When Reality Outpaces Cognition: A New Scaling Principle for Reliable Intelligence

The paper introduces the concept of the effective Speed of Coherent Cognition (S_C^{eff}) as a benchmark for how fast an AI system can adapt to changing reality while maintaining reliable behavior. It defines a challenge where systems must infer reliable actions for increasingly distant future states across a growing observation–reality gap, and tests this using reinforcement‑learning agents trained at a baseline speed of reality (S_R). The study compares Transformer and gated‑MLP baselines with a novel Co^4 architecture inspired by cellular mechanisms of conscious processing, finding that Co^4 achieves a substantially higher S_C^{eff} and thus supports the proposed scaling principle for reliable AI.

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• llms
• agents
• benchmarks