A simple formula generalizes static AI scaling laws to time-varying efficiency, showing that efficiency-doubling rates around 2 per year keep loss reduction on a near-exponential path.
Unified scaling laws for routed language models,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
The Race to Efficiency: A New Perspective on AI Scaling Laws
A simple formula generalizes static AI scaling laws to time-varying efficiency, showing that efficiency-doubling rates around 2 per year keep loss reduction on a near-exponential path.