But we could talk about this stuff , I think this would be fun to do.  Right.
that , uh , you know , this therefore is further evidence that , you know , more data is really all you should care about , and that I thought was just kind of going too far the other way ,
Machine - learning.
and  and the  the , uh , one  one person ga g g got up and made a  a brief defense , uh , but it was a different kind of grounds , it was that  that , uh , i w the reason people were not using so much data before was not because they were stupid or didn't realize data was important , but in fact th they didn't have it available. Um , but the other point to make a again is that , uh , machine learning still does matter , but it  it matters more in some situations than in others , and it  and also there 's  there 's not just mattering or not mattering , but there 's mattering in different ways. I mean , you might be in some situation where you care how much memory you 're using , or you care , you know , what recall time is ,