// curated_library
Seminal papers, key talks, and essential videos from the people shaping AI — filtered for signal, not noise.
type:
all
papers
videos
blog posts
talks
author:
all
Andrej Karpathy
Bai et al. (Anthropic)
Dario Amodei
Geoffrey Hinton
Goodfellow, Bengio, Courville
Kaplan et al. (OpenAI)
Sam Altman
Vaswani et al. (Google Brain)
paper
Scaling Laws for Neural Language Models
The empirical laws governing how model performance scales with compute, data, and parameters. The theoretical backbone behind the scaling hypothesis that has driven frontier AI for five years.
scaling laws
language models
compute
empirical ML
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