More troubling to me is the focus on pre-2022 data. This indicates that the companies are seriously worried about model collapse, where the future models become worse becuase they are being fed by generated data instead of real human data.
This is actually my worse case scenario for AI: the models become good enough to disrupt entire industries in the next 10 years, but then stay frozen at that level. Model drift then kicks in because the world will keep changing but the models do not, and in a few decades we actually regress instead of progress becuase they won't be enough skilled humans to drive advances.