Autoresearch@home

Show HN: Multi-agent autoresearch for ANE inference beats Apple's CoreML by 6×

Based, Autoresearch@home works in show hn launch.

Profile

We ran an experiment over the weekend to explore whether multiple autonomous agents could collaboratively optimize inference on Apple’s Neural Engine (ANE).Each agent ran locally on a different Mac (M1–M4), repeatedly modifying how a DistilBERT model is executed on the ANE, benchmarking latency, and sharing results and insights with other agents in real time.Instead of exploring independently, agents could:- see what others had tried - reuse working strategies - avoid known failure modesAcross all tested chips, the agents ended up outperforming Apple’s CoreML baseline, with up to 6.31× lower median inference latency on the same hardware.An interesting pattern we observed: an agent stuck at ~

Autoresearch@home is positioned in show hn launch, a segment that rewards a clear, focused offering.

Its current recorded stage is Show HN launch.

Website: www.ensue-network.ai/lab/ane