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The massage brush push saw @Mira_Network introduce the recent AI project situation, which can be understood! Six signals of transformation in AI x Crypto: In the past week, at the forefront of the intersection of AI and the crypto field, there are six keywords worth our serious consideration. They are not ordinary news updates but clear trend lines, indicating that the construction of decentralized intelligent networks is moving from vision to reality. 1. Grayscale launches a decentralized AI investment fund—AI Crypto is officially on the radar of mainstream capital. Grayscale's new fund provides a channel for qualified investors to access leading AI projects like TAO, NEAR, and RNDR. This is not only an endorsement of the "AI x Crypto" concept by institutional capital but also a strong signal that traditional finance is beginning to take Web3 intelligent infrastructure seriously. I personally believe that such "quasi-index investment tools" will rapidly expand in the future, serving not only as a bridge for capital entry but also enhancing the overall valuation anchoring of the sector. 2. Planck's Layer-0 AI blockchain: Building a truly decentralized intelligent network from hardware. Planck has released a Layer-0 blockchain designed specifically for AI computing. This is not just about launching a chain; it combines the foundational hardware (GPU) for AI computing with on-chain mechanisms. By 2025, it has already earned $1.5 million through GPU leasing. This reveals a very critical logic: the future of AI is not just about model decentralization but also about the decentralization of computing power. This stands in stark contrast to the traditional OpenAI/Google model. Planck is addressing the entire closed loop of "computing power, training, and validation," rather than just creating a token. 3. Billions raises $30 million, launching the vision of a universal "human x AI network." Billions has a grand vision to build a "universal AI x human network," but it does not seem like empty idealism—its investment lineup includes established Web3 players like @polychaincap and @0xPolygon. The $30 million funding also indicates that the social collaboration layer of the AI network is evolving from academic theory to product prototypes. In other words, the future of AI is not just a technical issue but also a governance issue, redefining economic incentives and social structures. 4. ICP 2.0: Writing dApps in natural language, making AI a development assistant on-chain. DFINITY's ICP 2.0 combines no-code and AI-driven development, allowing developers to generate smart contracts and application frameworks through natural language. This step is very noteworthy because it means: "The development threshold on-chain will be significantly lowered by AI." Not only did the coin price rise slightly (+5%), but more importantly, it released a future signal—people who do not understand Solidity can also participate in Web3 construction. 5. Gaia AI mainnet goes live, making AI model execution verifiable and transparent. Gaia AI focuses on "verifiable AI model execution," addressing the issue of AI black-boxing. In my view, it complements the ChatGPT/OpenAI model: you can not only see the results but also verify whether the model is running on secure, compliant, and decentralized nodes. Trustless execution has never been a luxury for AI; it is a necessity. 6. Rice Robotics launches the $RICE token, building a data market for robots and AI. The $RICE token is used to support data transactions between robots and AI developers, essentially establishing an economic system of "machines x intelligence" collaboration. Data was once the "philosopher's stone" in the hands of centralized companies, but this token mechanism may reshape how data is shared, priced, and used to train models. In the future, data will not belong to OpenAI but will be contributed by independent devices and valued through tokenization. These six updates together show that AI x Crypto is no longer just a buzzword but a systematic evolutionary path. From hardware, capital, model training, developer tools to data transactions, every key point is being reconstructed by Web3. This is not the victory of a single project but the embryonic form of a new ecosystem. My personal judgment is that AI x Crypto is the narrative worth long-term attention in the second half of 2025, especially for AI construction systems with on-chain verifiability, fair incentive mechanisms, and censorship resistance. Additionally, @0xPolygon, @arbitrum, @Aptos, and @dydx can also be followed.

AI x Crypto news we're keeping up with this week: Headlines: 1. @Grayscale Launches Decentralized AI Fund 2. @plancknetwork Launches Layer-0 Blockchain for Decentralized AI 3. @billions_ntwk announced their $30 Millions fundraise 4. Rice Robotics Debuts RICE Token for AI Data Marketplace 5. @DFINITY Upgrades ICP with AI-Powered Dev Tools 6. @Gaianet_AI Accelerates Mainnet Launch for Decentralized AI Investment & Infrastructure: Grayscale launched a fund for accredited investors to access AI-crypto tokens like TAO, NEAR, and RNDR. This signals growing institutional interest in blockchain-based AI infrastructure. Planck unveiled a Layer-0 blockchain for distributed AI computations, generating $1.5M from GPU leasing in 2025. The platform enables scalable, censorship-resistant AI model training and deployment. Billions announced a total capital funding of $30M to build the first universal Human and AI network with investments from @polychaincap , @cbventures, @0xPolygon, @LCVentures, @BITKRAFTVC among others. Development & Innovation: ICP 2.0 introduces no-code, AI-powered tools that let developers build dApps using natural language. The upgrade drove a 5% price increase and lowers barriers to blockchain AI development. Gaia AI launched its mainnet for verifiable AI computations on blockchain. The platform ensures transparent and trustworthy AI model executions across distributed networks. Data & Marketplaces: Rice Robotics is launching $RICE token on TokenFi to power an AI data marketplace. The token enables secure data sharing between robotics and AI developers for model training. The convergence of AI and crypto continues to accelerate, building more robust, decentralized systems that promise to redefine innovation and trust in both fields.

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