What is Recursive Self-Improvement (RSI)?

The process by which an AI system improves its own capabilities, such as its code, architecture, training methods, reasoning, or use of tools, and then uses those enhanced capabilities to make further improvements. Each cycle could hypothetically produce a more capable system than the last. It is often discussed in relation to the possibility of rapid gains in AI capabilities, superintelligence, AI alignment, and AI safety.