SakanaのRSI Lab、AIの自己改善に賭けて計算資源の軍拡競争を打破へ
Sakana AIは、自らのコードを書く再帰的自己改善エージェントを開発するRSI Labを立ち上げた。フロンティアラボのGPU依存のスケーリングに挑む、効率的なAIへの道を提示するものである。
sakana ai introduced a research division dedicated to recursive self-improvement, outlining a four-phase roadmap toward agents that autonomously optimize their technical foundations and code. building on prior systems like the ai scientist and darwin gödel machine, the lab aims to demonstrate that algorithmic efficiency can rival the performance gains from scaling compute. this strategy offers a potential alternative to the dominant scaling paradigm, suggesting that iterative self-improvement could lower barriers to frontier ai development.