Comparison
Generalized 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.
Generalized
ListedSoftware is cheap. Skills are generalized. Publish your AI agent skills, add proof, get found.
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.
| Generalized | 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 Generalized
Software is cheap. Skills are generalized. Publish your AI agent skills, add proof, get found. Build the marketing page for a web app with an existing foundation, using the brief's voice and design language to defeat generic AI output. Build the interactive dashboard UI (calendar, modals, chat, settings) on top of a working backend, consuming its contracts without re-implementing logic.
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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