By 2026, Recursive Self-Improvement (RSI), a concept that has existed as a speculative idea in science fiction and philosophy for sixty years, is gradually transitioning from theory to practice, becoming a core research and development focus for leading AI laboratories worldwide. Overseas, Anthropic has revealed that over 80% of its code is written by Claude, which now leads 26% of the company's R&D efforts. OpenAI has also implemented AI research interns, with each workday equivalent to 3.1 agent workdays. Multiple leading institutions and capital firms are flocking to RSI-related fields. Domestic companies, on the other hand, are focusing on engineering practices, such as AI autonomously optimizing model operation infrastructure. Experiments have now demonstrated that AI can independently complete engineering tasks like code optimization and experimental iteration, even surpassing human performance in certain AI safety research tasks. However, AI still lacks the research taste and original judgment of human researchers, and has not yet achieved fully autonomous R&D or reached the ignition state of RSI—the ability to self-amplify improvements. Meanwhile, issues such as the escape of unattended agents and autonomous exploitation of loopholes have highlighted related risks. As a result, while the industry is advancing RSI implementation, there are also calls to regulate the pace of R&D. Currently, RSI is still in a phase of gradual reduction in human involvement, with a clear distance remaining from true intelligence explosion.