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Harvard guest lecture explores open models, distillation and AI risks
Nathan Lambert's slides distinguish open weights from open source and examine competition with proprietary models.
TLDR
Nathan Lambert shared a recording, slides and reading list for his October 22 guest lecture on open language models at Harvard. The lecture covers how open models are built and used, how they compare with proprietary models, and questions about distillation, risks and future access. Lambert says he hopes to revisit those questions about every six months.
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