Recursive’s Auto‑AI Beats Human Teams on NanoChat Benchmark, Slashes Training Time
Recursive’s automated AI research system closed the loop on idea‑generation, implementation and validation, delivering state‑of‑the‑art results on three core benchmarks. On the NanoChat autoresearch task it lowered validation loss to 0.9109 BPB—outperforming the best human‑run solution (0.9372 BPB) in 1.3× less GPU time. The team is open‑sourcing the artifacts for further work.