Preprint / scholarly article

A Representation-Independent Natural-Law Field Theory for No-Meta, Audited Superintelligence

K. Takahashi

Published
DOI
10.5281/zenodo.17223573

Abstract

The core idea is to replace external objectives with physics-style invariants and verifiable audits: free-energy descent (GENERIC), anytime-valid testing (test supermartingales / e-values), transport via JKO/EVI, reaction–diffusion coexistence with Fisher–KPP speed floors, and gauge-curvature regularization.

Keywords

  • AI
  • large language models
  • machine learning
  • field theory
  • AI alignment
  • no-meta
  • representation independence
  • audit-compatible kernel
  • ac-kernel
  • markov kernel

Identifiers and source records