deep 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 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.

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 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.

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.

Part two of EEVblog's visit to the NASA/CSIRO Canberra Deep Space Communication Complex, showing the control room and how operators contact Voyager 2. It includes live data and spectrum displays.

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.

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.

Engineer Sandy Munro joins an Autoline panel for a 100-minute deep dive on Tesla's design and manufacturing, including the Model 3 and its motors.

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.

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.

EEVblog interviews Richard Stephenson of NASA's Canberra Deep Space Communications Complex about how the 70m DSS-43 dish is used to contact Voyager 2. It covers the ground antenna and low-noise receiver side of deep space communication. This is a 2023 re-release of a 2017 video.

A TED2014 interview in which Charlie Rose talks with Google CEO Larry Page about the company's long-term vision, including balloons for internet access and the DeepMind acquisition. Page also discusses data sharing and privacy.

A short excerpt from a 1994 interview of Steve Jobs in which he says everything around us was made up by people no smarter than you, and that you can change and shape the world.

A three-minute clip of Jeff Bezos describing his Regret Minimization Framework: imagining yourself at 80 to decide whether to leave a Wall Street job to start Amazon.

A two-minute clip from a 1994 interview with Steve Jobs by the Santa Clara Valley Historical Association. Jobs talks about failure and about how most people never ask for help, recalling that he simply called people to ask.

A short clip of George R.R. Martin asking Stephen King on stage how he writes so fast. King describes setting daily page goals, around six pages a day, and keeping focused hours.

A five-minute clip from Donald Knuth's Web of Stories interviews in which he gives advice to young people, including being wary when too many people adopt an idea.

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.

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.

Lex Fridman interviews legendary chip architect Jim Keller about Moore's Law, microprocessor design, and first-principles thinking. Keller draws on his work at AMD, Apple, Tesla and Intel, discussing instruction sets, transistor budgets, and self-driving.

Rhonda Patrick interviews Salk Institute researcher Satchidananda Panda about circadian rhythms and the timing of food. They cover time-restricted feeding and its links to obesity, muscle mass, heart health, and light exposure.

Rhonda Patrick interviews USC gerontologist Valter Longo about fasting, the fasting-mimicking diet, and their effects on longevity, cancer, and multiple sclerosis. They discuss mechanisms such as IGF-1 and autophagy and clinical trials.

A Channel 9 Going Deep interview in which Brian Beckman talks with Rich Hickey, creator of Clojure, about the language's design. It covers Clojure's persistent data structures, reference types and its approach to concurrency on the JVM.

Nardwuar interviews Pharrell and Shay of N.E.R.D. in Vancouver, using his trademark deep research and gifts. The extended version runs about ten minutes.

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.

Kevin Rose interviews Chris Sacca, founder of Lowercase Capital, for his Foundation series. The conversation covers Sacca's path in venture capital and angel investing, including his early financial ups and downs.

Lex Fridman interviews Marcus Hutter of DeepMind about universal artificial intelligence, AIXI, Kolmogorov complexity, Solomonoff induction and the idea of intelligence as compression.

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.

A clip of Sandy Munro, a veteran automotive engineer, describing his visit to a SpaceX Starship design review and meeting Elon Musk. He says he was struck by how deeply Musk is involved in engineering.

A two-minute 1981 interview clip in which Richard Feynman answers an artist friend who claims science takes the beauty out of a flower. Feynman argues that understanding adds to beauty and mystery.