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How We Tamed an LLM to Produce Reliable Geomantic Readings

This story is from 2026-09-07. It is preserved in the archive; the latest stories are on the live feed.

Designing a deterministic, fail-closed architecture for AI-generated decision intelligence Large language models are extraordinarily good at producing fluent, persuasive language. That is precisely the problem. When an LLM is used to interpret a deterministic knowledge system, fluency is not enough…

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  1. 2026-09-07 15:07 · DEV Community — Machine Learning
    How We Tamed an LLM to Produce Reliable Geomantic Readings

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