Rethinking Scaling Laws and Chinchilla
suchenzang · x · 2026-07-20
The author argues that "Scaling laws," which originated from OpenAI founders and peaked with the DeepMind Chinchilla paper, might be a trap for those blindly accepting them.
Drawing on a referenced analysis, the author suggests these papers, which essentially "fit a bunch of data points to a straight line," are likely flawed when extrapolated to extremes. A careful review of the Chinchilla paper's math reveals significant issues.
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