Many Web3 AI projects talk about compute power.

GPU networks, inference nodes, compute markets.
But what I find truly interesting is another perspective.
AI is actually a market itself.
Models provide capabilities, developers need capabilities, and there should be a freely priced space in between.
In @dgrid_ai's design, this is placed front and center.
They don't just build inference networks, they've designed an open LLM and Agent marketplace.
Model developers can price themselves, providing capabilities directly to global users without depending on centralized platform distribution.
Value isn't captured by the platform, but flows between participants.
Users pay $DGAI for inference costs, nodes provide computing, model developers earn revenue, and the entire network forms a closed-loop economy.
When AI capabilities start being traded like commodities, many things will change.
Developers are no longer just auxiliary roles of a platform.
They themselves can become a market.
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