Comparison
Co vs Ilya Sutskever's 30 Papers
A factual side by side of two tools in Indie AI Tools. Figures come from each product’s own site.
Co
ListedEvery AI coding agent signs its commits with a forgeable plain-text line.
Ilya Sutskever's 30 Papers
ListedExplore the deep learning reading list Ilya Sutskever gave John Carmack, with free audio explainers for AlexNet, ResNet, Transformers, scaling laws, and more.
| Co | Ilya Sutskever's 30 Papers | |
|---|---|---|
| Category | Indie AI Tools | Indie AI Tools |
| Pricing model | Not disclosed | Not disclosed |
| Starting price | Not disclosed | Not disclosed |
| Free tier | No | No |
| Platforms | Not disclosed | Not disclosed |
| Techavy score | Not rated yet | Not rated yet |
About Co
Every AI coding agent signs its commits with a forgeable plain-text line. Co-authored-by is a Lie: Cryptographic Provenance for AI Coding Agents . It matters now, because the attribution metadata is starting to be used to make trust decisions, and that turns a cosmetic line into an attack surface. Commit metadata has always been trivial to fake unless signing is enforced. So over a couple of evenings I built the missing half: a producer-attribution layer where attribution is backed by a hardware key, enforced automatically, and verifiable .
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.
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