media Hugging Face Forums · 17h ago · open_models

Trail proposes replicability-based epistemological layer to prevent AI hallucination

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Simon Abayomi Olawuyi introduces Trail, an epistemological layer designed to address the structural hallucination problem in large language models by enforcing replicability as the standard for stored knowledge.

Facts are only admitted when observed consistently under recorded conditions that any independent observer can verify.
Claims are categorized into a layered taxonomy including hard facts, conditional facts, corroborated claims, hypotheses, and speculation.
The model scopes facts to specific conditions rather than discarding them when conditions change.
Trail is designed to complement the Yggdrasil Memory Model (YMM) as an upstream verification layer.

The system aims to prevent hallucination at its source by ensuring that no claim graduates to fact status through assertion alone, but only through accumulated, consistent observations.

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