The market is talking about the explosion of AI, but few people are addressing a real issue: where does the computing power come from, and who bears the costs?


@dgrid_ai's answer is to open up the supply of computing power, allowing more nodes to participate, while driving resource access through an incentive mechanism. If this model works, it can significantly reduce the cost pressure on individual entities.
But the problem is straightforward: supply can be incentivized, but demand must genuinely exist. Without sustained computational needs, even abundant computing power becomes idle resources.
From a trader's perspective, the criteria for judging such projects are simple: whether tasks are continuously being issued and whether the computing power is repeatedly utilized.
$DGAI here plays the role of incentivizing and settling, but the true determinant of the ceiling is network utilization, not the number of nodes.
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