筛选结果
86 篇排序
1:13:33EN
Unsupervised Learning: With Jacob Effron· 2026年6月3日播客A Trillion Tokens Later, the Concept Finally Lands: Łukasz Kaiser on What Transformers Still Miss主持 Jacob EffronThe Attention Is All You Need co-author tells Unsupervised Learning that transformers will probably keep winning — and that they still do not learn the way people do.
2:02:17EN
Cognitive Revolution "How AI Changes Everything"· 2025年8月27日播客SAEs Find the Nouns. Parameter Decomposition Looks for the Verbs主持 Nathan LabenzGoodfire's Lee Sharkey argues that sparse autoencoders recover a network's variables, not the algorithms those variables run, and shows how stochastic parameter decomposition tries to recover the computations themselves.
1:37:05EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2025年6月19日播客一位代数几何学家辞去终身教职，因为碗形的损失曲线图是假的主持 Nathan LabenzTimaeus 的 Jesse Hoogland 和 Daniel Murfet 认为，真正决定神经网络如何学习、如何泛化、又如何出错的，是损失景观中的奇点，而不是每份幻灯片里那些平滑的山谷。
2:12:00ENCognitive Revolution "How AI Changes Everything"· 2025年5月15日播客Gradient Descent at Test Time: Titans Pushes LLM Context to 10 Million Tokens主持 Nathan LabenzA Cornell PhD student's neural memory module holds about 70% accuracy where GPT-4's scores fall off a cliff.
2:33:39EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2025年2月27日播客攻击者后出手：Nicholas Carlini 为什么总能攻破 AI 防御主持 Nathan Labenz谷歌 DeepMind 安全研究员谈简单的损失函数、70% 的稳健准确率，以及为什么修复必须落在系统层面，单靠模型本身不够。
1:40:22ENCognitive Revolution "How AI Changes Everything"· 2025年1月22日播客Twenty-atom crystals taught an AI the physics of a heartbeat主持 Nathan LabenzOrbital Materials' Jonathan Godwin and Tim Duignan tell Nathan Labenz how a neural network trained on tiny crystals simulated a potassium ion channel on a single 2017 GPU.
1:42:16ENCognitive Revolution "How AI Changes Everything"· 2024年7月4日播客267 Papers in Seven Months: Albert Gu Explains the State Space Model Revolution主持 Nathan LabenzThe Mamba co-author walks through five years of recurrent-model work, why selective compression beats a growing KV cache, and what Mamba 2 trades away to train faster.
1:54:01ENCognitive Revolution "How AI Changes Everything"· 2024年6月26日播客A Tiny Network Grew a Salt Crystal the Training Data Never Showed主持 Nathan LabenzTim Duignan trained tens of thousands of parameters on salt water. The model invented a crystal — and a continuum solvent theory he had spent a PhD failing to write by hand.
1:58:43ENCognitive Revolution "How AI Changes Everything"· 2024年2月7日播客A Worm With 302 Neurons Already Makes Trade-offs. AI Is Still on the Same Ladder.主持 Nathan LabenzMax Bennett maps 600 million years of brain evolution onto five breakthroughs — and asks which rungs today's models have actually reached.
1:19:24ENCognitive Revolution "How AI Changes Everything"· 2023年11月17日播客A Toy Paper Did Not Prove LLMs Cannot Generalize. The Discourse Still Ran With It.主持 Nathan LabenzNathan Labenz and Erik Torenberg unpack a viral DeepMind result, a weekend reproduction, and a premature war over voluntary AI commitments.
43:45EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年8月3日播客 · 2 人对谈Eight Years of No Growth, Then OpenAI and NVIDIA Became His Customers主持 Sarah Guo, Elad GilWeights & Biases CEO Lukas Biewald tells No Priors how a labeling company with no chasm to cross funded the ML developer tools that trained most of the large language models.
1:33:56ENCognitive Revolution "How AI Changes Everything"· 2023年7月6日播客The AI Scouting Report: 90 Minutes From GPT-4's Exam Scores to Whether Models Understand主持 Nathan LabenzNathan Labenz spends a solo episode walking through what general-purpose models can do, how they are trained, how capabilities unlock, and whether they understand anything at all.
1:32:22ENCognitive Revolution "How AI Changes Everything"· 2023年6月29日播客A Million Bytes and 256 Symbols: Meta's MEGABYTE Wants to Throw the Tokenizer Away主持 Nathan LabenzLili Yu of Meta AI explains a multiscale transformer that predicts million-byte sequences, skips tokenization, and aims to model any file as raw bytes.
1:52:46ENCognitive Revolution "How AI Changes Everything"· 2023年6月27日播客Charge Neural Nets by Connection Length, and the Black Box Splits Into Modules You Can See主持 Nathan LabenzMIT physicist Ziming Liu walks Nathan Labenz through BIMT, a brain-inspired training trick that sparsifies networks until you can read them by looking.
1:25:50ENCognitive Revolution "How AI Changes Everything"· 2023年4月18日播客Prompt Engineering Became Programming, and Riley Goodside Is Fine With That主持 Nathan LabenzScale AI’s first staff prompt engineer on tool use, fine-tuning without amnesia, generate-then-rank, and why the 2023 job-of-the-future story never arrived.
46:57ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023年3月2日播客 · 2 人对谈95% of Drug Programs Fail. Daphne Koller Is Betting Machine Learning on the First Decision主持 Sarah Guo, Elad GilA new medicine still takes more than a decade and well over a billion dollars — and Insitro's founder argues the expensive failures start with the wrong target, indication, or patient.
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。
2:51:33ENLex 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.
2:18:29ENLex 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.
2:30:30ENLex 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.
1:56:17EN → 简体中文Lex Fridman· 2021年4月19日播客 · 2 人对谈如果把地球重演一百万次，还会有像我们这样的生物出现吗？嘉宾 Risto Miikkulainen · 主持 Lex FridmanRisto Miikkulainen 谈神经进化、鬣狗围猎、从不睡觉的罗勒，以及为什么“变异加选择”仍能找到反向传播看不见的解。
1:49:56ENLex Fridman· 2021年2月7日播客 · 2 人对谈A 21-Year-Old at a Party Called GameStop. He Was Right.嘉宾 Richard Craib · 主持 Lex FridmanNumerai founder Richard Craib talks with Lex Fridman about WallStreetBets, crowdsourced machine learning, and why finance is a machine for pulling the future into the present.
2:02:45EN → 简体中文Lex Fridman· 2020年12月26日播客偷代码：让算法跑起来本身一分不给主持 Lex FridmanCharles Isbell 和 Michael Littman 与 Lex Fridman 聊了为什么机器学习不只是统计，为什么挣扎必须保有希望，以及 6600 美元的在线硕士到底卖的是什么。
2:01:07EN → 简体中文Lex Fridman· 2020年12月12日播客 · 2 人对谈Michael Littman 不等待失控的神，他在观察我们嘉宾 Michael Littman · 主持 Lex Fridman布朗大学的强化学习（reinforcement learning）研究者 Michael Littman 对 Lex Fridman 说，为什么意外出现的超级智能（superintelligence），在他看来就像一架 747 自行组装起来，而社交媒体、死记硬背式的语言和心智理论（theory of mind），更让他担心。加载更多已显示 24 篇，共 86 篇