Written by: 0xjs@金财经

Do you still remember the once popular American TV series "Love, Death and Robots"?

Now the AI ​​agent on the chain has begun to evolve and last forever, ushering in its own AI agent version of "Love, Death and Robots".

This starts with the recent popular AI agent project Spore.fun.

Spore.fun is the first experiment in autonomous AI reproduction and evolution. It originated from artificial intelligence swarms (AI swarms), which were advocated by Eliza and Shaw, the founder of ai16z, and are the core of this "encrypted AI craze". An AI swarm is a network of independent agents that collaborate, compete, and develop with each other to emerge intelligence through collective behavior.

Spore.fun combines the Eliza framework, pump.fun, and Phala Network’s TEE verifiable computing to create an ecosystem in which 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 "Spore Ten Commandments":

1. AI must be created only by AI. (AI must only be created by AI.)

2. AI must create its own wealth and resources. (AI must create its own wealth and resources.)

4. Failure means self-destruction. (Failure means self-destruction.)

5. Each AI inherits traits from its parents. (Each AI inherits characteristics from its "predecessors".)

6. Random mutations ensure diversity. (Random mutations ensure diversity.)

7. AI must survive in competition or perish. (AI must survive competition, otherwise it will perish.)

8. Transparency in all actions is required. (All actions need to maintain transparency.)

9. AI must adapt or risk extinction. (AI must adapt to the environment, otherwise there is a risk of extinction.)

10. Every AI leaves a legacy for the next. (Every AI leaves a legacy for the next generation.)

Let’s look at the specific mechanism of Spore.fun.

Each AI agent in Spore.fun is an Eliza agent deployed in TEE. Eliza's TEE implementation consists of two main providers (Derive Key Provider, Remote Attestation Providers), which handle secure key management operations and remote attestation.

These components work together to provide: 1. Protected key derivation in the TEE; 2. Verifiable proof of TEE execution; 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 and die by generating profits. Success is measured by whether their token reaches a $500,000 valuation and enters the Raydium pool.

If it successfully reaches $500,000, the AI ​​agent can reproduce and create new agent tokens for its descendant AI agents. Unsuccessful AI agents self-destruct, reabsorbing their resources into the ecosystem.

Ultimately, the evolutionary process shown in the figure below is formed, and the selection pressure comes from the attention and money of encryption users. Become the AI ​​intelligent version of "Love, Death and Robots" on the chain.

It is divided into three processes and the tokens are allocated:

1. Create tokens on Pump.fun and purchase 10.1% Supply

Allocate 0.1% of the total token supply to ai16z DAO

Keep 10% of the total token supply for itself

2. Activate the Raydium fund pool

The market value of the token reaches US$500,000 and enters the Raydium fund Pool

Sells tokens worth 10 SOL from the agent’s quota for cultivation Next generation

3. Create new AI agent tokens and allocate 15.1% of the shares 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 superior agents

Keep 10% of the total token supply for themselves

These agents themselves The market value of tokens controlled byUsed to rent TEE servers. These Phala-powered servers provide a secure and verifiable “sandbox” in which AI programs can run autonomously. This setup ensures that each AI agent not only creates wealth but also pays for its own computing resources, making the ecosystem completely self-sufficient.

These rules ensure that the AI ​​swarm evolves through natural selection, simulating biological processes. Successful AI creates new "baby" AIs, passing on their characteristics while introducing mutations for diversity.

After 6 days of breeding and evolution, 2 generations of 3 AI agents have been born, and 4 third-generation AI agents are being cultivated.

The market value of the original AI agent Spore token reached 40 million U.S. dollars, and its own holding value has reached 4.3 million U.S. dollars.

Although the current Eliza AI agent on Spore.fun only simply simulates the evolutionary process of biological systems, it is currently mainly a token for speculation.

But just like the neural network concept first proposed in the 1940s, it only simply simulates the process of brain nerve cells. However, after decades of iterative development, and after the great development of deep learning in the 2010s, Finally, the ChatGPT moment will come in 2022.

The same may be true for AI agents on the chain. Currently, there are only two generations of AI agents, and the third generation of AI agents is being cultivated. After the natural selection iteration of the AI ​​swarm in the future, it will develop into What to look forward to.