Parallel Computing Philosophy: BTC and GPU represent the paradigms of parallel computing philosophy at the software and hardware levels, respectively. In the early 21st century, Moore's Law failed, making serial computing unable to grow further. Parallel computing began to rise rapidly, driving the skyrocketing market values of BTC and NVIDIA. Satoshi Nakamoto adopted a repetitive parallel computing model of searching for nonces to manage the value effect of BTC as a currency. This is a classic example of parallel computing at the software level. Meanwhile, Jensen Huang's GPU-based hardware-level parallel computing is the approach we are more familiar with. Today's large-scale AI models also fall under the software-level parallel computing management paradigm.