that could be insulted. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Then in 2022, Sam Altman tweeted, I am a stochastic parrot and so are you. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">I think what happens when Sam Altman picks it up and tweets that is that it is, on the one hand, sort of an attempt to reclaim what is understood as an insult or slur by people in that mindset, but also, and very importantly, it is about minimizing what it is to be human, so that he can claim that the system that he’s built is as good as a person.\u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Emily and Alex say this concept of comparing humans to, essentially, flesh machines is a classic move in the AI hype machine playbook. It’s reducing humanity and what it means to be human to programming, like Eliza in the 60s. Eliza was an early natural language processing program designed to mimic a therapist. Think of it as a great, great, great, grand chatbot of ChatGPT. A lot of people, from academics to government leaders to tech industry giants, bought into the Eliza hype. And that freaked out Eliza’s own creator, Joseph Weizenbaum. In a book he published in the 70s, Weizenbaum warned that machines would never be able to make the same decisions that humans make because they don’t have human empathy. His criticism of AI caused a stir in the research community. And decades later, AI boosters are still making that same claim. That humans and machines aren’t that different. But what does this devaluing of humanity really mean for us? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">Yeah, I mean, it means a lot of things. It really seems to emphasize that there is, kind of, aspects of human behavior that can just be reduced to our observable outputs, right? Humans are just things that output language or output actions, when that’s not true. Humans have a much more vivid internal life. Um, we think about others. Uh, we think about, kind of, co-presence, but it’s more about saying how we’re comparing ourselves to machines that are programmed by people and those people in those institutions have particular types of incentives to make machines that behave as such. So that’s the kind of implications that it has and it also has the implications of other kinds of moves into humanism, dehumanization and what that does and how we treat people and with regards to dignity and propriety of rights. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Can you also give concrete examples of where we see this kind of, uh, devaluing of humans? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">So I think if we say that humans can be reduced to their outputs, that that leads to lots of problems. And one is we end up saying, you know, the form of, or the words that teachers and students say in the classroom is the learning situation. And so we can replace the teacher with a system for outputting words and then those students will get as much and maybe it’ll be personalized and it’ll better. And that is dehumanizing to teachers clearly and also to students because it removes, you know, everything that is about the student and teacher’s internal life and about their relationship and about their community from the situation. But I think it’s also really important in terms of the workforce more generally, that basically if we say, well, humans like large language models are systems for outputting words, then it’s a very small step to basically saying the whole value of this person is how many words they can output and doing a very, very dehumanizing work environment to people. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">We also see this in other domains like the Amazon work floor and the ways that these mini robots flit from place to place and the so-called quote unquote pickers. People on Amazon work warehouses have to pick things and then deliver them. So there’s a lot of implications for that and I think also in seeing the humanity in other folks and how we treat other folks. You know, if they’re merely meat machines, then what does it say about how we view them with respect to, kind of, personal rights and human rights and what kind of rights they should be afforded? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">This idea of human beings just being walking meat machines is chilling. It definitely creeped me out. What are the other real world consequences of this thinking? Let’s open a new tab. Who’s really harmed by AI hype? Alex and Emily have said that their goal with writing the AI con is to reduce the harm caused by AI hype. Automation, for example, doesn’t just replace jobs. Healthcare providers are increasingly relying on AI products for medical triage to decide which patients to see first. Free legal representation, a guaranteed right in criminal cases, can be replaced by a lawyer using a chat bot. All of this potentially lowers the quality of these services. And introduces bias into these systems. Artists and other creatives, meanwhile, are struggling to make ends meet as AI generators, sometimes trained on their own work, are used as a cheaper, faster alternative. And then there’s how large language models are disrupting our whole information ecosystem. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">There’s a metaphor we use in the book, the idea that information is being output from these models and results in information ecosystem spills, like toxic spills that really can’t be cleaned up. There’s not really a reliable way to detect synthetic text. And so you’re having to deal with and navigate and try to understand whether something on the internet is actually reflective of truth claims that are being made and perhaps researched more deeply by human individuals. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">You’ve written that the strongest critiques against AI boosterism come from black, brown, poor, queer, and disabled scholars and activists. Can you talk about some examples of these critiques and why these groups specifically are so uniquely positioned to make them? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">So we wrote about that in the register of thinking about the ways in which systems, in here, I want to say data-driven systems, not just large language models, but even different systems just don’t work for black, brown communities, queer, and trans people, and then people like refugees and people on the move. The kind of pioneering work of Drs. Temnit Gebru and Joy Buolamwini in their paper Gender Shades talks about facial analysis systems, specifically the way that facial analysis systems do very poorly on darker-skinned women and that there’s a huge delta between darker-skinned women and lighter-skinned men. Sasha Costanza-Chock talks about how tools like TSA scanners do very poorly on trans people. Typically flagging genitals as anomalies or chest areas as anomalities, and then the kind of disparities of how systems talk about women. So there’s been a few papers talking about the ways in which different tools, in this case a word embedding space, makes associations between people and occupation. So, man is to doctor, women is to… typically, the completion is nurse, so it makes presuppositions of this. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">All of this stuff effectively happens in large-language models [laughter] and happens in image generation models as well. There’s some great research by the Bloomberg data team that shows that if you input something like a nurse, uh, typically or a housekeeper, it outputs a kind of a phenotypically looking darker-skinned woman. If you type in CEO, white man. And so those kinds of elements are the bias element of it. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">Ruha Benjamin sums it up really nicely in this beautiful essay called The New Artificial Intelligentsia that appeared in the LA Review of Books in 2024. And she’s talking about these ideas of transhumanism and merging with the machines. She says this zealous desire to transcend humanity ignores the fact that we have not all had the chance to be fully human. My interpretation of what she’s saying is that the people that society does not accord full humanity to have a very different experience of technology, both in the ways, as Alex is saying, it’s being used on them, in the ways that doesn’t work well for them and just in the way that it intrudes on their life. And so people who have the privilege of not experiencing any of that tend to be less sensitized to what’s going on and to have a less informed perspective. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">And this less-informed perspective encourages AI boosters, who continue to fuel the hype machine. This means investing in and launching new products at a breakneck pace, often overlooking the real-world impact. The MIT Technology Review recently reported that generating one 5-second AI video uses about 3.4 million joules, the equivalent of running a microwave for over an hour. At scale this amount of energy consumption is devastating for the environment. And running all of this comes at a steep price for AI companies, too. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Like we talked about earlier, OpenAI’s Sora app is proving to be wildly expensive, with more users generating videos than actually watching them. And after the copyright fiasco and subsequent new guardrails, it seems like some initial adopters are already moving on. Can the hype machine sustain this kind of frenzied investment with such limited return? \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Okay, we’re opening one last tab. Is the height machine breaking? \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Do you think the AI hype bubble is going to burst? I mean, like, are there economic critiques? You’ve heard the social ones, but is there anything pointing to the AI height bubble possibly at least deflating? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">Yeah, well, the problem is that there’s so much capital expenditure going into building things like data centers, and they’re going into these massive data center build out where, you know, the kind of projections and how much OpenAI, Microsoft, Google, Amazon, and Meta are spending on this all is astronomical. I mean, hundreds of billions of dollars, just some of the largest technological infrastructure projects that we’ve ever seen. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">At the same time, OpenAI again, the company that has the most queries to Chat GPT, people using most of its products, is making revenue on the order of maybe $10 billion a year. So it’s just orders of magnitude less. And the kind of metaphor that’s being used as well, we have to build the railroads first, and then once the rail roads get going, we can put rail cars in them. But that metaphor doesn’t work at all. People are already using the product. And, you know, companies are already saying, we’re not getting a lot of value out of this. You know, there was an, something that was coming out of MIT, which said 95% of companies just haven’t really gained value from quote unquote AI. So what’s happening? This is very bubble shaped, you now, and I don’t know how the story ends, but it’s very alarming that these four to seven companies are propping up the US and world economy right now, so what happens when the bubble deflates or bursts, it’s not going to be good. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Like you said, um, you finished this book in September 2024. The AI industry has only grown since then. What have you learned about the state of the AI hype machine from the reception to your book? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">I would say what I’ve learned the most about is about the resilience of people and the importance of connection and community. So the antidote to the hype is a variety of things, one is ridicule as praxis, as we say in the book, and also solidarity and labor movements, but also just sort of connection. And one form of that connection is that there’s a lot of people who are, who feel isolated in a workplace or a social circle where everyone around them seems just completely gaga for this technology and they’re the odd one out. And so one of the joys of both our podcasts and this book has been to find those people and be found by those people who say, oh, so glad I’m not the only one. And then they can form community with other people who have the same reaction and I think that that is super important. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">One of the things we grapple a lot just like within Close All Tabs is where to draw the line with AI use, you know. And again, that’s complicated. What is AI? For example, we don’t use ChatGPT, but we use an AI transcription tool for our interviews. Are there conditions under which using large language models, AI tools, are reasonable or justified, appropriate? And then what’s your message to the average listener who maybe uses ChatGPT in their daily but they’re not necessarily AI boosters and not necessarily AI doomers. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">Yeah. Um, so to the first question, I would say I never call it an AI transcription tool. I would say automatic transcription, right? And that is a use case where, you know, you want to look at the labor conditions of the people who produced it, where the training data come from. And it’s also a use case where you are well positioned to check the output and see if it’s working well for you, right. You’ve got something that has been recorded, you’ve got an automatically produced transcript, you’re presumably going through and correcting it. And if it is wrong all the time, or if you have one that is particularly bad for non-Anglo names, for example, you might start looking for something that’s better. So that is a case of automation that I think can be okay. You still want to look into who produced it. Are there privacy implications? Can I use this tool without uploading my data to somebody else and so on? But there’s reasonable uses and reasonable ways to produce automatic transcription. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">If we’re talking about chat bots of the form of ChatGPT, I don’t see reasonable use cases there. And partially we know that the labor and environmental costs are extraordinarily high, that this is not produced ethically. But even setting that aside, every time you turn to ChatGPT for information, you’re cutting yourself off from important sense-making. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">One of the examples I like to use, if you think about an old fashioned search engine that gave you back, you know, the 10 blue links and you’ve got a medical query, what might come back in those links is a link to, you know something like the Mayo Clinic and then your regional university medical center, so in the Bay area, you know UCSF. And you might get a link to Dr. Oz’s page and you might get a link to a discussion forum where people with the same medical questions are talking to each other. And you can then look at those and understand the information that’s there based on what you know about the Mayo Clinic and UCSF and Dr. Oz and discussion forums. But that also helps you continue to update what you know, about those kinds of sites. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Whereas if you asked a chatbot and you got back something that was just sort of some paper mache made up out of some combination of what’s in those sites, you not only don’t know how to contextualize what you’ve seen, but you’re also cut off from ability to continue to understand the information environment. And then very importantly, if you think about that discussion forum, any given, you know, sentence from that discussion forum interpreted as information, you’re going to want to take with a big grain of salt. But the chance to connect with people who are going through the same medical journey is priceless. And there’s a, the scholar Chris Gilliard describes these technologies as technologies of isolation. And I think it’s really important to think about anytime you might turn to a chat bot- what would you have done three years ago? What would you have done when ChatGPT was not in your world and what are you missing out on by not doing that now? The connections that you would make with people, the ongoing maintenance of relationships, the building of community, the deeper sense of what’s going on in the world around you, all of these are precious and I think not to be thrown away for the semblance of convenience. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">And then I think the final thing that I would say is look out for, identify, and reject the inevitability narrative. So the tech companies would like us to believe that AI is the future, it’s definitely coming. Even if you don’t like it, you have to resign yourself to it. And you’ll get people saying, well, it’s here to stay, we have to learn what to live with it. And I refuse that. I say that is also a bid to steal our agency because the future is not written. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Those are all my questions. Thank you so much for joining us.\u003cbr>\n\u003c/span>\u003cb>\u003c/b>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">Yeah, thank you. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">It was a pleasure. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Let’s close all of these tabs. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Close All Tabs is a production of KQED studios and is reported and hosted by me, Morgan Sung. This episode was produced by Chris Egusa and edited by Jen Chien. Close All tabs producer is Maya Cueva. Chris Egusa is our senior editor. Additional editing by Chris Hambrick and Jen Chien, who’s KQED’s director of podcasts. Original music, including our theme song and credits by Chris Egusa. Additional music by APM. Brendan Willard is our audio engineer. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Audience engagement support from Maha Sanad. Katie Sprenger is our podcast operations manager and Ethan Toven-Lindsey is our editor in chief. Some members of the KQED podcast team are represented by the Screen Actors Guild, American Federation of Television and Radio Artists, San Francisco, Northern California Local. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">This episode’s keyboard sounds were submitted by my dad, Casey Sung, and recorded on his white and blue Epomaker Aula F99 keyboard with Greywood V3 switches and Cherry Profile PBT keycaps. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Okay, and I know it’s a podcast cliche, but if you like these deep dives and want us to keep making more, it would really help us out if you could rate and review us on Spotify, Apple Podcasts, or wherever you listen to the show. Follow us on Instagram at CloseAllTabsPod, or TikTok at Close All Tabs. Thanks for listening. \u003c/span>\u003c/p>\n\u003cp> \u003c/p>\n\u003cp>[ad floatright]\u003c/p>\n",
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"description": "When ChatGPT launched in 2022, it kicked off what some have called the “AI hype machine” — a frenzy of promotion and investment that has sent some tech companies’ valuations soaring to record heights. Meanwhile, computational linguist Emily M. Bender and AI researcher and sociologist Alex Hanna have proudly worn the titles of “AI hype busters,” critiquing the industry’s loftiest claims and pointing out the real-world harms behind this wave of excitement. What began as a satirical podcast is now a book, The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want. In this episode, Alex and Emily explain why the very term “AI” is misleading, how AI boosters and doomers are really flip sides of the same coin, and why we should question the AI inevitability narrative.",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003cp>\u003ca href=\"#episode-transcript\">\u003ci>View the full episode transcript.\u003c/i>\u003c/a>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">When ChatGPT launched in 2022, it kicked off what some have called the “AI hype machine” — a frenzy of promotion and investment that has sent some tech companies’ valuations soaring to record heights. Meanwhile, computational linguist Emily M. Bender and AI researcher and sociologist Alex Hanna have proudly worn the titles of “AI hype busters,” critiquing the industry’s loftiest claims and pointing out the real-world harms behind this wave of excitement. What began as a satirical podcast is now a book, \u003c/span>\u003ca href=\"https://thecon.ai/\">\u003ci>\u003cspan style=\"font-weight: 400\">The AI Con\u003c/span>\u003c/i>\u003c/a>\u003cspan style=\"font-weight: 400\">:\u003c/span>\u003ci>\u003cspan style=\"font-weight: 400\"> How to Fight Big Tech’s Hype and Create the Future We Want\u003c/span>\u003c/i>\u003cspan style=\"font-weight: 400\">. In this episode, Alex and Emily explain why the very term “AI” is misleading, how AI boosters and doomers are really flip sides of the same coin, and why we should question the AI inevitability narrative. \u003c/span>\u003c/p>\n\u003cp>\u003c!-- iframe plugin v.4.3 wordpress.org/plugins/iframe/ -->\u003cbr>\n\u003ciframe loading=\"lazy\" frameborder=\"0\" height=\"200\" scrolling=\"no\" src=\"https://playlist.megaphone.fm/?e=KQINC5696998106\" width=\"100%\" class=\"iframe-class\">\u003c/iframe>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Guests: \u003c/span>\u003c/p>\n\u003cul>\n\u003cli>\u003ca href=\"https://bsky.app/profile/emilymbender.bsky.social\">\u003cspan style=\"font-weight: 400\">Emily Bender\u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\">, professor of linguistics the University of Washington\u003c/span>\u003c/li>\n\u003cli>\u003ca href=\"https://bsky.app/profile/alexhanna.bsky.social\">Alex Hanna\u003c/a>, director of research at the Distributed AI Research Institute\u003c/li>\n\u003c/ul>\n\u003cp>\u003cspan style=\"font-weight: 400\">Further reading/listening: \u003c/span>\u003c/p>\n\u003cul>\n\u003cli>\u003ca href=\"https://thecon.ai/\">\u003cspan style=\"font-weight: 400\">The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want\u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\"> — Emily Bender and Alex Hanna\u003c/span>\u003c/li>\n\u003cli>\u003ca href=\"https://www.dair-institute.org/maiht3k/\">\u003cspan style=\"font-weight: 400\">The Mystery AI Hype Theater 3000 Podcast\u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\"> — Emily M. Bender and Alex Hanna\u003c/span>\u003c/li>\n\u003cli>\u003ca href=\"https://www.techpolicy.press/ai-hurts-consumers-and-workers-and-isnt-intelligent/\">\u003cspan style=\"font-weight: 400\">“AI” Hurts Consumers and Workers — and Isn’t Intelligent\u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\"> — Emily Bender and Alex Hanna, \u003c/span>\u003ci>\u003cspan style=\"font-weight: 400\">Tech Policy Press\u003c/span>\u003c/i>\u003c/li>\n\u003cli>\u003ci>\u003c/i>\u003ca href=\"https://lithub.com/on-the-very-real-dangers-of-the-artificial-intelligence-hype-machine/\">\u003cspan style=\"font-weight: 400\">On the Very Real Dangers of the Artificial Intelligence Hype Machine: Emily M. Bender and Alex Hanna Explore AI History, the Cold War, and a Fatally Overhyped Idea \u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\">— Emily M. Bender, \u003c/span>\u003ci>\u003cspan style=\"font-weight: 400\">LitHub\u003c/span>\u003c/i>\u003c/li>\n\u003cli>\u003ci>\u003c/i>\u003ca href=\"https://www.404media.co/sora-2-content-violation-guardrails-error/\">\u003cspan style=\"font-weight: 400\">People Are Crashing Out Over Sora 2’s New Guardrails\u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\"> — Samantha Cole, \u003c/span>\u003ci>\u003cspan style=\"font-weight: 400\">404 Media\u003c/span>\u003c/i>\u003c/li>\n\u003cli>\u003ci>\u003c/i>\u003ca href=\"https://futurism.com/artificial-intelligence/sora-2-financial-problem\">\u003cspan style=\"font-weight: 400\">Sora 2 Has a Huge Financial Problem\u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\"> — Victor Tangermann, \u003c/span>\u003ci>\u003cspan style=\"font-weight: 400\">Futurism\u003c/span>\u003c/i>\u003c/li>\n\u003cli>\u003ci>\u003c/i>\u003ca href=\"https://www.technologyreview.com/2025/05/20/1116327/ai-energy-usage-climate-footprint-big-tech/\">\u003cspan style=\"font-weight: 400\">We did the math on AI’s energy footprint. Here’s the story you haven’t heard.\u003c/span>\u003c/a>\u003cspan style=\"font-weight: 400\"> — James O’Donnell and Casey Crownhart, \u003c/span>\u003ci>\u003cspan style=\"font-weight: 400\">MIT Technology Review\u003c/span>\u003c/i>\u003c/li>\n\u003c/ul>\n\u003cp>Want to give us feedback on the show? Shoot us an email at \u003ca href=\"mailto:CloseAllTabs@KQED.org\">CloseAllTabs@KQED.org\u003c/a>\u003c/p>\n\u003cp>\u003ca href=\"https://www.instagram.com/closealltabspod/\">Follow us on Instagram\u003c/a>\u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"content": "\u003cdiv class=\"post-body\">\u003cp>\u003c/p>\n\u003ch2>\u003c/h2>\n\u003ch2 id=\"episode-transcript\">Episode Transcript\u003c/h2>\n\u003cp>\u003ci>\u003cspan style=\"font-weight: 400\">This is a computer-generated transcript. While our team has reviewed it, there may be errors.\u003c/span>\u003c/i>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">A few weeks ago, OpenAI launched an app, Sora. It’s a vertical video social platform, similar to TikTok, except all the videos are generated by the company’s AI image generator, Sora 2. Within days, the app was a copyright infringement nightmare. There were videos of SpongeBob cooking meth, unsanctioned Rick and Morty ads for crypto startups, and many, many videos of open AI CEO Sam Altman doing depraved things to copyrighted characters. Like the one where he brutally barbecues and carves up Pikachu. \u003c/span>\u003c/p>\n\u003cp>\u003ci>\u003cspan style=\"font-weight: 400\">[AI CEO Sam Altman] Pikachu on the grill here. It’s already got a beautiful char and it smells like somebody plugged in a chicken. Let’s give it a flip. I’m gonna carve it into some thick steaks. Look at that. Crust on the outside, pink and juicy in the middle. Cheers.\u003c/span>\u003c/i>\u003cspan style=\"font-weight: 400\"> \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">All of these 10 second videos require an immense amount of computing power, which is extremely costly to maintain. In a blog post, Sam Altman admitted that the company still needs to figure out how to make money off of Sora. He wrote, “People are generating much more than we expected per user, and a lot of videos are being generated for very small audiences.” Facing heat from copyright holders like Disney and Nintendo, Altman also announced extra guardrails for the app to curb infringement. Now, users are complaining that everything they try to generate using Sora 2 gets flagged as a violation of the copyrighted content policy. They’re already getting bored of the app. This whole cycle has been described as the AI hype machine. Big investments are made based on big promises of innovation, disruption, revolution. This hype fuels more investment, which, in turn, fuels the hype. The cycle continues when a new product launches. Meta, for example, launched its own AI social video app, called Vibes, last month too, which was quickly forgotten about when Sora launched. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">AI hype is effectively premised on fear of missing out. It is the fear that if you don’t get onto this new technology, you are going to be left behind. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">That’s Alex Hanna, a sociologist and the Director of Research at the Distributed AI Research Institute. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">If you’re a corporate manager, you’re going to have your competitors just leave you in the dust. If you are a teacher, you are doing a disservice to your students by not preparing them for the job market of the future. If you were a student, you were going to miss out on all the skills and all your classmates are going to be outperforming you. And as a worker, you will be doing things the old way, the analog way, and everyone is going to be outpacing you. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Alex and her co-author, Emily M. Bender, recently published a book, The AI Con, How to Fight Big Tech’s Hype and Create the Future We Want. Emily runs the computational linguistics program at the University of Washington. This is a field of study that combines human language with machine learning. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">I often get asked the question, well aren’t you worried that students are going to get left behind? Etc. And my answer to that is often, where is everybody going? Like, this metaphor of left behind suggests that people are running off into some brilliant future. I just don’t see it, you know, setting aside the fact that the technology doesn’t do what it’s being sold to do, but that is overhyped and over promised. The idea that we’d be better off with instead of interacting with people at all stages, interacting with screens that that’s just not the future that I want. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">In this episode, we’re talking about the AI hype machine, when it started, how it’s fed, and why a growing corner of critics say they see right through it. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">This is Close All Tabs. I’m Morgan Sung, tech journalist and your chronically online friend, here to open as many browser tabs as it takes to help you understand how the digital world affects our real lives. Let’s get into it. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">All right, like we always do, we’re starting by opening a new tab. What is P-Doom? In their book, The AI Con, Alex and Emily talk about these two groups. There are the AI boosters, the people who are optimistic that AI will pave the way to our utopian future. Then there are the AI doomers: the people that catastrophize, and believe that AI progress will usher in an era of societal collapse and human extinction. It’s very Matrix. \u003c/span>\u003c/p>\n\u003cp>\u003ci>\u003cspan style=\"font-weight: 400\">[Clip from the film “The Matrix] The Matrix is a system, Neo. That system is our enemy. \u003c/span>\u003c/i>\u003c/p>\n\u003cp>\u003cb>Morgan Sung \u003c/b>\u003cspan style=\"font-weight: 400\">But before we break this down further, let’s start by defining our terms. Here’s Emily. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">Artificial intelligence does not refer to a coherent set of technologies, and it has throughout its history, since it was coined by John McCarthy in 1955, basically been used to sell this idea of some magic do-everything technology in order to get money. Initially, it was research funding and then DOD money and now a lot of it is venture capital money. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">Yeah, and the way that this has proliferated in the modern day is that so many things get called AI. So that could be automated decision-making systems used for determining whether someone gets social services. And so that gets looped in, and then we also get recommendation systems, things like the TikTok algorithm, the Instagram Reels algorithm, pick your short-form video. But then, it’s really manifest in these large language models and diffusion models that are looped into the category of generative AI.\u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">You start this book from this one moment in 2023, when Chuck Schumer at the time, the Senate majority leader, held a series of forums around AI. Can you take us back to that moment and like set the scene for us? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">So, late 2023, Chuck Schumer is convening the eighth of total nine Senate Insight forums around AI, and he asks folks, this is very weird, he asks, “what is folks’ probability of doom?” And this is abbreviated as P(doom), and for this instance, it’s an audio platform, that is P, open parentheses, doom, closed parentheses. And he also asked, “what people’s pee hope is.” So this means what is your probability that there’s going to be some kind of a doom scenario, in which through, you know, hook or crook, some kind of thing called AI is going to outperform or outsmart humans and take over and lead to human extinction. And in the book, we start and we say, well, this is the wrong question. But also if you’re looking at harms that are happening in the here and now, there are many that exist, whether that be deep fake porn being made out of non-consensual adults and children, the use of automated decision-making and weapons targeting, especially in Gaza, and then we also talk about students having their exams effectively being judged by these automated tools. So talking about P(doom) in this register is asking the wrong question and focusing on the wrong things. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">But oftentimes it looks like the doomers, the people with a high P(doom) value, the people who take that question seriously in the first place, um, and the boosters, the people who say this is gonna solve all our problems, are like the opposite ends of a spectrum. And that is how these people present themselves, it is how the media often presents what’s going on, and it is very misleading. I think that one of the points that we make is that doomerism is another kind of AI hype, because it’s saying, our system is very powerful. It’s so powerful, it’s going to kill us all, is a way of saying it’s very powerful, but also we make the point that the doomers and the boosters are two sides of the same coin. And it, I think, becomes very clear if you look at it this way, which is to say, the doomers say, “AI is a thing, it’s imminent, it’s inevitable, and it’s gonna kill us all.” And the boosters say, “AI’s a thing, it’s imminent, it’s inevitable, and it is gonna solve all of our problems.” And it’s pretty easy to see these are the same position with just a different twist at the end. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">And the funny thing about this boosterism, doomerism dichotomy is that these are many of the same people or they run in many of same circles. So, you know, there was this document that was put out called AI 2027, in which it ends with humanity dying and the kind of choose your own adventure. There’s only two endings here. The choose your own adventure and one of them, you know everyone dies. But the lead author of this works at OpenAI. And there’s many such cases of people who are working on quote unquote, “AI alignment”, who are in these industries. So, it’s again not as if they’re against the building of AI, or we should just say no, it’s actually a very narrow segment of people. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">You described this industry as the AI hype machine, the modern AI hype machine, what does it look like? I mean, who are the players? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">Yeah, I mean, the players are many of the big tech players that we know. So Microsoft, Google, Amazon, Meta, but with some new entrants, OpenAI being the most significant one. Um, and along with OpenAI, a few offshoots, so Anthropic is kind of the most notable one. And then the company that’s creating the shovels for the gold rush, so that’s your Nvidia, and then your Taiwanese semiconductor manufacturing company, abbreviated as TSMC. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">I want to say that we see AI hype not just originating from those big players, like that is a large source of it. Also we hear over and over and again about people working in various businesses being told by their higher ups that they have to try this new AI thing. And so there’s this sort of secondary promulgation of hype that comes from middle management and up that have been sold on the idea that this is going to, you know, really increase productivity. And, you know, on the one hand, it’s a very useful excuse for doing layoffs that they may have otherwise already wanted to do, but then on the other hand, some people seem to have really bought into the idea. So they tell the people working for them, you have to spend time figuring out how to make yourself more productive by using these so-called AI tools, because everyone’s telling me that that’s the way of the future. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">I mean, the obvious way people are, these players, are feeding into the AI hype machine is by extolling the virtues of AI, or, you know, kind of spreading this very doomerous sci-fi rhetoric. But what other strategies are being used to feed this machine? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">So one important strategy is what I sometimes call citations to the future. So people will say, yeah, yeah. It’s got problems now, but it’s going to do all of these things. And I think it really is the only technology that we are expected to evaluate based on promises of what it will be doing, right? That car that I just bought only gets, you know, 35 miles to the gallon. But that’s OK, because the later one’s going to get 50. We don’t talk about it that way, except with the so-called AI technology.\u003c/span>\u003c/p>\n\u003cp>So, citations to the future is one big strategy and another one is anthropomorphizing language, talking about things that have happened as if the computer systems themselves did it of their own volition and autonomously instead of people having used the system to do it or done something in order to build the system. So it’ll be something like, AI needs lots and lots of data. Well, no, people who want to build the system that they’re calling AI are amassing lots and lots of data in order to build them, or AI is thirsty, it needs lots of water, or AI was able to identify, you know, something in a blurry image. It’s like — in no sense, right? \u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">People used XYZ tool in order do a thing, or in order to build these tools, they are using lots of of water and so on. So this anthropomorphizing language sort of shifts the people out of the frame and hides a bunch of accountability, and at the same time, makes the systems sound cooler than they are. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Alex and Emily also pointed out that players in the AI industry push this adoption of AI into our everyday lives by really trying to humanize the product. We’re gonna dive into that in a new tab. First, a quick break. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Time for a new tab! Are we really just meat machines?\u003cbr>\n\u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Let’s talk about the technology itself, like the way people talk about large language models as AI, um, ChatGPT, Claude, Grok. Many people understand that these models are basically predicting the words that most often go together. But can you break it down further? Like, what’s really going on under the hood there? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">So, the first very important lesson is that when we say word, we’re actually talking about two things. We’re talking about the way the word is spelled and pronounced and what it is used to mean. And one thing that makes that hard to keep in mind is that as proficient speakers of the languages we speak, pretty much anytime we encounter the spelling or sound of a word, we are also encountering what the person using it is using it to talk about. And so we always experience the form and meaning together. But a language model, so that the core component of something like Gemini or Grok or Claude or ChatGPT is literally a system for modeling which bits of words go with which other bits of words in whatever the input collection of text was to create that model. And so what we have are models that are very good at putting literally like spellings of parts of words next to each other in a way that looks like something somebody might say. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Emily and Alex have come up with a few phrases that illustrate what large language models really are, which also describe the limitations of this tech. We’ve got synthetic text extruding machine. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">The choice of the word extrude is very intentional because it’s a little gross. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Racist pile of linear algebra. Spicy autocomplete. And one phrase that really took off, stochastic parrot. Emily coined the phrase in a research paper she co-authored in 2020. Parrots can mimic human speech, but whether they can really comprehend it, that’s dubious. Stochastic comes from probability theory. It means randomly determined. So a stochastic parrot essentially mimics language in a random order and does so convincingly, but it doesn’t understand it. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">Starting with OpenAI’s GPT-2 and GPT3, they were using it to create synthetic text. And so one of the things we worried about in that paper is what happens if someone comes across synthetic text and doesn’t know that it was synthetic? What we didn’t realize at the time is that people would be happy to look at synthetic text while knowing that it’s synthetic. That is very surprising to me. And so the phrase stochastic parrots was this attempt to make vivid what’s going on, to help people understand why the output of a language model run to repeatedly answer the question, what’s a likely next word, is not the same thing as text produced by a person or group of people with something to communicate. And what’s happened, it’s been fascinating as a linguist to watch that phrase go out into the world, so for the first little while, it was people referring to the paper, and then it sort of became people talking about, um, that claim that large language models are not understanding, they’re just repeatedly predicting a likely next word. And then it got picked up or interpreted as an insult, which is surprising to me because in order for it to be an insult, the thing that it’s being applied to would have to the kind of thing that could be insulted. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Then in 2022, Sam Altman tweeted, I am a stochastic parrot and so are you. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">I think what happens when Sam Altman picks it up and tweets that is that it is, on the one hand, sort of an attempt to reclaim what is understood as an insult or slur by people in that mindset, but also, and very importantly, it is about minimizing what it is to be human, so that he can claim that the system that he’s built is as good as a person.\u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Emily and Alex say this concept of comparing humans to, essentially, flesh machines is a classic move in the AI hype machine playbook. It’s reducing humanity and what it means to be human to programming, like Eliza in the 60s. Eliza was an early natural language processing program designed to mimic a therapist. Think of it as a great, great, great, grand chatbot of ChatGPT. A lot of people, from academics to government leaders to tech industry giants, bought into the Eliza hype. And that freaked out Eliza’s own creator, Joseph Weizenbaum. In a book he published in the 70s, Weizenbaum warned that machines would never be able to make the same decisions that humans make because they don’t have human empathy. His criticism of AI caused a stir in the research community. And decades later, AI boosters are still making that same claim. That humans and machines aren’t that different. But what does this devaluing of humanity really mean for us? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">Yeah, I mean, it means a lot of things. It really seems to emphasize that there is, kind of, aspects of human behavior that can just be reduced to our observable outputs, right? Humans are just things that output language or output actions, when that’s not true. Humans have a much more vivid internal life. Um, we think about others. Uh, we think about, kind of, co-presence, but it’s more about saying how we’re comparing ourselves to machines that are programmed by people and those people in those institutions have particular types of incentives to make machines that behave as such. So that’s the kind of implications that it has and it also has the implications of other kinds of moves into humanism, dehumanization and what that does and how we treat people and with regards to dignity and propriety of rights. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Can you also give concrete examples of where we see this kind of, uh, devaluing of humans? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">So I think if we say that humans can be reduced to their outputs, that that leads to lots of problems. And one is we end up saying, you know, the form of, or the words that teachers and students say in the classroom is the learning situation. And so we can replace the teacher with a system for outputting words and then those students will get as much and maybe it’ll be personalized and it’ll better. And that is dehumanizing to teachers clearly and also to students because it removes, you know, everything that is about the student and teacher’s internal life and about their relationship and about their community from the situation. But I think it’s also really important in terms of the workforce more generally, that basically if we say, well, humans like large language models are systems for outputting words, then it’s a very small step to basically saying the whole value of this person is how many words they can output and doing a very, very dehumanizing work environment to people. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">We also see this in other domains like the Amazon work floor and the ways that these mini robots flit from place to place and the so-called quote unquote pickers. People on Amazon work warehouses have to pick things and then deliver them. So there’s a lot of implications for that and I think also in seeing the humanity in other folks and how we treat other folks. You know, if they’re merely meat machines, then what does it say about how we view them with respect to, kind of, personal rights and human rights and what kind of rights they should be afforded? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">This idea of human beings just being walking meat machines is chilling. It definitely creeped me out. What are the other real world consequences of this thinking? Let’s open a new tab. Who’s really harmed by AI hype? Alex and Emily have said that their goal with writing the AI con is to reduce the harm caused by AI hype. Automation, for example, doesn’t just replace jobs. Healthcare providers are increasingly relying on AI products for medical triage to decide which patients to see first. Free legal representation, a guaranteed right in criminal cases, can be replaced by a lawyer using a chat bot. All of this potentially lowers the quality of these services. And introduces bias into these systems. Artists and other creatives, meanwhile, are struggling to make ends meet as AI generators, sometimes trained on their own work, are used as a cheaper, faster alternative. And then there’s how large language models are disrupting our whole information ecosystem. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">There’s a metaphor we use in the book, the idea that information is being output from these models and results in information ecosystem spills, like toxic spills that really can’t be cleaned up. There’s not really a reliable way to detect synthetic text. And so you’re having to deal with and navigate and try to understand whether something on the internet is actually reflective of truth claims that are being made and perhaps researched more deeply by human individuals. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">You’ve written that the strongest critiques against AI boosterism come from black, brown, poor, queer, and disabled scholars and activists. Can you talk about some examples of these critiques and why these groups specifically are so uniquely positioned to make them? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">So we wrote about that in the register of thinking about the ways in which systems, in here, I want to say data-driven systems, not just large language models, but even different systems just don’t work for black, brown communities, queer, and trans people, and then people like refugees and people on the move. The kind of pioneering work of Drs. Temnit Gebru and Joy Buolamwini in their paper Gender Shades talks about facial analysis systems, specifically the way that facial analysis systems do very poorly on darker-skinned women and that there’s a huge delta between darker-skinned women and lighter-skinned men. Sasha Costanza-Chock talks about how tools like TSA scanners do very poorly on trans people. Typically flagging genitals as anomalies or chest areas as anomalities, and then the kind of disparities of how systems talk about women. So there’s been a few papers talking about the ways in which different tools, in this case a word embedding space, makes associations between people and occupation. So, man is to doctor, women is to… typically, the completion is nurse, so it makes presuppositions of this. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">All of this stuff effectively happens in large-language models [laughter] and happens in image generation models as well. There’s some great research by the Bloomberg data team that shows that if you input something like a nurse, uh, typically or a housekeeper, it outputs a kind of a phenotypically looking darker-skinned woman. If you type in CEO, white man. And so those kinds of elements are the bias element of it. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">Ruha Benjamin sums it up really nicely in this beautiful essay called The New Artificial Intelligentsia that appeared in the LA Review of Books in 2024. And she’s talking about these ideas of transhumanism and merging with the machines. She says this zealous desire to transcend humanity ignores the fact that we have not all had the chance to be fully human. My interpretation of what she’s saying is that the people that society does not accord full humanity to have a very different experience of technology, both in the ways, as Alex is saying, it’s being used on them, in the ways that doesn’t work well for them and just in the way that it intrudes on their life. And so people who have the privilege of not experiencing any of that tend to be less sensitized to what’s going on and to have a less informed perspective. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">And this less-informed perspective encourages AI boosters, who continue to fuel the hype machine. This means investing in and launching new products at a breakneck pace, often overlooking the real-world impact. The MIT Technology Review recently reported that generating one 5-second AI video uses about 3.4 million joules, the equivalent of running a microwave for over an hour. At scale this amount of energy consumption is devastating for the environment. And running all of this comes at a steep price for AI companies, too. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Like we talked about earlier, OpenAI’s Sora app is proving to be wildly expensive, with more users generating videos than actually watching them. And after the copyright fiasco and subsequent new guardrails, it seems like some initial adopters are already moving on. Can the hype machine sustain this kind of frenzied investment with such limited return? \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Okay, we’re opening one last tab. Is the height machine breaking? \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Do you think the AI hype bubble is going to burst? I mean, like, are there economic critiques? You’ve heard the social ones, but is there anything pointing to the AI height bubble possibly at least deflating? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">Yeah, well, the problem is that there’s so much capital expenditure going into building things like data centers, and they’re going into these massive data center build out where, you know, the kind of projections and how much OpenAI, Microsoft, Google, Amazon, and Meta are spending on this all is astronomical. I mean, hundreds of billions of dollars, just some of the largest technological infrastructure projects that we’ve ever seen. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">At the same time, OpenAI again, the company that has the most queries to Chat GPT, people using most of its products, is making revenue on the order of maybe $10 billion a year. So it’s just orders of magnitude less. And the kind of metaphor that’s being used as well, we have to build the railroads first, and then once the rail roads get going, we can put rail cars in them. But that metaphor doesn’t work at all. People are already using the product. And, you know, companies are already saying, we’re not getting a lot of value out of this. You know, there was an, something that was coming out of MIT, which said 95% of companies just haven’t really gained value from quote unquote AI. So what’s happening? This is very bubble shaped, you now, and I don’t know how the story ends, but it’s very alarming that these four to seven companies are propping up the US and world economy right now, so what happens when the bubble deflates or bursts, it’s not going to be good. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Like you said, um, you finished this book in September 2024. The AI industry has only grown since then. What have you learned about the state of the AI hype machine from the reception to your book? \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">I would say what I’ve learned the most about is about the resilience of people and the importance of connection and community. So the antidote to the hype is a variety of things, one is ridicule as praxis, as we say in the book, and also solidarity and labor movements, but also just sort of connection. And one form of that connection is that there’s a lot of people who are, who feel isolated in a workplace or a social circle where everyone around them seems just completely gaga for this technology and they’re the odd one out. And so one of the joys of both our podcasts and this book has been to find those people and be found by those people who say, oh, so glad I’m not the only one. And then they can form community with other people who have the same reaction and I think that that is super important. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">One of the things we grapple a lot just like within Close All Tabs is where to draw the line with AI use, you know. And again, that’s complicated. What is AI? For example, we don’t use ChatGPT, but we use an AI transcription tool for our interviews. Are there conditions under which using large language models, AI tools, are reasonable or justified, appropriate? And then what’s your message to the average listener who maybe uses ChatGPT in their daily but they’re not necessarily AI boosters and not necessarily AI doomers. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">Yeah. Um, so to the first question, I would say I never call it an AI transcription tool. I would say automatic transcription, right? And that is a use case where, you know, you want to look at the labor conditions of the people who produced it, where the training data come from. And it’s also a use case where you are well positioned to check the output and see if it’s working well for you, right. You’ve got something that has been recorded, you’ve got an automatically produced transcript, you’re presumably going through and correcting it. And if it is wrong all the time, or if you have one that is particularly bad for non-Anglo names, for example, you might start looking for something that’s better. So that is a case of automation that I think can be okay. You still want to look into who produced it. Are there privacy implications? Can I use this tool without uploading my data to somebody else and so on? But there’s reasonable uses and reasonable ways to produce automatic transcription. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">If we’re talking about chat bots of the form of ChatGPT, I don’t see reasonable use cases there. And partially we know that the labor and environmental costs are extraordinarily high, that this is not produced ethically. But even setting that aside, every time you turn to ChatGPT for information, you’re cutting yourself off from important sense-making. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">One of the examples I like to use, if you think about an old fashioned search engine that gave you back, you know, the 10 blue links and you’ve got a medical query, what might come back in those links is a link to, you know something like the Mayo Clinic and then your regional university medical center, so in the Bay area, you know UCSF. And you might get a link to Dr. Oz’s page and you might get a link to a discussion forum where people with the same medical questions are talking to each other. And you can then look at those and understand the information that’s there based on what you know about the Mayo Clinic and UCSF and Dr. Oz and discussion forums. But that also helps you continue to update what you know, about those kinds of sites. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Whereas if you asked a chatbot and you got back something that was just sort of some paper mache made up out of some combination of what’s in those sites, you not only don’t know how to contextualize what you’ve seen, but you’re also cut off from ability to continue to understand the information environment. And then very importantly, if you think about that discussion forum, any given, you know, sentence from that discussion forum interpreted as information, you’re going to want to take with a big grain of salt. But the chance to connect with people who are going through the same medical journey is priceless. And there’s a, the scholar Chris Gilliard describes these technologies as technologies of isolation. And I think it’s really important to think about anytime you might turn to a chat bot- what would you have done three years ago? What would you have done when ChatGPT was not in your world and what are you missing out on by not doing that now? The connections that you would make with people, the ongoing maintenance of relationships, the building of community, the deeper sense of what’s going on in the world around you, all of these are precious and I think not to be thrown away for the semblance of convenience. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">And then I think the final thing that I would say is look out for, identify, and reject the inevitability narrative. So the tech companies would like us to believe that AI is the future, it’s definitely coming. Even if you don’t like it, you have to resign yourself to it. And you’ll get people saying, well, it’s here to stay, we have to learn what to live with it. And I refuse that. I say that is also a bid to steal our agency because the future is not written. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Those are all my questions. Thank you so much for joining us.\u003cbr>\n\u003c/span>\u003cb>\u003c/b>\u003c/p>\n\u003cp>\u003cb>Emily M. Bender: \u003c/b>\u003cspan style=\"font-weight: 400\">Yeah, thank you. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Alex Hanna: \u003c/b>\u003cspan style=\"font-weight: 400\">It was a pleasure. \u003c/span>\u003c/p>\n\u003cp>\u003cb>Morgan Sung: \u003c/b>\u003cspan style=\"font-weight: 400\">Let’s close all of these tabs. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Close All Tabs is a production of KQED studios and is reported and hosted by me, Morgan Sung. This episode was produced by Chris Egusa and edited by Jen Chien. Close All tabs producer is Maya Cueva. Chris Egusa is our senior editor. Additional editing by Chris Hambrick and Jen Chien, who’s KQED’s director of podcasts. Original music, including our theme song and credits by Chris Egusa. Additional music by APM. Brendan Willard is our audio engineer. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Audience engagement support from Maha Sanad. Katie Sprenger is our podcast operations manager and Ethan Toven-Lindsey is our editor in chief. Some members of the KQED podcast team are represented by the Screen Actors Guild, American Federation of Television and Radio Artists, San Francisco, Northern California Local. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">This episode’s keyboard sounds were submitted by my dad, Casey Sung, and recorded on his white and blue Epomaker Aula F99 keyboard with Greywood V3 switches and Cherry Profile PBT keycaps. \u003c/span>\u003c/p>\n\u003cp>\u003cspan style=\"font-weight: 400\">Okay, and I know it’s a podcast cliche, but if you like these deep dives and want us to keep making more, it would really help us out if you could rate and review us on Spotify, Apple Podcasts, or wherever you listen to the show. Follow us on Instagram at CloseAllTabsPod, or TikTok at Close All Tabs. Thanks for listening. \u003c/span>\u003c/p>\n\u003cp> \u003c/p>\n\u003cp>\u003c/p>\u003c/div>",
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"info": "What kind of no sabo word is Hyphenación? For us, it’s about living within a hyphenation. Like being a third-gen Mexican-American from the Texas border now living that Bay Area Chicano life. Like Xorje! Each week we bring together a couple of hyphenated Latinos to talk all about personal life choices: family, careers, relationships, belonging … everything is on the table. ",
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"info": "Our flagship program, helmed by Kai Ryssdal, examines what the day in money delivered, through stories, conversations, newsworthy numbers and more. Updated Monday through Friday at about 3:30 p.m. PT.",
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"info": "The MindShift podcast explores the innovations in education that are shaping how kids learn. Hosts Ki Sung and Katrina Schwartz introduce listeners to educators, researchers, parents and students who are developing effective ways to improve how kids learn. We cover topics like how fed-up administrators are developing surprising tactics to deal with classroom disruptions; how listening to podcasts are helping kids develop reading skills; the consequences of overparenting; and why interdisciplinary learning can engage students on all ends of the traditional achievement spectrum. This podcast is part of the MindShift education site, a division of KQED News. KQED is an NPR/PBS member station based in San Francisco. You can also visit the MindShift website for episodes and supplemental blog posts or tweet us \u003ca href=\"https://twitter.com/MindShiftKQED\">@MindShiftKQED\u003c/a> or visit us at \u003ca href=\"/mindshift\">MindShift.KQED.org\u003c/a>",
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"info": "For decades, the process for how police police themselves has been inconsistent – if not opaque. In some states, like California, these proceedings were completely hidden. After a new police transparency law unsealed scores of internal affairs files, our reporters set out to examine these cases and the shadow world of police discipline. On Our Watch brings listeners into the rooms where officers are questioned and witnesses are interrogated to find out who this system is really protecting. Is it the officers, or the public they've sworn to serve?",
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"politicalbreakdown": {
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"tagline": "Politics from a personal perspective",
"info": "Political Breakdown is a new series that explores the political intersection of California and the nation. Each week hosts Scott Shafer and Marisa Lagos are joined with a new special guest to unpack politics -- with personality — and offer an insider’s glimpse at how politics happens.",
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"possible": {
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"title": "Possible",
"info": "Possible is hosted by entrepreneur Reid Hoffman and writer Aria Finger. Together in Possible, Hoffman and Finger lead enlightening discussions about building a brighter collective future. The show features interviews with visionary guests like Trevor Noah, Sam Altman and Janette Sadik-Khan. Possible paints an optimistic portrait of the world we can create through science, policy, business, art and our shared humanity. It asks: What if everything goes right for once? How can we get there? Each episode also includes a short fiction story generated by advanced AI GPT-4, serving as a thought-provoking springboard to speculate how humanity could leverage technology for good.",
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"pri-the-world": {
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"title": "PRI's The World: Latest Edition",
"info": "Each weekday, host Marco Werman and his team of producers bring you the world's most interesting stories in an hour of radio that reminds us just how small our planet really is.",
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},
"radiolab": {
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"title": "Radiolab",
"info": "A two-time Peabody Award-winner, Radiolab is an investigation told through sounds and stories, and centered around one big idea. In the Radiolab world, information sounds like music and science and culture collide. Hosted by Jad Abumrad and Robert Krulwich, the show is designed for listeners who demand skepticism, but appreciate wonder. WNYC Studios is the producer of other leading podcasts including Freakonomics Radio, Death, Sex & Money, On the Media and many more.",
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},
"reveal": {
"id": "reveal",
"title": "Reveal",
"info": "Created by The Center for Investigative Reporting and PRX, Reveal is public radios first one-hour weekly radio show and podcast dedicated to investigative reporting. Credible, fact based and without a partisan agenda, Reveal combines the power and artistry of driveway moment storytelling with data-rich reporting on critically important issues. The result is stories that inform and inspire, arming our listeners with information to right injustices, hold the powerful accountable and improve lives.Reveal is hosted by Al Letson and showcases the award-winning work of CIR and newsrooms large and small across the nation. In a radio and podcast market crowded with choices, Reveal focuses on important and often surprising stories that illuminate the world for our listeners.",
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"officialWebsiteLink": "https://www.revealnews.org/episodes/",
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},
"rightnowish": {
"id": "rightnowish",
"title": "Rightnowish",
"tagline": "Art is where you find it",
"info": "Rightnowish digs into life in the Bay Area right now… ish. Journalist Pendarvis Harshaw takes us to galleries painted on the sides of liquor stores in West Oakland. We'll dance in warehouses in the Bayview, make smoothies with kids in South Berkeley, and listen to classical music in a 1984 Cutlass Supreme in Richmond. Every week, Pen talks to movers and shakers about how the Bay Area shapes what they create, and how they shape the place we call home.",
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"order": 16
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