The mining mechanism of Bitcoin is like a gradually maturing intelligent agent. Just as Turing's' child machine 'accumulates intelligence through learning and experience, the Bitcoin network continues to evolve through the process of' mining '. In the initial stage, it is as fragile as a baby and requires a significant investment of resources. As time goes by, the difficulty of mining increases and the reward is halved, which is like natural selection of survival of the fittest, prompting the network to continuously optimize. The total amount of Bitcoin remains constant, like a genetic setting, while the mining difficulty adjustment mechanism is like a dynamic learning system that responds to environmental changes to maintain network stability. In this process, BTC holders and miners act like neurons, interacting with each other through trading and mining activities, jointly influencing the value and development direction of Bitcoin, forming collective intelligence. Therefore, the economic model of Bitcoin embodies Turing's concept of "seed AI", which goes from simple to complex and ultimately grows into a system with self-regulation ability. This is the reason why BEVM's economic model fully adopts Bitcoin to mine from 0 to 21 million. Because only in this way can we follow Turing's "child machine"/"seed AI" self learned intelligent growth principle from an economic model.