Everyday AI Podcast – An AI and ChatGPT Podcast - EP 50: State of AI - 50 things you need to know (50th Anniversary Special)

Episode Date: July 3, 2023

We made it to episode 50! In celebration of our 50th anniversary, we're breaking down 50 things you NEED to know about AI!For more details, head to our episode page.Join the conversation and ask Jordan any questions you have here!Time Stamps:[00:00:16] Daily AI news [00:04:00] #50 - AI will take your job[00:07:37] #40 - AI has been used since the 1980s[00:14:00] #30 - AI boom started in 2020 with GPT-3[00:19:55] #20 - Need to use ChatGPT instead of Google[00:24:39] #10 - ChatGPT CEO worried about disinformation and economic shock[00:31:19] #1 - If you don't learn AI you will be replacedTopics Covered in This Episode:1. Controversy over Gizmodo using generative AI instead of human writers- Explore the implications and debate surrounding AI-generated content in journalism2. New York law requiring companies to disclose AI usage in hiring- Examine the significance of this law and its potential impact on employment practices3. EU and Japan partnership on AI and chips- Discuss the global collaboration in AI development and the importance of GPU chips for AI tools4. AI's potential to take jobs and the prediction from Goldman Sachs- Evaluate the growing concern over job displacement due to AI advancements5. Inaccurate AI-related information on social media- Expose the prevalence of misinformation and define what truly qualifies as AI6. AI's history since the 1950s- Explore the origins of AI, including the Turing test and the establishment of the first AI lab at MIT7. Introduction of the first AI chatbot, Eliza- Delve into the development and purpose of Eliza as an early AI simulation8. AI's impact in business since the 1980s- Discuss the rise of specialized AI systems in various industries, driven by expert systems9. Deep learning and its contribution to AI adoption- Explain the significance of deep learning in driving the widespread adoption and attention around AIKeywords:Gizmodo, generative AI, human writers, controversy, staff members, New York, law, companies, disclosure, hiring, US, AI exports, EU, Japan, partnership, chips, China, GPU chips, large language models, AI tools, US economy, jobs, Goldman Sachs, social media, incorrect updates, computer, human brain, 1950s, Turing test, AI lab, MIT, AI chatbot, Eliza, psychotherapist, business, expert systems, deep learning, datasets, adoption, attention, Everyday AI, ChatGPTSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

This is the Everyday AI Show, the everyday podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life. Meet Firefly AI Assistant, now live in Adobe Firefly, the All In One Creative AI Studio. Just describe what you want to create and the assistant handles the rest, orchestrating multi-step workflows across Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome. The assistant accelerates execution. Yes, AI is probably going to take your job.

All right. So this is the 50th 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. So as a reminder, if you're just, as a reminder, if you're just, 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. All right, 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 foot steps 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 in hiring. We actually talked about that even on the show on Friday. But this new New York law is one of the first in the U.S. that is kind of requiring this level of disclosure or in some cases not even allowing

AI to be used in hiring. All right. 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 going to get into that, but we talk a lot about chips on this show and why. And how does it affect the everyday person?

Well, right now, whether we understand it or not, chips and producing these GPU chips for generative AI. So all of these 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 going to get into this. But that's one of the biggest things that's driving the U.S. economy right now. So that's the news.

Let's get into some hot takes. So if you are joining us live, we have a 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 U.S. stock market? Let's see. So thank you for those of you already joining us, Valerino, saying, let's go.

Thank you. Rastafah, good morning, happy holidays. Yes, in the U.S., we kind of have an extended long weekend here. So with the 4th of July coming up tomorrow, but we're bringing you the hot takes today. So without further ado, 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 going to go fast and furious.

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 both half history, half hot takes. So let's get after it. So before we do, as a reminder, go to your everyday AI.com. Sign up for our free daily newsletter. Check out, you know, you're probably either listening to this on a podcast or live stream right now.

So make sure you do that. All right, let's start at the top. 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, one of these people will not be here at the end of four years or whatever that's saying is. It's kind of going to be the same with AI and jobs. I'm putting that out there. I want to be real with the audience. AI is probably coming for a lot of sectors, a lot of jobs. You know, it's, yeah, that's the facts. So more on that in a bit. So even Goldman Sachs,

so one of the leading financial institutions in the world, and we've talked about this on the show before. They predicted 300 million jobs will be lost or impacted by AI. All right. 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. So Goldman Sachs, you know, even said it right there. 300 million jobs could be lost or impacted by AI. Thank you again, Audrey, joining the show. Yes, G.P. are running the show. All right, more hot takes.

Let's go. Or actually more history. So more than half of all AI-related updates you read on social media are probably wrong. 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. All right? So we're getting into history, but it's not new. AI has actually been around since the 1950s. So 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 1950 that was created that established this is what artificial intelligence is. And then we have the full first functioning. AI lab in 1959. 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 1950. And there was an AI lab in 1959 at MIT. 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 a fun one. 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. 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 I'm here for. All right. First chat bot was Eliza.

So it simulated a psychotherapist. And this was in 1965. So if we think that chat GPT was impressive in 2022 when it debuted, imagine being alive in 1965 and seeing a chatbot more or less simulating a psychotherapist. Yes, Kevin. Kevin actually, there is a little delay there, but I think Kevin actually probably got Eliza before I said it. All right, fact 40. AI has been widely used in business since the 1980s.

So it wasn't just a lab project, right? So in the 1980s, we had what was called the expert systems boom. And this is essentially when all different types of specialized AI was being used in business. So financial planning was a big one, healthcare 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 the stock market? Why is AI in every headline?

Why is that so prevalent now if it's been around since the 50s, if businesses have been using it since the 1980s? And here's even another big one. 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 2010s and something called deep learning. So that's, I can't accurately describe deep learning in, you know, less than an hour. But let's just say it's when you can teach a computer model to think more like a human and

train it on a data set. But it wasn't until deep learning came along that really opened up the door for how AI is used today. And I'm going to say that there's three. big reasons for mass adoption right now. So before I talk about those, shout out. Leonard, thank you for joining the show. Make sure if you're listening to this on the podcast,

click the LinkedIn post. It'll bring you there. Check out some amazing work that people, a lot of the people in the comments every day here on the Everyday AI show are out there creating AI. Leonard's really pushing some boundaries, love it. Amman, you know, holding the 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, 7.30 a.m. Central Standard Time. So let's get back. 35. We're going to go fast. I promise. This isn't going to be an hour-long podcast. But let's talk to three 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. Three big reasons for mass adoption. This is the reason. Affordable computers. You know, so when we talk about these expert booms in the 1980s, and even when we talk, you know, in the early 2010s, computing was expensive to be able to produce the power needed to have AI, have applicable use cases in our everyday life. It was just too expensive. So a big thing now is affordable computing.

Accessibility is another one, 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? All right. So let's keep going. The last one is quality.

We'll probably share about this in the newsletter today. So make sure you sign up your everyday AI.com. 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 in so many other things. But when you look at the first iterations of even just these two, and to look at as an example, you know, mid-jurney from, you know, version 3 to now where we are, I think version 5.2, you can't even fathom how far the technologies these technologies have come and how much they've improved in the last six to nine 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. Sorry, I've been getting paid to write

for 20 years and GPT is better than me at writing. I'll just say that. Same thing with image generation. What you can create in a tool like Mid Journey, in a tool like Dahl-E, stable diffusion, all these generative text to image technologies, mind-blowing. It would take an artist or a photographer, you know, many hours, sometimes days to create what you can create in seconds using generative AI. All right. So Dr. Castro is saying, crazy that only 20% of people have heard of Mid-Journey. Yeah, it's. It's actually wild. How few people, even outside of chat GPT, how few people are aware of just generative AI and this technology.

So yes, it's crazy and especially how prevalent it is. So again, those three things that I think are really pushing AI. So, you know, from 1950s until, hey, why are we only talking about it in 2022 and beyond? It is those three things. It's more affordable. it's more accessible and the quality is better. All right, let's keep going. So hot take slash history lesson 31.

The biggest breakthroughs like we talked about recently are in generative AI and large language model. So again, what's a large language model? But that's essentially what GPT is. It's a data set 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 170 trillion parameters that GPT is trained on. So think, if something existed on the internet before September 2021, 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, all right? like we talked about. GPT3, I think, was kind of the start of this. So I think that most people hadn't heard or used the everyday person really didn't start hearing about AI until chat GPT, which was released in 2022, I believe November. Here's the thing. I've been using this GPT technology essentially since it came out. I think it was late 2020. You know, you had tools like some early tools we were using headline. There was copy AI.

There was Rite Sonic, Jasper Jarvis. So so many initial tools that started this GPT had been around for multiple years. So, you know, something that we talk about in our free PPP training, I know I owe a couple of you 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. But that's one of the things we talk about is this technology has been around for so long. And it's just being misused. People don't really fully understand how to use the technology.

We're going to go through fast. We're going to go through fast. So this, again, we talked about that this tech was popularized by the GPT3 products. All right. 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 going to take a sense. of water. All right. And we're going to transition from history to hot takes. So we're halfway through. Here we go. Hot take 26 or hot take one. AI is 100% better than your tasks than you are. Okay. I'm not saying your job, but your tasks. Okay. I share about this all the time. I've spent more than 10,000 hours writing. I've probably spent, you know, 4,000 hours taking photos and videos, you know, thousands of hours researching design. AI is better than those tasks than me.

If you know how to use it correctly, if you're using the right application of 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. All right. Simple as that. 25. The biggest lie about AI right now, we kind of talked about this, is saying, AI won't

take your job, someone using AI will. That's a lie. You know, kind of how I started the show with the example of look to your left, look to your right, one of these people will not have their job soon because of AI. AI is not a one-to-one job replacement. That's what people are talking about. That's not how AI works. You know, I've given this example before, but for those of you may be new to the show. You know, I have a company called Accelerant Agency. So we do digital strategy for small businesses. One 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 four people. And we probably would have been able to double the output. So, AI is not a one-to-one replacement. And I'm not just talking about copywriting, researching, art and design. This goes all over the place. AI is not one-to-one. Let's keep going with the hot takes. Yes. Leonard says AI is a, is, a job like a computer. It should be. Yes, thank you for your comments so far, guys, keep them coming. If you don't agree with one of my hot takes, let me know. Let's talk about it. All right.

Hot take, chat GPT is making us all dumb. All right. I'll say it. It is because it is so smart. It is, I think, making us all dumb. If you are using chat GPT to this, it's fullest extent, you know, which I am. A lot of times I start my day with, you know, giving chat GBT, 10 YouTube videos, a bunch of PDFs, a bunch of links in saying summarize all this for me, right? So even 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 GPD either is making us all dumb or will. 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 Rastafas says, I disagree. You have to get smarter to engage. Yes, 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 education. So next, knowing chat GPT will become an essential job skill, okay? Adobe just introduced an entirely new way to create, bringing the power, and precision of its creative suite into one conversational experience.

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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, chat GPT, 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 going to 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. All right. Let's keep it with the hot takes. 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. 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 out. Well, I just said that. You don't know how to use chat chbtee. Let's, we don't even need to talk about that.

All right, 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 one question. So the internet obviously brings the world of information to our fingertips. ChatGPT allows us to process information like a supercomputer because that is what it is. So let's keep you going with the hot takes.

Not spending $20 on chat GPT 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 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.

Yes, they can both make calls, but one is not comparable to the other. So if you are not, I'm not paid by chat GPT, 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. Parents, if you think your kids aren't using it, they are. Teachers, professors, if you think you're banning it, you're not.

All students are using it, period. Another one, hot take, here we go. Higher ad in the U.S. is dropping the ball on AI and chat GPT. You know, it's, I don't know why. You know, there's the famous story of the, you know, University of Texas professor that failed everyone because he said, oh, you're all using it. And I asked chat GPT if this text was chat GPT. Number one, that's not how it works. We'll talk about that here in a second.

But number two, higher education should be encouraging, almost requiring, requiring it. That's what I, next hot take. Chad GPT, Bard, et cetera, 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. Right. So that's just the reality.

I'm sorry. I'm sorry if 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. All right. Speaking of, hot take 12, we only got 11 more. AI content detectors do not consistently work. They don't.

They are, I mean, there are 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 test. We'll have to find that. Maybe we'll share about it, but they don't work. All these content detectors do is they look for commonalities. That's what it is. That's all it is.

So you can take copy and paste something from chat GPT. If you know what you're doing, change 10 words out of 1,000, and it's not going to be detected. It can come from, oh, 100% AI, change 10 words out of 1,000, 1% AI. Same thing. And we did these tests, something I wrote. And then I changed a bunch of it to say, all right, here's how chat GPT goes. So it goes from 1% AI to 99%. 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 chat GPT parent company. So he said his two main concerns with this technology were disinformation and economic shock. 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 two things, I mean, we're going to see them play out here. I think now, especially over the next 15 months. And here's why. Hot take nine, 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 version are we on now? 5.2, good luck.

You know, I've taken probably 500,000 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, you know, spent thousands of hours editing. It is hard to tell. If you have a good prompt and if you're using the technology correctly, it's almost impossible to tell.

All right. Here we go. Hot Take 8. The U.S. economy is reliant on tech and AI stocks. One of the only reasons why I think we aren't in a full-blown recession here in the U.S. 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 going to talk more about GPU chips as we go on. So right here, GPUs are the new gold. All right? If you are looking at the market and companies like Nvidia, you know, these big tech companies, that are making chips, they are controlling 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 Facebook, Instagram parent company, your IBMs, all the companies that are pushing everything, they are reliant on these GPU chips. 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, is saying like, hey, should the U.S., should we ban or limit exports of these chips to other countries? Because it is going to become like a natural resource like gold, like water, like medicine. These chips, at least right now until other companies and other countries can keep up or surpass what we're

doing here in the U.S. until that point. It is the new gold right now. All right. Yes, 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. 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. Dr. Castro, some education institutes will be replaced with YouTube college. Yes, Khan Academy, 100% agree. Yeah, I think if universities don't keep up, you know, online programs will be just as impactful, maybe more. All right, let's keep it going.

We have a couple more. Our top, top six, hot takes with AI. Again, the 50th edition, the 50th episode. the 50th episode of your everyday AI. So top six, here we go. 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 you start your day with. So we'll see, I'm pretty excited for the Windows co-pilot where they're working AI into the actual operating system, not into, you know, logging on to 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. All right, here we go, top five, top five hot takes. Here we go. Number five, the U.S. 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 rules, laws, and regulations, I don't think the U.S. is going to. One, I don't think our leaders fully understand AI.

If you follow U.S. 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. And the questions that they get asked will show to, 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. Hot take four, AI will take center stage in the 2024 U.S. presidential election. 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 course, they're using it to. write the commercials, but the actual imagery, they're using fake images as well. It's going to take Center Sage. Hot take number three, the AI hype isn't overblown. It's actually grossly underestimated. All right. So if you think that this is the height of the AI boom or the AI hype, it's not.

This is the beginning. All right. Number two, access to AI will become a global. debate, 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's started to pick up, especially the last couple of weeks as we've started to view, you know, GPUs and just the AI technology is more of an asset on a country-by-country basis. It's going to be interesting how this plays out, but I think it's going to become a global debate.

And last, but not least, the last hot take, if you're not learning AI right now, you're asking to be replaced. Again, there's, of course, 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 going to use search engines, right? It's the same thing, but probably exponentially more important. I'm going to repeat this one one more time. If you're not learning AI right now, you're asking to be replaced. All right.

That was a lot. This was a long live stream, 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 and 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. We started this everyday AI project about three 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.

But if you feel overwhelmed, that's okay. It can be overwhelming, right? How quickly AI is changing the landscape, especially here in the U.S. And I understand that. 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 going to get feel left behind. So number one, subscribe to our newsletter. Go to your everyday AI.com.

It's a free newsletter. Read that. It takes six, seven 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 one, take advantage of everyday AI. Number two, 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. 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 U.S., from the financial sector to healthcare to business administration, everything, things, the rule books are getting are getting rewritten at a much faster pace than they ever have before, largely because of AI.

So I hope this was helpful for you all. I know this is a bit longer of an episode, but thank you for tuning in. So please go to your EverydayAI.com. Subscribe to the free daily newsletter. We won't see you tomorrow. So happy 4th of July to U.S. listeners, and we will see you back Wednesday. And every day after that, on everyday AI. Thanks.

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And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going. For a little more AI magic, visit Your EverydayAI.com and sign up to our daily newsletter so you don't get left behind. Go break some barriers and we'll see you next time.