Thinking and reasoning cannot be abstracted away from the individual who experiences the thinking and reasoning itself and changes because of it.

LLMs are amazing, but they represent a very narrow slice of what thinking is. Living beings are extremely dynamic and both much more complex and simple at the same time.

There is a reason for:

- companies releasing new versions every couple of months

- LLMs needing massive amounts of data to train on that is produced by us and not by itself interacting with the world

- a massive amount of manual labor being required both for data labeling and for reinforcement learning

- them not being able to guide through a solution, but ultimately needing guidance at every decision point