AI Engineering ／ Anthropic and Claude
Anthropic Interpretability + Claude Behavior Research (Natural Language Autoencoders + User Usage Insights)
5 hub articles from the Anthropic research section: Natural Language Autoencoders (decoding Claude's internal activations into natural language, a major breakthrough in May 2026) + How people ask Claude for personal guidance (sampling of 1 million conversations / 6% are seeking life advice) + BioMysteryBench (bioinformatics evaluation) + Why do AI models hallucinate? + What is sycophancy? + 4 research team pages (Alignment / Economic Research / Interpretability / Societal Impacts). Covers three areas of research: "how AI thinks internally + how users use it + what bugs it is prone to"