Anthropic's anti-distillation defenses may have cut data harvest by 90-99%
Proper_Actuary2907 · reddit · 2026-10-13
Citing Anthropic's official research page, a Reddit user notes that Anthropic's deployed anti-distillation defenses may have reduced the volume of training data harvested from its Claude models by 90–99%.
Anti-distillation defenses aim to stop competitors from distilling a frontier model's capabilities through mass querying. If accurate, the measures are highly effective in practice—and signal that the "train small models on scraped closed-model outputs" route is being systematically closed off.
Related event: Anthropic says it cut distillation attacks by 90-99%, naming Zhipu(11 posts)→
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