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Decision LLMs: When a Model Should Decide — and When It Shouldn't

This story is from 2026-10-26. It is preserved in the archive; the latest stories are on the live feed.

Ask practitioners what breaks in agent systems and the answer is rarely capability. The failure is quieter: the model decides, and nobody can tell sound from fluent. A model output is a sample. A decision has properties a sample does not have — determinism for a fixed input, invariants it must sati…

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  1. 2026-10-26 08:59 · DEV Community — AI
    Decision LLMs: When a Model Should Decide — and When It Shouldn't

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