Podcast appearances and mentions of karen hao

There's a good chance that before November of 2022, you hadn't heard of tech nonprofit OpenAI or cofounder Sam Altman. But over the last few years, they've become household names with the explosive growth of the generative AI tool called ChatGPT. What's been going on behind the scenes at one of the most influential companies in history and what effect has this had on so many facets of our lives? Karen Hao is an award-winning journalist and the author of “Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI” and has covered the impacts of artificial intelligence on society. She joins WITHpod to discuss the trajectory AI has been on, economic effects, whether or not she thinks the AI bubble will pop and more.

RFK Jr.'s recent “Make America Healthy Again” (MAHA) report required tweaks from the Trump administration after experts pointed out it cited studies that did not exist. Many are wondering: Was artificial intelligence used to create the report?  Plus, a dive into the influence big tech companies have on the rise of artificial intelligence in the workplace. A new report suggests that AI could slash half of entry-level white-collar jobs. Tech journalist Karen Hao joins The Weekend to discuss.

In 2019, before most of the world had heard of the company, the technology journalist Karen Hao spent three days embedded in the offices of OpenAI. What she saw, she tells Michael Safi, was a company vastly at odds with its public image: that of a transparent non-profit developing artificial intelligence technology purely for the benefit of humanity. ‘They said that they were transparent. They said that they were collaborative. They were actually very secretive,' she says. Hao spent the next five years following the growth of OpenAI, as it shifted to pursue – in her words – a growth-at-all-costs model. On the one hand, it has been spectacularly successful, with OpenAI now one of the largest companies in the world. On the other, she argues, it has come at a severe cost – to the people whose labour it relies on to operate, and to the planet. In fact, as she describes in her new book, Empire of AI: Inside the reckless race for total domination, it makes sense to think of OpenAI not as a company, but more akin to empires of old

Technology journalist Karen Hao, who has been reporting on OpenAI since 2019, compares the company's unprecedented growth to a new form of empire. Help support our independent journalism at theguardian.com/infocus

Dans cet épisode : expériences de pensées et aventures réflexives hautement «trippatives» autour des enjeux philosophiques, éthiques et socioéconomiques de l'intelligence artificielle.Au programme: Idéaux et imaginaires socio-techniques - Les rêves éveillés de Sam Altman et de la Silicone Valley.L'intégration de l'IA dans le monde académique et de la recherche en science: ChatGPT, le processus de révision par les pairs, et ses maladresses! L' «homme diminué» et la décharge cognitive – Les origines et le futur de la lecture, de l'individualité, de l'empathie et la pensée réflexive à l'ère de l'IA.Bonne écoute! Production et animation: Jean-François Sénéchal, Ph.DCollaborateurs et collaboratrices (BaristIAs):  Frédérick Plamondon et Sylvain Munger Ph.D.Collaborateurs et collaboratrices:  Véronique Tremblay, Stéphane Minéo, Frédérick Plamondon, Shirley Plumerand, Sylvain Munger Ph.D, Ève Gaumond, Benjamin Leblanc.Textes et sources mentionnés: Cavalié, A. (2016). Maryanne Wolf, Proust et le calamar : Éd. Abeille et castor, 2015 [2007, trad. de l'anglais par Lisa Stupar], 412 p., 22€. Revue Projet, (5), 92-92.Karen Hao (2025). Empire of AI : Dreams and Nightmares in Sam Altman's OpenAI, Penguin Press. Livre audio disponible sur Spotify.Podcast, This IS research, avec Nick Berente et Jan Recker. (« IS » pour Information Systems)Biswas, S., Dobaria, D., & Cohen, H. L. (2023). ChatGPT and the Future of Journal Reviews : A FeasibilityStudy. The Yale Journal of Biology and Medicine, 96(3), 415‑420. https://doi.org/10.59249/SKDH9286Ebadi, S., Nejadghanbar, H., Salman, A. R., & Khosravi, H. (2025). Exploring the Impact of Generative AI on Peer Review : Insights from Journal Reviewers. Journal of Academic Ethics. https://doi.org/10.1007/s10805-025-09604-4Hosseini, M., & Horbach, S. P. J. M. (2023). Fighting reviewer fatigue or amplifying bias? Considerations and recommendations for use of ChatGPT and other large language models in scholarly peer review. Research Integrity and Peer Review, 8(1), 4. https://doi.org/10.1186/s41073-023-00133-5Spinellis, D. (2025). False authorship : An explorative case study around an AI-generated article published under my name. Research Integrity and Peer Review, 10(1), 8. https://doi.org/10.1186/s41073-025-00165-zOBVIA Observatoire international sur les impacts sociétaux de l'intelligence artificielleDisclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the show

EXCLUSIVE NordVPN Deal ➼ https://nordvpn.com/adamconover Try it risk-free now with a 30-day money-back guarantee!Silicon Valley has started treating AI like a religion. Literally. This week, Adam sits down with Karen Hao, author of EMPIRE OF AI: Dreams and Nightmares in Sam Altman's OpenAI to talk about what it means for all of us when tech bros with infinite money think they're inventing god. Find Karen's book at factuallypod.com/books--SUPPORT THE SHOW ON PATREON: https://www.patreon.com/adamconoverSEE ADAM ON TOUR: https://www.adamconover.net/tourdates/SUBSCRIBE to and RATE Factually! on:» Apple Podcasts: https://podcasts.apple.com/us/podcast/factually-with-adam-conover/id1463460577» Spotify: https://open.spotify.com/show/0fK8WJw4ffMc2NWydBlDyJAbout Headgum: Headgum is an LA & NY-based podcast network creating premium podcasts with the funniest, most engaging voices in comedy to achieve one goal: Making our audience and ourselves laugh. Listen to our shows at https://www.headgum.com.» SUBSCRIBE to Headgum: https://www.youtube.com/c/HeadGum?sub_confirmation=1» FOLLOW us on Twitter: http://twitter.com/headgum» FOLLOW us on Instagram: https://instagram.com/headgum/» FOLLOW us on TikTok: https://www.tiktok.com/@headgum» Advertise on Factually! via Gumball.fmSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Freddy Gray speaks to writer and author Karen Hao, whose new book Empire of AI looks at a new, ominous age of empire with OpenAI. On the podcast they discuss the impacts of artificial intelligence on society and democracy and how Open AI founder Sam Altman has become a controversial figure. Hosted on Acast. See acast.com/privacy for more information.

Freddy Gray speaks to writer and author Karen Hao, whose new book Empire of AI looks at a new, ominous age of empire with OpenAI. On the podcast they discuss the impacts of artificial intelligence on society and democracy and how Open AI founder Sam Altman has become a controversial figure. 

Freddy Gray speaks to writer and author Karen Hao, whose new book Empire of AI looks at a new, ominous age of empire with OpenAI. On the podcast they discuss the impacts of artificial intelligence on society and democracy and how Open AI founder Sam Altman has become a controversial figure. Hosted on Acast. See acast.com/privacy for more information.

OpenAI was founded as a nonprofit meant to conduct artificial intelligence research that would benefit the general public. In the company's early days, reporter Karen Hao arranged to spend time in OpenAI's offices and noticed the culture there was incredibly secretive. That secrecy raised questions for Hao that ultimately resulted in her new book, Empire of AI. The book is an intimate look at the company behind ChatGPT, but also at the industry-wide race to control AI. In today's episode, she speaks with NPR's Steve Inskeep about early disagreements between founders Sam Altman and Elon Musk, Altman's talents for fundraising and storytelling, and how the AI race is reproducing elements of colonial empire.To listen to Book of the Day sponsor-free and support NPR's book coverage, sign up for Book of the Day+ at plus.npr.org/bookofthedayLearn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

In his New York Times review of the book, Columbia Law School professor and former White House official Tim Wu calls journalist Karen Hao's new book, Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI, “a corrective to tech journalism that rarely leaves Silicon Valley.” Hao has appeared on this podcast before, to help us understand how the business model of social media platforms incentivizes the deterioration of information ecosystems, the series of events around OpenAI CEO Sam Altman's abrupt firing in 2023, and the furor around the launch of DeepSeek last year. This week, Justin Hendrix spoke with Hao about the book, and what she imagines for the future.

Few technological advances have made the kind of splash –– and had the potential long-term impact –– that ChatGPT did in November 2022. It made a nonprofit called OpenAI and its CEO, Sam Altman, household names around the world. Today, ChatGPT is still the world's most popular AI Chatbot; OpenAI recently closed a $40 billion funding deal, the largest private tech deal on record. But who is Sam Altman? And was it inevitable that OpenAI would become such a huge player in the AI space? Kara speaks to two fellow tech reporters who have tackled these questions in their latest books: Keach Hagey is a reporter at The Wall Street Journal. Her book is called “The Optimist: Sam Altman, OpenAI and the Race to Reinvent the Future.” Karen Hao writes for publications including The Atlantic and leads the Pulitzer Center's AI Spotlight Series. Her book is called “Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI.” They speak to Kara about Altman's background, his short firing/rehiring in 2023 known as “The Blip”, how Altman used OpenAI's nonprofit status to recruit AI researchers and get Elon Musk on board, and whether OpenAI's mission is still to reach AGI, artificial general intelligence. Questions? Comments? Email us at on@voxmedia.com or find us on Instagram, TikTok, and Bluesky @onwithkaraswisher. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Hello! Today we have on repeat guest Karen Hao to talk about her new blockbuster book “Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI.” It's an amazing, deeply reported book that somehow encapsulates the history of AI, Silicon Valley, and OpenAI while also making a needed and clear argument about how we should think about this technology. Truly like if “Barbarians at the Gate” met “The Shock Doctrine” and it was about AI. We talk about the beginnings of OpenAI, how it burns a colonial path throughout the rest of the world in the form of data centers and exploitative labor, and how we might find a better alternative to Sam Altman's plan to take over the world. Can't recommend this book more highly — go get it! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit goodbye.substack.com/subscribe

After conducting over 300 interviews and spending seven years reporting on artificial intelligence, tech journalist and Empire of AI author Karen Hao discusses the story behind OpenAI and its founder Sam Altman, the current state of AI development, the potential risks and benefits of the technology, and the company's relationship with Microsoft. Then, Mike Gallagher, head of defense at Palantir Technologies and former U.S. Congressman, shares insights on the U.S.-China tech conflict, the dangers of using Huawei chips, the role of American companies operating in China, and the future of Taiwan. Plus, Home Depot reaffirmed its full-year guidance and said it will not raise prices due to tariffs, and Republicans are making progress on advancing a bill aligned with former President Trump's agenda in the House. Mike Gallagher 19:52Karen Hao  29:20 Emily Wilkins,@emrwilkinsMike Gallagher, @RepGallagherKaren Hao, @_KarenHaoBecky Quick, @BeckyQuickAndrew Ross Sorkin, @andrewrsorkinZach Vallese, @zachvallese

In Episode 418 of Hidden Forces, Demetri Kofinas sits down with award-winning journalist Karen Hao to discuss Empire of AI — her inside account of how OpenAI evolved from an idealistic, safety-first nonprofit into one of the world's most valuable private companies in its race to conquer the future. This conversation takes you inside that transformation—from the heady idealism of OpenAI's founding, through the billion-dollar Microsoft deal and the 2023 boardroom coup, to the unresolved questions that hang over Silicon Valley and Washington alike about the private concentration of power in the age of artificial intelligence and the nature of the world we are building. Whether you're an investor, a policymaker, or simply a concerned citizen trying to make sense of today's headlines, this episode will equip you with the context you need to understand what's really at stake in the race for AGI—and the levers we still have to steer it. Subscribe to our premium content—including our premium feed, episode transcripts, and Intelligence Reports—by visiting HiddenForces.io/subscribe. If you'd like to join the conversation and become a member of the Hidden Forces Genius community—with benefits like Q&A calls with guests, exclusive research and analysis, in-person events, and dinners—you can also sign up on our subscriber page at HiddenForces.io/subscribe. If you enjoyed today's episode of Hidden Forces, please support the show by: Subscribing on Apple Podcasts, YouTube, Spotify, Stitcher, SoundCloud, CastBox, or via our RSS Feed Writing us a review on Apple Podcasts & Spotify Joining our mailing list at https://hiddenforces.io/newsletter/ Producer & Host: Demetri Kofinas Editor & Engineer: Stylianos Nicolaou Subscribe and support the podcast at https://hiddenforces.io. Join the conversation on Facebook, Instagram, and Twitter at @hiddenforcespod Follow Demetri on Twitter at @Kofinas Episode Recorded on 05/12/2025

This week, iPhone users started to feel the impact of a stern court order against Apple that requires the company to stop collecting a commission on some app sales. We break down what this means for apps like Kindle and Spotify and why the judge suggested that Apple and a top executive should be investigated for criminal contempt. Then, Karen Hao joins us to discuss her new book about OpenAI and explain why she believes the benefits of using the company's tools do not outweigh the moral costs. And finally, Casey introduces Kevin to a strange new universe of A.I. slop that's racking up millions of likes on TikTok.Guest:Karen Hao, Author of “Empire of AI”Additional Reading:Judge Rebukes Apple and Orders It to Loosen Grip on App StoreBrain Rot Comes for Italy We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Unlock full access to New York Times podcasts and explore everything from politics to pop culture. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify.

When the American company OpenAI released ChatGPT, it was the first time that a lot of people had ever interacted with Generative AI. ChatGPT has become so popular that, for many, it's now synonymous with artificial intelligence.But that may be changing. Earlier this year a Chinese startup called DeepSeek launched its own AI chatbot, sending shockwaves across Silicon Valley. According to DeepSeek, their model – DeepSeek-R1 – is just as powerful as ChatGPT but was developed at a fraction of the cost. In other words, this isn't just a new company, it could be an entirely different approach to building artificial intelligence.To try and understand what DeepSeek means for the future of AI, and for American innovation, I wanted to speak with Karen Hao. Hao was the first reporter to ever write a profile on OpenAI and has covered AI for The MIT Tech Review, The Atlantic and the Wall Street Journal. So she's better positioned than almost anyone to try and make sense of this seemingly monumental shift in the landscape of artificial intelligence.Mentioned:“The messy, secretive reality behind OpenAI's bid to save the world,” by Karen HaoFurther Reading:“DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning,” by DeepSeek-AI and others.“A Comparison of DeepSeek and Other LLMs,” by Tianchen Gao, Jiashun Jin, Zheng Tracy Ke, Gabriel Moryoussef“Technical Report: Analyzing DeepSeek-R1′s Impact on AI Development,” by Azizi Othman

It's time to get real about AI. The conversations around artificial intelligence and AGI is rife with both hype and negativity — so where does the truth lie? Award-winning journalist Karen Hao joins David Rothkopf to discuss the real implications of artificial intelligence and why we need to take a hard look at the players driving innovation.  This material is distributed by TRG Advisory Services, LLC on behalf of the Embassy of the United Arab Emirates in the U.S.. Additional information is available at the Department of Justice, Washington, DC. Learn more about your ad choices. Visit megaphone.fm/adchoices

It's time to get real about AI. The conversations around artificial intelligence and AGI is rife with both hype and negativity — so where does the truth lie? Award-winning journalist Karen Hao joins David Rothkopf to discuss the real implications of artificial intelligence and why we need to take a hard look at the players driving innovation.  This material is distributed by TRG Advisory Services, LLC on behalf of the Embassy of the United Arab Emirates in the U.S.. Additional information is available at the Department of Justice, Washington, DC. Learn more about your ad choices. Visit megaphone.fm/adchoices

When Chinese AI company DeepSeek announced they had built a model that could compete with OpenAI at a fraction of the cost, it sent shockwaves through the industry and roiled global markets. But amid all the noise around DeepSeek, there was a clear signal: machine reasoning is here and it's transforming AI.In this episode, Aza sits down with CHT co-founder Randy Fernando to explore what happens when AI moves beyond pattern matching to actual reasoning. They unpack how these new models can not only learn from human knowledge but discover entirely new strategies we've never seen before – bringing unprecedented problem-solving potential but also unpredictable risks.These capabilities are a step toward a critical threshold - when AI can accelerate its own development. With major labs racing to build self-improving systems, the crucial question isn't how fast we can go, but where we're trying to get to. How do we ensure this transformative technology serves human flourishing rather than undermining it?Your Undivided Attention is produced by the Center for Humane Technology. Follow us on Twitter: @HumaneTech_Clarification: In making the point that reasoning models excel at tasks for which there is a right or wrong answer, Randy referred to Chess, Go, and Starcraft as examples of games where a reasoning model would do well. However, this is only true on the basis of individual decisions within those games. None of these games have been “solved” in the the game theory sense.Correction: Aza mispronounced the name of the Go champion Lee Sedol, who was bested by Move 37.RECOMMENDED MEDIAFurther reading on DeepSeek's R1 and the market reaction Further reading on the debate about the actual cost of DeepSeek's R1 model  The study that found training AIs to code also made them better writers More information on the AI coding company Cursor Further reading on Eric Schmidt's threshold to “pull the plug” on AI Further reading on Move 37RECOMMENDED YUA EPISODESThe Self-Preserving Machine: Why AI Learns to Deceive This Moment in AI: How We Got Here and Where We're Going Former OpenAI Engineer William Saunders on Silence, Safety, and the Right to Warn The AI ‘Race': China vs. the US with Jeffrey Ding and Karen Hao 

China's gamechanging A.I. “DeepSeek” came out of nowhere to grab headlines and in turn rock financial markets. The release of the free app triggered a sharp reaction, wiping out a trillion dollars in value from major U.S. based A.I. firms. – and raising questions over America's dominance in the realm of artificial intelligence. Is this a sign of an industry in flux, or the beginning of a major shift? Alex von Tunzelmann is joined by tech journalist Karen Hao to examine the implications of DeepSeek's rise. • Go to proton.me/thebunker to receive a 38% discount on Proton Mail • We are sponsored by Indeed. Go to Indeed.com/bunker for £100 sponsored credit.   www.patreon.com/bunkercast  Written and presented by Alex von Tunzelmann. Producer: Liam Tait. Audio editors: Robin Leeburn. Managing editor: Jacob Jarvis. Music by Kenny Dickinson. Group Editor: Andrew Harrison. THE BUNKER is a Podmasters Production. Instagram | Twitter Learn more about your ad choices. Visit podcastchoices.com/adchoices

China's DeepSeek has done what it does best, it's made a better copy of an American product. Deepseek has disrupted the markets this week and is almost outperforming OpenAI while spending as little as one hundredth of the cost. In a world where Silicon Valley has long operated under a “winner takes all” model, DeepSeek's breakthrough proves that sheer financial power is no longer the defining factor in technological supremacy. It's more than a story about AI, it's about geopolitics, economic power shifts, and how constraints fuel innovation. As the U.S. scrambles to maintain dominance, pouring billions into AI infrastructure and tightening restrictions on China, has it inadvertently made its biggest competitor stronger? What does this mean for Nvidia, OpenAI, and the entire American tech ecosystem? And if AI can now be built cheaper and faster, why are U.S. companies still demanding more money, more energy, and more control? Join the gang! https://plus.acast.com/s/the-david-mcwilliams-podcast. Hosted on Acast. See acast.com/privacy for more information.

Hello!Today we have on repeat guest Karen Hao, a journalist who writes for the Atlantic and has been one of the sharpest minds on OpenAI and this emerging industry. We talk about DeepSeek, the Chinese AI model that deleted over a trillion dollars out of the NASDAQ and temporarily tanked NVIDIA's seemingly unstoppable growth and how it might change the way American banks, government, and users think about Sam Altman and his mandate of “scale, scale, scale.” Enjoy! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit goodbye.substack.com/subscribe

We've spoken about the energy required to run data centres in the past and how AI will drive that energy demand through the roof. But the sudden arrival of DeepSeek from China seems to suggest that you might not need the type of scale that the US technology giants have been advocating. Indeed Deepseek has suddenly forced investors and engineers to think again about how AI can and should work. Karen Hao used to write for the WSJ and The Atlantic and was the first to profile OpenAI before the rest of us had heard of it. Joe spoke to Karen on the show and began by asking her about these externalities associated with AI.

If Chinese AI startup DeepSeek's efficiency and performance achievements stand up to scrutiny, it could have big implications for the AI race. It could call into question the strategic approach that the biggest US firms appear to be taking and the wisdom of the current American policy approach to AI. To discuss these issues, Justin Hendrix spoke to Karen Hao,  a reporter who covers AI. In recent years, she's reported on China and tech for the Wall Street Journal, written about AI for The Atlantic, and run a program for the Pulitzer Center  to teach other journalists how to report on AI. Hao has a book about OpenAI, the AI industry, and its global impacts that will be released later this year.

Artificial intelligence, according to its boosters, could help us unlock solutions to some of the world’s toughest problems, like climate change. But in the meantime, it’s become a key tool for fossil fuel companies like Exxon Mobil and Chevron to maximize the extraction of emissions-producing oil and gas. Marketplace's Meghan McCarty Carino spoke to freelance reporter Karen Hao, who recently wrote in The Atlantic about how Microsoft has actively courted the fossil fuel industry.

Artificial intelligence, according to its boosters, could help us unlock solutions to some of the world’s toughest problems, like climate change. But in the meantime, it’s become a key tool for fossil fuel companies like Exxon Mobil and Chevron to maximize the extraction of emissions-producing oil and gas. Marketplace's Meghan McCarty Carino spoke to freelance reporter Karen Hao, who recently wrote in The Atlantic about how Microsoft has actively courted the fossil fuel industry.

Artificial intelligence, according to its boosters, could help us unlock solutions to some of the world’s toughest problems, like climate change. But in the meantime, it’s become a key tool for fossil fuel companies like Exxon Mobil and Chevron to maximize the extraction of emissions-producing oil and gas. Marketplace's Meghan McCarty Carino spoke to freelance reporter Karen Hao, who recently wrote in The Atlantic about how Microsoft has actively courted the fossil fuel industry.

As AI models grow larger and more powerful, they promise incredible capabilities — but at what cost? Karen Hao is a journalist and former engineer who writes about the impact of artificial intelligence on society for The Atlantic and other top publications. On this episode of CRAFTED., we discuss whether the largest AI models are worth their hefty footprint: They consume massive amounts of electricity and water and Karen argues that smaller models better balance cost vs. benefit. Karen will also provide a view of AI from outside — far outside — Silicon Valley. She's reported on AI from across the Global South and we'll hear about the fight over data centers in Chile, how New Zealand's Maori people are using AI to preserve their indigenous language, and why it's a problem that AI can speak any language, but can only really be policed in a few.Key Moments:(01:51) - - The view of AI from the Global South (04:08) - - Data centers are thirsty and their benefit is unclear to locals in Chile (and elsewhere) (09:16) - - GenAI is English-first: Why it's not as safe in other languages (12:12) - - Why some activists call AI a new form of “colonialism” (14:50) - - Indigenous communities innovating with AI (17:46) - - The case for smaller AI models (19:40) - - Why open source AI is so important (25:09) - - AI and the environmental impact: Karen's reporting on Microsoft's “hypocrisy” (28:40) - - Are big AI models worth the cost? (34:56) - - How Karen trains journalists to cover AI Where to find Karen:Website: https://karendhao.com/X: https://x.com/_KarenHaoLinkedIn: https://www.linkedin.com/in/karendhao/Threads: https://www.threads.net/@_karenhaoArticles Mentioned:Microsoft's Hypocrisy on AI (The Atlantic) A new vision of artificial intelligence for the people (MIT Technology Review)AI Is Taking Water From the Desert (The Atlantic)Where to find Dan Blumberg:Website & newsletter: https://www.crafted.fm LinkedIn: https://www.linkedin.com/in/dblums/X: https://x.com/dblumsCRAFTED. is produced by Modern Product Minds, where CRAFTED. host Dan Blumberg and team can help you take a new product from zero to one... and beyond. We specialize in early stage product discovery, growth, and experimentation. Learn more at modernproductminds.com Subscribe to CRAFTED., follow the show, and sign up for the newsletter

Over the last few years, a growing number of scholars have argued that the impact of AI is repeating the patterns of colonial history. If European colonialism was characterized by the violent capture of land, extraction of resources, and exploitation of people for the economic enrichment of the conquering country, the AI industry is now using more insidious means to capture our behaviors, extract our data, and exploit our labor for enriching the wealthy and powerful at the great expense of the poor.Award-winning journalist Karen Hao looks in-depth at just one dimension of this AI colonialism: the labor exploitation. The AI industry has long thrived off of a model of building billion-dollar products off of a vast economically precarious workforce. Now it is refining its playbook, seeking out workers in countries of crisis to drive down their labor costs even more.Brought to you by the Lucy Family Institute for Data & Society and the Notre Dame Alumni Association.Thanks for listening! The ThinkND Podcast is brought to you by ThinkND, the University of Notre Dame's online learning community. We connect you with videos, podcasts, articles, courses, and other resources to inspire minds and spark conversations on topics that matter to you — everything from faith and politics, to science, technology, and your career. Learn more about ThinkND and register for upcoming live events at think.nd.edu. Join our LinkedIn community for updates, episode clips, and more.

We hear words like “safety” and “transparency” thrown around in the artificial intelligence industry, but they don’t always mean the same things to a tech insider that they do to the rest of us. Luckily, tech journalist Karen Hao wrote a helpful glossary of 50 AI ethics terms to help us make sense of what tech leaders really mean by the words they use. Marketplace’s Meghan McCarty Carino spoke with her about some of the double meanings on her list.

We hear words like “safety” and “transparency” thrown around in the artificial intelligence industry, but they don’t always mean the same things to a tech insider that they do to the rest of us. Luckily, tech journalist Karen Hao wrote a helpful glossary of 50 AI ethics terms to help us make sense of what tech leaders really mean by the words they use. Marketplace’s Meghan McCarty Carino spoke with her about some of the double meanings on her list.

Award-winning AI journalist Karen Hao joins Alex and Emily to talk about why LLMs can't possibly replace the work of reporters -- and why the hype is damaging to already-struggling and necessary publications.References:Adweek: Google Is Paying Publishers to Test an Unreleased Gen AI PlatformThe Quint: AI Invents Quote From Real Person in Article by Bihar News Site: A Wake-Up Call?Fresh AI Hell:Alliance for the FutureVentureBeat: Google researchers unveil ‘VLOGGER', an AI that can bring still photos to lifeBusiness Insider: A car dealership added an AI chatbot to its site. Then all hell broke loose.More pranks on chatbotsYou can check out future livestreams at https://twitch.tv/DAIR_Institute. Follow us!Emily Twitter: https://twitter.com/EmilyMBender Mastodon: https://dair-community.social/@EmilyMBender Bluesky: https://bsky.app/profile/emilymbender.bsky.social Alex Twitter: https://twitter.com/@alexhanna Mastodon: https://dair-community.social/@alex Bluesky: https://bsky.app/profile/alexhanna.bsky.social Music by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Christie Taylor.

Hello!Today, we talk to two people who have been thinking about reporting about AI for quite a long time: Repeat guest Ben Recht, a professor of electrical engineering and computer science at Berkeley and Karen Hao, a journalist who has written an excellent series of pieces for the Atlantic. We talk to Ben about SORA, OpenAI's video generator that only exists in trailer form so far and what might happen if it's actually good. (We don't think it'll be good. At least yet.) And then we talk some philosophy. There's also a surprise at the start of the show. And then we talk to Karen about the massive amount of water and energy that AI might consume in the near future and why everyone seems to want massive, cumbersome and expense-heavy giant tools and not the smaller, more streamlined tools that might actually create something of use. Links: SORA announcementKaren's articles on AI for the MIT Technology Review (really good)…and her more recent (also really good) work for the Atlantic. thank you! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit goodbye.substack.com/subscribe

Artificial intelligence is increasingly impacting all of our lives. Proponents say the technology has the potential to cure diseases, reduce hunger and free up leisure time by improving productivity. But others worry it will destroy our privacy, undermine our democracies and increase inequality. So, how can we ensure AI delivers the maximum benefits while protecting our individual rights? The European Union is leading the way in attempts to regulate the emerging technology and hopes its AI Act will serve as a blueprint for others. What is the future of AI and how can we make sure it works for us, not against us? Shaun Ley is joined by a panel of expert guests.Scott Niekum - Associate Professor and director of SCALAR, the Safe, Confident, and Aligned Learning & Robotics Lab in the College of Information and Computer Sciences at The University of Massachusetts, Amherst. Karen Hao - a journalist and data scientist who writes about Artificial Intelligence for the US magazine, The Atlantic.Professor Philip Torr - a specialist on AI at the University of Oxford. He's a fellow of both the UK's national academy of sciences, The Royal Society and the Royal Academy of Engineering. Also in the programme:Dragoș Tudorache - a member of the European Parliament involved in crafting the EU's AI ActImage: People attend the launch event of the first commercial application of artificial intelligence for the mining industry in Jinan, Shandong province, China, 18 July 2023. Credit: Mark R Cristino / EPA-EFE / REX / Shutterstock

Recently, OpenAI CEO Sam Altman was ousted and then reinstated in a matter of days. No explanation has been made public, which is unsettling considering just how quickly OpenAI, ChatGPT, and DALL·E have become household names. What's actually happening behind closed doors at OpenAI? Adam is joined by tech journalist Karen Hao to discuss the history of this massively influential company, how they've struggled with the identity of being a non-profit, and how the future of AI is ultimately at the mercy of the capitalist forces that drive it.SUPPORT THE SHOW ON PATREON: https://www.patreon.com/adamconoverSEE ADAM ON TOUR: https://www.adamconover.net/tourdates/SUBSCRIBE to and RATE Factually! on:» Apple Podcasts: https://podcasts.apple.com/us/podcast/factually-with-adam-conover/id1463460577» Spotify: https://open.spotify.com/show/0fK8WJw4ffMc2NWydBlDyJAbout Headgum: Headgum is an LA & NY-based podcast network creating premium podcasts with the funniest, most engaging voices in comedy to achieve one goal: Making our audience and ourselves laugh. Listen to our shows at https://www.headgum.com.» SUBSCRIBE to Headgum: https://www.youtube.com/c/HeadGum?sub_confirmation=1» FOLLOW us on Twitter: http://twitter.com/headgum» FOLLOW us on Instagram: https://instagram.com/headgum/» FOLLOW us on TikTok: https://www.tiktok.com/@headgum» Advertise on Factually! via Gumball.fmSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI blew up in 2023. But will it blow us up in 2024? AI experts Karen Hao and Paul Scharre join David and Jon to look ahead at how AI will evolve in 2024, where the leaders in the field will expand, and potential changes and opportunities. Learn more about your ad choices. Visit megaphone.fm/adchoices

The upheaval at OpenAI sent shockwaves through the tech world. Karen Hao, a contributing writer who covers AI at The Atlantic, joins Azeem Azhar to break down the ideologies and power struggles within OpenAI and their implications for the development of artificial intelligence. She also explains how these internal conflicts reflect broader challenges in AI development and governance.

This week, Emily Bazelon, John Dickerson, and David Plotz discuss the problems with issue polling and issues with political journalism; the chaos and conflict of Sam Altman and OpenAI; and the failure of the Oslo Accords and perpetual struggle between Israel and Palestine. Send us your Conundrums: submit them at slate.com/conundrum. And join us in-person or online with our special guest – The Late Show's Steven Colbert – for Gabfest Live: The Conundrums Edition! December 7 at The 92nd Street Y, New York City. Tickets on sale now!   Here are some notes and references from this week's show: Nate Cohn for The New York Times: The Crisis in Issue Polling, and What We're Doing About It and We Did an Experiment to See How Much Democracy and Abortion Matter to Voters Claire Cain Miller and Francesca Paris for The New York Times: The Great Disconnect: Why Voters Feel One Way About the Economy but Act Differently The Image: A Guide to Pseudo-Events in America by Daniel J. Boorstin What's the Matter with Kansas?: How Conservatives Won the Heart of America by Thomas Frank Eli Saslow for The New York Times: A Jan. 6 Defendant Pleads His Case to the Son Who Turned Him In Brian Beutler for the Off Message newsletter: The 2024 Election Is About Real Things Charlie Warzel for The Atlantic: The Money Always Wins and Karen Hao and Charlie Warzel: Inside the Chaos at OpenAI John Dickerson and Jo Ling Kent for CBS News Prime Time: What Sam Altman's ouster from OpenAI could mean for the tech world Pranshu Verman, Nitasha Tiku, and Gerrit De Vynck for The Washington Post: Sam Altman reinstated as OpenAI CEO with new board members  Louise Matsakis and Reed Albergotti for Semafor: The AI industry turns against its favorite philosophy Emily Bazelon for The New York Times Magazine: Was Peace Ever Possible?  Ezra Klein for The New York Times's The Ezra Klein Show podcast: The Best Primer I've Heard on Israeli-Palestinian Peace Efforts Oslo on HBO John Dickerson for CBS Mornings: Former President Jimmy Carter: “America will learn from its mistakes” The Lady Bird Diaries on Hulu Eleanor Roosevelt in a Coal by Bettman and The George Washington University's Case Study: Eleanor Roosevelt's Visit to Coal Mine (1935)   Here are this week's chatters: John: Julia Simon for NPR: ‘It feels like I'm not crazy.' Gardeners aren't surprised as USDA updates key map and U.S. Department of Agriculture, Agricultural Research Service: USDA Unveils Updated Plant Hardiness Zone Map Emily: Liran Samuni and Martin Surbeck in Science: Cooperation across social borders in bonobos and The Bonobo Sisterhood: Revolution Through Female Alliance by Diane Rosenfeld  David: City Cast Executive Producer, Nashville, Executive Producer, Austin, and Events Director, remote and The National WWII Museum: WWII Veteran Statistics  Listener chatter from Dimitri in Boulder, Colorado: University of Evansville: Library of Congress Recognizes Plagiarized University of Evansville Archaeologist After 90 Years and Jessica Blake for Inside Higher Ed: Female Archaeologist's Work Receives Overdue Recognition—90 Years Later   For this week's Slate Plus bonus segment, David, John, and Emily talk about the death of former First Lady Rosalynn Carter and her 77-year marriage with Jimmy Carter. See also Rick Rojas for The New York Times: The Carters' Hometown Mourns for the Love of a Lifetime and Peter Baker: Rosalynn Carter Helped Shape the Role of the Modern First Lady. In the latest Gabfest Reads, Emily talks with James Sturm about Watership Down: The Graphic Novel. See also James Sturm and Joe Sutphin in The New York Times: In Times of Danger, There's Strength in Numbers.   Email your chatters, questions, and comments to gabfest@slate.com. (Messages may be referenced by name unless the writer stipulates otherwise.)   Podcast production by Cheyna Roth  Research by Julie Huygen Learn more about your ad choices. Visit megaphone.fm/adchoices

This week, Emily Bazelon, John Dickerson, and David Plotz discuss the problems with issue polling and issues with political journalism; the chaos and conflict of Sam Altman and OpenAI; and the failure of the Oslo Accords and perpetual struggle between Israel and Palestine. Send us your Conundrums: submit them at slate.com/conundrum. And join us in-person or online with our special guest – The Late Show's Steven Colbert – for Gabfest Live: The Conundrums Edition! December 7 at The 92nd Street Y, New York City. Tickets on sale now!   Here are some notes and references from this week's show: Nate Cohn for The New York Times: The Crisis in Issue Polling, and What We're Doing About It and We Did an Experiment to See How Much Democracy and Abortion Matter to Voters Claire Cain Miller and Francesca Paris for The New York Times: The Great Disconnect: Why Voters Feel One Way About the Economy but Act Differently The Image: A Guide to Pseudo-Events in America by Daniel J. Boorstin What's the Matter with Kansas?: How Conservatives Won the Heart of America by Thomas Frank Eli Saslow for The New York Times: A Jan. 6 Defendant Pleads His Case to the Son Who Turned Him In Brian Beutler for the Off Message newsletter: The 2024 Election Is About Real Things Charlie Warzel for The Atlantic: The Money Always Wins and Karen Hao and Charlie Warzel: Inside the Chaos at OpenAI John Dickerson and Jo Ling Kent for CBS News Prime Time: What Sam Altman's ouster from OpenAI could mean for the tech world Pranshu Verman, Nitasha Tiku, and Gerrit De Vynck for The Washington Post: Sam Altman reinstated as OpenAI CEO with new board members  Louise Matsakis and Reed Albergotti for Semafor: The AI industry turns against its favorite philosophy Emily Bazelon for The New York Times Magazine: Was Peace Ever Possible?  Ezra Klein for The New York Times's The Ezra Klein Show podcast: The Best Primer I've Heard on Israeli-Palestinian Peace Efforts Oslo on HBO John Dickerson for CBS Mornings: Former President Jimmy Carter: “America will learn from its mistakes” The Lady Bird Diaries on Hulu Eleanor Roosevelt in a Coal by Bettman and The George Washington University's Case Study: Eleanor Roosevelt's Visit to Coal Mine (1935)   Here are this week's chatters: John: Julia Simon for NPR: ‘It feels like I'm not crazy.' Gardeners aren't surprised as USDA updates key map and U.S. Department of Agriculture, Agricultural Research Service: USDA Unveils Updated Plant Hardiness Zone Map Emily: Liran Samuni and Martin Surbeck in Science: Cooperation across social borders in bonobos and The Bonobo Sisterhood: Revolution Through Female Alliance by Diane Rosenfeld  David: City Cast Executive Producer, Nashville, Executive Producer, Austin, and Events Director, remote and The National WWII Museum: WWII Veteran Statistics  Listener chatter from Dimitri in Boulder, Colorado: University of Evansville: Library of Congress Recognizes Plagiarized University of Evansville Archaeologist After 90 Years and Jessica Blake for Inside Higher Ed: Female Archaeologist's Work Receives Overdue Recognition—90 Years Later   For this week's Slate Plus bonus segment, David, John, and Emily talk about the death of former First Lady Rosalynn Carter and her 77-year marriage with Jimmy Carter. See also Rick Rojas for The New York Times: The Carters' Hometown Mourns for the Love of a Lifetime and Peter Baker: Rosalynn Carter Helped Shape the Role of the Modern First Lady. In the latest Gabfest Reads, Emily talks with James Sturm about Watership Down: The Graphic Novel. See also James Sturm and Joe Sutphin in The New York Times: In Times of Danger, There's Strength in Numbers.   Email your chatters, questions, and comments to gabfest@slate.com. (Messages may be referenced by name unless the writer stipulates otherwise.)   Podcast production by Cheyna Roth  Research by Julie Huygen Learn more about your ad choices. Visit megaphone.fm/adchoices

This week, Emily Bazelon, John Dickerson, and David Plotz discuss the problems with issue polling and issues with political journalism; the chaos and conflict of Sam Altman and OpenAI; and the failure of the Oslo Accords and perpetual struggle between Israel and Palestine. Send us your Conundrums: submit them at slate.com/conundrum. And join us in-person or online with our special guest – The Late Show's Steven Colbert – for Gabfest Live: The Conundrums Edition! December 7 at The 92nd Street Y, New York City. Tickets on sale now!   Here are some notes and references from this week's show: Nate Cohn for The New York Times: The Crisis in Issue Polling, and What We're Doing About It and We Did an Experiment to See How Much Democracy and Abortion Matter to Voters Claire Cain Miller and Francesca Paris for The New York Times: The Great Disconnect: Why Voters Feel One Way About the Economy but Act Differently The Image: A Guide to Pseudo-Events in America by Daniel J. Boorstin What's the Matter with Kansas?: How Conservatives Won the Heart of America by Thomas Frank Eli Saslow for The New York Times: A Jan. 6 Defendant Pleads His Case to the Son Who Turned Him In Brian Beutler for the Off Message newsletter: The 2024 Election Is About Real Things Charlie Warzel for The Atlantic: The Money Always Wins and Karen Hao and Charlie Warzel: Inside the Chaos at OpenAI John Dickerson and Jo Ling Kent for CBS News Prime Time: What Sam Altman's ouster from OpenAI could mean for the tech world Pranshu Verman, Nitasha Tiku, and Gerrit De Vynck for The Washington Post: Sam Altman reinstated as OpenAI CEO with new board members  Louise Matsakis and Reed Albergotti for Semafor: The AI industry turns against its favorite philosophy Emily Bazelon for The New York Times Magazine: Was Peace Ever Possible?  Ezra Klein for The New York Times's The Ezra Klein Show podcast: The Best Primer I've Heard on Israeli-Palestinian Peace Efforts Oslo on HBO John Dickerson for CBS Mornings: Former President Jimmy Carter: “America will learn from its mistakes” The Lady Bird Diaries on Hulu Eleanor Roosevelt in a Coal by Bettman and The George Washington University's Case Study: Eleanor Roosevelt's Visit to Coal Mine (1935)   Here are this week's chatters: John: Julia Simon for NPR: ‘It feels like I'm not crazy.' Gardeners aren't surprised as USDA updates key map and U.S. Department of Agriculture, Agricultural Research Service: USDA Unveils Updated Plant Hardiness Zone Map Emily: Liran Samuni and Martin Surbeck in Science: Cooperation across social borders in bonobos and The Bonobo Sisterhood: Revolution Through Female Alliance by Diane Rosenfeld  David: City Cast Executive Producer, Nashville, Executive Producer, Austin, and Events Director, remote and The National WWII Museum: WWII Veteran Statistics  Listener chatter from Dimitri in Boulder, Colorado: University of Evansville: Library of Congress Recognizes Plagiarized University of Evansville Archaeologist After 90 Years and Jessica Blake for Inside Higher Ed: Female Archaeologist's Work Receives Overdue Recognition—90 Years Later   For this week's Slate Plus bonus segment, David, John, and Emily talk about the death of former First Lady Rosalynn Carter and her 77-year marriage with Jimmy Carter. See also Rick Rojas for The New York Times: The Carters' Hometown Mourns for the Love of a Lifetime and Peter Baker: Rosalynn Carter Helped Shape the Role of the Modern First Lady. In the latest Gabfest Reads, Emily talks with James Sturm about Watership Down: The Graphic Novel. See also James Sturm and Joe Sutphin in The New York Times: In Times of Danger, There's Strength in Numbers.   Email your chatters, questions, and comments to gabfest@slate.com. (Messages may be referenced by name unless the writer stipulates otherwise.)   Podcast production by Cheyna Roth  Research by Julie Huygen Learn more about your ad choices. Visit megaphone.fm/adchoices

Today's episode is about whatever the hell just happened—is still happening—at OpenAI, where CEO Sam Altman has been fired, almost rehired, and then shipped off to Microsoft, while the most famous startup in artificial intelligence self-immolates for reasons that the company refuses to explain. Our panel has some theories. Charlie Warzel is a staff writer at The Atlantic who has been texting and talking with OpenAI employees for the last few days. Karen Hao is a contributing writer at The Atlantic who is writing a book about OpenAI and knows many of the main characters from this past weekend. Ross Andersen is a staff writer at The Atlantic who wrote a big magazine feature on Sam Altman, OpenAI, and the messy quest to build artificial general intelligence. If you have questions, observations, or ideas for future episodes, email us at PlainEnglish@Spotify.com.  Host: Derek Thompson Guests: Ross Andersen, Karen Hao & Charlie Warzel  Producer: Devon Manze Learn more about your ad choices. Visit podcastchoices.com/adchoices

The Biden administration's new executive order is a significant step to regulate AI in the US. With a pressing need for increased governmental oversight of AI development, David Sanger and Karen Hao join David Rothkopf to discuss whether the order is a good start or falls short and what the administration needs to do next to rein in AI. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week on Sinica, Kaiser is joined by Karen Hao, a reporter recently with the Wall Street Journal whose previous work with the MIT Technology Review has been featured on Sinica; and by Deborah Seligsohn, assistant professor of political science at Villanova University, who has been on the show many times just in the last three years. Both Karen and Deborah have written persuasively about the importance of renewing the U.S.-China Science and Technology Agreement, first signed in 1979 shortly after the normalization of U.S.-China relations under Jimmy Carter and renewed, for the most part, every five years without much fuss — until this year. Karen and Debbi make clear what has been accomplished under the agreement's auspices, and why GOP concerns are largely misplaced.03:45 – The origins of the STA and the reasons for establishing it07:34 – Criticisms against the agreement — the question of IP theft and PLA's engagement17:53 – What is the real reason behind such a strong opposition towards the agreement?22:23 – How have the dynamics between China and the U.S. contribution to the STA changed over the years?30:36 – The consequences of ending the scientific relationship with China on the example of the terminated space exploration cooperation 35:23 – Which specific projects would be put on hold in case of lack of renewal of scientific cooperation with China?41:23 – Other scenarios for cooperation in the area of AI in the possible absence of the STA50:10 – Are there parts of the agreement that should be enhanced or improved?53:50 – What's the chance for a renewal of the agreement after the six-month extension?A complete transcript of this podcast is available at TheChinaProject.comRecommendations:Debbi: Abortion Opponents Are Targeting a Signature G.O.P. Public-Health Initiative by Peter Slevin (in The New Yorker)Karen: Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity by Daren Acemoglu and Simon JohnsonKaiser: King's War (Chinese TV series 《楚汉传奇》Chǔhàn chuánqí on NetflixSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we're unpacking AI. Julio is joined by Karen Hao, contributing writer for The Atlantic focusing on AI, to talk about the human impact of the rapidly evolving technology and what it means to decolonize AI.  ITT Staff Picks:  Rebecca Tan and Regine Cabato report on the “digital sweatshops” across the Global South, where workers have to sort and label data for AI models, in this article for the Washington Post.  “Many creative types are wrestling with the credit conundrum and questions around copyright when it comes to making use of content that has been trained on original illustrations, graphics, and written material,” writes Ko Bragg, in this article for The Markup. Prosecutors from across the US are asking lawmakers to create a commission to study the impacts of AI on child exploitation, reports Meg Kinnard for The Associated Press. Photo credit: AP Photo/Richard Drew

In the debate over slowing down AI, we often hear the same argument against regulation.   “What about China? We can't let China get ahead.” To dig into the nuances of this argument, Tristan and Aza speak with academic researcher Jeffrey Ding and journalist Karen Hao, who take us through what's really happening in Chinese AI development. They address China's advantages and limitations, what risks are overblown, and what, in this multi-national competition, is at stake as we imagine the best possible future for everyone.RECOMMENDED MEDIA Recent Trends in China's Large Language Model Landscape by Jeffrey Ding and Jenny W. XiaoThis study covers a sample of 26 large-scale pre-trained AI models developed in ChinaThe diffusion deficit in scientific and technological power: re-assessing China's rise by Jeffrey DingThis paper argues for placing a greater weight on a state's capacity to diffuse, or widely adopt, innovationsThe U.S. Is Turning Away From Its Biggest Scientific Partner at a Precarious Time by Karen Hao and Sha HuaU.S. moves to cut research ties with China over security concerns threaten American progress in critical areasWhy China Has Not Caught Up Yet: Military-Technological Superiority and the Limits of Imitation, Reverse Engineering, and Cyber Espionage by Andrea Gilli and Mauro GilliMilitary technology has grown so complex that it's hard to imitateRECOMMENDED YUA EPISODES The Three Rules of Humane TechA Fresh Take on Tech in China with Rui Ma and Duncan ClarkDigital Democracy is Within Reach with Audrey TangYour Undivided Attention is produced by the Center for Humane Technology. Follow us on Twitter: @HumaneTech_

A.M. Edition for Aug. 11. The final installment in our four-part series on China: “The State of Xi's Chinese Dream.” Wall Street Journal tech reporter Karen Hao details China's quest to catch up to Western chipmakers and become a global AI leader. Plus, California regulators have given a green light to driverless cars in San Francisco. And WSJ Heard On the Street columnist Jinjoo Lee explains why slipping diamond prices could lead to a bounce in engagement ring demand. Subscribe to the WSJ to access exclusive audio content on Spotify. Luke Vargas hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

Generative AI programs rely on human workers to train them to filter out harmful content, including violent and sexual material. WSJ reporter Karen Hao traveled to Kenya to speak with some quality analysts, who say the work took a toll on their mental well-being. Learn more about your ad choices. Visit megaphone.fm/adchoices

ChatGPT is one of the most successful tech products ever launched. And crucial to that success is a group of largely unknown data workers in Kenya. By reviewing disturbing, grotesque content, often for wages of just two to three dollars an hour, they helped make the viral chatbot safe. WSJ's Karen Hao traveled to Kenya to meet those workers and hear about what the job cost them.  Further Reading: - What Is ChatGPT? What to Know About the AI Chatbot  - The Contradictions of Sam Altman, AI Crusader  Further Listening: - The Company Behind ChatGPT  Learn more about your ad choices. Visit megaphone.fm/adchoices

A.M. Edition for June 28. We are exclusively reporting that the Biden administration is weighing new restrictions on exports of AI chips to China, according to people familiar with the matter. WSJ Asia tech reporter Karen Hao explains how that could affect Beijing. Plus, Russia gains ground in its bid to be China's top oil supplier. And why everyone in South Korea just got younger. Luke Vargas hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices