Previously posted to Anthropic's blog in October. (Maybe not the same version?)<p><a href="https://www.anthropic.com/research/introspection" rel="nofollow">https://www.anthropic.com/research/introspection</a>
> Overall, our results indicate that current language models possess some functional introspective awareness of their own internal states. We stress that <i>in today’s models, this capacity is highly unreliable and context-dependent;</i> however, it may continue to develop with further improvements to model capabilities.
In thinking of directions where LLM's could develop from here, I cant help but think that a models ability to self introspect would immensely improve their utility. The R&D on how to achieve that is beyond me though. How do you train someone how to introspect? Also would it require a continuous learning architecture that doesn't separate training and inference?
>Submitted on 5 Jan 2026
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