V God's latest long article: In the era of AI crazy coding, how can your on chain assets survive? When AI starts automatically finding bugs and writing code at lightning speed, network security is facing a paradox: code explosion, vulnerabilities also explosion. Ethereum founder Vitalik has presented the ultimate trump card against AI attackers: formal verification. Simply put, it does not require auditors to read the code line by line, but instead writes security goals into mathematical propositions, allowing machines to rigorously prove the code and verify that it will never make mistakes. To understand V God's ten thousand word long article, all you need to do is clarify these four hardcore logics: Why has it suddenly become popular now? This technology has been around for decades, and in the past, it was marginalized because writing proofs was too anti human. But now, once problems arise with smart contracts and zero knowledge proofs (ZK), money is instantly wiped out. The scariest thing is that models like Claude Mythos will be able to automatically scan all vulnerabilities in two years. When you put cryptocurrency into immutable on chain smart contracts, code bugs become even more terrifying. Because once the code goes wrong, North Korean hackers may automatically transfer all your money, and you have almost no recourse. When we have powerful AI models, code bugs become even more terrifying. For example, models like Claude Mythos may already be able to automatically discover these vulnerabilities after two years of improvement. The only way to combat AI attackers is to have AI write formal proofs for us! Allow AI to write extremely efficient code in the lowest level assembly language, while automatically generating a set of mathematical proofs to lock in security. 2. 'Proven safety' is not a panacea Vitalik warns soberly that proving safety mathematically does not necessarily mean absolute safety. Because it cannot read complex 'human intentions'. It often overturns in these places: 1. Edge vulnerability: The core code proves it, but unverified edge code has bugs. 2. Wrong Goal Writing: The proof process is seamless, but the security attribute specification you set from the beginning was written incorrectly. 3. Side channel attack: The code is impeccable, but the hacker captures the electrical fluctuations of your computer from a few meters away and directly steals the private key. 3. The only solution to Ethereum The future Ethereum will be filled with extremely complex underlying components (STARK, ZK-EVM, etc.). The human brain is no longer able to reason end-to-end about this system boundary interaction vulnerability, only machines can do it. In these high-risk areas, the only way out is to have AI responsible for writing high-performance code and proofs, while humans are responsible for checking whether the final proposition deviates. The final pattern differentiation AI and formal verification are a perfect match. AI reduces accuracy, while formal verification brings rigor back. In the future, software will completely differentiate: a large amount of rough AI code will be thrown into the sandbox as "unsafe edge components", and bugs will be generated at will; Ethereum, the operating system kernel, and other "security cores" will shrink and lock under the protection of formal verification, becoming indestructible. This is the decisive victory of the defense over traditional network security.