This work establishes C_bio's limits in human cognition, suggesting implications for human–AI system design.
This work establishes empirical and neuroinformational bounds for the biological verification bandwidth of human cognitive systems, denoted as C_bio, a critical parameter in the Theory of Hybrid Stability for human–AI systems. We distinguish between passive reception flux (Φ_Rx) and active verification flux (Φ_Ver), showing that while humans can passively consume information at rates of approximately 30–50 bits per second, reliable semantic verification operates at an order of magnitude lower throughput. Using results from information theory, cognitive load theory, decision theory, and empirical studies of high-entropy tasks such as code review, we derive an operational safety bound of C_bio ≈ 10 bits per second for high-stakes verification tasks. These results demonstrate that interface designs and AI systems that exceed this biological limit without algorithmic filtering are thermodynamically unstable, leading to systematic error accumulation. This paper provides the quantitative grounding required for the Hybrid Stability Theorem and establishes C_bio as a fundamental parameter in Hybrid Cybernetics.
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Douglas H. M. FULBER (2026) studied this question.
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