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Scaling Laws
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Scaling Laws
Sifting through hundreds of thousands of hours of indexed videos
Scaling Laws
Arcmira media summary
Explore podcasts, interviews & explainers on Scaling laws — 100 indexed from DigitalFoundry & Dwarkesh Patel, updated May 2026.
Discussion on how model performance improves predictably with compute, data, and parameters
Discussion on the predictability of model performance relative to compute and data.
The principle that AI model performance improves predictably with more compute and data.
The primary subject of the lecture, focusing on the relationship between compute, data, and model size.
The primary technical topic regarding the relationship between compute and model performance.
Arcmira tracks 100 indexed media appearances or mentions for Scaling laws, tied to source videos, channels, and transcript-derived context.
Arcmira uses indexed YouTube videos and transcripts. Representative source evidence on this page includes "2-Hour Stanford AI Lecture Explains How AI like ChatGPT and Claude are actually built" with transcript-derived context and links when available.
Scaling laws is connected to Dwarkesh Patel, Wes Roth, Y Combinator in Arcmira's media graph.
100
Mentions
9.5M
Views
The trendline is visible, but the dated evidence behind Scaling laws is in the premium layer.
“Discussion on how model performance improves predictably with compute, data, and parameters”
“Discussion on the predictability of model performance relative to compute and data.”
“The principle that AI model performance improves predictably with more compute and data.”
“The primary subject of the lecture, focusing on the relationship between compute, data, and model size.”
“The primary technical topic regarding the relationship between compute and model performance.”