Lux(λ) |光灵|GEB
Lux(λ) |光灵|GEB|Aug 07, 2025 13:24
Using mountain climbing as an example to explain completeness: The mainstream way to climb mountains now is by cable car or hiking. Taking Mount Sanqing in China as an example, Waishuangxi is the starting point of Mount Sanqing, and there are two options to climb the mountain: 1: Cableway 2: Hiking The sense of Mount Sanqing can be perceived by cableway climbing and hiking is different, and the completeness of the two can be compared relatively. Cableway up the mountain: With the help of mechanical power, although the goal of climbing up the mountain is achieved, the overall process of gradually understanding the mountain from bottom to top is missed. Compared to climbing, there is a lack of a lot of information and cognition about the mountain. Even if you climb to the top and see the same natural scenery as hiking, your perception of the mountain is not as complete as hiking. Of course, all of this assumption must follow the first axiom: the heart is the source of meaning. Using the same logic, we can examine the randomness brought about by the process of computing Nonce in Bitcoin's dissipative structure. The Nonce calculation process of Bitcoin's dissipative structure follows the phenomenon of "Poisson's patches", where infinite or disordered data input into the dissipative structure leads to the emergence of unpredictable random Nonce, resulting in irreversibility in time. Many formal systems based on Turing machine theory attempt to mechanically approximate such randomness through ordered rules or finite data inputs. Compared to dissipative structures, the completeness of this type of craftsmanship is far from satisfactory. The dissipative structure of Bitcoin can be likened to hiking, while the computational form theory of Turing machines is similar to cable car climbing. Although both climb to the top of the mountain, their meanings are different. Hiking is more complete, which leads to a more real and significant perception of the beauty of the mountain.
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