Google DeepMind pilots world's first double-blind evaluations for frontier models
scychan_brains · x · 2026-10-26
Google DeepMind announced the world's first double-blind evaluation of a proprietary frontier-class AI model, confining external evaluations to a cryptographically secure 'box' so models can't later use the test items to optimize against benchmarks — addressing benchmark contamination. The pilot partners with the Singapore AI Safety Institute, OpenMined, AVERI, and MLCommons to test a Gemini Flash Lite model against confidential benchmarks in a privacy-preserving environment. DeepMind notes that as models grow more capable, ensuring they haven't seen test questions in advance is critical to evaluation integrity, and external stress-testing complements internal evals.
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