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Policymakers should not conflate legitimate model-development techniques with misappropriation: distillation, the practice of using one model's outputs to help train or improve another, is a widely used technique for model improvement, evaluation, and validation that reflects a long tradition of learning from and building upon existing technologies.

The author flags the letter's surprising pro-distillation stance and quotes its argument: distillation is a widely used, legitimate technique rooted in the open-source software tradition, and policymakers should not conflate it with misappropriation. ✦ AI generated

the Open Weights and American AI Leadership letter · Simon Willison's Weblog · 2026-08-02 · original ↗

In shaping this ecosystem, policymakers should be careful not to conflate legitimate model-development techniques with misappropriation. Distillation, or the practice of using one model's outputs to help train or improve another, is a widely used technique for model improvement, evaluation, and validation. It reflects a long tradition of learning from, building upon, and improving existing technologies, a tradition that has helped drive innovation since the rise of the open-source software movement.

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