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10 篇排序
22:32EN → 简体中文
No Priors: AI, Machine Learning, Tech, & Startups· 2025年2月7日播客 · 2 人对谈那 550 万美元只是最后一公里主持 Sarah Guo, Elad Gil在 No Priors 的第 100 期节目里，Sarah Guo 和 Elad Gil 把 DeepSeek 论文上写的成本，与背后真正的算力投入分开来看，然后梳理了 OpenAI 的 Deep Research、星际之门（Stargate），以及他们对 2025 年的押注。
24:22EN
Lex Fridman播客 · 2 人对谈Craftsmanship, First Principles and the Road to Self-Driving: Jim Keller on Working with Elon Musk嘉宾 Jim Keller · 主持 Lex FridmanThe veteran chip architect explains why he thinks autonomous driving is a tractable engineering problem, how Tesla's cost constraints shaped its hardware, and what he took from Musk's way of thinking.
15:01ENLex Fridman播客 · 2 人对谈Deep Learning Is a System 1 Machine: Daniel Kahneman on What AI Still Lacks嘉宾 Daniel Kahneman · 主持 Lex FridmanThe Nobel-winning psychologist tells Lex Fridman how his fast-and-slow thinking framework maps onto deep learning, and why driving among pedestrians may require understanding people.
18:46ENLex Fridman播客Deep Learning Plus One Idea: Ilya Sutskever on Building AGI主持 Lex FridmanIn a May 2020 conversation, Sutskever discusses self-play, simulation, bodies and consciousness, tests of intelligence, and how an AGI might be governed and aligned.
17:40ENLex Fridman播客From AlphaGo Zero to MuZero: How Self-Play Strips Knowledge Out of AI主持 Lex FridmanDeepMind's David Silver explains why removing human knowledge made AlphaZero stronger and more general, and how MuZero extended the idea to worlds with unknown rules.
16:41ENLex Fridman播客AlphaFold 2 and the Protein-Folding Breakthrough: Why Lex Fridman Calls It a Landmark for AI and Biology主持 Lex FridmanA quick explainer on DeepMind's CASP14 result, how protein folding works, how AlphaFold 1 and 2 likely differ, and what the advance could unlock.
23:54ENNo Priors: AI, Machine Learning, Tech, & Startups播客 · 2 人对谈Beyond GPT-7: The Customization Toolkit, Meta's Open Source Bet and the Return of Consumer AI主持 Sarah Guo, Elad GilIn a host-only episode, the No Priors hosts map the six levers for 10x to 100x better AI, explain fine-tuning, RAG and AI feedback, and ask why consumer social is suddenly interesting again.
20:36ENLex Fridman播客Why Simple Theories Win: Marcus Hutter on Occam's Razor, Compression and Kolmogorov Complexity主持 Lex FridmanDeepMind researcher Marcus Hutter explains Solomonoff induction, why compression equals understanding, and how a simple universe can still look rich.
20:50ENLex Fridman播客Glitches as Features: What John Hopfield Says Artificial Neural Networks Are Missing主持 Lex FridmanIn a short conversation with Lex Fridman, physicist and neural-network pioneer John Hopfield compares evolved brains with today's artificial networks and explains why he expects AI to borrow from biology generation after generation.
26:45ENLex Fridman播客 · 2 人对谈Start Small, Build Habits, Pick Your Team: Andrew Ng's Practical Advice for Learning Deep Learning嘉宾 Andrew Ng · 主持 Lex FridmanIn a clip from the Lex Fridman Podcast, Andrew Ng explains how to begin in deep learning, how to study effectively, and how to choose a career path.