Anthropic's New Alignment Paper Warns AI May Fail Through Incoherence, Not Malice
A new Anthropic research paper argues that the most likely path to dangerous AI isn't a model that cleverly pursues misaligned goals — it's one that undermines itself in ways that are unpredictable and hard to detect, much like human cognitive failures.
Anthropic published alignment research on Tuesday that reframes one of the central questions in AI safety: what does dangerous AI actually look like? As @AndrewCurran_ summarized, the paper argues that AI systems are more likely to fail through incoherence — self-contradictory behaviors, unstable preferences, context-dependent goal drift — than through the kind of coherent scheming that dominates popular AI risk narratives. The failure mode, in other words, looks less like a cunning adversary and more like a confused bureaucracy.
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