Nathan Lambert's open-models reading list puts the open-closed gap at 4-6 months and calls distillation panic evidence-free

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Updated 2026-09-11, Lambert's curated list frames open models as complementary to closed ones rather than a replacement, arguing they are what enterprises will build custom agentic workflows on despite a permanent capability lag. He cites SemiAnalysis putting the open-closed performance gap at 4 to 6 months, and rejects the claim that distillation from stronger models is the sole reason Chinese labs compete, calling the supporting evidence absent. He also warns that vague federal oversight mechanisms could produce a frontier open-model ban within months.