In this episode of Generative AI 101, host Emily Laird breaks down recursive self-improvement, the feedback loop where AI begins helping build better AI. The reality check: this is not a chatbot fantasy, it is frontier labs using models to write code, run tests, build evaluations, and speed up the next generation of systems. When Anthropic says Claude authored more than 80 percent of merged code in its own codebase, the question stops being theoretical and starts becoming operational. This episode is about what happens when AI becomes part of the production line for AI itself.

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You now know more about recursive self-improvement than you did before you arrived.