People once said that AI would remember everything.

But emerging self-evolving computing platforms are different—they don't simply replay the past, but continuously compute, evolve, and generate new possibilities.

Traditional AI systems rely on pre-trained datasets, essentially copying existing patterns. The real breakthrough lies in real-time computing power: dynamic adaptive evolution is always superior to static memory banks because it can continuously respond to the environment.

It's like the difference between a library and a brain. A library archives the past; the brain computes the present and future in real-time. Blockchain projects are exploring this path—making the computing process itself a core competitive advantage rather than being bound by historical data.

Key shift: from imitation to creation, from predefined to dynamic selection pressure. Under this paradigm, systems are not taught but evolved.