Rohan Paul@rohanpaul_aiGoogle DeepMind首席战略官Jasjeet Sekhon称，当前AI基础设施支出是在为期望中的自我改进循环买单。其最强形式下，递归自我改进（RSI）将让AI以越来越少的人类监督设计、评估和训练更强的后继者。目前证据仍较窄：如Google AlphaEvolve提出算法后由自动评估器按人类目标打分，其内核改动仅将Gemini训练时间缩短1%，属有限改进而非自主设计后继者。
Recursive self-improvement → hyperexponential capability growth → the investment thesis behind present AI spending.
Google DeepMind Chief Strategy Officer Jasjeet Sekhon says AI infrastructure spending is financing a hoped-for self-improvement loop. ----
From "Berkeley RDI" YouTube channel， （full video link in comment）
来源：Rohan Paul · x.com
Google DeepMind首席战略官Jasjeet Sekhon称，当前AI基础设施支出是在为期望中的自我改进循环买单。其最强形式下，递归自我改进（RSI）将让AI以越来越少的人类监督设计、评估和训练更强的后继者。目前证据仍较窄：如Google AlphaEvolve提出算法后由自动评估器按人类目标打分，其内核改动仅将Gemini训练时间缩短1%，属有限改进而非自主设计后继者。
Recursive self-improvement → hyperexponential capability growth → the investment thesis behind present AI spending.
Google DeepMind Chief Strategy Officer Jasjeet Sekhon says AI infrastructure spending is financing a hoped-for self-improvement loop. ----
From "Berkeley RDI" YouTube channel， （full video link in comment）
来源：Rohan Paul· x.com