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Interconnects AI

Latest open artifacts (#22): Zyphra, Cohere, and Poolside are expanding the breadth of the ecosystem GLM-5.2 is the step change for open agents Banning Open Source AI Would Be A Mistake State of the blog, mid-2026 Frontier post-training recipe review with Finbarr Timbers Welcome to the AGI era of AI governance Claude Fable 5 and new AI safety fables Farewell Ai2 Open and closed models are on different exponentials Some ideas for what comes next, May 2026 Latest open artifacts (#21): Open model bonanza! Gemma 4, DeepSeek V4, Kimi K2.6, MiMo 2.5, GLM-5.1 & others. On CAISI's V4 assessment. How open model ecosystems compound Notes from inside China's AI labs The distillation panic My bets on open models, mid-2026 What I've been building: ATOM Report, post-training course, finishing my book, and research The inevitable need for an open model consortium Claude Mythos and misguided open-weight fearmongering Gemma 4 and what makes an open model succeed
Reading today's open-closed performance gap
Nathan Lambe · 2026-04-21 · via Interconnects AI
The complex factors that determine the single evaluation number so many focus on. Plus, how this changes in t…