AI benchmarks are supposed to reveal what models can do, but Google DeepMind is now putting the tests behind a cryptographic wall to make sure the models have not seen the answers first.
Google DeepMind said Thursday that it has piloted what it describes as the first double-blind evaluation of a proprietary frontier AI model, using a cryptographically protected environment to keep both the model and evaluation prompts hidden from each side.
The project involved the Singapore AI Safety Institute, OpenMined, AVERI and MLCommons. AVERI evaluated Gemini 2.5 Flash Lite using reserved prompts from MLCommons’ AILuminate safety benchmark, covering…
Read the full article at TECHREPUBLIC.COM
