{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Risky Science Podcast","title":"Building Trust In AI-Driven Weather and Risk Models With Dr. Hansi Singh","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/42b9beaf\"></iframe>","width":"100%","height":180,"duration":2824,"description":"This week’s guest is Dr. Hansi Singh, an Earth system scientist who’s worked at the U.S. Department of Energy, taught in academia, and now leads a startup called Plannette.AI, which blends physics and AI to deliver long-range weather forecasts for industries including finance and insurance.In this conversation, Dr. Singh explains why AI’s biggest weather-forecasting success have been within the seven-day window—and why pushing beyond that horizon remains so hard. We explore how AI can enhance—not replace—traditional physics-based models.We also get into the practical side: how finance, insurance, and even energy traders are using AI-driven forecasts, what the rise of AI agents means for accessibility, and why transparency and back-testing are critical to overcome the industry’s skepticism toward “black-box” models.","thumbnail_url":"https://img.transistorcdn.com/3X78H4LzkYVdV3_JNhYpCkRuhSbbSSm8qcc9B0n2z2M/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zYzVh/YmVlMjFlNzE1OGUw/NjVhMTBjMDUwZWVk/YWI1NS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}