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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.
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Cognitive Revolution "How AI Changes Everything"· 27. Aug. 2025PodcastSAEs Find the Nouns. Parameter Decomposition Looks for the VerbsModeration: 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.
1:37:05ENCognitive Revolution "How AI Changes Everything"· 19. Juni 2025PodcastAn Algebraic Geometer Quit Tenure Because the Bowl-Shaped Loss Plot Is a LieModeration: Nathan LabenzJesse Hoogland and Daniel Murfet of Timaeus argue that singularities in the loss landscape — not the smooth valleys in every slide deck — are what actually govern how neural networks learn, generalize, and go wrong.
2:12:00ENCognitive Revolution "How AI Changes Everything"· 15. Mai 2025PodcastGradient Descent at Test Time: Titans Pushes LLM Context to 10 Million TokensModeration: Nathan LabenzA Cornell PhD student's neural memory module holds about 70% accuracy where GPT-4's scores fall off a cliff.
2:33:39ENCognitive Revolution "How AI Changes Everything"· 27. Feb. 2025PodcastThe Attacker Goes Second: Why Nicholas Carlini Keeps Breaking AI DefensesModeration: Nathan LabenzA Google DeepMind security researcher on simple loss functions, 70% robust accuracy, and why the fix has to live in the system, not the model.
1:40:22ENCognitive Revolution "How AI Changes Everything"· 22. Jan. 2025PodcastTwenty-atom crystals taught an AI the physics of a heartbeatModeration: 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"· 4. Juli 2024Podcast267 Papers in Seven Months: Albert Gu Explains the State Space Model RevolutionModeration: 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"· 26. Juni 2024PodcastA Tiny Network Grew a Salt Crystal the Training Data Never ShowedModeration: 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"· 7. Feb. 2024PodcastA Worm With 302 Neurons Already Makes Trade-offs. AI Is Still on the Same Ladder.Moderation: 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"· 17. Nov. 2023PodcastA Toy Paper Did Not Prove LLMs Cannot Generalize. The Discourse Still Ran With It.Moderation: Nathan LabenzNathan Labenz and Erik Torenberg unpack a viral DeepMind result, a weekend reproduction, and a premature war over voluntary AI commitments.
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No Priors: AI, Machine Learning, Tech, & Startups· 3. Aug. 2023Podcast · 2 StimmenEight Years of No Growth, Then OpenAI and NVIDIA Became His CustomersModeration: 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"· 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.
1:52:46ENCognitive Revolution "How AI Changes Everything"· 27. Juni 2023PodcastCharge Neural Nets by Connection Length, and the Black Box Splits Into Modules You Can SeeModeration: 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"· 18. Apr. 2023PodcastPrompt Engineering Became Programming, and Riley Goodside Is Fine With ThatModeration: 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· 2. März 2023Podcast · 2 Stimmen95% of Drug Programs Fail. Daphne Koller Is Betting Machine Learning on the First DecisionModeration: 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
Lex Fridman· 20. Sept. 2021Podcast · 2 StimmenJay McClelland on How Thought Emerges From Neural NetworksGast: Jay McClelland · Moderation: Lex FridmanThe Stanford cognitive scientist talks with Lex Fridman about connectionism, backpropagation, David Rumelhart, and why intuition discovers what logic later proves.
2:51:33ENLex Fridman· 29. Aug. 2021Podcast · 2 StimmenThe Self Is a GPT Prompt: Wojciech Zaremba on Consciousness, Codex, and Fermi's SilenceGast: Wojciech Zaremba · Moderation: 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· 8. Aug. 2021Podcast · 2 StimmenYour Cortex Is 150,000 Brains Voting on a Coffee CupGast: Jeff Hawkins · Moderation: 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· 31. Juli 2021Podcast · 2 StimmenThe Fallacy of the Successful First StepGast: Ishan Misra · Moderation: 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.
1:56:17ENLex Fridman· 19. Apr. 2021Podcast · 2 StimmenIf You Reran Earth a Million Times, Would Anything Like Us Appear?Gast: Risto Miikkulainen · Moderation: Lex FridmanRisto Miikkulainen on neuroevolution, hyena raids, basil that never sleeps, and why variation-plus-selection still finds solutions backpropagation cannot see.
1:49:56ENLex Fridman· 7. Feb. 2021Podcast · 2 StimmenA 21-Year-Old at a Party Called GameStop. He Was Right.Gast: Richard Craib · Moderation: 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.
2:02:45ENLex Fridman· 26. Dez. 2020PodcastSteal the Code: You Get Zero Points for Making the Algorithm RunModeration: Lex FridmanCharles Isbell and Michael Littman tell Lex Fridman why machine learning is not just statistics, why struggle has to stay hopeful, and what a $6,600 online master's actually sells.
2:01:07ENLex Fridman· 12. Dez. 2020Podcast · 2 StimmenMichael Littman isn’t waiting for a runaway god. He’s watching us.Gast: Michael Littman · Moderation: 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.Mehr laden24 von 86 angezeigt