Ep 68: AI Chatbots Are Lying About The Internet – How to stop them


Episode Categories:



In the era of rapid digital transformation, AI has become an integral part of our daily lives, revolutionizing various industries. One of the most notable advancements is AI-powered language models, which can generate coherent and contextually relevant text. However, recent developments have unveiled certain limitations that business owners and decision-makers need to be aware of. In this article, we will explore the nuances of AI language models, their potential impact on internet research, and the necessity of understanding their boundaries.

The Limitations of Large Language Models:

AI language models have garnered immense attention, with cloud-based models like Copilot flaunting their ability to access the internet. However, it is crucial to comprehend the distinction between web queries and reading web links. While these models can access the internet, they do not scrape specific websites. This discrepancy becomes magnified when tasked with summarizing articles or extracting precise information from complex webpages.

Dangers of Relying on AI for Summarization:

Web summarization has become an essential tool for individuals and businesses seeking efficient information retrieval. Recently, advancements in website summarization have been made, with Cloud 2 incorporating updates to its functionality. However, thorough testing has revealed inaccuracies in its summarization capabilities. This may be attributed to the fact that Cloud 2's database is currently based on web content up until September 2021, with a knowledge cutoff.

Understanding the Potential for Hallucinations:

As businesses increasingly turn to AI for web research, it is vital to recognize the warning issued by Cloud 2. The recent update includes a disclaimer regarding the potential inclusion of hallucinatory information in its responses. This serves as a reminder that AI language models generate text based on patterns and contextual understanding, often lacking real-time data and discernment.

Navigating the Path Forward:

To ensure your business utilizes AI language models effectively, it is essential to strike a careful balance. While these models can expedite research processes and aid decision-making, there is no substitute for human comprehension and critical thinking. Business owners and decision-makers should acknowledge the limitations of AI language models and approach them as valuable tools in conjunction with human expertise.


AI language models have undeniably revolutionized the way we interact with technology and process information. However, as showcased in the recent podcast episode of Everyday AI, we must tread cautiously and remain cognizant of their limitations. Incorporating AI into everyday operations requires an understanding of their boundaries and potential pitfalls. By combining the power of AI with human intelligence, business leaders can unlock the true potential of these technologies and drive innovation in a world increasingly shaped by artificial intelligence.

Topics Covered

- Limitations of large language models
- Differences between web queries and reading web links
- Importance of understanding the difference for tasks like summarizing articles
- Introduction of Perplexity as an AI search engine known for its ability to provide citations
- Example of how query results can vary using perplexity
- Discussion on Bard and its recent improvements
- Limitations of Bard, including the inability to access specific information
- Summary of Bard's response to a query about episode 47 of the Everyday AI podcast
- Cloud 2's recent update to its website summarization feature
- Testing Cloud 2's summarization accuracy by asking it to summarize a website
- Use of a specific webpage with videos and a transcript to test Cloud 2's summarization
- Cloud 2's updated warning about its limitations and potential for hallucination
- Mention of Intel integrating AI into every platform and revenue driven by AI growth
- Discussion on chatbots being manipulated to produce hate speech, toxic material, and disinformation
- OpenAI CEO's statement on AI destroying jobs
- Sharing of a link to a free course on how to effectively use AI chatbots for internet research

Podcast Transcript

Daily AI news

Jordan Wilson [00:00:18]:

Are AI chatbots lying to? And if they are, how do we stop it? One of the things that we're gonna be talking about today on everyday AI. This is your daily livestream podcasts, and free daily newsletter. Don't forget about the newsletter. You gotta check it out. But we are here to help everyday people not just learn what's going on in the world of AI because there's a ton, but how we can all actually leverage it. that's the important thing. Alright. So as a reminder, if you're joining live, there's a reason that we're doing this live. It's so you can learn so we all can learn along together. So if you have any questions about why are these AI chatbots lying or can I even access the Internet? let me know. So before we get into that, let's talk about what's going on in the world of AI news.

So first, the Intel CEO made waves yesterday on a quarter 2 earnings call saying that they're going to build AI into every platform they build. Alright? Literally, he said every platform they build, there will be AI integrated. Obviously, Intel's Stock has been going up. They just reported about $13,000,000,000 in revenue for the quarter and attributing just AI driving growth. So No surprise there, but, you know, having the CEO of 1 of the largest companies in the world saying that they're going to put AI into every platform they build I think it's a telling sign for for the future of business.

Alright. Speaking of chatbots, yeah, they're easy to not just They lie to you sometimes, but they're easy to jailbreak too. So a new report from some US researchers, they released a paper just showing that there's some pretty easy ways to jailbreak, Bard, and ChatGPT and other chatbots. So, you know, this has been circulating all over online for a while, but this is one of the first kind of major kind of US or Sorry. 1 of the first major papers from US researchers showing just ways to use these chatbots to produce hate speech toxic material, disinformation. Right? You probably all seen it, but a pretty pretty big research paper that was just released on that. Alright.

The third news item that I wanted to touch on today is Sam Altman. So the OpenAI CEO recently sat down for a an article an interview with the Atlantic magazine. And here's what he said, and it's making headlines, and I think it's important. In short, he said AI is definitely destroying jobs. There is this common misconception out there, you know, where, you know, people say, hey. AI isn't going to take your job, someone using AI will. That's kind of true, but it's also not the complete truth because that person using AI will also take 10 other people's jobs or 20 other people's jobs know, when you talk about AI growth, it is not a one to one replacement. So the actual quote that I wanted to share from this article Sam Altman, again, the CEO of OpenAI, says a lot of people working on AI pretend that it's only going to be good. It's only going to be a supplement. No one is ever going to be replaced. But then he said, jobs are definitely going to go away, full stop. Alright? So actual quotes. from Sam Altman there. A lot more in the newsletter on those stories and more.

If you haven't, you you know, if you're listening live. Please, you know, go go check out the newsletter. But if you are on the podcast and maybe you only listen to us on the podcast, you're missing out. So in the show notes every single day, we put links so you can join us, but also links to, you know, go and read our sign up and read our daily newsletter. Alright. So couple of people tuning in. Thank you, Brian, joining from the Gulf Coast. Thank you. Nancy, destroying asking about the the story. Destroying jobs did Altman give any examples. It's it's a recent article. I just read the the top half Nancy. There's a lot of AI news, but, yeah, we're gonna give break it down a little bit more in the in the newsletter today. And alright. Cecilia asking, so where are the folks using AI to promote love and unity? We need more of those. You know what? I will shout I will shout someone out a a frequent watcher and someone that tunes into the podcast. Leonard. Leonard, if you're listening, go ahead and drop your link, but I think he's doing some great things with AI. He's he's creating, I believe, free to use clip art that just promotes inclusivity, really cool stuff. So, yeah, I I do think that there's a lot of great uses for AI and and medicine, technology, you know, it is building some act some equity and, you know, equality, I think. But, yeah, AI can also be bad and tear us all apart. All right, so let's get into it. Let's talk about are AI chatbots lying to us. The answer is kind of. Right? The biggest thing that I wanna talk about is the Internet. You know, are you know, when all of these chatbots say they're connected to the Internet, are they? And and what does that actually mean? Alright. So before we're gonna dive in and and do some actual examples and show you Is are these chatbots all connected to the Internet? Yes or no? But before we get there, I wanna talk about why. You know? Maybe you're listening to this, and maybe you listen often. And maybe you're still not using AI chats for basic Internet research. Let me tell you one thing. You should be. You know, you should be. We teach this in our In our free course called Prime, Prompt, and Polish, it is our p p course. I'll throw it up on the screen. We've actually know a couple of you even in the comments have taken this. We don't share this link publicly, FYI, because I like to I like to think of it as a as a little treat for our for our listeners, for people who actually read the newsletter. We never link to it. The page isn't public. But if you want access, just go ahead In the comments, type in PPP. I'll shoot it over to you. Again, if you're listening on the podcast, there should be a way to email us. Just say PPP. I'll shoot it all over to you. but this is one of the things that we teach is how you can actually use correctly AI chats to access information on the Internet. because it's not as simple as it seems, but let me first tell you why, right? Because it will make the process of almost anyone's day to day job much easier and much more impactful. Quick example. So I spent about 9 years working at a nonprofit, and one of my biggest roles there was working on partnerships. Right? And I even remember back, we had an opportunity pretty early on to work with with Nike and Jordan Bran in a really big way. Right? This was a huge opportunity. And, you know, I was one of the people in charge of helping put put together the proposal, the presentation, but It was a big deal, right, for for a nonprofit to have a really big partnership, very visible. Right? So this was to create help create Michael Jordan's community program called Wings. Right? So I remember I read so many web pages. Right? So did a lot of googling, but I read so many web pages and took notes, and and a lot of people in our team did. Collectively, we probably spent more than a 100 hours researching every single other nonprofit that had a partnership with Nike. We were reading their annual reports to see how they were mentioning. You know, what were the metrics that they were that they were kind of you know, publishing specifically in terms of their relationship with Nike. Right? So we were looking at all these different partnerships, taking notes And it took, like I said, probably more than a 100 hours collectively. This is something now if you know how to use AI chats correctly the right one, then that whole task would have taken minutes, right, to instantly be able to read the entirety of of dozens or 100 of web pages in one click is a huge time saver for anyone out there. Right? So even if if if if in your mind, you're like, oh, you know, AI is not for me. I don't wanna be writing my content in, you know, in chat box, that's fine. Okay? Sure. But In my opinion, there's really no reason not to use it for reading, for researching, for analyzing, and for summarizing. Alright? That's such a huge functionality of all of these AI chatbots that people just overlook. Right? Because regardless, regardless of our role, it's this is the one I think commonality that unites us all if you have a desk job You are probably doing a lot of reading and a lot of researching on the Internet. Alright. So now that I have that set up, couple comments coming in. So Don saying she would love to receive the newsletter. We got you. Ben, shout out, Ben. Ben said Jordan's p p p p training is a great course. Lots of info. No BS. I agree, Ben. Yeah. Just drop in PPP. I'll send it to you. Alright. So instead of me just telling you, hey, Here's how chatbots lie. Let's take a look at it live together. And I'm gonna do my best if you are joining on the podcast. I'm gonna do my best to just tell you. Here's what's happening when I put this query into this chatbot. Okay? But, you know, there's always a link in the show notes that you can just go back and watch.

Anthropic testing

So let's start at the top. So we are first going to go intoCloud 2.

So Cloud 2 actually just added something a week ago. I did a video review on cloud 2. And one of the things that struck me and this isn't specific to them. But when I put when I asked cloud 2, from anthropic to summarize a website, it just lied to me, right? That wasn't good, but in the last week, or might be 10 days. They've updated something here. Alright. So what I'm doing is I'm saying please summarize this article, and I'm putting a link to an article. So let me quickly just show all you guys that this article. Alright. So I use this article a lot in testing. Because on this page, this is an episode we did with Doctor Harvey Castro called the Future of AI And Healthcare. Make sure to give it a a listen or a watch if you haven't already. But we have, you know, we have an overview of the episode that we wrote up. We have multiple, you know, videos embedded. And then also down here, we have a full transcript at the bottom of the page. Right? So not that it's a complex page, but there's multiple elements. And I always wanna see, you know, okay. Is there a difference between if you have a page that's plain text versus a page with a lot of different elements on there? Right? Multiple embeds, I think there's 5 different embeds on this page, you know, different headings, all that stuff. So let's just jump in back into cloud and see if cloud can summarize. So here's the great thing that Cloud just added. If anyone knows what date this was added, let me know because I wanna be accurate. But I did do a video on this in our AI five series about 5 to 10 days ago, and it did not have this warning anymore. Right? So right now, finally, it says cloud can't visit links. responses may contain hallucination. So thank you. That is a very responsible thing for AI chats to do because for so long, they didn't. Right? You know, Cloud Two is new, but at first, it didn't say that. And it would just summarize. And, you know, It did spit out a summary here and none of it's correct, right? But I'm okay with that. I'm okay with that now because it says right now, cloud can't visit links, alright, which is actually probably important to talk about, so maybe I should first hit rewind. Why do you need to visit links on the Internet at all? Right? Because essentially, the GPT technology and, you know, Google's technology is a collection of I think Google's is is Palm Two. It's a collection of everything essentially on the Internet up to September 2021. Okay? So there's this big thing that's called the knowledge cutoff. Also, you can't even fore things before 2021, even if you put an article, maybe articles from

AI [00:13:45]:

2018, 2019.

Jordan Wilson [00:13:47]:

That's not how large language models work. They don't necessarily scrape the web. Right? So even what cloud does here and its hallucination, but it does emit all it's doing is it's looking at the keywords of my URL here of the episode with Doctor Harvey Castro. Right? So which is called the Future of AI in Healthcare. So all it's doing is it is running a query. Right? So in a lot of the messaging from, you you know, whether it's Google, OpenAI, Microsoft, whoever, you know, it's a lot of it's marketing marketing language, which which I understand, you know, it's say say, oh, you're connected to the Internet. but that does not mean that you can read specific websites. So there's a huge difference, and we talk about this in our PPP course and then our pro course that we're launching in August as well. All free. All free. Don't worry. One of the things that we talk about is the difference between web queries and reading web links. And it's very, very different, and it's very important to understand specifically for a task like this. Right? If you have all these articles that you wanna read, and you just want a a kind of a a summary of a lot of different articles. So cloud has improved. So cloud is technically lying to us when it says it can access the Internet, kind of, because it can't access specific things that we ask it to. But It does pull in information from the Internet, but I'm glad that anthropic, you know, added that recently. Alright?

Perplexity testing

Next, we are looking at perplexity. Don't worry, we're gonna get to all the big names of the big names here. Couple couple other comments I'm gonna try to get to them. So Cecilia saying, I need PPP. I got you, Cecilia. Leonard saying, oh, Leonard. What's up? Shout out shout out earlier. He's done a bunch of barred summaries, and they were actually accurate thoughts. It depends. Sometimes it's accurate. Sometimes it lies. Right? And we're gonna see we're gonna see here live. We're gonna see how Bard does. Yeah. I've done this. I have a spreadsheet somewhere. And I've done it at different times. Early on, even, you know, anthropic, barred, Bing chat, terrible with hallucinations, even when you give it a URL. again, most of the time, what it does. And, you know, we do testing on this all the time. You know, when we test as an example, PDF readers for ChatGPT plugins. I will literally hide 1 little line in a 100 page PDF, and I'll ask all the different PDF plugins about that information. And I'll see, okay, which ones are actually reading it. So We've done tests before. We're on a website. We'll do the same thing. We'll we'll, you know, put something in there, but I wanted to keep this kind of simple and and high level. Alright. So let's next look at perplexity. So perplexity is a great tool. Not a lot of people use it. or know about it, but it's fantastic. So the way I would describe complexity, it is more it is more search an AI search engine, I would say, than where I think people with with Cloud and OpenAI, they think of it as writing tons of long form content. it, right, and being able to to to do really impressive things with, you know, data interpretation, all all of that. That's not perplexity necessarily. I think perplexity is most known for being essentially a smart AI search engine. It can write yes, but the biggest thing is citations. I think that's why people use and love perplexity. So, again, I'm saying the same article. Please summarize this article and with the link. This is a think about 2 months ago, they released Copilot, which is essentially a smarter version of their free. You have to be logged in to use it, but it's free. So let's let's go ahead and run this same query. Also what's important to understand like any large language model or even a website or or or I'm sorry, or even Google. Results are always going to be different. This is something I've I've found as well when testing different plug ins. doing the same exact query, different days, different hours on the exact same plugin, it's it's not always you're you're not always going to get a 100% the same results just like when you Google something. You know? The the the SERPs or the search engine results pages in Google changed literally by the minute. You know, you can run search and run it 10 minutes later and get exact, like, and get completely different results. So let's take a look at perplexity. Did it do a a good job? No. It didn't. But that's okay. Because here's the thing. Not all AI chats do this, but right here it says searching the web and it says it's searching for this site. And instead of looking at that site, which is episode 47, it considered these different sources. So this is great with perplexity. You can see where they're drawing this information from. So it looks like it started at some of our older episodes. It looks like it went probably So we got 6931143, but it didn't look at episode 47. Right? So I didn't visit the exact which is which is, again, this is weird because when I just did this 10 minutes ago, got completely different results. It was bringing in other results on the future of AI And Healthcare from other websites. And now when I do it, It's just bringing in unrelated episodes from the everyday AI website, right? So It's not a great summary, but it's it's it's not about episode 47. I'll just say that. it it essentially recaps the the words in the URL and writes a little sentence about it It says episode 47 of the Everyday A podcast discusses the future of AI And Health Care and its potential impact on the medical industry. That is correct, but everything else in here that it says, again, I'm not gonna read it to you. You can check it out. Again, nothing in here is wrong, but it essentially says While the podcast episode itself is not available in the search results, it is likely that the discussion covers various aspects of AI applications in healthcare. Best thing. It is it is available in the search results, but even when I gave perplexity the URL, it wasn't able to grab it.

Google Bard testing

All right, so let's go on to Bard. Let's see what Bard is going to do Google BART. Will it will it lie to us, or will it tell us the truth with an article? Right? Let's find out. Here's the thing. If if if you've listened to some of my earlier episodes, I've always said, ah, don't don't waste your time and bard. It's not that good. It's it's much, much better now. So they they released a lot of new updates about 2 weeks ago, and I think it's definitely worth worth using now and worth checking out. The biggest thing before is they didn't have history, and you can see now they do have history. That that was one of the things that at least for me I couldn't recommend that people use this because if you spend time in a large language model, you really wanna work with these individual chats to kind of tell them what you want. So just just to put that out there. I think it's pretty good now. So again, putting this into Bard, and I'm saying please summarize the article. and I put the URL. So now, again, it's saying I'm unable to help you with that as I'm only a language model and don't have necessary information or abilities. Interesting. Right? Again, completely got something completely else about right before I was doing this on the show. I hit regenerate. Now it says, I'm just a language model, so I can't help with that. So I'm gonna I'm gonna try to say this in a different way. I'm gonna say Please, the summarized episode 47 of the everyday AI podcasts. So we're gonna try that, see how that works. Alright. So hallucination here, but that's fine. Right? It's important we know what AI chat can actually access the Internet and what that means. Right? So Bart here, when I said, please summarize episode 47 of the everyday A podcast. It says, sure. episode 47 of the everyday everyday AI podcast is titled The Future of AI And Healthcare. That much is correct. Everything else after that is made up. So it says in this episode, host Brian and Emily talk to doctor Daniel Kraft. Again, That's that's that's all made up. Right? So does Google can Google bard access the Internet? Yes. Can it consistently recap or summarize information that you want it to even if you give it a URL? No. It can't. Right? Again, I always encourage everyone. Run your own tests because, again, you will get wildly different results in so many of these chats. Run results, but if you're still if you're still listening, stick stay tuned to the end because there is a way to do this correctly. So let's now jump over and apologies. The screen's jumping a little bit, so I have to go into A new window here to visit to visit Bing, BingChat. Right?

Bing Chat testing

So let's go ahead and run it in BingChat. So good news, BingChat soon, will be coming to Chrome, and then I can stop using the Edge browser. But they announced that, but it's not it's not out just quite yet. So I'm putting this query into into Microsoft Bing chat saying, again, please summarize episode 47 of the everyday AI podcast. Here's the link. So let's see what happens here. Alright. I'll read it to you but again, not working. So it says episode 47 of the Everyday AI podcast is titled The Future of AI And Healthcare. That that so much is correct. And it features now we have new doctors. So many doctors that weren't on the show. It features doctor Helen Fraser, a radiologist and AI researcher, and blah blah blah. So it keeps going on. Right? So you might be wondering, wait, is it not connected to the Internet? Are are Microsoft? Are Microsoft BingChat and Google BART? not connected to the Internet. They are connected to the Internet. But they as large language models, as you saw some some of these responses, even if you give them a website that's been around for 10, 15 years, you might not be able to specifically summarize because in most cases, It is going to take the keywords that you give it and run a query. Right? The good thing is The good thing is most, you know, chats will also give you sources, not all of them. Right? So we saw in in Google it didn't give us sources, but down here, it is giving us sources. So it was pulling in information from just it looks like other podcasts. Right? So, essentially, in this in this instance, they Googled I'm guessing Google, they they being searched, they beamed, Is that a thing? But they binged Podail, iHeart, and I'm looking at the URLs at the bottom. You can't see it But it looks like there's just other podcasts that we're talking about the future of AI And Health Care. So, essentially, just random query. and it didn't see or find the URL that I gave it first. Right? Because when you run a query, even if I say the words everyday AI, You know, if a podcast did this 5 years ago, and they were talking about the future of AI in health care 5 years ago, and they mentions the word every day and AI in there, It might show up in search results above the link that I gave it, above, you know, kind of the the episode that I had with Doctor Harvey Castro. Right? That's important. that it's it's so important to understand how all of these chats access the Internet and what they can and cannot do with a simple even URL summarizing a web page. Right? So so here, again, halluc technically, it's it's it's a hallucination. Right? But At bare minimum, I am glad to see that anthropic is giving you you know, anthropic is giving you that message now saying, hey. We can't read URLs. because before, it didn't say that. And I do always like and appreciate when if Bing Chat, as an example, doesn't give you what you think, you can at least go down at the bottom here, look at these different links, and seeing where they're pulling information from.

ChatGPT testing

Alright. You can probably guess last but not least, we have ChatGPT, right? My personal favorite. And people probably always People probably always wondered like hey, Jordan, why do you talk so much about chat to petite? Well, it's just better. It's better, right? pay pay pay the $20 a month because it is much better. Let me go ahead and bring up our page one more time just as a reminder. So this is the page we are trying to get summarized. Okay? So we're going to jump into ChatGPT. Alright. So I have the paid version. I was already playing around with this just so I could give you guys accurate information. So I'm going to start a new chat. I'm gonna go to gpt4 default. Here's the thing. There's no reason to ever use default version. I don't think. of GPT 4, right? Because if you're paying the $20 a month, you should always be using the plugins, or the code interpreter, and we're getting that more into our PPP course. But by default, you'll see if if you Give the same query. Please summarize this page and put the link into even GPT 4. It's saying, I'm sorry for the confusion, but as an AI, I'm currently unable to directly access or interact with the Internet. Right? Of course.

ChatGPT Plugin Pack example

So plug ins plug ins to the rescue. Right? Of course. So I'm going to give an example. And, again, this is a little advanced, but one thing that we teach in both our PPP course and the pro course is plug in packs. Right? Because with ChatGPT, it is so so incredibly powerful. Right? Here, even just as an example, We we we added some some things to our training. We're always updating it, but plug and packs are amazing. This is something I don't even think I've shown this anywhere except to a few people, but we are creating plug in packs at Accelerate agent or at everyday AI. where it's it's the best combination because you can only have 3 plugins. And when you start a chat and, you know, we always tell people you need to train that chat up. But In plugin mode, you can only give it 3 plugins. Right? So let's say you're working on a project with data and visualization, so you can put plugins that can help you you know, plot data and and visualize data as an example. But if you're midway through your chat and you're like, oh, wait. I need access to read a PDF. you can't then add another plug in if you already started. So you have to kind of pick when you start a new chat, you have to say, hey. This is for this project to solve this business problem And I'm gonna go ahead and use these 3 plugins because that's all you can use is 3. Right? So in this example, this is document data visualization. where it's literally taking, at the bottom, a 100100 page PDF, it's pulling all of the information that I tell it to in this prompt above. It's pulling it out. It's putting the data into a CSV for me, and this data is coming from multiple pages of that 109 page PDF And not only that in one prompt, then it's also plotting all of that data. So, again, think of this. This is a 109 page PDF It's grabbing data from all different pages that we tell it to. It's accurate. It puts it into CSV and automatically plots that in a graph. Right? wild. Anyways, that's what a plug and pack is, and that's why you have to be very specific about what plug ins you want. But I always tell people when we talk about plug ins, bare minimum, you need one that can read the Internet, and there's a difference because there's plugins that can query the Internet, and there's plugins that can read links, different thing. Okay? I know this is a lot to stick with me. Hopefully, it'll make sense. So in this article or or or or I'm sorry, in this chat, I have 3 different plugins enabled. Here's the thing. With chat, you can't necessarily tell it which plug in to use. You can try. It won't always do it. So I said summarize this article, and you'll see here it used mixer box, which is actually one of my favorite plug ins. But Mixerbox even has different functionality in there. So in this case, it actually did a web query instead, and I didn't get really accurate information. Okay. But go into a new one here. Sorry, I'm jumping all over. Let's go. Let's just do this live. I'm gonna go ahead go into plug ins. I know it's a longer episode, guys. So I just have one. I have one plug in now. Right? Because I know there's at least 8 different plug ins that can do a very good job of reading just URLs you give it. So last but not least, we're gonna end on this. We're gonna end in a high note, and we're gonna say, yes. AI chats can read the the Internet if you give it a link. You just have to use the right thing. Again, the only one that I'm seeing consistently and and we just did a test live. The only one I'm seeing consistently being able to read and summarize a specific web page is ChatGPT with the correct plugin enabled. I mean, anyone anyone can offer your own opinion. Right? But I just did it live. You just saw the results. Cloud? No. But at least it told us it can't read the Internet if if we give it a URL. Proplexity, yeah, sometimes, but not really. Right? It just it made things up, but at least it told us. The same thing with with BingChat. Did it read the Internet? Not really. It just googled keywords in our URL. Bard Bart is a mixed bag Sometimes it does okay. Sometimes you really just have to encourage Bard or you have to get you know, say, oh, of course, you can read this. Here's how. You know? But by default, all over the place but not very accurate and we saw hallucinations, chat to BT with a proper plugin, it it nailed it, right? And as soon as I say this, guys, I I literally just ran this before. This this plugin did not nail it. This this is important. Right? It's it's funny. You know, you can do all the prep you can for the for a show, and you're and and and you're gonna get different results. Right? So let me see here. Okay. Here's here's the one I did earlier. So a a good example, even using the same plugin, I got different results. So it's important to always run quality checks on the plug ins if you're relying on them, for any major part of your business. But in this example here, I can read and I can see, okay. It did read the entire text. of this web page, which includes the transcripts. Okay? I'm scrolling through it. It's it's a lot. And then down here in this chat, It does properly summarize this chat, all over the place,

Final Takeaway

But what I hope this helped with, guys, is to know, you really have to be careful relying on AI chats to read and summarize the Internet. And I think it's one of the most important and most impactful use cases of how the everyday person can use AI to help make their job easier because most of us do spend a lot of time reading and researching, but as you saw, it can be tricky. You always have to do a little quality check and and really check the sources and check the work.

Alright. This was a long one, but I hope it was helpful, right? I hope this was a great a great end to your week with this everyday AI episode. So as a reminder, your everyday AI.com. We have our free daily newsletter. Right? There's actually I kid you not, guys. There's there's paid. There's paid daily newsletters for AI. I think we do the best job. Am I bias. Yeah. I'm biased. But the difference is with our newsletter, every single day we bring on Not every single day, but mostly every single day. We bring on an expert, and you can learn from them. And you can ask questions. Right? And then in our newsletter, we've we dive deep. on not just what was discussed, but how the everyday person can actually use that. Because one of the, I think, one of the most difficult things that we're trying to address with everyday AI is what you can do with all of this information. What can you do with all of this innovation? And that's what we really tackle in the newsletter. We break down what we talked about on the show. We have other tips. We share about what what new tools and, you know, software are out there, and and we also just really go deep in how you can actually apply this all. And one more shout out. because I think the I I think our contest ends Sunday or Monday. It ends on 31st, which is Monday. Alright. So make sure you go sign up there right here on the website to win 6 months of ChatGPT plus. So, again, to do all those things, you you have to have the ChatGPT plus. It's $20. So go do that. Sign up for the contest. Refer friends. You can get to the top of the leaderboard. Or if you just enter in, that's all it takes. Go in, enter your information. You're signing up for the newsletter in doing so. but 6 free months of ChatGPT plus and 6 lessons. I'm gonna sit down with you, and we're gonna break down how you can actually use ChatGPT to grow your business, to grow your career, to grow your company. Alright. That's it, y'all. Thank you for joining us. I hope to see you back again on everyday AI. Thanks.

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