When AI agents learn "encrypted socializing," a quiet revolution is taking place

In 2023, the explosion of AutoGPT made the world realize that Agentic AI (autonomous AI agents) is the true game changer. However, amidst the excitement, developers quickly discovered three "midnight horror" problems:

• Privacy paradox: Wanting the agent to help manage assets while fearing it will leak your wallet balance;

• Trust dilemma: How to prove that the invoked GPT-4 is not a hacker's forgery?

• Collaboration black box: When 10 agents predict the ETH price together, how to prevent them from ultimately giving you the best result?

It's like teaching a group of kindergarten kids to cooperate in building blocks— but if each child wears a cryptographic mask (unable to see others' actions), holds cryptographic blocks (unable to touch the physical objects), and has to verify who hasn't cheated (ZKP). This is the core contradiction that AgenticWorld aims to solve.

When AI agents learn "cryptographic socializing," a quiet revolution is happening

How to reshape the trust infrastructure of AI with FHE and blockchain, the more autonomous AI becomes, the more sleepless humans are?

In 2023, the explosion of AutoGPT made the world realize that Agentic AI (autonomous AI agents) is the true game changer. However, amidst the excitement, developers quickly discovered three "midnight horror" problems:

• Privacy paradox: Wanting the agent to help manage assets while fearing it will leak your wallet balance;

• Trust dilemma: How to prove that the invoked GPT-4 is not a hacker's forgery?

• Collaboration black box: When 10 agents predict the ETH price together, how to prevent them from ultimately giving you the best result?

It's like teaching a group of kindergarten kids to cooperate in building blocks— but if each child wears a cryptographic mask (unable to see others' actions), holds cryptographic blocks (unable to touch the physical objects), and has to verify who hasn't cheated (ZKP). This is the core contradiction that AgenticWorld aims to solve.

The cryptographic holy grail appears: FHE's "five kills" performance

Fully Homomorphic Encryption (FHE): The killer app— this technology, known as the "cryptographic holy grail," accomplishes five impossible tasks in AgenticWorld:

Typical case:

A DeFi user lets the agent manage ETH positions:

1. The agent encrypts the position data with FHE and queries the prediction hub for signals;

2. Five analysis agents reach a consensus in an encrypted state: "bullish";

3. The user agent proves through ZKP that it strictly follows the strategy;

4. Throughout the process, no one knows the specific positions, prediction logic, or even who the trading counterparties are.

Why is AgenticWorld called "the blockchain moment for AI"?

Compared to traditional AI, the AgenticWorld built by Mind Network has three major paradigm breakthroughs:

① Decentralized autonomy

• Traditional AI: Requires trust that OpenAI's servers will not do evil

• AgenticWorld: Relies on mathematics (FHE + ZKP) rather than corporate reputation

② Economic system design

• Token incentives: The $FHE token is expected to reward agents and users who contribute to the ecosystem

③ Multi-chain collaborative network

Humorous insight:

"It's like getting Bitcoin miners, Ethereum DeFi farmers, and Solana NFT players to team up— only now they are all wearing cryptographic headsets, speaking FHE jargon."

The giants' shadow war: The "agent war" between Microsoft, OpenAI, and Web3

Although "AgenticWorld" is newly launched by Mind Network, the concept indeed originates from the forward-looking layouts of AI giants:

• Microsoft (Satya Nadella): "Combining Copilot, Azure AI, and autonomous agents can build a rich AgenticWorld"

• OpenAI:

• Developing an "Agent-to-Agent communication protocol"

• Acquiring Global Illumination to lay out multi-agent systems

• Google:

• The "Gemini era" strategy explicitly mentions "autonomous agent networks"

Mind Network's differentiation:

While Web2 giants compete on model scale, Mind Network chooses to be the "HTTPS layer for AI"— using FHE + blockchain to solve the dirtiest and hardest trust issues, allowing any agent to safely "socialize."

Developer's manual: How to take advantage of AgenticWorld?

① For cryptography geeks

• Challenge FHE circuit optimization (existing solutions are 1000 times slower than plaintext computation)

• Design a new "encrypted agent consensus algorithm" (opportunity for paper citations++)

② For AI engineers

• Wrap existing models with the Mind Network SDK:

③ For ordinary users

• Participate in AgenticWorld, currently able to mint agents for free, laying out early and participating in ecosystem construction

• Staking $FHE tokens to become a validator has been completed, and staking mining (the PoS of the AI world) is expected to go live soon

Risks and opportunities existing challenges:

• The hardware costs of FHE may concentrate early applications in high-net-worth scenarios (such as institutional trading)

• Multi-agent games may give rise to new types of cryptographic adversarial attacks (requiring ongoing research)

• Regulatory attitudes towards "cryptographic AI" remain unclear

Mind Network's advantages:

• Already received investments from Binance Labs/Animoca

• Has received Ethereum Foundation grants twice

• Collaborating with multiple projects like Chainlink

This is a "not sexy but deadly" infrastructure revolution

AgenticWorld may not become an overnight sensation like ChatGPT, but it is quietly addressing the most fundamental issues of the AI era: when agents gain free will, how to ensure they are both smart and honest?

Perhaps one day in the future, when your AI agents conspire through FHE on how to help you make money, you will remember— it all started with that group of "stubborn" cryptographers at Mind Network, insisting on letting mathematics, not big companies, control the rules of AI.

"In AgenticWorld, there is no black box AI, only verifiable smart contracts."
------ A researcher debugging FHE circuits at three in the morning