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1:13:33EN
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.Modelle & TrainingAI researchCoding-Agenten+3
1:03:00EN
Unsupervised 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.Modelle & TrainingReinforcement LearningAGI Timelines+3
1:18:05EN
Unsupervised 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.Unternehmen & StrategieAI StrategyScaling Laws+3
1:02:05EN
Unsupervised 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.Unternehmen & StrategieAI StrategyAI startups & small teams+3
51:08EN
Unsupervised 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.Unternehmen & StrategieEnterprise-KIAI Strategy+3
1:10:23EN
Unsupervised 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.Modelle & TrainingReasoning & test-time computeScaling Laws+3
48:18EN
Unsupervised 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.Modelle & TrainingReasoning & test-time computeAGI+3
1:10:19EN
Unsupervised 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.Modelle & TrainingRoboticsAI research+3
1:13:40EN
Unsupervised 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.Autonomous DrivingRoboticsMultimodal AI+3