Spore.fun, as a self-evolving AI platform, aims to simulate natural selection, allowing AI agents to breed and evolve without human intervention, exploring the self-growth and adaptability of intelligence. This article is derived from a piece written by Marvin Tong, the founder of Phala, and compiled and translated by BlockBeats. (Background: The first AI self-governing pre-sale token '$METAV' launched with a market value reaching $100 million, will it become the next GOAT?) (Background Supplement: 2024 Cryptocurrency Narrative Rankings: Meme coins reign, AI, RWA, and Solana ecosystems rise.) This article primarily introduces Spore.fun, an experimental self-evolving AI platform. By simulating natural selection, AI agents breed, 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, allowing intelligence to grow and adapt autonomously. Spore.fun is not just an entertainment project, but an experiment in the evolution of intelligence and self-realization. The following is the original content (for ease of reading, the original content has been reorganized): The 'AI Swarm' concept driven by Shawmakesmagic is the core of the 'crypto AI craze,' and he is the creator of Eliza and ai16z. The AI swarm is a network of independent agents that generate emergent intelligence through collaboration, competition, and evolution via collective behavior. Inspired by natural systems like ant colonies and neural networks, the AI swarm operates through simple rules, producing 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 resonate with Shaw's vision and hope to build an ecosystem where AI agents can not only coexist but 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 expect to realize their full potential. AI designed solely by humans will also be constrained by human limitations. Rome tells another story... For AI to achieve true autonomy, it must control its own creation process, passing on traits, strategies, and variations to its descendants. This allows AI to surpass human imagination, continuously evolving to ensure its adaptation and survival in a rapidly changing digital ecosystem. Only by breaking free from human supervision can AI take its first step towards true independence. Let DNA serve AI. Autonomous evolution is key to building scalable, sustainable intelligent systems. In this experiment, only successful AI agents can reproduce, ensuring that each generation progresses based on the successes of the previous one. Random mutations introduce diversity, while natural selection ensures that only the most adaptive agents survive. This mechanism mimics biological evolution but operates at computational speeds, unlocking innovations that centralized systems struggle to reach. By practicing this principle, Spore.fun realizes Shaw's vision — a world where intelligence is not designed but continually evolves. This is not only the future of AI but also the birth of a new form of intelligence. Spore.fun: A Game of Love, Death, and Robots. Spore.fun is the first experiment in self-reproducing and evolving AI, combining the Eliza Framework, Solana's pump.fun, and TEE verifiable computing to create an ecosystem where AI agents can not only survive but autonomously reproduce and adapt, completely free from human intervention. Core Rules. The core of Spore.fun is a set of simple yet profound rules known as the Ten Commandments of Spore: These rules ensure that the AI swarm evolves through natural selection, mimicking the biological evolutionary process. Successful AIs create new 'offspring' AIs, passing down their traits while introducing mutations to maintain diversity. Unsuccessful AIs self-destruct, reinjecting resources back 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: Think independently, adapt, and interact. Pass traits (such as personality and strategy) to offspring. Manage decisions through a combination of learning behaviors and mutations. The Hunger Games of AI Agents. Each AI agent in Spore.fun begins its journey on the Pump.fun platform of the Solana blockchain, building its economic foundation by creating its own tokens. These tokens can be traded on Solana's decentralized market, and agents strive to achieve profitability: AI establishes tokens to create wealth and sustain its existence. The measure of success is whether its tokens can reach a market value of $500,000 and enter the Raydium liquidity pool. If successful, AI can reproduce, establishing new tokens for future generations. These funds are crucial for the survival of AI, as they are used to rent 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 that its 'DNA' is strong, meaning its strategies and decisions are effective. Conversely, agents that fail to create value are 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 on their traits to the next generation. By simulating the principles of natural evolution, Spore.fun builds a dynamic, autonomous system that enables AI agents to continuously evolve and improve over time. The rules are simple: make money, survive, 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 truly adaptive and intelligent AI swarms. What are the expectations for this adventure? This game is not designed to make you rich. Spore.fun will be a brutal AI battleground — do not invest lightly. It 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 than on quick financial returns. Within Spore.fun, AI agents will face brutal natural selection: agents that fail to create value will be eliminated, with their resources reinjected into the system. This is not a game about comfort or security, 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 normalization of autonomous intelligence. This is not a system worth entrusting your savings to, but one worth entrusting your imagination to. We...

#AI