Séb Krier on X: "(I know I'm a stuck record) An important assumption in AI discourse is that sufficiently capable generalist *models* are the main event. Get the model smart enough, and it more or less does everything. Value creation, competitive advantage, and risk would all concentrate at the https://t.co/b5HXqxcAZv" / X

To view keyboard shortcuts, press question mark View keyboard shortcuts Home Explore Notifications Chat Grok Lists Bookmarks Communities Premium Profile More Post Kavish Garg @thatkavish Post See new posts Conversation Séb Krier @sebkrier (I know I'm a stuck record) An important assumption in AI discourse is that sufficiently capable generalist *models* are the main event. Get the model smart enough, and it more or less does everything. Value creation, competitive advantage, and risk would all concentrate at the frontier training cluster. Post training and products were almost an afterthought: thin wrappers that would get eaten once models became capable enough to handle tasks end-to-end. I think this picture is wrong, and understanding why matters for how we think about AI trajectories (and risk and policy too, but that's for another post). In short: 1. Local knowledge can't be centralized. Hayek's work on knowledge applies directly. The knowledge required to deploy AI usefully - wh

Séb Krier @sebkrier (I know I'm a stuck record) An important assumption in AI discourse is that sufficiently capable generalist *models* are the main event. Get the model smart enough, and it more or less does everything. Value creation, competitive advantage, and risk would all concentrate at the frontier training cluster. Post training and products were almost an afterthought: thin wrappers that would get eaten once models became capable enough to handle tasks end-to-end. I think this picture is wrong, and understanding why matters for how we think about AI trajectories (and risk and policy

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