Beyond

Gábor's collection of recommended readings, listening. Wide variety from practical to business and nerdy stuff. *This version is 0.5.0. (2025-05-10)* ## Basics ### Core readings - Ethan Mollick "Co-Intelligence: Living and Working with AI" [Penguin Random House 2024](https://www.penguinrandomhouse.com/books/741805/co-intelligence-by-ethan-mollick/) - Anton Korinek "Generative AI for Economic Research: Use Cases and Implications for Economists," [Journal of Economic Literature 61(4) December 2024 Update 1–74](https://doi.org/10.1257/jel.20231736) ### Important reviews - Review of LLMs by [Simon Willison](https://simonwillison.net/2024/Dec/31/llms-in-2024/) - Machines of Loving Grace [Dario Amodei](https://darioamodei.com/machines-of-loving-grace) ### Prompting * AI Frontiers in Plain English: Prompt Engineering guide from Google with LM Notebook [Part 1. LLM output configurations](https://creators.spotify.com/pod/profile/steven-ge/episodes/Prompt-Engineering-guide-from-Google-Part-1--LLM-output-configurations-e31eqel) + others ### Understanding LLMs - Glossary of LLM terms [Glossary of LLM Terms](https://www.vectara.com/glossary-of-llm-terms) - [Financial Times: How AI Large Language Models Work](https://ig.ft.com/generative-ai/) - [The Economist: How Large Language Models Work](https://www.economist.com/science-and-technology/2024/07/11/researchers-are-figuring-out-how-large-language-models-work) - [Thinking like AI](https://www.oneusefulthing.org/p/thinking-like-an-ai) - What's an LLM context window and why is it getting larger? [IBM research on context window](https://research.ibm.com/blog/larger-context-window) ### AI and business / management - Strategy in business [Build a winning AI strategy, HBR 2023](https://hbr.org/2023/07/build-a-winning-ai-strategy-for-your-business) - Interview with Rafella Sadun on [Reskilling workforce with AI](https://sloanreview.mit.edu/audio/reskilling-the-workforce-with-ai-harvard-business-schools-raffaella-sadun/) from MIT Sloan Review ## Additional readings ### Consequence of AI How NLP was killed by Transformers/ LLMs in [Quant magazine 2025 April](https://www.quantamagazine.org/when-chatgpt-broke-an-entire-field-an-oral-history-20250430/?) ### Blogs, newsletters * Blog post by Posit [Text Summarization, Translation, and Classification using LLMs: mall does it all](https://posit.co/blog/mall-ai-powered-text-analysis/) * Simon Willis blog post [LLM and coding](https://simonwillison.net/2025/Mar/11/using-llms-for-code/) * Ethan Mollick substack: [One useful thing](https://www.oneusefulthing.org/) * [Alpha Signal](https://alphasignal.ai/) newsletter * How [Andrej Karpathy](https://x.com/karpathy/status/1915581920022585597) is adopting AI assisted coding. ### Video Resources on AI - Andrej Karpathy [Introduction to Large Language Models](https://www.youtube.com/watch?v=zjkBMFhNj_g) -- 1hs overview, a great start - Andrej Karpathy [Deep Dive into LLMs like ChatGPT](https://www.youtube.com/watch?v=7xTGNNLPyMI) -- 3hs comprehensive updated version of the Intro video - Andrej Karpathy: ["Let's build GPT: from scratch, in code, spelled out"](https://www.youtube.com/watch?v=kCc8FmEb1nY) - Interview with a great [Sendhil Mullainathan on direction AI](https://youtu.be/z_svj3NP968?si=cWUoVAImTF4PZ_aw) ## deeper stuff on AI * Artificial intelligence learns to reason in [Science](https://www.science.org/doi/10.1126/science.adw5211)