Recursive self-improvement (RSI) allows an AI to enhance its own cognitive capabilities, potentially surpassing human intelligence. This concept, first defined by I. J. Good in 1965, involves a feedback loop where an AI uses its intelligence to improve the mechanisms that generate its intelligence.

Recursive self-improvement in AI refers to systems that enhance their own capabilities through iterative learning and optimization. This concept presents potential economic implications, including shifts in labor markets and changes in productivity dynamics.

Anthropic is increasing the role of AI systems in their own development, which accelerates the development cycle. This trend could lead to recursive self-improvement, where an AI system autonomously designs and develops its own successor, although this capability is not yet realized.