AGI Race Shifts from Scaling to Cost-Efficiency
beffjezos · x · 2026-07-12
The author argues that some teams are overly obsessed with building a "Singleton AI God," using this narrative to reinforce their own reality. The true divide lies between continuing to pursue scale-maxxing versus maximizing "intelligence per dollar"—with the latter aligning much closer to actual market demands.
The cited text also mentions that Anthropic is perceived as highly focused on RSI: avoiding side quests like image and video generation to concentrate solely on coding and text, while continuing to bet heavily on large-scale pretraining, even if it means higher costs, lower adoption rates, and a disregard for consumer-tier use cases.
Related event: OpenAI and Anthropic Diverge on AGI Strategy(3 posts)→
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