{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/60baafd7d3cdd0001b29d9ee/683716702780b226c7ab8dcc?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Lawfare Daily: Josh Batson on Understanding How and Why AI Works","description":"<p>Josh Batson, a research scientist at Anthropic, joins Kevin Frazier, AI Innovation and Law Fellow at the Texas Law and Senior Editor at <em>Lawfare</em>, to break down two research papers—“<a href=\"https://www.anthropic.com/research/mapping-mind-language-model\" rel=\"noopener noreferrer\" target=\"_blank\">Mapping the Mind of a Large Language Model</a>” and “<a href=\"http://anthropic.com/research/tracing-thoughts-language-model\" rel=\"noopener noreferrer\" target=\"_blank\">Tracing the thoughts of a large language model</a>”—that uncovered some important insights about how advanced generative AI models work. The two discuss those findings as well as the broader significance of interpretability and explainability research.</p>","author_name":"The Lawfare Institute"}