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#within#temperature#verification#experts#matmul#cool#thanks#inference#sorry#understand

Discussion (8 Comments)Read Original on HackerNews

brainless22 minutes ago
I am sorry I did not understand all of it. But, would this allow running large MoE LLMs on a local network with experts spread out over multiple cheaper GPUs (or even CPUs)? This would perhaps be more useful than over the Internet, within offices for example.
s2l20 minutes ago
What if one wishes to use various busybox nodes within the house?

All the iot devices contributing to matmul but within a LAN?

snovv_crashabout 1 hour ago
Cool idea. How do you handle temperature in the verification?
vforno27 minutes ago
Ho thanks for the comment. Verification does not depend on temperature. Expert execution is deterministic (pure matmul). LUMABRI_VERIFY=N re-runs N% of the calls on a second replica and requires byte-identical output. Temperature (and sampling) happens only on the chatter, after the experts return their activations. So it can be any value (0, 0.7, 1.2…) without affecting the verification contract.
Scaledabout 1 hour ago
Wasn't a p2p ai model how skynet got started?

J/k, this looks cool :)

ptsnevesabout 2 hours ago
P2P inference sounds really nice and it would bring us back to the 2000s culture if not for the fact inference is already so cheap. Even so it is an insurance policy if the cloud providers or governments have ideas of further censoring and monitoring chats.
RIshabh235about 3 hours ago
great work
vfornoabout 2 hours ago
Thanks for the support!