Andrew Mack Scale Aware Interpretability

Summary

Science and engineering are inseparable. Our researchers reflect on the close relationship between scientific and engineering ... Eric Michaud returns to the stream to talk about his recent work on Migrating custom code during an ECC to SAP S/4HANA Cloud Private Edition system conversion can be a complex and ... A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ... Atticus Geiger from Pr(Ai)²R Group explores “State of This AMA with Arthur Conmy, a research engineer at Google DeepMind, delves into the complexities of AI MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: Peter Szolovits View the complete course: ... ... reading group tonight we will be discussing the article steering evaluation Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ... Recorded 01 September 2026. Max Tegmark of the Massachusetts Institute of Technology presents "Neural network ... Nobody — not even the people who build them — can fully explain how today's large language models work. Mechanistic ... Swap in a smarter model and you get a slightly better answer. Take away the tests, gates and review, and everything falls apart. In this episode of Chain of Thought, 's Brad Kenstler (Head of Agent Capabilities and Environments) and Chetan ... What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models ...