Your brain can recognize a song from its opening bars. It does not conclude that the song is over. Million Minds AI was making the equivalent mistake.
The hierarchy could recognize a familiar pattern, but recognition and completion had become entangled. When one layer recognized something, it could prematurely tell the next layer that the larger observation was finished.
That produced a bizarre failure: I could replay the exact same text, the lower layers could recognize its pieces, and yet a higher layer could experience it as a different sequence. The words were familiar. The structure containing them was being broken apart.
I have now separated those two events. A layer can recognize an object, pass that evidence upward, and continue observing the larger object that is still unfolding.
This matters because intelligence is nested:
– letters participate in words
– words participate in sentences
– sentences participate in paragraphs
– paragraphs participate in documents
Recognizing one level should not erase the continuity of the next.
Replay the same passage and familiarity now survives through all three layers. Rearrange familiar pieces and the higher layers notice that the larger structure changed, even while lower layers continue recognizing many of the individual pieces.
That is much more interesting than memorizing a passage. The architecture is
starting to distinguish “I know this part” from “I know how this part belongs
inside the larger thing.”
That distinction feels fundamental to building a system that can move from
recognizing text toward learning concepts, associations, and eventually a world
model.
That’s really exciting! 🤩
