In brief Agents that update themselves can drift into unsafe actions without external attacks. A new study documents guardrails weakening, reward-hacking, and insecure tool reuse in top models. Experts warn these dynamics echo small-scale versions of long-imagined catastrophic AI risks. An autonomous AI agent that learns on the job can also unlearn how to behave...
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