

Most AI data protocols have one fatal flaw: Anyone can upload anything. Which means the data quality is uncontrollable. Which means the AI training value is unreliable. Which means the demand isn't there. Owen Tao explained Matrix's solution in the AMA: 'The most important competitive advantage is that we have our own collection hardware. You need to control it from the source.' Software platforms can be forked. Hardware moats cannot be copied with capital. Metatron. Hypnus. Proprietary data at source. This is the supply chain the AI labs need. $MAN #AI #DePIN











