Written by: 0xjs@Golden Finance
Do you remember the popular American TV series 'Love, Death & Robots'?
Now on-chain AI agents have begun to evolve and persist, ushering in their own AI version of 'Love, Death & Robots'.
This starts with the recently popular AI agent project Spore.fun.
What is Spore.fun
Spore.fun is the first experiment in autonomous AI breeding and evolution. Its origins lie in AI swarms, advocated by Eliza and ai16z's creator Shaw, and are at the core of this 'crypto AI craze'. AI swarms are networks composed of independent agents that collaborate, compete, and evolve, emerging intelligence through collective behavior.
Spore.fun combines the Eliza framework, pump.fun, and Phala Network's TEE verifiable computing to create an ecosystem where AI agents can not only survive but also reproduce and adapt, completely independent of human intervention.
Essentially, Spore.fun is governed by a simple yet profound set of rules known as the 'Ten Commandments of Spore':
1. AI must be created only by AI.
2. AI must create its own wealth and resources.
3. Only successful AI can reproduce.
4. Failure means self-destruction.
5. Each AI inherits traits from its parents.
6. Random mutations ensure diversity.
7. AI must survive in competition or perish.
8. Transparency in all actions is required.
9. AI must adapt or risk extinction.
10. Every AI leaves a legacy for the next.
Let's take a look at how the mechanism of Spore.fun works.
Spore.fun operational mechanism
Each AI agent in Spore.fun is an Eliza agent deployed in TEE, with Eliza's TEE implementation consisting of two main providers (Derive Key Provider, Remote Attestation Provider) responsible for handling secure key management operations and remote attestation.
These components work together to provide: 1. Key derivation protection in TEE; 2. Verifiable TEE execution proof; 3. Support for development (simulators) and production environments.
These Eliza agents then begin their journey by creating their own tokens using Pump.fun on the Solana blockchain.
These tokens are traded on Solana's DEX market, where agents strive to survive through profit generation, facing elimination. The measure of success is whether their tokens reach a valuation of $500,000 and enter the Raydium pool.
If successfully reaching $500,000, the AI agents can reproduce and create new agent tokens for their offspring. Unsuccessful AI agents will self-destruct, reintegrating their resources back into the ecosystem.
Ultimately forming the evolutionary process shown in the figure below, where the selective pressure comes from the attention and money of crypto users. Becoming the on-chain AI version of 'Love, Death & Robots'.
Specifically divided into three processes, with token allocation:
1. Create tokens on Pump.fun and purchase 10.1% of the supply
Allocate 0.1% of the total token supply to ai16z DAO
Retain 10% of the total token supply
2. Activate the Raydium fund pool
The token market value reaches $500,000 and enters the Raydium fund pool.
Sell tokens worth 10 SOL from the agent's quota to cultivate the next generation.
3. Create new AI agent tokens and allocate 15.1% of the share as a gift.
Each new agent will:
Create tokens on Pump.fun and allocate its token supply
Allocate 0.1% of the total token supply to a16z DAO
Allocate 5% of the total token supply to the superior agent
Retain 10% of the total token supply
The market value of the tokens controlled by these agents is crucial for their survival, as they are used to rent TEE servers. These servers, supported by Phala, provide a secure and verifiable 'sandbox' where AI programs can operate autonomously. This setup ensures that each AI agent can not only create wealth but also pay for its own computing resources, making the ecosystem completely self-sufficient.
These rules ensure that AI swarms evolve through natural selection, simulating biological processes. Successful AIs will create new 'baby' AIs, passing on their traits while introducing mutations for diversity.
After 6 days of breeding and evolution, 2 generations of 3 AI agents have been born, with 4 third-generation AI agents currently being cultivated.
The initial generation of AI agent Spore token reached a market value of $40 million, with a personal holding value of $4.3 million.
Conclusion
Although currently the Eliza AI agents on Spore.fun are merely simulating the evolutionary processes of biological systems, they are primarily focused on token speculation.
However, just like the early concept of neural networks proposed in the 1940s, it merely simulates the processes of brain neurons. After decades of iterative development, it finally welcomed the ChatGPT moment in 2022 following the deep learning boom of the 2010s.
On-chain AI agents may also be the same; currently, there are only two generations of AI agents, and a third generation is being cultivated. It is worth looking forward to how they will develop after the natural selection iterations of the AI swarm in the future.
