Right About Now with Ryan Alford - Adapt or Get Left Behind: The New Rules of AI & Business

Starting point is 00:00:00 If you really want to become a leader in the space, you have to know the tools. You need to understand where we're out today, where they're going, and how to utilize them. Right now, the biggest thing that everyone's talking about is AI and where it's going. It's the best tool that's ever existed. There's so much that's coming from it from building a gentic environment. That's a whole new world of its own and mind of its own. If you're not going to be a builder in AI and be a problem solver in AI, then AI will disintermediate you. This new iteration of language models is it's,

Starting point is 00:00:30 go from sub-average to better than humans at a lot of things, or capable of being better than humans if you know how to work with it. It's not just a big shift in the way in which we do business. What is also the speed of change. Even the PC took about 20 years to reach mass adoption. Chad GPT took 10 months. When you combine the two of them, it just makes it compelling for everybody to get on the band, live as soon as possible. People think too much about AI being only an automation tool, and I think it's so much more. Maybe we'll tap that. We do as well, but we see, even though we say AI coaching and so much more than just coaching. This is Right About Now with Ryan Alford, a Radcast Network production.

Starting point is 00:01:08 We are the number one business show on the planet with over one million downloads a month. Taking the BS out of business for over six years and over 400 episodes. You ready to start snapping next and cash in checks? Well, it starts right about now. Hey, what's up guys? Welcome to Right About Now. We're always talking about how you need to stay ahead of business, tech, AI, anything and everything that's happening in the business and marketing world, we're here to tell you, thank you for making us,

Starting point is 00:01:38 number one. I am Ryan Offord, your host. I have friends that in high places, sometimes that introduce me to friends in higher places and cooler places and all those things. This is one of those instances where it's both a pleasure and insightful for you because we've got Thorne. He is the CEO and founder of Brain One. Talk to me, Thorin.

Starting point is 00:01:57 Why brain? What got you into this longevity space and the brain space? What kind of was the fundamental thing that started you down this path? So I've always been very fascinated by just the idea of biological optimization. I began doing triathlons in my 20s and that went all the way to full iron man's. And what I saw is that when I was wearing a wearable, and so in that sense, we had the big chunky garments back then. But through the use of data, I could ultimately optimize my biology, period. And then, you know, the devices have only gotten better. And right now I'm wearing three. I'm wearing a woup. I'm wearing an aura. I have a garment. But that concept of, again, using data to optimizer biology. And so as I was going down that road, but I saw, you know, relative to

Starting point is 00:02:39 my training and my racing is that I could attenuate my lactic threshold by doing X or Y and ultimately, sort of get faster and stronger in all of these things. And that was through the use of a structured framework or a protocol. And so I think it's important to kind of start there. What is a protocol? A protocol is just your daily routine. at the end of the day. When you get up in the morning, what are the things that you do on a regular basis, period? And if you take a quick step back and you look at all of the protocols that are out there around things like longevity, it kind of comes back to really key areas. It's nutrition, it's exercise, it's stress, and it's sleep fundamentally. And at Brain 1, we fed every protocol

Starting point is 00:03:16 from Huberman to Peter Atia to Brian Johnson to Kayla Barnes, you know, into our AI. And ultimately, it's kind of in those four major categories. And then the protocols are, are comprised of microhabit. What's a micro habit? A micro habit is a small incremental change that ultimately you can measure theoretically, ideally. So what's an example? Cold plunging. Again, being a triathlet, we've been doing red light, cold plunging, I mean, for like decades. And it's cool. Now, like, these are all the rage. It's a great mechanism to help, you know, manage your autonomic nervous system. So cold plunging, though, you look at that as a micro habit as part of a protocol. You're looking at temperature of the water. You're looking at duration in the

Starting point is 00:03:50 water. You're looking at frequency per week and so forth. And so those are all essentially the variables within that micro-habit as part of the protocol that you're optimizing. And so what I saw on the triathlon side is that following this structured framework, you can really optimize your biology. And about two years ago, I was doing some work with a group out of Columbia University focused in the protection of neurological data. And that's actually a very important area for me personally. We were the generation that gave away all of our behavioral data, especially you talk about marketing. And I remember back in the day when the Facebook API, you could download everything. Same with Twitter. You could literally have a fire hose around the data. Now it's a

Starting point is 00:04:24 Waldgarten, of course, all the stuff quite well. But, you know, that said, that concept, we gave away all of our behavioral data under the guys that were connecting with our friends from junior high and high school. But really, what we were doing were training models for these large technology companies. And so we're also on the cusp for neurological data. And so I was doing some work with this group called the Neuroror Rights Foundation and focusing on the protection of neurological data. And what does that mean on a state, federal, international level? And what I saw was that there was just such a lack of resources around brain, a lack of resources for education and ultimately lack of resources for protocols. And so that was kind of the

Starting point is 00:04:58 initial impetus. And so we went down the road of focusing on brain and building essentially the Noom for neuroscience is how we would frame it. What does that mean? If you're familiar with NUM, so this is a behavioral weight loss, essentially platform using CBT, so cognitive behavioral therapies. And they've been incredibly successful because what they do is they focus again on that concept of Q rewards and micro habits optimizing your behaviors as a opposed to just calorie counting. And it's interesting because Noom is now valued at $4 billion, whereas like two weeks ago, Weight Watchers just filed for bankruptcy. Why? Well, Weight Watchers is following, you know, these older methodologies, your calorie counting, you got the colors.

Starting point is 00:05:35 And honestly, it's just obviously mismanaged as well, but it's just an outdated mechanism and something like Noom for neuroscience. That's really where we have been focused. And it's the idea of, again, these small incremental changes that ultimately impact the whole human with ultimately essentially habits that they can learn and integrate and it's not like a fad. So that's really what we've been focused on relative to that kind of approach, ultimately to brain, which has never been done.

Right About Now with Ryan Alford - Adapt or Get Left Behind: The New Rules of AI & Business

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