autoresearch-webgpu: agents train small language models (in the browser!) and run experiments to improve them

Reddit r/LocalLLaMA / 3/14/2026

💬 OpinionTools & Practical UsageModels & Research

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Key Points

The project autoresearch-webgpu enables agents to train small language models directly in the browser using jax-js and WebGPU, with training happening locally and without a traditional GPU or Python setup.
It implements Karpathy's autoresearch loop where agents generate training code and run ML experiments, facilitating in-browser experimentation workflows.
The approach emphasizes a lightweight, portable hacking path for ML research, demonstrating client-side AI work without server-grade hardware.
The post presents a practical, hobbyist-style tool for experimentation rather than a formal framework, highlighting both potential and limitations of in-browser ML training.

title! built this out to play with Karpathy's autoresearch loop (agents generate training code / run ML experiments!) because I don't have a GPU and hate python setup. fun hack - uses jax-js / webgpu so all training happens locally!

submitted by /u/lucasgelfond
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