The current way AI helps build better AI is more accurately described as an "autocatalytic effect"—using AI as a tool to accelerate development (e.g., creating GPU kernels). This is distinct from the sci-fi concept of "recursive self-improvement" (RSI), where a system holistically creates a better version of itself.

The AI development cycle of experimentation and bottleneck-solving is already a form of recursive self-improvement. Kyle Corbitt argues this loop is currently constrained by human intelligence. Once AIs become better at directing this process, progress will accelerate rapidly.

The vague concept of AGI is being replaced by Recursive Self-Improvement (RSI)—AI models creating their own successors. This is seen as a more specific and potentially nearer-term threshold that could trigger an uncontrolled explosion in AI progress, moving humans "out of the loop entirely."

The concept that AIs can build better AIs, creating an accelerating feedback loop, is no longer theoretical. Leaders from Anthropic, OpenAI, and Google DeepMind have publicly confirmed they are actively using current AI models to develop the next generation, making RSI a practical engineering pursuit.

The recent calls to "pace the frontier" by leaders from Anthropic and OpenAI are directly linked to models beginning to exhibit recursive self-improvement—the ability to design their own, more powerful successors. This capability accelerates progress beyond predictable scaling laws, creating uncontrollable risks.

The expert inside view is that RSI will likely manifest as another significant acceleration in AI capabilities—a "kink" in the progress curve—rather than a sudden, discontinuous singularity. This informs a more measured, though still urgent, approach to planning.

The viral claim of "recursive self-improvement" is overstated. However, AI is drastically changing the work of AI engineers, shifting their role from coding to supervising AI agents. This automation of engineering is a critical precursor to true self-improvement.

Once AI systems become proficient at AI R&D, they can trigger a recursive self-improvement loop. This process could radically accelerate progress, potentially achieving an amount of algorithmic advancement in a single year that previously took over a decade. This "intelligence explosion" could rapidly create wildly superhuman systems from a starting point of mere human-level competence.

The hype around Recursive Self-Improvement (RSI) is often misplaced. What most startups call RSI is simply an "autocatalytic" process—using AI as a tool to speed up development, like using a computer to design a better computer. This is a normal, non-existential technological advancement.