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Comparison

Ilya Sutskever's 30 Papers vs Scholar Sidekick

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

Listed

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

Scholar Sidekick

Listed

Free fake citation detector. Resolves the identifier and compares the resolved title to the cited one, catching the real-DOI-plus-invented-title pattern.

Ilya Sutskever's 30 Papers compared with Scholar Sidekick
 Ilya Sutskever's 30 PapersScholar Sidekick
CategoryIndie AI ToolsIndie AI Tools
Pricing modelNot disclosedFree
Starting priceNot disclosedNot disclosed
Free tierNoYes
PlatformsNot disclosedNot disclosed
Techavy scoreNot rated yetNot 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 Scholar Sidekick

Free fake citation detector. Resolves the identifier and compares the resolved title to the cited one, catching the real-DOI-plus-invented-title pattern. This is a syntactic check : identifier resolution plus bibliographic field agreement (title, first author, year, container). It does not verify that the resolved paper actually supports the claim you are citing it for. Claim-vs-content checking is a separate problem and is not solved here. Title, first-author family, year, and container are compared between your claim and the resolved record.

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