this post was submitted on 17 Sep 2026
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[–] irate944@piefed.social 17 points 20 hours ago (1 children)

Respectfully disagree. It’s because of the systematic insistence that we need to build data centers to support a demand that doesn’t exist.

Same thing would happen if corporations lost their minds over hammers and insisted we had to build hammer factories everywhere and sell hammers to stirr your coffee.

[–] porous_grey_matter@lemmy.ml 3 points 11 hours ago* (last edited 11 hours ago) (1 children)

It's rare that "not very accurate" and "expensive" are both acceptable together in a tool. They fail on two axes of the fast/good/cheap spectrum so I still think it's an extremely niche tool, unlike a hammer which still fulfills an extremely common need for relatively little money.

[–] irate944@piefed.social 1 points 11 hours ago

Being common or niche has nothing to do with the quality of the tool. In fact LLMs should be a niche tool, because there's only a few use cases where they are genuinely useful.

Thus what I said before, the problem is the companies trying to shove it everywhere without thought or care.

On being accurate or expensive, it depends heavily on what model we're talking about and what exactly you're using it for.

Put a light model summarising your web search, yeah, it's an accident waiting to happen. Put a coding model helping you out building a small function while you focus on the main algorithm, it will save you a lot of time.