Reading Notes

Notes and summaries from reading ML/AI papers (and some blog posts). All credit to the content in the papers and blog posts goes to the original authors.

R-lens: Making J-lens More Faithful on Early Layers

R-Lens

2 min read · August 21, 2026

2026 · distillation
Verbalizable Representations Form a Global Workspace in Language Models

J-Lens and J-Space

17 min read · August 19, 2026

2026 · distillation
Scaling RL training in the age of multi-agent systems

Raymond Feng AC2

2 min read · August 11, 2026

2026 · distillation
InstructPix2Pix: Learning to Follow Image Editing Instructions

InstructPix2Pix

3 min read · August 09, 2026

2026 · distillation
Video Generation Models are General-Purpose Vision Learners

GenCeption

3 min read · July 26, 2026

2026 · distillation