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2:59:44EN
Cognitive Revolution "How AI Changes Everything"· 3. Juni 2026PodcastTwo Endangered Languages Broke Transformers. Nested Learning Gave Models a Sleep Button.Moderation: Nathan LabenzGoogle researcher Ali Behrouz tells Nathan Labenz how stacking update frequencies — not just layers — and an offline sleep phase could give language models genuine continual learning.Modelle & TrainingContinual learningTransformers & attention+3
1:01:14EN
Cognitive Revolution "How AI Changes Everything"· 20. Mai 2026PodcastThe Model Eats the Scaffolding: How Google Plans to Ship Agents EverywhereModeration: Nathan LabenzThree years after the leaked “no moat” memo, DeepMind’s Gemini leads walk through 3.5 Flash, Omni, and the shared agent harness now running through Google’s products.Unternehmen & StrategieAgent EngineeringDistillation+3
44:34EN
Unsupervised Learning: With Jacob Effron· 19. Feb. 2025PodcastThe Cheaper Intelligence Gets, the More of It We'll BuyModeration: Jacob EffronAmazon AGI Lab head David Luan on what DeepSeek actually meant, why next-token prediction is not enough, and why agents are still stuck on reliability.AgentenAgent EngineeringReinforcement Learning+3
1:12:15EN
Unsupervised Learning: With Jacob EffronPodcastThe Open-Model Vibe Check: China, Containment, and the Data MoatModeration: Jacob EffronJacob Effron and guests debate Chinese open-weight models, distillation, containment policy, the OpenAI–Hugging Face incident, and Cursor's data advantage.Open Source & CommunityOpen-weight modelsOpen-source ecosystems+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