Ep 50: State of AI: 50 things you NEED to know (50th Anniversary Special)


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Jordan [00:00:16]:

Yes. AI is probably gonna take your job. Alright. So this is the fiftieth episode of Everyday AI. Thank you. For joining me on this fun day. So before we get into 50 facts, opinions, and hot takes on the state of AI first. Let's talk AI news.

Daily AI news 

Jordan [00:00:40]:

So as a reminder, if you're joining us for the first time, This is a daily live stream podcast and free newsletter helping everyday people keep up with what's going on in the world of AI. So Let's quickly talk about the AI news and then get into some hot takes. Alright? Let's get after it. So first, Gizmodo just talked about that they are starting to use generative AI, and, obviously, the staff are mad. So Gizmodo is a popular tech blog, and they're following in the footsteps of other media publishers such as BuzzFeed and others who are starting to use generative AI in kind of in place of human writers. So let's see how that plays out Second news story of the day. So a new New York law is going into effect that is requiring companies to disclose or just, in some cases, not even use AI when it comes to hiring. So many companies have been using AI and hiring.

Jordan [00:01:41]:

We actually talked about that even on the show on Friday, but this new New York law is 1 of the first in the US that is kind of requiring this level of disclosure or, in some cases, not even allowing AI to be used in hiring. Alright. So third story of the day before we get into some hot takes So there is a global chips race going on. So what does that even mean? Well, the EU and Japan right now are looking to partner on AI and chips. So this is coming right after the United States late last week talked about possibly cutting off chip exports to China. So we're gonna get into that, but, you know, we talk a lot about chips on this show and why, and and how does it affect the everyday person? Well, Right now, whether we understand it or not, chips and and producing these GPU chips for generative AI. So all of these large language large language models and all of these AI tools that you use, they require a lot of computing power, and that's these GPU chips And we're gonna get into this, but that's 1 of the biggest things that's driving the US economy right now. So that's the news.

Jordan [00:02:53]:

Let's get into some hot takes. So if you are joining us live, we have a couple couple people already. Feel free to drop a comment. Is AI going to take all of our jobs? Should AI be used in education? Is AI running the US stock market? Let's see. So thank you for for those of you already joining us. Valerini Valerino saying what's go. Thank you, Rastafaa. Good morning.

Jordan [00:03:20]:

Happy holidays. Yes. In the US, we kinda have an extended long weekend here. So with the fourth of July coming up tomorrow, but we're bringing you the hot takes today. So without further ado, let's let's get into it. Let's go into 50 facts, opinions, and hot takes on the state of AI. So If at any time, you have a comment, drop it. Otherwise, I'm gonna go fast and furious.

Jordan [00:03:49]:

So the reason I'm doing this is I think that so many people have a misunderstanding of AI and what's happening. So this is this is both a half history, half hot takes. So let's let's get after it. So before we do, as a reminder, go to your everyday AI dot com. Sign up for our free daily newsletter. Check out you you know, you're probably either listening to this on a podcast or livestream right now, so make sure you do that. Alright. Let's start at the top.

#50 - AI will take your job

Jordan [00:04:22]:

AI will probably take your job or someone close to you. So if you remember that first day in college where a professor says, look to your left, look to your right. 1 of these people will not be here at the end of 4 years or whatever that saying is. It's kind of the gotta be the same with with AI and jobs. I'm putting that out there. I wanna be real with with the audience. AI is probably coming for a lot of sectors, a lot of jobs. You know, it's Yeah.

Jordan [00:04:50]:

That's that's the facts. So more on that a bit. So even Goldman Sachs, So 1 of the leading financial institutions in the world. And we've talked about this on the show before. They predicted 300000000 jobs will be lost or impacted by AI. Alright? So when I talk about these things on the show, I'm not just making them up. I've experienced the power of generative AI for multiple years and what it can do. And there is just a huge misunderstanding of what it's capable of.

Jordan [00:05:18]:

So Goldman Sachs, you know, even said it right there, 300000000 jobs could be lost or impacted by AI. Thank you again, Audrey joining the show. Yes. GPUs are running the show. Alright. More hot takes. Let's go. There are actually more history.

Jordan [00:05:36]:

So more than half of all AI related updates you read on social media are probably wrong. It's it's very popular on social media to say this thing that AI won't replace your job. Someone using AI will. That's wrong. That's just something that people say to make you feel good. So let's actually talk about first. What is AI? So It's essentially when a computer can start to do something that only a human brain can do. Alright? So we're getting into history, but it's not new.

Jordan [00:06:08]:

AI has actually been around since the 19 fifties. So quick quick quick lesson here. So There's the touring test. So this was the first test to actually measure artificial intelligence. So this was a test literally in 19 50 that was created. That established. This is what artificial intelligence is. And then we have the full first functioning AI lab in 19 59.

Jordan [00:06:32]:

Why am I telling you all these boring facts? I actually think it's fascinating, if I'm being honest. If you don't know anything about AI to think, oh, it's been around since 19 50. And there was an AI lab in 19 59 at MIT. It's it's very interesting, but it's also telling when we talked about the recent pace, and I'd say the avalanche of attention toward AI. Also, here's here's a fun 1. And if you're in the comments, let me know if you knew this or not. So chat GPT wasn't the first AI chatbot. I'll take a 10 second coffee break here.

Jordan [00:07:07]:

Does anyone know the name of the first chatbot? Kevin, it's not Kevin, but Kevin, thank you for the comment. Appreciate someone speaking the truth. That's what that's what I'm here for. Alright. First chatbot was Eliza. So it simulated a psychotherapist, and this was in 19 65. So if we think that Chet GPT was impressive, in 20 22 when it debuted. Imagine being alive in 19 65 and and seeing a chatbot, more or less, simulating a psychotherapist.

#40 - AI has been used since the 1980s

Jordan [00:07:45]:

Yes. Kevin Kevin actually There is a little delay there, but I think Kevin actually probably got Eliza before I said it. Alright. Fact 40. AI is has been widely used in business since the 19 eighties. So it wasn't just a lab project. Right? So In the 19 eighties, we have what was called the expert systems boom. And and this is essentially when all different types of specialized AI was being used in business.

Jordan [00:08:11]:

So you know, financial planning was a big 1, health care, all over the spectrum. So AI, even in business isn't new. It wasn't just something that was being cooked up at an MIT lab. So that begs the question, why is AI driving stock market? Why is AI in every headline? Why is that, you know, so prevalent now if it's been around since the fifties? If businesses have been using it since the 19 eighties. And and here's even another, you you know, big 1. Even since the you know, for 15 years, we've been having big companies making headlines using AI. So, you know, IBM was beating world class chess champions. We had self driving cars showing off the capabilities, but it wasn't really until the 20 tens and and something called deep learning.

Jordan [00:09:05]:

So that's I can't accurately describe deep learning in, you know, less than an hour. But let's just say it's it's when you can teach a computer model to think more like a human and train it on a dataset. But it wasn't until deep learning came along that really opened up the door for how AI is used today. And I'm gonna say that there's 3 big reasons for mass adoption right now. So before, before I talk about those, shout out, Leonard. Thank you for joining the show. Make sure if if if you're listening to this in the podcast, click the the LinkedIn post, it'll bring you there. Check out some amazing work that people a lot of the people in the comments everyday here on the Everyday AI Show, are out there creating AI.

Jordan [00:09:53]:

You you know, Leonard's really pushing some boundaries, love it. Aman, you know, holding it down as well. So Thank you guys for joining us on the show. And please, if you're listening on the podcast, join us live 07:30AM Central Standard Time. So let's get back. 35 we're gonna go fast. I I promise. This isn't gonna be an hour long podcast.

Jordan [00:10:13]:

But let's talk to 3 big reasons now that this AI thing that's been floating around for 70 years, why it is at the top of our minds now. 3 big reasons for mass adoption. This is the reason. Affordable computing. You know? So when we talk about these expert booms in the 19 eighties, And even when we talk, you know, in the early 2000 tens, computing was expensive to be able to produce the power needed to have AI, have applicable applicable use cases in our everyday life. It was just too expensive. So a big thing now is affordable computing. Accessibility is another 1.

Jordan [00:10:55]:

Right? You used to have to literally almost be a computer scientist to understand or use AI up until probably about 10 years ago. It's not like that anymore. AI is very accessible. It's as easy as using a search engine. Right? Alright. So let's let's keep going. The last 1 is quality. We'll probably share about this in the in the newsletter today, so make sure you sign up your everyday AI dot com.

Jordan [00:11:24]:

But the quality of generative AI especially. You know, mid journey is a very popular text to image. Obviously, chat GPT or the GPT technology is very popular in content creation and and so many other things. But when you look at the first iterations of even just these 2, And to look at, as an example, you know, mid journey from, you know, version 3 to now where we are, I think version 5.2 you can't you can't even fathom how far the technologies these technologies have come and how much they've improved in the last 6 to 9 months. That is why we are talking about them so much because the GPT technology is able to create writing better than the best human writers. The sorry. I've been getting paid to write for 20 years, and GPT is better than me at writing. I'll just say that.

Jordan [00:12:16]:

Same same thing with image generation. Hit what you can create in a in a tool like mid journey, in a tool like DALL E, stable diffusion, all these generative text to image technologies mind blowing. It would take a an artist or a photographer you know, many hours, sometimes days to create what you can create in seconds using generative AI. Alright. So doctor doctor Castro is saying crazy that only 20 percent of people have heard of mid journey. Yeah, it's it's actually wild how how few people, even outside of chat, GBT, how few people are aware of just generative AI and this technology. So, yes, it's it's crazy and especially how prevalent it is. So so, again, those 3 things that I think are really pushing AI.

Jordan [00:13:09]:

So, you know, from 19 fifties, until, hey. Why are we only talking about it in 20 22 and beyond? It is those 3 things. It's more affordable. It's more accessible, and the quality is better. Alright. Let's keep going. So hot take slash history lesson 31. The biggest breakthroughs, like we talked about, recently are in generative AI in large language models.

Jordan [00:13:33]:

So, again, what's a large language model, but that's essentially what GPT is. It's it's a dataset trained on I'll have to look up how many parameters, but it's trained on just the entire Internet. You know? So there are let's see here. I think a hundred and 70000000000000 parameters that GPT is trained on. So think if something existed on the Internet before September 20 21, there's a good chance that large language models like GPT4 understand it and can use it. So that's another reason why. AI is kind of more booming now. Again, this stuff has been around for decades.

#30 - AI boom started in 2020 with GPT-3

Jordan [00:14:14]:

Alright? Like we talked about. GPT 3 I think, was kind of the start of this. So I think that most people hadn't heard or used the the the everyday person really didn't start hearing about AI until chat GPT, which was released in 20 22, I believe November. Here's the thing. I've been using this GPT technology essentially since it came out. I think it was late 20 20. You know, you had tools like some early tools, we were using Headline. There was CopyAI.

Jordan [00:14:50]:

There was Write Sonic, Jasper Jarvis. So so many initial tools that started this GPT had been around for multiple years. So, you know, something that we we talk about in our free PPP training, I know I owe a couple of you a links, but if you want access to that training, we don't sell anything. Just type PPP in the comments. I'll shoot it over to you. But that's 1 of the things we talk about is this technology has been around for so long. And it's it's just being misused. People don't really fully understand how to use the technology.

Jordan [00:15:21]:

We're gonna go through fast. We're gonna go through fast. So this, again, we talked about that this tech was popularized by the GPT3 products. Alright. So that's it for the history. Drop me a comment. Did anything in the history lesson shock you? And thank you for all of you that are tuning in. If you're listening on the podcast, this is where I should have a little ad, but instead, I'm gonna take a sip of water.

Jordan [00:15:47]:

Alright. And we're gonna transition from history to hot takes. So we're halfway through. Here we go. Hot take 26 or hot take 1. AI is a hundred percent better than your tasks than you are. Okay? I'm not saying your job. But your tests.

Jordan [00:16:06]:

Okay? III share about this all the time. I've spent more than 10000 hours writing. I've probably spent you know, 4000 hours taking photos and videos, you know, thousands of hours researching design. AI is better than those task them meet. If you know how to use it correctly, if you're using the right application at the right time, I'm sorry. If you're listening to this, if you break down your tasks, if there is an AI that is covering those skills, which there probably is, it is better than those tasks than you. Alright? Simple as that. 25.

Jordan [00:16:39]:

The biggest lie about AI right now, we kinda talked about this. It's saying, AI won't take your job to someone using AI will. That's a lie. You know, kind of how I started the show with with the example of look to your left, look to your right. 1 of these people will not have their job soon because of AI. AI is not a 1 to 1 job replacement. That's what people are talking about. That's not how AI works.

Jordan [00:17:06]:

You know, I've I've given this example before, but for those of you maybe new to the show, You know, I have a company called Accelerate Agency. So we do digital strategy for small businesses. 1 of my first clients. This is before GPT technology. We were content strategists and, you know, just all around working with a team of more than 20 writers, very talented writers. And we were driving their content strategy, SEO, all that good stuff. So there was more than 20 humans involved. If we had the GPT technology, we could have gotten probably as much or more for the client if this technology existed, and we would have only needed 4 people.

Jordan [00:17:48]:

And we probably would have been able to double the output. So AI is not a 1 to 1 replacement. And I'm not just talking about copywriting, researching, art, and design. This goes all over the place. AI is not 1 to 1. Let's keep going with the hot takes. Yes. Leonard says AI is a is a job like a computer.

Jordan [00:18:11]:

It should be. Yes. Thank you for your comments so far, guys. Keep them coming. If if if you don't agree with with 1 of my hot takes, let me know. Let's talk about it. Alright. Hot take.

Jordan [00:18:21]:

Chad GPT is making us all dumb. Alright? I'll say it. It is. Because it is so smart, It is, I think, making us all dumb. If you are using chat GBT to this its fullest extent, you know, which which I am. A lot of times, I start my day with you know, giving chat, GPT, 10 YouTube videos, a bunch of PDFs, a bunch of links, and saying summarize all this for me. Right? So even how how I'm using it, I'm ingesting way more information, but I don't know if I'm learning it at the level that I should be. So I think Chad GPT either is making us all dumb or will.

Jordan [00:18:57]:

So that's just something to keep in mind that we still have to be adamant about how we learn and how we ingest information because AI is making it so much easy. So Raspad says, I disagree. You have to get smarter to engage. Yes. It it it all depends on how you're using the technology, but it does have the capability to make us all dumb. And I haven't got into hot takes yet on AI and educate So next, knowing chat GPT will become an essential job skill. Okay? Essential. I'm gonna say by 20 24.

Jordan [00:19:35]:

If you don't have a working knowledge, of chat GPT, it may be hard for you to get a job. You know, let's just say, again, I know there's outliers. Right? Jobs where, you know, ChatGPT, you know, if you're doing manual labor. But if you have a desk job, And if you don't know how to speak GPT by 2024, I think it's gonna be hard for you to maybe get a job or grow in your career. It's literally like using the Internet, but more important. So if you don't know, you need to know. Alright. Let's keep it with the hot takes.

#20 - Need to use ChatGPT instead of Google

Jordan [00:20:14]:

Mostly, everyone uses chat GPT like Google, and that's wrong. You're not using chat GPT correctly. Copy and paste prompting is mostly garbage. Yes. All of those posts you see on social media, these 22 prompts will save you 16 hours a day. They're just trying to sell you something. Those copy and paste prompts are mostly garbage compared to if you were using chat GPT correctly. How it was made to be used.

Jordan [00:20:40]:

So it's something we talk about in our PPP course. So drop PPP right now in the comments. I'll send it to you. I know I owe it to a couple of you, but you need to use chat GPT is like an assistant. It's like an employee. You don't just copy and paste something you train them up, and you give them the tools and the resources, and then they will perform accordingly. Let's keep it well, I just said that. You don't know how to use Chegg EBT.

Jordan [00:21:04]:

Let's let's we don't even need to talk about that. Alright. Next hot take. Generative AI is the most disruptive technology since the Internet. And it may become even more disruptive, I think. When the Internet came out, It's obviously groundbreaking. Right? I remember having to read multiple encyclopedias to find the answer to 1 question. So the Internet obviously brings the world of information to our fingertips.

Jordan [00:21:34]:

Chad GBT allows us to process information like a supercomputer because that is what it is. So let's keep it going with the hot takes. Not spending 20 dollars on Chad GBT plus is a waste of your money. How does that even make sense? Not only is that a waste of your time, it's a waste of your money. The difference I I say this all the time. The difference between the free version of chat GPT and the paid version The free version is a flip phone. Paid version is the newest iPhone. It's the next iPhone or the next smartphone.

Jordan [00:22:07]:

Yes. They can both make calls. But 1 is not comparable to the other. So if you are not I'm not paid by chat GBT. Right? But if you are not using the paid version, you are wasting your time. 15, Here we go. The top 15 hot takes. Almost every high school and above student is using chat GPT.

Jordan [00:22:26]:

Parents, if you think your kids aren't using it, they are. Teachers, professors, if if you think you're banning it, you're not, all students are using it, period. Another 1. Hot take. Here we go. Higher end in the US is dropping the ball on AI and chat GPT. You know, it's I don't know why. You you know, there's there's the famous story of the, you know, University of Texas professor failed everyone because he said, oh, you're all using it, and I asked chat GPT if this text was chat GPT.

Jordan [00:23:02]:

Number 1, that's not how it works. We'll we'll we'll talk about that here in a second. But number 2, higher education should be encouraging, almost requiring requiring it. That's that's what I next hot take. Chad GPT, Bard, etcetera, should be required in school. Right? I talk about this. If I was teaching a class, we would have a 10:20 page paper due every single day about a different topic. Because that forces you how to learn and how to use chat GPT.

Jordan [00:23:33]:

Right? So that's just that's just the reality. I'm sorry. I'm sorry if you're in you're in academia and you don't agree with me, but that's the reality. Students are using it, we should be encouraging them. Alright. Speaking of, hot take 12. We only got 11 more. AI contact detectors do not consistently work.

Jordan [00:23:55]:

They don't. They are I mean, there's some that work better than others. Our team spent a couple months ago. We spent a full day putting every single content detector out there to the chest. We'll have to find that. Maybe we'll share about it, but they don't work. All all these content detectors do is they look for commonalities. That's what it is.

Jordan [00:24:17]:

That's the that's all it is. So you can take copy and paste something from chat, EBT, If you know what you're doing, change 10 words out of a thousand, and it's not gonna be detected. It can come from, oh, a hundred percent AI, change 10 words out of a thousand, 1 percent AI. Same thing. It can and we did these tests, something I wrote. And then I changed a bunch of it to say, alright. Here's how chat UPT goes. So it goes from 1 percent AI to 99 percent.

#10 - ChatGPT CEO worried about disinformation and economic shock

Jordan [00:24:44]:

So these AI content detectors sorry. They don't work. 11, there will be massive economic impact because of AI. So 10. Sam Altman actually said this. So Sam Altman is the CEO of OpenAI. So that is the Chet GPT parent company. So he said his 2 main concerns, with this technology were disinformation and economic shock.

Jordan [00:25:07]:

I talk about this on the show probably every other week because I think it's important and still no one's talking about it. Those 2 things, I mean, we're gonna see them play out here. I think now especially over the next 15 months. And here's why. High-tech 9, it'll soon become impossible to tell AI generated content from human created. Writing, I think it's already nearly impossible if you know how to use these tools correctly. But imagery video I mean, images are probably almost there. If you haven't checked out mid journey, what what version are we on now? 5.2, good luck.

Jordan [00:25:44]:

You know, I've I've taken probably 500000 photos in my life, you know, DSLR, you know, high end photography, It's hard for me to tell. It's extremely hard. And I've, you know, spent thousands of hours editing. It is hard to tell. If if if you have a good prompt, And if you're using the technology correctly, it's almost impossible to tell. Alright. Here we go. Hot take 8.

Jordan [00:26:07]:

The US economy is reliant on tech and AI stocks. Alright? 1 of the only reasons why I think we aren't in a full blown recession here in the US is because of the performance of these AI stocks. And what we talked about in the beginning of the show is chips. Okay? We're gonna talk more about GPU chips as we go on. So right here. GPUs are the new gold. Alright? If you are looking at the market and companies like Nvidia you know you know, these big tech companies that are making chips, they are controlling for for a good part how our economy is functioning. Because the other big companies pushing our economy, so Alphabet, which is Google parent company, Meta, which is, you know, Facebook, Instagram parent company, your IBMs, all the companies that are pushing everything, they are reliance on these GPU chips.

Jordan [00:27:05]:

They are the new gold. Again, like we talked about, you know, when we talk about cutting access to other countries. That's a big topic of discussion right now. It's saying like, hey. Should the US should we ban or limit exports of these chips to other countries? Because it is going to become like a natural resource, like, like gold, like water, like medicine. It these chips, at least right now until other companies and other countries can keep up or surpass what we're doing here in the US until that point, it is the new gold right now. Alright. Yes.

Jordan [00:27:45]:

Leonard, not just chips, but the jobs AI is creating. Exactly. But so many of these companies are reliant on these chips. And without them, it is hard. It is hard for them to do this. Sorry. I know there's a lot of comments coming in. I didn't get to them all.

Jordan [00:28:02]:

Please share data on content detectors. I'll have to dig it up. This is from a spreadsheet from, you know, probably, like, April from a long time ago. Doctor Castro, some some education institutes will be replaced with YouTube College. Yes. Khan Academy. Hundred percent agreed. Yeah.

Jordan [00:28:21]:

I think if if universities don't keep up, you know, online programs will be just as impactful, maybe more. Alright. Let's keep it going. We have a couple more. Our top top 6 hot takes with AI. Again, the fiftieth edition, the fiftieth episode of Your Everyday AI. So top 6. Here we go.

Jordan [00:28:44]:

Personal AI assistance will be the new norm. I'm pretty sure I shared about this on LinkedIn maybe, like, a year ago. I see this happening probably sometime next year. Where it's normal for you to have a customized bespoke AI agent that's you start your day with. So you know, we'll see I'm I'm pretty excited for the Windows Copilot where they're working AI into the actual operating system. Not into, you know, logging on to a a website or something like that, but having a smart AI that is inside your computer, inside your operating system, and it follows you across all of your tasks. That's the first iteration of this. Alright.

Jordan [00:29:24]:

Here we go. Top 5. Top 5 hot takes. Here we go. Number 5, the US is unlikely to make any major laws regarding AI. So that's a lot of news right now, you know, what the EU is doing, China, all of all of these other countries are coming up with with rules, laws, and regulations. I don't think the US is going to, 1, I don't think our leaders fully understand AI. If if if you follow US politics at all, you know, you should go back and watch some some questioning when, you know, Facebook executives or something have to go to congress.

Jordan [00:29:59]:

And the questions that they get asked will showed a you know, it goes to tell you that our elected leaders do not fully understand technology, especially not AI. And right now, it is pushing our economy. Hottake 4. AI will take center stage in the 20 24 US presidential election. We've already we've already started to see that so far. You know, there's already been multiple ads come out where major parties are using generative AI. So there's been stories. Of of course, they're using it to write the commercials, but the actual imagery they're using fake images as well.

Jordan [00:30:39]:

So it's gonna take center stage. Hot take number 3. The AI hype isn't overblown. It's actually grossly underestimated. Alright? So if if if you think that this is the height of the AI boom or the AI hype, It's not. This is the beginning. Alright. Number 2, access to AI will become a global debate.

Jordan [00:31:05]:

Okay? Just like we talk about access to health care. We talk about access to education. Access to AI will become a global debate. I think we're already starting to see it. I think it started to pick up, especially the last couple of weeks. As we've started to view, you know, GPUs and just the AI technology as more of an asset on a country by country basis. It's gonna be interesting how this plays out, but I think it's gonna become a global debate. And last but not least, the last hot take.

#1 - If you don't learn AI you will be replaced

Jordan [00:31:39]:

If you're not learning AI right now, you're asking to be replaced. Again, there's, of course, certain certain jobs where, you know, AI is maybe taking longer. But if you are working at a desk, in front of a computer. And if you're not learning the basics of AI right now, you are asking to be replaced. Okay? So this is as if, you know, 20 years ago you were saying, I'm not gonna use search engines. Right? It's the same thing, but probably exponentially more important. I'm gonna repeat this 1 1 more time. If you're not learning AI right now, you're asking to be replaced.

Jordan [00:32:27]:

Alright. That was a lot. This was a long livestream, a long podcast, but I wanted to take a look back at some of the lessons that I've learned personally over our last 50 episodes. You know, having some of the some very smart people on the show in learning from them. I thought I owed it to you people out there joining us live on LinkedIn, you know, joining us on Spotify, Apple Podcasts, reading on the website, reading the newsletter to take a look back. You know, we started this this everyday AI project about 3 months ago. So taking a look back, and saying, this is the state of AI. This is what's important right now in the AI industry, in the AI sector.

Jordan [00:33:19]:

But If if you feel overwhelmed, that's okay. It can be overwhelming. Right? How how quickly AI is changing the landscape especially here in the US. And I understand that. It even even as someone that's spending hours a day keeping up, you know, for our newsletter because we're you know, you can spend 10 hours a day trying to keep up with AI, and you're still gonna get feel left behind. So Number 1, subscribe to our newsletter. Go to your everyday AI dot com. It's a free newsletter.

Jordan [00:33:54]:

Read that. Takes 6, 7 minutes a day to read it. We're keeping you up to date with everything that matters in AI. So you can stay ahead in your career. You can keep your company going forward. So number 1, Take advantage of everyday AI. Number 2, you have to be using it. Even if you're just starting to replace Google search with a Bing chat or with chat GPT search, that's great.

Jordan [00:34:25]:

Everyone should be using some sort of generative AI. Even if it's simple, you know, starting to replace Google search, you need to be doing that. And last but not least, you need to be learning. You need to be learning. I think learning right now is as important at least as it's been, I think, in my lifetime. Things and not just in the AI space, but AI is impacting every single major sector. Here in the US, from the financial sector to health care to business administration, everything. Things the rule books are getting are getting rewritten at a much faster pace than they ever had before, largely because of AI.

Jordan [00:35:10]:

So I hope this was helpful for you all. I know this is a a bit longer of an episode, but thank you for tuning in. So Please go to your everyday a I dot com. Subscribe to the free daily newsletter. We won't see you tomorrow, so happy fourth of July to to US listeners, and we will see you back Wednesday and every day after that on everyday AI. Thanks.

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