Reproducible experiments without committing every tweak
Git diff tracking without commit clutter solves the real experiment iteration pain.

132 parameters replicates the biological neuron demo and exposes the hype.
ML researchers and neuroscience enthusiasts
Git diff tracking without commit clutter solves the real experiment iteration pain.
Comparing 16MB LLMs against gzip for text generation is a wild experiment.
This intentionally avoids generative LLMs and instead stitches together Whisper, Piper, spaCy, VADER, sumy and YOLO into a deterministic, local assistant — a practical tradeoff that kills API bills and prompt-injection risk. The blog feature (extractive summarization + site crawling) is an especially smart move: it produces usable titles/content without hallucination. It won't replace creative LLM outputs, but for offline, private automation this is a refreshingly pragmatic build.
Agents usually code; this one flashes firmware and manages BMCs on real bare metal.
Shuffling metaphor with real math—97.5% Fisher-Yates quality but solves no obvious problem over standard random.
5MB native C++ UI rendering HTML/CSS, but the framework itself is private.