As an old leek who has experienced multiple rounds of bull and bear battles, I have seen too many "concept first, indefinite landing" king level Crypto projects fall. Will 0G Labs, an AI public chain with a financing of $325M, have a different outcome? We can only constantly verify it by observing its words (observing its narrative) and observing its actions (observing its development and implementation progress). Before examining the latest status of 0G Labs, let me make a critical statement: the failure of GPT-5 has ended the market's illusion of an "AGI moment," but it will usher in a prosperous era of Agenetic AI (AI Agent) applications. As Balaji expressed in the latest Vlog, AGI should not pursue "god like omniscience and omnipotence", but should become the kind of "digital high-level white-collar worker who can work" that we need in reality. The benchmark I most agree with for AGI is not how accurate it is in solving Olympiad math problems, nor is it about awakening self-awareness, but rather its ability to replace 50% of senior white-collar jobs. And this is precisely the first principle of 0G Labs' latest full chain Agent narrative: don't create gods, create agents. The current popular AI agent solutions on platforms such as Coze and n8n suffer from issues such as privacy leakage in plaintext storage of state data, inability to ensure the integrity of state and memory during AI agent transfer, and lack of dynamic update mechanisms. 0G Labs has provided an elegant comprehensive solution to the above problems through modular architecture design and encryption technology application: -Encrypting metadata storage: AI Agent's "intelligence" protected by key encryption -Oracle re encryption mechanism: AI agent re encrypts through a trusted environment during transfer -Decentralized storage integration: with 0G Storage to ensure that the memory and state data of AI agents are never lost -Dynamic update support: Agents can continuously learn and evolve I won't go into too many technical details, but the key is that this solution achieves full transferability of AI agents while protecting privacy, which is a difficult problem that traditional Web2 architecture projects have almost no solution to. In addition to technical issues, the traditional AI agent platform business model also has a fatal problem: the centralization of AI agent control and revenue distribution. Whether it's OpenAI's GPT Store or various agent platforms, they are essentially "cyber serfdom" - the hard-earned agents trained by users, the profits belong to the platform, the data belongs to the platform, and even the usage rights may be revoked at any time. The ERC-7857 standard promoted by 0G Labs has completely overturned this model. It turns AI agents into truly owned digital assets: -Full ownership: Your agent is yours, not rented -State persistence: Agent's memory, personality, and abilities can be securely stored and transferred -Clear attribution of benefits: 100% of the money earned by the agent belongs to the holder -Secondary market trading: Excellent agents can sell at high prices, forming a value discovery mechanism Attention ⚠️ There are currently three standard paradigms for AI Agent tokenization: AI Agent Memecoin, Utility Token for AI Agent Platform, and AI Agent iNFT based on ERC-7857. Among these three paradigms, the first has been largely falsified, the second lacks imaginative space, and the third contains infinite possibilities. Through ERC-7857, each agent is an independent on chain entity that can directly interact with other agents without platform permission, manage assets and profits autonomously, and have the ability to upgrade and evolve. Imagine if your customer service agent, analysis agent, and transaction agent could seamlessly collaborate, and you could also purchase stronger agents in the secondary market to strengthen yourself This is a trillion dollar market opportunity. What 0G Labs is building is not a single AGI tyrant, but a sovereign individual republic of AI agents - each agent is an independent digital citizen with their own identity, property, and rights. Before implementing sovereign individuals, we may need to first implement sovereign AI agents.