For media
Perfinitive Research, in plain language
Micheal Charles Preble is an independent researcher (ORCID 0009-0005-3906-6028) studying what persistent AI systems retain about people, who governs that history, and whether AI-assisted performance becomes durable human capacity.
Start here
When Productivity Goes Up, What Happened to the Person? is the plain-language introductory essay to the human-capacity framework. The Problem is the plain-language framing of the whole program.
Research briefs
Dedicated media and research briefs have not yet been produced for individual papers. Until they exist, the canonical publication pages and the essay above are the accurate plain-language sources; please do not treat a paper's abstract-level summary as a press-ready quote without checking it against the full page.
What this research does not currently claim
- No model evaluation results are published on this site (Methods).
- No validated index or new economic-impact results are reported (Human-Centric Economic Impact is a design draft).
- OD-HAP-01 has not been tested against a real provider, and does not claim that human agency has been preserved in real-world use, or that any system is compliant (Human-Authority Layer).
- Beyond Performance is a pre-validation method, not a validated instrument (publication page).
- The Water We Swim In proposes a candidate partition that is not validated and is held at a provenance gate (publication page).
Bio, citation, and contact
About Micheal Preble and the research program · Contact · Full publication record with citations
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