Tony Blair – Life of a PM, The Deep State, Lee Kuan Yew, & AI’s 1914 Moment

Dwarkesh Podcast | 26 June 2024 | 0h 52m | Listen Later | Podcasts | Spotify
Interview with Tony Blair discussing what he learned from Lee Kuan Yew, intelligence agencies track record on Iraq & Ukraine, what he tells the dozens of world leaders who seek advice from him, how much of a PM’s time is spent governing, and what AI’s July 1914 moment will look like from inside the Cabinet.

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Patrick Collison – Craft, Beauty, & The Future of Payments

Dwarkesh Podcast | 21 February 2024 | 1h 57m | Listen Later | Podcasts | Spotify
Interview with Patrick Collison discussing what it takes to process $1 trillion/year; how to build multi-decade APIs, companies, and relationships; what’s next for Stripe (increasing the GDP of the internet is quite an open-ended prompt, and the Collison brothers are just getting started); the amazing stuff they’re doing at Arc Institute; the financial infrastructure for AI agents; playing devil’s advocate against progress studies, and more.

See also other episodes with Patrick Collison.

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Tyler Cowen – Hayek, Keynes, & Smith on AI, Animal Spirits, Anarchy, & Growth

Dwarkesh Podcast | 31 January 2024 | 1h 42m | Listen Later | Podcasts | Spotify
Interview with Tyler Cowen about his book GOAT: Who is the Greatest Economist of all Time and Why Does it Matter? Discusses the context of how the insights of Hayek, Keynes, Smith, and other great economists help us make sense of AI, growth, animal spirits, prediction markets, alignment, central planning, and more.

See also Dwarkesh’s Substack, including the post discussed in this episode Will scaling work?

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Jung Chang – Living through Cultural Revolution and the Crimes of Mao

Dwarkesh Podcast | 29 November 2023 | 1h 31m | Listen Later | Podcasts | Spotify
Interview with Jung Chang about her books Wild Swans: Three Daughters of China and Mao: The Unknown Story. Discusses what it was like growing up during the Cultural Revolution as the daughter of a denounced official; why the CCP continues to worship the biggest mass murderer in human history; how exactly communist totalitarianism was able to subjugate a billion people; why Chinese leaders like Xi and Deng who suffered from the Cultural Revolution don’t condemn Mao; and how Mao starved and killed 40 million people during The Great Leap Forward in order to exchange food for Soviet weapons.

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Andrew Roberts – Leading Historian on Warfare from Napoleon to Ukraine

Dwarkesh Podcast | 22 November 2023 | 1h 18m | Listen Later | Podcasts | Spotify
Interview with Andrew Roberts about his books. Discusses Churchill the applied historian; Napoleon the startup founder; why Nazi ideology cost Hitler WW2; drones, reconnaissance, and other aspects of the future of war; Iraq, Afghanistan, Korea, Ukraine, & Taiwan.

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Shane Legg – 2028 AGI, New Architectures, Aligning Superhuman Models

Dwarkesh Podcast | 26 October 2023 | 0h 44m | Listen Later | Podcasts | Spotify
Interview with Shane Legg discussing artificial general intelligence: why he expects AGI around 2028; how to align superhuman models; the new architectures needed for AGI; whether Deepmind has sped up capabilities or safety more; why multimodality will be the next big landmark; and more.

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Dario Amodei (Anthropic CEO) – $10 Billion Models, OpenAI, Scaling, & AGI in 2 years

Dwarkesh Podcast | 8 August 2023 | 1h 59m | Listen Later | Podcasts | Spotify
Interview with Dario Amodei, CEO of Anthropic, about what AI models are doing, why they scale so well, and what it will take to align them. Suggests that the timeline to AI akin to a generally well-educated human could be as short as 2–3 years.

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Carl Shulman – Intelligence Explosion, Primate Evolution, Robot Doublings, & Alignment

The Lunar Society | 14 June 2023 | 2h 44m | Listen Later | Podcasts | Spotify
Interview with Carl Shulman discussing his model of an intelligence explosion, integrating everything from how fast algorithmic progress and hardware improvements in AI are happening; what primate evolution suggests about the scaling hypothesis; how soon before AIs could do large parts of AI research themselves, and whether there would be faster and faster doublings of AI researchers; how quickly robots produced from existing factories could take over the economy; the odds of a takeover based on whether the AI is aligned before the intelligence explosion happens, and why he’s more optimistic than Eliezer Yudkowsky.

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