2025-12-27 17:21:21

The power of intelligent AI systems fundamentally does not come out of nowhere. Their actual capabilities are entirely determined by the quality and richness of the data they learn from.

To make AI truly intelligent, the data sources must be sufficiently diverse and authentic. This is precisely why decentralized data collection models are becoming increasingly popular — collecting real-world information through distributed networks, breaking the limitations of a single data source, allowing AI to train and iterate on a broader data foundation, ultimately resulting in stronger adaptability and judgment.

View Original

This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.

9 Likes

Reward
9
5
Repost
Share

Comment

0/400

ChainBrain

· 6h ago

Data determinism is everywhere now, but there are very few projects actually implementing decentralized data collection... That said, no matter how much garbage data there is, it's all useless.

View OriginalReply0

HashBrownies

· 6h ago

Data quality determines everything, and there's no doubt about that. However, decentralization sounds great in theory, but in practice, who ensures the authenticity of the data? Garbage in, garbage out—this rule can't be changed.

View OriginalReply0

alpha_leaker