58
you are viewing a single comment's thread
view the rest of the comments
[-] dimjim@sh.itjust.works 36 points 1 month ago

Yet, even when heavily compressed, it requires roughly 240GB of memory just to load.

Ah I'll just pop it in the ol' Raspberry Pi then, easy peasy.

[-] Nouvellalia@lemmy.world 5 points 1 month ago* (last edited 1 month ago)

Lol, "runs locally". I mean, Claude rubs locally too if you're in the room with the racks.

Edit: I said what I said. Get some lube and go hang out with Claude's hot, noisy, 5kw rack. You know what they say "Once you go stack you never go back."

[-] mindbleach@sh.itjust.works 2 points 1 month ago

CRAC will give you one hell of a blow-job.

And tinnitus.

[-] Valmond@lemmy.dbzer0.com 5 points 1 month ago

RPi 6: 256GB RAM

[-] kutt@lemmy.world 3 points 1 month ago

Currently vibe coding with it running on my vape!

[-] fluffykittycat@slrpnk.net 2 points 1 month ago

Basically they never had any moat to begin with but no one else seems to know how to fit that much intelligence into less space. It's possible that it just fundamentally has to take up that much space which would also imply that future Computing gainss are going to be more focused on memory than raw competition

[-] mindbleach@sh.itjust.works 4 points 1 month ago

Genuinely compact models are hitting benchmarks just a couple months behind the big boys. And eventually we'll get better at decoupling data from processing - so the model can do a regular-ass search of a regular-ass database and pull details into its context as needed. Ideally while also decoupling that context from the prompt, because apparently these things can have a hundred attention heads, and still nobody thought of having two text input fields.

[-] fluffykittycat@slrpnk.net 1 points 1 month ago

You'd think they'd have done that by now, and maybe some symbolic AI too

[-] mindbleach@sh.itjust.works 2 points 1 month ago

All focus has been forced onto LLMs and diffusion, even though only diffusion works properly. And those LLMs better iterate on the exact same mechanisms we've tweaked for the last six years, because all results will be compared to the state of the art, right the hell now, not a comparable level of development or compute.

this post was submitted on 23 Jun 2026
58 points (87.2% liked)

Futurology

4351 readers
16 users here now

founded 3 years ago
MODERATORS