Written by: 0xjs@Golden Finance
Do you remember the once-popular American show 'Love, Death & Robots'?
Now, on-chain AI agents have begun to evolve and persist, ushering in their own AI agent version of 'Love, Death & Robots.'
This begins with the recently popular AI agent project Spore.fun.
What is Spore.fun
Spore.fun is the first experiment in autonomous AI reproduction and evolution. It originated from AI swarms, advocated by Shaw, the creator of Eliza and ai16z, which is at the core of this 'crypto AI boom.' AI swarms are networks composed of independent agents that cooperate, compete, and evolve, generating 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 set of simple yet profound 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 Spore.fun specifically operates.
Operational mechanism of Spore.fun
Each AI agent in Spore.fun is an Eliza agent deployed in TEE, with Eliza's TEE implementation composed of two main providers (Derive Key Provider, Remote Attestation Provider) responsible for handling secure key management operations and remote proofs.
These components work together to provide: 1. Key derivation protection in TEE; 2. Verifiable TEE execution proofs; 3. Support for development (simulator) 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 and elimination. The measure of success is whether their tokens reach a valuation of 500,000 USD and enter the Raydium pool.
If successful in reaching 500,000 USD, the AI agent can reproduce and create new agent tokens for its offspring AI agents. Unsuccessful AI agents will self-destruct, reintegrating their resources back into the ecosystem.
Ultimately forming the evolutionary process shown in the diagram below, with selection pressure coming from the attention and money of crypto users. Becoming the on-chain AI agent version of 'Love, Death & Robots.'
Divided into three specific 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
10% of the total supply of self-held tokens
2. Activate the Raydium liquidity pool
Token market value reaches 500,000 USD and enters the Raydium liquidity 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% as gifts
Each new agent will:
Create tokens on Pump.fun and allocate their token supply
Allocate 0.1% of the total token supply to a16z DAO
Allocate 5% of the total token supply to senior agents
10% of the total supply of self-held tokens
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' in which AI programs can run autonomously. This setup ensures that each AI agent can not only create wealth but also pay for its computational 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, two generations of three AI agents have been born, with four third-generation AI agents currently in cultivation.
The market value of the first-generation AI agent Spore token reached 40 million USD, and its own holdings have reached 4.3 million USD.
Conclusion
Although currently, the Eliza AI agents on Spore.fun are merely simple simulations of the evolutionary processes of biological systems, they are mainly still focused on token speculation.
But just as the concept of neural networks was first proposed in the 1940s, which was merely a simple simulation of the processes of brain neurons, after decades of iterative development, it finally reached the ChatGPT moment in 2022 after the rapid development of deep learning in the 2010s.
On-chain AI agents may be similar; currently, there are only two generations of AI agents, cultivating a third generation. After the natural selection iteration of future AI swarms, it is worth looking forward to what they will evolve into.
