6 thinkers, books, and ideas connected to this field.
Philosopher and AI researcher at Anthropic who works on AI alignment and character — particularly the design of Claude's values, personality, and approach to difficult conversations — previously at OpenAI and known for work on RLHF and AI character.
AI researcher known for pioneering neural network interpretability and visualization — creator of distill.pub (the most beautiful ML publications journal), Google Brain and later Anthropic researcher — whose work on features, circuits, and mechanistic interpretability is foundational to understanding what happens inside neural networks.
American AI researcher — co-founder and CEO of Anthropic — former VP of Research at OpenAI — who founded Anthropic with his sister Daniela Amodei after leaving OpenAI over safety concerns — one of the most consequential figures in the development of large language models.
American physicist and AI researcher at Anthropic who co-authored the Neural Scaling Laws paper — demonstrating that AI model performance improves predictably as a power law function of model size, data, and compute — one of the most consequential empirical findings in modern AI.
Product and research professional at Anthropic working on Claude — referenced in discussions of AI product development.
American AI researcher at Anthropic — who works on mechanistic interpretability — known for research on superposition in neural networks and toy model analysis of how transformers store information.