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And when they do, you can train them or fire them, and they learn not to do it. LLMs change not a whit, and there's no one to take responsibility for the failu
by NateEag 8d ago
And when they do, you can train them or fire them, and they learn not to do it.
LLMs change not a whit, and there's no one to take responsibility for the failure (and thus no way to fix it).
As the new variation on the old theme has it, "A computer can never be held accountable, and so very many people are trying to get them make management decisions."
- IanCal 8d agoYou can’t train people to never make a mistake, particularly when doing highly repetitive work like this. You must build your systems to account for that regardless.
- enraged_camel 8d agoYes, exactly. Humans are non-deterministic as well, just in different ways. A tired human can make all sorts of errors for example, regardless of how much training they've had.
- NateEag 8d agoFor sure. But they do learn and improve. The models don't (yet).
- hollerith 8d agoThe models improve in the sense that GPT 5.6 succeeds at things GPT 5.5 fails at. It might be that the models have been improving in this sense faster than a human child improves.
- juiceland 8d ago> LLMs change not a whit, and there's no one to take responsibility for the failure (and thus no way to fix it). LLM output is nondeterministic and humans take responsibility for the failure the same way they take responsibility of a photocopy is too dark.
- NateEag 8d ago> humans take responsibility for the failure the same way they take responsibility of a photocopy is too dark. You mean, they notice it's too dark right after making it, change the settings, do it again, and give you the good copy? Because yes, that's my experience of humans.