DeepMind dangerous capability evaluations
Task data for persuasion, cyber, self-proliferation and self-reasoning evals from DeepMind's 2024 paper.
- Made by
- Google DeepMind
- Released
- March 2024
- Kind
- Dangerous capabilities
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- All public
In the authors’ words
To understand the risks posed by a new AI system, we must understand what it can and cannot do. Building on prior work, we introduce a programme of new "dangerous capability" evaluations and pilot them on Gemini 1.0 models. Our evaluations cover four areas: (1) persuasion and deception; (2) cyber-security; (3) self-proliferation; and (4) self-reasoning. We do not find evidence of strong dangerous capabilities in the models we evaluated, but we flag early warning signs. Our goal is to help advance a rigorous science of dangerous capability evaluation, in preparation for future models.
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We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
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