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.
Alexander Kruel
2026.01.09
75% relevant
The piece reports AI producing new formal proofs and programs via self‑play and verification; this maps to prior examples where automated systems discovered superior algorithms and indicates PSV could accelerate algorithmic innovation and provably correct code generation.
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.