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.

What’s in the Image? A Deep-Dive into the Vision of Vision Language Models

VLM QA mech interp

2 min read · April 13, 2026

2026 · distillation
Generative Modeling via Drifting

Drifting

4 min read · April 08, 2026

2026 · partial-read · distillation
FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Flux.1 Kontext

2 min read · April 04, 2026

2026 · distillation
MaxRL: Maximum Likelihood via Reinforcement Learning

Maximum likelihood RL

4 min read · April 01, 2026

2026 · distillation
Circuit Mechanisms for Spatial Relation Generation in Diffusion Transformers

Circuits in DiTs

5 min read · March 22, 2026

2026 · distillation