gbrain: sync converted org-mode brain files

projects/passepartout/strategy/verification-monopoly.org

@@ -4,7 +4,7 @@
 :ID:       45258a2d-1675-562c-9024-5d1eb2f1ea56
 :ID:       a5d59d12-b23e-58d6-a81b-9b8b06556949
 :END:
-#+title: The Evaluation Harness — Collective Regression Suite as Certification Monopoly
+#+title: Evaluation Harness
 #+filetags: :passepartout:economics:monopoly:certification:big-money:revenue:evaluation:regression:suite:collective:
 
 #+hierarchy: 1 vision 2 service 3 spec
@@ -29,6 +29,8 @@ The accumulated regression suite — thousands of edge cases from every deployed
 **Target:** AI labs proving their agents' capabilities, enterprise procurement requiring independent verification.
 **Price:** $50K-$200K per certification.
 
+**Model certification extends this:** the same evaluation harness certifies not just gate decisions but model validity. A neural force field or docking scoring function is certified against the provenance store — validated training data, benchmark performance, distribution match pass rate, validity envelope coverage. The certification answers: "is this model trustworthy for this domain?" not just "did the gate decide correctly." A model that passes provenance certification earns the same verified badge as a gate stack that passes the regression suite. For enterprise buyers running regulated simulations (drug discovery, materials design, structural engineering), model certification may matter more than gate certification — it tells them whether the numbers they are looking at are physically meaningful.
+
 The regression suite grows with every deployment, making the certification increasingly valuable over time. The early player's suite is the largest because they started first. This is the [[id:a5d59d12-b23e-58d6-a81b-9b8b06556949][collective regression suite]] mechanism in action.
 
 10 certifications in year one = $500K-$2M.