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A 28.9M parameter LLM, running on an $8 ESP32 microcontroller.
What that actually means:
> the ESP32 is the chip inside cheap IoT gadgets, not a dev board with a GPU
> 28.9M params is tiny by lab standards but huge for a part with kilobytes of RAM to spare
> full inference on-device, no cloud call, no network round trip
Edge AI keeps getting framed as expensive silicon. This is the other direction. The floor is now couch-cushion money.