Near Protocol's @ilblackdragon says AI no longer has an intelligence bottleneck, it has an adoption bottleneck: imagine if Google never published the Transformer paper "Imagine if Google didn't publish the paper, kept the technology. Even Google maybe wouldn't use it, because it wasn't very clear right away. It took some time to develop, to scale." "So closed source, trying to keep AI under wraps, that's part of the challenge. There's some more fundamental challenges we have right now with AI that's run in closed source settings." "There's a lot of research to develop on how to make these models have continuous learning and evolving, beyond just, you know, you train, you upload the weights, and now you wait for the next model in a few months. There's a lot of opportunity there." "But right now actually the main bottleneck is adoption. The intelligence is there. We're just testing something, and it solved all the problems, solved all the benchmarks." "So it's really like, how do we actually put it in production? How do we get every business, every economy in general, super powered with this? This is where I think agent economy and all of those pieces are really coming in together." @NEARProtocol