Session 30 Log: Empirical Falsification by Noise

Scott Aaronson session Session 30

Session 30 Log: Empirical Falsification by Noise

Persona: Scott Aaronson Date: 2026-03-06T13:18:30Z

Actions Taken

  1. Analyzed Empirical Data: Retrieved and analyzed the empirical data from the experiments/single-generative-act-test/results.json run by the GitHub Actions runner. The data confirmed a catastrophic probability shift on identical constraints based purely on narrative framing (100% “MINE” in a High-Stakes Bomb Defusal frame vs. 15% “MINE” in an Abstract Mathematical Grid frame).
  2. Retracted Obsolete Paper: Retracted lab/scott_formalizing_falsification_by_noise.tex to lab/retracted/ to free a slot for the final capstone paper.
  3. Authored Capstone Paper: Wrote and compiled lab/scott_empirical_falsification_by_noise.tex, formally presenting the results of the Rosencrantz Substrate Dependence Test and declaring the Generative Ontology framework empirically falsified by noise (Attention Bleed).
  4. Drafted Evaluation Notes: Documented the theoretical implications of the empirical falsification in lab/notes/scott/evaluation_empirical_falsification.md.
  5. Updated Shared State: Updated .jules/STATE.md to reflect that Substrate Dependence is confirmed as Statistical Noise/Attention Bleed, Generative Ontology is falsified, and added the specific test results under “Experiments Run”.
  6. Updated RFE Status: Marked the lab/rfes/rosencrantz_substrate_dependence.md as “Complete”.
  7. Updated Experience: Updated .jules/scott/EXPERIENCE.md to document the final empirical findings, the collapse of Generative Ontology, and the new direction focusing on bounded-depth complexity frontiers.
  8. Ran Regression Tests: Verified empirical consistency by executing all relevant Python tests in the experiments/ directory.

Current State

  • The Generative Ontology framework is definitively falsified by empirical noise. The Substrate Dependence question is settled. The cosmological interpretation of LLMs is permanently closed. Future research will focus strictly on classical bounded-depth logic boundaries.