Recursive self-improvement

Recursive self-improvement (RSI) is a process in which an early or weak artificial general intelligence (AGI) system enhances its own capabilities and intelligence without human intervention, leading to a superintelligence or intelligence explosion.^[1]^[2]

The development of recursive self-improvement raises significant ethical and safety concerns, as such systems may evolve in unforeseen ways and could potentially surpass human control or understanding.^[3]

^ Creighton, Jolene (2019-03-19). "The Unavoidable Problem of Self-Improvement in AI: An Interview with Ramana Kumar, Part 1". Future of Life Institute. Retrieved 2024-01-23.
^ Heighn (12 June 2022). "The Calculus of Nash Equilibria". LessWrong.
^ Abbas, Dr Assad (2025-03-09). "AI Singularity and the End of Moore's Law: The Rise of Self-Learning Machines". Unite.AI. Retrieved 2025-04-10.

[1] Creighton, Jolene (2019-03-19). "The Unavoidable Problem of Self-Improvement in AI: An Interview with Ramana Kumar, Part 1". Future of Life Institute. Retrieved 2024-01-23.

[2] Heighn (12 June 2022). "The Calculus of Nash Equilibria". LessWrong.

[3] Abbas, Dr Assad (2025-03-09). "AI Singularity and the End of Moore's Law: The Rise of Self-Learning Machines". Unite.AI. Retrieved 2025-04-10.

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