Sutskever's List: Foundational Ideas of Modern AI
Foundational: Sutskever's List is a guided account of the research ideas behind modern AI, tracing developments from AlexNet and ResNet through attention, Transformers, scaling, reasoning, and safety. The book connects landmark papers to technical, historical, and practical context, with an appendix on engineering design patterns.
At a glance
- Explains landmark AI research through its historical and technical context, rather than focusing only on the papers themselves.
- Coverage moves from AlexNet and ResNet to sequence models, speech systems, attention, Transformers, and hyperscale.
- Later chapters consider reasoning, complexity, and AI safety.
- Includes nine chapters, an epilogue, and an appendix on design patterns for engineers.
Reference price: $49.99
Price checked: Nov 14, 2026
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Pros and cons
Pros
- Connects foundational research to engineering choices and real-world implications.
- The publisher says specialist background is not required, making the technical history more approachable to curious readers.
- Spans both practical deep-learning topics and questions about reasoning and safety.
Technical specifications
8 specifications| Publisher | Manning Publications |
|---|---|
| Publication date | July 28, 2026 |
| Language | English |
| Print length | 336 pages |
| ISBN-10 | 1633434796 |
| ISBN-13 | 978-1633434790 |
| Weight listed | 11.7 ounces |
|---|---|
| Dimensions | 7.38 x 0.76 x 9.25 inches |
Who is it for?
A good fit for
- Readers interested in the ideas and research history behind modern AI and deep learning.
- Engineers, technical leaders, and curious readers seeking context for attention, scaling, reasoning, and AI safety.
- People who want an accessible guided overview rather than a specialist paper collection.
Less suited to
- Readers primarily seeking hands-on coding exercises or a step-by-step implementation manual. The listing describes a guided conceptual and historical account.
Customer reviews on Amazon
- 5 stars
93% 93% - 4 stars
0% 0% - 3 stars
0% 0% - 2 stars
7% 7% - 1 star
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Aggregate customer ratings lean strongly positive, though a smaller share fall in the two-star category. This provides a generally favorable but limited signal, not evidence about specific strengths or shortcomings. The product description positions the book as an accessible, technically informed overview, so buyers should judge whether that research-and-context focus matches the kind of AI book they want.
Frequently asked questions
What topics does Sutskever's List cover?
It follows major developments including AlexNet, ResNet, sequence models, speech systems, attention, Transformers, scaling, reasoning, and AI safety.
Does the book require specialist knowledge?
The listing presents it as accessible without a specialist background, while still offering technical explanations and engineering context.
Is this a hands-on coding book?
The description focuses on explaining research ideas, history, and engineering patterns. It mentions a practical appendix, but does not describe a sequence of coding exercises.
What is the listed print length?
The listing gives a print length of 336 pages.
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