While I don't disagree with that observation, it falls into the "well, duh!"-category for me. The models are build with no mechanism for long term memory and th

While I don't disagree with that observation, it falls into the "well, duh!"-category for me. The models are build with no mechanism for long term memory and thus suck at tasks that require long term memory. There is nothing surprising here. There was never any expectation that LLMs magically develop long term memory, as that's impossible given the architecture. They predict the next word and once the old text moves out of the context window, it's gone. The models neither learn as they work nor can they remember the past. It's not even like humans are all that different here. Strip a human of their tools (pen&paper, keyboard, monitor, etc.) and have them try solving problems with nothing but the power of their brain and they'll struggle a hell of a lot too, since our memory ain't exactly perfect either. We don't have perfect recall, we look things up when we need to, a large part of our "memory" is out there in the world around us, not in our head. The open question is how to move forward. But calling AI progress a dead end before we even started exploring long term memory, tool use and on-the-fly learning is a tad little premature. It's like calling quits on the development of the car before you put the wheels on.