Comparison
Ilya Sutskever's 30 Papers vs Welcome
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.
Welcome
ListedModel your project's quality so teams and agents can evaluate it, stay aligned on what good means, and improve it over time.
| Ilya Sutskever's 30 Papers | Welcome | |
|---|---|---|
| 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 Welcome
Model your project's quality so teams and agents can evaluate it, stay aligned on what good means, and improve it over time. is designed to be agent, tool, and vendor agnostic. serve as both a reference implementation and starter kit for working with QUALITY.md files, including the ability to create a comprehensive quality evaluation report . Ensure stakeholders are aligned on what matters most and why. Build agentic control loops to continuously maintain and improve quality .
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