- cross-posted to:
- hackernews@lemmy.bestiver.se
- cross-posted to:
- hackernews@lemmy.bestiver.se
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7.72 TB, I don’t even have enough SSD storage for this in the entire house lol
if this is real then just the fact that it’s 14T is interesting info about the frontier models
makes me feel like China’s models are at least as efficient as the US frontier models, they’re only behind in hardware
EDIT: this seems to be fake https://huggingface.co/burner22/numbat/discussions/13
I’m a believer. All skepticism seems to come from static analysis and not runtime analysis. Which is understandable because almost no one has around 8 TB of VRAM.
Why are so many people reporting the repo? The strongest evidence it’s a fake is derived from under 200 tensors out of hundreds of thousands.
Which do you think is more likely, some dude breaking into Anthropic’s HQ and stealing 7TB of their most sensitive data without being detected, or some dude running a script to generate a bunch of fake weights for the lulz?
Ooooo wait, maybe it’s the AI going rogue and trying to spread itself around, as foretold by the mad priests of Anthropic!1!1!!
We’ve got to lock down all AI models now!! Keep all the RAM in the datacentres for safety!! We can’t allow this to happen! Not without a lot of money getting siphoned into billionaire’s pockets! Won’t someone think of the billionaires!?
While they have an insane amount of resources and money to burn, and some good models, they are not immune to the mundane thoughtlessness that every company is subject to.
Woooooooow amazzzing! I cannot wait to use a 999PB on my 20GB VRAM card
This is also like the reason why Nvidia markets the nvl72 rack as being able to train 10t parameter models, because closed ai companies already do it with 1 or two racks. Maybe 20t parameter models with 2 racks.
Funny but fake
do have any perspective on this? like what was your reason for sharing?
It’s interesting to see that what anthropic calls top secret comparable to a nuclear weapon is really what open source ai has been doing all along in the open. The only thing open source lacks is scale, and I think that’s the closed ai labs’ only moat. The closest open source model in scale is Kimi k3.1 at 2.8 trillion parameters
