The key aspect is that the performance scales with more datasets.
I'm still not seeing it as the future, unless AI chips become more common, and are not just designed by the most profitable company, just because it can.
If you notice, Nvidia is not looking to cut prices and make affordable products, au contraire.
So this scalability, not having enough chips, I think, is what is truly stopping the advance.
Also ironically, these big companies having to spend so much, as if AI right now is synonym with big capital investments, and not abundance of availability, itself... Maybe this slow down aspect is good for us... As it holds the power of AI in leash, until people truly know what to do with it.
The datasets are free? So the very essence of AI should be availability... not being locked by big capital expenditure of these companies.
I like that the whole transformer architecture is based on a research, brainstorm from scientists.