Comparison
Ilya Sutskever's 30 Papers vs wavecat
A factual side by side of two tools in Indie AI Tools. Figures come from each product’s own site.
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.
| Ilya Sutskever's 30 Papers | wavecat | |
|---|---|---|
| Category | Indie AI Tools | Indie AI Tools |
| Pricing model | Not disclosed | Open Source |
| Starting price | Not disclosed | Not disclosed |
| Free tier | No | No |
| Platforms | Not disclosed | Not disclosed |
| Techavy score | Not rated yet | Not rated yet |
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 wavecat
A fully local personal agent that watches your screen. All models run locally, so no personal data ever leaves your device. Once the app is installed, you will be guided through the vision and language model installation process. These models will take roughly 19 GB of disk space (even when heavily quantized) since they contain billions of parameters. You will also be guided to allow wavecat to view your screen. With this, wavecat will develop a rich understanding of your activity and goals.
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