Running an autonomous research loop locally with Recursive Flint, from scheduling to bike-demand forecasting
cong_ml · x · 2026-10-22
- Starting from OpenAI's Navier–Stokes work and AlphaEvolve's faster algorithms, the author argues AI research is getting very real — and Recursive Flint brings that magic to local laptops.
- The full research loop (proposing ideas, writing code, testing, improving) runs locally on a selection of tasks, with code and demos shared in the thread.
- Follow-up posts show two tasks: factory scheduling (jobs finished 26% earlier vs round-robin) and UCI Bike Sharing demand prediction (30.8% lower validation RMSLE, 9.1% lower held-out, via log + quadratic time features with residual trees).
Related event: Recursive Flint runs autonomous research on a laptop, open-sources 40B-A2B(7 posts)→
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