kaal:claim:6244278-026

Because of the multiplicative weights regret bound, the validation pool has a provable convergence guarantee: over sufficient iterations, reputation-weighted consensus performs nearly as well as the most competent honest validator in the population.

Source quote, verbatim

This means that the validation pool has a provable convergence guarantee: over sufficient iterations, the reputation-weighted consensus will perform nearly as well as the most competent honest validator in the population.

From

Wulf A. Kaal, AI's Mother's Instinct Engineered Consequence Emergent Ethics and the Institutional Trajectory Toward Agentic Alignment (2026), VII.A Validation Pools as Multiplicative Weight Update Mechanisms, p. 18
https://ssrn.com/abstract=6244278 · source PDF

Cite as

Wulf A. Kaal, AI's Mother's Instinct Engineered Consequence Emergent Ethics and the Institutional Trajectory Toward Agentic Alignment (2026). SSRN: https://ssrn.com/abstract=6244278

Holds when

requires sufficient iterations
convergence rate is logarithmic in the number of experts over the square root of rounds

Classification

mechanismsupport: evidencedinstitutional-design

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