Many Web3 AI projects talk about computing power.

GPU networks, inference nodes, computing power markets.
But what really interests me is a different perspective.
AI is actually a market.
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 not only build inference networks, but also design an open LLM and Agent marketplace.
Model developers can price themselves and provide capabilities directly to global users without relying on centralized platforms for distribution.
Value is not retained by the platform, but flows among participants.
Users pay for inference fees with $DGAI , 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 subsidiary roles of platforms.
They themselves can become a market.
@Galxe @GalxeQuest @easydotfunX @wallchain #Ad #Affiliate