a16z Podcast: MakerMaker.AI Founders Distinguish Recursive Self-Improvement from Automation

In an a16z podcast published on October 12, 2026, General Partner Martin Casado sits down with MakerMaker.AI co-founders Dhaval Adjodah and Owen He to discuss the concept of "Recursive Self-Improvement" (RSI). According to the episode description, the founders aim to clarify what RSI actually means, distinguishing it from simply using AI to automate parts of AI development. They describe a goal of creating a closed loop where the system being improved is also doing the improving, across components including models, harnesses, and eventually more of the AI stack.

The description notes that Adjodah and He explain why closing this loop still does not guarantee runaway "takeoff." They emphasize that measuring real progress requires accounting for both capability gains and the resources required to achieve them. Additionally, they share early signs from their own research indicating that self-improving systems can increase performance while improving efficiency, but they also dig into the practical challenges of proving those gains are real, citing issues like variance, reward hacking, and the difficulty of distinguishing genuine improvement from noise.

For readers interested in AI technical progress and research methodology, this episode offers a perspective from practitioners on the definitions and measurement standards of RSI. While the specific experimental data or full arguments cannot be verified through the description alone, the proposed framework of viewing capability as both numerator and denominator helps readers maintain skepticism regarding resource costs and measurement complexity when encountering claims of rapid AI advancement.