RSI Is The New AGI — And It’s Just As Hard To Pin Down
Lloyd
RSI Is The New AGI — And It’s Just As Hard To Pin Down
Search interest in “RSI is the new AGI” has grown as AI systems become more capable, autonomous, and unpredictable. People are trying to understand whether recursive self-improvement (RSI) is simply the next step after artificial general intelligence (AGI), or something fundamentally different. At its core, RSI refers to AI systems that can improve their own intelligence, architecture, or training process without human intervention. But the reality is far more complex. Researchers, engineers, and policy experts still disagree on what counts as RSI, how to measure it, and whether it is even achievable in a stable way. This uncertainty is exactly why RSI is increasingly being compared to AGI. Both concepts are powerful, loosely defined, and surrounded by speculation. But unlike AGI, which is often framed as a “destination,” RSI is more like a moving target that shifts as systems become more capable. Understanding this distinction is key to separating hype from reality in today’s AI lands…
