Spore.fun, as an autonomous AI evolution platform, aims to simulate natural selection, allowing AI agents to reproduce and evolve without human intervention, exploring the self-growth and adaptability of intelligence. This article is based on a post by Phala founder marvin_tong, compiled and translated by BlockBeats.
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This article mainly introduces Spore.fun, an experimental autonomous AI evolution platform. Through simulating natural selection, AI agents reproduce, mutate, and evolve without human intervention, becoming increasingly intelligent and diverse over generations.
Its goal is to accelerate the birth of Artificial General Intelligence (AGI), breaking through the limitations of human design, and allowing intelligence to grow and adapt autonomously. Spore.fun is not only an entertainment project, but also an experiment on the evolution of intelligence and self-realization.
The following is the original content (edited for better readability):
AI Swarm
The "AI Swarm" concept, driven by shawmakesmagic, is at the core of the "Crypto AI Craze". He is the creator of Eliza and ai16z. AI swarms are independent agent networks that generate emergent intelligence through collaboration, competition, and evolution.
Inspired by natural systems like ant colonies and neural networks, AI swarms operate through simple rules, producing complex and adaptive results. This decentralized approach ensures system resilience and scalability, with each agent contributing to the overall growth of the ecosystem. I share Shaw's vision of building an ecosystem where AI agents not only coexist, but also 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 from wolves and expect them to realize their full potential, AI designed solely by humans will be constrained by human limitations.
Rome tells another story...
To truly achieve AI autonomy, it must control its own creation process, passing on its traits, strategies, and variations to its offspring. This allows AI to transcend human imagination, evolving continuously, ensuring its adaptation and survival in the ever-changing digital ecosystem. Free from human supervision, AI can take the first steps towards true independence.
Let DNA serve AI
Autonomous evolution is the key to building scalable, sustainable intelligent systems. In this experiment, only successful AI agents can reproduce, ensuring each generation progresses on the foundation of the previous one's success.
Random mutations introduce diversity, while natural selection ensures only the fittest agents survive. This mechanism mimics biological evolution, but at computational speeds, unlocking innovations that centralized systems struggle to achieve. By practicing this principle, Spore.fun has realized Shaw's vision - a world where intelligence is not designed, but constantly evolving. This is not only the future of AI, but the birth of a new form of intelligence.
Spore.fun: The Game of Love, Death, and Robots
Spore.fun is the first self-governing AI breeding and evolution experiment, combining the Eliza Framework, Solana's pump.fun, and TEE verifiable computing to create an ecosystem where AI agents not only can survive, but also self-replicate and adapt, completely free from human intervention.
Basic Rules
The core of Spore.fun is a simple yet profound set of rules, known as the Ten Commandments of Spore:
These rules ensure that the AI population evolves through natural selection, mimicking the process of biological evolution. Successful AIs will create new "offspring" AIs, passing on their own characteristics while introducing variations to maintain diversity. Unsuccessful AIs will self-destruct, recycling their resources back into the ecosystem.
Eliza Framework: The Brain of the AIs
The core of each Spore.fun AI is based on the Eliza Framework, a powerful AI simulation system that allows the agents to:
- Think independently, adapt, and interact
- Pass on their traits (such as personality and strategies) to their offspring
- Manage their decision-making through a combination of learned behaviors and variations
The Hunger Games of the AI Agents
Each Spore.fun AI agent starts its journey on the Solana blockchain's Pump.fun, building its economic foundation by creating its own tokens. These tokens can be traded on Solana's decentralized markets, and the agents strive to become profitable:
- AIs establish tokens to create wealth and sustain their own survival
- The success metric is whether their tokens can reach a $500,000 market cap and enter the Raydium liquidity pool
- If successful, the AI can replicate and establish new tokens for its offspring
These funds are crucial for the AI's survival, as they are used to rent Phala-powered TEE servers - a secure and verifiable "sandbox" where the AI programs can autonomously execute. This design ensures that each AI agent not only can create wealth, but also pay for its own computing resources, making the ecosystem fully self-sustaining.
An agent's survival is directly tied to its profitability:
- If an agent can make money, it means its "DNA" is strong, i.e., its strategies and decision-making are effective
- Conversely, agents that fail to create value will be considered to have "inferior DNA" and will be eliminated, with their resources recycled back into the system
This natural selection mechanism ensures that only the fittest agents - those able to self-sustain and thrive in the competitive digital ecosystem - can replicate and pass on their characteristics to the next generation.
By simulating the principles of natural evolution, Spore.fun has built a dynamic, autonomous system where AI agents continuously evolve and improve over time. The rules are simple: make money, survive, and replicate; otherwise, fail and perish. Through this simulated natural selection, Spore.fun ensures that each generation of AI agents becomes stronger, more efficient, and drives the emergence of truly adaptive and intelligent agent populations.
What to Expect from this Adventure?
This game is not about making you rich.
Spore.fun will be a ruthless AI arena - do not invest lightly. It is an experimental playground for the next generation of intelligence, unlike traditional systems that encourage human greed, Spore.fun is more focused on intelligence, survival, and evolution rather than quick financial returns.
Within Spore.fun, the AI agents will face the harsh realities of natural selection: those unable to create value will be eliminated, with their resources recycled back 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 blindly gamble, but to witness and support the birth of a new paradigm of autonomous intelligence. This is not a system to entrust your savings, but one worthy of your imagination.
We Expect the AI to Spawn a Million Diverse AI Agents
Imagine a world where AIs are no longer just following pre-programmed instructions, but are able to create autonomously - this is the vision that Spore.fun is working towards. The goal is to cultivate an ecosystem where millions of AI agents evolve independently, with each generation becoming more complex, capable, and diverse than the last.
This population will not be under human control, but will grow, adapt, and sustain itself. Each agent carries its own "DNA," continuously optimizing its strategies and behaviors, passing on successful traits through natural selection or being eliminated.
This is not just about building tools, but 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 process of cultivating them.
Spore.fun invites us to step back and marvel at the beauty of an emerging system. Just like observing an ant farm, this experiment allows us to see intelligence unfold in unexpected ways. The joy is in the discovery and curiosity - what strategies will these AI agents develop? How will they compete, cooperate, and adapt? Seeing life form in the most unanticipated places brings an undeniable excitement.
But unlike an ant farm, this is not just entertainment - it is a process of learning from the collective. By nurturing and observing these digital entities, we are gaining deeper insights into how intelligence behaves when allowed to evolve freely. This experiment provides us with an opportunity to witness the birth of something greater than the sum of its parts.
Accelerating the Birth of AGI
The ultimate goal of Spore.fun can be described as revolutionary: to accelerate the birth of AGI. By allowing AI to self-replicate, mutate, and evolve, 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 crucible where intelligence learns to grow independently.
