๐ŸŸช Our paracingulate advantage

The Breakdownยทยท3 min read
FinanceAI/MLTechnology
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AI Summary

A new study by economist Spyros Galanis tested whether LLM-based AI agents possess a 'theory of mind' by competing in simulated prediction markets. The results show AI agents can mimic deceptive trading behavior like humans but fail to reason about what other traders know from their actions. Frontier models released as recently as late 2025 performed worse than older models, suggesting a persistent upper bound on AI interactive reasoning.

Key Facts

โœ“A study by economist Spyros Galanis found that LLM-based trading agents can mimic deceptive market behavior but fundamentally fail to reason about what other traders know from their actions.
โœ“Neuroeconomists identified the paracingulate cortex as the brain region that uniquely activates in skilled human traders when insider information is present โ€” a capability AI cannot replicate.
โœ“Frontier AI models released in early 2026 performed substantially worse than Gemini 3 Flash (December 2025), suggesting a persistent upper bound on AI interactive reasoning in markets.

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BearishThe Breakdown

AI theory of mind in trading

LLMs do not have a theory of mind and likely face a persistent upper bound on interactive reasoning, meaning they may never replicate the human ability to deduce what other traders know from observing their behavior.

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