ruin that but they're just up here some ways fundings like the Curt you really care about this lower envelope but this is the same thing kind of happens on imagenet you just keep making them bigger well you'll know he's like we have log axis on the X and and and and linear on the Y so semi-log this I pulled from a paper by some Google folks because only Google folks would think it would be fun to train something with 600 billion parameters million million million ok that's reasonable 600 billion was stupid but six our million perfectly