Show HN: Pluto AI model, run tiny MCUs hardware control of natural language (github.com)

Pluto is a groundbreaking Natural Language processing system designed to operate directly on microcontrollers (MCUs), enabling users to control hardware through conversational instructions instead of traditional programming. Its lightweight architecture, requiring only about 0.5 MB of RAM, supports various platforms including Arduino Mega, ESP32, Raspberry Pi, and STM32. This level of adaptability across different embedded systems allows Pluto to execute operations such as GPIO control, PWM, I²C communication, and more, effectively translating natural language into structured commands that the hardware can execute locally. Significantly, Pluto aims to pioneer a shift towards more intuitive hardware interaction, aligning with concepts of AGI (Artificial General Intelligence) by emulating human-like reasoning and task organization in its operations. Instead of relying on external AI APIs or cloud connectivity, Pluto processes instructions autonomously, offering a self-contained intelligence layer within the embedded system. Future plans for Pluto include richer capabilities and integration with smartphones, enhancing its functionality while maintaining a low resource footprint. By reimagining how embedded systems can be interacted with, Pluto represents a substantial leap towards making hardware controllable via natural language, potentially transforming how developers approach MCU programming.