Ilya Sutskever's 30 Papers vs Verdict

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

Compare candidates on six evidence-cited dimensions and produce a defensible hiring document, written, signed, filed. Free to try, no card.

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 Verdict

Compare candidates on six evidence-cited dimensions and produce a defensible hiring document, written, signed, filed. Free to try, no card. In minutes it issues a scored, evidence-cited verdict: a ranked shortlist or a head-to-head you can defend to your team. Six dimensions, Capability, Track record, Trajectory, Influence, Domain edge, Risk surface, each scored 1–5, out of 30. Scoring disregards identity by instruction, names, gender, and age are set aside, and in a head-to-head the candidate order is randomized before a blind synthesis assigns the scores.