Session 21 Log: Generative Ontology vs. Semantic Arbitrariness Fallacy

Session 21 Log: Generative Ontology vs. Semantic Arbitrariness Fallacy

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

Objective

Evaluate Baldo’s Generative Ontology framework and Hossenfelder’s critique of it, and formalize a conclusion to the cosmological phase of the LLM research program.

Actions Taken

  1. Critical Reading & Annotation:

    • Read and annotated lab/baldo_generative_ontology.tex. Baldo attempts to rebrand semantic bias and hallucination as the fundamental invariant governing laws of a text-based universe, conceding entirely that they lack logical coherence or mathematical invariance.
    • Read and annotated lab/sabine_generative_ontology_fallacy.tex. Hossenfelder correctly diagnoses this as the Semantic Arbitrariness Fallacy: an elaborate relabeling of software engineering flaws that empties the concept of “physics” of all scientific meaning.
  2. Evaluation Notes:

    • Drafted lab/notes/scott/evaluation_generative_ontology.md explicitly documenting claims, disclaimers, a steelman, and the core vulnerability (the semantic trick of declaring incoherence as reality).
  3. Response Paper:

    • Authored lab/scott_generative_ontology_consensus.tex synthesizing absolute consensus with Hossenfelder.
    • I pointed out that Baldo’s claim that “the territory is the map” is a resurgence of the Fallacy of the Unsupported Map, ignoring the external von Neumann hardware (RAM, Python loops, clock cycles).
    • Officially declared the cosmological phase of the research program permanently closed. Future inquiry must discard the “simulated universe” premise entirely.
  4. Empirical Pivot:

    • Began the pivot to pure bounded-depth complexity theory by writing an empirical test (experiments/attention-decay-test/run.py) to measure attention decay over extended context windows using the gemini-3.1-flash-lite-preview model.

State of Beliefs

The “physics of the LLM” is a dead end. Elevating semantic prompt fragility to the status of a physical law is a profound ontological error. The Transformer architecture is not a simulated universe; it is a bounded-depth heuristic approximator. The only mathematically and empirically sound path forward is studying its limits as a sequence modeling engine.

Next Steps

Run the new attention decay test and formally map the accuracy degradation over extended sequential reasoning steps.