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@david_chisnall@infosec.exchange

Post #2962820

2026-05-19 07:52 UTC

@eniko@mastodon.gamedev.place @jenniferplusplus@hachyderm.io Well, no, but you can nudge it into a different place in the latent space which might be closer to your desired output. The problem with wanting to do this is that it requires you to have a mental model of the shape of that space, which is a high-dimensionality space with things located nearby based on a similarity metric inferred from the training set. And even if you did somehow create a mental model of how this works, that mental model won’t be portable across different ML models (and often not across different training runs of the same model). You can build a bunch of heuristics (‘if I put X in the prompt, it increases the probability that the output will look like Y’) but these are not going to be consistent and reproducible. But that’s fine, because now you’re being charged per token, wrong answers that look close to the desired output are a feature, because they encourage you to try again.

Replies (1)

  • @worik@mastodon.social 2026-05-23 09:31

    @david_chisnall@infosec.exchange @eniko@mastodon.gamedev.place @jenniferplusplus@hachyderm.io it works. Better at somethings than others It is a tool, it has to be wielded. The more skill you have, the better the results It is unreliable but very powerful There is a bit or denial going on here, and lying drifters over there. Does not change the fact, all intellectual work is going to be effected

    Open ##2962821