But your point hits on one of the first cracks to show in this story: We already have companies consuming much of the web and training models on all of our books, but the reports they produce are of mixed quality.
The article tries to get around this by imagining models and training runs a couple orders of magnitude larger will simply appear in the near future and the output of those models will yield breakthroughs that accelerate the next rounds even faster.
Yet here we are struggling to build as much infrastructure as possible to squeeze incremental improvements out of the next generation of models.
This entire story relies on AI advancement accelerating faster in a self-reinforcing way in the coming couple of years.