SPEAKER_02 0:05

Here's something that nobody's really talking about yet. I mean it has started, but it's not that common. AI burnout. Not burnout from AI taking your job, but burnout from using AI. From the pressure to keep up with it. Learn it. Integrate it. Optimize it. All while still doing everything you were already doing before it arrived. I mean, listeners, we were told that AI would give us more time. And for a lot of people, it has actually created a new layer of mental load. More tools, more decisions about which tools, more anxiety about whether you are using it right or you're falling behind if you're not. So today we are going to flip that conversation. Because my guest believes AI, when it is approached the right way, shouldn't add to your cognitive burden. It should quietly f lift some of it off you. And that's a very, very different relationship with technology that most of us have been taught to have. And I think that's one worth exploring. So let's get started. Yes, welcome back, dear listeners to Healthy Mind, Healthy Life. Hi, I am Sana. And yes, this is the space where we explore what it really means to take care of your mind, not as a project, not as a performance, but as something you tend to gently every single day. And introducing my guest, so he's an MIT engineer, former finance executive institutions like Bridgewater and Citadel, founder of over 12 companies and nonprofits, and also he's the author of H Less Peak Performance, the playbook for AI Power Excellence. Now, listeners, Ted has spent his career at this intersection of high performance and human judgment. And what he has discovered is that AI isn't here to replace the wisdom we accumulate with experience. It is here to protect it. So today we are going to talk about the cognitive overload, what it is, why it matters more as we age, and how AI can actually help us stay mentally sharp longer. Not by thinking for us, but by thinking with us. So let's welcome Ted Yang. Ted, welcome to the show and I'm really glad you're here.

SPEAKER_00 2:39

Great. Thank you. Thank you for having me, Sana.

SPEAKER_02 2:42

Okay. Ted, before we get into all the big ideas and you know the deep dive, uh, I I'll I'll, you know, kind of I would love to start somewhere personal. Um was there a moment, you know, maybe in your own life or in watching someone close to you where you first noticed um what cognitive overload actually feels like from the inside?

SPEAKER_00 3:07

Sure. So the thing about AI, as you said in the introduction, is that it lets you do so much more. And I think a lot of people have interpreted that to mean that not only should I do much more, I should do much more of everything. Right. So doing things faster has been interpreted as let's just get everything we can done. And I think that's a big mistake. And um, even if you don't have AI, you could imagine yourself having a team full of people. If you did absolutely everything, every single idea that came to your mind, they would drive yourself crazy, right? And the same is true for AI. So I, you know, I I noticed this myself, although I think to a lesser extent, but certainly some of my friends are coming to me going, where the hell, Ted? Like you know about this AI stuff. Like, this is supposed to make my life easier. It's making my life harder. What is going on? Yeah. And I yeah, and I and I think the the confusing part again is that more isn't always better. I know we, you know, especially, you know, American society, but throughout the world, we are taught that more is better, right? And the problem here is that when you do more without really thinking about what you're doing, and again, especially with AI, what that means is you're just now having to oversee AI and it's not perfect, and doing so many different things now that again, people start to overload cognitively.

SPEAKER_02 4:38

And I'm very sure our listeners are definitely going to have this question what exactly does it, you know, does it mean that cognitive overload? But uh before that, Ted, um there's a phrase I hear a lot. Uh, and I've I've heard it over the years at my in my experience, you know, in in the workplaces, you know, coming from the HR or coming from many of my ex-colleagues, that you just disconnect, you take a break, you slow down. You know, it's the solution to mental fatigue. And I I wonder if that is missing something. So, Ted, I would love to understand from you what what are we, you know, most of us we are misunderstanding about cognitive overload because I don't think it's simply about doing too much.

SPEAKER_00 5:27

Right. So I think the the key here, right? And again, there are many different definitions of this, but the definition that I like is really that it is too much for you to keep track of. Okay. And keep track of meaning doing things at a at a at a good quality level, right? And so it's the the part that I think people forget is when you're using AI to do more and to help you be more powerful, it needs your judgment and oversight. And again, this is no different than oversight over a team, right? If you're a leader of a team. And this is the same reason why you don't just see one boss with a hundred employees reporting to them. They'd go crazy, right? You the the even if you had 99 people that were really, really good, that one person, right, that one time you didn't pay attention and something went wrong, it would tip you over, right? It's that's the same concept here of overload. That when you're having AI do a lot of different things, you can still only manage a certain amount of quality work in your head, even if you're not executing it, right? And here I mean making sure that the instructions are being followed, making sure that the thing is completed in the way that you want it to be. The quality is there, right? All those different aspects that happen when you have someone else or AI do your work. And when there's too much of that happening, that overloads your brain, because your brain only has a certain amount of capacity in terms of managing both yourself and others.

SPEAKER_01 7:08

Absolutely. Absolutely.

SPEAKER_02 7:11

And and that is where I started the the you know opening with with this phrase AI burnout, which um credit to uh one episode I did on Bisplend, you know, I got to uh know this phrase as well. Now we are talking about AI burnout, and now there's definitely and because this exact fatigue I have been through and a few of my uh friends, maybe we weren't able to name it as a burnout, but still, you know, it was it could be classified as a fatigue itself. And um I think uh you know it's it's the reframe is really, really important because if we are treating the wrong thing, all the rest days in the world, it won't fix it, you know. All the planned forests or the vacations or the time offs, they're not going to solve that. Okay. And um I think a lot of listeners will definitely know they're they're they're nodding their head right now. I mean, we deep down they are saying, yes, that is exactly yes. So let's let's let's go a little deeper, Ted. Uh, you work with experienced professionals, and these are the people who have spent decades building real expertise and judgment. Um and so I'm I'm really curious, like, is cognitive overload different for someone in that stage of life than it is, you know, for say um a 25-year-old, maybe you know, they're just starting into their career, it's an early stage entrepreneur, a founder, or you know, early stage professional. Like, what patterns you are seeing that tend to go unspoken?

SPEAKER_00 8:54

Yes. So cognitive overload or AI burnout, uh, as you say, are kind of different, different ways to talk about the same thing. And actually, yes, Sana, there is a difference. And that is biological. So as we age, we develop certain skills, we develop certain capabilities. And specifically here, we're talking about the ability to recognize patterns. And this is actually what helps us become better leaders and better managers as we get older. That's not to say young people can't lead, but a lot of times younger people don't have that experience. And of course, they're also tend to be um, you know, very, very consumed in the doing of things, right? Um, and the natural progression of people's careers have caused you, as you get older, you hopefully are becoming more experienced and you're become gaining more seniority in your roles, your companies, or your starting companies, or what have you. And then as that happens, you're making more use of this ability to see what has already happened again, to recognize that pattern, and then therefore manage it. So again, if you have uh, you know, a whole bunch of people reporting to you and you see one of these employees making the same mistakes that you have seen someone else do before, you know it's gonna go wrong probably before they do, right? And then you can jump in there and intervene and say, listen, hold on, maybe you need to think of a different approach because I can see that this isn't going somewhere. And that person may be like, hey, boss, you're crazy. But that's actually an ability you have developed over time, right? And so as you get older, you're actually able to manage broader and think more strategically and think things, think things through that require more judgment. So actually, you're less apt to suffer from this kind of AI um overload burnout problem because you are more capable of doing that. Doesn't mean you know how, but you're capable of doing it. And again, this is part of the reason I wrote this book is because again, you need information, you need a playbook, you need instructions on how to translate this capability that happens when you get older into actual ability to use AI.

SPEAKER_02 11:01

That's interesting. That is interesting. And is there a risk, Ted, that uh people misread those signals? Maybe, you know, for example, interpreting that mentally fatigue as as you know, decline. Like I'm I'm fleeing tired using so much of air right now. It's probably because you know I'm aging. So yeah. So when actually something else is going on.

SPEAKER_00 11:26

Yeah, I think look, I it's hard for me to say, it depends on the case, but I think that's part of it, right? I think there's always a certain factor that happens when you look at things that are new, when you look at things that are just kind of overwhelming. And AI has that ability both to delight you, so overwhelm you in a nice and good way, and then also overwhelm you in a bad way, right? And that is something that I think we've all experienced. So in when those kinds of events happen, when it just feels like, hey, man, I'm writing a paper with AI, and then I'm also uh reading a whole bunch of uh different uh websites, trying to stay current with AI, and then at the same time, you know, I'll have to use a tool to go uh, you know, write some uh sorry, make some images for something else and and you know, et cetera, et cetera. And then forget about if you're technical and you start to use AI for coding, because that's where we're seeing almost a complete transformation of that job, right? But either way, you're you're starting to use AI in all these different ways that are unknown to you, right? And that so that that unknown can add to this. And then you start to have these kind of signals of being tired or feeling overwhelmed and feeling, you know, burned out or what have you. And uh yeah, it could be confusing of some uh short-term things with longer-term things. But I think either way, you know, those signals are real, right? And they indicate to you, to me, um, but to you, they should, that you need to to to reshape how you use AI, right? What is your relationship with how you use AI? Because there could be something inherent in that that is causing it to take more out of you than it should.

SPEAKER_02 13:03

I agree. I mean what we label as uh slowing down might actually be the cost of carrying too much. You know, it's not a probably a loss of capacity. Uh and I think meaning it it clearly, clearly changes how we react or respond to it. Uh Ted, uh for the listeners, let me tell you listeners. So earlier I recorded uh, you know, we recorded another episode on a different podcast, Biz Blend. Ted you mentioned about uh in your book you have put a framework which can actually be a good starting point in order to understand, you know, um how we can actually uh you know frame it in a different way, like how we can actually redefine our relationship with these tools in a way that serves our mind, not the other way around. So if you can shed some light on that for our listeners.

SPEAKER_00 14:02

Sure, sure. Happy to go a little bit deeper into it. So the the book again grew out of my own experiences, right? And my own understanding. So yeah, I I am an MT engineer, an entrepreneur, I'm a speaker, I'm a writer. I've done a lot of things where I've had to analyze and look at what has changed and figure out how to fix it, right? In fact, I'd like doing that. And this is something where uh, you know, AI is technology. I love technology, I love what it does for us, but it's also a tool. And tools need guidance, right? You you you you know, you can pick up a tool and do something with it, but to really use it well, you really do need help and training and understanding. And that's what caused the seeds of like, let's, let's, let's provide a resource for people to go down this journey so that they can use this. And actually, I haven't mentioned the name of my book yet. It's ageless peak performance. And the reason is that you can perform at your best agelessly, though I I imagine basically eternally, if you continue to use AI to make up for the parts of you that are slowing down, and then use it to continue to augment the parts that are very important, specifically judgment. Now, uh, in to do that, I've laid the book out across different parts. And uh the important parts are four principles for how you use AI, and then five superpowers that derive out of those principles. And the the these principles are things such as thy first principle, which is treat AI like an intern and not an oracle. And the idea there, I think, is pretty self-evident, but you really should not trust AI to come up with the all-knowing correct answer. And I do know that most people, when they first use AI, they use it like Google. That's what they're used to, right? You ask it a question, they take an answer. But if you treat it like an oracle, if you treat it like it's a wisdom from on top of the mountain, you're going to go very, very wrong. And I'm sure many listeners have been burned by this, right? And this is exactly how you lose your ballots, right? Because you're if you spend so much time trying to fix the answers that you're coming back from Oracle because you sorry, from AI, because you're treating it like an Oracle, okay, that is going to just be completely counterproductive. So instead, if your relationship is to treat it more as a very smart but very helpful, but also can make very, very bad mistakes that it does not admit, right? That way of working together with AI. And again, I mean generative AI here or large language models, is a much more healthy, sane way to work with AI. So you're not just getting better answers, you're also conserving your ability to manage it.

SPEAKER_02 16:43

It is like a high achiever intern who probably could be a people pleaser, but they may not have the wisdom that you have gained through your lived experiences.

SPEAKER_00 16:53

Exactly. Exactly, right. And I I think, you know, people, this is one of those things that if you if you haven't heard something like this before, now that you hear it, you're going to remember it, right? Because it it does now seem to be to me, it's like, yes, that it does explain how it acts.

SPEAKER_01 17:08

Yeah. That's right. That's right. And then the second one. Good.

SPEAKER_00 17:14

Sure. So so there are there are four. So let uh the second one um is aim first, then accelerate. And the point of this is that if you are using AI, it can go very, very fast. But if you don't aim it at the right thing, well, that's a big problem, right? So imagine you are have a spaceship and you have a really you know big, powerful engine, but your guidance system isn't very good, well, then you're gonna go, you know, you're gonna get hopelessly lost or you're gonna fly into the sun or do something very bad, right? You you need to have an ability to guide where AI is going. So the idea behind this is if you go, if you want to just jump to the answer. And again, I understand it's very seductive to want to jump to the answer because AI itself tries to encourage you to jump to the answers, right? But if instead you walk it through the answer, and this is especially true before you use it to automate any parts of your life, which ultimately I think you should do because that does make things very uh uh easier, but not very easy, but easier for you, um, as I lay out in the book. But before you even think about automating something, before you even think about having it work on very big important things, get used to how to aim AI and make sure it's working properly for you, right? So aim first and then accelerate.

SPEAKER_02 18:33

Right. I think many of our listeners will relate to this, you know, especially how enticing it can be when you are using your claw, you are using, you know, it it shifts to the higher model, and then lo and behold, you see all your tokens are finished. And go back.

SPEAKER_00 18:49

Right and that, and and Sana, that's another another point, right? Which is we haven't even talked about the cost, like the literal cost aspect of it. But of course, that's that's the other side of this, right? It's just the hey, this is great. Like, watch just wipe my entire paper for me, and then you're like, oh no, this is totally wrong. And now I've used all my tokens.

SPEAKER_02 19:08

Oh, and let's let's move on to the third one, Ted.

SPEAKER_00 19:13

Sure. So uh the third one is make AI flow. So the idea here is the the what they call flow state. So I didn't invent this. This is uh something that was invented um uh by uh a professor a while ago. And uh the concept of when you are in a flow state, you're not really thinking about what you're doing. You're not thinking specifically in this case about AI prompts or whatever, it's it feels effortless. It feels like you're just getting things done and it's being very effective. And so this this is more of a goal statement, and this is probably the one that aligns a lot to the listeners of this podcast, right? Because this is the healthiest way that you should be using it, right? Because any other way that doesn't feel natural, that doesn't feel like a flow of using AI, requires energy, right? And when you need to put your energy into managing AI, again, there's only a limited amount of that, right? Before you get overloaded, right? So in order to really understand where your limitations are, you should try to make the AI that you use, the way you use AI to feel effortless, right, as a goal.

SPEAKER_02 20:27

Mm-hmm. Um, can I give an example, maybe, you know?

SPEAKER_00 20:32

Yeah, so actually the best examples here to have nothing to do with AI. They're everything to do with professional athletics or sport music, right? And so you don't actually have to be a professional athlete, but if you're out there and you know, you're you're you're uh you know you're on the soccer pitch or you're out there and you're you're playing guitar or whatever, right? When you're really there, when you're really in it, right, you're not really focused on moving your fingers or running or kicking the ball, right? You're just acting, right? You're you're getting it done. That is that is the feel that you want to have when you're using AI. And this is again the feel that a professional athlete, professional musician, like they're never thinking about the details of this, right? They're they're thinking about much more high order things, right? Because they're able to do that, because their their body and their mind are so completely aligned to what they're doing, right? So that that is what you're reaching for. And so uh when you're doing this in an AI sense, again, if if it feels heavy, if it feels like a lot of work, again, that's a signal, as we talked about earlier, right? That maybe something isn't quite right. Maybe, you know, again, it could be aging, it could be, it could be uh a a negative uh a symptom of how you're using AI as a sign that something needs to change.

SPEAKER_01 21:48

Absolutely. Absolutely.

SPEAKER_02 21:51

And it's it's it's like it's it's in sync. Your your body, your mind, the tool, it's in sync.

SPEAKER_01 21:57

It shouldn't help you overload.

SPEAKER_00 22:00

Exactly. And again, I I think people listening to this will are already on that wavelength. But honestly, it I think this applies in all different spheres, right? I the the one thing that I think all of us have learned, having been through the pandemic, is that what is really important and what may not be as important, right? And so keeping yourself in the game is important because you need to stay there, right? This isn't just about getting your job done for today. It's the next day and the next day and the next day, right? You have to continually show up.

SPEAKER_01 22:30

Absolutely. Absolutely. And yes, the final, the fourth one, dead.

SPEAKER_00 22:34

The fourth one is keep your judgment at the center. So um I've said, and I say this on any podcast or whenever I'm on a stage, is that judgment is the most important skill in the AI era. So we talked a little bit earlier about how your pattern recognition and your judgment improve as you get older. And this is good news, right? Because as you get older, most things don't improve, right? Uh and the key here is your judgment is the point, right? AI cannot do things, maybe it will at some point in time, but it cannot do things like truly create and decide and judge. That's for humans to do, right? And that means you should view AI as a tool that you can work with in a hybrid fashion, that you can get a lot done together and perform at your peak together with AI. But that only works as long as you're guiding it as opposed to it guiding you, right? Again, so much of what we see of these tools, right, in the way in which they um uh work with you, in the way in which they're marketed, is to try to take your judgment out of the equation, right? But I I think that's a big mistake. And I think that it's not because it's not just about saving time, it's about working in a good, healthy fashion with AI. And again, it's about the goal of making yourself more powerful, right? Now, if if there's a goal of of getting rid of people and replacing them with robots, that's a totally different goal. The goal here is how you can perform at your best with AI, and that requires you.

SPEAKER_02 24:15

Absolutely, absolutely, absolutely, and I think it it it feels like um wisdom that applies far beyond AI. It's really about that intention.

SPEAKER_00 24:28

Absolutely, and and that's I think good news, right? Which is that AI, I think a lot of these things to people who are more versed in, let's say, um, oriental medicine and ways of thinking may understand these things better, right? Um, than their Western equivalents, okay? Because I think that these things are not new, right? AI is a tool, it's the next evolution, it's incredibly powerful, it's pretty awesome, but it's a tool. And how to center yourself and keep yourself centered has been part of many of these practices and religions that we have seen for quite a long time. They've dealt with this concept before.

SPEAKER_01 25:10

Right.

SPEAKER_02 25:11

Yeah. And many people they they equate the future of you know how AI is going to you know look like in the in the in the future, in the picture when it comes to humanity, is something you know sometimes is equivalent to what we see in the science fiction uh movies or or the novels out there. Um some of it may bear some resemblance, you know. Right now, I think you know, we are not divided of surprises. Every day is a huge surprise for everyone. Um but how do you how do you see the future in that especially when it comes to mental health? Um where do you see AI uh in in that picture? Because right now, even you know, people who have been in uh the system in this, in this, you know, the creation, the industry, they themselves they don't have much of a positive outlook towards it. They know the dangers, you know, they know something which we as consumers may not have even an eye out of an idea.

SPEAKER_00 26:24

So yeah. So so I think a couple things. So one is I think AI can certainly help you balance your life. In fact, that is, you know, one of my superpowers is is getting to that point of AI can help you balance your life because it can keep a lot of different ideas at the same time, which is difficult for you to do in your head, right? And there's, you know, we're always making trade-offs, right? We're making trade-offs between our families, our work, our, you know, eating healthy, getting enough exercise, all those kinds of things. And AI can help you do that. Um, but you know, AI, uh, you know, uh getting to that next level, you were talking about that some of the warnings, if you will, of AI being used as a therapist or worse as a psychologist, right? Um, that the these these kinds of uh uh much more um deep interactions, this is actually uh the appendix of the book, um, because to me it's a it's a bit of a different tone than the rest of the book, but it's something I do go into. And and my conclusion is roughly uh what you would expect. And I think what you've already said, that that experts have said, which is it's not ready yet. And and the reason I think is pretty obvious, right? Which is uh let's just take psychoanalysis. You know, uh Freud, you know, obstensibly came up with psychoanalysis, certainly wrote about it. And it took decades for that to become an accepted medical practice, right? And and and and in the process, it required, you know, uh uh uh not not just norms, but regulation, right? And and all sorts of of protection of how to do that. Of course, nowadays, not any, you can't just say I'm a therapist, you'll go to prison, right? You have to be trained, you have to um uh go to school, you have to have practical work experience, uh, you know, under the guidance of a of an experienced practitioner, right? Um, because it's dangerous. And so I think the same thing can happen here with AI. It's in a similar fashion. AI can be very smart, it has certainly can draw upon all of the knowledge that's out there, um, but it makes a lot of mistakes. And so if if uh you kind of just jump whole hog, and again, we've seen some very unfortunate things happen to people. There's some very, very horrific headlines of people who have not followed this advice and have gone on to just ask AI what to do, and it tells you horrible things, right? And so this should not surprise anyone. Again, it took decades for actual psychoanalysis to be made into the modern practice that it is today, right? And so why would we, yes, fine, things are faster, we know more, technology is better, blah, blah, blah, blah, blah. But it's still going to take time. And that time has not really been put into it. So I certainly caution people from using AI in the place of trained professionals, right? That's that's the opposite of putting your judgment in the center.

SPEAKER_02 29:06

No doubt in there, no doubt in there. Yeah. And I I think it's it would be interesting, really interesting to see how the uh next few months and the years you know look like. Because um if you look back at the centuries, the decades, the industrial revolution, the computers, the internet, um, the automation, SaaS, now AI. Um, I think the rapid developments exponentially, they are happening at an exponential rate. But at the same time, I think um there are voices out there, you know, who are advocating for a caution here for a more mindful approach towards this. Because not only it has environmental implications or uh, you know, maybe a more of an extrapolated or a more of a far-fetched, you know, um, kind of forcing how it can eliminate the humanity. And I'm I'm not, you know, I I hope that doesn't sound morbid, but you know, just kind of putting my perspective in there, but also in uh, you know, what all dangers it possesses possesses and how we can be aware so that, you know, we can once again have a clarity in our judgment on how to use it.

SPEAKER_00 30:29

Absolutely. And and again, that's what I'm tempting to do with the book, provide uh a playbook, a guidebook to help people along in a way to use it responsibly and powerfully at the same time, right? Because I think it's it isn't always obvious. And again, this is something where, you know, I've gone there before and hopefully people can follow, you know, based upon my experience, you know, to to to uh navigate this cleanly and better. I think that certainly with the rapid pace of innovation um in this space, you know, things are changing so quickly. Um, you know, hopefully a lot of this does um, you know, become better. But uh, and I think I'm sure it will. But uh the problem is it's not going to become better simply on its own, right? Because a lot, you know, the the hype, you know, all of the marketing you hear is all the opposite, right? It's all the opposite. It's all about replacing people and laying people off and powerful this and it can take the place of that and all that. And we, you know, I think this we saw the same thing happen with social media, right? Social media was viewed as this is great, let's do more. And I think we all now know, and especially you see in some of the laws protecting uh young people in, say, Australia countries, um, that that's not true, right? This is this isn't just good, right? There's the this isn't just free speech. This isn't just, you know, people expressing themselves. There's some real major, major downsides here. And if we were a little bit more cautious, and I mean we as a society, a little bit more cautious, right, about how we let these things grow and take over our lives, it would have resulted, I think, in a lot of less tragedy and a lot less pain for people, right? And I think the same thing is happening here. Using AI in a way that's humane, that's going to let you do better is the purpose of my book, right? That is what ageless peak performance is. It's about getting you do better, right? But um I, you know, I feel sometimes that I'm a little bit alone in that message, right? Um, because again, you know, a lot of people with my background are on the other side of the fence, right? They're just talking about more, more, more, more, more, do things faster, do things faster, let's go. Because I, you know, I'm just I'm just ready to create, you know, super intelligent AGI and that's going to save everything, right? I I don't know. I I I to me, this doesn't make much sense. We we humans have to find a place for ourselves, no matter how this all works. And it you losing sight of your humanity so that it benefits humanity just just seems absurd.

SPEAKER_01 32:55

Absolutely.

SPEAKER_02 32:56

Absolutely. And and you know, also I think uh I think it was predominantly, I mean, more um I think last year everybody was talking about this AI bubble, it's just a boom, you know, it may look like um something the 2000, yeah, the dot-com boom, uh, or you know, the 2008 economic crash. And um, considering the kind of situation we are right now, it's all going to either dramatically come down or it may look like a gradual uh decline. And uh I think irrespective of you know how it may look like, I think let's not give away our power to systems or you know, the algorithms or uh, you know, the agencies dictating, you know, how we lead ourselves and how we lead our lives.

SPEAKER_00 33:52

Exactly. Exactly.

SPEAKER_02 33:55

Uh Ted, I know we are short on time, but I would still I I would love if you can share the superpowers with our listeners. And of course, you know, I have to ask you if they would like to get a hold of your uh upcoming book, uh pre-orders they would like to connect here.

SPEAKER_00 34:10

Yes, of course. So let me let me just list them and then uh I think uh unlike the the principles, I think you do need to you need to get the book to learn more about them because it's really about and the principles too are really about how you use them, not necessarily just what they are. But uh the superpowers are 10x execution, um, strategic clarity, orchestrated life, enhanced connection, and learn anything. So those are the five. And uh you can find out more in the book itself. It's agelesspeakperformance.com is the site, and uh it's ageless peak performance, one word. And you could also find out uh more, which I get in contact with me on LinkedIn or on Instagram. I'm Ted Sensei on LinkedIn and Ted X Sensei on Instagram.

SPEAKER_02 34:57

Amazing listeners, yes. I'll have all the links and details mentioned in the episode description. So yeah, do find them at Rash along with this episode. And uh Ted, um any anything that you would like to, you know, especially for someone who's listening right now, you know, maybe they have been feeling like their mind just isn't what it used to be. Um, not dramatically, but it's kind of, you know, enough to notice. Like what would you want them to hear?

SPEAKER_00 35:28

Yeah, I I I want them to think about the hope that actually AI brings. And I know that may be a little bit weird because you're used to the opposite, right? That it's it's there's a fear factor there, both just taking jobs and changing things, but also, you know, just the fear of the unknown. But I honestly think there's reason to hope. I think that it is a powerful tool for making yourself perform at your best for longer and takes advantage of the fact that as you get older, your experience and judgment improves. Because again, judgment is the skill that is going to be the most important thing in the age of AI. And so I think if you've only started to work with AI, if you're feeling frustrated or burned out or a cognitive overload, or if you haven't even done it yet, uh, you know, I I hope this is some encouragement to take a take a closer look. Obviously, take a closer look at my book as a playbook for doing that. But either way, it think about it, because this is it's here, right? And it's it's coming and it is going to change the world, is already doing it, and you're going to see so much evolve in the next few years. And you need to be a part of that. And I think that if you do it right, you're doing it in a way that's it can be healthy.

SPEAKER_02 36:42

That's really, really useful, Ted. I also believe that our experiences, I mean, you know, irrespective of of um our biological age, it it's a natural intelligence, you know, it's it's our gift. And enhancing it, honing it, or you know, I think call it whatever you want. It's uh it is something that may not help us to have answers to all the questions and solutions to everything, but it will uh uh enable us to ask better questions, you know, have the curiosity, natural curiosity.

SPEAKER_00 37:16

Uh yes, exactly.

SPEAKER_02 37:19

Amazing. Thank you so much, Ted. Generally, um, I think this conversation would definitely left leave many of the listeners, you know, thinking about all the ways we quietly ask too much of ourselves without ever realizing it. So thank you so much. I really appreciate what the work you are doing.

SPEAKER_00 37:35

Great, thank you, Sana. It's a pleasure to be on Healthy Mind, Healthy Life.

SPEAKER_02 37:39

And yes, listeners, if something in today's episode landed for you, uh write it down, journal it. Uh not on your phone, but I would suggest maybe take a pen and a paper somewhere slower. And if this conversation helped someone you know, do share it with them. That's how this community grows. That's how the word gets out, and that's how the awareness spreads. Until next time, I'm Sana. Take care of your mind. It's the only one that you have got, and I'll see you in the next episode. Thank you so much.