we added a lot of parameters.

We added a LOT of data.

The resulting models have become only slightly better. And they still have all of their old problems.

I think this is proof that scaling doesn't work. It's not like we just doubled the sizes, they increased by a lot, but improvements are less and less each time. And they've already run out of useful data.