[bitcuration]

You may not have said it directly but implied, for example if we said A to B, and B to C, the model would have learned the relation and tell you A will go to C, doesn't mean all the sudden it can reason. It's all already in the language and when it has learned enough of numerous forms of A to B, B to C, the relation it's built makes it to give A to C. Yet A to C may very well be some epiphany that we have never thought about. One advantage is the model never get sloppy, it remembers everything, it may overreact/overthink hence hallucination, but it doesn't overlook things or bias like human do (until alignment of course). This is why we're often surprised by the model, but we probably knew it too jut being blind about certain things sometimes so never made the connection.