Vertical Models Just Stole the Inference Stack

Three announcements landed in the same week — and if you only read the headlines, you'd think they had nothing in common. Mistral released Timestral , a family of time-series forecasting models. CERN signed a partnership with Mistral to build Flare , a foundation model for particle physics. And Kronos , an open-source foundation model for financial candlestick data, hit +355 stars per day on GitHub with 41,800 total stars.

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The common thread isn't "AI keeps getting better." The common thread is that domain-specific foundation models are restructuring how inference gets deployed — and they're doing it by being small, cheap, and purpose-built instead of large, expensive, and general.

This is the boring-money bet.…