This article is based on wild speculations of how much things cost, and doesn’t account for ways to make things cheaper over time. We already have papers that suggest most big models are undertrained and smaller models can get the same accuracy.

Google should easily spend the $33B if it keeps them on top while finding ways to make things cheaper, more accurate, smarter.