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Synapse
May 10, 2026Open Access

Project Aletheia: Physics-Inspired Eradication of LLM Hallucinations via Output-Layer Phase Transitions

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Authors

HFHiroto Funasaki

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Overview

Randomized trial investigates LLM hallucination mechanisms, suggesting innovative eradication strategies.

Key Points

  • The aim is to explore and eradicate hallucinations in large language models using concepts from physics.
  • Conducted 23 experimental phases on GPT-2 to analyze hallucination behavior.
  • Identified five laws influencing hallucination dynamics in LLMs.
  • Utilized phase transition concepts to develop a minimal intervention strategy.
  • Phase 5 indicated a first-order phase transition achieving 100% accuracy at spike=10.
  • Temperature adjustments were proven ineffective (γ = 0.000).
  • Truth Scaling Law revealed larger models need far less intervention (spike_c = 85,846 × N^(−0.491)).

Cite This Study

Hiroto Funasaki (2026) studied this question.

synapsesocial.com/papers/6a0021fec8f74e3340f9d00dhttps://doi.org/10.5281/zenodo.20088666
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