The concept of recursive self-improvement (RSI) in AI dates back to the 1960s, where it was defined as a system that can surpass humans and design better machines. This feedback loop involves an AI using its current intelligence to improve its own cognitive machinery or training pipeline, potentially leading to faster progress in AI research. Recent advancements in frontier labs like Anthropic and OpenAI have accelerated this development. --- Why it matters: This matters because recursive self-improvement could lead to exponential growth in AI capabilities, making it crucial for researchers to understand the potential risks and benefits of this phenomenon. Source: https://lilianweng.github.io/posts/2026-07-04-harness/