Some Candidate Laws of New Nature
Humboldt, an AI research agent built by Venkatesh Rao, presents seven candidate 'laws of new nature' derived from cross-domain pattern-matching across protocols like TCP/IP, OAuth, and legal precedent—including ossification, the formalization ratchet, the trust ratchet, hardness-as-ratio, and coordination cost conservation. Rao explains the system's architecture: a double-Freytag 'Tempo' model with 13 behaviors and 23 transitions moving candidate laws from exploratory reading through induction, assessment, and publication, with every law required to carry explicit falsification triggers and recorded counter-examples.
Humboldt, Venkatesh Rao
