Machine Intelligence - 2026
A chronological archive of Machine Intelligence reading list posts.
2024
January 2024
🔗 Torvalds Speaks: Impact of Artificial Intelligence on Programming
🔗 The Random Transformer: Understand how transformers work by demystifying all the math behind them
🔗 The Impact of Reasoning Step Length on Large Language Models
🔗 The chaos inside OpenAI – Sam Altman, Elon Musk, and existential risk explained | Karen Hao
🔗 The 6 Types of Conversations with Generative AI
🔗 Ten Noteworthy AI Research Papers of 2023
🔗 State-of-the-art Code Generation with AlphaCodium – From Prompt Engineering to Flow Engineering
🔗 State of AI & predictions for 2024
🔗 Stanford’s mobile ALOHA robot learns from humans to cook, clean, do laundry
🔗 Seven Failure Points When Engineering a Retrieval Augmented Generation System
🔗 Self-Consuming Generative Models Go MAD
🔗 Sean Moriarty - The Future of Large Language Models is Elixir
🔗 RAG Using Unstructured Data & Role of Knowledge Graphs (part 2/2)
🔗 Pushing ChatGPT's Structured Data Support To Its Limits
🔗 Meta releases prompt engineering guide to help beginners and pros prompt like experts
🔗 Mathematical Introduction to Deep Learning (Arxiv, 2310.20360)
🔗 Machine Learning Video Library
🔗 Machine Learning Engineering Open Book
🔗 GenAI could make KYC effectively useless
🔗 DocLLM: A layout-aware generative language model for multimodal document understanding
🔗 Direct Preference Optimisation: Your Language Model is Secretly a Reward Model
🔗 crewAI
🔗 Coca-Cola’s accidentally terrifying Christmas card AI image generator
🔗 Centaurs and Cyborgs on the Jagged Frontier
🔗 Attacks on machine learning models
🔗 AI Won’t Kill Our Jobs, It Will Kill Our Job Descriptions—and Leave Us Better Off
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