The evolution of artificial intelligence follows a progression from mathematical formalization to computational life. Initially, mathematical symbols were abstract, but Turing’s machine model gave them computability, leading to the development of computers. As individual computers interconnected, they formed a powerful parallel computing network, enabling distributed computing. Systems like Bitcoin exemplify how decentralized computation can establish trust and security, resembling autonomous digital entities. The fusion of AI tools with such systems may ultimately give rise to artificial intelligence life. This article focuses on the first stage—how Turing’s work on computability laid the foundation for modern computers, revolutionizing mathematics and expanding its applications across various fields.

The evolution of artificial intelligence follows a progression from mathematical formalization to computational life. Initially, mathematical symbols were abstract, but Turing’s machine model gave them computability, leading to the development of computers. As individual computers interconnected, they formed a powerful parallel computing network, enabling distributed computing. Systems like Bitcoin exemplify how decentralized computation can establish trust and security, resembling autonomous digital entities. The fusion of AI tools with such systems may ultimately give rise to artificial intelligence life. This article focuses on the first stage—how Turing’s work on computability laid the foundation for modern computers, revolutionizing mathematics and expanding its applications across various fields.  
  
  
https://bevm-blog.webflow.io/post/the-origin-of-computers-and-the-way-out-of-mathematics-from-formalization-to-computability