machine learning

Dwarkesh Patel interviews Andy Matuschak on how he learns, why memorization matters for understanding, and why most learning tools fail. The conversation also covers handling confusion and the role of tutoring.

A long Machine Learning Street Talk interview with Kenneth Stanley, creator of NEAT and novelty search, about his book on why greatness cannot be planned. They discuss open-endedness, the tyranny of objectives, serendipity and the evolution of ideas.

A 2023 University of Toronto conversation between Geoffrey Hinton and Fei-Fei Li on responsible AI development. They look back at the history of deep learning and ImageNet and discuss the ethics and risks of AI.

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.

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.

Lex Fridman interviews Jeff Hawkins, founder of Numenta and author of On Intelligence, about the Thousand Brains Theory and reverse-engineering the neocortex. They also cover Hierarchical Temporal Memory and brain-inspired AI architectures.

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.

Lex Fridman interviews Chris Lattner, creator of LLVM, Clang and Swift, about compilers, Swift for TensorFlow, TPUs and ML accelerators. The talk covers how hardware and software meet to produce efficient code.

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.

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.

Mike Acton, in a HandmadeCon 2015 interview with Casey Muratori, discusses game engine development, hiring and learning on your own.

A short excerpt from a 1973 Yorkshire TV film in which Richard Feynman explains that knowing the name of something is not the same as knowing it.

A 1985 interview by G. Edward Griffin with former KGB operative Yuri Bezmenov. He describes long-running Soviet efforts at ideological subversion and manipulation of US public opinion.

A BSD Now episode featuring a long interview with Joyent CTO Bryan Cantrill on dtrace, ZFS, pkgsrc, containers and more. It includes his rant on why Linux epoll is flawed and stories from Sun.

A two-minute video of Ira Glass on the creative process, describing the gap between taste and skill when starting out and urging you to keep producing until your work matches your taste.

Sal Khan interviews Elon Musk in a 2013 Khan Academy entrepreneurship series. Musk discusses PayPal, rocket efficiency and reusability, and how he approaches education and learning.