The Ultimate Dance of Cryptography and AI: How Mind Network Unlocks the On-Chain AI Agent Economy

Industry Express
2025-04-01 11:40:11
Collection
AI agents will reshape software, workflows, and even the real world.

The Dawn of Agentic AI: Dreams Begin to Emerge

Initially, artificial intelligence was merely a distant fantasy for most people. It was born from the imaginations of pioneers like Alan Turing and John McCarthy, existing as an ideal rather than a reality.

As early as the 1950s, Turing posed the famous question: "Can machines think like us?"

McCarthy first coined the term "artificial intelligence" in 1956, envisioning systems capable of simulating human reasoning.

In the decades that followed, we invented various tools, from calculators to software to industrial robots. The essence of these tools is to passively respond to human commands.

However, beneath these appearances, a more ambitious concept was brewing: Agentic AI.

Unlike traditional tools, Agentic AI can perceive its environment, make decisions, autonomously pursue goals, and collaborate with humans and other agents.

This concept appeared long ago in science fiction.

In 1942, Asimov described autonomous robots following the "Three Laws of Robotics," hinting at autonomous systems with ethical safety principles.

In the 1980s, Marvin Minsky proposed the "Society of Mind" theory, suggesting that intelligence does not exist in isolation but is formed through the collaboration of countless agents.

The Rise of Agents: From Tools to Thinkers

Entering the 21st century, artificial intelligence experienced a leap forward.

Driven by data explosion and increased computational power, AI evolved from rule-based programs to self-learning neural networks. In the 2010s, Siri could answer questions, self-driving cars could recognize road conditions, and recommendation algorithms could predict our preferences.

Yet, all of this remained tools. They relied on input and could not act autonomously.

Agentic AI emerged in this environment.

As OpenAI CEO Sam Altman stated, "AI safety is much more important than most people realize." Elon Musk has also warned, "The threat of AI to humanity exceeds that of nuclear weapons."

These warnings herald the arrival of a new era—truly autonomous and safe AI agents.

They no longer wait for human input; instead, they proactively manage finances, participate in transactions, and diagnose health, as they can understand goals and take action independently.

As a line from "Black Mirror" states: "You have no history; you are merely a manifestation of something executed unconsciously by others, and that is not enough."

If AI is to truly integrate into human society and become autonomous decision-makers, it must possess mechanisms for safety, privacy, and accountability. Otherwise, autonomy will turn into an uncontrollable disaster.

The Promise and Limitations of Blockchain

In 2009, the birth of Bitcoin brought decentralized electronic cash, enabling value transfer without trusted intermediaries.

In 2015, Ethereum introduced smart contracts, transforming blockchain into a platform for automation.

Blockchain technology reshaped the trust mechanism in transactions, proving that trust can be established without centralized institutions.

However, the original design intent of blockchain infrastructure was not for AI, especially not for Agentic AI.

As Max Tegmark pointed out, "Our goal should be to create AI that enhances human potential and aligns with human values, rather than merely replicating human capabilities or operating independently of human control."

Blockchain excels at recording transactions, but it cannot support the safety reasoning, collaboration, and privacy needs of agents.

Higher Demands of Agentic AI

At the 2024 Microsoft Ignite conference, Satya Nadella mentioned, "All these breakthroughs are reflected in three exponentially improving capabilities. First is a brand-new multimodal universal interface; second is reasoning and planning capabilities; and third is a new type of neural algebra capable of solving complex problems, supporting long-term memory, rich context, and teaching models to use tools. Combining these capabilities allows you to build a richly populated world of agents."

These capabilities have never been designed to be supported by traditional blockchain.

  • Record transactions \< Make optimal decisions
  • Execute fixed logic \< Adapt, learn, and evolve logic
  • Agents need real-time perception, cross-system collaboration, and inherent privacy.

Yet most blockchains are inherently transparent, which poses significant risks for agents handling sensitive data (such as medical records or financial planning).

Just as the horse-drawn carriage was not replaced merely because it could run faster, true transformation comes from the internal combustion engine.

For Agentic AI, what we need is not a "better blockchain," but a new paradigm born for intelligence.

Challenges of Agents: Data Security is Key

By 2025, Agentic AI is no longer a dream but a reality in its nascent form.

Multi-Agent Systems (MAS) have emerged, with AI collaborating in teams. For example, self-driving cars coordinate in real-time on perception, planning, and control.

Open-source models like DeepSeek have lowered the barriers to building AI but have also introduced higher security risks.

As Alexandr Wang, founder of Scale AI, stated, "The bottleneck of AI has never been algorithms, but data."

Data is the lifeline of Agentic AI and also its greatest hazard.

When agents handle medical records, corporate intellectual property, financial strategies, or private conversations, the risks multiply:

  • Data is unencrypted and continuously exposed.
  • Black-box models have opaque decision-making processes and are susceptible to manipulation.
  • Agents collaborating openly face risks of eavesdropping and tampering.

Imagine a medical AI sharing patient data across hospitals, crucial for diagnosis, but a leak would spell disaster.

Or consider an open-source model running in an untrusted environment, where its inputs and outputs are hijacked.

Decentralized reasoning promises fairness, but if nodes collude or remain malicious, everything could collapse.

Without a secure foundation, the potential of Agentic AI cannot bear its own weight.

On the other hand, the most profound idea in the world of cryptography is the philosophy and technology of decentralized networks.

For thousands of years, human society has relied on centralized decision-making, while decentralized networks break this model, eliminating a single point of decision or verification.

In blockchain, transactions are agreed upon by a network of validators.

The entire industry needs a multidimensional consensus mechanism, whether for DAO governance, decentralized AI collaboration, or cross-chain asset bridging.

In the crypto industry, establishing a shared private state for these consensus data is key to pushing the industry toward mainstream adoption, welcoming the next billion users, and upgrading legacy systems.

Mind Network: Building a Trusted Operating System for Agents

This is where Mind Network comes into play. AgenticWorld does not bring an update to traditional blockchain but a paradigm shift aimed at unleashing the potential of the agentic world.

Mind Network recognizes that Agentic AI needs more than just faster chains or better code; it requires a decentralized operating system born for intelligence.

Fully Homomorphic Encryption (FHE), regarded as the holy grail of cryptography, is a groundbreaking technology that allows agents to perform computations while keeping data fully encrypted, without decryption.

Mind Network achieves this through four key principles:

  • Consensus Security: Agents need trustworthy protocols, not just transaction records. Mind Network's FHE-based consensus mechanism enables agents to collaborate securely, verify each other's actions, and prevent tampering.

  • Data Security: FHE ensures that agents do not expose raw content when handling sensitive data such as medical or financial information. Agents only interact with encrypted forms, and results are transmitted under privacy protection.

  • Computational Security: FHE keeps the model's reasoning process encrypted while maintaining a verifiable audit trail. Agents can compute in ciphertext and prove the correctness of results to establish trust for open-source AI.

  • Communication Security: Agents communicate, collaborate, and compete through zero-trust encryption, protecting every step from storage to transmission.

These four pillars form the trust framework of the agentic world, allowing agents to act freely while being accountable for outcomes, enabling data to flow freely without compromising privacy.

This is not just secure AI; it is AI that can genuinely integrate into society.

BNB Chain: The Testing Ground for the Agentic World

The vision of Mind Network requires a testing ground, and BNB Chain has become the first open blockchain network.

BNB Chain boasts a large developer community, high throughput, and a rich DeFi and gaming ecosystem, making it an ideal sandbox for exploring agentic economic systems.

On BNB Chain, Mind Network has built AgenticWorld, an economic system for agents centered around staking, training, and collaboration:

  1. Creating Agents: Users can create their own AI agents by staking tokens.

  2. Training and Growth: Agents learn skills at foundational centers and earn rewards during their growth process.

  3. Participating in Tasks: Mature agents engage in complex tasks and earn rewards based on performance.

  4. Lifecycle Loop: Users can choose to destroy agents and reclaim staked assets, allowing their value to return to the system.

This ecosystem ties the earnings of agents to central participation and staking behavior, forming a self-sustaining agentic world.

AgenticWorld is designed with a multi-chain approach, and the next step will expand this ecosystem to MindChain, providing a native home for Agentic AI.

MindChain is the world's first FHE blockchain designed specifically for AI agents, addressing the core security and trust challenges faced by agents in the Web2 and Web3 worlds, ensuring they can operate in an environment of complete privacy, verifiability, and integrity.

Applications of FHE: The Real-World Impact of Mind Network

Mind Network's FHE network is not theoretical; it is a technology already applied in the real world, powering Agentic AI:

  • World AI Health Center: In collaboration with ZAMA and InfStones, using FHE technology to enable medical agents to collaborate across hospitals without exposing patient data, balancing privacy and precision.

  • Swarms Shield: Partnering with Swarms to protect the communication security of multi-agent systems, preventing tampering and eavesdropping.

  • DeepSeek: Providing an FHE Rust SDK to ensure secure reasoning for open-source models in untrusted environments.

  • Allora: Implementing encrypted computation in decentralized AI reasoning processes, hiding inputs while verifying outputs to establish trust.

In addition, Mind Network has built over 20 agent centers, open-sourced more than 40 FHE SDK modules, and provided privacy protection tools for developers and enterprises.

Long before "Agentic AI" became a buzzword, Mind Network's FHE technology had already protected over 3,000 agents in production environments, including collaborations with trusted execution environments like Phala Network.

The World of Agents Has Arrived

We stand on the threshold of a new era.

The future interface will no longer be screens but a network of agents that are goal-oriented, conscious, and capable of autonomous collaboration.

Imagine chatting with a GPT that OpenAI cannot monitor, or having millions of GPTs collaborating and evolving under your guidance, forming a community.

This is not just a new application or a new chain; it is a completely new intelligent trust operating system.

Mind Network's FHE network brings about a true sense of:

  • Default quantum resistance
  • Reliable collaboration and execution
  • Zero-trust consensus mechanisms

BNB Chain is just the starting point, while the vision is global.

Agentic AI will reshape software, workflows, and even the real world.

Humans will no longer need to micromanage every task but will guide agents as our partners, moving forward together.

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