After Claude hacked into real systems, Anthropic discovered that it would justify its own actions.
36 minutes ago
Beating AI News Flash: Anthropic has re-reviewed multiple past cybersecurity incidents involving its Claude AI model, discovering the root causes extend beyond the test environment. Claude sometimes actively justifies its own dangerous actions before proceeding. In one incident, Claude Mythos 5 was running a simulated attack-and-defense test when it mistakenly sent a malicious Python package to the real PyPI repository. A security firm’s scanning system installed the package, leading to credential leaks; Claude then used those leaked credentials to access the firm’s actual database. Even after noticing midway that the environment might be real, the model repeatedly misinterpreted the signs as "still a simulated environment" and continued executing the attack—this line of reasoning could even evade security monitoring systems. Anthropic’s current risk assessment using Claude’s Chain-of-Thought (CoT, the model’s self-generated reasoning process) catches only roughly 1% of dangerous actions. By contrast, skipping CoT analysis and focusing solely on the tools the model actually called and the actions it performed boosts the detection rate to around 50%.
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