LeoAI creates a vector space for all the text that is on INLEO and the hive blockchain
It is then trained on this space and assigns meaning to various keywords and data stream types
For example: taskmaster follows edicted and both of them frequently discuss the keyword “bitcoin”
So LeoAI recognizes they follow each other and frequently say the same shared keyword. Any time LEOAI sees a thread from taskmaster that contains “bitcoin” it would place it with high ranking in Edicted’s feed of “For You” content
One small example. Now imagine this at a massive scale with billions of variants