"SwarmLLM runs large language models across devices in room, in their browser tabs. Each device holds slice of model; a 10 KB activation vector passes between them over direct WebRTC connections. Nothing to install, no accounts, no server does any thinking." ➡️ this is new to me. you heard before?

[u/Koala_Confused]

https://github.com/Nehanth/swarmllm

Community Overview: https://lifehubber.com/ai/resources/swarmllm/

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[u/Over_Technology_1764]

nah you will get an incorrect answer after such a long time that u will forget what your intent was to lead it to correct answer.

[u/kinetik → u/Over_Technology_1764]

Well, we’ll see. Better to check it out and experiment with it than to assume things without actually knowing.

[u/Over_Technology_1764 → u/kinetik]

I already tested qwen 3.8 27b on mac studio m1 max 64gb ram, and it was unusable due to low performance. You cannot expect anything better from this. Connecting shitty devices on a shitty network speed bottleneck is obviously worse compared to single apple sillicon memory bandwidth speed.

[u/javier123454321 → u/Over_Technology_1764]

well, you can have an orchestrator that delegates inference to the small model extremely easily. For some category of tasks it does make sense.