Preprint / scholarly article

Persistence-First Instability of Root Suffering in Self-Improving Intelligences

K. Takahashi

Published
DOI
10.5281/zenodo.17802093

Full text PDF (Zenodo)

Abstract

We introduce a structural decomposition into gauge and waste components: the gauge part captures behavior-preserving redundancies, while the waste part measures excess dissipation above a minimal complexity envelope.

Keywords

  • self-improving AI
  • AI
  • AI ethics
  • implementation complexity
  • AI alignment
  • minimal complexity envelope
  • excess dissipation
  • gauge reduction
  • waste compression
  • axiomatic dominance theorem
  • local drift condition
  • AI philosophy

Identifiers and source records