Both Ubuntu and Fedora have made it official: support is coming soon for running local generative AI instances.
An epic and still-growing thread in the Fedora forums states one of the goals for the next version: the Fedora AI Developer Desktop Objective. It is causing some discontent, and at least one Fedora contributor, SUSE’s Fernando Mancera, has resigned.
In this case, the “bag” is a sucking black hole, and venture capitalists are throwing physics-defying amounts of money in it to drag the LLMs out. As soon as they stop that, the “cat” goes back in the “bag”.
Local LLM models are an exception, but they are also atrocious by comparison. Most users will get some limited utility from an LLM if they had one, maybe, but it is being accommodated and foisted everywhere like its the invention of the mouse. It is nowhere near as paradigm shifting, but is being hyped, advertised, and marketed more aggressively than any product in history. So, the roaring hype makes everyone think that if they don’t get on board too, they’ll be left in the dust, so now well-meaning projects are getting bloated up for it too.
Many of us just want this technology to get the fuck away from us until it is worth using or dies already. Is that so very much to ask?
Using an llm mondel that isn’t super advanced is actually quite freeing in my opinion, the generated output is always mediocre at best, but it’s usually good enough for boilerplate and can be decent if you need to unstuck yourself. It also isn’t good enough to lull you into just letting the llm do all the work for you since it makes obvious mistakes.
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I mean, it sounds like a tool they occasionally find useful and don’t use otherwise. I’m not sure how “occasionally use a tool good enough for my purposes” is a waste. Whether it’s the most efficient application of that electricity is a different question, but without knowing their particular scenarios I can’t really compare whether other tools use less electricity for the same purpose.
(Yes, of course, “just do it all in your brain” is even more efficient, but if that’s an argument against utilities, you probably shouldn’t waste electricity on Lemmy either)
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They were talking about a locally hosted LLM, weren’t they? In that case, I’d be pretty confident in saying it eats resources if and when you use it, not all the time.
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Mind: I’m not the person running the local model.
I did say that the efficiency would be a different question neither of us can answer in this case, but I fully agree with you. I merely pointed out that a local model wouldn’t be a permanent waste of electricity.
That’s relative to how much space you have. I also have games on my disk that I haven’t played in a while, so they’re more or less wasted space. But they’re not particularly large, so I can spare a few GB for them, and if I do want to play them, I can jump in spontaneously.
Well I’m usually using these models to prettify matlab figures, it’s something that I can do but would take me a while, using an llm it takes a minute or two and gives a good enough result. The llms regression to the mean is also exactly what I want. I want a legible figure. I’d say that the electricity that the llm uses is less than the beefy consumed by me burning food to actually write the thing myself.