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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. There has been a number of proponents that have pushed to pause or slow down AI development for the potential risks of runaway AI systems.[3][4]
- ^ 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.
- ^ Hutson, Matthew (2023-05-16). "Can We Stop Runaway A.I.?". The New Yorker. ISSN 0028-792X. Retrieved 2024-01-24.
- ^ "Stop AGI". www.stop.ai. Retrieved 2024-01-24.