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Karen Hao

A reporter recently with the Wall Street Journal whose previous work with the MIT Technology Review has been featured on Sinica

Top 10 podcasts with Karen Hao

Ranked by the Snipd community
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46 snips
Aug 31, 2023 • 46min

The AI ‘Race’: China vs. the US with Jeffrey Ding and Karen Hao

Jeffrey Ding, an academic researcher, and Karen Hao, a journalist, discuss the nuances of China's AI development, including advantages, limitations, and risks. They tackle topics such as China's surveillance and data collection edge, the relationship between Chinese companies and the government, concerns in AI development, challenges of coordination, and the complex AI competition between China and the US. They emphasize the importance of understanding China's progress and the potential for collaboration.
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8 snips
Jan 10, 2024 • 1h 8min

What the Hell Happened at OpenAI with Karen Hao

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.
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5 snips
Nov 23, 2023 • 42min

#157 Karen Hao: Inside OpenAI's Tumultuous Saga

Karen Hao discusses the untold truth behind OpenAI and Sam Altman's drama, exploring controversies, power struggles, and ethical dilemmas. She delves into OpenAI's transition to a for-profit organization and its implications. The podcast also explores Microsoft's investments in OpenAI and their impact on AI adoption. Additionally, it discusses Sam Altman's potential entry into the chip market and clarifies misconceptions about chip companies and AGI skepticism. The concept of existential risk in AI and differing perspectives on it are also explored.
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Mar 6, 2024 • 1h 56min

AI is still a bit disappointing but at least it uses a lot of energy. A talk with Karen Hao and Ben Recht

In this podcast, they discuss the potential impact of AI technology on water and energy consumption, the challenges of creating efficient AI tools, and the current trends in AI development. They also touch on the environmental concerns surrounding AI operations and the importance of transitioning to smaller, more streamlined AI models. Additionally, the speakers explore the complexities of AI reporting, the advancements in AI music generation, and the parallels between human cognition and machine predictions.
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Apr 3, 2024 • 1h 3min

Episode 29: How LLMs Are Breaking the News (feat. Karen Hao), March 25 2024

Award-winning AI journalist Karen Hao discusses the limitations of AI in replacing reporters and the damaging hype surrounding LLMs. The conversation addresses Google's funding of news articles by unreleased LLMs and the impact on struggling publications. They also touch on the exploitative nature of Google's AI program for independent publishers and the challenges faced by aspiring journalists in the changing landscape of journalism.
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Dec 1, 2023 • 33min

What Next TBD: A Moral War for A.I.

Karen Hao, journalist and data scientist, discusses the impact of Chat GPT on the AI industry, the fight for the mission within OpenAI, the board reorganization and power dynamics, AI doomer concerns, industry polarization, and the lack of diversity in the OpenAI board.
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Dec 1, 2023 • 34min

TBD | A Moral War for A.I.

Guest Karen Hao, journalist and data scientist, discusses the impact of Chat GPT on the AI industry and the ideological divide. They also explore the reorganization of the board, the lack of diversity, and the need for transparency and informed decision-making in AI development.
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Dec 1, 2023 • 34min

What Next TBD: A Moral War for A.I.

Karen Hao, journalist and data scientist, discusses the implications of AI technology and OpenAI's impact on the industry. Topics include the contradiction in OpenAI's founding as a nonprofit, power dynamics within the company, industry views on AI safety concerns, and the lack of diversity in OpenAI's board.
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Sep 7, 2023 • 1h 7min

The case for the U.S.-China Science and Technology Agreement

Karen Hao, reporter recently with Wall Street Journal, and Deborah Seligsohn, an assistant professor of political science, discuss the importance of renewing the U.S.-China Science and Technology Agreement. They address concerns about IP theft, explore the consequences of ending scientific collaboration with China, and discuss alternative scenarios for cooperation.
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Mar 8, 2022 • 43min

#10: Karen Hao, MIT Technology Review: Responsible AI

Karen Hao, Senior AI editor at MIT Technology Review, discusses the ethical development of AI, policies of major tech companies, and lessons learned. She emphasizes the importance of responsible AI and its potential for social change. The podcast also covers potential harms of AI, concerns about large language models, advancements in AI technology, and the AlphaFold project.