Popping the AI Bubble: Strong Models for Pipelines, Cheap Tokens for Execution
sven_ai · x · 2026-08-07
The author argues that the real AI bubble isn't about too many models, but rather about teams using the most expensive models for the dumbest tasks.
He suggests a more cost-effective engineering paradigm: using strong models to design the workflow, and relying on cheap tokens for execution. Once this pipeline is optimized, it will drastically reduce operational costs and create a significant competitive divide between teams.
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