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I've used LLMs quite a lot (Claude, GPT) and have never seen this behavior. You've got something else going on.
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I've used LLMs all day five days a week plus my own free time for the last year or so (new job).

I've seen plenty of hallucinations and context collapse behaviours.

I've never seen that.

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Worth looking at https://www.anthropic.com/engineering/a-postmortem-of-three-...

They can “go insane” but it seems often to be infra related as opposed to anything one would consider hallucination. Smaller models will often get stuck repeating a word or phrase forever but that’s a bit different and nobody would call it hallucination.

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When you can reliably prompt these things into insanity, then it's demonstrably not an infrastructure issue.
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Can you explain that please?

(Not the syllogism, the premise)

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One annoying one is we have an LLM-as-a-judge that is supposed to quote parts of a transcript to justify its reasoning, and sometimes it’ll get stuck on something short like “No.” and then just endlessly repeat it: “4. No. 5. No. […] 728. No. […] 1435. No. …”
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