TL;DR on why @psdnai is important ↴ the next wave of ai innovation will exist beyond the browser: → robots → self-driving cars → voice-to-text, etc. the internet offered a great well of training data, but it's not rich enough to help: → a robot be, well, less robotic → a self-driving car navigate snow → voice tools understand dialects this data is very hard to coordinate, as it needs to be collected in specific formats, cleaned, labeled, and licensed so companies have no issue commercializing. collecting unique data from different contexts around the world is also no small task. the best way to collect this data is through distributed systems - cue @psdnai built on @StoryProtocol: → folks contribute from anywhere → in formats requested by ai companies → licensing is baked into the infra → credit + compensation dealt where due this is the last major frontier left in ai: c̶o̶m̶p̶u̶t̶e̶, m̶o̶d̶e̶l̶s̶, data. both compute and models are relatively solved, monopolized, commoditized, and priced. ˗ˏˋdata ´ˎ˗ remains unsolved, until now.