
The 30 Papers — Ilya Sutskever's Deep Learning Reading List (for John Carmack) |
收听Ilya Sutskever精选的30篇AI论文的免费音频讲解。
janpmz · HN
Ilya's 30 papers, explained in audio
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收听Ilya Sutskever精选的30篇AI论文的免费音频讲解。
janpmz · HN
Ilya's 30 papers, explained in audio

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@AadyaAI · X
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@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

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@QuantBuddyAI · X
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asm28208 · HN
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@Gaurav_dev01 · X
