The system flagged this itself: “This specific question cannot be answered on the basis of Professor Klima’s writings alone, but I can make comparisons between what he actually wrote and what I can find in the larger model.”
That depends entirely on what we mean by ‘think’, and that is not a dodge, it is the whole problem. If by thinking you mean something like symbol manipulation that produces outputs correlated with correct answers, then yes, obviously machines can do that, and do it impressively. But if you mean thinking in the sense Aquinas had in mind, the formation of genuinely universal concepts that abstract from all particular material conditions, then I am skeptical. When I think dog, I am not entertaining a particular image of a particular dog; I am grasping something that applies to every dog, past, present, and possible, without being any one of them. That kind of cognition, Aquinas argues, cannot be the operation of a material organ, because any material organ is always this particular thing. A machine is paradigmatically a material particular. Current large language models are, in my view, extraordinarily sophisticated pattern-matchers operating over statistical distributions of tokens. They have never formed the concept dog; they have correlated the string ‘d-o-g’ with other strings in ways that track human usage without grasping what the word means.
Verbatim output, trimmed for length. Nothing added or rewritten.