YY Ahn

I think that's exactly what many skills are about. Many of github.com/yy/claude-sc... are basically such checklists to go through.

GitHub - yy/claude-scholar: Academic research tools for Claude Code — literature search, citation management, LaTeX checks, math verification, and submission preparation github.com

Neural Scaling Universality: If Exponents Are Fixed, Time to Understand Coefficients arxiv.org/abs/2606.25008

Neural Scaling Universality: If Exponents Are Fixed, Time to Understand Coefficients arxiv.org

"Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs" arxiv.org/abs/2402.03927

Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs arxiv.org

This paper looks cool: arxiv.org/abs/2605.23901 "We propose the Shannon Scaling Law, a unified theoretical framework that models LLM training as information transmission over a noisy channel ... The Shannon Scaling Law consistently outperforms classical scaling laws ..."

LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws arxiv.org

Sutton's "Bitter Lesson" keeps showing up in new corners. Latest example on data filtering for pretraining: arxiv.org/abs/2605.19407 "... with enough compute, the best data filter is no data filter." -- Btw, Welch Labs has a nice video on the "bitter lesson": www.youtube.com/w…

A Bitter Lesson for Data Filtering arxiv.org

"A lecture is the process whereby the notes of the professor become the notes of the student without passing through the mind of either." I think this may apply to lots of "LLM wiki" usage.