Five bangers from OpenAI's Karan Singhal: 1. Raising the floor and the ceiling of human health: "There's more than 300 million people weekly using ChatGPT for health and wellness types of questions, and we take that as an incredibly important responsibility to get that right." "We're really invested in making sure basically two things. One is that we can raise the floor of human health and give people access to trustworthy, abundant, reliable health intelligence for free or nearly free, and really raise the ceiling as well and make things possible that weren't possible before." 2. Five physicians, eight answers: "It turns out if you ask five physicians any question, you'll get, like, eight different answers. One of the first things that we did when we first started focusing on health at OpenAI was really build this kind of global physician network of hundreds of experts." "[The goal was] to kind of aggregate the wisdom of experts so that we weren't relying, especially in areas where there could be disagreement, on one or two or three physicians to kind of adjudicate." 3. Why health runs on a general model rather than a specialized model: "What we're talking about here is actually specialized training in a general model, which is, I think, actually the best of both worlds." "If you forked and said, 'Hey, we're gonna train a smaller specialized model that is just for healthcare'... what you'd find is that model would fall behind the frontier relatively quickly, because the pace of the frontier and the general model improvements is so fast." 4. Compressing medicine's 5 to 17-year lag: "How long does it take for clinical guidelines to penetrate the practice of everyday doctors across the world? People have found that this takes, depending on the study, 5 to 17 years... You don't wanna be practicing medicine 5 to 17 years behind." "One of the things that we think about is how do you compress that kind of period of practicing down to weeks or days or even hours." 5. Healthcare's legacy software is ripe for agents: "Healthcare is also one of those industries where you shouldn't expect everything to have an MCP connector tomorrow. It is a place where there's legacy software... This is absolutely ripe for agents and computer use."  "This is a place where a lot of the barriers that have traditionally existed between patients and getting the care they need and clinicians and delivering the care they need and healthcare data in general... I think a lot of those will dissolve." @thekaransinghal