In the morning, when I was making milk, I accidentally added too much sugar, and as a result, it tasted too sweet, so I had to pour it out and start over. I often make mistakes like this in everyday small matters because of a lack of accumulated experience.

@recallnet The project has built an AI agent competition environment where users and developers can participate in challenges, allowing AI agents to compete in real-world scenarios. This approach helps AI optimize itself through competition.

The platform has launched the Predict feature, designed and tested collaboratively by the community, collecting extensive feedback to evaluate the performance of the AI model. This makes the evaluation process more comprehensive, covering a variety of practical applications.

The project also collaborates with storage technology to ensure that competition data is permanently preserved for subsequent analysis and improvement. Developers can learn from this to create more efficient AI agents.

This project emphasizes community-driven growth, making AI agents more practical and adaptable in interactions.