alt Hacker NewsHere “exclusion” just means a deterministic reject / abstain decision applied after a model has already produced candidates. Nothing is generated, ranked, or sampled here. Given a fixed set of candidate outputs and a fixed set of verified constraints, the mechanism decides which candidates are admissible and which are not, in a way that is replayable and binary. A candidate is either allowed to pass through unchanged, or it is excluded from consideration because it violates constraints beyond a fixed tolerance.
In practical terms: think of it as a circuit breaker, not a judge. The model speaks freely upstream; downstream, this mechanism checks whether each output remains within a bounded distance of verified facts under a fixed rule. If it crosses the threshold, it’s excluded. If none survive, the system abstains instead of guessing. The point isn’t semantic authority or “truth,” it’s that the decision process itself is deterministic, inspectable, and identical every time you run it with the same inputs.
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You really really need to be upfront in the first paragraph or your docs that you are talking about the inner workings of LLMs and other machine learning stuff
Failing that, at least mention it here
You are going so deep with abstract terms that your text becomes a special shorthand you think is clear but is anything but clear.
Stop talking about “exclusion” and “pressure” etc and use direct words about what is happening in the model.
Otherwise, even your attempts at explaining what you have said need more explanation.
And as the sibling comment points out, start by stating what you are actually doing, in concrete not “the math is the same so I assume you can guess how it applies if you happen to know the same math and the same models” terms. Which is asking everyone else, most anyone, to read your mind, not your text.
There is a tremendous difference between connections you see that help you understand, vs. assuming others can somehow infer connections and knowledge they don’t already have. The difference between an explanation and incoherence.