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The true bottleneck of AI may not be model parameters
When discussing AI, people often focus on parameter scale and computing power, but digging deeper reveals that the real choke point is actually something else—high-quality data that can be directly applied to real-world scenarios.
Applications like robotics and autonomous driving demand increasingly trustworthy data. Messari pointed this out in the "2026 Crypto Theme Outlook," which is also why the DePAI track has recently been appearing frequently in major institutions' visions. Ultimately, data is the true infrastructure for AI deployment—without it, everything is just a castle in the air.