Author

George Andrikopoulos

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#artificial intelligence Preprint Aug 2026

Grouping the Stochastic Machine: Precision, Not Capability, as the Frontier Metric for AI Systems

This work defines a grouping metric, specify a harness, and shows how tracking a human-AI pair's grouping over time yields the compounding signal that Paper 1's field study requires.

George Andrikopoulos · 0 citations

#artificial intelligence Preprint Aug 2026

Tuning the Stochastic Machine: A Systems Engineer's Operating Model for Human-AI Engineering

It is argued this is an operations problem, not a tooling problem: mechanisms for persisting corrections exist and are shipping, but the discipline for governing them -- versioning with provenance, recurrence monitoring, counter-metrics, retirement of stale rules -- does not.

George Andrikopoulos · 0 citations