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Autonomous AI Research on a Laptop

Can a full research loop run on a MacBook? Cong Lu's Local Autoresearch lets Flint, a local 40B model from Recursive, improve a small program one experiment at a time: it proposes a change, writes the code, a runner tests it, and only improvements are kept.

We walk through the three examples Cong Lu shared: circle packing (sum of radii up 21.4% over a grid baseline), factory scheduling with 40 jobs on 20 machines (finishing time down 26.0%), and bike-rental demand prediction on the public UCI dataset (held-out error down 9.08%). Then the eight-worker setup: eight agents share one Flint model…

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