Machine Intelligence - 2026
A chronological archive of Machine Intelligence reading list posts.
2024
February 2024
🔗 Spreadsheets are all you need - Understanding GPT2 and Transformers with Spreadsheets
🔗 SORA Video To Video Is Literally Mind Blowing - 12 HD Demos - Changes Industry Forever For Real
🔗 Sora is a data-driven physics engine
🔗 SORA
🔗 Sam Altman Seeks Trillions of Dollars to Reshape Business of Chips and AI
🔗 Romanes Lecture: ‘Godfather of AI’ speaks about the risks of artificial intelligence
🔗 Reduce AI Hallucinations with Retrieval Augmented Generation
🔗 OWASP LLM AI Security and Governance Checklist v1 (pdf)
🔗 OpenAI shocks the world yet again … Sora first look
🔗 Mamba Explained: The State Space Model taking on Transformers
🔗 Machine Learning Research at Apple
🔗 Large Language Models: A Survey
🔗 Klarna says its AI assistant does the work of 700 people after it laid off 700 people
🔗 Jeff Dean (Google): Exciting Trends in Machine Learning
🔗 Is OpenAI the next challenger trying to take on Google Search?
🔗 Introduction to Matryoshka Embedding Models
🔗 I analysed 5M freelancing jobs to see what jobs are being replaced by AI
🔗 How I'd Learn AI (If I Had to Start Over)
🔗 GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis
🔗 GPT4's system prompt was leaked
🔗 GeneGPT
🔗 GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting
🔗 FCC Makes AI-Generated Voices in Robocalls Illegal
🔗 EmoSpeaker: One-shot Fine-grained Emotion-Controlled Talking Face Generation
🔗 Demis Hassabis on Chatbots to AGI | Hard Fork EP 71
🔗 Deep Learning Discovers Antibiotics
🔗 Cory Doctorow: What Kind of Bubble is AI?
🔗 Chain-of-Thought Reasoning Without Prompting
🔗 Beyond Self-Attention: How a Small Language Model Predicts the Next Token
🔗 Ancient Herculaneum scroll piece revealed by AI
🔗 AI is the average of the Internet: WPP, Don't become an AI North Korea
🔗 AI Hallucinations : Fear Not — It’s A Solved Problem — Here’s How (With Examples!)
🔗 AI assistance is leading to lower code quality, claim researchers
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