Talk of James McClelland at Inria, Oct 3, 2023

Capturing Intelligence at the Level of Thought
James L. McClelland, Stanford University and Google DeepMind
Today’s neural networks tantalize us with their apparent creativity and insight, yet we may also feel that they aren’t really thoughtful cognizing minds like those of ourselves and our peers. What’s the difference? I have come to feel that it may be useful to think that these systems don’t really have thoughts in the same sense that we do. Thus, I have set out on a quest to think about how we might better build model systems that can capture intelligence at the level of thought. In this talk I’ll describe what I mean by a thought, how it is that I see these systems as failing to operate at the level of thought, and some steps I and others are taking that I see as working toward the goal of understanding how to solve this interesting and challenging problem at the intersection of the sciences of mind, brain, and computation
00:00 Introduction by Pierre-Yves Oudeyer
06:24 Talk by James McClelland
01:07:15 Questions