Latest / Motion and Success / Stop Hiring! Use These. (Top 2026 AI Tools to Automate Your Whole Business) Ft. Darian Nwankwo

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Stop Hiring! Use These. (Top 2026 AI Tools to Automate Your Whole Business) Ft. Darian Nwankwo · Motion and Success

• 0:00
  [SPEAKER_03]: It's going to be a future billionaire who literally just by himself.
• 0:05
  [SPEAKER_03]: No employee.
• 0:05
  [SPEAKER_03]: I think it's extremely feasible.
• 0:08
  [SPEAKER_02]: I'm Darian.
• 0:09
  [SPEAKER_02]: I'm a PhD candidate in computer science at Cornell University.
• 0:12
  [SPEAKER_02]: In my background is in computer science, mathematics, and artificial intelligence, and I've been contemplating artificial intelligence since 2015.
• 0:20
  [SPEAKER_02]: That right there is crazy bro and you know a nowadays everybody's AI expert if you've never used AI You're at zero percent any AI you use is gonna look like magic you're gonna get benefit from it some people They tell chat everything absolutely companies be like your date is protect.
• 0:38
  [SPEAKER_02]: I don't care what y'all say
• 0:39
  [SPEAKER_02]: we can look at that data, and even if it's encrypted, we have some insight into that data, but I always tell people that AI isn't here to replace you, it was here to recruit you.
• 0:48
  [SPEAKER_02]: I said it was going to take us 10 minutes to build the website.
• 0:51
  [SPEAKER_02]: It got done in six and we used the last four minutes to just play our way out.
• 0:55
  [SPEAKER_02]: But previously, they can get you a website in three to four weeks.
• 0:59
  [SPEAKER_02]: Right.
• 0:59
  [SPEAKER_02]: Now with AI, AI blurs those lines.
• 1:01
  [SPEAKER_04]: If you're looking to learn how to use AI to grow your business, if you're looking at use AI growing your income and all that good stuff in the next coming years, this is the podcast that you want to tune into because today we get the chance to interview a gentleman by the name of Daryan where he is literally in the fields and he's been new about this AI game.
• 1:21
  [SPEAKER_04]: For the past decade, so I want to pick this man's brain because wishing for AI to happen and just finally in reality.
• 1:29
  [SPEAKER_03]: What's going on, family, it's Iowa and Cody, and today's episode is sponsored by mailbox millionaire Academy, the number one credit and business buying mentorship in the country.
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• 3:44
  [SPEAKER_04]: Let's get back to this episode because this one is going to be a
• 3:47
  [SPEAKER_04]: All right, y'all, so welcome back to another episode of Motion in Success.
• 3:50
  [SPEAKER_04]: Listen, guys, my name is Cody Brown, and I got my co-host me today.
• 3:53
  [SPEAKER_03]: It's Io and bro, we back with another episode.
• 3:57
  [SPEAKER_03]: Yo, it's kind of crazy.
• 3:59
  [SPEAKER_03]: Yeah, we took, we took like a little break, you know, but we're back.
• 4:03
  [SPEAKER_03]: with amazing content, great quality guests, and today's gonna be a little different.
• 4:08
  [SPEAKER_04]: I agree.
• 4:09
  [SPEAKER_04]: So listen, today's one we wanted those ones where we're gonna be discussing exactly how to start using artificial intelligence.
• 4:16
  [SPEAKER_04]: Yes, like artificial intelligence is something has been around for,
• 4:21
  [SPEAKER_04]: you know, a few years, but honestly and truly is developing very, very fast and it's it's it's it's it's important to actually know how these things are built.
• 4:31
  [SPEAKER_04]: So like if you're looking to learn how to use AI to grow your business.
• 4:35
  [SPEAKER_04]: If you're looking to use AI, you know, as far as like growing your income and all that good stuff in the next coming years, this is the podcast that you want to tune into because today we get the chance to interview a gentleman
• 4:49
  [SPEAKER_04]: where he is literally in the fills and he's been new about this AI game for the past decade.
• 4:54
  [SPEAKER_04]: So I want to pick this man's brain because he says he's been, you know, wishing for AI to happen and, you know, it's finally in reality.
• 5:03
  [SPEAKER_04]: So there we go ahead and introduce yourself man.
• 5:06
  [SPEAKER_04]: Tell the people who you are, how you help the people, you know, that good stuff.
• 5:09
  [SPEAKER_02]: Yeah, so, and if I start to nerd out, stop me.
• 5:13
  [SPEAKER_02]: But I'm Darian, I'm a PhD candidate in Computer Science at Cornell University in my background is in Computer Science, Mathematics, and Artificial Intelligence, and like Cody said, I've been contemplating Artificial Intelligence since.
• 5:27
  [SPEAKER_02]: 2015.
• 5:28
  [SPEAKER_02]: This is no exaggeration.
• 5:30
  [SPEAKER_02]: And I can go in and more details if you like right now.
• 5:34
  [SPEAKER_02]: But in 2014, I started at Morales College in undergrad and I was a physics major.
• 5:40
  [SPEAKER_02]: But Google had this inaugural program where they were teaching computer science to HBCU students and an effort to increase a diversity equity and inclusion because that was big during that time.
• 5:50
  [SPEAKER_02]: So I ended up taking the computer science course, ended up taking the Google interviews and passing and getting an internship at Google said headquarters in Mountain View, California.
• 6:00
  [SPEAKER_02]: So I go to Google from Atlanta, Georgia.
• 6:03
  [SPEAKER_02]: I move all the way from Atlanta, Georgia to the Google to California for a three-month internship.
• 6:08
  [SPEAKER_02]: And I do an internship with the Chromecast team.
• 6:12
  [SPEAKER_02]: Chromecast is no longer around some eye understanding, but I do a three-month internship with Google.
• 6:16
  [SPEAKER_02]: Then I come back and I'm like, this computer science stuff is going to change my life one day.
• 6:20
  [SPEAKER_02]: And what led to artificial intelligence, if I can be a bit more succinct, is when I got back, I was writing code, and I was making the states, and I was like, how do I write code that fixes my mistakes, and I talked to my professor, and that's when you let me know that you're thinking about the field of artificial intelligence.
• 6:36
  [SPEAKER_02]: So 2015 is when I started thinking about getting involved in artificial intelligence, and I've been on it ever since then.
• 6:43
  [SPEAKER_02]: So I'm really excited what we're at today.
• 6:45
  [SPEAKER_02]: Didn't notice what's going to happen.
• 6:46
  [SPEAKER_03]: Wow.
• 6:47
  [SPEAKER_03]: Yeah.
• 6:48
  [SPEAKER_03]: That's that that right there is crazy bro.
• 6:49
  [SPEAKER_03]: And then the fact that you know you mentioned that you you're a PhD You know studying AI like that's that that's crazy because you know a nowadays everybody's AI expert.
• 7:00
  [SPEAKER_03]: You know one two three tools
• 7:03
  [SPEAKER_03]: And they're on the internet and they talk about AI, but it's different.
• 7:05
  [SPEAKER_03]: You actually go to school for it.
• 7:06
  [SPEAKER_03]: Yeah.
• 7:07
  [SPEAKER_03]: And you're really studying and you're creating apps that you're using coding.
• 7:10
  [SPEAKER_03]: Yeah.
• 7:11
  [SPEAKER_03]: So yeah.
• 7:12
  [SPEAKER_03]: So that's really, that's really, really different.
• 7:14
  [SPEAKER_03]: And I kind of want to jump into a little bit just real quick.
• 7:17
  [SPEAKER_03]: The backstory, like, like, what led you into tech and like, you know, what kind of brought you into that field of, of, you know, started building apps and all of these things.
• 7:27
  [SPEAKER_03]: Yeah.
• 7:28
  [SPEAKER_02]: So I think it's too part.
• 7:31
  [SPEAKER_02]: So my father, he retired from Intel.
• 7:33
  [SPEAKER_02]: He was an electrical engineer, but he ended up going into sales.
• 7:36
  [SPEAKER_02]: But he never told me about technology growing up.
• 7:38
  [SPEAKER_02]: I think he wanted me to kind of discover what I wanted to do on my own.
• 7:42
  [SPEAKER_02]: and when I went to college, I had to do a net internship at Google.
• 7:46
  [SPEAKER_02]: I started thinking about how do I actually go from, like if you look at your phone, your device, if I can pull it out very quickly.
• 7:52
  [SPEAKER_02]: I'm like, how do you go from something that's represented on your screen to something functioning underneath the hood because there's a whole bunch of devices in here that enable if I tap this button.
• 8:02
  [SPEAKER_02]: Something if I connect it to like a doorbell that doorbell can ring like how does that how does that even function?
• 8:09
  [SPEAKER_02]: So I just got naturally curious about if anything has electricity running through it You mean if I learn how to code I can I can control that and it sounds like I'm being a power free.
• 8:19
  [SPEAKER_02]: Maybe I was but I was like I'm gonna need to learn a little bit more about
• 8:22
  [SPEAKER_02]: This whole computer science stuff.
• 8:25
  [SPEAKER_02]: So I think if that answers the question, that's kind of like what got me involved in this space Yeah, it makes a lot of sense.
• 8:32
  [SPEAKER_03]: It makes a lot of sense and I'm not gonna lie.
• 8:34
  [SPEAKER_03]: I want to see for like Go on up.
• 8:35
  [SPEAKER_03]: I definitely did want to they want to get into tech because of my favorite part of body was you get to create like it's some people who aren't
• 8:43
  [SPEAKER_03]: And they work for these big companies, but it's different when you actually create something in your own, you know Yeah, you know, you're out here, you know off camera You know, you're gonna probably speak on a little bit more here, but right now like you're creating a app right now with AI Yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, so I'm about to geek out because
• 9:04
  [SPEAKER_02]: Yeah, seriously because I'm what I'm working on right now is so technically fit and this is the operating system for human performance.
• 9:13
  [SPEAKER_02]: We're still developing the application right now, but the reason I'm geeking out is because for me, I think friend and development is the hardest thing to do.
• 9:21
  [SPEAKER_02]: How do you actually create a product that looks enticing?
• 9:23
  [SPEAKER_02]: So when people look at it, they enjoy their experience.
• 9:26
  [SPEAKER_02]: Mathematically speaking, that's not the hardest thing.
• 9:29
  [SPEAKER_02]: The hardest thing is what's happening behind the scenes.
• 9:31
  [SPEAKER_02]: But that's how my brain works.
• 9:33
  [SPEAKER_02]: So the things that are happening behind the scenes are easy for me, the things that are happening in front of the user that's hard for me.
• 9:39
  [SPEAKER_02]: I was trying to get so many people to help me build out this product, but they didn't have the same vision I had for it.
• 9:45
  [SPEAKER_02]: Every time I talk about it, I think it's just a fitness app, I'm like, well, that's how we kind of want to start off, but my vision for it for the world is to create something that is the operating system for human performance and it sounds vague.
• 9:57
  [SPEAKER_04]: Sorry to break the interview, but really not sorry to break the interview because listen.
• 10:01
  [SPEAKER_04]: Over the past few months, we've been testing out this one system that has been a complete game changer for us.
• 10:08
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• 10:10
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• 10:21
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• 10:26
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• 10:48
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• 10:54
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• 10:59
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• 11:08
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• 11:11
  [SPEAKER_03]: Listen, it's on us
• 11:12
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• 11:16
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• 11:21
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• 11:29
  [SPEAKER_03]: Back to the episode, yeah.
• 11:30
  [SPEAKER_02]: But now with AI, and again, I'm working on the copy for that.
• 11:33
  [SPEAKER_02]: But now with AI, I can create stunning visuals.
• 11:37
  [SPEAKER_02]: without having to hire somebody else.
• 11:40
  [SPEAKER_02]: I can look at a design.
• 11:41
  [SPEAKER_02]: I can use AI, and I say, hey, copy this design for me.
• 11:45
  [SPEAKER_02]: Structurally, how did it actually implement this visual representation there?
• 11:49
  [SPEAKER_02]: How did it do this animation?
• 11:50
  [SPEAKER_02]: And now you can copy that and bring that into my product.
• 11:53
  [SPEAKER_02]: So if you go to technicallyfit.com, that whole website was built using AI.
• 11:58
  [SPEAKER_02]: I just set up the back and infrastructure, and I spoke to my AI agent and said, make me something, can I?
• 12:04
  [SPEAKER_02]: Yeah.
• 12:05
  [SPEAKER_02]: I was like, maybe something that lives visually.
• 12:08
  [SPEAKER_02]: I'm a whole lot off on the customer for a minute.
• 12:10
  [SPEAKER_02]: It's really, it's too early, but she, whether jokes, jokes aside, I told it to make something visually pleasing.
• 12:18
  [SPEAKER_02]: And I'm trying not to nerd out too much, but I want to so bad because I don't usually have too many people to talk about this stuff, wait.
• 12:26
  [SPEAKER_02]: But that's what I'm doing right now.
• 12:27
  [SPEAKER_02]: So sorry if I was all over the place.
• 12:29
  [SPEAKER_02]: So having a hard time being a human and you and a guy, because my friend's called me and a guy,
• 12:34
  [SPEAKER_02]: It is what it is.
• 12:36
  [SPEAKER_04]: Yeah, but also one thing I did want to act to was, you know, you've seen this, this AI stuff, you know, 10 years prior, like that was not even a conversation back then, you know what I mean?
• 12:48
  [SPEAKER_04]: Like, that wasn't even some that people would even think about, you know, what did you see about like artificial intelligence that that the rest of the world probably didn't even think about or even see.
• 13:01
  [SPEAKER_02]: So what we have today, these large language models, people were thinking about language models, but we didn't have the compute capacity in language model, what do you mean?
• 13:09
  [SPEAKER_02]: So chat, GPT, claw, Gemini, these are called large language models, but in the media, people just call them AI.
• 13:16
  [SPEAKER_02]: So that's one specific field of AI.
• 13:19
  [SPEAKER_02]: large language models require a lot of computers working together in order to achieve some objectives.
• 13:26
  [SPEAKER_02]: We didn't have the compute infrastructure for that a few years ago.
• 13:30
  [SPEAKER_02]: Now we do.
• 13:31
  [SPEAKER_02]: So when I got exposed to artificial intelligence, I was thinking about relatively simple things.
• 13:37
  [SPEAKER_02]: How do I actually make a program that's capable of correcting itself?
• 13:40
  [SPEAKER_02]: How do I actually make a program that can learn from data intelligently?
• 13:43
  [SPEAKER_02]: So instead of be explicitly writing the code, that says, if you see this particular ball moving like this, then you should punch the ball because you want the ball to go that way.
• 13:52
  [SPEAKER_02]: Well, what if you just gather data about how the ball is moving?
• 13:55
  [SPEAKER_02]: And you gather data about how robust arms are moving.
• 13:58
  [SPEAKER_02]: And you train an algorithm on that data and you let the algorithm identify how it should move.
• 14:02
  [SPEAKER_02]: Like, that's the type of machine learning and artificial intelligence that I was thinking of.
• 14:07
  [SPEAKER_02]: What we have today, this is truly novel, because we have the computer for structure to support these massive workloads and now it's creating something that seems like human intelligence, and it's not.
• 14:21
  [SPEAKER_02]: Yeah.
• 14:22
  [SPEAKER_03]: Mix it up.
• 14:23
  [SPEAKER_03]: I see where you're coming from and before we jump into a little bit about your app, I definitely want to know your take on today's AI technology, like being that you're really like in the fields of AI.
• 14:37
  [SPEAKER_03]: I was even shocked to see Google be over dethroned like that.
• 14:41
  [SPEAKER_03]: I never really thought I was in a million years.
• 14:45
  [SPEAKER_03]: I see Google losing its place in the power rank.
• 14:50
  [SPEAKER_03]: Because when it comes to search engine, but now it seems like everyone is using chat GPT.
• 14:55
  [SPEAKER_03]: From your point of view,
• 14:57
  [SPEAKER_03]: It's chat GPT.
• 14:59
  [SPEAKER_03]: Do you think it's something that it's gonna dominate the AI industry being that it did sort of have a little bit of a head story I don't actually but there's not so many people who look like us who are in this space So y'all are asking me questions that I'm more than happy to answer.
• 15:21
  [SPEAKER_02]: Yeah
• 15:22
  [SPEAKER_02]: But imagine being in a space for people that don't look like you and then I've worked out a lot so people keep asking me am I an athlete.
• 15:29
  [SPEAKER_02]: Yeah, kind of but my my I want to talk about math.
• 15:33
  [SPEAKER_02]: I want to know that with y'all too, so that's why I'm getting a little excited.
• 15:36
  [SPEAKER_02]: So yeah, but give me if I get 90% but you were saying about chat GPT and then it'd be an overthrow in Google and.
• 15:45
  [SPEAKER_03]: Yeah, like do you see it holding that top spot?
• 15:48
  [SPEAKER_03]: Do you because you know, you probably work with various tools?
• 15:51
  [SPEAKER_03]: Hell yeah.
• 15:52
  [SPEAKER_03]: Is there anything better than chat you beat you that most people sleep in all right now?
• 15:55
  [SPEAKER_03]: You think chat you beat he got it for now?
• 15:57
  [SPEAKER_02]: So there are two ways of answering this.
• 15:59
  [SPEAKER_02]: There is something better than chat GPT if you're thinking about a specific task that you want to achieve.
• 16:04
  [SPEAKER_02]: So when it comes to coding, my model of choice is clawed.
• 16:07
  [SPEAKER_02]: I paid $200 a month for their coding agent and particular.
• 16:11
  [SPEAKER_02]: I paid $200 just for the coding model.
• 16:14
  [SPEAKER_02]: This has nothing to do with anything else except coding.
• 16:17
  [SPEAKER_02]: That's what I spend $200 on.
• 16:18
  [SPEAKER_02]: So if you're asking the question of, is there another model out there that's better at doing some specific tasks than chatGVT?
• 16:25
  [SPEAKER_02]: Absolutely.
• 16:26
  [SPEAKER_02]: But if the question is, for somebody who's just now getting exposed to artificial intelligence, are there models out there that are going to do better than what chatGPT could do for me?
• 16:36
  [SPEAKER_02]: Maybe, maybe not, but if you're new to AI, it's start off with JGPT.
• 16:40
  [SPEAKER_02]: It's a wonderful place to start.
• 16:42
  [SPEAKER_02]: Because all of these large language models, they're converging to like the same space of computation.
• 16:47
  [SPEAKER_02]: So one might be 2% better than the other, but if you've never used AI, you're at 0%.
• 16:54
  [SPEAKER_02]: Any AI you use is going to look like magic.
• 16:57
  [SPEAKER_02]: You're going to get benefited from it.
• 16:59
  [SPEAKER_02]: So that's kind of I'm thinking about are there products out there better than chat GPT?
• 17:03
  [SPEAKER_02]: Yes, but no if you're new to AI.
• 17:07
  [SPEAKER_02]: Just get started.
• 17:09
  [SPEAKER_03]: That makes a lot of sense and then what I'm hearing now too was like they're like it's going to be a future a billionaire who that literally just
• 17:19
  [SPEAKER_03]: By himself.
• 17:20
  [SPEAKER_03]: No employee.
• 17:21
  [SPEAKER_02]: I think it's extremely feasible.
• 17:23
  [SPEAKER_02]: I think it's extremely for you.
• 17:24
  [SPEAKER_02]: I've been pontificating on this for quite some time and you think about Instagram when Instagram sold the Facebook.
• 17:29
  [SPEAKER_02]: 12 employees, billion dollar company.
• 17:33
  [SPEAKER_02]: This was pre-AI 2012.
• 17:35
  [SPEAKER_02]: I might be off by year two.
• 17:37
  [SPEAKER_02]: Yeah, effects hit me.
• 17:38
  [SPEAKER_02]: But 2012, 12 employees.
• 17:40
  [SPEAKER_02]: He's off for a billion dollars.
• 17:42
  [SPEAKER_02]: 2026, 14 years later worth of innovation and now we have these large language models.
• 17:48
  [SPEAKER_02]: Maybe one might not be in the number, but two or three, you get two or three people together who are extremely, you get an extremely brilliant person at, Aya, you get an extremely brilliant person at business, and you get an extremely brilliant person at market.
• 18:03
  [SPEAKER_02]: You can bond those three people together.
• 18:05
  [SPEAKER_02]: And you teach to how to utilize AI, not only for their workflow, but for the other person's workflow.
• 18:11
  [SPEAKER_02]: So that only you do something in marketing or you do something in business.
• 18:15
  [SPEAKER_02]: I can communicate with you because I have an AI that can teach me what you're doing.
• 18:19
  [SPEAKER_02]: And then I can kind of like fact check you.
• 18:20
  [SPEAKER_02]: not disrespectfully, but just to make sure that you're on your P's and Q's, and now you can fact check me, you know my technology development, because before that was the divide, you know, tech, I don't know tech, how do we communicate if you've never written a lot of code, right?
• 18:34
  [SPEAKER_02]: Now what they are, AI, blurs those lines, you can speak to the AI and say, can you make sense of what this person in business is doing to me and teach me as somebody who's a technology expert?
• 18:47
  [SPEAKER_02]: So I think it's feasible.
• 18:48
  [SPEAKER_02]: I'm going to be excited to figure out who's the first one.
• 18:50
  [SPEAKER_02]: Yeah, I'm thinking about it.
• 18:53
  [SPEAKER_03]: I'm like, I'm hearing about I'm like a billionaire with no employees.
• 18:56
  [SPEAKER_02]: Just all AI's like crazy.
• 19:00
  [SPEAKER_02]: Here's a different perspective.
• 19:01
  [SPEAKER_02]: Maybe a sub billionaire with several thousand employees.
• 19:04
  [SPEAKER_02]: Because the computer, these devices, how many apps can your phone run at once?
• 19:08
  [SPEAKER_02]: 100,000s.
• 19:10
  [SPEAKER_02]: You have access to an ASL.
• 19:12
  [SPEAKER_02]: How many ASK can you run at once?
• 19:14
  [SPEAKER_02]: You're hundreds, thousands.
• 19:15
  [SPEAKER_02]: So is it really in one person company?
• 19:18
  [SPEAKER_02]: Maybe it's a thousand person company.
• 19:20
  [SPEAKER_02]: Is this a different way of thinking about it?
• 19:21
  [SPEAKER_02]: That's how I look at it.
• 19:23
  [SPEAKER_04]: Right, yeah.
• 19:23
  [SPEAKER_04]: So I do mention, now that you mentioned in Facebook, I mean, I think earlier this year, you know, Facebook had like a huge
• 19:34
  [SPEAKER_04]: hundreds, I don't know how much, but they laid off a good amount of people from, you know, their company.
• 19:42
  [SPEAKER_04]: And it kind of shaped, it shook the world up because, like, your, like, Facebook is one of the biggest companies out there, especially when it comes to, you know, like, social media, marketing, things like that, like, social, like, Facebook is one of them, one of the
• 20:03
  [SPEAKER_04]: Where can I go?
• 20:04
  [SPEAKER_04]: Where do I start when it comes to having my first AI agent or AI employee?
• 20:09
  [SPEAKER_04]: Because, you know, like, they say humans are very lazy, you know, they take time off and work.
• 20:14
  [SPEAKER_04]: The emotions call them, you know, they, they got the emotions right now is snowing outside.
• 20:19
  [SPEAKER_04]: It's almost like a blizzard.
• 20:20
  [SPEAKER_04]: Yeah.
• 20:21
  [SPEAKER_04]: Hey boss, I can't come to work today.
• 20:23
  [SPEAKER_04]: You know what I mean?
• 20:23
  [SPEAKER_04]: What the AI is, I'm sure.
• 20:24
  [SPEAKER_04]: What?
• 20:26
  [SPEAKER_04]: What will be like the first few steps to be able to, like,
• 20:29
  [SPEAKER_04]: Put an AI employee business, I would say.
• 20:33
  [SPEAKER_02]: Yes, so, and if it's okay, I have an assessment on my website for people who want to figure out how they can incorporate artificial intelligence into their business.
• 20:41
  [SPEAKER_02]: So if you go to dairyand.au and you just fill out the assessment, I will be in such which you to answer that question specifically for you and your business, but how I use it in my business, I use notion.
• 20:52
  [SPEAKER_02]: I don't know if you've heard of notion.
• 20:54
  [SPEAKER_02]: Yes, I've heard from you.
• 20:56
  [SPEAKER_02]: I organize all the companies I'm working on right now, even my life, my PhD work is organized in notion.
• 21:02
  [SPEAKER_02]: because they have a nice AI feature that looks at all of the context of the things that you're working going to you can speak to it and it's going to answer based on that context.
• 21:11
  [SPEAKER_02]: So think chatGPT but a more comprehensive organized workspace.
• 21:16
  [SPEAKER_02]: And I'm more than happy to show you a few examples because I was showing Cody.
• 21:19
  [SPEAKER_02]: I did awesome stuff before we started this conversation.
• 21:23
  [SPEAKER_03]: But I've familiar with what I want to see there.
• 21:24
  [SPEAKER_03]: Yeah.
• 21:25
  [SPEAKER_03]: I'm excited to jump into your app, but I have one more thought too.
• 21:29
  [SPEAKER_03]: Yeah.
• 21:30
  [SPEAKER_03]: Because most of you are going to watch this, right?
• 21:32
  [SPEAKER_03]: And I'm pretty sure, at this point, everyone is using AI.
• 21:35
  [SPEAKER_03]: Hopefully.
• 21:37
  [SPEAKER_03]: Yeah.
• 21:38
  [SPEAKER_03]: That is true.
• 21:38
  [SPEAKER_03]: Is there some people under that rock that they still don't got Chad GVT days?
• 21:42
  [SPEAKER_03]: They don't have none of these apps.
• 21:44
  [SPEAKER_03]: They're still kind of still skeptical, right?
• 21:45
  [SPEAKER_03]: Yeah.
• 21:46
  [SPEAKER_03]: Some people have a reason to be skeptical.
• 21:48
  [SPEAKER_03]: A lot of people.
• 21:49
  [SPEAKER_03]: They're thinking about their data, right?
• 21:51
  [SPEAKER_03]: You know, some people they tell they tell chat everything and Even Elon Elon Musk said something that it kind of made me think and he actually I don't know if he always looks into the future, but he seems like he's a little bit
• 22:08
  [SPEAKER_03]: like he's excited like of course he wants to dominate that field but he's seeing something he's like like you know AI is kind of scary like he's saying that it can really really get very scary yeah and I don't know what he's seeing maybe human robots maybe like
• 22:26
  [SPEAKER_03]: Yeah, but it's like another level like so awesome.
• 22:29
  [SPEAKER_03]: I'll roll by.
• 22:30
  [SPEAKER_03]: Yeah, so do you think it's it's a good idea for people to go out and and tell chat every single thing and the address When they're sick when they're feeling better, you know, little details about themselves and when you think that they're doing with all this data.
• 22:46
  [SPEAKER_03]: Absolutely not.
• 22:47
  [SPEAKER_02]: I'm not going home.
• 22:52
  [SPEAKER_02]: I don't
• 22:54
  [SPEAKER_02]: I've done work at AMD, LinkedIn, IBM, Adobe, and Google.
• 23:01
  [SPEAKER_02]: I'm company to be like, your date is protected.
• 23:03
  [SPEAKER_02]: I don't care what y'all say.
• 23:06
  [SPEAKER_02]: We can look at that data.
• 23:07
  [SPEAKER_02]: A human's going to look at that data at some point, and even if it's encrypted, we have some insight into that data.
• 23:13
  [SPEAKER_02]: And I might not know it was you specifically, but the things that you can see through Google search history they know what type of thing.
• 23:20
  [SPEAKER_02]: There's a reason you can search something.
• 23:21
  [SPEAKER_02]: I ain't going to say it like crazy on a podcast, but there's a reason you can search something crazy on Google like I want to do something to some particular person in a way that's not favorable for their life.
• 23:31
  [SPEAKER_02]: and that person will be God.
• 23:34
  [SPEAKER_02]: If that makes sense, I want to be careful with my language.
• 23:36
  [SPEAKER_02]: These companies can't see your data.
• 23:38
  [SPEAKER_02]: So if you're on chat and you're being very intimate with it, if that's you do you be personally, I'm not doing that.
• 23:46
  [SPEAKER_02]: And I wanted to finish answering your question from before.
• 23:49
  [SPEAKER_02]: Yeah.
• 23:49
  [SPEAKER_02]: I don't see a future where I don't want a future where we're using AI to replace employees, because I'm thinking about AI as this collaborative tool.
• 23:59
  [SPEAKER_02]: So I always tell people that AI isn't here to replace you was here to recruit you.
• 24:04
  [SPEAKER_02]: So if you utilize AI effectively, you got to think about, what are your ones at three core competencies?
• 24:09
  [SPEAKER_02]: So I think my one to three core competencies are.
• 24:11
  [SPEAKER_02]: mathematics, computer science, solve the engineer, and again artificial intelligence falls under that computer science and solve the engineering umbrella.
• 24:21
  [SPEAKER_02]: How do I utilize artificial intelligence to help me get better at those one to three core competencies?
• 24:26
  [SPEAKER_02]: And then how do I use it in other areas where I don't care if I get better at it or not?
• 24:31
  [SPEAKER_02]: Sales, do I need to get better at sales?
• 24:33
  [SPEAKER_02]: Yes, do I care?
• 24:35
  [SPEAKER_02]: A little bit.
• 24:36
  [SPEAKER_02]: But if I can use AI to teach me how to get better at sales, I'm going to use AI how to teach me.
• 24:41
  [SPEAKER_02]: I'm going to use AI to teach me how to get better at sales.
• 24:44
  [SPEAKER_02]: And maybe sales wasn't the best example because you do need to know how to speak to people.
• 24:48
  [SPEAKER_02]: Right.
• 24:48
  [SPEAKER_02]: You can think about like marketing content or generating digital assets.
• 24:52
  [SPEAKER_02]: You don't want to have to go learn Adobe Illustrator and make an asset from scratch.
• 24:56
  [SPEAKER_02]: In fact, can I show you some assets I generated for?
• 24:59
  [SPEAKER_02]: Technically fit just to show you visually on the website because I wanted different assets of
• 25:06
  [SPEAKER_02]: But I didn't want to go have the higher somebody and take a picture of them.
• 25:09
  [SPEAKER_02]: So I generated these digital assets.
• 25:12
  [SPEAKER_02]: Use an artificial intelligence.
• 25:15
  [SPEAKER_02]: And they look like real people, but they're not going to be like, you can't use my image.
• 25:18
  [SPEAKER_02]: It's not a real person.
• 25:19
  [SPEAKER_02]: I can't use that.
• 25:21
  [SPEAKER_02]: It was generated with AI.
• 25:22
  [SPEAKER_02]: And it asked the aesthetic of my site without me having to go find athletes in.
• 25:26
  [SPEAKER_04]: Do a photo shoot right right now.
• 25:29
  [SPEAKER_04]: I want to jump into the app.
• 25:31
  [SPEAKER_04]: You know the technical bit, but you mentioned some just now and it kind of brings me back to this, you know Because the way how we live and right now, and it was so funny yesterday I was on Instagram and I seen this guy.
• 25:44
  [SPEAKER_04]: He took a picture of him
• 25:45
  [SPEAKER_04]: And it was Bernie's burgo's and yeah, like a whole literally a whole slide deck of pictures of him and his girl and it's like you're like they loved up.
• 25:56
  [SPEAKER_04]: They cuffed up.
• 25:57
  [SPEAKER_04]: I went to this dude's page.
• 25:58
  [SPEAKER_04]: I'm like Really I'm looking at the comments.
• 26:05
  [SPEAKER_04]: Everybody's like congrats him.
• 26:06
  [SPEAKER_04]: Grats him.
• 26:07
  [SPEAKER_04]: Grats him.
• 26:08
  [SPEAKER_04]: Grats.
• 26:08
  [SPEAKER_04]: And then some people was like AI, AI, AI, AI, and I'm like wait
• 26:13
  [SPEAKER_04]: Bro, it looked who could.
• 26:15
  [SPEAKER_04]: So now my question is like, for example, like, you know, when it comes to like crime and when it comes to like people out there committing like all kinds of crime and stuff, like, like, where do you see that world going?
• 26:27
  [SPEAKER_04]: You know what I mean?
• 26:28
  [SPEAKER_04]: Cause I feel like there may be situations where, you know, that might not have been me, but I'm about to face, you know, a little time because of it because of AI, you know?
• 26:43
  [SPEAKER_02]: and that was novel, you know, I've been focusing on all the benefits.
• 26:51
  [SPEAKER_02]: I hadn't thought about, yeah, I see how these tech folks begin.
• 26:54
  [SPEAKER_02]: Okay.
• 26:56
  [SPEAKER_02]: Yeah, that's crazy.
• 26:58
  [SPEAKER_04]: Because people may call it certain crimes.
• 27:00
  [SPEAKER_03]: Yeah.
• 27:01
  [SPEAKER_03]: Yeah, that wasn't me.
• 27:02
  [SPEAKER_03]: And it made you on camera.
• 27:04
  [SPEAKER_03]: Bro, I was playing with it with the Sora app one day.
• 27:06
  [SPEAKER_03]: And I'm just like, I'm giving it prompts.
• 27:08
  [SPEAKER_03]: I'm just like, because it told me to scare my face and everything.
• 27:11
  [SPEAKER_03]: I'm playing with the app, and I'm like, so you scared your face?
• 27:17
  [SPEAKER_02]: Yeah, I did, I did, I did.
• 27:19
  [SPEAKER_02]: Let me hear those saying, right now.
• 27:20
  [SPEAKER_03]: And I'm over here.
• 27:21
  [SPEAKER_03]: And I'm over here like typing prompts from my go, which is me getting arrested and this, and then I actually typed it in, and it really did a whole video, cops coming in, like opening your door, and then I had like sent it over to like, it's like a family group chat.
• 27:37
  [SPEAKER_03]: And my mom actually believed it.
• 27:39
  [SPEAKER_03]: Wow.
• 27:41
  [SPEAKER_03]: And I'm like, what the hell?
• 27:44
  [SPEAKER_03]: And you know, I was like, this is actually kind of scary, but it is.
• 27:49
  [SPEAKER_03]: And people are online monetizing that content.
• 27:53
  [SPEAKER_03]: Like, people are online making skits using sorrow all day long or tricking like a whole bunch of people into, believing that, or they were this celebrity, that celebrity.
• 28:02
  [SPEAKER_03]: And it's like, it's not scary, right?
• 28:04
  [SPEAKER_04]: Thought it was real.
• 28:05
  [SPEAKER_04]: And to add on to that too, like,
• 28:07
  [SPEAKER_04]: We got a friend like he literally he's in the podcast space as well.
• 28:11
  [SPEAKER_04]: Yeah, and he was like showing us like yo, bro like I found a new AI software that's gonna help me to be able to create course content and I'm looking at the video Mike Curtis don't sound like you it look it looks really good.
• 28:27
  [SPEAKER_04]: It looks like he's in a studio set up his old clean and I might pro It doesn't sound like you is this you
• 28:38
  [SPEAKER_04]: It looked like you, but I don't know if that's you, and he's like, nah, like, I say, AI, let me put you on.
• 28:45
  [SPEAKER_04]: And he uses whole AI to create like a whole course format.
• 28:49
  [SPEAKER_04]: So I say that to say like, I feel like it could get scary.
• 28:52
  [SPEAKER_01]: Yeah.
• 28:53
  [SPEAKER_04]: When it comes to using AI, you know, so it's like more like, use it wisely or use it as your own discretion, but like, you know, I just wanted to ask you as an AI expert, you know?
• 29:05
  [SPEAKER_02]: Yeah, and I think my use of AI has always come from a place of curiosity because I'm always trying to figure out how can I expand small understanding of the world and how do I create things that I think other people should experience in this world, which is why I'm building technically fit, but I'm not trying to utilize AI to to distort people or I'm not trying to utilize AI to to depricate myself.
• 29:30
  [SPEAKER_02]: to say, okay, now A.I's just doing all the work and I can just kick back and enjoy life.
• 29:34
  [SPEAKER_02]: I think that'd be a very boring life.
• 29:36
  [SPEAKER_02]: I want to continue to pursue the things I want to pursue, but leverage A.I.
• 29:39
  [SPEAKER_02]: to take me further.
• 29:40
  [SPEAKER_02]: But the one you mentioned about leveraging it for bad, for ill intent.
• 29:44
  [SPEAKER_02]: That one actually made me pause.
• 29:47
  [SPEAKER_02]: Yeah.
• 29:49
  [SPEAKER_02]: I don't quite know, I'm going to think about that afterwards, but I don't quite know how we mitigate those issues because I can see my grandmother getting extorted.
• 29:57
  [SPEAKER_03]: Yeah, that's one of the things and then being that, I'm even thinking too, because I'm like, all right, yeah, Sora, you know, it might look a little fake hearing there, but they're starting from somewhere.
• 30:07
  [SPEAKER_03]: It's only going to get more realist crazy and it's going with crazy, it's like, it's
• 30:19
  [SPEAKER_03]: Because right now, all these countries that they're trying to dominate this AI, you're trying to go on hard.
• 30:25
  [SPEAKER_03]: U.S. going hard, you know, and all these other countries, they're really trying to dominate that AI space.
• 30:33
  [SPEAKER_03]: Do you believe put in a cap on AI like the innovation when it comes to AI technology is needed?
• 30:40
  [SPEAKER_03]: Especially for things like we just mentioned what you think like right now, it's just,
• 30:45
  [SPEAKER_03]: who could create the most innovative thing right now with AI.
• 30:48
  [SPEAKER_02]: I think we do need some type of policy regulation and I have a friend who finished our PhD at Cornell who does work in his space.
• 30:55
  [SPEAKER_02]: Yeah.
• 30:56
  [SPEAKER_02]: Get out there, eh?
• 30:57
  [SPEAKER_02]: Yeah, sure.
• 30:58
  [SPEAKER_02]: Yeah.
• 30:58
  [SPEAKER_02]: Chinasa, okolo.
• 30:59
  [SPEAKER_02]: So she's a phenomenal person, but what you'll notice is that the rate at which artificial intelligence moves is so much quicker orders of magnitude quicker than the rate at which policy develops.
• 31:12
  [SPEAKER_02]: that try and to put a cap on something that's innovating on a weekly basis down here.
• 31:18
  [SPEAKER_02]: How do you do that?
• 31:20
  [SPEAKER_02]: It's like do y'all watch a basketball?
• 31:22
  [SPEAKER_02]: Yeah, Kyle Reerven is one of my favorite players and somebody talked about watching Kyle Reerven played or like,
• 31:27
  [SPEAKER_02]: how do you try to guard his next move when he's thinking about it in the moment?
• 31:32
  [SPEAKER_02]: He's about to do something he's never thought of before.
• 31:35
  [SPEAKER_02]: So if he's never thought of it before, you can't even anticipate how to guard it because he's innovating in the moment on you.
• 31:40
  [SPEAKER_02]: That's how, that's how crappy his handle is.
• 31:42
  [SPEAKER_02]: That's why nobody can guard our car rear of him.
• 31:44
  [SPEAKER_02]: Nobody.
• 31:45
  [SPEAKER_04]: Yeah.
• 31:45
  [SPEAKER_02]: Yeah.
• 31:46
  [SPEAKER_02]: That's sort of how they can borrow artificial intelligence.
• 31:49
  [SPEAKER_02]: And so we're the analogy to map basketball the AI.
• 31:52
  [SPEAKER_02]: Yeah.
• 31:52
  [SPEAKER_02]: But that's how I'm thinking about AI.
• 31:54
  [SPEAKER_02]: It's moving so quickly that unless we say let's just stop all development and really get Like serious about how this is going to affect humanity.
• 32:03
  [SPEAKER_02]: I don't see us effectively managing the negative side effects as well as the positive side effects and to put a cap on that Martin Luther King, one of my favorite idols, he has a quote that says, time is neutral, they can either be used constructively or destructively.
• 32:20
  [SPEAKER_02]: That applies to artificial intelligence as well.
• 32:22
  [SPEAKER_02]: They can either be used constructively, which is what I vouch for.
• 32:25
  [SPEAKER_02]: More destructively, which is what you'll see some people using soar for.
• 32:30
  [SPEAKER_03]: Wow, that's one thing.
• 32:31
  [SPEAKER_03]: It's like how you use it.
• 32:33
  [SPEAKER_03]: It just depends on how you use it.
• 32:34
  [SPEAKER_03]: Yeah, and you know You say using the fitness background.
• 32:39
  [SPEAKER_03]: Yeah, so with the app you're creating now because I do want to jump into the app a little bit You know because a lot of people did like right now health and wellness is big.
• 32:47
  [SPEAKER_03]: Yeah, everybody's looking for a way to track calories track like control their sleep
• 32:53
  [SPEAKER_03]: Like Cody has the, uh, you know, he don't got it on today.
• 32:56
  [SPEAKER_03]: Worrying, but the, the, the, the, the, the, the, the, the, the, the, the, the, the, the, the, um, yeah, all of these, all of these apps just to really like take care of their health.
• 33:07
  [SPEAKER_03]: Yeah, um, where did, like where do you come in with your app and and what made you, you know, yeah, think about that idea.
• 33:15
  [SPEAKER_02]: Yeah, so if I can start from the original origin story in 2018, I was working at Adobe Research.
• 33:22
  [SPEAKER_02]: And every day during lunch, I would go to the gym instead of having lunch with my team.
• 33:27
  [SPEAKER_02]: And it got to a point where my team started to ask me, Daryne, where are you going for lunch?
• 33:31
  [SPEAKER_02]: And I'm like, I'm going to the gym because I'm trying to tell you.
• 33:38
  [SPEAKER_02]: We're like literally sitting down all day, unlimited snacks, stay by our food and we're coding.
• 33:44
  [SPEAKER_02]: I'm like, that's bad for our health.
• 33:47
  [SPEAKER_02]: I know it is because I'm a former athlete and my body's like, why are you sitting down for four hours on end?
• 33:52
  [SPEAKER_02]: So I told them, I'm going to the gym to work on my body because I'm sitting down all day and the idea for technically fit started off as
• 33:59
  [SPEAKER_02]: How do I make sure that I'm in this space where everybody is extremely smart.
• 34:04
  [SPEAKER_02]: They're technically competent But how do I actually make sure I maintain physically fit and then I just combine the two terms together technically fit and I was like Oh, that's actually a double on size or because all I need to do is like the bare minimum into gym So remain technically in shape and it gives me more time to study my math and computer science and I could become more mentally fit right and I was like oh I like that
• 34:27
  [SPEAKER_02]: wasn't thinking about creating an app or doing none of that.
• 34:30
  [SPEAKER_02]: Started my PhD program, and that was in order to do a lot of it self like this, the level of complex, the of starting a PhD program wasn't prepared for it, so I'm trying to figure out how do I maintain my active lifestyle, but also get a PhD consistently tired.
• 34:48
  [SPEAKER_02]: trying to figure out, how do I come out with workouts that don't tire me out?
• 34:52
  [SPEAKER_02]: And then how do I actually eat appropriately so that I can sustain my energy throughout the day?
• 34:57
  [SPEAKER_02]: And I don't just eat this big meal and get theitis.
• 34:59
  [SPEAKER_02]: I was really confused about how to do that.
• 35:02
  [SPEAKER_02]: Long story short, I ended up writing a personalized workout algorithm to solve the workout portion for me.
• 35:07
  [SPEAKER_02]: I won't get too much into the details, but it started off as me saying, if I want to work on this particular muscle group and minimize my fatigue while maintaining muscle development, what do I need to do in order to achieve that?
• 35:18
  [SPEAKER_02]: So that was the origin story behind technically fit, and I know it'd be rambling for quite a bit, so bring it back to your question.
• 35:25
  [SPEAKER_02]: What I'm working on now is...
• 35:28
  [SPEAKER_02]: You have all these devices.
• 35:30
  [SPEAKER_02]: I even have my Apple watch.
• 35:31
  [SPEAKER_02]: I used to have a fit bit.
• 35:32
  [SPEAKER_02]: My buddy had a loop.
• 35:33
  [SPEAKER_02]: He got rid of it.
• 35:33
  [SPEAKER_02]: And now he has an org ring.
• 35:34
  [SPEAKER_02]: We've experimented with a lot of nutrition, supplementation, physical devices.
• 35:38
  [SPEAKER_02]: And he's an athlete as well.
• 35:39
  [SPEAKER_02]: He rosemary thoughts.
• 35:41
  [SPEAKER_02]: All these devices give you data.
• 35:43
  [SPEAKER_02]: But none of them give you actionable insight that says, Daryon, based on your conditioning for the past two weeks.
• 35:49
  [SPEAKER_02]: And the fact that you've let me know that your left knee is a little bit fatigue,
• 35:52
  [SPEAKER_02]: Your patella might be inflamed so we think that you should de-loat for two days and when you get back walk on a treadmill That's a very specific Regiment that my personal trainers have recommended to me and I've worked with three personal trainers and I wanted to get my own personal training license Which is what I got through the National Academy
• 36:11
  [SPEAKER_02]: a sports medicine to figure out.
• 36:13
  [SPEAKER_02]: What is it like to be a trainer and what is it like to be trained?
• 36:15
  [SPEAKER_02]: But the regimen is that we recommend a very specific.
• 36:19
  [SPEAKER_02]: We live and I'll wrap this up in 10 seconds.
• 36:21
  [SPEAKER_02]: We live in today's day and age where we have enough data and we have enough infrastructure to provide that personalize recommendation for you, for you and for me, which is why I'm calling it the operating system for human performance.
• 36:33
  [SPEAKER_04]: I like the idea like I like the the mission idea of where you're heading with the business because it kind of reminds me like like you know like using AI and using it to be able to use it personally to you.
• 36:47
  [SPEAKER_04]: Yeah, I mean like
• 36:48
  [SPEAKER_04]: Like my body type might be completely different from somebody else's, and that's what I've heard from a lot of different, like for example, like marketing things, like hey listen, keto may not work, it's this, you know, fasting is not, it's not, you know, some of you can sustain for too long.
• 37:10
  [SPEAKER_04]: So it really just works for a specific person in their lifestyle, so that sounds good.
• 37:17
  [SPEAKER_02]: with the actual AI like is it like trainers in there like like AI trainers like what's what's inside of it so my goal and if you go to technically fit.com you can go ahead and sign up to be one of the early beta users but my goal is to create something that keeps the human into loop because I'm a trainer I want to work with my clients so I don't want to get rid of myself and the idea is have you heard of a market place economy?
• 37:45
  [SPEAKER_02]: You think about, like, yeah, eBay, Airbnb.
• 37:49
  [SPEAKER_02]: So you have a two-sided economy where you have producers and you have consumers.
• 37:53
  [SPEAKER_02]: In order for that economy to exist, there has to be enough producers so the consumers can buy stuff.
• 37:59
  [SPEAKER_02]: But there also has to be enough consumers so the producers can produce things.
• 38:03
  [SPEAKER_02]: And they transact what one another.
• 38:04
  [SPEAKER_02]: So Airbnb, the producer, is the person who puts their home up on Airbnb, the consumer, our people like us who go into that home and they stay there for a few days.
• 38:15
  [SPEAKER_02]: Airbnb sets up a platform to facilitate that interaction and they take a small fee for facilitating that interaction.
• 38:21
  [SPEAKER_02]: And they don't own anything.
• 38:23
  [SPEAKER_02]: You can do the same thing with personal training and performance goals for any arbitrary sport and for any arbitrary coach.
• 38:30
  [SPEAKER_02]: You have coaches that have knowledge.
• 38:32
  [SPEAKER_02]: and you have athletes and individuals who want that knowledge.
• 38:36
  [SPEAKER_02]: How do you create a platform that provides them with tools so that coaches can create that program if they want to create something highly specialized for you?
• 38:44
  [SPEAKER_02]: And the athlete doesn't want to work with you at your B-Spoke price of $2,000, but they want that knowledge.
• 38:49
  [SPEAKER_02]: They can purchase your program for say $50 because that's all they can afford.
• 38:52
  [SPEAKER_02]: But if you have the capacity to demand, maybe they want to work with you directly and they reach out to you and say, hey, I'd like to work with you specifically.
• 38:58
  [SPEAKER_02]: How do you create an economy that facilitates those interactions and the idea when I say an Operating system for him in performance if we do that right then you start bringing going nutritionist Then you start bringing going physical therapist then you start going doctor you kind of get like the whole health ecosystem And that's why this heart motif is the logo Everything related to the body starts at the heart right so that's you all I really like the idea to think of my day Because I remember
• 39:27
  [SPEAKER_03]: when I was trying to get like fitness apps I had to download one app for a new Trisha and get another app for workouts and it was just kind of all over the place.
• 39:36
  [SPEAKER_03]: You know what I mean?
• 39:36
  [SPEAKER_03]: So I've been everything on one app is a little bit different with the human in the loop still.
• 39:42
  [SPEAKER_03]: Yeah.
• 39:43
  [SPEAKER_03]: So where does the AI come in like,
• 39:46
  [SPEAKER_03]: Yeah.
• 39:47
  [SPEAKER_03]: Is it studying your habits?
• 39:49
  [SPEAKER_03]: Is it, you know, because everybody's body is a little bit differently.
• 39:53
  [SPEAKER_03]: Some people have a hard time losing ways to be able to have a hard time getting in weight.
• 39:56
  [SPEAKER_03]: Yeah.
• 39:57
  [SPEAKER_03]: Some people was really horrible.
• 39:58
  [SPEAKER_03]: I died in.
• 39:59
  [SPEAKER_03]: It's like different.
• 40:00
  [SPEAKER_03]: And then some people have injuries and things that limit their, you know, movements.
• 40:04
  [SPEAKER_03]: So, you know, where does the AI come in providing these people weight, you know, solutions or, you know, help?
• 40:11
  [SPEAKER_02]: Yeah, and this is where I have to do a better job at explaining the product because there are two ways that AI can come in.
• 40:18
  [SPEAKER_02]: The first way is AI is helping be built out the product which doesn't have the AI offering immediately.
• 40:26
  [SPEAKER_02]: Then the second aspect of AI is I have a deterministic system because the human body is well understood in terms of like your joints, your anatomy,
• 40:38
  [SPEAKER_02]: If your knees hurt and is probably something related to your calves, your tibialis, your quadriceps, or your hamstrings.
• 40:46
  [SPEAKER_02]: or your patel it's something right here is not because your neck like maybe something in your neck leads to something your shoulder but it's more than likely related to something right here.
• 40:59
  [SPEAKER_02]: What I've developed right now is a deterministic system that takes input from users, objective input about what they're doing with their body and it's a little bit vague right now but what they're doing with their body because I don't want to get into the mathematical specification.
• 41:12
  [SPEAKER_02]: I do want to get it to the math medical specialists, but I got to be cognizant of who my audience is.
• 41:19
  [SPEAKER_02]: And that's no disrespect to the audience, but it's...
• 41:22
  [SPEAKER_02]: If you want to talk about it, if you want to talk about it, if you want to talk about it, if you want to talk about it, if you decide to hit me up, I'm what I'm happy to nerd out, but the human body is pretty well determined.
• 41:32
  [SPEAKER_02]: So I have a deterministic system right now that takes your subjective input and your objective input.
• 41:39
  [SPEAKER_02]: I did a leg press for 12 reps. That's objective data.
• 41:42
  [SPEAKER_02]: You measured that.
• 41:44
  [SPEAKER_02]: Cool.
• 41:45
  [SPEAKER_02]: But my knee feels a little bit funny.
• 41:47
  [SPEAKER_02]: Subjectively, does that mean your knee hurts or did it just, you kind of give on a second.
• 41:54
  [SPEAKER_02]: So that subjective aspect, there's no way of mapping that to like a horror-coded science and that's kind of where like the AI can come in and say,
• 42:03
  [SPEAKER_02]: maybe this person has an inflamed but teller and if they do the work out again and it's still bothering them then you can signal hey based on these signals that we're receiving from you we think you might need to go see of physical therapists and if we do this right the physical therapist exists in the whole ecosystem and we can just flag the physical therapist and say this client is actually looking for services
• 42:26
  [SPEAKER_02]: you just have all of that in one the operating system for human performance.
• 42:30
  [SPEAKER_02]: The same way your device gives you so much.
• 42:32
  [SPEAKER_03]: Do.
• 42:33
  [SPEAKER_02]: That's transistors, capacitors, cameras, hardware, clock.
• 42:37
  [SPEAKER_02]: Got a whole bunch of shitty iPhone, but you're not thinking about that.
• 42:40
  [SPEAKER_02]: The operating system is, but you're not.
• 42:43
  [SPEAKER_02]: That's what we're trying to do.
• 42:44
  [SPEAKER_02]: We want to think about that.
• 42:45
  [SPEAKER_02]: Because we think that's interesting.
• 42:47
  [SPEAKER_02]: We don't want you to think about it.
• 42:48
  [SPEAKER_03]: Does that make- This is a hard thing for me to like- You broke it down and I like the idea behind that.
• 42:55
  [SPEAKER_03]: So, for like, they use the side for like anybody who's watching this and they're like, yeah, like, I want to download this app, like I want to try it out.
• 43:04
  [SPEAKER_00]: Can I give you a quick tip on how to build wealth?
• 43:06
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• 43:10
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• 43:14
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• 43:22
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• 43:23
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• 43:24
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• 43:26
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• 43:28
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• 43:41
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• 43:45
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• 43:53
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• 43:57
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• 44:01
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• 44:14
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• 44:15
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• 44:30
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• 44:45
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• 44:54
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• 44:59
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• 45:00
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• 45:04
  [SPEAKER_03]: some benefits for them like like let's say if somebody you know weight loss is a big thing right now.
• 45:09
  [SPEAKER_03]: Everybody's trying to lose weight and I see God it was a big.
• 45:11
  [SPEAKER_03]: You got all these these these weight loss and they have the people who do want to work out.
• 45:15
  [SPEAKER_03]: Yeah people who do want to you know try calories and do all these things.
• 45:18
  [SPEAKER_03]: So
• 45:20
  [SPEAKER_03]: How efficient would it be?
• 45:22
  [SPEAKER_03]: I'm pretty sure.
• 45:23
  [SPEAKER_03]: I don't know if you do like a test trial.
• 45:26
  [SPEAKER_03]: You've got numbers and things like that, but hitting like helping people hit those weight goals like weight loss.
• 45:30
  [SPEAKER_03]: Yeah.
• 45:32
  [SPEAKER_03]: Yeah, like how efficient is it and how could it really help them hit because.
• 45:36
  [SPEAKER_03]: You know, most people didn't even for themselves, they didn't even know what can make sense.
• 45:40
  [SPEAKER_02]: Like, is this really going to help me?
• 45:41
  [SPEAKER_02]: Yeah, it was makes sense.
• 45:42
  [SPEAKER_02]: And this is always the most challenging thing about doing stuff in the health of wellness space.
• 45:47
  [SPEAKER_02]: Yeah.
• 45:47
  [SPEAKER_02]: Because you can't sell, you can't sell an ozimpic.
• 45:50
  [SPEAKER_02]: I mean, you can, but you wouldn't be in the health of wellness space.
• 45:53
  [SPEAKER_02]: You're selling a solution that's going to work immediately.
• 45:56
  [SPEAKER_02]: What we're trying to provide is something that, of course, is going to take time for you to discover if this works.
• 46:00
  [SPEAKER_02]: But they need to think about the human body.
• 46:03
  [SPEAKER_02]: we know what it takes to lose weight.
• 46:05
  [SPEAKER_02]: You have to eat less than you burn.
• 46:07
  [SPEAKER_02]: And it sounds for the majority of people, 95% of people, we know they're like some extenuating circumstances, but for the majority of people, if you eat less and you move more, you will lose weight, period.
• 46:23
  [SPEAKER_02]: And we can encode that in a product that makes you not have to think about that.
• 46:30
  [SPEAKER_02]: period.
• 46:31
  [SPEAKER_02]: Yeah.
• 46:31
  [SPEAKER_02]: If you if you're somebody who wants a quick solution, I don't think the products for you from just being straightforward and transparent because for me, like, help to help this something I take very seriously because I have skinny and fat people in my family with diabetes and I just always thought I was going to get diabetes.
• 46:48
  [SPEAKER_02]: So then I'll watch the lecture and hour and ten minute lecture on the biochemistry of biabetes.
• 46:54
  [SPEAKER_02]: Because I want to know how I can not get this and it turns out that one of the key factors of reducing your likelihood of getting diabetes is making sure your body is inefficient, processor of glucose, which is just sugar and your body becomes a better processor of glucose to more muscle mass you have.
• 47:09
  [SPEAKER_02]: So it turns out that if you have more muscle mass, you can decrease your probability of getting diabetes.
• 47:14
  [SPEAKER_02]: That one factor alone decreases your
• 47:18
  [SPEAKER_02]: And I was like, that's neat, what else can the body do for me?
• 47:22
  [SPEAKER_02]: And that's sort of like, that's just kind of where my mind goes.
• 47:25
  [SPEAKER_02]: I'm not thinking about like, A, I am mathematics.
• 47:28
  [SPEAKER_02]: I'm like, okay, I don't want to die tomorrow.
• 47:30
  [SPEAKER_02]: How can I make sure I don't die tomorrow?
• 47:32
  [SPEAKER_02]: And if I don't die tomorrow, I want to be able to get up.
• 47:34
  [SPEAKER_02]: How can I make sure I can get up?
• 47:35
  [SPEAKER_02]: I need muscles in my legs.
• 47:37
  [SPEAKER_02]: Yeah.
• 47:38
  [SPEAKER_02]: So that's sort of where my mind goes outside of the A.S. stuff.
• 47:42
  [SPEAKER_03]: Let's go.
• 47:42
  [SPEAKER_02]: Let me go.
• 47:44
  [SPEAKER_03]: Yeah.
• 47:44
  [SPEAKER_03]: And from like a marketing standpoint for something like this, like, I like what are some ways that you, you know, you're putting this out?
• 47:51
  [SPEAKER_03]: Because I like the app.
• 47:52
  [SPEAKER_03]: I love the idea.
• 47:53
  [SPEAKER_03]: And I really think like it's something the world definitely does need.
• 47:59
  [SPEAKER_03]: How does it work?
• 48:01
  [SPEAKER_03]: Especially when it comes to like the startup side of things like how do you go out?
• 48:05
  [SPEAKER_03]: Because everybody got these ideas, you know, they got the MVP, all this other stuff.
• 48:11
  [SPEAKER_03]: But how do you go out and you really like either get investors, you know, get people to really see the product?
• 48:18
  [SPEAKER_03]: Because a lot of times, just like just get it in out there.
• 48:20
  [SPEAKER_03]: You know, it's your goal too.
• 48:23
  [SPEAKER_03]: Exit like like what is it like like what's your ultimate goal with the app and and kind of like how you're going to get people to either invest into it take it to the next level.
• 48:33
  [SPEAKER_02]: Yeah, you mentioned a few key important things and my backpack over there I got this book on financial intelligence for entrepreneurs that I've been reading.
• 48:40
  [SPEAKER_02]: But I'm going to go in several different directions, but I'm pretty sure I'll answer your questions.
• 48:45
  [SPEAKER_02]: So one direction is I've been fortunate enough to get exposed to people who have raised funding for their businesses and I have a network of people who I can reach out to when the time is right, but something that I was sharing with Cody before we talked.
• 48:56
  [SPEAKER_02]: Right now I'm currently finishing my PhD.
• 48:59
  [SPEAKER_02]: The other thing I'm working on is my AI and software engineering business because that puts money in my pocket But it's also something that I really love doing and everything I learned in that business I can apply to technically fit and then there's a third thing I'm working on, which is another startup, which is in a space desk Tangentially related to this, but it's with the group of people who I know intimately well So I've been working on technically fit in my free time right now
• 49:25
  [SPEAKER_02]: My go-to-market strategy is something that I've been developing with a business, a shelonkin business, so they reached out to me and we had a conversation and they're developing my brand again marketing material and my pitch deck presentation.
• 49:37
  [SPEAKER_02]: So what I'm doing with technically fit is I'm doing the slow roll because I've built something that works for myself.
• 49:44
  [SPEAKER_02]: I just need to have the time to sit down and put it in an interface.
• 49:47
  [SPEAKER_02]: that works for others, so I can get that market feedback.
• 49:50
  [SPEAKER_02]: And if the market lets me know that we don't like this idea, we think you should pivot.
• 49:54
  [SPEAKER_02]: I'm going to pivot and if the market says we like that idea, keep going in this direction and give me a feature that does.
• 50:00
  [SPEAKER_02]: Excuse me.
• 50:01
  [SPEAKER_02]: Give me a feature that does X, Y, Z. I'm going to give you a feature that does X, Y, Z.
• 50:06
  [SPEAKER_02]: So if I didn't have these other things on my plate, this is what I would literally spend every single week.
• 50:11
  [SPEAKER_02]: I literally dream about this.
• 50:13
  [SPEAKER_02]: I do dream about this.
• 50:15
  [SPEAKER_02]: I dream about this.
• 50:16
  [SPEAKER_02]: I want this for the world because I've had people in my family die from things like you could You didn't have the I mean you can't tell them because they're dead But I'm like you didn't have the die from that take care of your body everything you do what your body is a performance goal And that's what technically fit us about it.
• 50:31
  [SPEAKER_02]: You specify performance goal.
• 50:32
  [SPEAKER_02]: How do we help you achieve it?
• 50:34
  [SPEAKER_04]: But I don't stand for this
• 50:37
  [SPEAKER_04]: So now, you know, as far as like when it comes to building out the AI system, I mean building out the app.
• 50:42
  [SPEAKER_04]: Yeah, you know, before our podcast, you know, I got Daryne went out there and just use AI to hit the website for motion and success.
• 50:50
  [SPEAKER_04]: How long would it, how long does like, because you know, and then you can also give the back story and how long it used to take for, for, for website or even an app to get built.
• 51:01
  [SPEAKER_04]: Like how long would it take to actually build out like,
• 51:06
  [SPEAKER_04]: like a system or even a software or even a website.
• 51:10
  [SPEAKER_04]: You know, let's say, hey, listen, somebody come to you and they say, listen, Daryon, you know, I want to actually build out the idea, like, you know, this idea that I have, you know, like how long would it take?
• 51:23
  [SPEAKER_02]: Yeah, so let's start with the website one because that one was a bit easier to answer and then the system one we can come back to because that's something that I specialize in and right now you could use AI to help you map out systems, but AI's aren't particularly trained and thinking in systems, they're trained and thinking in language their large language models.
• 51:44
  [SPEAKER_02]: Let me just produce a response that's probabilistically correct.
• 51:49
  [SPEAKER_02]: So I'm going to start off with the website one.
• 51:52
  [SPEAKER_02]: Nowadays, I said it was going to take us 10 minutes to build the website.
• 51:55
  [SPEAKER_02]: It got done in six, and we used the last four minutes to just play our last one.
• 52:01
  [SPEAKER_02]: But previously, like on the order of three to four weeks, if you pay somebody a good penny and they just sit down and focus all of their time building out that website, they can get you a website in three to four weeks.
• 52:15
  [SPEAKER_02]: I don't know what that multiplicative factor of increase is, but to go from three to four weeks to six minutes, it's absolutely nuts.
• 52:24
  [SPEAKER_02]: point blank period.
• 52:26
  [SPEAKER_02]: Now, when it comes to building out systems, then again, this is something that I specialize in.
• 52:31
  [SPEAKER_02]: So if you want to go to dairyand.ai, you can see some of the work that I've done.
• 52:35
  [SPEAKER_02]: If you want to work with me in particular, if this is okay, if you want to work with me in particular, you could book a consultation call and we do have some discount calls.
• 52:43
  [SPEAKER_02]: So for the first 26 people who used to call motion, you will get a 26% discount.
• 52:48
  [SPEAKER_02]: But if you want to think in systems, you have to actually understand what's your specific business
• 52:54
  [SPEAKER_02]: What was the last time I ate out was trained on your specific business problem?
• 52:59
  [SPEAKER_02]: Stop thinking about it.
• 53:01
  [SPEAKER_02]: It wasn't going to be.
• 53:03
  [SPEAKER_02]: I'll see.
• 53:04
  [SPEAKER_02]: Shut every day, bro.
• 53:07
  [SPEAKER_02]: So chat, chat's building up that this is a neat thing with these AI models.
• 53:11
  [SPEAKER_02]: So there are two different processes.
• 53:12
  [SPEAKER_02]: They have the training process and they have the Empress process.
• 53:15
  [SPEAKER_02]: when you're in chat that's the inference process.
• 53:18
  [SPEAKER_02]: So it's not trained on your company context or your business context, but it's building up some contextual awareness about what you're talking about because it has the capacity to do so.
• 53:30
  [SPEAKER_02]: But we talk about training when you train a model that's specifically saying,
• 53:35
  [SPEAKER_02]: We're going to change.
• 53:35
  [SPEAKER_02]: I don't know if you've heard about like the weights in neural networks.
• 53:39
  [SPEAKER_04]: What is it?
• 53:39
  [SPEAKER_02]: weights in neural networks.
• 53:41
  [SPEAKER_02]: So a large language model underneath the this neural network is just a mathematical model that represents reality in terms of language.
• 53:50
  [SPEAKER_02]: And I do this because it's not a great model of reality.
• 53:54
  [SPEAKER_02]: But that training process is actually what makes the model smart.
• 53:58
  [SPEAKER_02]: You have something called a loss function and you say here's what we care about.
• 54:01
  [SPEAKER_02]: Here's the data.
• 54:03
  [SPEAKER_02]: Let's train it until it satisfies this thing we care about.
• 54:06
  [SPEAKER_02]: That's an AI model being trained on your specific information.
• 54:09
  [SPEAKER_04]: Makes sense.
• 54:10
  [SPEAKER_02]: Most of these AI models that people use, they're not trained on your specific information.
• 54:16
  [SPEAKER_02]: they're just not.
• 54:17
  [SPEAKER_02]: So you're not going to find an AI model that's trying specifically to solve your business context, but you can't use an AI model to become aware of your business context, but still use your human thinking to figure out a solve your problem.
• 54:29
  [SPEAKER_02]: And that's also what I help people do, too.
• 54:31
  [SPEAKER_03]: Make sense.
• 54:32
  [SPEAKER_03]: Yeah, make sense.
• 54:33
  [SPEAKER_03]: A quick gem I do want you to give people because you know, everybody's always online, you know, they're looking for help.
• 54:39
  [SPEAKER_03]: How are you able to create a website in six minutes?
• 54:42
  [SPEAKER_03]: Just give people a quick rundown.
• 54:44
  [SPEAKER_03]: I don't know how they're able to do that.
• 54:47
  [SPEAKER_02]: Yeah, if you want to use a website like lovable, I use a different workflow.
• 54:51
  [SPEAKER_02]: So my workflow, I don't know what your audience is like.
• 54:54
  [SPEAKER_02]: My workflow is like the easiest.
• 54:56
  [SPEAKER_03]: Okay, easy, easy, easy, easy, easy, easy.
• 54:57
  [SPEAKER_03]: It's way possible.
• 54:59
  [SPEAKER_03]: Build a website in six minutes.
• 55:02
  [SPEAKER_02]: lovable, lovable.dev.
• 55:06
  [SPEAKER_02]: So what would you do?
• 55:07
  [SPEAKER_02]: Honestly, it's just like chat GPT, but it gives you a nice interface on the right hand side.
• 55:12
  [SPEAKER_02]: So as you're talking to the model, it's actually building out the website for you and you get that visual feedback and you can go back and forth.
• 55:19
  [SPEAKER_02]: So this is gonna be a shameless plug.
• 55:20
  [SPEAKER_02]: The company that I like the most is whisper flow right now.
• 55:23
  [SPEAKER_02]: They're a dictation tool.
• 55:25
  [SPEAKER_02]: So I speak when I'm interacting with these large language models because it's almost in the name.
• 55:29
  [SPEAKER_02]: If you're interacting with the large language model
• 55:32
  [SPEAKER_02]: slap yourself on the fingers and stop go down low whisper flow so you can speak orders of magnitude faster than you can type so what this that's why we got it done in six minutes yeah we we were literally I just double tapped a button and I spoke about let's go ahead and build out of website for motion and success
• 55:48
  [SPEAKER_02]: And I want you to look at this YouTube and Instagram link just to get some context about what they do.
• 55:53
  [SPEAKER_02]: And go ahead and build a website for us.
• 55:55
  [SPEAKER_02]: That's going to look particularly not.
• 55:56
  [SPEAKER_02]: This is exactly what I said.
• 55:58
  [SPEAKER_02]: And once I finish, stop recording press, enter submit.
• 56:02
  [SPEAKER_02]: So lovable.dev is a good place to go.
• 56:04
  [SPEAKER_02]: You use a dictation tool if you want to expedite your AI workflows.
• 56:07
  [SPEAKER_02]: You don't even have to work with me.
• 56:08
  [SPEAKER_02]: I'm going to put you on gain.
• 56:09
  [SPEAKER_02]: It's just expedite your AI workflows.
• 56:12
  [SPEAKER_02]: Lovable.dev if you want to create a website.
• 56:14
  [SPEAKER_02]: Clawed code if you want to know, sorry.
• 56:17
  [SPEAKER_02]: Low, uh, Clawed.
• 56:18
  [SPEAKER_02]: Not Clawed code.
• 56:19
  [SPEAKER_02]: Clawed code is for developers.
• 56:21
  [SPEAKER_02]: Disuse Clawed or chat GPT.
• 56:23
  [SPEAKER_02]: Okay.
• 56:23
  [SPEAKER_02]: And then notion.
• 56:25
  [SPEAKER_02]: Notion.
• 56:25
  [SPEAKER_02]: That's free game right there.
• 56:27
  [SPEAKER_02]: Organize all of your stuff in notion.
• 56:29
  [SPEAKER_02]: Because it already has access to these new AI models.
• 56:32
  [SPEAKER_02]: But if you put all of your company context or whatever project you're working on in notion, when you start speaking,
• 56:38
  [SPEAKER_02]: It maintains all of that additional context for you and it has a nice feature where you can say, now, help me create a new page or a content strategy and go ahead and document everything for me so that when I come back into this particular page, I see all of that.
• 56:51
  [SPEAKER_02]: You don't get that with chat.
• 56:53
  [SPEAKER_02]: Chat, you got to go, what was that conversation?
• 56:55
  [SPEAKER_02]: Or, you got to start a new content.
• 56:57
  [SPEAKER_02]: It's not a visual interface.
• 56:58
  [SPEAKER_02]: Notion is a visual and text-based interface.
• 57:02
  [SPEAKER_02]: I feel like I, I ran my mouth a little bit too long going to those last ones, but I think those are good AI tools for people to use.
• 57:07
  [SPEAKER_04]: Yeah, that's game.
• 57:08
  [SPEAKER_04]: And I'm going to pick that one up for sure, especially that quick six minute video.
• 57:13
  [SPEAKER_02]: That was in the flow.
• 57:14
  [SPEAKER_04]: It's crazy.
• 57:16
  [SPEAKER_04]: Yeah.
• 57:17
  [SPEAKER_04]: Okay.
• 57:18
  [SPEAKER_04]: Yeah.
• 57:18
  [SPEAKER_04]: Any advice that you give like any business owners, you know, just a wrap up, any advice that you give any entrepreneurs or business owners, you know, like that is stuck in, like,
• 57:30
  [SPEAKER_04]: the manual labor, you know, doing everything the old way before pre-AI, you know, like any advice that you give.
• 57:40
  [SPEAKER_02]: Because I understand how AI works underneath the hood, one thing that I would emphasize is don't think about AI's as being this magic box that
• 57:52
  [SPEAKER_02]: Well, it's damn near magical.
• 57:53
  [SPEAKER_02]: I'm not even gonna hold you.
• 57:54
  [SPEAKER_02]: I should find a different way of expressing it.
• 57:56
  [SPEAKER_02]: It's actually quite magical, but underneath the hood, it's mathematics.
• 58:03
  [SPEAKER_02]: And when's the last time you looked at a mathematical equation and said, man, that shit look pretty sentient, you don't do that.
• 58:09
  [SPEAKER_02]: You say that's kind of complex.
• 58:11
  [SPEAKER_02]: And it might achieve something that we'd like to model like a mathematical equation for gravity or planetary bodies orbiting around the sun.
• 58:19
  [SPEAKER_02]: Like we might have a mathematical equation that tells us how something behaves in reality, but we don't go.
• 58:26
  [SPEAKER_02]: That thing is intelligent, but it's approximating something that us intelligent creatures are trying to model.
• 58:35
  [SPEAKER_02]: If that makes it.
• 58:36
  [SPEAKER_02]: Don't be afraid of AI.
• 58:38
  [SPEAKER_02]: I think you should embrace artificial intelligence, but don't use it for nefarious purposes.
• 58:43
  [SPEAKER_02]: That's definitely a no-go.
• 58:45
  [SPEAKER_02]: And if you get yourself set up with somebody's AI tools, you'll find that you'll be able to expedite a lot of your workflows.
• 58:50
  [SPEAKER_02]: And don't think about it as something that's going to replace humans.
• 58:55
  [SPEAKER_02]: I like humans.
• 58:57
  [SPEAKER_02]: Don't want to replace humans at all.
• 58:59
  [SPEAKER_04]: I mean, that might be very controversial now.
• 59:01
  [SPEAKER_04]: Day still because I know my Facebook and just, you know, dropped off.
• 59:06
  [SPEAKER_04]: And then also, yeah, I wanted to add this to, you know, like, for example, the other day, I think out of out in California, um, you familiar with Waymo from Georgia.
• 59:17
  [SPEAKER_02]: See, I skipped an interview with Waymo.
• 59:18
  [SPEAKER_02]: Yeah.
• 59:19
  [SPEAKER_02]: Okay.
• 59:19
  [SPEAKER_02]: So, look, hopefully, don't see it.
• 59:22
  [SPEAKER_04]: So wait moments basically for the people that I don't know is a self-driving car like there's no human operating in the car, it is a computer-generated AI system, whatever.
• 59:35
  [SPEAKER_04]: And literally the other day, there was a huge traffic jam of mad, way more cars.
• 59:43
  [SPEAKER_04]: literally just stopped in the middle of the street like and then there was another video like days before like what it does and and people just jumping out the car like oh there another another one of these days so basically the way Mo was stopped in front of like one of those like those trolleys those trolley trains out in California and literally held up traffic for hours and hours and hours
• 1:00:08
  [SPEAKER_04]: You know, the fact that we have self-driving cars, we have self-driving cars, we got all kinds of stuff, you know, we got everything, like do you think is going to take away like people's
• 1:00:24
  [SPEAKER_04]: Like, humans, because I mean, you know, people, just cat drivers, just people that do Uber for a living, just people that, they, they even if you go to Miami, they got, they got self, carts that are literally, you put the food inside of a cart.
• 1:00:39
  [SPEAKER_04]: Yeah.
• 1:00:40
  [SPEAKER_04]: And it delivers it blocks and blocks and blocks to a person's house.
• 1:00:45
  [SPEAKER_03]: Like, it's crazy and you know, it just kind of reminded me to what I heard.
• 1:00:48
  [SPEAKER_03]: It was like, I think it was maybe Amazon, um, they were training the AI robots, and if he was like, you're actually training your replacement, but the companies incentivizing them to train these, these robots, and these people, they're probably going to pay high wages, but it's like, people like you're training your replacement right there.
• 1:01:07
  [SPEAKER_04]: Yeah, it's crazy.
• 1:01:09
  [SPEAKER_04]: And, and to add on to this too now,
• 1:01:12
  [SPEAKER_04]: When I was working in McDonald's, when I was in high school, that's when they just started implementing kiosk, like self-check out for McDonald's, bro.
• 1:01:24
  [SPEAKER_04]: Like, so is it really safe to say that AI won't replace us?
• 1:01:31
  [SPEAKER_04]: Or based off for all these little hints and all these little things that we see in,
• 1:01:39
  [SPEAKER_02]: Well, she has to us.
• 1:01:40
  [SPEAKER_02]: Can I answer that in two aspects?
• 1:01:42
  [SPEAKER_02]: I'm so sure.
• 1:01:43
  [SPEAKER_02]: Short time horizon and long time horizon.
• 1:01:45
  [SPEAKER_02]: Short time horizon.
• 1:01:47
  [SPEAKER_02]: AI, is it replacing you as recruiting you?
• 1:01:49
  [SPEAKER_02]: That's what I'm pointing.
• 1:01:51
  [SPEAKER_02]: Long time horizon, be quite frank.
• 1:01:53
  [SPEAKER_02]: I'm not too sure.
• 1:01:55
  [SPEAKER_02]: And to answer it philosophically, because this is, I've authenticated about this for quite some time.
• 1:02:01
  [SPEAKER_02]: AI, in any human endeavor, you can do one of three things.
• 1:02:04
  [SPEAKER_02]: You can say, I'm going to seek to do that endeavor worse.
• 1:02:08
  [SPEAKER_02]: No human does that.
• 1:02:09
  [SPEAKER_02]: No logical human seeks to do something that they want to pursue worse.
• 1:02:13
  [SPEAKER_02]: Doesn't make any sense.
• 1:02:15
  [SPEAKER_02]: You can seek to do that endeavor the exact same way you're doing it.
• 1:02:19
  [SPEAKER_02]: Logically speaking, you only do that, but you don't know how to do it better.
• 1:02:22
  [SPEAKER_02]: Just going to do it the same way you're doing it.
• 1:02:24
  [SPEAKER_02]: And then the final one is you want to seek to do that endeavor better.
• 1:02:28
  [SPEAKER_02]: We just will happen to be in a case where seeking to do AI better is a situation where if you advanced that far enough, that type of technology doing that better could effectively replace a lot of people.
• 1:02:41
  [SPEAKER_02]: So when you do that thought experiment, thought experiment, philosophically speaking,
• 1:02:46
  [SPEAKER_02]: I hope I'm wrong.
• 1:02:47
  [SPEAKER_02]: I was talking to my roommate about this because it was like a couple of weeks for I was I did the start experiment.
• 1:02:51
  [SPEAKER_02]: I'm like man there's no point in me working.
• 1:02:54
  [SPEAKER_02]: Just be a strength transparent.
• 1:02:56
  [SPEAKER_02]: I was like Vincent.
• 1:02:57
  [SPEAKER_04]: I was like I was working.
• 1:02:59
  [SPEAKER_02]: I was like anything that I'm pursuing right now.
• 1:03:02
  [SPEAKER_02]: If you think on a long enough time horizon.
• 1:03:05
  [SPEAKER_02]: If AI is going to become the thing that people in my field are saying is going to become, why am I spending my time getting better at AI or market, like if this thought experiment, this is where it took me.
• 1:03:18
  [SPEAKER_02]: So if AI were to be that sufficiently advanced today, what would I do with my time?
• 1:03:25
  [SPEAKER_02]: Like it would replace everything that I could do because there's
• 1:03:31
  [SPEAKER_02]: So I don't know if it's fair if I'm being transparent and of course I still want you all to work with me because I think there's some benefit we can capture today Why these tools are still here, but if I'm being transparent.
• 1:03:41
  [SPEAKER_02]: I don't know I don't know what the future looks like for a yeah, but I will say if it does end up replacing me
• 1:03:50
  [SPEAKER_02]: Yeah, had a good run.
• 1:03:52
  [SPEAKER_02]: That's crazy.
• 1:03:57
  [SPEAKER_03]: That's crazy.
• 1:03:58
  [SPEAKER_03]: You know, my last question, bro, is just a little bit about, you know, being black in a tech field.
• 1:04:04
  [SPEAKER_03]: What are some things that you see behind the scenes?
• 1:04:08
  [SPEAKER_03]: Because I'm not even going to lie like, I feel like
• 1:04:13
  [SPEAKER_03]: When it comes to the innovation in the world and things like that, all we really do see is like, you know, not to say like this.
• 1:04:23
  [SPEAKER_03]: But we see a lot of Caucasian whites dominant in the field when it comes to creating all these things.
• 1:04:32
  [SPEAKER_03]: And I don't think it's a it's a knowledge gap, but I don't know what what do you think like like what is some things that you see behind the behind the scenes.
• 1:04:45
  [SPEAKER_03]: You know being black in a text piece.
• 1:04:48
  [SPEAKER_02]: Yeah, I agree with you.
• 1:04:48
  [SPEAKER_02]: I don't think it's a knowledge gap.
• 1:04:51
  [SPEAKER_02]: My experience is it's a. I have to take the same belonging gap.
• 1:05:02
  [SPEAKER_02]: I didn't use to be like this, like I'm from Atlanta, Georgia before I went to Cornell.
• 1:05:07
  [SPEAKER_02]: I wasn't as the amount of books that I've read since I started my PhD to me quite frankly, it's kind of absurd and when I go home, I don't have my accent anymore.
• 1:05:17
  [SPEAKER_02]: I don't sound like I'm from Atlanta anymore because I was balancing, I'm in a new space and I sound like I'm from Atlanta, but also look like an athlete, but I'm like, how do I connect with these people, so I'm
• 1:05:29
  [SPEAKER_02]: It's not even, it's not as simple as it's saying, co-switch, and it's almost like cultural switching.
• 1:05:34
  [SPEAKER_02]: I'm trying to culturally switch, so I can speak to people about mathematics and computer science because growing up, my mother still doesn't know what, I do things with computers, that's what, and that's what she thinks I do, I mean, I do things with computers.
• 1:05:51
  [SPEAKER_02]: But in general, right?
• 1:05:53
  [SPEAKER_02]: So,
• 1:05:54
  [SPEAKER_02]: I think for people who look like us when we get into those spaces like there's a cultural difference and it's so significant because there are not a lot of us in that space and you know when you get into that space.
• 1:06:07
  [SPEAKER_02]: who is that?
• 1:06:08
  [SPEAKER_02]: Why are you joining our group?
• 1:06:10
  [SPEAKER_02]: You don't look like you belong here.
• 1:06:11
  [SPEAKER_02]: You don't sound like you belong here and not that you're trying to sound like you belong here?
• 1:06:14
  [SPEAKER_02]: Something feels off.
• 1:06:16
  [SPEAKER_02]: So for me personally, it's been kind of hard to find other people to work with, to communicate with this stuff about.
• 1:06:24
  [SPEAKER_02]: And I think that's a significant factor.
• 1:06:27
  [SPEAKER_02]: Like, I think I would have been doing my PhD maybe two years ago if I had a better community of support.
• 1:06:33
  [SPEAKER_02]: Somebody who is like, sit down and be like, hey, Daryon, I'm your, like, no, no disrespect to my lives, but like, let's just sit down and do math together.
• 1:06:40
  [SPEAKER_02]: Listen, well, this is narrowed out together instead of like, okay, this is what you need to be done and let me know your results three, four weeks from now.
• 1:06:48
  [SPEAKER_02]: I'm like, come to find out.
• 1:06:50
  [SPEAKER_02]: They're, they'll shade to nobody because I'm not, I'm not complaining about life.
• 1:06:54
  [SPEAKER_02]: I'm a figure out.
• 1:06:55
  [SPEAKER_02]: And that's the resilience part, kind of helps build my character to become to find out there are certain people who's advisor.
• 1:07:01
  [SPEAKER_02]: Advise your relationships, the advisor will write a significant portion of their students' paper for them and they'll let the student capture the majority of the credit.
• 1:07:10
  [SPEAKER_02]: You know what that does for your career?
• 1:07:13
  [SPEAKER_02]: That takes you, like if you're a famous professor, you have a new student, your student smart, and then you have the right papers,
• 1:07:18
  [SPEAKER_02]: But you write the majority of the paper, but you let them capture the majority of the intellectual value by letting their name appear first on that.
• 1:07:26
  [SPEAKER_02]: That changes you for better.
• 1:07:30
  [SPEAKER_02]: And I don't.
• 1:07:31
  [SPEAKER_02]: I haven't had that.
• 1:07:32
  [SPEAKER_02]: I'm not saying I want it, but I can just.
• 1:07:34
  [SPEAKER_02]: Yeah.
• 1:07:35
  [SPEAKER_02]: Do you actually have a very deep question and I'm not trying to be succinct, but it's also making me.
• 1:07:43
  [SPEAKER_03]: Yeah, no that's a good response.
• 1:07:46
  [SPEAKER_03]: That's a good response.
• 1:07:47
  [SPEAKER_03]: I had the accident too because you know, I I see it.
• 1:07:50
  [SPEAKER_03]: I see it all the time and I even seen a meme like this randomly and it was like a guy.
• 1:07:55
  [SPEAKER_03]: He was doing an interview.
• 1:07:56
  [SPEAKER_03]: Maybe it was like online.
• 1:07:59
  [SPEAKER_03]: It was like maybe on I don't know if it was on zoom, but
• 1:08:01
  [SPEAKER_03]: Whatever it was, it was like more so audio than it'd been on video and he was like that he answered all the questions, right?
• 1:08:09
  [SPEAKER_03]: It was like, it doesn't mean, but oh, yeah.
• 1:08:11
  [SPEAKER_03]: And then he's like, he's trying to figure out what he's like, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah
• 1:08:23
  [SPEAKER_03]: And still, they might not want to hire you just because, you know, which is crazy.
• 1:08:31
  [SPEAKER_02]: And I give you a quick story.
• 1:08:32
  [SPEAKER_02]: I know we're finishing up.
• 1:08:33
  [SPEAKER_02]: And this is why I want to go, because at this point, I'm like, I've done the internships.
• 1:08:37
  [SPEAKER_02]: I've proven myself, not only to them, but I'm finally at a point where I'm like, I've proven myself to myself.
• 1:08:42
  [SPEAKER_02]: If I find a way to be able to subsidize this and go all in, I'll try to provide value for other people, I'm going to spend my life working on that.
• 1:08:49
  [SPEAKER_02]: I had an interview with a startup.
• 1:08:53
  [SPEAKER_02]: The recruiter reached out to me.
• 1:08:56
  [SPEAKER_02]: Don't even know y'all.
• 1:08:57
  [SPEAKER_02]: Y'all reached out to me because you saw my late-day.
• 1:09:00
  [SPEAKER_02]: Bet I'm finishing up my PhD, but let's go ahead and sketch with the interview.
• 1:09:03
  [SPEAKER_02]: I do five interviews.
• 1:09:07
  [SPEAKER_02]: Fah, not, not behavior.
• 1:09:09
  [SPEAKER_02]: Tell me about a time, technical interviews, where they have you code on the fly in arbitrary problem that you're not going to know in advance and they're sitting there and looking at you and saying, now you saw this in 45 minutes.
• 1:09:21
  [SPEAKER_02]: Ask a question if you need it like that's what they're doing like it's almost like a haze and I will let me My fraternity is a non hazing organization, but it's almost like a haze and I pass all five of those interviews
• 1:09:37
  [SPEAKER_02]: and I have a conversation with the CEO at the end.
• 1:09:40
  [SPEAKER_02]: And everything feels like Gucci, like I'm thinking, is smoothly gave me his personal phone number.
• 1:09:45
  [SPEAKER_02]: Everybody said they love me.
• 1:09:47
  [SPEAKER_02]: They reached back out like three or four weeks later.
• 1:09:49
  [SPEAKER_02]: Sorry, we're not going to be able to extend the opportunity right now due to the changing economic circumstances.
• 1:09:55
  [SPEAKER_02]: But we know you're going to be a phenomenal machine learning researcher in the future.
• 1:09:58
  [SPEAKER_02]: And I'm like, why did y'all reach out to me?
• 1:10:03
  [SPEAKER_02]: have me go through five interviews, and I passed all of them just for you to say, eh, something like at this point where I'm like, as long as I find a way to pay my bills, like my rent, my food for the month, and ideally if I can do that for a year, I'm going to just go all in on myself and figure out how I can provide that to the world.
• 1:10:26
  [SPEAKER_02]: That, because that one, I'm not going to let that one hurt me, because after a date they reached out and I learned about the product, I was really excited about the product.
• 1:10:34
  [SPEAKER_02]: Like, so I was really excited about, I was like, I want to work on this with you all.
• 1:10:37
  [SPEAKER_02]: You know, like, now we get off you.
• 1:10:39
  [SPEAKER_02]: Yeah, so it's like, okay.
• 1:10:42
  [SPEAKER_04]: It's great, it sounds like Facebook's doing it, you know, like, what's it, what's it doing name from Facebook, Mark Zuckerberg, they in a college dorm room, you know, just clicking up software, clicking, clicking, clicking, clicking.
• 1:10:58
  [SPEAKER_04]: I literally like, they're not worried about nothing but Facebook.
• 1:11:02
  [SPEAKER_04]: Yeah, I'm getting it.
• 1:11:03
  [SPEAKER_04]: Let's go all the way.
• 1:11:04
  [SPEAKER_04]: Getting it big.
• 1:11:05
  [SPEAKER_04]: And I think I've seen another video the other day where I think the founder of YouTube, there was like, yo, we have about what 60 videos and it's like, yo, we still didn't hit.
• 1:11:15
  [SPEAKER_04]: It was this aging guy, I think.
• 1:11:17
  [SPEAKER_04]: And it's like,
• 1:11:18
  [SPEAKER_04]: He kind of got a little discouraged, but he still kept going and look at what YouTube is, you know, what it is now, you know, so yeah, going through that, that, that, that time period is always before you.
• 1:11:31
  [SPEAKER_04]: But my last question to close this off is, you know, because we started off with saying, hey, listen, you know, for you, you knew, you almost knew that this time will come, but you thought it was going to come and use probably like six years old, you know, when I'm speaking,
• 1:11:45
  [SPEAKER_04]: Specifically AI, you knew it was going to come, but it came way faster than you expected.
• 1:11:51
  [SPEAKER_04]: So my question is, you know, now that is here, and you see the fruits of the labor, what do you think is going to head in the next 10 years from now?
• 1:12:02
  [SPEAKER_04]: You know, we probably might watch this episode.
• 1:12:04
  [SPEAKER_04]: My yo, like, AI is actually doing this now.
• 1:12:07
  [SPEAKER_04]: I wish it those.
• 1:12:09
  [SPEAKER_02]: I have thoughts in forgive me if they come off a bit abstract, but let's think about the notion of computation.
• 1:12:18
  [SPEAKER_02]: Like to compute something, that's what computers do.
• 1:12:21
  [SPEAKER_02]: They compute numbers and they do useful things for us.
• 1:12:23
  [SPEAKER_02]: AI is at a space where the notion of creating code has been commoditized.
• 1:12:28
  [SPEAKER_02]: The fact that we created a website in six minutes instead of six weeks,
• 1:12:32
  [SPEAKER_02]: that collapsed the amount of time it took to do effective compute.
• 1:12:37
  [SPEAKER_02]: Does that make sense?
• 1:12:38
  [SPEAKER_02]: Yeah.
• 1:12:39
  [SPEAKER_02]: Effective compute in a sense of creating a website.
• 1:12:41
  [SPEAKER_02]: I think we're going to get to a point where any idea that you want to express digitally.
• 1:12:46
  [SPEAKER_02]: As long as you can clearly communicate that to an artificially intelligent system, you'll be able to create a working prototype nearly instantaneously.
• 1:12:55
  [SPEAKER_02]: Now, of course, the laws of physics are going to come into place and the electrons or your transistors have to move at a certain rate, so it's not going to be nearly instantaneously.
• 1:13:03
  [SPEAKER_02]: But we're going to get to a point where you can just clearly express your thought as a not technical person.
• 1:13:09
  [SPEAKER_02]: what you'd like to create and as long as this on a digital interface, you'll be able to get a prototype just from speaking.
• 1:13:15
  [SPEAKER_02]: And we're already there right now but you have to go back and forth.
• 1:13:19
  [SPEAKER_02]: I think we're going to get to a point where we just clearly express your intent once.
• 1:13:23
  [SPEAKER_02]: It'll create it.
• 1:13:25
  [SPEAKER_02]: And that's just the start.
• 1:13:27
  [SPEAKER_02]: Yeah.
• 1:13:27
  [SPEAKER_02]: Yeah.
• 1:13:28
  [SPEAKER_02]: And what that does is it frees you up.
• 1:13:30
  [SPEAKER_02]: It frees you up to think about things that I think are worth thinking about.
• 1:13:34
  [SPEAKER_02]: I don't know what those things are because most of the things I think about our math and computer science, but for people who aren't in this space.
• 1:13:40
  [SPEAKER_02]: for actually, yeah, I don't know what that's.
• 1:13:43
  [SPEAKER_02]: All I think about is math and computer science and health and love.
• 1:13:46
  [SPEAKER_02]: Okay.
• 1:13:46
  [SPEAKER_03]: But yeah.
• 1:13:48
  [SPEAKER_03]: This was a great episode, man.
• 1:13:50
  [SPEAKER_03]: It was.
• 1:13:50
  [SPEAKER_03]: And before you wrap it by Duke I'd have mentioned, you definitely was one of the first students in the one podcast where university you took on the opportunity and you know, to have you here in person.
• 1:14:02
  [SPEAKER_00]: Yeah.
• 1:14:03
  [SPEAKER_03]: Definitely, it definitely was great.
• 1:14:07
  [SPEAKER_03]: Definitely want you to take on some of the things you learn while being in the university, you know, how helped you.
• 1:14:13
  [SPEAKER_03]: You came on a podcast, you killed it.
• 1:14:15
  [SPEAKER_03]: You guys came on and definitely killed it.
• 1:14:18
  [SPEAKER_03]: I feel like this one, the people are going to resonate with.
• 1:14:21
  [SPEAKER_03]: So like just tell the people a little bit about what you learn.
• 1:14:24
  [SPEAKER_03]: Yeah, you know, some of the benefits that you got from the program.
• 1:14:27
  [SPEAKER_02]: The first thing I learned primarily is I make too many excuses when it comes to making content because I think
• 1:14:35
  [SPEAKER_02]: although implementation wise, it can't be harder than doing AI.
• 1:14:39
  [SPEAKER_02]: If you just, if I get real with myself, so one of the things that you have to think about, or one of the things you taught me to think about is when you're doing things that you're typically doing, have a camera record the things that you're doing that you already know how to do well and create content around that.
• 1:14:54
  [SPEAKER_02]: I still don't have my content strategy put together and I'm in AI, so I should probably use AI to create up.
• 1:15:01
  [SPEAKER_02]: I'm bored if I had to be quite transparent.
• 1:15:06
  [SPEAKER_02]: Another thing that I like, so I just got on your school, so that community is still being built, but I haven't gone through all the videos yet, but this notion of creating viral content and how one viral piece of content can actually change your life, not because the content was viral and you would track that all of these eyes, but if you actually provide value, you have something that's of service to people, and then you have a viral piece of content around that thing that links to things that actually provide
• 1:15:30
  [SPEAKER_02]: That's the thing that can change your life.
• 1:15:32
  [SPEAKER_02]: And it made me think about social media differently.
• 1:15:34
  [SPEAKER_02]: I was telling my buddy, I think social media is stupid.
• 1:15:37
  [SPEAKER_02]: Like literally a year ago.
• 1:15:38
  [SPEAKER_02]: I was like, I think it's stupid, but not at the working with you all that have a different perspective.
• 1:15:42
  [SPEAKER_02]: In some sense social media is marketing.
• 1:15:44
  [SPEAKER_02]: Yeah.
• 1:15:45
  [SPEAKER_02]: Before I just thought, my wife, I'm not going to be dancing on TikTok in.
• 1:15:49
  [SPEAKER_02]: Yeah, my wife, my wife, my wife.
• 1:15:51
  [SPEAKER_02]: What am I doing, bro?
• 1:15:52
  [SPEAKER_04]: Yeah.
• 1:15:52
  [SPEAKER_02]: But you guys have fundamentally changed how I think about social media even though I'm not acting as quickly as you'd like Because it's called you say you you words that where's that content there?
• 1:16:02
  [SPEAKER_02]: I'm like I promise you.
• 1:16:03
  [SPEAKER_03]: I'm getting to it Yeah, but I'm excited man, you know what I mean this is this right here is like it's probably gonna content content from this is probably gonna last you like a month That's so so so But definitely this is a it was great me you bro
• 1:16:21
  [SPEAKER_03]: Um, and definitely I appreciate how you broke it down to the whole AI, you know, what's going on in the world like I'm pretty show people people going.
• 1:16:28
  [SPEAKER_02]: They're going to rock with this one and can I actually all a question just before we ended this slide and we're trying to favor and what made you all think about creating the one podcast away university because our money had exposed me to your pocket.
• 1:16:46
  [SPEAKER_02]: I bought it like literally as y'all were talking about it because I'm like this is so new to me And I'm somebody who's about action.
• 1:16:52
  [SPEAKER_02]: I'm like as soon as I heard y'all speak I'm like I want to work with y'all.
• 1:16:55
  [SPEAKER_02]: I didn't know I was the first person.
• 1:16:57
  [SPEAKER_02]: Yeah I thought you had an existing like the way you brought I thought it was a establish, but I thought about the be like the 100th student Yeah, the 200th student.
• 1:17:08
  [SPEAKER_04]: You like congratulations there He like we got his a
• 1:17:16
  [SPEAKER_04]: ah, but to think about it, it goes back to, you know, for example, or money, you know, shots of your money, that's how, you know, we met, um,
• 1:17:27
  [SPEAKER_04]: it literally takes one podcast you know what I mean like it only takes one and for example of money it was one for him he came on the show and you know he gave game just like how you gave game he gave value just like how you gave value and literally that one podcast um really the month later he was able to make $20,000 for in his business yeah so it literally just takes one podcast yeah I mean um it may not be your first podcast that you record it may not be the
• 1:17:58
  [SPEAKER_04]: It just takes one, it really just takes one for you to really, really hit.
• 1:18:02
  [SPEAKER_04]: And that's where it kind of came up.
• 1:18:05
  [SPEAKER_04]: But we didn't have too many success stories for us to not have it here.
• 1:18:11
  [SPEAKER_04]: So, you want to share it with me?
• 1:18:12
  [SPEAKER_03]: Yeah, and then also just to add is like, when we first started, a lot of people was like, how, yeah, I grew up so fast.
• 1:18:19
  [SPEAKER_03]: Like me and Cody, it's been like a two-man business.
• 1:18:24
  [SPEAKER_03]: And we were able to grow exponentially.
• 1:18:27
  [SPEAKER_03]: So life people's looking at what the hell are these guys doing that?
• 1:18:31
  [SPEAKER_03]: That's working for them.
• 1:18:32
  [SPEAKER_03]: Yeah, I've been podcasting for five years eight years
• 1:18:35
  [SPEAKER_03]: And he's doing, they blown past this.
• 1:18:37
  [SPEAKER_03]: So we just realized the power of podcast and early on, people come on our show, they'll speak.
• 1:18:44
  [SPEAKER_03]: And these are people who, they might not be the best that content, it might not be.
• 1:18:48
  [SPEAKER_03]: But they're able to, like, for example, like you, you're able to sit down and have a conversation.
• 1:18:54
  [SPEAKER_03]: No, I can't help this much.
• 1:18:56
  [SPEAKER_03]: But they're able to sit down and have a conversation.
• 1:18:59
  [SPEAKER_03]: And you know, you're like,
• 1:19:00
  [SPEAKER_03]: Whoa, like this person knows a lot more than you would even think like you know, so a lot of people come on They give value and that's one thing we emphasize without content a lot of people are coming on shows because People get value from the content so we learn that value content is
• 1:19:18
  [SPEAKER_03]: the best way to market yourself, so yeah definitely like we we realize that early on so then we like you know if if we could go out and teach people this because most people still don't they still don't know that they still gonna buy a cash fund you know and it's cool you could do that but
• 1:19:36
  [SPEAKER_03]: It's a lot of money and it's a lot of people that you can reach if you just are able to say the right things When it's not just podcasting but content, you know, all of these things it helps nurture your your target audience And brings you traffic as well.
• 1:19:53
  [SPEAKER_03]: So Because we got to teach this we got to teach this game, and you know, we started
• 1:19:59
  [SPEAKER_03]: Not too long ago, but, you know, we already gained some client success and, you know, more is going to come.
• 1:20:06
  [SPEAKER_03]: It's going to be, it's definitely going to take over 2026 for sure.
• 1:20:10
  [SPEAKER_02]: I appreciate the value content.
• 1:20:12
  [SPEAKER_02]: That trigger something in me.
• 1:20:14
  [SPEAKER_02]: because I put it in a work value behind content and immediately has a education.
• 1:20:20
  [SPEAKER_02]: Right.
• 1:20:21
  [SPEAKER_02]: I already teach people when I met my university.
• 1:20:24
  [SPEAKER_02]: What's putting a camera up as I teach to provide you.
• 1:20:27
  [SPEAKER_02]: Exactly.
• 1:20:28
  [SPEAKER_02]: Free knowledge.
• 1:20:28
  [SPEAKER_02]: Not even asking it for anything.
• 1:20:30
  [SPEAKER_02]: Yes, but I want to teach you.
• 1:20:31
  [SPEAKER_04]: And then other people might enjoy like they would geek out just like exactly.
• 1:20:37
  [SPEAKER_04]: Exactly.
• 1:20:41
  [SPEAKER_04]: Like oh shit,
• 1:20:44
  [SPEAKER_04]: Why y'all y'all gonna literally talk on the phone all day and yeah, just as much.
• 1:20:49
  [SPEAKER_04]: Yeah, that's early, but um, yeah, man That's how we started one podcast the way you university.
• 1:20:56
  [SPEAKER_04]: Yeah, yeah, man This was an amazing podcast bro.
• 1:21:02
  [SPEAKER_04]: I appreciate you coming through tell the people how can they find you and we could close off from there
• 1:21:07
  [SPEAKER_02]: Yeah, you can find me on Instagram at the real AI King, the real.ai.king.
• 1:21:13
  [SPEAKER_02]: You can find me at dairyand.ai.
• 1:21:17
  [SPEAKER_02]: If you want to look in assessment, I created a discount code for this particular session.
• 1:21:22
  [SPEAKER_02]: So it's going to be 26% off of the first 26 people.
• 1:21:26
  [SPEAKER_02]: So whether you want to book the mini-added or you want to go with the full AI command center build out, the first 26 people get 26% off.
• 1:21:33
  [SPEAKER_02]: And I'm going to be on YouTube pretty soon, because I'm the first student, well, I can't ask the way you're university.
• 1:21:40
  [SPEAKER_02]: If I don't put that value content out there, they might, they might kick me out of the university.
• 1:21:45
  [SPEAKER_02]: I'm trying to get a 4.0.
• 1:21:47
  [SPEAKER_02]: That's where you can find me.
• 1:21:48
  [SPEAKER_04]: okay all right cool man so again my again you guys this was an amazing episode appreciate each you guys for literally sticking all the way over to the end this is the amazing content this podcast was nearly jam-packed a lot of game and a lot of value but don't forget to like comment share and subscribe and
• 1:22:06
  [SPEAKER_03]: And tune in guys, you know, we out there putting out content on a weekly basis and listen, if you are struggling with content, you don't know what to post online, join the one podcast with University.
• 1:22:19
  [SPEAKER_03]: If you're going to drop the link in the bio, as well as Dorian's, you know, to the app.
• 1:22:23
  [SPEAKER_03]: So you guys can, you know, be technically fit in the discount code is motion.
• 1:22:29
  [SPEAKER_02]: I forgot the mission.
• 1:22:30
  [SPEAKER_02]: It's got a code motion.
• 1:22:31
  [SPEAKER_02]: The motion.
• 1:22:31
  [SPEAKER_02]: Stay in motion.
• 1:22:32
  [SPEAKER_02]: But just motion.
• 1:22:34
  [SPEAKER_04]: Motion motion motion.
• 1:22:35
  [SPEAKER_04]: There you guys have it.
• 1:22:36
  [SPEAKER_04]: I'll see you guys on the next episode.
• 1:22:37
  [SPEAKER_04]: Peace.
• 1:22:38
  [SPEAKER_04]: She does this.