"If you hit recursive self-improvement， that curve will go to hyperexponential， and that is a key part of the investment thesis， the scientific thesis， and a key part of why society's investing what it's currently investing in."

Google DeepMind Chief Strategy Officer Jasjeet Sekhon says AI infrastructure spending is financing a hoped-for self-improvement loop.

In its strongest form， recursive self-improvement （RSI） will let AI design， evaluate， and train more capable successors with progressively less human supervision.

The current evidence is still narrower： e.g. Google's AlphaEvolve proposes algorithms， then automated evaluators run and score them against human-defined objectives.

Google says its resulting kernel changes reduced Gemini training time by 1%， an example of bounded improvement rather than autonomous successor design.

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From "Berkeley RDI" YouTube channel， （full video link in comment）