Nillion： How can you stand and make money in the era of AI? Firstly, I have great confidence in the Nillion project and have been tirelessly recommending it to my friends. I try my best to explain my logic in simple and understandable language. 1、 What is the fundamental contradiction between AI and blockchain at the data level? Whether it is blockchain or AI big models, there is an irreconcilable contradiction at the data level: blockchain emphasizes data transparency, while AI big models rely on centralized and closed data ecosystems for data training, both of which are difficult to meet the privacy needs of business scenarios. In other words, high-value sensitive data is neither willing to be on chain nor handed over to centralized institutions like OpenAI. But if these data cannot enter the market, it means that their commercial value cannot be truly unleashed. The core value of Nillion lies in providing a "usable but invisible" way to commercialize data. This is equivalent to building a brand new 'operating system' on the data layer of Web3 and even the entire AI industry. In a broader narrative, Nillion addresses one of the most pressing issues of our time: how can we defend our data sovereignty when the AI era arrives? 2、 How does Nillion solve this problem? Any system level solution must break through two barriers: engineering and industrialization. The former solves technical implementation, while the latter solves commercial implementation. Nillion has done quite well in both aspects. ——Engineering breakthrough: MPC+HE+TEE trinity Nillion integrates multi-party secure computation MPC, homomorphic encryption HE, and trusted execution environment TEE to form an efficient and secure data processing solution. It can be simply understood as: MPC: Data processing is distributed across multiple nodes, and no single node can obtain complete data, ensuring data security. HE: Data can be calculated in an encrypted state and can be directly used for AI training and inference without decryption. TEE: Hardware level protection ensures that even if hackers invade, they cannot access the data content. For example, in the process of brewing Maotai liquor, the entire formula, production process, and bottling process are completely encrypted, which cannot be cracked even if outsiders invade. In business language, it means the full lifecycle privacy protection of data. In the training process of AI models, this means that the entire process from data storage, analysis to model inference does not require decrypting data, ensuring privacy and enabling computation. ——Industrial breakthrough: security architecture+enterprise level solution+economic model Engineering has solved technical problems, but how can this solution truly be implemented and promote industrial development? This involves security architecture, commercial applications, and incentive mechanisms. Nillion mainly did three things: NilChain: Enhancing the security of the underlying architecture Through nilChain, even if some nodes are breached, data cannot be reconstructed. Modular design: lowering the threshold for enterprise access Nillion provides' blind modules' that allow enterprises to directly utilize privacy computing capabilities without modifying their own architecture. Blockchain incentive model: promoting data marketization Through token incentives, encourage users to contribute data while ensuring that data privacy is not compromised. Nillion's design logic is very clear, not only considering technical feasibility, but also fully considering commercial implementation, ensuring that this system can operate stably in the long term. 3、 The long-term value of Nillion 1. Fill the gap in the Web3 privacy race At present, public chains such as Ethereum mainly rely on zero knowledge proofs (ZK) to enhance privacy, but the computing power of ZK technology is limited and difficult to support large-scale AI applications. Nillion not only has stronger privacy capabilities, but more importantly, it solves the problem of computing power and improves the data availability and security of Web3. In addition, Nillion can serve as a privacy middleware for major public chains, providing KYC verification, transaction strategy confidentiality, and other services for DeFi and other applications through API interfaces, filling the privacy gap of Web3. 2. Promote the integration of AI+Web3 and reconstruct the data economy The existing AI computing relies on centralized computing power (such as Microsoft, Google Cloud), and Nillion makes AI computing decentralized while protecting data privacy. Furthermore, it can even build a closed-loop market of data computing power models, allowing users to truly own their own data and profit from it. At present, personal data on the Internet is not only a "streaking" state, but also usually a negative asset - it can not be realized, and may also be abused, leaked, or even used for fraud. 3. Nillion's vision is to make your data no longer a free lunch, your privacy no longer a hacker's ATM, and your identity no longer being sold at will. In other words, Nillion hopes that in the era of AI, you can stand and make money!