llms

Dwarkesh Patel interviews Richard Sutton, reinforcement learning pioneer, Turing Award winner and author of The Bitter Lesson. Sutton argues LLMs are a dead end because they cannot learn on the job, and that continual learning from experience will require a new architecture.

A 42-minute CBS interview with Geoffrey Hinton at the Vector Institute in 2023, covering the history of neural networks and the present and future of AI. He discusses AGI timelines and whether language models truly understand.

Bloomberg Technology interviews Google engineer Blake Lemoine about the experiments that led him to believe LaMDA was sentient and why he was placed on administrative leave. He also raises concerns about AI ethics at Google.

Yannic Kilcher interviews Emad Mostaque, founder of Stability AI, about the company's funding, its mission, and the release of Stable Diffusion. Topics include access to compute, handling harmful outputs, and avoiding the corrupting influence of profit.

A podcast episode in which GPT-4 red teamer Nathan Labenz describes using the model before release, finding it human-level but not human-like, and discussing its weaknesses and worrying capabilities. It closes with speculation about GPT-5.

Computerphile interviews AI safety researcher Rob Miles about ChatGPT: how it was trained with human feedback, why it tends to produce confident nonsense, and where it may or may not be dangerous.

WSJ's Joanna Stern interviews Apple's Craig Federighi and Greg Joswiak at WWDC 2025 about Siri's delays, AI strategy, the Liquid Glass redesign in iOS 26, iPad versus Mac, and tariffs.

A nearly three-hour Joe Rogan interview with Meta CEO Mark Zuckerberg, covering Meta's products, AI, smart glasses, and his views on culture and company direction. The conversation is wide-ranging and long-form.

A Bankless podcast interview with Paul Christiano of the Alignment Research Center on the AI alignment problem and possible solutions. It also covers his views on how an AI takeover might unfold.

Dwarkesh Patel interviews Google's Jeff Dean and Noam Shazeer about 25 years at the company, from PageRank and MapReduce to the Transformer, mixture of experts and Gemini. They also discuss where AI is heading.

A Ray Summit 2022 keynote fireside chat between OpenAI's Greg Brockman and Anyscale's Robert Nishihara. They discuss how OpenAI's training infrastructure evolved and its use of Ray.

Stripe's John Collison interviews Anthropic CEO Dario Amodei about growth to around $5 billion ARR, model economics, agentic AI and vitalism.

Lex Fridman's long interview with OpenAI CEO Sam Altman about GPT-4, ChatGPT, and the future of AI. Topics include models as reasoning engines, AI risk, and consciousness.

Dwarkesh Patel interviews OpenAI chief scientist Ilya Sutskever on time to AGI, what comes after generative models, data limits, alignment, and competing with Google. The title centers on whether next-token prediction could surpass human intelligence.

Part two of a StrictlyVC interview with OpenAI CEO Sam Altman, focused on AI. He discusses regulation, commodification of AI, Google's reluctance to release its own models, and best- and worst-case futures.

Lex Fridman interviews OpenAI CEO Sam Altman about GPT-4, GPT-5, Sora, the OpenAI board saga, Elon Musk, Ilya Sutskever, power and AGI. The conversation runs nearly two hours.

A short clip of Steve Jobs describing the computer as a bicycle for the mind. He compares human efficiency of travel to what computers do for mental work.

Dwarkesh Patel interviews Andrej Karpathy on why reinforcement learning is flawed, why AGI may blend into steady GDP growth, why self-driving took so long, and the future of education. The conversation runs about two and a half hours.