DeepMind uses cryptographically sealed evals to fight benchmark contamination
VraserX · x · 2026-08-30
DeepMind is implementing cryptographically sealed evaluations for frontier models to prevent them from effectively "studying" for the test. This measure addresses the growing issue of benchmark contamination, introducing a form of AI exam security to ensure that evaluation results reflect genuine capabilities rather than data memorization.
Related event: DeepMind Debuts Blind, Encrypted Evaluation for Frontier AI Models(2 posts)→
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