Gabriel P. Andrade @gab_p_andrade · 08 Jul 2026
9/ As always, there's no free lunch here: LLM errors aren't uniform. Their biases produce concentrated, learnable error patterns that an ex-ante attacker can chase. These error profiles become an audit surface (open weights, bias bounties, etc.)
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