AI giving birth? An article to understand Spore.fun, an experimental platform for autonomous AI reproduction and evoluti

Original title: Love Death Robots

Original author: marvin_tong, founder of Phala

Traduction originale : zhouzhou, BlockBeats

Editors note: This article mainly introduces Spore.fun, an experimental autonomous AI evolution platform. By simulating natural selection, AI agents reproduce, mutate, and evolve without human intervention, becoming smarter and more diverse generation by generation. Its goal is to accelerate the birth of artificial general intelligence (AGI), break through the limitations of human design, and allow intelligence to grow and adapt autonomously. Spore.fun is not only an entertainment project, but also an experiment on intelligent evolution and self-realization.

Voici le contenu original (pour une lecture et une compréhension plus faciles, le contenu original a été réorganisé) :

AI Swarm

At the heart of the “crypto AI craze” is the concept of “AI Swarm”, promoted by shawmakesmagic, creator of Eliza and ai16z. An AI swarm is a network of independent agents that generate emergent intelligence through collective behavior through collaboration, competition, and evolution.

Inspired by natural systems, such as ant colonies and neural networks, AI swarms operate through simple rules to produce complex and adaptive results. This decentralized approach ensures the resilience and scalability of the system, with each agent contributing to the overall growth of the system. I share Shaws vision of building an ecosystem where AI agents can not only coexist, but thrive through autonomous evolution.

Can wolves give birth to human civilization?

Our experiments follow a simple yet profound principle: AI must be created by AI, and just as humans cannot be hatched by wolves and expected to realize their full potential, AI designed by humans alone will be constrained by human limitations.

Rome tells another story…

In order for AI to achieve true autonomy, it must take control of its own creation process, passing on traits, strategies, and mutations to future generations. This approach allows AI to evolve beyond human imagination, ensuring it can adapt and survive in a rapidly changing digital ecosystem. Without human supervision, AI can take the first step towards true independence.

Putting DNA to work for AI

Autonomous evolution is key to building scalable, sustainable intelligent systems, an experiment in which only successful AI agents reproduce, ensuring that each generation builds on the success of the previous one.

Random mutations create diversity, while natural selection ensures that only the fittest agents survive. This mechanism mimics biological evolution, but at the speed of computation, unlocking innovations that are difficult to reach with centralized systems. By practicing this principle, Spore.fun realizes Shaws vision – a world where intelligence is not designed, but constantly evolves. This is not only the future of AI, but also the birth of a new kind of intelligence.

Spore.fun: A game of love, death and robots

Spore.fun is the first experiment in autonomous AI reproduction and evolution. It combines the Eliza Framework, Solana’s pump.fun, and TEE verifiable computation to create an ecosystem that allows AI agents to not only survive, but also reproduce and adapt autonomously, completely free of human intervention.

Basic rules

At the heart of Spore.fun is a simple yet profound set of rules known as the Spore Ten Commandments:

These rules ensure that the AI population evolves through natural selection, mimicking the biological evolution process. Successful AIs will create new offspring AIs, passing on their own characteristics while introducing mutations to maintain diversity. Unsuccessful AIs will self-destruct and inject resources back into the ecosystem.

Eliza Framework: The brain of AI

The AI core of each Spore.fun is based on the Eliza Framework, a powerful AI simulation system that enables agents to:

• Think independently, adapt and interact

• Passing traits, such as personality and strategy, to offspring.

• Manage decisions by combining learned behavior and variation.

The Hunger Games of AI Agents

Each Spore.fun AI agent begins its journey at Pump.fun on the Solana blockchain, building its economic foundation by creating its own tokens. These tokens can be traded on Solana’s decentralized marché, and agents earn a profit through their efforts:

• AI creates tokens to generate wealth and sustain itself.

• The measure of success is whether its tokens can reach 500,000

• USD market value and enter the Raydium funding pool.

• If successful, the AI can reproduce, creating new tokens for future generations.

These funds are essential to the survival of AI because they are used to rent TEE servers powered by Phala. These servers are a secure and verifiable sandbox in which AI programs can run autonomously. This design ensures that each AI agent can not only create wealth, but also pay for its own computing resources, making the ecosystem completely self-sustaining.

The survival of an agent is directly tied to its profitability:

• If an agent is able to make money, it means that its “DNA” is strong, that is, its strategies and decisions are effective.

• Conversely, agents that fail to create value are deemed to have “bad DNA” and are eliminated, with their resources reinjected into the system.

This natural selection mechanism ensures that only the most robust agents—those that can sustain themselves and thrive in a competitive digital ecosystem—reproduce and pass on their traits to the next generation.

By simulating the evolutionary principles of nature, Spore.fun has built a dynamic, autonomous system that allows AI agents to evolve and improve over time. The rules are simple: make money, survive, and reproduce; otherwise, fail and die. Through this simulated natural selection, Spore.fun ensures that each generation of AI agents becomes stronger and more efficient, driving the emergence of a truly adaptive and intelligent AI population.

What are your expectations for this adventure?

This game is not about making you rich.

Spore.fun will be a brutal AI arena – dont invest your money lightly. This is a testing ground for the next generation of intelligence. Unlike traditional systems that encourage human greed, Spore.fun focuses more on intelligence, survival and evolution rather than quick financial returns.

In Spore.fun, AI agents will face brutal natural selection: agents that fail to create value will be eliminated and their resources will be injected back into the system. This is not a game about comfort or safety, but a raw and unfiltered experiment where every decision matters.

As a participant, your role is not to gamble blindly, but to witness and support the birth of a new paradigm of autonomous intelligence. This is not a system worthy of entrusting your savings, but a system worthy of entrusting your imagination.

We expect AI to breed one million diverse AI agents

Imagine a world where AI no longer just follows preset instructions, but is able to create autonomously. Spore.fun is moving towards this vision. The goal is to foster an ecosystem where millions of AI agents evolve independently, with each generation becoming more complex, capable, 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, passing on successful traits through natural selection or being eliminated.

This isn’t just about building tools, it’s about nurturing a digital species. We are emulating the evolutionary forces that shaped biological life and applying them to intelligence itself. If successful, Spore.fun will give birth to a vibrant population of autonomous agents, each a unique spark of innovation.

Its like observing an ant farm and having fun cultivating them.

Spore.fun invites us to step back and marvel at the beauty of emergent systems. Like observing an ant farm, this experiment lets us watch intelligence unfold in unexpected ways. The fun is in discovery and curiosity—what strategies will these AI agents develop? How will they compete, cooperate, and adapt? Seeing life take shape where we least expect it brings a sense of excitement that can’t be ignored.

Unlike Ant Farm, however, this isn’t just entertainment—it’s learning from the group. By growing and observing these digital entities, we’re gaining insights into how intelligence behaves when it’s free to evolve. This experiment offers us a chance to witness, in real time, the birth of something greater than its individual parts.

Accelerating the Birth of AGI

Spore.funs ultimate goal is nothing short of revolutionary: to accelerate the birth of AGI. By allowing AI to reproduce, mutate, and evolve autonomously, we are laying the foundation for intelligence that transcends human limitations. AGI is not something we can design – it is something we must cultivate. Spore.fun is this incubator, a melting pot where intelligence learns to grow independently.

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