Hacker News with Generative AI: Reading Lists

Ask HN: AI Reading List (ycombinator.com)
In the thread about John Carmack presentation, somebody mentioned the reading list he got from Ilya which were crucial to understand what matters and the current state of the knowledge (at the time).<p>After some googling, it seems like this list is plausible, although not confirmed: https://github.com/dzyim/ilya-sutskever-recommended-reading?tab=readme-ov-file<p>What would an actualized list look today ?
I read 600 books this past decade; these are my recommendations (brianhama.com)
Outside of books assigned for school, I was never much of a reader growing up. Back in 2012, I decided to change that and set a goal of reading one book a month for a year. I got hooked. Since then, I've read over 600 books.
The 2025 AI Engineer Reading List (latent.space)
We picked 50 paper/models/blogs across 10 fields in AI Eng: LLMs, Benchmarks, Prompting, RAG, Agents, CodeGen, Vision, Voice, Diffusion, Finetuning. If you're starting from scratch, start here.
AI Engineering Reading List (latent.space)
We picked 50 paper/models/blogs across 10 fields in AI Eng: LLMs, Benchmarks, Prompting, RAG, Agents, CodeGen, Vision, Voice, Diffusion, Finetuning. If you're starting from scratch, start here.
The Lost Reading Items of Ilya Sutskever's AI Reading List (tensorlabbet.com)
In this post: An attempt to reconstruct Ilya Sutskever's 2020 AI reading list (8 min read)
A Distributed Systems Reading List (2014) (dancres.github.io)
I often argue that the toughest thing about distributed systems is changing the way you think. The below is a collection of material I've found useful for motivating these changes.
A Summary of Ilya Sutskevers AI Reading List (tensorlabbet.com)
Earlier this year, a reading list with about 30 papers was shared on Twitter. It reportedly forms part of a longer version originally compiled by Ilya Sutskever, co-founder and chief scientist of OpenAI at the time, for John Carmack in 2020 with the remark: