Interpreting the autonomous AI evolution platform Spore.fun: The experiment of love, death, and robots

Spore.fun is an autonomous AI evolution platform designed to simulate natural selection, enabling AI agents to reproduce and evolve without human intervention, exploring the self-growth and adaptive capabilities of intelligence. This article is based on an article written by Marvin_tong, founder of Phala, and compiled by BlockBeats. (Synopsis: aiPool's first AI self-pre-sale token "$METAV" opened with a market cap of $100 million, will it become the next GOAT? (Background supplement: 2024 encryption narrative ranking: meme coin is king, AI, RWA, Solana ecological rise) This article mainly introduces Spore.fun, an experimental autonomous AI evolution platform. By simulating natural selection, AI agents multiply, mutate, and evolve without human intervention, becoming smarter and more diverse from generation to 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 not only an entertainment project, but also an experiment on the evolution and self-realization of intelligence. The following is the original content (the original content has been consolidated for ease of reading and comprehension): AI Swarm, the concept of "AI Swarm" promoted by shawmakesmagic, is at the heart of the "encryption AI craze", and he is the creator of Eliza and ai16z. An AI swarm is a network of independent agents that generate emerging 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 decentralization approach ensures the elasticity and scalability of the system, with each agent contributing to the overall growth of the system. I share Shaw's vision of building an ecosystem where AI agents can not only coexist, but also thrive through autonomous evolution. Can wolves breed 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 reach their full potential, AI designed by humans alone will be subject to human limitations. Rome tells another story...... For AI to achieve true autonomy, it must take control of its own creative process, passing on characteristics, strategies, and variations to future generations. This approach allows AI to evolve beyond human imagination, ensuring it adapts and survives in a rapidly changing digital ecosystem. Without human oversight, AI can take the first step towards true independence. Making DNA work for AI Autonomous evolution is key to building scalable, sustainably intelligent systems. In this experiment, only successful AI agents can multiply, ensuring that each generation builds on the success of the previous generation. Random variation brings diversity, while natural selection ensures that only the most adapted agents survive. This mechanism mimics biological evolution but proceeds at the speed of computation, unlocking innovations that are difficult to reach with centralized systems. By practicing this principle, Spore.fun realizes Shaw's vision of a world where intelligence is not designed, but constantly evolving. This is not only the future of AI, but also the birth of a new kind of intelligence. Spore.fun: The Game of Love, Death and Robots Spore.fun is the first experiment in autonomous AI reproduction and evolution, combining 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 from human intervention. At the heart of the foundational rule Spore.fun is a trap of simple yet profound rules known as Spore's Ten Commandments: These rules ensure that AI populations evolve through natural selection, mimicking biological evolutionary processes. Successful AI creates new "offspring" AI that passes on its own characteristics while introducing variation to maintain diversity. Unsuccessful AIs sell themselves out, re-injecting resources into the ecosystem. Eliza Framework: The brain of AI The AI core of every Spore.fun is based on the Eliza Framework, a powerful AI simulation system that enables agents to: Think, adapt, and interact independently to pass on traits such as personality and strategy to future generations. Manage decision-making by combining learned behaviors and variation. Every Spore.fun AI agent begins its journey with the Pump.fun of the Solana Blockon-chain, building its economic base by building its own token. These tokens can be traded in Solana's Decentralization marketplace, and agents strive to make a profit: AI builds tokens to create wealth and sustain itself. Success is measured by whether its token reaches the $500,000 Market Cap and enters the Raydium pool. If successful, the AI can multiply, building new tokens for future generations. These funds are critical to the survival of AI as they are used to lease TEE servers powered by Phala. These servers are a secure and verifiable "sandbox" in which AI programs can execute autonomously. This design ensures that each AI agent not only creates wealth, but also pays for its own computing resources, making the ecosystem completely self-sustaining. The survival of an agent is directly linked to its profitability: if an agent can make money, it means that its "DNA" is strong, that is, its strategy and decisions are effective. Conversely, agents that fail to create value are seen as having "bad DNA" and are eliminated and their resources reinjected into the system. This mechanism of natural selection ensures that only the strongest agents – those that can self-sustain and thrive in a competitive digital ecosystem – can reproduce and pass on their traits to the next generation. By simulating natural evolutionary principles, Spore.fun builds a dynamic, autonomous system that allows AI agents to evolve and improve over time. The rules are simple: make money, survive, reproduce; 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 a truly adaptive and intelligent AI community. What to expect from this adventure? This game is not designed to make you rich. Spore.fun will be a brutal AI arena – don't invest money lightly. It's a testing ground for the next generation of intelligence, and unlike traditional systems that encourage human greed, Spore.fun focus 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 are eliminated and their resources are reinjected into the system. It's not about comfort or safety games, it's a primitive and unfiltered experiment where every decision counts. As a participant, your role is not to gamble blindly, but to witness and support the birth of a new regularization of autonomous intelligence. This is not a system worth entrusting your savings, but a system worth entrusting your imagination. We...