Josh Batson

Josh Batson, a research scientist at Anthropic with a Ph.D. in math from MIT, dives into the complexities of AI models. He discusses the alarming lack of understanding surrounding AI operations and stresses the need for interpretability to avoid ethical pitfalls. The conversation highlights the intriguing role of features in AI’s decision-making and the risks of 'jailbreaking' models. Batson also compares AI systems to biological functions, shedding light on the evolving landscape of language understanding and the challenges ahead in ensuring AI's safety and transparency.

Josh Batson, a research scientist at Anthropic, joins Kevin Frazier to dive into the mechanics of AI. They unpack two key research papers that illuminate how generative AI models function. The conversation touches on AI's 'black box' nature and the pressing need for transparency in its decision-making. Batson humorously contrasts AI's math skills with traditional methods, discusses ethical dilemmas in AI learning, and emphasizes the importance of interpretability for fostering public trust. A fascinating exploration of AI's role in society!