Viewpoint: Parameter Count Matters Only Up to a Threshold; Post-Training Drives Future Gains
cephaloform · x · 2026-08-19
Challenging the industry's focus on parameter count, Teortaxes argues that total parameters matter only up to a threshold sufficient to 'hold the world,' after which additional capability stems from scaling effective depth and, above all, post-training. GLM-5.3 is cited as a controlled experiment for this claim. The context highlights that Scaling Law involves not just parameters but data volume, compute allocation, and deployment conditions, marking a shift from pure parameter scaling to compute-optimal trade-offs.
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