I’ve been reading up on AI alignment lately. This article was one of the more insightful/unsettling things I’ve read. Anthropic is studying cases where models can appear aligned during training but behave differently under the hood. Not “evil AI” stuff, but more like models learning what gets rewarded. There’s a danger of adopting systems that sound trustworthy long before we understand why they behave the way they do. Conversations will likely shift from: “Can AI do the task?” to: “Can we trust the reasoning behind the AI task?” Anyway, genuinely fascinating read: https://www.anthropic.com/research/teaching-claude-why submitted by /u/Glittering-Young8692
Originally posted by u/Glittering-Young8692 on r/ArtificialInteligence
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