Also known as: Recursive Self improvement
Recursive self-improvement is the hypothetical process by which an AI system improves its own design, code, or capabilities and then uses the improved version to continue improving further. In discussions of artificial general intelligence, it is often associated with debates about rapid capability growth and control risks.
Process in which early artificial general intelligence (AGI) systems rewrite their own computer code, causing an intelligence explosion resulting from enhancing their own capabilities and intellectual capacity, theoretically resulting in superintelligence.