AI data validation has become a core challenge currently troubling the industry—massive model training is stuck at the bottleneck of finding enough high-quality labeled data. Recently, I came across an interesting project in this field that uses a decentralized prediction market combined with economic incentives to address this pain point, employing game theory to encourage participants to spontaneously produce and verify data quality.

Even more astonishing is that within just one week of launch, the on-chain voting count exceeded one million. What does this data indicate? It has certainly attracted considerable attention within the community. In the intersection of AI and Web3, such attempts are worth close observation. Whether it can truly solve the data problem in practice will be answered through subsequent execution.