Yes, I agree wholeheartedly with your clarification.

My career path, as I stated in a different comment, In regards to neural networks is focused on generative DNNs for CAD applications and parametric 3D modeling. Before that, I began as a researcher in cancerous tissue classification and object detection in medical diagnostic imaging.

Thus, large language models are well out of my area of expertise in terms of the architecture of their models.

However, fundamentally it boils down to the fact that the specific large language models was designed to predict text and not necessarily solve problems/play games to “win”/“survive”.

I admit that I’m just parroting what you stated and maybe rehashing what I stated even before that, but I like repeating and refining in simple terms to explain to laymen and, dare I say, clients. It helps me make make I don’t come off as too pompous when talking about this subject; forgive my tedium.