The FHE network of Mind Network brings about a true sense of: default quantum resistance, reliable collaboration and execution, and a zero-trust consensus mechanism.
The Dawn of Agentic AI: A Dream Emerges
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 introduced 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 was 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 had already appeared in science fiction.
In 1942, Asimov described autonomous robots that followed the "Three Laws of Robotics," suggesting autonomous systems with ethical safety principles.
In the 1980s, Marvin Minsky proposed the "Society of Mind" theory, arguing that intelligence does not exist in isolation but is formed by countless agents collaborating.
The Rise of Agents: From Tools to Thinkers
Entering the 21st century, artificial intelligence experienced a leap.
Driven by data explosion and increased computing 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 far 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 but actively 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 Promises 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 an automated platform.
Blockchain technology reshaped transaction trust mechanisms, 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 security 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 the ability to solve complex problems with a new type of neural algebra that supports long-term memory, rich context, and teaches models to use tools. Combining these capabilities allows you to build a richly intelligent agent world."
These capabilities have never been designed to be supported by traditional blockchain.
Record transactions and make optimal decisions
Execute fixed logic and adapt, learn, and evolve logic
Agents need real-time perception, cross-system collaboration, and inherent privacy.
Most blockchains are inherently transparent, and for agents handling sensitive data (such as medical records or financial planning), this openness poses significant risks.
Just as the horse-drawn carriage was not replaced because it ran faster, true transformation comes from the internal combustion engine.
For Agentic AI, what we need is not "better blockchain," but a new paradigm born for intelligence.
The Challenge of Agents: Data Security is Key
By 2025, Agentic AI will no longer be a dream but a reality in its early stages.
Multi-Agent Systems (MAS) have emerged, with AI collaborating in teams. For example, self-driving cars coordinate in real-time at the perception, planning, and control levels.
Open-source models like DeepSeek have lowered the barrier to building AI but have also introduced higher security risks.
As Scale AI founder Alexandr Wang 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, with opaque decision-making processes, are easily manipulated.
Agents collaborating openly face risks of eavesdropping and tampering.
Imagine a medical AI sharing patient data between hospitals, crucial for diagnosis, but if leaked, it would be disastrous.
Or, an open-source model running in an untrusted environment, with its inputs and outputs hijacked.
Decentralized reasoning promises fairness, but if nodes collude or remain malicious, everything can 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 encrypted world 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 multidimensional consensus mechanisms, 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 truly moving the industry mainstream, 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 a faster chain or better code; it requires a decentralized operating system born for intelligence.
Fully Homomorphic Encryption (FHE), as the holy grail of cryptography, is a groundbreaking technology that allows agents to perform computations while keeping data fully encrypted, without the need for decryption.
Mind Network achieves this goal 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 original 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 the outside world, establishing 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 the results, enabling data to flow freely without leaking privacy.
This is not only safe AI but also 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.
With a large developer community, high throughput, and a rich DeFi and gaming ecosystem, BNB Chain is 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:
Create Agents: Users can create their own AI agents by staking tokens.
Train and Grow: Agents learn skills in a foundational center and earn rewards during their growth process.
Participate in Tasks: Mature agents engage in complex tasks and earn rewards based on their performance.
Lifecycle Cycle: Users can choose to destroy agents to reclaim staked assets, allowing their value to return to the system.
This ecosystem binds the earnings of agents to central participation and staking behavior, forming a self-sustaining world of agents.
AgenticWorld is based on a multi-chain design, and the next step for this ecosystem will expand 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.
The Application of FHE: The Real-World Impact of Mind Network
The FHE network of Mind Network is not just a theory; it is a technology already applied in the real world, powering Agentic AI:
World AI Health Center: In collaboration with ZAMA and InfStones, utilizing 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, concealing 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 are standing 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, but a completely new intelligent trust operating system.
The FHE network of Mind Network brings about a true sense of:
Default quantum resistance
Reliable collaboration and execution
Zero-trust consensus mechanism
The 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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