AI systems are beginning to automate their own development cycles. Jack Clark highlights a shift toward autonomous research where models identify gaps and iterate on their own code. This creates a tight feedback loop between discovery and implementation. Practitioners should expect faster model iteration cycles as human bottlenecks in the research pipeline diminish.