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1:47:38EN
Cognitive Revolution "How AI Changes Everything"· 4. Juli 2026Podcast19 Neurons Can Drive a Car. Liquid AI Wants Foundation Models on Every ChipModeration: Nathan LabenzRamin Hasani traces liquid neural networks from a worm's 300-cell brain to a 600-megabyte model that will talk from inside a Mercedes, and explains why architecture search now beats architecture avengers.
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Unsupervised Learning: With Jacob Effron· 3. Juni 2026PodcastA Trillion Tokens Later, the Concept Finally Lands: Łukasz Kaiser on What Transformers Still MissModeration: 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.
4:25:13EN
Lex Fridman· 31. Jan. 2026PodcastThe Architecture Barely Changed. Data, Cost, and Open Weights Did.Moderation: Lex FridmanNathan Lambert and Sebastian Raschka walk Lex Fridman through a year in which training methods and datasets moved more than model design, and 2026 looks like a fight over inference cost, agents, and who owns truly open models.
1:03:00ENUnsupervised Learning: With Jacob Effron· 29. Jan. 2026PodcastA Model That Solves New Math Problems Every Week Still Isn't AGIModeration: Jacob EffronFormer OpenAI research VP Jerry Tworek on why scaling still works, why models go hopeless when they fail, and why he left to chase continual learning.
1:18:05ENUnsupervised Learning: With Jacob Effron· 18. Dez. 2025PodcastThe Real Bottleneck in AI Research Is Compute, Not IdeasModeration: Jacob EffronAfter NeurIPS, Ari Morcos and Rob Toews sit down with Jacob Effron to argue about plateauing models, SSI’s secrecy, OpenAI’s cash burn, and a set of spicy 2026 bets.
1:39:05ENCognitive Revolution "How AI Changes Everything"· 29. Okt. 2025PodcastThe Summer GPT-5 Disappointed Does Not Mean AI Progress Has StalledModeration: Nathan LabenzNathan Labenz tells Erik Torenberg why the GPT-5 backlash mixed up product mishaps, naming chaos, and a real jump in capabilities.
1:02:05ENUnsupervised Learning: With Jacob Effron· 24. Sept. 2025Podcast$100 Million Researchers and a $200 Billion xAI: An AI Roundtable Does the MathModeration: Jacob EffronDatology’s Ari Morcos and Radical Ventures’ Rob Toews argue over whether models are plateauing, whether RL-environment startups will last, and why Google is the lab they would pick.
51:08ENUnsupervised Learning: With Jacob Effron· 15. Apr. 2025PodcastThe Transformer Co-Author Who Says Scaling Hit a WallModeration: Jacob EffronCohere CEO Aidan Gomez tells Redpoint that a $100 million model is still an amnesiac genius, and that enterprise AI money is concentrating in support, research, and the back office.
1:10:23ENUnsupervised Learning: With Jacob Effron· 17. März 2025PodcastA Million Tokens per Dollar: Why Noam Shazeer Thinks Inference Compute Is Still UntappedModeration: Jacob EffronThe Transformer co-inventor and Gemini researcher Jack Rae walk through test-time compute, Ilya Sutskever's AGI critique, and a four-year-old who now lectures his teacher about lizards.
48:18ENUnsupervised Learning: With Jacob Effron· 6. Dez. 2024PodcastNoam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of HeadroomModeration: Jacob EffronA ChatGPT query costs about a penny. The problems society cares about most, he says, are worth a million dollars.
2:40:58ENCognitive Revolution "How AI Changes Everything"· 16. Nov. 2024PodcastZvi Mowshowitz Still Puts P(doom) at 60%—and Says Not Updating Is Self-DeceptionModeration: Nathan LabenzA six-month recap with the Don't Worry About the Vase author covering Ilya’s SSI, OpenAI’s o1, Claude’s computer use, the SB 1047 veto, and Trump’s return.
1:18:32ENCognitive Revolution "How AI Changes Everything"· 20. Sept. 2024PodcastA DNA Model That Can Tell Which Genes You Cannot TouchModeration: Nathan LabenzStanford's Brian Hie walks through hybrid architectures, a genome-scale language model trained only on DNA, and an antibody that binds 25 times tighter than nature.
1:23:57ENCognitive Revolution "How AI Changes Everything"· 4. Sept. 2024PodcastA Training Run Is a Particle Collider—and the China Contest Is a Fifty-Year RaceModeration: Nathan LabenzSamo Burja tells Nathan Labenz why ChatGPT's virality may have slowed AI science, and why Washington should treat Beijing as an economic rival rather than a military one.
1:01:55ENCognitive Revolution "How AI Changes Everything"· 1. Juni 2024PodcastA $9 AI nurse, an 86 on the medical boards, and a 10% extinction lineModeration: Nathan LabenzNathan Labenz’s solo scouting report walks from medical state of the art through how models actually learn, then to live players, scaling trends, and a control plan that still does not exist.
1:01:39ENCognitive Revolution "How AI Changes Everything"· 13. Apr. 2024PodcastGPT-5 Wants 100 Trillion Tokens. Does Earth Have Enough?Moderation: Nathan LabenzTraining GPT-3 took about a trillion tokens; GPT-4 took about ten trillion. The next jump is a data question as much as a compute one.
1:19:52ENCognitive Revolution "How AI Changes Everything"· 18. Okt. 2023Podcast1,000 H100s Take 115 Days; 22,000 Take FiveModeration: Nathan LabenzNathan Labenz and Trey Kollmer walk through cluster math that turns GPT-4-scale training into a weekly experiment, then four papers on search-augmented models, recursive code improvers, spatial maps inside Llama 2, and what networks do when they have no idea.
1:33:56ENCognitive Revolution "How AI Changes Everything"· 6. Juli 2023PodcastThe AI Scouting Report: 90 Minutes From GPT-4's Exam Scores to Whether Models UnderstandModeration: 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"· 29. Juni 2023PodcastA Million Bytes and 256 Symbols: Meta's MEGABYTE Wants to Throw the Tokenizer AwayModeration: 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.
26:02ENLex Fridman· 9. Feb. 2020PodcastMoore’s Law Is Not Dead—It Is a Cascade of S-CurvesModeration: Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.
1:10:19ENUnsupervised Learning: With Jacob EffronPodcastThe Robot That Folded the Laundry: Physical Intelligence’s Three FrontiersModeration: Jacob EffronKarol Hausman and Danny Driess explain how robot foundation models moved from coded primitives to web-scale pretraining, and why performance is now the hard gate.
1:14:59EN
Lenny's PodcastPodcastWhy Anthropic's Ben Mann Thinks the Exponential Hasn't Slowed, and Why He Still Worries About SafetyModeration: Lenny RachitskyThe Anthropic co-founder on the AI talent war, scaling laws, the economic Turing test, jobs, leaving OpenAI, constitutional AI and how he forecasts the risk of superintelligence.
1:19:48ENLex FridmanPodcastBigger Models, Cleaner Splits and Human Baselines: Andrew Ng's Practical Recipe for Applied Deep LearningModeration: Lex FridmanIn a 2016 Deep Learning School talk, Andrew Ng distills lessons from leading Baidu's AI team into a workflow for diagnosing models, handling data and building a career.
1:13:40ENUnsupervised Learning: With Jacob EffronPodcastThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing MomentModeration: Jacob EffronVincent, a distinguished engineer at Waymo, explains how foundation models became teachers for self-driving, why the long tail and causality are the real frontier, and where robotics still lacks its generalist proof point.