Hacker News with Generative AI: Reading Lists

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: