2025-12-19 04:18 UTC
Replies (5)
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@pockets@lgbtqia.space 2025-12-19 06:26
@tlariv I've worked with people in the past who are native speakers, but never mastered the ability to write well. Just having a tool capable of taking the words that they type and outputting a professional-sounding block of text that means exactly the same thing but sounds less like an easily ignored uneducated person has been a game changer for them. They're not stupid, they just can't write pretty. I only wish the tool came with less baggage and controversy.
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@theogrin@chaosfem.tw 2025-12-19 09:16
@pockets The most ethical use I can think of would be as a search engine of documentation which already exists -- but better search engines, properly suited for that need, exist. Other than that, maybe a rubber duck. Stop it from sounding authoritative and just be something to bounce ideas off. You could call it... I dunno, Epiza or something. And maybe don't run it on a planet-killing data center.
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@dolmen@mamot.fr 2025-12-19 17:39
@pockets No, because no output can be guaranteed to be ethical. The current tech around LLMs is just "guardrails".
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@cks@mastodon.social 2025-12-19 04:35
@pockets@lgbtqia.space @mayintoronto@beige.party I'm biased from working as a system administrator in the computer science department of a university, but I think it's all about the sourcing and operation (which capitalism is demonstrating it's very bad at). The basic technical tricks used by LLMs can be applied on any corpus, and a narrow LLM trained from a narrow corpus might have a lot of utility in surfacing previously hidden repeated patterns and correlations in the corpus. But it won't be obviously impressive.
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@gnomon@mastodon.social 2025-12-19 04:46
@pockets@lgbtqia.space in principle I think that there could be, with a sufficiently long list of caveats. In practice, I have not seen any, nor do I see any industrial applications even vaguely aimed in that direction, nor any businesses making a case for delivering a service or a product that prioritizes ethical applications of the technology - indeed, quite the opposite, every major player is going extremely far out of their way to conceal the majority of their mechanisms and oversight processes.