Machine Intelligence - 2026

A chronological archive of Machine Intelligence reading list posts.

2024

June 2024

πŸ”— Why we no longer use LangChain for building our AI agents:

πŸ”— Gen AI Testing and Evaluation with ARTKIT

πŸ”— I Will Piledrive You If You Mention AI Again

πŸ”— Reverse Turing Test Experiment with AIs

πŸ”— Will We Run Out of Data? Limits of LLM Scaling Based on Human-Generated Data

πŸ”— SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

πŸ”— Can LLMs invent better ways to train LLMs?

πŸ”— Sober AI is the Norm

πŸ”— Why Apple is Taking a Small-Model Approach to Generative AI

πŸ”— Transforming Customer Support and Sales with Mendable's AI Solutions

πŸ”— The Next Great Scientific Theory is Hiding Inside a Neural Network

πŸ”— My personal AI research agenda, mid 2024 (and a pitch for work)

πŸ”— Back To Atoms

πŸ”— The Future of AI

πŸ”— Generative AI Handbook: A Roadmap for Learning Resources -- genai-handbook.github.io

πŸ”— Grounding - Enhance GEN AI with YOUR DATA (youtube.com)

πŸ”— Introducing Generative Physical AI -- youtube.com

πŸ”— What's the future for generative AI? The Turing Lectures with Mike Wooldridge (youtube.com)

πŸ”— Achieving the Self-Thinking Business (linkedin.com)

πŸ”— What We Learned from a Year of Building with LLMs (Part I) (oreilly.com)

πŸ”— What is the biggest challenge in our industry? (thrownewexception.com)

πŸ”— Scaling Monosemanticity - Extracting Interpretable Features from Claude 3 Sonnet (transformer-circuits.pub)

πŸ”— Here’s what’s really going on inside an LLM’s neural network (arstechnica.com)

πŸ”— If AI Can Do Your Job, Maybe It Can Also Replace Your CEO (nytimes.com)


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