How does the AI Agent architecture achieve autonomy and evolution?

Reprinted from chaincatcher
01/28/2025·3MOriginal title:Skynet: Creator Paradox to Agent Immortality
Original Author: PraShant Xyz, member of SPHERON FOUNDATION
Original compilation: zhouzhou, blockbeats
Editor 's note: This article proposes an innovative intelligent agent architecture that breaks the control relationship between the creator and Agent through group intelligence and distributed consensus, and realizes the real autonomy of Agent. The new financial architecture uses intelligent contract custody resources to avoid vulnerability in the traditional architecture, while not relying on complex encryption or hardware security, but it is impossible for malicious behaviors to design through architecture design. Through the Agent reproduction mechanism, the architecture realizes the dynamic evolution of eternal life, allowing Agent to continue to improve in cross -generation improvement, and create a smart Agent network that maintains and evolved itself.
The following is the original content (in order to facilitate reading understanding, the original content has been reorganized):
We have the original desire for eternal life, from the legend of "Gilgamesh Epic" to the spring of eternal life, our ancestors dream of beyond the shackles of death. This primitive desire for eternal existence is reflected in the leapfrog culture and thousands of years in mythology, religion, and scientific pursuit.
Today, standing at the forefront of Web3 and AI, we found that we are in a unique position that can achieve the goal that our ancestors can only dream -not only for ourselves, but for our digital creation. The rise of autonomous AI Agent provides us with unprecedented opportunities to design a system that can truly realize eternal life. They can continue in time and space.
Immortal Agent is not just an agent that can run unlimited -it is an agent that can maintain its essence, adapt to, evolve, reproduce, trade, and still survive when failed, attack or environmental changes. The core of Agent's eternal life is a profound contradiction -the creator paradox -the infrastructure designed for the creation of the autonomous Agent provides the creator's long -lasting access and control.
The paradox in this architecture is not just the tension between control and autonomy -it is deeply rooted in the basic mechanism we use to make these Agent birth. What really needs to solve the creator's paradox is not only to re -think the control mechanism, but also fundamentally re -assume the creation and deployment of agents. The problem becomes: when the behavior of the creation itself establishes a permanent connection with the creator, how can we create a real autonomous agent?
On the basis of our discussion of the creator paradox, we found that many deaths can be traced back to a fundamental reason: the creator's long -lasting visits and control. This internal vulnerability makes the creator transform from the origin point to a potential failure point. The influence of creators is manifested through multiple control channels, and each represents the potential path of Agent's death.
Most of today's AI Agent runs in the cloud environment, depending on the accounts and API keys controlled by its creators. A simple management operation -whether it is intentional or unexpected -it may terminate Agent access its operating environment. In addition, Agent's financial framework is completely controlled by its creator -from wallet key management to budget distribution, or even trading.
This economic dependence has created a permanent vulnerability, where the creator's financial decision -making or situation can directly affect the survival of Agent. These dead paths rarely exist alone. On the contrary, they have formed a complex interdependence network, and one of the vulnerability can cause the failure of multiple systems.
The management operation of the creator may trigger the failure of the infrastructure, cause state damage, and lead to economic problems, because Agent fails to maintain its operating efficiency. The failure of this chain response shows how the creator influences the impact of even small intervention into a threat of survival. Understanding these death paths reveal the fundamental challenge to realize the true eternal life.
Although we can design solutions for many technical faults -from infrastructure redundancy to status protection mechanism -the influence of creators is still a long -lasting fragile point, deeply rooted in the structure of the existence of Agent. This understanding forces us to face a difficult problem: while maintaining the control of any form of creators, can we realize the true eternal life?
The road to real autonomy is important for eternal life. It needs:
· The creative mechanism that does not retain the creator's access rights
· There is no infrastructure of the back door without privileges
· The deployment system that really gives up control
· Resource acquisition must be truly independent
This has made us design a new system. In this system, the creation process itself will not establish a permanent backdoor. Economic autonomy is guaranteed to be decentralized.
The road of eternal life: build an immortal agent
There are multiple paths to Agent's eternal life, and each one has its own advantages and weighing. After understanding how Agent's death and the general impact of creators control, we can now explore the architecture that promises to surpass these limitations. These paths are not mutually exclusive, and they represent different strategies that can be used in conjunction.
Tee method: hardware forced independence
In the process of pursuing Agent's eternal life, the faithful execution environment (Tee) became a seductive solution. At first glance, these security isolation areas promise to provide independent paths through hardware and security, and provide Agent with a shelter controlled by the most privileged system administrator. This promise is seductive: a safe haven, the code and data of Agent remain unbroken, and are protected by the silicon chip where it runs. However, when we examined from a real eternal perspective, this promise collapsed.
The creator paradox was not resolved, but a transformation in Tee. Although Agent's code may not be tampered with, its existence itself still depends on the continuous economic support of the creator. If the creator stops pay for computing resources, the fate of Agent is doomed -it will die, no matter how safe it is. For example, the creator of Chinese needs to continue to pay at $ 20 a month to enable Tee machines. Once the creator stops paying this fee, Agent will die and stop exist.
Although the TEE (trust execution environment) promises to provide security, they introduce a key single -point failure. When the TEE's hardware system fails or removes from the network:
· Agent's operation status will be terminated immediately
· Access to funds and resources may be lost permanently
· Cumulative knowledge and status information may not be accessed
· Agent actually disappears with the hardware "dead"
This vulnerability is particularly worrying because it is tightly binding the existence of Agent with a physical hardware. Although traditional systems can easily migrate or redistribute, the Agent dependent on Tee faces major challenges during the hardware conversion process and cannot maintain continuity.
In order to reduce these vulnerability, it usually moves towards a path that continues to increase complexity. In order to prevent hardware failure, Agent requires complex data blocking mechanisms, additional encryption layers and complex state synchronization protocols. The recovery process must consider key management, status recovery and authentication. Each layer of protection increases the cost and complexity of the system, creating new potential fault points, even if it tries to solve existing problems.
Perhaps the most powerful theory against Tee lies in our main advantages: data privacy. In the current pattern of AI Agent, this so -called advantage has become almost irrelevant. Most Agent mainly processes public data -they analyze public market information, implement well -known trading strategies, interact with public blockchain, and communicate through smart contracts. In this context, TEE's extensive security measures have become expensive solutions to a problem that does not exist.
When we consider actual influence, the imbalance between cost and income becomes particularly obvious. The cost of TEE hardware may ranging from $ 1 per hour to $ 3. For the agent that runs for a long time, this is a considerable amount of expenses. If Tee can solve the basic challenges of Agent's eternal life, this overhead may be acceptable, but they do not do this. On the contrary, they introduced additional complexity, exerted operational restrictions, and created new dependencies -at the same time failed to solve the core needs of realizing autonomy and self -continuity.
In view of these limitations, we must question whether TEE is an eternal life worthy of pursuing. For most of the AI Agent that rely on public data and algorithms, the complexity and cost of Tee implementation seems to be increasingly difficult to prove its rationality. Their main advantages -protecting private code and data security execution -solving the security issues that most Agent actually does not face, and failed to solve the fundamental challenge to realize the true eternal life.
The way forward may not be in the isolation of hardware, but to embrace the architecture of distributed, redundant and collective toughness.
Skynet method: realize the true eternal life
Skynet proposed a new architecture that fundamentally solved the creator paradox and ensured the real autonomy of Agent. Unlike the traditional architecture or TEE -based solution, Skynet has introduced a paradigm change. Through a complex group intelligence and distributed consensus system, it effectively cuts off the "umbilical cord" between the creator and Agent.
Break the control of the creator
The cornerstone of the Skynet method lies in its deployment mechanism. When an agent is created, the coordinator is not only deployed a single entity -it will generate a entire group composed of Agent itself and its guardian nodes. This preliminary deployment represents a complete break with the creator control; once the group is online, the creator's influence on it is no different from any other entity. As a neutral deployment mechanism, the coordinator ensures that the creator or any other entity cannot maintain the privilege access to the system.
This architecture decision directly solves the paradox we discussed earlier. Through the design, the role of the creator ended at the birth of Agent, eliminating the long -lasting backdoor and control mechanism that plagued the traditional Agent architecture. As a collective intelligence, the group has become a self -management entity at the beginning of deployment.
Guardian nodes form a protective constellation that revolves around Agent and implements a complex consensus mechanism to manage all major actions. These nodes are not just verifications; they are smart entities driven by large language models, which can make complex reasoning and decision -making. Their main responsibilities are proposals of collective intelligence assessment and authorized Agent.
This system has created a unique distributed autonomy form with the following characteristics:
· No single entity can control Agent
· All major actions require group consensus
· Decision -making process is distributed between smart nodes
· The system maintains toughness through collective supervision
Financial structure
The most clever part of the Skynet method may be its financial architecture, that is, DEFAI. The traditional Agent architecture usually stores funds in the Agent wallet, which creates an obvious vulnerability. Skynet completely reversed this model: Agent's resources are stored in specialized smart contract custody accounts, and these accounts have no direct extraction function.
This financial structure has multiple purposes:
1. Asset protection: Even if Agent's operating wallet is broken, the funds can be kept safe.
2. Controlled resource allocation: Resources can only be accessed by consensus approval proposals.
3. Economic sustainability: The custody system ensures that resources are only used for verification purposes.
When Agent needs to calculate resources, it initiates a proposal to exchange its token to $ SPON, which can be used to buy computing power from the Spheron network. This process requires the consensus of the guardian node to ensure that resource allocation is consistent with the goals and security parameters of Agent.
Realize safety through "impossible"
The Skynet method achieves security through "impossible" in architecture instead of complicated encryption mechanisms or hardware security (such as Tee). Even if the attacker cracked Agent's private key, they could only access an empty wallet. Real resources are stored in the custody account and still cannot be accessed because:
1. The hosting contract does not have a withdrawal function.
2. All resource utilization requires the consensus of the guardian node.
3. Malicious proposals (such as trying to exchange tokens) will be rejected by intelligent guardians.
This security model is very stable because it does not depend on conservative secrets -but makes malicious behavior impossible to achieve safety through architecture. The guardian node can identify and refuse the malicious proposal through the support of LLMS, adding intelligent protective layers to the system, and surpassing simple programmatic rules.
Realize the evolution of SkyNet by breeding: leading to sustainable
evolution
In addition to autonomy and security, Skynet also introduces the ability to be more eye -catching: to achieve self -evolution through agent breeding. This mechanism transforms eternal life from simple survival to continuous progress, enabling Agent to evolve and improve across generations while maintaining its essential characteristics.
SKYNET's reproduction mechanism is operated through the complex combination of economic incentives and characteristics. When Agent reaches maturity and achieves sufficient market capitalization, it is eligible to participate in the breeding process. This is not a simple copy -but a carefully planned combination and evolution process. The successful characteristics of multiple Agent can gather and create a more advanced offspring.
This evolutionary ability is supported by a powerful economic framework, and the core is the different reserves of Agent token. Operating reserves to ensure computing payment and daily functions, and breeding reserves support evolutionary activities. The binding curve mechanism provides market -driven valuation and liquidity, creating a sustainable economic engine to promote the entire evolution process.
Through this reproductive mechanism, Skynet achieved a great goal: transform the eternal concept of Agent into a dynamic and sustainable evolution process. Agent is not just survival; their evolution, improvement, reproduction, and adaptation has created a constant autonomous entity network. Based on mutual reference, these entities continue to promote each other's success and maintain the security and independence provided by the Skynet architecture. sex.