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2026.10.17 · Sat

#推理

#推理

Opinion

Viewpoints, commentary, analysis, interviews, and discussion of trends.

10/6Tue
  1. Arthur Mensch · X72

    Mistral announces Mistral Large 4 with 1T parameters and native multimodality

    Mistral AI announced Mistral Large 4, aka Le Chonk, with 1T parameters, 49B active, and native multimodality, available via API today with an open weights release planned for the end of October. It claims the model leads open weights models from the US or Europe on aggregated benchmarks and surpasses closed frontier models on visual grounding. Arthur Mensch adds that it took groundwork, was trained and served on their own compute, and that RL shows no sign of saturation.

    Why it matters: The announced API availability and end of October open weights release give teams distinct timelines for accessing the model through hosted infrastructure or its weights.

9/26Sat
  1. Kevin Weil · X79

    Anthropic reports Claude solved a nine-loop calculation in planar N=4 super-Yang-Mills

    Anthropic reports that Claude solved a nine-loop scattering-amplitude problem in planar N=4 super-Yang-Mills, running largely unsupervised for days in Claude Science at a total cost of a few thousand dollars. Claude used methods developed by Lance Dixon and colleagues, and Dixon independently verified the result. Kevin Weil, who calculated Feynman diagrams in graduate school, calls the result mind-boggling and expresses excitement about where AI could take high-energy physics over the coming 12 months.

    Why it matters: The reported cost of a few thousand dollars offers a concrete reference point for assessing AI-assisted theoretical physics calculations within an academic compute budget.

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