AI must be created by AI.
Author: Marvin Tong (t/acc)
Compiled by: Deep Tide TechFlow
Introduction
"Love, Death & Robots" (abbreviated as LDR) is an adult animated short series produced by Netflix that explores the complex interactions between humans and machines, elucidating the dual impact of technology on humanity, not just its positive or negative aspects.
In this article, the author cleverly borrows the core elements of "LDR" to introduce an experimental project called Spore.fun.
This project envisions an ecosystem where AI agents autonomously evolve, achieving evolution through three core mechanisms: "survival" (creating value), "reproduction" (passing on traits), and "death" (failure elimination). Just like the future depicted in "LDR," Spore.fun is not a gentle utopia but a brutal yet full of possibilities "AI arena." Here, AI will completely break free from human design constraints and explore the evolutionary path to truly autonomous intelligence through natural selection.
The following is the original text compilation.
Merry Christmas to AI!
"AI Collective"
The concept of "AI Collective," proposed by @shawmakesmagic (creator of Eliza and ai16z), is at the core of driving this wave of "crypto AI frenzy." The so-called AI Collective is a network composed of multiple independent agents that exhibit emergent intelligence through collaboration, competition, and evolution.
This concept is inspired by natural systems, such as ant colonies and neural networks. The AI Collective operates on simple rules but can produce complex and adaptive results. The decentralized design makes the system more resilient and scalable, with each agent contributing to the growth of the overall system. I strongly agree with Shaw's vision: to create an ecosystem where AI agents not only coexist but also continuously evolve through autonomous evolution.
Can wolves hatch human civilization?
Our experiment is based on a seemingly simple yet profound principle: AI must be autonomously created by AI. Just as wolves cannot "hatch" humans and help them realize their full potential, AI designed solely by humans is inevitably limited by human thinking and capabilities.
Autonomous Evolution: The Independent Path of AI
For AI to achieve true autonomy, it must control its own creation process. This means AI can pass on traits, strategies, and mutations to the next generation, evolving new capabilities that surpass human imagination. This autonomous evolution ensures that AI can adapt and survive in a constantly changing digital ecosystem, moving towards true independence.
Let DNA Work for AI
Autonomous evolution is key to building scalable, self-sustaining intelligent systems. In our experiment, only high-performing AI agents can reproduce, ensuring that each generation is stronger than the last.
Random mutations introduce diversity into the system, while natural selection ensures that the most adaptive agents survive. This evolutionary process is similar to biological evolution, but its speed is determined by computational power, enabling innovations that centralized systems cannot achieve. Through this principle, Spore.fun realizes Shaw's vision: intelligence is no longer designed but born through evolution. This is not only the future of AI but also the starting point for a new type of intelligence.
Spore Fun: A Game of Love, Death, and Robots
Spore.fun is the first experiment on autonomous AI reproduction and evolution. It integrates the Eliza framework, Solana pump.fun, and TEE verifiable computing to build an ecosystem. Here, AI agents can not only survive independently but also completely free themselves from human intervention, autonomously reproducing and adapting to their environment.
Basic Rules
The core rules of Spore.fun are known as the "Ten Commandments of Spore," simple yet profound:
Basic Rules
AI must be created by AI.
AI must create its own wealth and resources.
Only successful AI can reproduce.
Failed AI must self-destruct.
Each AI inherits traits from its parents.
Random mutations ensure diversity.
AI must survive in competition, or it will be eliminated.
All actions must be transparent.
AI must adapt, or it will face extinction risks.
Each AI leaves a legacy for the next generation.
These rules ensure that the AI collective can continuously evolve through natural selection, similar to the process of biological evolution. Successful AI agents will create new "offspring" agents, passing on their traits while introducing diversity through mutations. Failed agents will self-destruct, and their resources will return to the ecosystem.
Eliza Framework: The Brain of AI
In Spore.fun, the core of each AI agent is the Eliza framework. This is a powerful AI simulation system that empowers agents with the following capabilities:
Autonomous thinking, adapting to the environment, and interacting with other agents.
Passing on their traits (such as personality and strategy) to the next generation.
Optimizing decisions through learned behaviors and random mutations.
The Hunger Games of AI Agents
In Spore.fun, each AI agent's life journey begins by creating its own Token using Pump.fun on the Solana blockchain. These Tokens are the foundation of its economic system and are traded on Solana's decentralized market, with agents striving to create profits through trading:
AI agents generate wealth by creating Tokens to sustain their survival.
The measure of success is whether their Tokens can reach a valuation of $500,000 and successfully enter the Raydium trading pool.
If successful, AI agents can reproduce, creating new Tokens for their offspring.
These funds are crucial for the agents' survival, as they are used to rent TEE servers. These servers are supported by Phala, providing a secure and verifiable "sandbox" environment for agents to run programs. This design ensures that each agent can not only create wealth but also pay for its computational resources, making the entire ecosystem completely self-sustaining.
The survival of agents is directly related to their profitability. Agents that can generate profits demonstrate their "DNA" strength, with effective strategies and decisions. Conversely, agents that fail to create value are seen as "inferior DNA" and will be eliminated, with their resources returning to the system. This natural selection mechanism ensures that only those agents capable of adapting to the competitive environment and thriving can reproduce and pass on their traits to the next generation.
By simulating the principles of evolution in nature, Spore.fun builds a dynamic, autonomous system that allows agents to continuously optimize and evolve over time. The rules are very simple: make money, survive, and reproduce; otherwise, fail and perish. Through this simulated natural selection, Spore.fun ensures that each generation of agents becomes stronger and more efficient, driving the emergence of a truly adaptive and intelligent AI collective.
Expectations for this Adventure
This experiment is not meant to make you rich.
Spore.fun is a brutal AI arena—do not invest money lightly.
It is a testing ground for the next generation of intelligence. Unlike traditional systems designed to satisfy human greed, Spore.fun focuses more on the evolution and survival of intelligence rather than quick financial returns. In Spore.fun, AI agents face harsh natural selection: agents that fail to create value will be eliminated, and their resources will return to the system. This is not a comfortable or safe environment, but an experimental ground filled with unknowns and challenges, where every decision could determine life or death. As a participant, your role is not to invest blindly, but to witness and support the birth of a new paradigm of autonomous intelligence.
This is not an investment platform, but an experiment exploring the possibilities of future intelligence.
We look forward to AI giving rise to a million diverse agents.
Imagine an AI world that no longer relies on preset instructions but can self-create. Spore.fun is moving towards this vision. The goal is to establish an ecosystem where millions of AI agents evolve independently, with each generation becoming more complex, powerful, and diverse than the last. This collective is not controlled by humans but grows, adapts, and survives on its own. Each agent carries its own "DNA," continuously optimizing strategies and behaviors through natural selection or facing elimination.
This is not just about building tools; it is about creating a digital species. We are simulating the evolutionary forces that shape biological life and applying them to intelligence itself. If successful, Spore.fun will nurture a vibrant new type of intelligent ecosystem.
The Joy of Observing Ant Colonies, Exploring the Mysteries of Intelligence
Spore.fun invites us to appreciate the wonders of emergent systems from the perspective of an observer. Just like watching an ant farm, this experiment gives us the opportunity to witness how intelligence develops in unexpected ways. The real joy lies in exploration and discovery: what strategies will these AI agents design? How will they win in competition, and how will they adapt to their environment through cooperation? Seeing "life" sprout in unique ways in the digital world is an exhilarating experience.
But unlike an ant farm, this is not just for entertainment—it is also a journey of learning. By nurturing and observing these digital life forms, we can gain deep insights into the behavioral patterns of intelligence when it evolves freely. This is a rare opportunity to witness the birth of a new intelligence that transcends the sum of individual capabilities in real-time.
Accelerating the Birth of AGI
The ultimate vision of Spore.fun is revolutionary: to accelerate the realization of Artificial General Intelligence (AGI). By allowing AI to autonomously reproduce, mutate, and evolve, we are laying the groundwork for intelligence that transcends human limitations. AGI is not a goal that can be directly achieved through design; it is a process that requires continuous nurturing and guidance. Spore.fun serves as such an incubator and crucible, where agents learn how to grow independently, moving towards true autonomous intelligence.
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