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Home/Research Paper Library/Evaluating Language-Model Agents on Realistic Autonomous Tasks

Evaluating Language-Model Agents on Realistic Autonomous Tasks

METR's autonomous replication and adaptation evaluations, the origin of dangerous-autonomy testing for frontier models.

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Research question

Can current agents acquire resources, replicate and evade shutdown?

Key findings

Twelve autonomous-replication tasks; agents completed the easiest but failed complex ones - Established the ARA evaluation methodology used in GPT-4 and Claude assessments

Sources

arxiv.orghttps://arxiv.org/abs/2312.11671

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