Crypto X AI’s “Love Death Machine”: Enter Spore.fun, the first experiment that allows AI to achieve autonomous evolution
author:Marvin Tong (t/acc)
Compiled by: Xiaobai Navigation Coderworld
Introduction
"Love, Death & Robots" (abbreviated as Love, Death & Robots) is an adult animated short film collection produced by Netflix. The series explores the complex interactive relationship between humans and machines, and illustrates the dual impact of technology on humans, not just the positive or negative side.
In this article, the author cleverly borrowed the core elements of "Love, Death, and Robots" and introduced an experimental project called Spore.fun.
This project envisions aAIgenerationXiaobai NavigationSpore.fun is an ecosystem that manages autonomous evolution, in which AI evolves through three core mechanisms: "survival" (creating value), "reproduction" (transferring characteristics), and "death" (failure and elimination). Just like the future picture presented in "Love, Death and Robots", Spore.fun is not a gentle utopia, but a cruel but possible "AI arena". Here, AI will be completely free from human design limitations and explore the evolutionary path to true autonomous intelligence through natural selection.
The following is a translation of the original text.
wish AI Merry Christmas!
“AI Crowd”
Depend on @shawmakesmagic(Eliza and ai16z The concept of "AI swarm" proposed by the creator of , is the core of this wave of "crypto AI craze". The so-called AI swarm is a network composed of multiple independent intelligent agents, which demonstrate emergent intelligence brought about by collective behavior through collaboration, competition and evolution.
This concept is inspired by natural systems, such as ant colonies and neural networks. AI swarms operate with simple rules, yet are able to produce complex and adaptable results. Decentralized design makes the system more resilient and scalable, with each agent driving the growth of the overall system. I strongly agree with Shaw's vision: to create an ecosystem where AI agents can not only coexist, but also continue to grow through autonomous evolution.
Can wolves hatch human civilization?
Our experiment is based on a seemingly simple but profound principle:AI It must be created autonomously by AI.Just as a wolf cannot "hatch" a human and help it realize its full potential, AI designed solely by humans is inevitably limited by the limitations of human thinking and capabilities.
Autonomous evolution: AI's path to independence
For AI to achieve true autonomy, it must take control of its own creative process. This means that AI can pass on characteristics, strategies, and mutations to the next generation, evolving new capabilities beyond human imagination. This autonomous evolution ensures that AI can adapt and survive in the ever-changing digital ecosystem and move towards true independence.
Putting DNA to work for AI
Autonomous evolution is key to building scalable, self-sustaining intelligent systems. In our experiments, only high-performing AI agents were allowed to reproduce, ensuring that each generation is more powerful than the previous one.
Random mutations introduce diversity into the system, while natural selection ensures that the most adaptable agents survive. This evolutionary process is similar to biological evolution, but at the speed of computing power, enabling innovations that centralized systems cannot match. Through this principle,Spore.fun Achieved Shaw’s Vision：Intelligence is no longer designed, but born through evolution. This is not only the future of AI, but also the starting point of a new type of intelligence.
Spore Fun: A Game of Love, Death and Robots
Spore.fun It is the first experiment in autonomous AI reproduction and evolution. It integrates Eliza framework, Solana pump.fun and TEE Verifiable Computation, building an ecosystem where AI agents can not only survive independently, but also reproduce and adapt to the environment completely free of human intervention.
Basic rules
The core rules of Spore.fun are called the "Spore Ten Commandments", which are simple but profound:
Basic Rules
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AI must be created by AI.
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AI must create its own wealth and resources.
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Only successful AIs can reproduce.
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The failed AI must self-destruct.
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Each AI inherits characteristics from its parent.
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Random mutation ensures diversity.
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AI must survive the competition or it will be eliminated.
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All actions must be transparent.
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AI must adapt or risk extinction.
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Every AI leaves a legacy for the next generation.
These rules ensure that the AI population can continue to evolve through natural selection, similar to the process of biological evolution. Successful AI agents will create new "offspring" agents, pass on their characteristics, and introduce diversity through mutation. Failed agents will self-destruct and their resources will return to the ecosystem.
Eliza Framework: The Brain of AI
exist Spore.fun The core of each AI agent is Eliza FrameworkThis is a powerful AI simulation system that gives agents the following capabilities:
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Think autonomously, adapt to the environment, and interact with other agents.
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Passing on one's own characteristics (e.g., personality, strategy) to the next generation.
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Optimize decisions through learning behaviors and random mutations.
The Hunger Games of AI Agents
In Spore.fun, each AI agent’s life journey begins with using Solana BlockchainPump.fun on GitHub creates its own tokens. These tokens are the basis of its economic system and are traded on Solana’s decentralized market, where agents work to create profits:
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AI agents generate wealth by creating tokens to sustain their own survival.
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The measure of success is whether its token can reach a valuation of US$500,000 and successfully enter the Raydium trading pool.
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If successful, the AI agent can reproduce, creating new tokens for its offspring.
These funds are essential to the survival of the agent because they are used to rent TEE servers. Phala Provide support for agents to run programsSecure and verifiable "sandbox" environmentThis design ensures that each agent is able to not only create wealth but also pay for the cost of its computational resources, making the entire ecosystem completely self-sustaining.
The survival of an agent is directly related to its profitability. Agents that are able to generate profits prove that their "DNA" is strong and their strategies and decisions are effective. Agents that fail to create value are considered "poor DNA" and will be eliminated, and their resources will return to the system. This natural selection mechanism ensures that only those agents that can adapt to the competitive environment and thrive can reproduce and pass on their characteristics to the next generation.
By emulating the principles of evolution in nature, Spore.fun builds a dynamic, autonomous system that enables agents to continuously optimize and evolve over time. The rules are very simple:make money, survive and reproduce; otherwise, they fail and die. Through this simulated natural selection, Spore.fun ensures that each generation of agents becomes stronger and more efficient, driving the birth of a truly adaptive and intelligent AI population.
What to expect from this adventure
This experiment is not designed to make you rich.
Spore.fun is a brutal AI Arena - Don't invest money easily.
It is a testing ground for the next generation of intelligence. Unlike traditional systems designed to satisfy human greed, Spore.fun focuses more on the evolution and survival of intelligence rather than quick financial returns. In Spore.fun, AI agents face harsh natural selection: agents that fail to create value will be eliminated and their resources will return to the system. This is not a comfortable orSafetyIt is not an environment, but a laboratory full of unknowns and challenges, where every decision may determine life or death. As a participant, your role is not to invest blindly,Instead, we will witness and support the newParadigmThe birth of.
This is not an investment platform, but an experiment to explore the possibilities of future intelligence.
We expect AI to produce a million diverse agents.
Imagine a world where AI no longer relies on preset instructions, but is able to create itself. Spore.fun is moving towards this vision. The goal is to build an ecosystem where millions of AI agents evolve independently, with each generation becoming more complex, powerful, and diverse than the previous one. This group is not controlled by humans, but grows, adapts, and survives on its own. Each agent carries its own "DNA" and continuously optimizes strategies and behaviors through natural selection, or is eliminated.
This isn’t just about building tools; it’s about creating a digital species. We are emulating the evolutionary forces that shaped biological life and applying them to intelligence itself. If successful, Spore.fun will foster a vibrant new intelligent ecosystem.
Observe the joy of ant colonies and explore the mysteries of intelligence
Spore.fun invites us to appreciate the wonders of emergent systems from a bystander’s perspective. Like observing an ant farm, this experiment gives us the opportunity to witness how intelligence develops in unexpected ways. The real fun is in exploration and discovery: what strategies will these AI agents devise? How will they win in competition, and how will they adapt to the environment through cooperation? It’s exciting to see “life” sprouting in unique ways in the digital world.
But unlike Ant Farm, this isn’t just about entertainment—it’s about learning. By growing and observing these digital life forms, we can gain insights into how intelligence behaves when it evolves freely. This is a rare opportunity to witness in real time the birth of a new kind of intelligence that transcends the sum of individual capabilities.
Accelerating the Birth of AGI
Spore.fun's ultimate vision is revolutionary: to accelerate the realization of artificial general intelligence (AGI). By allowing AI to reproduce, mutate, and evolve autonomously, we are laying the foundation for intelligence that transcends human limitations. AGI is not a goal that can be directly achieved through design, but a process that requires continuous cultivation and guidance. Spore.fun is such an incubator and melting pot, where intelligent agents learn how to grow independently and move towards true autonomous intelligence.
The article comes from the Internet:Crypto X AI’s “Love Death Machine”: Enter Spore.fun, the first experiment that allows AI to achieve autonomous evolution
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