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2,343 notes from my AI research vault, mapped by topic. Pick a topic to see its notes, or search.
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How Benchmarks Mis-Score Computer-Use Agents
A research paper discusses issues with the scoring system of computer-use agents (software that navigates the web and operates desktop software). The authors argue that current scores are often inaccurate due to…
Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials
A study compares various matrix-structured optimizers, including SOAP, Muon, and a hybrid of the two, with Adam and its variants for training machine learning interatomic potential (MLIP) models. The new optimizers are…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
