At this point, for most consumers, the use of Artificial Intelligence is a no-brainer. The ability to produce quick results while minimizing labor has revolutionized workflow in every single sector, with the latest being climatology. AI tools like Claude are running real-time climate model simulations in a matter of minutes instead of days now. But these ambitious abilities do not come without their inherent flaws, as AI systems still produce hallucinations with inaccurate information. This poses the obvious challenge as it relates to the nuanced nature of scientific research and judgment. Today on AirTalk, we are joined by Zeke Hausfather, a climate research lead at Stripe, a financial technology company, and co-author of the Substack newsletter The Climate Brink, to talk about what being an AI-augmented scientist could look like.