Mm - hmm.
So these  these big categories that differ in huge obvious ways , we already know how to do. So , what are we bringing to the party ? I mean , in fact what we wanna do is have something that , particularly in the presence of noise , uh , is better at distinguishing between , uh , categories that are actually close to one another , and hence , would probably be clustered together.
Mmm.
So that 's th that 's the hard thing. I mean , I understand that there 's this other constraint that you 're considering , is that you wanna have categories that , uh  that would be straightforward for , say , a human being to mark if you had manual annotation. And it 's something that you really think you can pick up. But I think it 's also essential that you wanna look at what are the  confusions that you 're making and how can you come up with , uh , categories that , uh , can clarify these confusions.