UC Berkeley reports an automated design and research system (OpenEvolve) that discovered algorithms across multiple domains outperforming state‑of‑the‑art human designs—up to 5× runtime gains or 50% cost cuts. The authors argue such systems can enter a virtuous cycle by improving their own strategy and design loops.
— If AI is now inventing superior algorithms for core computing tasks and can self‑improve the process, it accelerates productivity, shifts research labor, and raises governance stakes for deployment and validation.
EditorDavid
2025.11.30
70% relevant
The piece reports ML finding non‑intuitive geometries and control policies that improve heat transfer and plasma confinement — analogous to instances where automated search produced superior algorithms, showing AI can invent better physical designs and control laws for propulsion.
Alexander Kruel
2025.10.11
100% relevant
Link: 'How AI is Upending Systems Research'—OpenEvolve results with quantified speed/cost improvements and the 'ADRS can improve itself' claim.
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