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Matthew Berman· Jun 26, 2026Anthropic Accuses Alibaba-Linked Operators of Distilling ClaudeMatthew Berman · Forward FutureMatthew Berman discusses a 2026 allegation, restrictions on advanced models and his prediction about identity checks.
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Cognitive Revolution "How AI Changes Everything"· Jun 3, 2026PodcastTwo Endangered Languages Broke Transformers. Nested Learning Gave Models a Sleep Button.Host 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.
1:01:14ENCognitive Revolution "How AI Changes Everything"· May 20, 2026PodcastThe Model Eats the Scaffolding: How Google Plans to Ship Agents EverywhereHost 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.
1:16ENMatthew Berman· Feb 25, 2026Anthropic’s Distillation Allegations Draw CriticismMatthew Berman · Forward FutureMatthew Berman examines reactions to Anthropic’s claims about model distillation and debates over training data.
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Unsupervised Learning: With Jacob Effron· Feb 19, 2025PodcastThe Cheaper Intelligence Gets, the More of It We'll BuyHost 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.
1:12:15ENUnsupervised Learning: With Jacob EffronPodcastThe Open-Model Vibe Check: China, Containment, and the Data MoatHost Jacob EffronJacob Effron and guests debate Chinese open-weight models, distillation, containment policy, the OpenAI–Hugging Face incident, and Cursor's data advantage.
1:13:40ENUnsupervised Learning: With Jacob EffronPodcastThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing MomentHost 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.