Ilya Sutskever's 30 Papers vs Parchmint

Explore the deep learning reading list Ilya Sutskever gave John Carmack, with free audio explainers for AlexNet, ResNet, Transformers, scaling laws, and more.

Parchmint shows the honest preview an LLM actually sees, every token, every warning, so your prompts, skill files, and docs land exactly as written. Free, open source,...

About Ilya Sutskever's 30 Papers

Explore the deep learning reading list Ilya Sutskever gave John Carmack, with free audio explainers for AlexNet, ResNet, Transformers, scaling laws, and more. These courses, books, and code-heavy pieces do not currently have a ListenDock audio episode. When legendary game programmer John Carmack decided to move into AI, he asked OpenAI co-founder Ilya Sutskever what he should read. Ilya handed him a list of around thirty works and said that learning them would cover 90% of what matters in modern deep learning.

About Parchmint

Parchmint shows the honest preview an LLM actually sees, every token, every warning, so your prompts, skill files, and docs land exactly as written. Free, open source, local-first. Pseudo-tags like <what-to-do> surface as labeled blocks instead of silently vanishing, while the outline, detected document type and token estimate update as you type. As tokenized ## Context You are a precise editor . Counts use OpenAI's o200k tokenizer, exact for GPT models, approximate (~±10–15%) for Claude and others.