AI Research
Beyond Tracking or Shortcut: Composition-Bounded Predictive States in Poker Autoregressive Models
Deciphering whether AI models maintain internal beliefs or merely track observable betting patterns.
Hidden-state probes often recover latent labels in imperfect-information sequence models, but this alone does not establish that a model maintains a posterior belief distribution over hidden states. This paper studies this ambiguity in a no-range Limit Hold'em autoregressive mode...
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ArXiv CS.AI
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ArXiv CS.AI
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This research reveals that AI models often appear to track hidden information simply by correlating with observable patterns rather than forming internal beliefs. These findings demand more rigorous diagnostic standards to distinguish between genuine cognitive-like reasoning and superficial data associations.
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