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90 篇
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4:25:13EN → 简体中文
Lex Fridman· 2026年1月31日播客架构几乎没变,变的是数据、成本和开放权重主持 Lex FridmanNathan Lambert 和 Sebastian Raschka 带 Lex Fridman 回顾了这一年:训练方法和数据集的变化,远大于模型设计的变化。展望 2026 年,争论的焦点似乎是推理成本、智能体,以及真正开放的模型该归谁。模型与训练Scaling LawsOpen-weight models+3
5:15:00EN → 简体中文
Lex Fridman· 2024年11月11日播客 · 2 人对谈Dario Amodei:这部规模化电影他已经看过太多遍嘉宾 Dario Amodei · 主持 Lex FridmanAnthropic 首席执行官给前沿模型的训练成本和 AGI 算了账,随后把话筒交给塑造 Claude 性格、并研究其权重内部结构的人。模型与训练安全与治理Scaling Laws+3
2:47:17EN
Lex Fridman· 2024年3月7日播客 · 2 人对谈If You Want Human-Level AI, Abandon Generative Models嘉宾 Yann Lecun · 主持 Lex FridmanYann LeCun tells Lex Fridman why autoregressive LLMs cannot plan, remember, or understand the physical world — and why open source is the only democratic answer.模型与训练World models通用人工智能+3
4:14:33EN → 简体中文
Lex Fridman· 2023年5月9日播客 · 2 人对谈下一个 Token 算不上证明:Stephen Wolfram 谈 ChatGPT 与计算性真理嘉宾 Stephen Wolfram · 主持 Lex Fridman这是 Stephen Wolfram 第四次与 Lex Fridman 对谈。他先把大语言模型与 Wolfram|Alpha 作对比,然后沿着计算不可约性的思路,从 ChatGPT 讲到观察者、热力学,以及二十世纪物理学的三大理论。模型与训练PhilosophyAI research+3
3:28:47EN
Lex Fridman· 2022年10月29日播客 · 2 人对谈Karpathy Calls Trained Neural Nets Complicated Alien Artifacts嘉宾 Andrej Karpathy · 主持 Lex FridmanOn Lex Fridman's podcast, Andrej Karpathy refuses the brain analogy, walks the Fermi paradox through Nick Lane's chemistry, and treats the Transformer as a general-purpose differentiable computer.模型与训练通用人工智能Autonomous Driving+3
2:10:08EN
Lex Fridman· 2022年7月26日播客 · 2 人对谈Gato Is Only the Beginning嘉宾 Oriol Vinyals · 主持 Lex FridmanDeepMind's Oriol Vinyals talks with Lex Fridman about generalist agents, thrown-away weights, and whether human-level AGI arrives in his lifetime.模型与训练通用人工智能AI research+3
2:10:39EN → 简体中文
Lex Fridman· 2022年7月1日播客 · 2 人对谈Demis Hassabis:先解决智能,再解决其他一切嘉宾 Demis Hassabis · 主持 Lex FridmanDeepMind 首席执行官告诉 Lex Fridman:图灵测试为什么是一份出错的考卷,AlphaFold 如何改写了生物学,以及射电天空的寂静为何暗示我们或许是孤独的。模型与训练AI research通用人工智能+3
2:45:10EN
Lex Fridman· 2022年1月22日播客 · 2 人对谈A Teenager Learns to Drive in Twenty Hours. A Car Still Cannot.嘉宾 Yann Lecun · 主持 Lex FridmanYann LeCun tells Lex Fridman why self-supervised world models are the missing dark matter of intelligence, and why machines are not even at the level of a house cat.模型与训练World modelsComputer Vision+3
2:31:57EN → 简体中文
Lex Fridman· 2021年9月20日播客 · 2 人对谈Jay McClelland 谈思维如何从神经网络中涌现嘉宾 Jay McClelland · 主持 Lex Fridman这位斯坦福大学的认知科学家,与 Lex Fridman 聊了联结主义(connectionism)、反向传播(backpropagation)、David Rumelhart,以及为什么直觉会先发现某些东西,之后逻辑才去证明它。模型与训练机器学习基础Deep Learning+3
2:51:33EN
Lex Fridman· 2021年8月29日播客 · 2 人对谈The Self Is a GPT Prompt: Wojciech Zaremba on Consciousness, Codex, and Fermi's Silence嘉宾 Wojciech Zaremba · 主持 Lex FridmanOpenAI co-founder Wojciech Zaremba tells Lex Fridman he thinks we might be alone in the universe — and that GPT-3, Codex, and a one-handed robot already hint at how intelligence is built.模型与训练编程智能体机器学习基础+3
2:18:29EN
Lex Fridman· 2021年8月8日播客 · 2 人对谈Your Cortex Is 150,000 Brains Voting on a Coffee Cup嘉宾 Jeff Hawkins · 主持 Lex FridmanJeff Hawkins tells Lex Fridman that intelligence is learning a model of the world, the neocortex is tens of thousands of independent maps that vote, and the fastest path to machine intelligence is reverse-engineering that sheet.模型与训练Neuroscience & AI机器学习基础+3
2:30:30EN
Lex Fridman· 2021年7月31日播客 · 2 人对谈The Fallacy of the Successful First Step嘉宾 Ishan Misra · 主持 Lex FridmanBerkeley's Jitendra Malik explains why computer vision still looks easy, why fully autonomous driving is not near, and what children know that today's networks do not.模型与训练Computer VisionMultimodal AI+3
1:56:17EN
Lex Fridman· 2021年4月19日播客 · 2 人对谈If You Reran Earth a Million Times, Would Anything Like Us Appear?嘉宾 Risto Miikkulainen · 主持 Lex FridmanRisto Miikkulainen on neuroevolution, hyena raids, basil that never sleeps, and why variation-plus-selection still finds solutions backpropagation cannot see.模型与训练机器学习基础AI research+3
2:01:07EN
Lex Fridman· 2020年12月12日播客 · 2 人对谈Michael Littman isn’t waiting for a runaway god. He’s watching us.嘉宾 Michael Littman · 主持 Lex FridmanThe Brown reinforcement-learning researcher tells Lex Fridman why accidental superintelligence feels like a 747 assembling itself — and why social media, rote language, and theory of mind worry him more.模型与训练Reinforcement Learning通用人工智能+3
2:10:06EN
Lex Fridman· 2020年8月14日播客 · 2 人对谈You Might Have to Understand the World to Understand the Letter A嘉宾 Dileep George · 主持 Lex FridmanDileep George on recursive cortical networks, why a five-year-old can read any new CAPTCHA, and what the Wright brothers actually learned from birds.模型与训练Neuroscience & AIWorld models+3
1:41:37EN
Lex Fridman· 2020年7月21日播客 · 2 人对谈The Fallacy of the Successful First Step: Jitendra Malik on Why Seeing Still Isn't Solved嘉宾 Jitendra Malik · 主持 Lex FridmanBerkeley's Jitendra Malik tells Lex Fridman why computer vision keeps underestimating itself, why full self-driving still needs cognition, and why vision is the parent of language.模型与训练视觉与视频Autonomous Driving+3
1:37:31EN
Lex Fridman· 2020年7月14日播客 · 2 人对谈The Robot That Brought the Beer Was Being Teleoperated嘉宾 Sergey Levine · 主持 Lex FridmanSergey Levine tells Lex Fridman why hardware is almost closed, why common sense has to be lived, and why offline reinforcement learning is the missing on-ramp from logs to robots that keep getting better.模型与训练RoboticsReinforcement Learning+3
2:00:32EN
Lex Fridman· 2020年7月3日播客 · 2 人对谈Slow Synapses Grow Fast Learners — Warmth Is the Harder Problem嘉宾 Matt Botvinick · 主持 Lex FridmanDeepMind neuroscience director Matt Botvinick tells Lex Fridman how prefrontal cortex, meta-reinforcement learning, and dopamine research meet the human question of what a better life with AI would actually look like.模型与训练Neuroscience & AIReinforcement Learning+3
3:00:18EN → 简体中文
Lex Fridman· 2020年6月13日播客 · 2 人对谈只有模拟才可能有意识嘉宾 Joscha Bach · 主持 Lex Fridman约沙·巴赫(Joscha Bach)对 Lex Fridman 讲,为什么一个神经元什么也感觉不到,为什么存在是默认状态,以及为什么这个正在走向消亡的世界,仍然是这场游戏里最好的一关。模型与训练Consciousness & IntelligencePhilosophy of Mind+3
1:37:28EN
Lex Fridman· 2020年5月8日播客 · 2 人对谈We Are Still Massively Underestimating Deep Learning嘉宾 Ilya Sutskever · 主持 Lex FridmanIlya Sutskever tells Lex Fridman why 2012 was about conviction, why bigger models can get worse before they get better, and what he would do with an AGI.模型与训练Deep Learning机器学习基础+3
1:48:01EN
Lex Fridman· 2020年4月3日播客 · 2 人对谈David Silver: AlphaGo Won by Taking Human Knowledge Out嘉宾 David Silver · 主持 Lex FridmanThe DeepMind researcher behind AlphaGo and AlphaZero tells Lex Fridman how an unclaimed million-dollar Go prize, a BBC Micro at age seven, and a honeymoon insight led to superhuman self-play.模型与训练Reinforcement LearningDeep Learning+3
1:12:48EN
Lex Fridman· 2020年2月29日播客 · 2 人对谈John Hopfield's Physics of Mind: Glitches Become Features嘉宾 John Hopfield · 主持 Lex FridmanThe Princeton physicist walks Lex Fridman from a wobbly London bridge to Hopfield networks, consciousness-as-story, and why his famous model still does not explain learning.模型与训练Neuroscience & AI机器学习基础+3
1:44:55EN
Lex Fridman· 2020年2月14日播客 · 2 人对谈If You Need 60,000 Digits, You Have Not Found Intelligence嘉宾 Vladimir Vapnik · 主持 Lex FridmanVladimir Vapnik tells Lex Fridman that intelligence is the art of shrinking a sea of functions with a few good predicates — and that MNIST, solved with sixty examples per class, is the test.模型与训练机器学习基础AI research+3
49:53EN
Lex Fridman· 2019年11月25日播客 · 2 人对谈Gilbert Strang still teaches with thick chalk and four subspaces嘉宾 Gilbert Strang · 主持 Lex FridmanThe MIT linear-algebra legend talks with Lex Fridman about OpenCourseWare, singular values, neural nets as a million folds, and why calculus hogged the undergraduate timetable.模型与训练机器学习基础Deep Learning+3
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