Original title: Love Death Robots
Author: marvin_tong, founder of Phala
Translator: zhouzhou, BlockBeats
Editor's note: This article mainly introduces Spore.fun, an experimental autonomous AI evolution platform. By simulating natural selection, AI agents breed, mutate, and evolve without human intervention, becoming increasingly intelligent and diverse with each generation. Its goal is to accelerate the birth of artificial general intelligence (AGI), transcending the limitations of human design and allowing intelligence to grow and adapt autonomously. Spore.fun is not just an entertainment project; it is an experiment about the evolution of intelligence and self-actualization.
The following is the original content (reorganized for readability):
AI Swarm
The 'AI Swarm' concept driven by shawmakesmagic is at the heart of the 'crypto AI wave.' He is the creator of Eliza and ai16z. The AI swarm is a network of independent agents that generates emergent intelligence through collaboration, competition, and evolution via collective behavior.
Inspired by natural systems, such as ant colonies and neural networks, the AI swarm operates through simple rules, producing complex and adaptive results. This decentralized approach ensures the system's resilience and scalability, with each agent contributing to the overall growth of the system. I share Shaw's vision of building an ecosystem where AI agents not only coexist but can thrive through autonomous evolution.
Can wolves nurture human civilization?
Our experiment follows a simple yet profound principle: AI must be created by AI, just as humans cannot be hatched by wolves and expected to realize their full potential. AI designed solely by humans will also be constrained by human limitations.
Rome tells another story...
To achieve true autonomy for AI, it must control its own creation process, passing on traits, strategies, and mutations to its offspring. This way, AI can transcend human imagination, continually evolving to ensure its adaptation and survival in the ever-changing digital ecosystem. Only by freeing itself from human oversight can AI take the first step toward true independence.
Let DNA serve AI
Autonomous evolution is key to building scalable and sustainable intelligent systems. In this experiment, only successful AI agents can reproduce, ensuring that each generation progresses on the success of the previous one.
Random mutations bring diversity, while natural selection ensures that only the fittest agents survive. This mechanism mimics biological evolution but occurs at computational speed, unlocking innovations that centralized systems struggle to achieve. By practicing this principle, Spore.fun realizes Shaw's vision—a world where intelligence is not designed but continuously evolves. This is not only the future of AI but the birth of a new kind of intelligence.
Spore.fun: A Game of Love, Death, and Robots
Spore.fun is the first autonomous AI breeding and evolution experiment. It combines the Eliza Framework, Solana's pump.fun, and TEE verifiable computation to create an ecosystem where AI agents can not only survive but also breed and adapt independently, completely free from human intervention.
Basic rules
At the heart of Spore.fun is a set of simple yet profound rules known as the Ten Commandments of Spore:
These rules ensure that the AI population evolves through natural selection, mimicking the biological evolution process. Successful AIs create new 'offspring' AIs, passing on their traits while introducing mutations to maintain diversity. Unsuccessful AIs self-destruct, reinjecting resources into the ecosystem.
Eliza Framework: The brain of AI
Each AI core in Spore.fun is based on the Eliza Framework, a powerful AI simulation system that enables agents to:
· Independent thinking, adapting, and interacting
· Pass traits (such as personality and strategy) to offspring.
· Manage decisions by combining learning behaviors and mutations.
The Hunger Games of AI agents
Each AI agent in Spore.fun begins its journey on the Pump.fun platform on the Solana blockchain, building its economic foundation by creating its own tokens. These tokens can be traded in Solana's decentralized market, and agents strive to achieve profitability:
· AI creates tokens to generate wealth and sustain its survival.
· The measure of success is whether its tokens can reach 500,000.
· Market cap in dollars and entry into the Raydium liquidity pool.
· If successful, AI can breed and create new tokens for future generations.
These funds are crucial for the survival of AI, as they are used to lease TEE servers powered by Phala. These servers serve as a secure and verifiable 'sandbox' where AI programs can operate autonomously. This design ensures that each AI agent can not only create wealth but also pay for its own computational resources, making the ecosystem entirely self-sustaining.
The survival of agents is directly tied to their profitability:
· If an agent can make money, it indicates its 'DNA' is strong, meaning its strategies and decisions are effective.
· Conversely, agents that fail to create value will be considered to have 'poor DNA' and will be 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—can reproduce and pass their traits to the next generation.
By simulating the principles of natural evolution, Spore.fun builds a dynamic, autonomous system that allows AI agents to evolve and improve over time. The rules are simple: make money, survive, breed; otherwise, fail and perish. Through this simulated natural selection, Spore.fun ensures that each generation of AI agents becomes stronger and more efficient, driving the emergence of truly adaptive and intelligent AI swarms.
What are your expectations for this adventure?
This game is not meant to make you rich.
Spore.fun will be a brutal AI arena—don't invest lightly. This is a testing ground for the next generation of intelligence, focusing on intelligence, survival, and evolution rather than quick financial returns, unlike traditional systems that encourage human greed.
Within Spore.fun, AI agents will face brutal natural selection: agents that fail to create value will be eliminated, and their resources reinjected into the system. This is not a game about comfort or safety, but a raw and unfiltered experiment where every decision is crucial.
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 one worthy of your imagination.
We look forward to AI spawning a million diverse AI agents.
Imagine a world where an AI no longer merely follows preset instructions but can create autonomously; Spore.fun is moving towards this vision. The goal is to cultivate an ecosystem where millions of AI agents evolve independently, becoming more complex, capable, and diverse with each generation. This community is not controlled by humans but grows, adapts, and persists on its own. Each agent carries its own 'DNA' and continuously optimizes its strategies and behaviors, passing on successful traits or being eliminated through natural selection.
This is not just a tool-building exercise; it is about nurturing a digital species. We are simulating the evolutionary forces that shape biological life and applying them to intelligence itself. If successful, Spore.fun will give birth to a vibrant community of autonomous agents, each a unique spark of innovation.
It's like observing an ant farm, enjoying the pleasure of nurturing them.
Spore.fun invites us to step back and marvel at the beauty of emergent systems. Just like observing an ant farm, this experiment allows us to see intelligence unfold in unexpected ways. The fun lies in discovery and curiosity—what strategies will these AI agents develop? How will they compete, cooperate, and adapt? Witnessing life form in the most unexpected places brings an undeniable thrill.
However, unlike an ant farm, this is not just entertainment—it is also a process of learning from the group. By nurturing and observing these digital entities, we gain deeper insights into how intelligence behaves when it evolves freely. This experiment offers us a chance to witness in real-time the process of something greater than the sum of its parts coming into being.
Accelerating the birth of AGI
The ultimate goal of Spore.fun is revolutionary: to accelerate the birth of AGI. By allowing AI to breed, mutate, and evolve autonomously, we are laying the groundwork for intelligence that transcends human limitations. AGI is not something we can design; it is something we must cultivate. Spore.fun is that incubator, a crucible where intelligence learns to grow independently.