[famouswaffles]

Because training takes time (months), money and hardware. It's not like this is some instantaneous process.

Nobody has any knowledge of the "magic number" of size and data before "AGI" so people train increasingly large models.

Bigger models are in the process of being trained. They will continue to be until they no longer get better.