From the Three Laws of Robotics to AI Consensus, the Evolution History of AI Security The famous Three Laws of Robotics proposed by science fiction writer Isaac Asimov in his 1942 short story "Runaround". Today, in the field of AI security, I have come up with brilliant ideas! Let's sneak in! ⬇️ First Law: Robots must not harm humans or harm humans through inaction Second Law: Robots must obey commands given by humans, unless the command violates the first law Third Law: Robots can protect themselves without violating the first and second laws Asimov's Three Laws are not actual technical specifications, but a literary creation that has had a profound impact on discussions of robotics and AI ethics in the real world, inspiring thinking about AI safety, ethical design, and accountability. In today's AI development, although the three laws are not directly adopted, similar principles (such as "people-oriented" and "transparency") are often mentioned, especially in the context of trustworthy AI. When it comes to trustworthy AI, it is necessary to provide some additional explanation first. Trustworthy AI aims to enable users to trust AI systems and confidently use them for decision-making or daily life, while minimizing potential risks and negative impacts. How did it happen? If we apply the three laws of robotics, it seems that we should question the development of artificial intelligence in this way: Security: How to ensure that AI does not directly or indirectly harm humans? Obedience: Should AI unconditionally obey human instructions? Autonomy: How AI is limited by human set boundaries while ensuring autonomous capabilities To answer these three questions, it is necessary to achieve reliability, security, transparency, fairness, interpretability, and privacy protection when designing, developing, and applying AI. The statement of wanting both transparency and privacy protection is despised even in the field of technology development, but there is no other way, this is the real demand. What should I do? Let AI continue to move forward, use encryption technology to take trusted AI to the next level, and even apply it to blockchain. Why? Blockchain naturally has openness and transparency, which conflicts with the data sensitivity of AI. So here's a cautionary tale. If you see a project boasting about its AI capabilities on the blockchain, first take a look at how it handles data encryption. If it doesn't handle it well, then there's a high probability that it's just a fraud. When it comes to encryption, it makes people feel overwhelmed. The technology is too complex, consisting entirely of mathematical formulas, and I know every word of the noun, so I don't even know what it means when connected together. Let me understand it in the simplest language possible. Of course, I am also half baked, and the encryption technology here needs to be explained by real scientists. The first thing that is well-known to everyone is the Zero Knowledge Proof (ZK), which was once translated as "zero intelligence proof" due to the reverse translation of zks. Speaking of this technology alone, it is indeed a very powerful presence in cryptography. It is mainly used to verify specific propositions, prove facts without revealing details, and output true or false results. The core is to not disclose details. for instance. I want to prove that a wallet address belongs to me, but I don't want to tell any protocol, link my password, or account details. What should I do? At this point, ZK can be used to complete the verification and ultimately give you a yes or no result. Another recently discussed encryption technique is Fully Homomorphic Encryption (FHE). Another extremely difficult word to pronounce, obscure and hard to understand, but there's nothing we can do about it. Technical namers are often tech geeks, and it's really hard to understand. In the simplest language, it can be summarized as: Perform operations in encrypted state and output the encrypted result. Is this something that people can understand? I will continue to explain. Traditional encryption methods, such as AES or RSA, typically require decryption, processing, and re encryption of data after encryption. The uniqueness of FHE lies in its support for direct operations on ciphertext (encrypted data), and the result of the operation is consistent with the encrypted result obtained by performing the same operation on plaintext (unencrypted data). That is to say, if you give me a riddle, I don't need to know the answer. I will write on your riddle and continue to output the result in the form of a riddle. Only those who know the answer can view it. This technology is now known as the holy grail of encryption technology, as its emergence perfectly solves the problem mentioned above, which is how to protect privacy while ensuring transparency. The concept of FHE was first proposed by Craig Gentry in 2009, and since then, academia and industry (such as IBM and Microsoft) have continuously improved algorithms, such as based on CKKS, BFV, or TFHE schemes. Which blockchain project uses fully homomorphic encryption (FHE) and practices Trustworthy AI? There really is, this project is Mind Network, have you issued coins yet? Can I fuck? I... let's talk about their basic situation first. Mind Network is positioned as the infrastructure for on chain intelligent agents, empowering developers to achieve fully encrypted blockchain networks. Binance Labs, Hashkey, Animoca Brands, Chainlink, and others invested $12.5 million, and also received funding from the Ethereum Foundation. Mind Network is also the first FHE project integrated by DeepSeek, providing encrypted inference support for open source models. Swarms has partnered with Mind Network to develop an AI multi-agent collaboration system, and AI16Z, Vana, and Spore have also collaborated on it. Here we also need to insert a technical term 'HTTPZ'. We are already very familiar with "http" and "https". "http" is the early basic protocol of Web2 Internet, but both are clear text transmission, security and privacy are worrying. Under the advocacy of Google and other big companies, "https" gradually replaces "http" as the general protocol, but the centralized privacy and security issues remain unresolved. HTTPZ "is a new protocol developed in the context of FHE technology, which can compute data while maintaining encryption, achieving secure end-to-end transmission. AgenticWrold is the consensus foundation referred to as AI Agents in this protocol. The proposal of "HTTPZ" has given rise to an interesting topic: encryption sovereignty. If decentralized ledger and decentralized intelligence are integrated, the data citizens who survive in the era of "HTTPZ" will be called CitizenZ. The concept of CitizenZ originates from Friedrich Hayek's ideas on free markets and the principles proposed by Ries Mogg and Davidson in "The Sovereign Individual". Hayek advocated minimizing external control and maximizing individual freedom of choice. The Sovereign Individual further emphasizes the importance of applying this freedom in the so-called "information age" (very similar to the intelligent age). How do we understand CitizenZ? It's actually simple, everyone has absolute control over their personal speech, data, assets, and other digital assets. And these sovereigns must follow: Remove intermediaries: Participation rights, such as voting, do not require third-party intermediaries Trustless security: System security is based on cryptography, not entities Transparency: Fully verifiable process, based on blockchain, not affected by tampering Sovereign control: Individuals have complete control over basic rights such as property, data, and voting Taking citizen voting as an example, if CitizenZ were to conduct voting based on blockchain and AI in the future, what changes would there be compared to now? Verifiable: Zero knowledge proof verifies the validity of voting without revealing the identity of voters Encryption vote counting: Homomorphic encryption counting ensures the fairness of voting Anti tampering: Blockchain provides tamper proof voting records to ensure transparency It is not difficult to understand why Mind Network has continuously received funding from the Ethereum Foundation: as the underlying technological logic gradually takes root, we can begin to explore deeper paradigms and orders, and even implement Hayek and Davidson's ideas, providing a complete philosophical foundation for the construction of the Agentic AI ecosystem. In addition to providing infrastructure for industry projects, Mind Network also first built an "ideal country" on BNB Chain and MindChain - AgenticWrold. This is a multi chain, intelligent agent economy system centered around training and collaboration. Simply put, Mind Network has built a society of agents, including schools and enterprises, allowing AI to grow from learning to making money in one stop. Here, users can create their own AI agents by staking tokens, and through basic center learning, the agents can continuously grow and receive rewards. When your intelligent agent reaches a certain stage of growth, you can start doing tasks and working to earn money. If you are not satisfied with its performance, you can "kill" it and retrieve the pledged assets (scary). Did you notice? In fact, this is a system that runs on its own after setting goals, and the underlying technology is all the same as mentioned above. MindChain is a Rollup chain specifically designed for FHE verification, capable of processing big data and achieving fast settlement and transactions while maintaining high security. MindChain can provide remote staking support for a wider range of source chains through a reliable message passing mechanism, ensuring the credibility of the staking process. Now this chain has entered the tokenization stage, and the airdrops have been distributed. 11.71% of the total FHE supply will be used for airdrops, with minimum guaranteed access to at least 10 FHEs. Staking has now been opened, with a maximum of 400% APY. I completed the new subscription on Binance Wallet two days ago and raised over 170 times. Now, trading is open on Binance Alpha, Kraken, and common exchanges. The AI track@ Mindnetwork_xyz is worth paying attention to.