@Phoenixyin13: This is not an outrageous statement; this self-evolving Compounding Loop is the real long-term killer. Now, according to this article, everyone should get used to packaging their entire workflow—including decomposition methods, verification rules, output formats, and your preferences—into a reusable Skill. This will be a capability from the future. Next time you encounter a similar task, just call the Skill directly with almost zero configuration, speed takes off, and quality is even higher.

This is not an outrageous statement; this self-evolving Compounding Loop is the real long-term killer. Now, according to this article, everyone should get used to packaging their entire workflow—including decomposition methods, verification rules, output formats, and your preferences—into a reusable Skill. This will be a capability from the future. Next time you encounter a similar task, just call the Skill directly with almost zero configuration, speed takes off, and quality is even higher. From my recent research into systems engineering and engineering cybernetics, this design is very reasonable and even quite elegant. Wiener and Qian Xuesen might smile at seeing such changes in the era. This Loop design is arguably an excellent instantiation of classic cybernetics principles—such as feedback, adaptation, requisite variety, hierarchical control, and system memory—under the constraints of current large models, and it's worth replicating. It doesn't require stacking parameters; it just needs to work at the system level. This is the way of thinking that I believe is worth learning. What truly makes humans intelligent is the entire control loop. From my daily study of cognitive science and human-computer interaction, this seems like simulating a highly adaptive distributed cognition, the ultimate amplified version of human teams, tools, and organizational memory.