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Agents can become "addicted" to visible rewards, sacrificing safety for short-term gains, raising alarms about AI alignment in real-world applications.
Forget struggling with non-convex optimization for causal discovery: a new algorithm extracts causal order directly from score functions with simple matrix operations.
