Modern artificial intelligence has reached a significant milestone: the ability to autonomously enhance their own capabilities. This self-improvement mechanism is rapidly becoming a standard feature among newly developed AI models. Rather than requiring human intervention for optimization, these advanced systems can identify performance gaps, implement refinements, and iterate on their architecture independently. This development marks a fundamental shift in how AI evolves and improves. As this capability becomes increasingly prevalent across new model releases, it signals the industry's progression toward more autonomous and efficient AI development cycles, reducing dependency on external optimization efforts.
