climate models

A 2015 interview in which physicist Freeman Dyson, then 91, argues that global warming concerns are exaggerated, that CO2 is beneficial and that climate models oversimplify complex systems. It is posted on a channel that opposes climate consensus.

Excerpts from Nick Breeze's 2012 interview with researcher Natalia Shakhova about methane release from the East Siberian Arctic Shelf. She discusses the risk of abrupt methane emissions.

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.

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.

A short excerpt of Elon Musk, interviewed by Kevin Rose, explaining first-principles reasoning with the example of the car versus improving horse carriages. He warns it takes much more mental energy than reasoning by analogy.

Freeman Dyson recounts how Enrico Fermi rejected his team's meson scattering model, noting that it had too many free parameters. It is the source of the quote about fitting an elephant.

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.

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.

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.

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.