Liquid AI just released LFM2.5-2.6B, a 2.6B parameter model that runs on a Raspberry Pi.
No cloud needed.
No GPUs needed.
The pitch: run AI agents on edge devices for the cost of electricity.
But here's the kicker - their own head of post-training, Maxime Labonne, told VentureBeat: "The best models will be in the cloud, and there's no problem with that." Edge AI is great for lightweight tasks.
Tool calling.
Calendar management.
Background automation.
But training frontier models?
Running production inference at scale?
That still needs real GPU compute.
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Originally posted on reddit