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[-] Mwa@thelemmy.club 3 points 1 month ago
[-] apfelwoiSchoppen@lemmy.world 50 points 1 month ago

No one in this post about Google is talking about local LLMs.

[-] Mwa@thelemmy.club 4 points 1 month ago

i was trying to say Local LLMS dont destroy the environment(cause its using the power of your pc instead)

[-] bluespin@lemmy.world 46 points 1 month ago

Training the models still uses a vast amount of resources

[-] Mwa@thelemmy.club 2 points 1 month ago

well atleast every prompt you ask it wont harm the environment

[-] j4yc33@piefed.social 17 points 1 month ago* (last edited 1 month ago)

If you are browsing Piefed you are probably using about 10-20% of your computer's resources (if it is a computer capable of running a 4B model).

When you question the model and it pegs your system out, that is between 5 and 10 TIMES more resource utilization and power waste just to have a question answered that you could have taken the time to research, improve your own critical thinking skills, and learned something without changing your utilization at all.

Not counting the training debt.

[-] Mwa@thelemmy.club 3 points 1 month ago* (last edited 1 month ago)

i forgot about critical thinking, hehe.
but i hope my use of AI doesnt ruin it that much.
btw the best respones here.

[-] NihilsineNefas@slrpnk.net 9 points 1 month ago

"I'm not the one deforesting the amazon but I really love teak furniture, so I'M not the one hurting anybody by buying it"

[-] apfelwoiSchoppen@lemmy.world 15 points 1 month ago

Yeah, but Google search isn't using local models.

[-] Mwa@thelemmy.club 1 points 1 month ago
[-] humanamerican@lemmy.zip 4 points 1 month ago

Your computer uses more power when the GPU is "thinking" than when its idle, so there would still be environmental damage.

[-] VeganCheesecake 17 points 1 month ago

No? If everyone who uses LLMs globally switched over to a local LLM (after buying the necessary hardware), that'd still be a crazy amount of energy usage, just less centralised.

[-] Bytemeister@lemmy.world 5 points 1 month ago

More energy actually.

[-] Mwa@thelemmy.club 3 points 1 month ago

nah like using the current Gaming PC/Laptop you have, Like Intel CPU + intergrated graphics or smth.

[-] VeganCheesecake 6 points 1 month ago

I suppose, but that's a very different class of model. I think a more important question might be whether people actually need LLMs at all.

[-] Mwa@thelemmy.club 2 points 1 month ago

whether people actually need LLMs at all.

this is personal preference ig.

[-] VeganCheesecake 2 points 1 month ago

What I'm saying is that not all local LLMs are more power efficient, and that we are currently massively over-using the technology for things it isn't all that useful for.

[-] Mwa@thelemmy.club 1 points 1 month ago
[-] jtrek@startrek.website 6 points 1 month ago

There are so many better tools for this kind of thing.

[-] Mwa@thelemmy.club 1 points 1 month ago* (last edited 1 month ago)

like what?
plus i tend to use a search engine more often if i can find what i want.

[-] jtrek@startrek.website 3 points 1 month ago

For counting letters in a word? That's like a one line expression in Python or JavaScript (and other languages). JavaScript console is right there in your browser.

[-] Mwa@thelemmy.club 1 points 1 month ago

if javascript can do it,tell me how to do it?

[-] jtrek@startrek.website 3 points 1 month ago* (last edited 1 month ago)

const countOfT = (word) => word.split('').filter(i => i === 't').length
countOfT('colonialism')
0 

countOfT('this is an example sentence')
2 

There's probably a more elegant way to do it.

[-] Mwa@thelemmy.club 1 points 1 month ago

nice to know that does not need AI ig

[-] TheWeirdestCunt@lemmy.today 4 points 1 month ago

Good to see so many people misunderstanding how local hosting works.

Running your own local LLM is no worse than running a graphically intensive game like cyberpunk 2077 or red dead redemption 2.

[-] Mwa@thelemmy.club 4 points 1 month ago

thats what i was thinking

[-] VeganCheesecake 3 points 1 month ago

Yes. But compared to the number of people who currently use LLMs, not that many have hardware capable of doing that.

this post was submitted on 28 May 2026
288 points (100.0% liked)

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