[AINews] not much happened today

Sakana AI launched a dedicated recursive self-improvement lab in Tokyo linking The AI Scientist, Darwin Gödel Machine, and ShinkaEvolve. The lab claims self-improving AI systems can be built under compute constraints. Hardmaru emphasized sample efficiency as the core design constraint. Industry discourse now treats RSI as a formal research program with benchmarks shifting to economically meaningful tasks.