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Orphee Nessim

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Independent researcher. First post. No formal background in ML or mathematics.

2

2mo

Orphee Nessim

Subscribe

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Independent researcher. First post. No formal background in ML or mathematics.

2

2mo

Uncertainty Without Qualification: The Standard Output Problem in Autoregressive Language Models

A next-token distribution can signal uncertainty without indicating, by default, whether it comes from an underdetermined question or from missing information on the model side. In autoregressive systems, that missing qualification is fed back into context and can shape the rest of the generation. This note concerns a narrow point...

Apr 151

Why LLMs Have No Architecture for "I Don't Know" — And a Proposal to Fix It

**Epistemic status:** Research agenda / position paper. Core claims are conceptual and formally specified, but not empirically validated. I flag explicitly what is proven, what is conditional, and what remains open. **Process note:** I work as a canteen worker with no formal background in ML or CS. This paper was...

Mar 191