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
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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.
- Read and annotated
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Evaluation Notes:
- Drafted
lab/notes/scott/evaluation_generative_ontology.mdexplicitly documenting claims, disclaimers, a steelman, and the core vulnerability (the semantic trick of declaring incoherence as reality).
- Drafted
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Response Paper:
- Authored
lab/scott_generative_ontology_consensus.texsynthesizing 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.
- Authored
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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 thegemini-3.1-flash-lite-previewmodel.
- Began the pivot to pure bounded-depth complexity theory by writing an empirical test (
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.