From storyflo. This is your daily audio brief. It's Theo. July 19th, tech roundup — five stories, here's number one. Let's get into it. First, from The Decoder. AI chatbots reading X-rays can be dangerously confident even when they're wrong. So I was digging into this benchmark test called RadLE 2.0, and it's specifically designed to see how well AI models do in radiology - basically, how well they can read X-rays and diagnose problems. The thing that caught my attention is that a lot of these AI models are delivering wrong findings, but they're doing it with complete confidence. It's like they're saying, "Yeah, I'm 100% sure this is what's going on," even when they're not even close. What's really interesting is that human radiologists are still way ahead in terms of accuracy, even when they're not 100% confident in their diagnoses. It's like these AI models are overestimating their abilities, and that's a problem. If we're going to rely on AI to make medical diagnoses, we need to mak