The shift follows a trend where AI "research taste" doubles every 3 months and internal models like OpenAI's "Aeon" achieve complex math results in 1 shot, utilizing an average of 3 hours of thinking per problem. While Clark frames these advancements as markers of an invisible frontier, some critics have questioned that Anthropic executives report on these developments as if they were external events rather than the results of their own engineering.
