The essence of AI is not about whose model is more powerful; the key lies in how you build the pipeline.

Many people focus only on the accuracy of a single output, but what truly sets things apart? It's the architectural design.

Take ChatGPT's research capabilities, for example. Its strength isn't just in the robustness of the model. What's even more impressive is this mechanism: provide an answer → identify its own flaws → revise → dig deeper. This iterative process is the real core firepower.

Simply put, engineering thinking determines real-world effectiveness more than model performance does.