+ <p class="post-excerpt">Moonshine Micro, from the Useful Sensors team behind the larger Moonshine Voice toolkit, runs voice activity detection, speech-to-text, and neural text-to-speech in 468 KB of RAM on a Raspberry Pi RP2350 that costs about 80 cents. The sub-500 KB number is real. The catch the HN headline glosses over is that the micro build's STT is a spelling-based command recognizer, not the free-form Whisper-class transcriber that the bigger Moonshine Streaming models provide. Both halves of the project, what each one actually does, and which one to reach for.</p>
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