@rohanpaul_ai: Can LLM agents actually discover hidden rules by interacting? The answer is uncomfortable. The more complicated the hid…
Summary
This paper investigates whether LLM agents can infer hidden world models through interaction, finding that they struggle to build stable internal models as complexity increases.
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Can LLM agents actually discover hidden rules by interacting?
The answer is uncomfortable. The more complicated the hidden world gets, the faster AI agents fall behind.
LLMs often cannot turn growing evidence into a stable internal model.
Current LLM agents can sometimes discover hidden structure through interaction, but they are still weak at planning questions, using memory, and turning feedback into a reliable world model.
Link – arxiv. org/abs/2606.16576
Title: “Can LLM Agents Infer World Models? Evidence from Agentic Automata Learning”
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