In this episode of the Lex Fridman podcast, Lex sits down with Dario Amodei, CEO of Anthropic, along with team members Amanda Askell and Chris Olah. They dive into Anthropic's work on Claude, a cutting-edge large language model (LLM), and the vital topic of AI safety. Amodei discusses the scaling hypothesis, which suggests that larger models trained on more data and with more computing power lead to greater intelligence. He also introduces Anthropic's Responsible Scaling Policy (RSP) and AI Safety Levels (ASL) as strategies to address potential risks. Askell shares insights into her role in developing Claude's character and personality, highlighting the ethical challenges of shaping AI behavior. Meanwhile, Olah explores mechanistic interpretability, focusing on uncovering features and circuits within LLMs and how this research can improve AI safety. The conversation also covers various aspects of LLM development, including benchmarks, user experience, regulation, and the future of AI.
