When the parameter scale of artificial intelligence (AI) models exceeds trillions and computing power is measured in hundreds of quintillions per second (FLOPS), a neglected core bottleneck is emerging—data. In his technical blog "Building the Hyperdata Network for AI," #chainbaes profoundly points out: the next revolution in the AI industry will no longer be driven by model architecture or chip computing power, but will depend on how we transform fragmented human behavioral data into verifiable, structured, AI-ready capital. This insight not only reveals the structural contradictions in the current development of AI but also outlines a brand new vision of the "DataFi Era"—in this era, data is no longer a byproduct of technology, but a core production factor that is measurable, tradable, and value-enhancing, just like electricity and computing power. @ChainbaseHQ $C