HermesBench vs Ilya Sutskever's 30 Papers

HermesBench benchmarks full Hermes personal-agent configurations with public recipes, redacted trace evidence, and reproducibility metadata.

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

About HermesBench

HermesBench benchmarks full Hermes personal-agent configurations with public recipes, redacted trace evidence, and reproducibility metadata. The current public baseline scores 78.2 across 27 personal-agent recipes with redacted traces you can inspect. The site is deliberately clear that this is one early baseline, not a base-model leaderboard. Recipes What was tested Search by category, prompt, goal, and criteria. The public user pathway is intentionally simple: copy the prompt to Codex, Claude, or another coding agent. Full bundle runs are opt-in because they take longer and cost more.

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.