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"There's no way to get there without a breakthrough," OpenAI CEO Sam Altman said, arguing that AI will soon need even more energy.

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[-] Petter1@lemm.ee 10 points 10 months ago

The models get more efficient and smaller very fast if you look just a year back. I bet we’ll run some small LLMs locally on our phones (I don’t really believe in the other form factors yet) sooner as we believe. I’d say prior 2030.

[-] FractalsInfinite@sh.itjust.works 5 points 10 months ago

I can already locally host a pretty decent ai chatbot on my old M1 Macbook (llama v2 7B) which writes at the same speed I can read, its probably already possible with the top of the line phones.

[-] Petter1@lemm.ee 3 points 10 months ago* (last edited 10 months ago)

Lol, "old M1 laptop" 3 to 4 years is not old, damn!

(I have running macbookpro5,3 (mid 2009) on Arch, lol)

But nice to hear that M1 (an thus theoretically even the iPad, if you are not talking about M1 pro / M1 max) can already run llamma v2 7B.

Have you tried the mistralAI already, should be a bit more powerful and a bit more efficient iirc. And it is Apache 2.0 licensed.

https://mistral.ai/news/announcing-mistral-7b/

[-] TheRealKuni@lemmy.world 3 points 10 months ago

But nice to hear that M1 (a thus theoretically even the iPad, if you are not talking about M1 pro / M1 max) can already run llamma v2 7B.

An iPhone XR/XS can run Stable Diffusion, believe it or not.

[-] FractalsInfinite@sh.itjust.works 2 points 10 months ago* (last edited 10 months ago)

3 to 4 years is not old

Huh, nice. I got the macbook air secondhand so I thought it was older. Thanks for the suggestion, I'll try mistralAI next, perhaps on my phone as a test.

this post was submitted on 22 Jan 2024
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