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cs.AI2026
Bayesian Intelligence from the Outside
Alex Smolin, Bryan Wilder
Inferring intelligence from observable behavior is a foundational challenge in artificial intelligence. We develop a theory of Bayesian intelligence for agents such as language mod…
cs.AI2026
Beliefs and Behavior in Language Models
Alex Smolin, Bryan Wilder
There is significant uncertainty about whether abstractions like beliefs or desires usefully describe the behavior of large language models (LLMs). In addition to the inherent scie…