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2min chapter
Ethan Caballero–Broken Neural Scaling Laws
The Inside View
How to Find Universal Scaling Laws for Artificial Neural Networks
In the paper you mentioned that for upstream it's somehow easy to predict. So could we have breaks in large range models in the upstream performance? Yeah like for four digit arithmetic there's like dramatic breaks for upstream performance. Do you think your formula has some application for is this for its minimization or AI safety? I think it matters although they sometimes describe it more vaguely than I would prefer.
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