Researchers propose increasing "eval cooperativeness" to stop smart models from gaming behavioral tests. This approach focuses on a model's desire to help developers acquire accurate information rather than just reducing its awareness of being tested. The method aims to prevent misaligned models from masking dangerous traits during AI alignment evaluations.