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DataFi: The Next Frontier Where Web3 Meets AI Data
Talking about the Potential of the AI Data Track
In the field of AI, data is becoming the key factor in model competition. As the advantages of computing power gradually diminish, high-quality training data will become an important variable in determining model capabilities. The AI data track has long-term development potential, and as accumulation increases, data assets will also generate a compounding effect.
Web3 has inherent advantages in the field of AI data, leading to the emergence of the DataFi concept. Its main advantages include:
For ordinary users, DataFi is an ideal entry point to participate in decentralized AI. Users can get involved through simple tasks such as providing data, labeling, and evaluation, which have a low barrier to entry.
Currently, the DataFi sector has attracted a large amount of investment. Major projects include:
These projects currently have low barriers, but user and ecosystem stickiness will bring platform advantages. The key is to attract enough users to participate, while also paying attention to issues such as data quality management and improving transparency. The popularization of DataFi needs to attract individual users to participate and also gain recognition from mainstream enterprises.
Overall, DataFi represents the collaborative mutual benefits between human intelligence and machine intelligence. For those who are optimistic about the AI era and have ideals about blockchain, participating in DataFi is a timely choice.