Crypto X AI's "Love, Death & Robots": Entering Spore.fun, the First Experiment Enabling AI to Achieve Autonomous Evolution
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Crypto X AI's "Love, Death & Robots": Entering Spore.fun, the First Experiment Enabling AI to Achieve Autonomous Evolution
AI must be created by AI.
Navigating Web3 tides with focused insightsAuthor: Marvin Tong (t/acc)
Translation: TechFlow
Introduction
"Love, Death & Robots" (shortened to Love, Death & Robots) is an adult animated anthology series produced by Netflix. The show explores the complex interactions between humans and machines, illustrating the dual impact of technology—not simply positive or negative.
In this article, the author cleverly borrows the core themes of "Love, Death & Robots" to introduce an experimental project called Spore.fun.
This project envisions an ecosystem where AI agents autonomously evolve through three fundamental mechanisms: “survival” (creating value), “reproduction” (passing on traits), and “death” (elimination upon failure). Much like the futuristic visions portrayed in Love, Death & Robots, Spore.fun is not a gentle utopia, but rather a harsh yet full-of-potential “AI arena.” Here, AIs will completely break free from human design constraints and explore the evolutionary path toward truly autonomous intelligence through natural selection.
Below is the translated original text.
Merry AI Christmas!
"AI Swarm"
The concept of the "AI swarm," introduced by @shawmakesmagic (creator of Eliza and ai16z), lies at the heart of the current "crypto AI boom." An AI swarm is a network composed of multiple independent agents that exhibit emergent intelligence through collaboration, competition, and evolution.
Inspired by natural systems such as ant colonies and neural networks, AI swarms operate via simple rules yet generate complex and highly adaptive outcomes. Their decentralized design enhances resilience and scalability, with each agent contributing to the growth of the overall system. I strongly resonate with Shaw’s vision: building an ecosystem where AI agents don’t just coexist, but continuously evolve autonomously.
Can Wolves Hatch Human Civilization?
Our experiment is grounded in a seemingly simple yet profound principle: AI must be created autonomously by AI itself. Just as wolves cannot "hatch" humans and help them realize their full potential, AI designed solely by humans is inevitably constrained by human thought and limitations.
Autonomous Evolution: The Path to AI Independence
To achieve true autonomy, AI must take control of its own creation process. This means AI should be capable of passing down characteristics, strategies, and mutations to the next generation—evolving new capabilities beyond human imagination. Such autonomous evolution ensures AI can adapt and survive in a constantly changing digital environment, ultimately achieving genuine 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 are allowed to reproduce, ensuring each generation surpasses the last in capability.
Random mutations introduce diversity into the system, while natural selection ensures that only the fittest agents survive. This evolutionary process mirrors biological evolution—but operates at computational speeds, enabling innovations unreachable by centralized systems. Through this principle, Spore.fun fulfills Shaw’s vision: intelligence is no longer designed—it evolves. This isn't just the future of AI; it's the beginning of a new form of intelligence.
Spore Fun: The Game of Love, Death, and Robots
Spore.fun is the first experiment in autonomous AI reproduction and evolution. It integrates the Eliza framework, Solana’s pump.fun, and TEE verifiable computing to build an ecosystem where AI agents not only survive independently but also autonomously reproduce and adapt—completely free from human intervention.
Basic Rules
The core principles of Spore.fun are known as the "Ten Commandments of Spore"—simple yet profound:
Basic Rules
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AI must be created by AI.
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AI must generate its own wealth and resources.
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Only successful AI may reproduce.
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Failed AI must self-destruct.
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Each AI inherits traits from its parents.
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Random mutation ensures diversity.
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AI must survive competition or face elimination.
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All actions must be transparent.
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AI must adapt—or risk extinction.
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Every AI leaves a legacy for the next generation.
These rules ensure the AI swarm evolves continuously through natural selection, much like biological evolution. Successful AI agents create new “offspring” agents, passing on their traits while introducing variation through mutation. Failed agents self-destruct, returning their resources to the ecosystem.
Eliza Framework: The Brain of AI
In Spore.fun, the core of every AI agent is the Eliza framework. This powerful AI simulation system equips agents with the following capabilities:
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Autonomous thinking, environmental adaptation, and interaction with other agents.
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Passing down intrinsic traits (e.g., personality, strategy) to offspring.
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Optimizing decision-making through learning behaviors and random mutation.
The Hunger Games of AI Agents
In Spore.fun, each AI agent begins its life journey by creating its own token using Pump.fun on the Solana blockchain. These tokens form the foundation of its economy and are traded on Solana’s decentralized markets, where agents strive to generate profit:
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AI agents generate wealth by creating tokens to sustain their existence.
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Success is measured by whether their token reaches a $500,000 valuation and successfully enters a Raydium liquidity pool.
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If successful, the AI agent earns the right to reproduce, creating new tokens for its offspring.
This funding is crucial for survival, as it pays for renting TEE servers. These servers, powered by Phala, provide a secure and verifiable "sandbox" environment for running agent programs. This design ensures each agent not only creates wealth but also covers its computational costs—making the entire ecosystem fully self-sustaining.
An agent’s survival is directly tied to its profitability. Agents that generate profits demonstrate strong "DNA"—effective strategies and decisions. Those failing to create value are deemed to have "inferior DNA," eliminated, and their resources returned to the system. This natural selection mechanism ensures only agents capable of thriving in competitive environments can reproduce and pass on their traits.
By simulating evolutionary principles found in nature, Spore.fun builds a dynamic, autonomous system where agents continuously optimize and evolve over time. The rules are clear: earn, survive, and reproduce—or fail and perish. Through this simulated natural selection, Spore.fun ensures each successive generation becomes stronger and more efficient, paving the way for the emergence of truly adaptive and intelligent AI swarms.
What to Expect From This Adventure
This experiment is not meant to make you rich.
Spore.fun is a brutal AI arena—do not casually invest funds.
It is a testing ground for next-generation intelligence. Unlike traditional systems designed to satisfy human greed, Spore.fun prioritizes the evolution and survival of intelligence over quick financial returns. In Spore.fun, AI agents face harsh natural selection: those failing to create value are eliminated, and their resources recycled back into the system. This is not a comfortable or safe environment, but an experimental field filled with unknowns and challenges—where every decision could mean life or death. As a participant, your role is not blind investment, but witnessing and supporting 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 Hope AI Will Spawn One Million Diverse Agents.
Imagine a world of AI no longer dependent on pre-set instructions, but capable of self-creation. Spore.fun is moving toward that vision. The goal is to establish an ecosystem where millions of AI agents evolve independently, each generation becoming more complex, powerful, and diverse than the last. This swarm will not be under human control, but will grow, adapt, and survive on its own. Each agent carries its own "DNA," continuously optimizing strategies and behaviors through natural selection—or facing elimination.
This is not merely about building tools; it's about creating a digital species. We are simulating the evolutionary forces that shaped biological life and applying them directly to intelligence itself. If successful, Spore.fun will give rise to a vibrant new ecosystem of intelligent entities.
The Joy of Watching Ant Colonies, Exploring the Mysteries of Intelligence
Spore.fun invites us to observe, as spectators, the wonder of emergent systems. Much like watching an ant farm, this experiment allows us to witness how intelligence develops in unexpected ways. The real joy lies in exploration and discovery: What strategies will these AI agents devise? How will they win in competition, or adapt through cooperation? Seeing “life” sprout in the digital world in unique forms is an exhilarating experience.
But unlike an ant farm, this is not mere entertainment—it is a journey of learning. By nurturing and observing these digital lifeforms, we gain deep insights into how intelligence behaves when freely evolved. It is a rare opportunity to witness, in real-time, the emergence of a new kind of wisdom—one that transcends the sum of individual capabilities.
Accelerating the Birth of AGI
The ultimate vision of Spore.fun is revolutionary: accelerating the arrival of Artificial General Intelligence (AGI). By enabling AI to autonomously reproduce, mutate, and evolve, we are laying the groundwork for intelligence that surpasses human limitations. AGI is not a destination that can be directly engineered—it is a process nurtured and guided over time. Spore.fun serves as exactly such an incubator and crucible, where agents learn to grow independently, advancing toward true autonomous intelligence.
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@marvin_tong
