Ep 206: There is No AI Hype – This is how the world works now

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Breaking the Barriers with Generative AI

The world of artificial intelligence (AI) has evolved tremendously, becoming more approachable and widely applicable for everyday business use. The once exclusive arena for computer scientists has opened its gates to a broader audience, all thanks to the emergence of generative AI. Developed by forward-thinking innovators over more than a decade, the power of generative AI lies in its potential to transform business processes and drive economic growth.

Generative AI: At The Peak of Inflated Expectations

The Gartner hype cycle, which tracks the lifecycle of various technologies, places generative AI at the peak of inflated expectations. This placement indicates the high optimism and anticipation surrounding the technology's potential. The hype surrounding generative AI is reminiscent of the early internet era, with massive investment streaming in from large enterprises and tech companies alike.

AI's Business Transformation

Drawing parallels with the dot-com era, today's economy is experiencing an all-time high in generative AI investment. Key players in the tech sector, such as Microsoft, Google, Meta, and NVIDIA, have allocated significant budgets towards generative AI, marking an unprecedented shift in economic focus.

*Generative AI and its Impact

Generative AI is not just another point on the Gartner hype cycle but represents a paradigm shift akin to the industrial revolution. Its potential outstrips that of cloud computing in the early 2000s and 2010s. Harnessing generative AI's power allows for the creation of new intelligence and discoveries, challenging existing business norms and offering a low barrier of entry with high potential.

Future-Proofing with Generative AI

The significance and impact of generative AI cannot be underestimated. Entities that dismiss or downplay its potential run the risk of being left behind, hindering their business's growth potential. Embracing this forward-thinking technology is the key to staying ahead in an increasingly digital world.

Navigating the AI Hype

While there's a great deal of influence and importance attached to AI and generative AI, embracing them requires a nuanced understanding of the technologies. A robust strategy involves learning and consistently practicing generative AI techniques to navigate the hype and leverage its potential for future growth.

Generative AI is more than just hype; it's the new normal – transforming the way the world works and driving the 21st-century economy. By understanding and harnessing its potential, businesses and professionals can unlock unprecedented opportunities for growth and innovation. It's not a question of if but when generative AI will become an integral part of everyday business operations.


Topics Covered in This Episode

1. Comparisons between Generative AI and the Internet era
2. The importance of understanding and keeping up with AI
3. The shift in powerful industries
4. The Current Economy's AI Focus
5. Generative AI Hype Cycle


Podcast Transcript

Jordan Wilson [00:00:16]:
Can we stop talking about the hype Around artificial intelligence.

Jordan Wilson [00:00:22]:
Can we stop that now?

Jordan Wilson [00:00:24]:
Are we past that point? Here we are 2 plus years into ad The generative AI wave. And guess what? The waves are still crashing. Alright. We're gonna talk about that today and more on Everyday AI. Welcome, and thank you for joining us. My name's Jordan Wilson, and everyday AI is for you. So this is a daily livestream podcast and free daily newsletter Helping everyday people like me, like you, not just learn generative AI, but how we can all actually leverage it To grow our companies and to grow our careers. That's what it's all about.

Jordan Wilson [00:01:04]:
Right? You can read about it. You can think about it. You can talk about it, but until you use it to grow your company and grow your career, Generative AI is not working for

Jordan Wilson [00:01:13]:
you. Alright.

Jordan Wilson [00:01:14]:
So we're gonna talk today a little bit about that there is no hype around AI, and and I'm gonna talk to you a little bit about what that means, in so many countless conversations that I've had, and that This is just how we work now. Alright? GenAI is how we work. Alright? So if you're joining us live, Thank you as always. If you're joining us on the podcast, make sure to check out your show notes. So so look in the episode description. We always have, Additional information related episodes, links. You can email us. You can connect with me on LinkedIn.

Jordan Wilson [00:01:49]:
Make sure to do that. And as a reminder, This is a live show. People don't know. Yeah. This isn't edited. You know, we don't have a team of 6 people that waits 3 weeks to put out an episode. We go live at 7:30 AM Central Standard Time here in Chicago, and the podcast goes out, like, 2 minutes after. This is the realest thing in artificial intelligence.

Jordan Wilson [00:02:08]:
Alright? Hey. Megan, thank you for joining us. Our livestream audience, I love it. Jay, thank you. Doctor Harvey Castro. Hey, Juan joining us from in Chicago. Alright. We're holding it down for Chicago.

Jordan Wilson [00:02:20]:
Rolando joining us from South Florida, Brian from Minnesota, Daniel from Buffalo. Thank you all for joining us, but I wanna hear from you as well. What do you think? Is AI all hype? Is there substance? Is this just how we work now? I wanna hear from you all. Alright. As a reminder, please go to your everyday ai.com. Sign up for the free daily newsletter. We're gonna be recapping today's show, and we do it for literally Every single show. I tell people, it is like a free generative AI university on our website.

Jordan Wilson [00:02:51]:
You can go in, And we've had probably now more than a 140 guests over 200 plus shows. So you can go read, you know, old, Newsletters with so much information or maybe if you care about, you know, sales or if you care about marketing or if you care about entrepreneurship, whatever it is, we have all of those categorized On our websites, you can just go learn from the experts about anything in the world of generative AI, all for free at your everydayai.com. Alright. So let's talk real quick about the AI news for today, February 13th. Alright. So AI is threatening white collar jobs According to a recent report in The Wall Street Journal. So the article in The Wall Street Journal shows that it's not just blue collar jobs at risk to AI and automation. So this new report details how companies like UPS, Duolingo, Google, and others have laid off the white collar workers in parts due to AI.

Jordan Wilson [00:03:46]:
And so while the, direct impact of generative AI on job loss is currently low, the trend is growing, and we've been talking about that Since day 1 here. Alright. Our next piece of news. Well, how do you make AI better? More agents. Right? I think of the skit from, Will Ferrell, more cowbell. Alright. So a recent study by Tencent researchers found That language model performance can be improved by adding multiple agents without the need for complex prompt designs or collaboration frameworks. So, researchers here looked at the sample and voting method, which uses multiple language model agents in majority voting, And this was proven to be effective in improving performance.

Jordan Wilson [00:04:29]:
So performance gains were seen when adding more agents, but there is a threshold beyond which Further improvements are not seen. Y'all, we're gonna be hearing a lot more about agents as we talked about on the show yesterday. Alright. Our last piece of AI news for today. NVIDIA has leapfrogged Amazon and Google and is now the third and Most valuable company in the US according to Market Cap, behind only Microsoft and Apple. So Microsoft has Surpass the market value of Amazon and, Google parent Alphabet, reaching $1,830,000,000,000 in its market cap As its stock has quadrupled in 15 months due to its position as a leader in AI. So NVIDIA stock, get this, over the past 10 years, Has grown 17,000 percent increase in 10 years, making it the best performing stock on the s and p five 100 during that time. So its strong earnings and success in the AI industry have attracted investors and analysts with further growth expected.

Jordan Wilson [00:05:32]:
So like we said, NVIDIA's market cap just topped out, yesterday at 1.83 trillion while, Alphabet sits at 1.82 And Amazon at 1.8. So it could change, you know, by the time markets open here any second. But at least, yesterday, NVIDIA passed everyone to be the 3rd most, the 3rd highest company. And you know what? If if only someone would have told you, you know, like, 10 months ago that NVIDIA is the most important company in the United States. Oh, wait. That was me. Right? Yeah. Oh, yeah.

Jordan Wilson [00:06:04]:
I told y'all how, NVIDIA was the most important company in the world 10 months ago. No one believed me. No one no one understood, but here we are. Here we are today with with proof. Hey. Speaking of NVIDIA, I'll be at the GTC, their, conference. It's back in live, in March later March in San Jose, California. So, hey, let me know.

Jordan Wilson [00:06:25]:
Let me know, here in the live stream if you're gonna be there. You're out in the San Francisco, San Jose area, or if you're going to, if you're listening to the podcast, you're gonna be there. Let me know. Alright. Let's talk about this. Let's talk about the AI hype cycle and just around this concept of of AI hype. Alright. Let's start with first a very quick history lesson.

Jordan Wilson [00:06:50]:
AI is not new. Artificial intelligence has been around, has been used widely in various sectors, for decades, Many decades. Right? When you're talking about the financial sector, it's been used in fraud detection for multiple decades. When you talk about, health care, you know, artificial intelligence is not new. Let's start there. Right? But we need to differentiate. We need to differentiate between what I like to call traditional artificial intelligence. So that is your, You know, your your deep learning, machine learning, you know, these high entry, pieces, you know, for Traditional AI.

Jordan Wilson [00:07:33]:
Right? When you need tens of thousands or hundreds of thousands of data points, you need a probably a data scientist or a machine learning specialist. Right? That's how artificial intelligence has worked for for many decades. So, again, AI is not new. Also, generative AI is technically not new either. Right? That's what we talk about here at Everyday AI. We talk about generative AI. And so what's the difference? Well, I tell people, Think of generative AI like 3 boxes stacked on top of each other. Right? The top box is see through.

Jordan Wilson [00:08:07]:
The bottom box is see through, and the middle box is a black box. Right? And on the top, you have your inputs. You know, and these are essentially your prompts, and they flow downward into the black box. Alright? And then the black box With these simple prompts, right, these text prompts or maybe image prompts or whatever it may be, create something magical. Right? It it generates something that you wouldn't think possible just by simple prompts. And then the output, that 3rd box on the bottom is is the output. Right? So small, Simple prompts go in the top box. The middle box is generative AI.

Jordan Wilson [00:08:42]:
It does a bunch of magic in there, and then it spits out on the bottom something 10, a 100 times greater than the prompt that came in. So our definition of generative AI has has changed a little bit. Right? As these generative AI systems become more approachable as the barrier for entry is now at about 0. Right. Because let's be honest, this is why generative AI has blown up over the last year and a half. It's because traditional AI, like I said, you legit had to be a computer scientist. Right? You legit have to, like, Play with decision trees in in the sandbox as a kid. Right? Artificial intelligence, you know, Traditionally, when we talk about the seventies, the eighties, the nineties, the early 2000, it was sparsely used in the business community because it was hard.

Jordan Wilson [00:09:35]:
Alright. So now what happened in that little generative AI black box that I just talked about, the smartest people in the world have been working for more than a decade To bring artificial intelligence, to bring that deep learning, machine learning, these neural networks, and to make them applicable for our day to day business use cases, To make them powerful for everyday people like you and me. To make them easy to bring down the barrier of entry to about 0. Y'all,

Jordan Wilson [00:10:04]:
If you can type on a computer you don't even need to type. Right? If if if you can hit a button on your computer and speak to it, You now have the abilities and power that

Jordan Wilson [00:10:21]:
10 years ago used to take the smartest people in the world, and it's greater now. Right? We can generate things with generative AI so quickly that are so powerful.

Jordan Wilson [00:10:33]:
Alright. So now with that, we got a little history lesson on generative AI. Let's take a look. Right? Let's take a

Jordan Wilson [00:10:39]:
look at this. So if you're joining us on the podcast, I'm gonna do my best to explain this, but So much

Jordan Wilson [00:10:44]:
of what we talk about around hype. Just the word hype. You know, a lot

Jordan Wilson [00:10:49]:
of it actually traces back to the Gartner hype cycle. Okay. Every single technology, you know and and let me put this out there. Gartner is a great research organization, some of the smartest minds in the world. Alright. So, with a lot of different technologies throughout the course of, you know, human history, especially recently, you know, they they plot These different technologies, and they say, hey. You know? I'm simplifying here, but they essentially say, hey. All technologies follow a a certain path or a certain cycle, you know, both when they're first announced, you know, when they start to get implemented, you know, when people really start to use it, and then it, you know, kinda kinda dies off.

Jordan Wilson [00:11:29]:
Right? So one of the most common statements that I get from people or questions is, hey. What do you think about the hype around AI? And, y'all, it's gotten to the point where I'm actually so tired of answering that question. That's why I'm like, okay. Today on hot take Tuesday, Which, by the

Jordan Wilson [00:11:50]:
way, I didn't ask y'all. How hot

Jordan Wilson [00:11:52]:
should today show be? Throw throw some emojis. Let me know. I'm feeling not super spicy, so we'll see.

Jordan Wilson [00:12:01]:
But, traditionally, every single technology is, you know, kind of charted. Okay. So as we look at this as we look at this, you have your innovation trigger. Alright. And then you have your peak of inflated expectations. And then you have your trough of disillusionment, Your slope of enlightenment and your plateau of productivity. Right? So these different, kind

Jordan Wilson [00:12:30]:
of technologies depending on where they at, Gartner plots them. Right? According to Gartner, we are Right now at the peak of inflated expectations for generative AI, it is at the top, The very top of that roller coaster. The very top of that curve. Right? We are the the the peakest of the peaks For inflated expectations. So according to the smart researchers from Gartner, according to everyone else that follows this as well. Right. People actually follow this and make business decisions based

Jordan Wilson [00:13:07]:
on this. I've heard of this. Right? I've heard companies now say, well, we're gonna wait. You know? We're gonna wait on this generative AI thing. We know it's at its peak. We know the hype is at its peak. People use this Gartner, hype cycle terminology and day to day business conversations. Alright.

Jordan Wilson [00:13:31]:
Well, because Brian went, like, 20 emotions, emojis here With with a lot of flames. I'll say this.

Jordan Wilson [00:13:41]:
This is all wrong.

Jordan Wilson [00:13:45]:
Literally all of it. You cannot chart Generative AI. On a on a hype cycle.

Jordan Wilson [00:13:57]:
Wrong. You literally cannot do it. Alright. Like, literally. Let's let's look at some other things on on the hype cycle here. Alright. So, I'm I'm having to manually zoom in with with with my eyes here. So, we have things like knowledge graphs, edge AI, Computer vision.

Jordan Wilson [00:14:17]:
Right? So all of these related technologies, AI engineering, etcetera. So, you know, here's the thing.

Jordan Wilson [00:14:25]:
You cannot chart generative AI. Alright. Let's let's talk about why this is wrong, and Let's take a quick history lesson, shall we? So, I wanna look because one of the most common Comparisons that we get is comparing generative AI to either computers or the Internet. Right? That seems like, alright, when we look

Jordan Wilson [00:14:48]:
at the past, you know, 3 decades of of technological innovation, it seems like, oh, that's an apples to apples comparison. Right? Generative AI, let's chart it or let's, put it on this graph similarly to the Internet. Alright. So let's talk about the Internet era. So in the early days of web development, large companies had less capital allocate towards Internet focused research and development compared to their overall portfolios. It was an unproven space. Alright. So so so what we're doing here is we're looking at these different eras and how the business world reflected across these different areas.

Jordan Wilson [00:15:30]:
Alright? So in the early Internet era, so we're talking, 30 you know, about 30 years ago. Right. Mid nineties, late nineties. I would say the .com, You know, the .com, gold rush, you could say is very similar to what we're feeling with generative AI today. People that have, you know, been in business and have been working since those days often draw and make that comparison.

Jordan Wilson [00:16:00]:
They say, yeah. We've been here before. You know? Oh, yeah. The .com. You know? Yeah. The economy went soaring, and

Jordan Wilson [00:16:06]:
that's what we're seeing now. Right. Our economy hits all time high, all time records, almost, you know, I just I like, almost like every other week. Right? Breaking all time records for, our major indexes here in the US.

Jordan Wilson [00:16:20]:
Same thing. I think we hit an all time high yesterday in the Dow, or maybe it was last week. So people are making that comparison to the Internet era. However, in the Internet era, Companies didn't have 100 of 1,000,000,000 of dollars to invest like they do now. There was no $1,000,000,000,000 market cap companies in the .com era. Right? It is play money now. Right? These $1,000,000,000,000 tech companies have play money, which they did not have. Companies didn't have that.

Jordan Wilson [00:17:01]:
Right? You know, back in

Jordan Wilson [00:17:02]:
the nineties, there was you know, your your your big companies were a lot of energy companies or oil companies. Right. It wasn't tech companies. Now you look at the most powerful companies in the world, in the US, all top 6. So, you know, we often talk about the magnificent seven here. They're all they're all tech. They're all AI. Right.

Jordan Wilson [00:17:26]:
All of the biggest companies in the world right now, especially here in the US, are all AI heavy, are all AI focused. It wasn't like that 30 years ago. Another reason you can't equate Today's quote, unquote hype with what happened 30 years ago and try to chart it accordingly. That is not an apples to bananas comparison. That is not even an an apple to fruit comparison. It's an apples to baseball comparison. Two different things. Let's keep going.

Jordan Wilson [00:18:00]:
Let's look at cloud computing. That's the next, you

Jordan Wilson [00:18:03]:
know, kind of the next, I'd say comparison that a

Jordan Wilson [00:18:07]:
lot of people like to like to make. Right? So a slow transition in the early 2000 and 2000 tens in the tens. Is that what we say, the tens? Right? So in the mid 2000, for about a decade or so, we had the cloud era. So let's talk about how companies invested then. So their investments increased, but It followed a longer adoption curve as businesses transition from on premise IT, and then you had major players like Amazon with AWS by the way and others cautiously observed. Okay? Cautiously. You had a period where about 10 years

Jordan Wilson [00:18:53]:
where you had 1 or 2 leaders In cloud computing such as Amazon make heavy investments, and those heavy investments gradually Made early adopters into cloud computing some of the most profitable and some of the most valuable companies in the world. But this happened over the period of a decade or more. Right? And it was really the cloud computing era that gave us our valuable tech companies up to date, But it was a long period. It did not happen seemingly overnight. So let's look at GenAI today and, again, how things are different.

Jordan Wilson [00:19:40]:
So now you have giants like Microsoft, Google, and Meta that are allocating massive budgets, NVIDIA as well, massive budgets with generative AI becoming central to their strategic thinking. Ad 1,000,000,000 of dollars are flowing in, dwarfing even early cloud investment levels. That's the thing. I don't think the average person, maybe even most people listening, understand what tech titans have become today. They become venture arms. It wasn't like this 15 years ago. Right? You literally have all of these tech trillionaire companies, Your Amazons, your Googles, your Invidias, your Metas, Apple, etcetera. They are all they are all investing 1,000,000,000 with a b, 1,000,000,000 of dollars into outside generative AI companies.

Jordan Wilson [00:20:34]:
So, yes, they are making acquisitions to bring companies in their own house, right, or under under their own roof. They're investing their own money. Right. Apple reportedly is investing more than $1,000,000 a day in development of its next generative AI product, right, which, in theory, should be announced here in June. They are spending 1,000,000,000 of dollars internally or on pace to spend 1,000,000,000 of dollars internally. They're spending 1,000,000,000 of dollars on acquisitions, They are investing 1,000,000,000 of dollars into third party companies that at least for now they have no thoughts of acquiring. Right? You have companies Like like Anthropic, right, that have raised 1,000,000,000 of dollars from multiple outside tech titans.

Jordan Wilson [00:21:15]:
The business world is changing, and all of the money is flowing in generative AI. Again, do you understand what's happening here? This is not hype. This is, at least for now, in what I see as the and foreseeable future. This is literally how business is now getting done. Alright? GenAI isn't a a a hype cycle. It's not a phase. It's not a fad. It is now how the world works.

Jordan Wilson [00:21:48]:
You can't make that argument. Never in the history. Go check the facts. You know I bring receipts. Never in the history since, you know, we've had our stock market has this high percentage of the US economy, of the US capital, all been invested in a single technology. Is it a big risk? Sure. Right? Because you can make the argument, oh, you know, 1 one big slip up in the GenAI space, and, you know, it impacts the entire US economy. Yo.

Jordan Wilson [00:22:24]:
This is also why I've been saying for a year that there won't be any meaningful legislation here in the USA Because generative AI is too important. We are not going to see any anything like the EU AI Act. Right? Might see an executive order, but we're not going to see legislation. We are not going to see meaningful laws that get passed both bodies of congress and become an enforceable law. That is not going to happen

Jordan Wilson [00:22:52]:
because generative AI right now Smartest people

Jordan Wilson [00:22:56]:
in the room know this, but

Jordan Wilson [00:22:57]:
most people don't. It is not a hype. This is our economy. Right? This is how business is done. Alright. So I'm gonna go through here. I'm gonna read a little little background.

Jordan Wilson [00:23:17]:
Alright. Now we're going back. We're going backwards now. So I wanna explain the thought process behind the the hype cycle that I showed you. Right? I'm gonna draw some comparisons. I'm not gonna go bullet points here and and disprove every single thing, but, you know, I I I always like

Jordan Wilson [00:23:33]:
to tell both sides of the story. Former

Jordan Wilson [00:23:37]:
journalist in me. Right? I was a journalist for, I don't know, 7 years. You gotta tell both sides of the story. I obviously have a strong opinion But I wanna tell a little bit more about why and how this concept of AI hype has been born, how it's been adopted and how I think business leaders are getting it wrong by trying to graph something like generative AI on a hype cycle. Anyways, so let's let's think and let's look at this hype cycle, right, where we at. We are at the the peak. Right. We are at the very peak of the hype cycle.

Jordan Wilson [00:24:13]:
According to the hype cycle, things will never

Jordan Wilson [00:24:16]:
things will never get better. Guess what? That was from 2023. So guess what? Were we at the peak in 2023? The absolute peak of inflated expectations when this Gartner study came out as of July 2023, 7 months ago? Absolutely not. We have gone even higher, which is why I tell people, stop paying attention To this supposed hype cycle. It's wrong. Alright. But let's explain it. Let's explain it, and then I'll tell you why it's wrong.

Jordan Wilson [00:24:56]:
Alright. So generative AI, According to the to the, you know, Gartner study, and, again, I'm not picking on Gartner here. There's been plenty of studies that have come out in

Jordan Wilson [00:25:05]:
the last year or 2, where people have said, oh, yes. You know, GenAI is a phase. It's a fad. It's at its peak. Right? But I think Gartner is is one of the, Like I said, they do great work. They're one of the most, respected, you know, group of researchers, and this is one of the most commonly referred to, you know, studies or points of reference. So more about the Gardner study. So it says generative AI is at its peak of expectations, Transforming business processes.

Jordan Wilson [00:25:34]:
Critical technologies include AGI, artificial general intelligence, AI engineering, autonomous systems, and more. They said innovations fueled by generative AI impact, content creation, automation, and experiences. Also saying advancements in generative AI are driven by like AI simulation, knowledge graphs, and responsible AI. Also, Gartner hype cycle showing that organizations are Aggressively experimenting with generative AI leading to significant competitive advantages.

Jordan Wilson [00:26:08]:
Alright. So now let's talk about why that's wrong. Well, first of all, that was from July 2023, and clearly clearly, that was not the peak. If if if I'm saying anything, that's not even the midway point where we were when they said we were at

Jordan Wilson [00:26:23]:
the peak of of of of hype. Right? We were at the the

Jordan Wilson [00:26:27]:
peak of those expectations. Alright? The peak of inflated expectations. Not a chance. Alright. So generative AI is not a spot on the hype cycle. It is a paradigm shift. We are literally on a

Jordan Wilson [00:26:44]:
new graph that we've never been to before. So we cannot say, oh, here we are in

Jordan Wilson [00:26:49]:
the hype cycle. This is literally brand new territory. You cannot draw a comparison. Right? One thing I like to tell people,

Jordan Wilson [00:26:57]:
Especially when they're like, oh, we've been here before. You know? You know, the Internet, cloud computing, computers. No. You know what? I can I can tell If if if I'm personally judging how how knowledgeable someone is in generative AI, what they compare it to? I'd say the smartest people who know about generative AI and and are using it to grow their companies and to grow their careers are saying something like, we haven't seen anything like this since the industrial revolution. And I'm like, yep. That's that's fair. Right? Then you have, Google CEO, Sundar Pichai saying, generative AI is more impactful than fire and electricity. Also true.

Jordan Wilson [00:27:43]:
Right? People don't understand. The Internet, cloud computing, computers, etcetera. That changed how we shared intelligence.

Jordan Wilson [00:27:56]:
Generative AI is changing how we create intelligence. This has never happened before. What happens in that little ad Black box of generative AI. It is we are harnessing the history of human knowledge, human expertise, and skill sets, and we're giving it to everyone. Literally has never been done in the history of humankind. It has not been possible. Alright. And everything else plotted on hype cycles has been easily quantifiable.

Jordan Wilson [00:28:35]:
Generative AI is not. You know, we talked about previous technologies are just how we interact with intelligence, but AI changes how we create Intelligence.

Jordan Wilson [00:28:48]:
It is literally creating intelligence. People don't understand that. They think, you know, oh, that's overblown, Jordan. No. It's not. No. It's not. Generative AI and large language models, people think, oh, they're just autocomplete.

Jordan Wilson [00:29:01]:
Kind of true, but also kind of not. You've had literally large language models make discoveries. We've talked about it here on the show before. Literally make discoveries that humans have been working on for decades. It has solved math problems that the smartest humans in the world have failed for decades to solve. It is finding new discoveries, new new, DNA patterns, new medicines that hundreds or thousands of humans have spent decades trying to do.

Jordan Wilson [00:29:33]:
Large language models, generative AI It's creating new intelligence, creating new discoveries, creating new rules.

Jordan Wilson [00:29:45]:
Do you understand that y'all? Do you understand? Generative AI isn't a chatbot. Alright. Generative AI isn't a little little thing that makes you, you know, cool art.

Jordan Wilson [00:29:58]:
Generative AI is changing how we do business. Right? And I think it's important for business leaders to realize this Because it's I think it's also difficult. It can be difficult as a human being. Right? I'll take myself as an example. I've been getting paid to write for 20 years. Right?

Jordan Wilson [00:30:19]:
I was a journalist. I wrote for big brands like Nike and Jordan. I've written commercial scripts. I've won national writing awards. Alright?

Jordan Wilson [00:30:29]:
So you could say pre GenAI. I was a subject matter expert, you know, in in MarTech and communications. Right? But specifically in writing. Right?

Jordan Wilson [00:30:41]:
And so I think business leaders have this fight against generative and AI technology. They look at it as a threat because they say, you know, I had this thought, you know, originally When

Jordan Wilson [00:30:54]:
I was first using GPT 3, the first time we used it in 2020, I had this feeling. I said, wow. This technology is taking, like, the best writing in the world, and it can be better than me.

Jordan Wilson [00:31:09]:
That's the thing. I think humans, business leaders, we used to have so much pride in being like a subject matter expert, Being, you know, oh, I'm one of the smartest people in

Jordan Wilson [00:31:18]:
the world in subject a. I am I am a business leader in topic b. Guess what? Generative AI is better than you now, period.

Jordan Wilson [00:31:29]:
It's a better writer than me. I've won national writing awards. ChatGPT can write circles around me. Most people don't figure out how to use generative AI correctly. They just put a copy and paste prompt in, they get something bad out, and they're like, oh, yeah. Generative AI isn't isn't good. Let's put it on a hype cycle and say it's dying. It's not how it works.

Jordan Wilson [00:31:50]:
People aren't bothering to understand how to properly use GenAI.

Jordan Wilson [00:31:56]:
Alright. So like we talked about, it's not following a hype cycle. And this is the lowest barrier of entry with the highest upside potential of any technology ever, and it's not even close. Like what I just said, someone with 0 writing skills. Right? Maybe someone's always dreamed of being a good writer, and they've just never been able to. Now guess what? You can use a large language model if you're doing it correctly. Right? If you're using our prime prompt polish PPP method, You can go in there, and you can literally write content. That is better than 99.9% of writers if

Jordan Wilson [00:32:35]:
you know what you're

Jordan Wilson [00:32:35]:
doing. Right? And GenAI is one of the only technologies in the world, this is important, that is iterative At its core.

Jordan Wilson [00:32:48]:
Alright? Let's talk about that. That means that literally generative AI is building itself To be better at GenAI. It is constantly learning from the hundreds of millions of people that are using it. That's what people don't understand. Right? When you're, oh, you you know, people don't understand what it means, you know, that that our data goes back to these big companies. Well, that's why, as an example, You had something like AI images. 2 years ago, they were laughable.

Jordan Wilson [00:33:21]:
Guess what? GenAI

Jordan Wilson [00:33:24]:
is building itself to be better at generative AI. It is constantly learning to be better. Generative AI is building better versions of itself. Now those same images that are laughable 2 years ago look more realistic than human photos.

Jordan Wilson [00:33:48]:
I'm not gonna turn this into one of those 1 hour, episodes, y'all. I wanted to keep this short, Because here is

Jordan Wilson [00:33:57]:
here is the short and simple truth about generative AI.

Jordan Wilson [00:34:05]:
We haven't seen it before.

Jordan Wilson [00:34:08]:
We haven't seen it before,

Jordan Wilson [00:34:12]:
And it is more impactful. It is more powerful than something that you can just Put on a chart. Alright?

Jordan Wilson [00:34:24]:
So hear me out. I'm not saying ignore studies from Gartner. I'm not saying ignore hype cycles. I'm not in saying that. All I'm saying is so many people are wrong when they're talking about AI Because somewhere along the way, someone who is a a a novice or doesn't understand AI or maybe they are a skeptic,

Jordan Wilson [00:34:49]:
You always hear the word hype. They say,

Jordan Wilson [00:34:52]:
oh, it's it's it's not gonna live up to the hype. Or they say, oh, it's overhyped. AI is overhyped. Generative AI is is is it's bound to, you know, go away. You know, ChatGPT can't stick around forever or, You know, Google Gemini, you know, whatever.

Jordan Wilson [00:35:11]:
No. I'm telling you right now. If leaders in your organization feel that way, if they say, oh, we're at the height of the curve, let's wait this out. We don't need to get on board. You will get squashed. Right? If you're in your career right now and you say, ah, man, my company is encouraging us to Use GenAI, these large language models, not really for me. These things are just hyped up tools. Your career will stall.

Jordan Wilson [00:35:46]:
Alright. If you're a business

Jordan Wilson [00:35:47]:
owner Trying to figure out if it's worth it for you to implement generative AI. And you say, you know what?

Jordan Wilson [00:35:58]:
I think if we just, you know, kind of let our employees use ChatGPT kinda like the Internet, that'll be good enough. Right? We'll get back some productivity gains here and

Jordan Wilson [00:36:07]:
there. Wrong. You have y'all, Even when we talked about the Internet, when we talked about cloud computing, we talked about decades. Right? That's why we bring receipts. Right. The amount of investment from big tech companies right now has in in

Jordan Wilson [00:36:26]:
the past 2 years, has surpassed investments over the last 2 decades, and it is not even close. These tech companies are literally printing money. Right? They can't invest the money fast enough. There has never been this much money, this much resources, this much Eyes on any technology, not even during the .com bubble, the .com boom. It is not even close. You didn't have the 7 biggest companies, in the .com era all investing in a single technology. This has never happened. Generative AI is unlike anything we've seen,

Jordan Wilson [00:37:11]:
and you need to understand

Jordan Wilson [00:37:15]:
That AI is not a hype. GenAI is not on hype cycle. If you understand that, and if you show up every day to keep practicing And to keep learning generative AI, y'all will outsmart the future together. Alright. Thank you for joining us. Make sure to join us tomorrow. I'm Excited about this one, y'all. This one's gonna be fun.

Jordan Wilson [00:37:41]:
So we're gonna talk about how AI will allow us all to make music we Joy. This is gonna be a good one. You're gonna have to listen into that one. So I hope today's episode was helpful, y'all. Don't believe a random dot On, charts and go to your everyday AI .com. Sign up for the free daily newsletter. We're gonna be recapping today's episode And a whole lot more keeping you up to date with what's going on in the world of AI, how you can use it to get ahead, to grow your company, grow your careers. That's it, y'all.

Jordan Wilson [00:38:10]:
Appreciate you. We'll see you back tomorrow and every day for more everyday AI. Thanks, y'all.

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