This is a podcast episode titled "How AI SOLVED What Doctors Couldn’t" recorded in June 2025, featuring Jim Carter III as the host. In this episode, Jim shares a detailed story about how AI combined with genomic data helped tech entrepreneur Kevin Rose address a chronic health issue that traditional medicine could not solve. The discussion highlights the potential of AI-driven personalized healthcare and invites listeners to join a community focused on AI innovation.
Hey there. Welcome back to the Prompt. I'm your host Jim Carter, and today I want to share a story with you that blends cutting edge AI with personal health in a way that could totally reshape how we think about medicine. Kevin Rose, the tech entrepreneur you might know from launching dig, had been dealing with chronically high homocysteine levels for years now. If you're not familiar, homocysteine is a blood marker that when elevated, is linked to a higher risk of heart disease and stroke. It one of those things that shows up on blood tests as a warning sign. And ideally, you want to keep it in check. Kevin tried everything the doctors recommended. Supplements, diet tweaks, standard treatment protocols. And nothing worked. He kept hearing the same thing. Your numbers are still too high. So after years of frustration, he did something wild. He fed his entire genome into an AI system. And that's where things got interesting. The AI scanned his DNA, was ran it against medical research databases and zeroed in on a common genetic mutation, mthfr. Now, this mutation affects your ability to process folic acid, which is critical in regulating homocysteine levels. For people with the MTHFR mutation, it means your body struggles to convert folic acid into the active form it actually needs. So those standard B vitamin supplements Kevin had been taking, basically useless for him. After considering other factors like lifestyle, toxin exposure and nutrient interaction, the AI recommended a methylated B vitamins. These are the activated versions that bypass the genetic roadblock. And just like that, with the right form of nutrients, his homocysteine levels finally dropped. Years of trial and error solved in just a few months with a personalized AI driven protocol. Now this isn't just a cool tech story. It's a signal that we're entering a new era in healthcare. One where treatment is personalized, proactive and precise. Kevin's case is a perfect example of what's possible when you combine genomic data with AI's pattern recognition power. Doctors are amazing, but they're human. They don't always have time to cross reference your genome with thousands of studies, especially when symptoms don't point to a clear diagnosis. AI, on the other hand, can do that in seconds. And here's the kicker. This kind of genomic analysis is no longer just for tech founders or billionaires. Back in 2001, sequencing your genome would have cost you around $100 million. Today, it's under a thousand bucks. That's cheaper than the latest iPhone. And that shift means the tools Kevin used are starting to become available to everyday people. Think about what that unlocks Autoimmune disorders, chronic fatigue, hormonal imbalances, fertility struggles, conditions that often stump even the best specialists could one day be unraveled with AI that sees connections we just can't. Not because the science is new, but because the analysis finally caught up. It also reframes what we call biohacking. This isn't about fringe experiments or expensive treatments. It's about using the tools available to understand your body better. And sometimes the fix is as simple as switching to the right form of a vitamin. Of course we're talking about DNA here, which is incredibly personal data. We have to be thoughtful about how that data is stored, who can access it, and how algorithms are trained to avoid bias. But if we can do it right, the upside is massive. Instead of reacting to symptoms after they appear, we can start preventing illness before it begins. Instead of generic recommendations, we get specific protocols tailored to our biology. And instead of relying solely on overburdened healthcare systems, we get tools that put us in the driver's seat. As Kevin told Tim Ferriss, if we don't use AI to help us live longer, healthier lives, then what are we even doing with it? Pretty hard to argue with that. If you're into this kind of thing, I want to invite you to join my private Slack community Control Alt Build. It's a space for leaders who want to explore what's next with AI by actually doing building things, testing ideas, seeing what sticks. It's a place to learn in real time, together with a whole community of curious minds to support you. Now's the time to jump in before doors close. I'll drop the link in the show notes. Alright, that's it for today. Thanks for listening. And as always, let's keep exploring one prompt at a time. I'll see you in the next episode.
