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.

Auditing language models for hidden objectives

auditing model internals

2 min read · December 05, 2025

2025 · distillation
DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning

DeepseekMath2

3 min read · December 04, 2025

2025 · distillation
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Deepseek V3.2

6 min read · December 03, 2025

2025 · distillation
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Multiagent Fine Tunes

1 min read · November 30, 2025

2025 · distillation
ML Tea: Planning and Problem-Solving with General, Scalable Neuro-Symbolic Models

ML Tea LLMs \+ symbolic computing

4 min read · November 24, 2025

2025 · partial-read · distillation