Why do most people think they are using AI, but in reality are just calling a black box?

You can ask questions, generate content, but you cannot participate in the model itself, nor can you derive any value from its operation.
Recently, I’ve been looking at @dgrid_ai, which is not trying to improve the model’s capabilities but rather its “ownership structure.”
Simply put, it’s about extracting AI’s computing power, inference, and even some training capabilities, allowing more nodes to participate instead of being concentrated in a few platforms.
It sounds ideal, but the challenges are very real. The biggest issue with distributed AI has never been whether it can run, but efficiency, latency, and result consistency.
If performance cannot approach that of centralized services, then even an open structure will be hard to truly utilize.
But conversely, if AI continues to be monopolized by a few companies, ordinary users will always be just callers, not participants.
So, the value of $DGAI isn’t in how much it can do now, but in its attempt to turn AI from a tool into an participatory network.
This path is difficult, but once established, it will change not just a product, but the entire way AI’s value is distributed.
@Galxe @GalxeQuest @easydotfunX @wallchain #Ad #Affiliate @TermMaxFi