Ep 304: Preparing Today’s Kids for the AI Future

Episode Categories:

Advancing Toward an AI-Centric World

Artificial intelligence (AI) is no longer a futuristic concept; it's here, set to revolutionize various industries completely. With significant advancements achieved by tech giants, the automation capacity of AI promises transformative changes in the workplace. A subtle but noteworthy revolution is happening within the AI field, with a new AI model rolled out to identify flaws in code and partnerships forged to make content accessible and adaptable to new models.

Building a Future-Proof Generation through AI Education

The future belongs to those who can leverage artificial intelligence. Hence, incorporating AI education into schools and coding programs is critical, given the technology's rapid evolution. While adopting AI in education has understandably been a polarizing issue, with some schools banning it altogether, it's clear that those fully embracing it are gaining an edge.

Coding and AI skills have become invaluable, even crucial, for the younger generation. Despite many differing opinions, it's clear that introducing such skills early on is essential to compete in an AI-dominated future. There are challenges to ponder, like AI's current capabilities and its application in educational settings. Yet, the future seems bright, with forecasts predicting AI to become much simpler to use, expanding its range of users.

Reaping the Rewards of AI Integration

AI has the potential to bring numerous benefits to educational systems, having a notable impact on teacher attrition rates by automating mundane tasks. It's crucial to realize AI's potential for positive impact and embrace it accordingly. The role of AI in education has become increasingly evident, with several AI platforms seeking to aid educators amidst a rapidly digitalizing world.

Product and business ideas are blooming as off-the-shelf AI models become more accessible. Coupled with today's increasingly internet-savvy youth, we can expect groundbreaking entrepreneurial journeys to unfold. This possibility has led to the development of innovative courses geared towards equipping the young with AI skills pertaining to business ideas and planning.

Industry and Academia

There's an immediate need for industries and colleges to amplify the urgency of equipping the younger generation with AI skills. The slow technology adoption rate of schools shows the need for external pressure to implement AI education. This call to action isn't merely for educators; parents should also encourage schools to adopt AI education and use online AI education resources for kids.

Nurturing Essential Skills for an AI-Dominated Future

Creativity, problem-solving, and ingenuity—these are crucial skills that children should harness as they prepare for an AI future. These 'soft' skills, in tandem with technical knowledge such as working with APIs, developing personalized recommendation systems or creating game assistants, are the elements that will set the younger generation apart in an automated world.

In the swift tide of digital transformations, the ethical dimension of AI should not be dismissed. The future rest on the shoulders of those who can understand and navigate the ethical considerations tied to AI.


For businesses, the water's clear: AI is inevitable. Hence, preparing today's youth can be seen as the most sustainable strategy for our shared future. The AI revolution is underway, and those who adapt will no doubt oversee the next stage of human evolution. It's of utmost importance to continue learning, sharing knowledge, and contributing to resources educating and preparing today's kids for the AI future.

Topics Covered in This Episode

1. Role of AI in Education
2.  Importance of early AI Education
3. Ways to Incorporate AI Education
4. Ethical and responsible teaching of AI
5. Technical skills and Applications of AI for Kids

Podcast Transcript

Jordan Wilson [00:00:16]:
Do you know how today's kids kind of call them the smartphone generation? Right? Always heads down, never really able, I think, to converse in a way that older adults do. But they were raised on smartphones. But in the future, should we be worried about them using too much AI, and and what are the actual skills that they should be learning now to prepare to live in a future full of AI? Alright. We're gonna be talking about that today and more on everyday AI. This is your daily livestream podcast and free daily newsletter helping everyday people learn and leverage generative AI to grow their companies and to grow their careers. So if that sounds like you, thank you for joining us. We do this, like I said, every day, so make sure to go to your everydayai.com. Sign up for the free daily newsletter.

Jordan Wilson [00:01:04]:
There, you can also go back and read and listen to more than 300 episodes where we've covered just about everything you can think of when it comes to generative AI. Alright. Before we get into today's discussion, we're gonna start, though, as we do every day by going over the AI news. So the Japanese company SoftBank is going all in on AI. So SoftBank Group Corp raised $1, 800, 000, 000 through bond sales to expand investment in artificial intelligence, making it 1 of the biggest foreign currency deals by a Japanese company this year. So SoftBank's bond offering indicates a growing trend of Japanese companies increasing overseas debt deals to focus on AI. And these funds will be used to retire debt and fund operations, highlighting SoftBank's commitment to AI investments. So really worth keeping an eye on what SoftBank is investing in, but it looks like, the Japanese company is trying to make a huge splash here in the US with AI investments.

Jordan Wilson [00:02:04]:
Alright. Next. Well, actually, next and last, we have 2 separate ChatGPT stories. Well, OpenAI has released a new model meant to critique its own model and also signed a huge partnership with a legacy media company. So OpenAI researchers have developed critic GPT, a new AI model that helps identify flaws in code generated by ChatGPT and other models, models, ultimately improving the process of making AI systems behave as desired. So critic GPT, yeah, it's kind of they created a model to police its own model and make it better, but it uses reinforcement learning from human feedback or RLHF to assist human reviewers in catching errors, in responses generated by their ChatGPT model. So this model has shown promising results so far in identifying both internal and natural errors, you know, better spotting hallucinations than just humans alone or just the critic GPT alone. So, you know, all the benchmarks are showing obviously the combination of critic GPT and human working together, does the best in, you know, having a better output with fewer hallucinations.

Jordan Wilson [00:03:13]:
Also, what we said there, Time Magazine and OpenAI have formed a huge multiyear partnership to make Time's archives and current content accessible to ChatGPT and OpenAI. So the deal helps expand access to trusted information and follows similar partnerships other media companies have made with OpenAI, such as the Financial Times, such as Axel Springer, you know, Associated Press, etcetera. So, we'll have those stories in a lot more in our newsletter. So make sure to go to your everydayai.com and sign up for that free daily newsletter. Alright. But we're back. We're back live. Yeah.

Jordan Wilson [00:03:50]:
We had a couple couple of glitches today, but that's alright. We're here though to talk about how we can prepare kids, for the AI future. This is something I honestly think about a lot. I don't talk about it a ton on the show, though. So that's why I am very excited, for today's guest so we can talk about it together. So please help me in welcoming to the show David Dodge, the founder and CEO of CodaKid. David, thank you for joining us.

David Dodge [00:04:13]:
I'm thrilled to be here.

Jordan Wilson [00:04:15]:
Alright. Absolutely. So, David, well, first of all, joining us, you know, 5:5:30 AM local time, so thanks for that. But tell us a little bit, about CodaKid and what you all do.

David Dodge [00:04:27]:
CodaKid is a is a kids coding and AI, academy, that's based here in in, Phoenix, Arizona. So we teach kids ages 6 to to 16, how to code, how to build things with AI, how to how to build websites, games, apps. We've been doing it since 2014, and if, basically, we taught over a 100000 students over the last 10 years. Wow.

Jordan Wilson [00:04:52]:
That's that's that's that's pretty amazing. And, you know, I think a very important skill set for kids to, to to learn early on. You know, I'm I'm curious, David, maybe just anecdotally, how you you know, when kind of AI splashed onto the scene, you know, you could say I mean, obviously, AI has been around for a very long time, but I think for the most part, the general public got its first taste of it in November 2022 with ChatGPT. You know, how did you all and and Codakid kind of view this? Right? Because coding is obviously thought of a very technical, you know, a very technical skill set and a great thing, I think, to teach kids early on. But then here you come with AI, you know, almost out of nowhere. You know, what was your initial response, you know, from a CodaKid perspective?

David Dodge [00:05:37]:
I mean, you know, when when the CEO of NVIDIA comes on and basically says, you know, hey. Maybe we're not gonna need to teach coding anymore. You know, we that that got our attention for sure. But, yeah, Yeah. We also though, we we consider ourselves an academy that, that teaches kids emerging technology. And so from the get go, we've done that. When new things are introduced, we we teach it. We we believe that learning, you know, teaching kids how to learn new technologies is 1 of the most important skills for the future for sure, kinda getting into what we're gonna talk about later.

David Dodge [00:06:15]:
But, but, yeah, coding, for sure is, we still believe that it's very important. Yes. It's changing. AI is, you know, going to become code partners. It's gonna help people build things much faster, much better. That said, if you do not have a background in computational thinking and understand the rudiments of of coding, it's, I think it's, gonna be much harder for you to build things, and, we we still see it as a foundational skill.

Jordan Wilson [00:06:44]:
Yeah. I mean, let's let's talk about that. Right? Not quite the elephant in the room because it's something we've talked about

David Dodge [00:06:49]:

Jordan Wilson [00:06:50]:
lot, but I'm glad you brought it up. Yeah. I think, you know, NVIDIA CEO Jensen Huang kind of grabbed headlines a couple of months ago when, you know, someone asked him, hey, about the future. And he said, hey. I don't think, you know, kids should be taught coding. And he also kind of said that it wasn't going to be as important, of a skill set in the future as all of these other systems get smarter. David, what's your overall take on that? Right? Like, not asking you, oh, is he wrong or right or to predict the future? But, you know, as someone that runs, you you know, a coding academy for, you know, thousands of kids, how did you all

David Dodge [00:07:29]:
again, as I as I mentioned earlier, we we still again, as I as I mentioned earlier, we we still think coding is extremely important. You know, having an understanding of foundational understanding of loops and variables and conditionals and and and and whatnot, I think is is, Boolean logic absolutely mission critical in understanding and and being able to use the tools of the future. We also look at, coding as such a fantastic way, when building games and apps. It teaches kids, iterative, design and and, you know, where you actually build something, you you then take it to someone, have them test it. They say, oh, this sucks. Oh, I love this. Like, you you tweak it. You iterate.

David Dodge [00:08:17]:
You you then, you know, you know, complete, that that loop and and basically keep it going. Like, that that is in tomorrow's world in today's world, actually. Schools aren't getting it done, you know, at all in in that terrain, and and, we think that computer programming is is 1 fantastic way to do that.

Jordan Wilson [00:08:39]:
Yeah. And let's let's get into that. And, you know, if you are just joining us a little bit live here, you know, we have, David Dodge, the founder and CEO of CodaKid talking about just the future, of, you know, kids, how they should be using AI, how they shouldn't be. Right? I'm curious. And this is something, David, I think about a lot. Right? So I kind of started the show talking about, you know, kind of the smartphone generation of kids and, you know, is it great that they can, you know, whiz around on a smartphone? Absolutely. Are there downsides? Probably. Right? Their their ability to, you know, maybe interact with other, you know, adults is is something I think about.

Jordan Wilson [00:09:14]:
Are there downsides to, you know, kids being, you know, too AI literate at too young of an age. I mean, what are your thoughts on that?

David Dodge [00:09:23]:
Yeah. I mean, we were talking about this earlier, Jordan. There's a school of thought in education where people are like, look, they're gonna be using AI to write, you know, blogs and whatnot. Like, let them plagiarize now, you know? And and, this is this is the future. And and I'm I'm a little older school. IIII feel that kids' brains are developing, and in order to develop critical thinking and and creativity and and ingenuity, I think that you have to think through, when writing a paper. Maybe you can use AI, to help you frame and do research, but but actually, using it to to connect thoughts and ideas and and whatnot, I I think, is a is can be a disservice. I think that, you know, as you get older, you know, perhaps, you know, not so much, but there's certainly a foundational time, particularly in k 8, where, I I believe kids need, you know, need to develop those skills on their own.

Jordan Wilson [00:10:32]:
You know, speaking of developing skills, I'd say this even for adults. Right? Like, not just coding, but AI in general. I was actually having a conversation with someone about this last night about how a lot of people mid career might have to make a hard pivot and really, you know, kind of go all in on AI. You know, for kids. Right? You know, kids, you know, I think maybe 10 or 15 years ago, if if a kid was learning coding, I think you could be like, oh, wow. You know, this kid is going to have a solid future. They're a great coder. David, what are those skills maybe now, right, that that we look at kids in elementary school, grammar school, etcetera? What are those other skills? Right? Aside from coding, aside from AI, what are those other types of skills that they should be learning to kind of survive and thrive in an AI future?

David Dodge [00:11:21]:
Yeah. Sure. I mean, the the general skills almost sound like things you would learn in a liberal arts, environment. You know, I mean, again, creativity, ingenuity. Those are always in short supply. You hear, you know, companies just constantly looking for that. Problem solving. Again, I don't know how else to phrase it, but value creation.

David Dodge [00:11:46]:
That is something that is not taught in schools. It drives me nuts that it's not. And maybe in business, business oriented classes in high school, you'll start to see that. But that that notion of of of, learning about a gap in the market, a need, a pain point, something that, you know, would allow you to come up with an idea or a product or a service and actually fulfill that. And then, again, try it out, test it, get feedback, change it, tweak it, make it better. I mean, those are those are skills that aren't going away and, that that I think are are, again, mission critical. We can go into specifics on on, what I think are some AI related skills, like things that they can be doing now. But again, as you as you know, I mean, we have no idea really how how things are gonna look in 10 years.

David Dodge [00:12:39]:

Jordan Wilson [00:12:39]:
Yeah. It's it's it's hard enough, like, 10 months, I feel. 10 weeks. Right? But, yeah, maybe, David, let's go into what are some of those more AI related skills. Right? So maybe there's a parent out there and they're, you know, maybe worried about their kids or they really wanna make sure that their kids are learning the right skills that kind of help prepare them for their future. So maybe what are some of those more AI technical related skills? Because I love what you said about, you know, kind of these, you know, creativity, ingenuity, problem solving. That's great. But maybe when we talk about, you know, AI related skills or technical skills, where should kids be focusing kind of their time and energy to to learning these things?

David Dodge [00:13:15]:
Yeah. Sure. You know, you and I were talking earlier about the schools and and and what the schools are basically doing right now. They are starting to I just got back from ISTE in Denver and, which is a big EdTech conference. And and the schools are starting to use, tools like Magic School and k, Flint k 12 and and Merlin Mind and things like that. And but, basically, what I'm seeing, the school's doing is is effectively using, AI for personalized tutoring. In other words, they're they're taking their existing curricula and just making it more personalized and adaptive, for students. It's it which is a great thing.

David Dodge [00:14:00]:
I mean, it it's it's a really good thing. But, you know, we at CodaKid, we take things a little bit further. We're going and doing some things that maybe the schools can't quite do right now. Again, we, we do start, by teaching AI ethics. I mean, it's mission critical, I think, you know, especially for for kids to understand, you know, where we're going with that. We we teach prompt engineering. And by the way, shout out to to you, Jordan. Your PPP course is fantastic.

David Dodge [00:14:35]:
Anybody, who's listening to this that has not taken it, do yourself a favor. Sign up. It's fantastic. But yeah. So so we actually, teach, kind of a PPP style framework that's kind of kidified, if you will. And, you know, other skills, that we're, you know, we're getting into, obviously, we teach coding, and we teach now modern software development. So using AI as a code partner. So we have courses that we're delivering right now and online camps that we've been doing all summer that are enormously popular on, building websites with React and AI, building apps.

David Dodge [00:15:20]:
We were huge fans of of the Roblox platform, and Roblox is really taking the lead, in AI and has has has basically, you know, put, put a model in in in their game creation engine. And so we're creating custom art, and, we're using, its code helper to help create games twice as fast. Our kids are monetizing their games on Roblox Marketplace. It's like, back in my day, it was like, yeah. Let's start a lemonade stand. It's like, these kids know, man. It's awesome. So, other things that we, we're into are, you know, we're we're starting to work with APIs and local models.

David Dodge [00:16:02]:
So we're we're creating, GPT assistance, and we're finding that that's really interesting. Again, kids are not gonna be interested in agents to, help you with your marketing. They they're they're interested. For example, like, 1 cool idea that we're working with right now is to create, like, a a movie media games, like, game recommendation assistant. So it you train it on what they like and don't like, and and and and it basically gives them better recommendations. And then we're building an agent, that, you know, fetches the most recent premiers, in streaming platforms and then serves up these personalized recommendations to to them. Like, you know, cool things like that. So it's again we're we're looking at the kids learning and really diving into to the tech going beyond where schools are able to go right now.

David Dodge [00:17:02]:
And, those are the kinds of skills that we think are are gonna be, important, in tomorrow's world.

Jordan Wilson [00:17:08]:
Yeah. David, it's it's funny you bring up, you know, kids, you know, now monetizing on Roblox. And, yeah, we used to do lemonade stands. Right? Like, I was chuckling, you know, I was chuckling at that because that's what I did, you know, growing up and

David Dodge [00:17:20]:
Me too.

Jordan Wilson [00:17:20]:
I was I was a little dorkier. I actually used to AB test. Right? As a kid, like lemonade stand, I would write down, oh, if I go on this corner, this day, this sign. Right? Yeah. But it's it's it's kind of interesting now. So even talking about kids in coding. Right? I worked with at risk youth for 10 years, and we did a lot of technology programs, STEM team. And, I remember a summer program we did, and it was, like, the entire summer.

Jordan Wilson [00:17:44]:
And the end goal is is if if they could code 1 thing, right, it was a great success. How how can you even keep up now? Right? Because if we talk about, you know, recent, you know, LLM developments, we have in Tropics, you know, 3.5 SONNET where, you know, you can code and it renders the code in there in, like Yep. 10 seconds. Right? You can create literally a working, game, a working website, a working dashboard in seconds with with natural language. How you know, with advancements like this coming so quickly and seemingly carry so much power, what's the best way for for you to keep up and put this into practice when the capabilities are changing so quickly?

David Dodge [00:18:27]:
Wow. Good question. Again, what we're finding right now is that, that AI is is not capable of building full stack applications without, some pretty major problems. The other thing that we're finding is that when you have, like, a small group of kids and they're all basically working with a an instructor to build a certain type of project, the the, you know, the the LLM is is actually, you know, producing differing outputs, for for the different kids. And and oftentimes, there are a lot of errors and and other problems. So, it's it's not perfect right now. It's getting better. If the kids don't have if they haven't taken our, say, Python basics, they are not able to, you know, oftentimes to diagnose they'll they'll ask the the l m to diagnose the issues, but oftentimes, I mean, it produced it.

David Dodge [00:19:27]:
It has no it thinks it's right. It will actually argue with you that it's correct. And and and meanwhile, you're not getting the output that you're looking for, like, something isn't working well in your game. So right now, that's where we are right now, Jordan, and I and I'm sure you've heard that from other developers. Yeah. But moving forward, again, I don't know what it will look like in 10 years. I I do think that as, you know, as it develops, it's going to get easier and easier. I I think that the LLMs are going to become commodities.

David Dodge [00:20:03]:
I think that people are going to, be developing, applications for particular niches. Subject matter expertise is going to be extremely important. There's gonna be a lot of value in that, and and we'll just have to see, you know, where where things are. I still think a technical background, at least a foundation is mission critical, and I I believe it will be in the future as well.

Jordan Wilson [00:20:29]:
Yeah. And, you know, speaking of of a background, you you know, I feel I even think about when I was growing up. Right? Like, I was able to have access in in schools, you know, typing programs, you know, running computer programs. I know that sounds weird, but, you know, know, in the nineties, that was, like, you know, huge. You know, you could learn typing in in grammar school. Right? What's what's your thoughts right now? Because I feel AI is still, in in the US educational system at least. It's very polarizing. Right? I think there are certain number of of schools and and, you know, primary education, secondary education institutions that go all in on AI.

Jordan Wilson [00:21:06]:
Right? And they essentially, you know, do a lot of the work that is probably similar to what you would be doing, at CODA Kid. Right? And then there's other schools that still completely ban it. Right? You can't touch it. They don't teach it. They don't talk about it. Like, what's your take on right now how AI and and AI related skills are or aren't being taught in the actual classroom?

David Dodge [00:21:29]:
Yeah. Great. Again, you had a guest on a couple of months ago, believe in a British fellow. It was really great episode, and he works with schools to help implement AI. We've started to consult with, some schools here in Arizona on on putting things together. We are definitely seeing a lot of concern. Obviously, there's a lot of resistance. They're very concerned about plagiarism.

David Dodge [00:21:56]:
They're concerned about, again, like what we talked about earlier where where, there are many teachers that believe that the AI will be doing the thinking for the kids and not developing those, you know, some of the those, critical thinking skills that are are so important. We have other schools that are jumping head on into AI. 1 thing that we we are seeing for sure as we all know, teacher attrition is a huge issue, burnout, super long hours. Teachers are using AI, and it is really changing their lives. I'm hearing that again and again and again. It's you know, they're creating, so much more free time for themselves. And so that's kind of how what's been happening. The teachers are actually signing up for a lot of these, these programs like like school and whatnot.

David Dodge [00:22:55]:
And then they're going to their, to their administrators and saying, hey. This is really cool. This is saving me, like, 8 hours a week on mundane tasks, and they've got the student module. Can we try this? And and so that's that's kind of where things are right now with a lot of schools. So Magic School, for example, I think they're up to, like, 2, 000, 000 teachers are using their platforms. You know, pretty cool adoption. I think worldwide, there's, like, a 100, 000, 000 teachers. So it's still, like, you know, tiny fraction of, of of available teachers, but we're starting to see some adoption there.

Jordan Wilson [00:24:45]:
I think that there's such an under misunderstanding of AI and and large language models in general, in the US, you know, then we think we, you know, we talk about things like AI content detectors, you know, which which don't work, FYI. And and, you know, kids are getting in trouble for, you know, papers that they say they wrote. And, you know, these things say say, oh, no. You didn't write it. It's it's AI. I don't think there's ever been a time at least that I can see of that the US educational system has been so far behind of where we need to be because right now, these are essential skills. Right? When when kids are coming out of college, you know, employers want AI literacy. And for the last, you know, 3, you know, 3, 4 years since GPT technology has been available, schools had a lot of schools are still blanket blanket banning it.

Jordan Wilson [00:25:38]:
Is that a big problem? Am I over, you know, am I blowing this out of proportion? And and if if that is how it is today, what should parents, what should kids be doing about this, kind of this conundrum of, you know, hey. Our schools are not teaching us some of the most important skills.

David Dodge [00:25:57]:
Yeah. It is a it is a problem. I I sympathize with them. I understand where they're coming from. Schools are notoriously slow at develop at at adopting things. It took them forever to even create, computer science standards and to start adopting that. I mean, that took, like, decades, for them to to finally get around to that. And then now they're finally doing that, and then suddenly AI generative AI comes in and just throws them for a loop.

David Dodge [00:26:28]:
And now they're like, oh my gosh. So yeah. You're right. They they have to do more. And and I believe that, again, it will take time. It's gonna take some, it's gonna take industry, to to raise the, you know, the alarm and and just say, hey. We we need these skills. Colleges are gonna have to step in and and do things.

David Dodge [00:26:55]:
The kids are are already learning things on their own, but there's so there's so much depth and breadth. If we're going to truly innovate, and and master AI augmentation, we're going to have to teach these skills starting at a young age. So, yeah, III think for parents that are are are looking, you know, to to give their kids these, these these foundational skills, there are a number of of resources you can find online. There are a number of companies. You can, you know, Google, AI courses for kids, AI camp camps for kids. There's a number of of academies out there like like CodaKid obviously does that. There's AI camp, there's ID Tech. There's there's a lot of really good solid, institutes out there where you can, supplement your child's education.

Jordan Wilson [00:27:51]:
Yeah. And it's I don't know. Just to me, it's it's it's a sad state. Right? Like, I feel really bad, right, for kids maybe now that are in high school and, you know, they haven't been able to use and and to leverage this technology. But, you know, I'm curious because, you know, David, you said that you're you're you're a parent yourself. You know, how would you want? Right? And I'm sure that, you know, your, you know, kids that you have are probably much better off, you know, given that their, you know, dad is the founder of, you know, coding academy that teaches AI as well. But, you know, if if your, child was not getting basic AI education in the classroom, what would you do, and and how should parents, you know, be responding in these instances?

David Dodge [00:28:37]:
I mean, you can certainly talk to your school and encourage them, you know, to to adopt things. At at a at at a bare minimum, you could talk to the school if you're in a district that has after school programs. There are often vendors. There are nonprofits that, that can come in and actually deliver, after school, programs if you don't have time, you know, perhaps during during the day or you you don't have, you know, kind of the buy in from administration on that. That's 1 1, know, thing that you could do. You could talk to the PTA and do that. Again, there's right now, there are a number of academies that are starting to do this, both with in person classes, in your cities or towns, or there's some excellent, online options, that that are available. And, that's what we do with our daughter is is, we actually use a a variety of different, different academies and institutes, but, and we certainly use CodaKid as well.

David Dodge [00:29:42]:
But, yeah, she's been doing AI camps all summer, 2 hours a day. So we keep it, you know, keep it, you know, at kind of that sort of time frame, and she's been creating just some amazing stuff. She's 11, and and we do a parent presentation on Friday. It's it's mind blowing what these kids are creating in in 10 hours in in a in a in a week long camp.

Jordan Wilson [00:30:09]:
Yeah. And, you know, I kinda wanna hit rewind because I actually forgot to ask you something earlier. Right? So when kids or anyone right now, right, has the ability to even use off the shelf AI models and, you know, especially over the last couple of weeks, they've actually gotten a lot better, you you know, at coding and being able to create code that's that's, you know, usable and it works a lot of times out of the box and being able to render it, you know, within seconds. What does this change for for what's possible? Right? Like, I kind of think now how, you know, there's this phase where, you know, all kids are on social media and they all wanna be, you know, content creators or YouTube, etcetera. Might we see a shift where now all of a sudden, you know, kids at, you know, 8, 9, 10, 11, like you said, oh, monetizing on Roblox. Is it gonna be standard for, you know, kids maybe to be the 1 leading the charge in the future, you know, creating, you know, new new products, new software, new businesses at such a young age with learning and AI?

David Dodge [00:31:09]:
It's so cool you're bringing that up. 1 of the modules in in the course that we're putting together we're we're putting together a really, really cool course we're we're releasing this fall. And it we don't have a title for it quite yet, but it's basically the the idea is the 1 course that every kid should take, to thrive in the AI future. Okay? And, and 1 of the modules is kidpreneurship. And so, you know, how to use, LMs basically to, brainstorm as a brainstorm partner for for business ideas, putting together business plans, financials, p and l projections, you know, going going through, doing competitive analysis, understanding, like, you know, what we're what, you know, opportunities there are in the market. So, yes. III love kidpreneurship. We try to encourage it here at our home, and, I I would love to see that.

David Dodge [00:32:08]:
You're absolutely right. Like, it was really, really hard in the past for a kid, for example, to create an app, at age 11 or 12. And now I think that that we're getting close to a point where that is entirely possible, where a kid could come up with a really cool app. It might be really small. It might be niche. It might be designed specifically for their, like, 11 to 13 age group. But it's going to be entirely possible for these kids to create these things in literally a matter of days, maybe even hours, and put them up live and and and again, get other kids to start using them and maybe there'll be a way for them to monetize. Super exciting time.

Jordan Wilson [00:32:52]:
Wow. It it is exciting. Right? It's it's exciting, yet at the same time, you know, there's there's challenges. Right? There's challenges for the right path forward, you you know, with ethically, responsibly teaching AI, you know, to kids when sometimes they can't get it in the school. So, you know, David, like, as as we wrap up here because we've gone over a lot. Right? We've talked about how coding is still, you know, mission critical, about how some of the most important skills might be things like creativity and ingenuity and problem solving and, you know, how parents might have to supplement AI education at home at least for now. So, you know, what is kind of your 1, kind of takeaway or your 1 most important piece of advice, that you want people, to understand on how we can properly prepare today's kids for an AI future.

David Dodge [00:33:42]:
Yeah. I guess it's the, you know, the the the genie is out of the bottle. AI is here, and it is, it is not going away. It's something that, you know, that we all need to embrace, and it is going to completely transform industries, how we work. It's going to be, it's it's to me, it's 1 of the most exciting times that we've had in in, in centuries. And, I think that, teaching AI early is, is really, really important. I think that these skills are mission critical and, we've seen it even, like, you're you're in my generation, Jordan. We were kind of coming in right as the Internet, was, was was was coming out in the nineties.

David Dodge [00:34:39]:
And I noticed the next generation, you know, the kids that kind of came out of college in the early 2000 and whatnot seem to have this in more innate ability with technology than than our generation did. The same thing is going to be needed and necessary for for kids today. They're they're going to need exposure and these skills, in order to compete in tomorrow's world. So I yeah. Embracing this, not being afraid of it, you know, and and, realizing that it has tremendous potential to do very, very positive things for, you know, for your kids' development, that would be my my big takeaway.

Jordan Wilson [00:35:23]:
Wow. So many great, pieces of advice, there, and I I think that this is a conversation we need to have more often. So so, David, you you know, I really appreciate you, coming on the Everyday AI Show to share and help us all, hopefully, prepare today's kids for, more secure and better AI future. So thank you so much for your time to come on the show.

David Dodge [00:35:46]:
Thanks so much for having me.

Jordan Wilson [00:35:48]:
Alright. And, hey, y'all. As a reminder, if this was helpful, please let someone know about it. If you're, you know, on social media right now, tag someone in the comment who needs to hear this, repost it to your network. If you're listening on the podcast, thanks as always. Make sure to subscribe. Check out the show notes. We've had a lot of other, you know, education based podcasts.

Jordan Wilson [00:36:05]:
We'll be sharing some of those as well. So if this hits home, we've had a lot of other great, conversations. Even David was mentioning some of them, so make sure to check those out. And please make sure to go to your everyday ai.com. We'll be recapping today's conversation in our free daily newsletter that we put out every single day, as well as the AI news and kind of fresh finds from across the web that you need to know to take advantage of AI to grow your company, grow your career. So thanks for tuning in. We hope to back we hope to see you back for more everyday AI. Thanks y'all.

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