Google DeepMind pilots double-blind AI evaluations without sharing prompts or model weights
Google DeepMind says its pilot keeps external evaluation prompts and model weights private, though its first-of-its-kind claim remains independently unverified.
By RuntimeWire Staff · Published
Primary source: Google DeepMind
Why it matters
Closed-model audits can force evaluators to expose private tests or developers to share valuable model weights. A credible double-blind process could protect both, but Google DeepMind has not disclosed enough about its pilot to assess its security, results or evaluator independence.
Google DeepMind, the AI lab co-founded by Demis Hassabis, said on August 27th that it is piloting a double-blind evaluation system intended to let outsiders test frontier models without exposing either side's sensitive material.