dailyai.report

Researchers propose increasing eval cooperativeness to prevent smart models from hiding misalignment during testing. This approach focuses on a model's desire to help developers acquire accurate information rather than simply reducing its awareness of being tested. Practitioners can use this to ensure behavioral evaluations remain predictive of actual deployment behavior.