How relevant is this fast/slow thinking thing with regards to current frontier models?
I know a large organization who's built their AI framework completely around this concept, and I feel that it's not really meaningful concept with the capabilities of current models.
You can ask a model for output directly and stop, or you can recursively ask it to keep refining the output.
That seems to fit the fast vs slow model of human thought reasonably well.