Knowledge Flywheels: A New Scaling Dimension for AI Systems
yisongyue · x · 2026-08-06
The article explores a new paradigm in AI scaling: alongside scaling models via data and compute, and scaling agents via tools and verification, knowledge scaling is emerging as a new dimension.
The author notes that while AI systems generate massive amounts of experience, they rarely convert it into reusable knowledge. By systematically curating architectural constraints, recurring failures, and better verification strategies discovered during agent runs, a "knowledge flywheel" can be established.
This accumulation of knowledge allows subsequent tasks to build on previous lessons, significantly boosting the evolutionary efficiency of AI systems.
Related event: Knowledge Scaling Emerges as a New Dimension for AI Agents(2 posts)→
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