Explore the unique strengths and limitations of ChatGPT compared to traditional search engines, and discover how generative AI is reshaping digital interactions. Delve into the differences between free and paid ChatGPT accounts to understand their impact on features and functionality.
Key Insights
- Highlights that ChatGPT generates real-time, personalized responses rather than pre-scripted answers, distinguishing it from traditional search engines like Google, which primarily present static website results.
- Discusses the introduction of ChatGPT's paid "SearchGPT" feature, enabling users to get answers with cited sources, blending the convenience of AI-generated responses with the reliability of referenced content.
- Emphasizes the intensive processing requirements of generative AI, citing NVIDIA's strong stock performance as evidence of the importance of GPUs in supporting AI server farms and complex computations.
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All right, so the first thing is, which I think everybody's already done here, is signing into ChatGPT. And so I'm going to go ahead and do that. So I did not sign in.
Now here's an interesting thing. I actually purposely didn't sign in to it just yet. When you go to ChatGPT, notice I'm not logged in right now.
Sometimes they'll actually let you message them and you don't even have to log in. Now you're not going to get all of the advanced features, but it used to be that you had to log in right away. But think about when you go to Google, do you have to log in with your account? That'd be annoying to have to log in with your account, right? If you just want to get basic features when you go to ChatGPT, assuming they don't have over demand.
So demand fluctuates and AI stuff requires a lot of processing power. It requires a lot of energy. The servers that are running this have to do a lot of complex computations.
So one of the reasons why NVIDIA stock is so high is because NVIDIA processors, their GPUs, are being used to power a lot of AI processing that's being done online. So there's whole server farms running AI stuff. When you send a request, it's got to go to a computer that's got to process this artificial intelligence and send back a response very quickly.
That's very computationally heavy. Computers are getting better at doing this. They're trying to create more efficient, faster models to do this, but some things take longer than others.
And so it takes a lot of energy and power. So during peak demands, they might make you log in. If everything's going okay, they might not.
Don't think you're going to get all the features of ChatGPT though, if you're not logging in. And let's say, you know, you could ask it some question here, but if you want to log in because you want to have a history and because you get more features, when you log in, you're going to be able to do more stuff than just the free, not even logged-in kind of account here. And so I'm going to go ahead and log in with my account.
And also, I have both a free account and a paid account. So I can show you the difference. I'm going to be logging in here with the paid account and there will be some differences.
And we'll be going over the difference between the accounts, of course. And I'm going to sign in to my other browser here, because I have two browsers here. I'm going to sign in with my free account, just so I can show you the difference here.
Another account that I have open on this screen. Now I can show you the differences. When you sign in, let's say you have a free account here.
If you've done some other things in the past, you can see your past chats. There's no organization that we can do over here. I wish there were some sort of folders that we could do, but it's basically just based on when you last interacted with these chats.
So I'm just going to actually delete these old chats here. So I have a nice clean account and all the chats that I create today will be over here. All right.
So let's say we want to do a chat. We have to write in something, right? We have to ask it something. So what we could do is we could ask it a question and then we're going to go through all the different examples, things we can do.
We could say, Hey, I'm not even sure what you can do. Like, "Tell me what you do."
Like when you meet somebody, you're like, "Hey, what do you do for a living?" Right? We can say the same thing to ChatGPT. So I could say, "Tell me 20 things you can do." Now, all of you go ahead and type in the same thing into yours. Say, "Tell me 20 things you can do, " or, "What are 20 things you can do?" Notice how it's kind of writing this as we go through, because it literally is generating this kind of pretty thing.
The next words, that's not just some pretty animation. It actually is literally what it's doing. Now, does yours look like mine? Every single one of you has a different response.
Interesting, right? Remember this is, so, okay. Think about it. If you ask me to tell you a story every single day, do you think I tell you the same thing exactly word for word every single day? No, because I'm not going by a script in my mind that I've memorized.
I'm going to try to tell you that story and I might be able to be close, but unless I have absolutely memorized it, I'm probably going to tell it, like, if I'm just making it up on the fly, I'm not going to be able to make up the same story. This is being made up on the fly for you specifically right now. So in the same account, if I ask this again, maybe even in a new chat, it would give me a different response.
This response will never be given exactly word for word potentially ever again, because it was uniquely created for you at that very moment. That's why it's generative AI. It's not that it was pre-trained on, these are the answers to always give people, give everyone the same answer.
It created that on the spot for you. The thing is, this is a chat. So let's say you said, "Tell me 20 things."
And then now you're like, "Make it longer." So I just said, "Here's 50 things, " and I can say how many, right? This is a chat. This is not pulling answers out of a box.
I'm having a conversation with a digital thing. So by its nature, it wants to create. How does this respond to asking the question in Google? If I say, well, first of all, let's say I want to do something like, "What are the key principles of effective communication?" So maybe that's something that I want to learn, right? And let me just copy a piece of that here, so I don't have to type it in.
If I were to Google this, if I Google that, does Google give me answers? They give me links to websites. Can I go read about those? Sure. And sometimes they're taking stuff from across the web and they're starting to synthesize that in a way, kind of copying and pasting from lots of websites and maybe they give them credit here, but like, you see how, if I'm trying to just get a straight list of things, like this is a link, this is searching the web.
I'm trying to find this on the web. I'm trying to find websites that talk about this. And can I have this be made shorter, longer? Can I have it tailored to me in any way? No, because it's all pre-made stuff.
Now I know that there's now this AI overview. So Google, they have their own AI. Google starts with a G, so they call theirs Gemini.
So Gemini is like Google’s version of ChatGPT. Everybody's getting in this game. Like everybody wants to be the next AI that everybody uses.
So Google has theirs. And sometimes now they will start to do the same kind of ChatGPT-like thing. And they have their own Gemini app if you want to use that too.
All very similar. Whichever generative AI you start with, all of them work in very similar ways because they're all this new technology that they've kind of created. But when it comes to Google, I want to link to a website to go read about this thing.
But this is not crafting the exact information for me in exactly the way I want it. So for example, if I realize I was just asking general stuff. Now I'm like, well, I'm a Marketing Person.
So maybe I say, "Tell me 20 ways you can help me do marketing." Pretending that I'm a Marketing Person, right? Because all different types of people are going to use this. So this is very different.
And now, could you have found an article online about 20 things that… Also, this is 20 ways it can help me do things. Because this is like a virtual assistant. Is Google a virtual assistant? Is it going to help you do things? Is it going to tell you how to do things? Well, it's fast.
You might be able to find videos to watch. You might be able to find articles to read. But you can't interact with it as a person, as a virtual assistant in this way.
ChatGPT is not a copy-paste engine. It is not copying and pasting. It is using and synthesizing that information, mixing it up and regurgitating it for you specifically right now.
And that's why they call it artificial intelligence. Because it is not just regurgitating stuff. It is actually figuring out what you want and giving you what you want using whatever information it has based on its knowledge.
So it's very different from trying to find links to websites. Now, just recently, they did launch… So let's say I create a new chat here. In a free account, you can't do… So there's ChatGPT and they just introduced SearchGPT.
That's a paid feature. If I switch over to my paid account here, this is my paid account. There is a Search the Web.
But now, if I were Google, I'd be like, oh, crap. They're coming for me because Google makes its money, how? 70% off of web advertisements, specifically Google.com. If I were Google, I'd be kind of freaking out a little bit now with things like ChatGPT doing search. If I say I want to do a search because I want links to websites for things, so then I could say, "What are the key principles of effective communication?" And I'm searching the web.
I'm saying, go online, search the web, and link out to places that are giving me stuff. But you compare this to Google's search page, which is filled with ads. First of all, they told you the answers and they told you where they got them.
Very different in its approach where Google was like, oh, here's links out to articles, go read them. Here, they're kind of mixing the presentation of saying, these are these things. Oh, and by the way, this is where I got this.
Oh, and this is where I got that. And you can click it and you can go out and you can read more and you can vet the source because this is not based on their pre-training. This is based on actually looking at web sources and giving attributions to those sources.
But that is a paid feature of ChatGPT. It's saying, you're asking a question, I'm going to answer it, but cite my sources. Whereas regular ChatGPT is just using its general knowledge.
It does not just cite one source. No. Yeah.
So like there's Indeed, there's… so there's multiple, I mean, some of these are from the same place, but there's multiple sources in here. Yes, if you want the sources cited, then the web search can be nice as a mixture of the two.
So it kind of sits between Google where you have to do all the work and ChatGPT where you don't know where it's getting the answers from. This sits in between. It's like the answers from ChatGPT, but with cited sources.
Can I say that this stuff can be right or wrong? This could still, it's still being generated by ChatGPT, but, you know, because it can still make mistakes, even getting that information. Because it could misunderstand something, but at least you can go to the source and verify that ChatGPT got it right. So it helps you hold it more accountable because you can double-check it.
Whereas regular ChatGPT, you can't double-check it because you don't know where that source came from. But you also have to stop thinking of this as just an answer engine too, because it's not just an answer engine. Yes.
One of the things is I can ask questions, but I can also have it do things, as we're going to see. There are lots of different things that we can have ChatGPT do. But that's actually, this is a very new feature.
The last time I taught this class, that feature didn't exist. They just launched the SearchGPT. And notice down here at the bottom, they even say they're like, "ChatGPT can make mistakes. Check important information."
Even in this, anything you read that's written by ChatGPT could be wrong, but also, could these websites be wrong? They're written by people. Can people be wrong? So, I mean, everything needs to be vetted, right? Whether it's written by people—"Oh, it's on the web."
"It must be correct." No, just like, "Oh, it's in ChatGPT. It should be correct."
No, we have to vet everything out there. And this is where I don't trust AI to just be autonomous and doing everything for me without me looking at it and checking it. Because I need to be the person who vets this stuff to decide, is this output good? Is it trustworthy? Do I want to use it versus just letting it do everything on its own?