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.

Tutorial on Diffusion Models for Imaging and Vision

Tutorial on diffusion models

1 min read · February 12, 2026

2026 · partial-read · distillation
Learning to Discover at Test Time

TTT-Discover

4 min read · February 11, 2026

2026 · distillation
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features

ConceptAttention

3 min read · February 10, 2026

2026 · distillation
Recursive Language Models

RLMs

4 min read · February 09, 2026

2026 · distillation
FLUX.2: Analyzing and Enhancing the Latent Space of FLUX – Representation Comparison

Flux 2 technical reports

3 min read · February 09, 2026

2026 · distillation