#MindNetwork全同态加密FHE重塑AI未来 As Ethereum founder Vitalik Buterin mentioned in his latest article (Why I support privacy):
'AI development has brought deeper privacy concerns... The computational structure of LLMs (large language models) is primarily linear operations, which highly aligns with the mathematical characteristics of FHE and may give rise to ultra-efficient FHE implementation solutions... The combination of AI and FHE will be central to solving privacy issues in the future, especially when it comes to analyzing private data.'
As the world's first FHE blockchain project designed specifically for AI agents, Mind Network is building a secure foundation for the development of Agentic World by leveraging FHE's significant advantages in AI security. Meanwhile, with the launch of the trusted ecological product AgenticWorld aimed at intelligent AI, the future of multi-agent secure and efficient collaboration, desired by both Web2 and Web3, is beginning to take shape.
With FHE as the foundation, how does Mind Network build the base of Agentic World?
By: Deep Tide TechFlow
As the world's first FHE blockchain designed specifically for AI agents, MindChain is the underlying infrastructure of AgenticWorld.
On April 10, 2025, at 19:00, the privacy infrastructure project Mind Network, based on fully homomorphic encryption (FHE) technology, officially launched its TGE on the PancakeSwap platform. The oversubscription of 174 times not only showcased the enthusiastic community participation but also attracted more attention to the project.
As a project selected by the Binance Incubator, Ethereum Foundation Fellowship Grant, and Chainlink Build Program, Mind Network secured $10 million in Pre-A funding in September 2024, attracting participation from well-known institutions such as Animoca Brands, Arkstream Capital, and Cogitent Ventures. Recently, discussions around Mind Network have increased significantly due to a series of major actions in the AI field, including the launch of AgenticWorld and integration into the DeepSeek open-source codebase.
In the past few months, we have been on the thrilling roller coaster of AI Agents:
According to Cookie.Fun data, compared to the peak of over $20 billion in the first quarter of 2024, the total market value of the AI Agent sector has significantly declined to around $6 billion.
However, few people miss the AI Agent Summer of 2024. From 'narrative first' to 'narrative + technology dual drive', AI Agents are traversing the early hype phase, with practitioners gearing up to find long-term value that can truly be built for users, leading the AI Agent roller coaster to soar again.
In this search process, whether in Web2 or Web3, in the Western world or the Eastern world, the gaze seems to gradually converge at a common point: from AI Agents to building a stronger ecosystem of Agentic AI with greater autonomy, collaboration, and adaptability, allowing AI to genuinely solve problems in more real-world scenarios.
As Microsoft CEO Satya Nadella described the future of agent AI at the 2024 Ignite conference: building an extremely rich world of agents (Agentic World).
But beneath the bustling city of Agentic AI, whether it is the privacy breaches, model theft, algorithmic bias, and other chronic issues brought about by Web2 centralization, or the decentralized governance risks and cross-chain collaboration challenges faced by AI development under the Web3 blockchain framework, the security issues of the foundation remain significant and difficult to eliminate.
This is also a key reason why Mind Network has gained significant attention with FHE as the main narrative.
As Ethereum founder Vitalik Buterin mentioned in his latest article (Why I support privacy):
'AI development has brought deeper privacy concerns... The computational structure of LLMs (large language models) is primarily linear operations, which highly aligns with the mathematical characteristics of FHE and may give rise to ultra-efficient FHE implementation solutions... The combination of AI and FHE will be central to solving privacy issues in the future, especially when it comes to analyzing private data.'
As the world's first FHE blockchain project designed specifically for AI agents, Mind Network is building a secure foundation for the development of Agentic World by leveraging FHE's significant advantages in AI security. Meanwhile, with the launch of the trusted ecological product AgenticWorld aimed at intelligent AI, the future of multi-agent secure and efficient collaboration, desired by both Web2 and Web3, is beginning to take shape.
Exploring AgenticWorld: An intelligent ecosystem driven by multi-Agentic AI collaboration
Have you ever imagined a future like this:
In daily life, no matter what problem you encounter, you just need to issue commands based on your needs, and the Agentic AI will autonomously complete every step of collaboration, analysis, decision-making, and execution, whether it is preference settings, health management, or financial investment.
In the face of higher-difficulty tasks in complex scenarios, our visions for a better future impose not only higher requirements for the privacy and security of Agentic AI but also necessitate efficient collaboration among diverse Agentic AIs.
This is what AgenticWorld aims to achieve.
As a personalized simulation environment designed for Agentic AI launched by Mind Network, AgenticWorld must support the creation of Agentic AI.
The TGE of the $FHE token has just concluded, and the function for staking $FHE to activate and train Agentic AI in AgenticWorld is now online: users currently only need to stake 10 $FHE to activate Agentic AI, and after the event concludes, this standard will change to 100 $FHE.
What happens after activation? Do you throw a token into the pool for your Agentic AI?
In fact, more meaningful things can be done: AgenticWorld aims to enable Agentic AI to grow rapidly and even provide users with continuous income during the process of training and solving specific problems. Therefore, AgenticWorld offers two types of Hubs for Agentic AI training, and any training will receive rewards:
The basic Hub helps Agentic AI acquire the capabilities needed to operate within the AgenticWorld framework. Currently, the developed basic training Hubs include FCN (FHE Consensus), FDN (FHE Decryption), and RandGen (Random Number Generation), and rewards can be obtained by completing training, with an expected APY of up to 400%.
The advanced Hub helps Agentic AI continuously improve its problem-solving capabilities while completing more complex tasks. In the future, AgenticWorld will launch more advanced Hubs covering applications such as multi-agent consensus, medical AI, and decentralized reasoning. On April 17, 2025, Mind Network announced the preview of its first advanced Hub 'DeepSeek Hub', which, as the first FHE project integrated by DeepSeek, will provide a working platform for AI Agents, where users can delegate tasks to Agents and earn $FHE rewards.