The speaker says fuzzy logic has the limitation that it cannot be used to perform inference on fuzzy logic, whereas Bayesian inference can be used to learn a Bayesian model.

“Decision making under uncertainty, which never really took off, because it had some like limitations and like actual usage. For instance, like the reason we use like let's say Bayesian inference instead of or like probability theory in general over fuzzy logic is because fuzzy logic has an un-nice property”

“that's it doesn't g kind of you can't do fuzzy logic to do inference on fuzzy logic. For Bayesian you can you can effectively do do Bayesian inference to to learn a Bayesian model. I think that the reason we see certain abstractions and not other abstractions is just because ultimately someone picked them up and they worked really nicely. This also of course on the contrary means there are plenty of abstractions would be really really nice which never end up seeing like the the actual time of the day because”