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Everyday AI Podcast – An AI and ChatGPT Podcast
EP 430: Google’s $1 Trillion AI Mistake - 5 Gemini missteps and if Google can recover
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In 30 years, I think this snafu by Google will be studied in colleges and universities. Well, if colleges and universities are still around in 30 years. But I think Google has already probably lost more than a trillion dollars, at least in market cap. And I think it's something that no one's really talking about. How did Google, you know, slash Alphabet, one of the most powerful companies in the world at one time was the most powerful company in the world or the biggest company in the world by market cap? How did they completely miss out on more than a year of generative AI? How do they let every single other company beat them? And can they recover? Is it too late? Is Google going to fade into AI oblivion? We're going to be talking about that and a lot more today on Everyday AI. What's going on, y'? All? My name is Jordan Wilson. I'm the host. And this thing, it's for you. Everyday AI. It's your daily live stream, podcast and free daily newsletter helping everyday people like you and me not just learn AI, but how we can get ahead, how we can outsmart the future and use generative AI to grow our companies and our careers. Is that what you're doing? If so, welcome. This is your home. Your other home is your everydayai.com. so there on our website, yes, you can sign up for our free daily newsletter. We'll, we will be recapping this episode and keeping you up to date with everything else you need to know in AI. But also you can go listen to like, I don't know, how many episodes do we have now? Like 400, 300? Like we have so many episodes, y', all, I've, I've lost count. We have 430 episodes. You can go listen to them all. Thousands of hours of free AI content sorted by category from the world's leading experts on our website. So make sure you go check that out. All right, before we get into today's topic on, I think I'm going to go over the five biggest missteps that Google have has made so far that has really plagued their kind of go to market strategy. But before we get to that, let's start as we do most always and go over the AI news for the day. So China's Alibaba has cut prices on its AI language models by up to 85% amidst a very competitive search. So Alibaba has announced substantial price reductions of up to 85% on its large language models. So their cloud price cuts pertain to its visual language model Quen vl, which processes both text and images. The company has previously implemented drastic price reductions, including a 97% price drop for Quen AI in May in a 55% cut for various cloud products earlier this year. I think this comes in direct response to one of its biggest competitors in China, Deep Seek coming out with their V3 model, which is so cheap it's essentially free. But even with these price cuts, Alibaba's Stock only rose 0.5% on the last trading day of the year in Hong Kong. So. So this increased competition from Alibaba will pressure US companies like OpenAI, Google, Anthropic and Microsoft to adjust their pricing strategies to enhance their offerings and stay competitive in the global AI market share. Yeah, I'm gonna have my 2025 AI predictions probably in a couple weeks. But I'll tell you this, China is going to be all up in there because they have gone from similarly like how Google missed the boat, right? You could say two years ago China was way behind. I think they're going to crush in the global AI kind of AI arms race in 2025. All right, our next piece of AI news and hey live stream audience, thanks, thanks for tuning in. Got got a little question. So Suzanne, thanks for joining us. Brian, thanks for joining, Jay. Everyone else, got a little question on the screen there. Let me know. Next piece of AI news. Nvidia's acquisition of Run AI is officially official. So Nvidia's acquisition of Run AI, which is valued at $700 million, is seen as a strategic step to enhance its control over AI infrastructure. So the deal was initially announced in April 2024, but it has drawn a ton of regulatory attention and kind of got dragged through the red tape before it was just now officially approved as the European Commission approved the merger this month, stating it would not pose competition issues, despite Nvidia already holding an 80% share of the GPU market. So regulatory bodies in the US are conducting an antitrust investigation, raising concerns that such mergers could eliminate emerging competitors in the fast paced AI industry. So Run AI, if you don't know, specializes in software optimization for AI infrastructure and plans to open source its software to broaden compatibility across the AI ecosystem, aiming to foster inclusivity. All right, last but not least, more of a early spotting in the wild, but Twitter's Grok or Xai's Grok or X'S Grok, whatever you want to call it, that chatbot on Twitter that no one really uses. Well, it may be coming to the web. So Twitter's Grok may be looking to play in the AI search space with a dedicated web app. So according to some Twitter users who shared screenshots, Xai's Grok, which is known as kind of a cheeky large language model embedded inside of Twitter, like, looks like it's getting its own dedicated web presence@grok.com. so grok.com has just launched with early web access, so details are super scarce right now. But it appears to just be a standalone version of Grok, which, like I said, right now you have to be logged inside of X, formerly known as Twitter to use. And it looks like it does have real time web access as well in that standalone app. So for those news stories and a ton more, make sure you go to your everydayai.com Sign up for the free daily newsletter. All right, let's get into it, y'. All. And it's the last hot take Tuesday of 2024. Let me know, y'. All. I never like coming too hot on Tuesdays, right? I'm tired. I don't know how much I have left. But for our live stream audience, let me know, should I just bring, bring a little heat today on our last hot take Tuesday of the year or should I go scorched earth? I swear, I just take cues from you guys. If you guys don't want the spice, I'll be nice. But if you want the fire, give you what your hearts desire. That was really cheesy rhyme. Yeah, this is, this is unedited, unscripted, y'. All. But let's, let's get into it. Suzanne says bring the heat. All right, Suzanne, we'll see if anyone else agrees with you or if I should play it safe. All right, so let's get to the, the harsh reality of Google's position right now in the kind of the AI arms race. And let me say why I think this is a trillion dollar mistake already. All right? You guys know why I always bring receipts to the show. I'm a former journalist, so I do a lot of research, right? I always try to break things. So when I come with, with videos or podcasts or something in the newsletter, it's never just running off of a random rumor, right? It's, it's going through and testing things exhaustedly. It is putting all of these large language models through their paces. I've, I've spent thousands of hours this Year alone, right, in large language models. So I have the paid vers of Gemini on my personal Gmail account. I have the paid version of Gemini on my, you know, kind of Google Workspace account, my business account. And I have since day one. And I, I have, you know, paid access, you know, all the way from your, you know, perplexity Claude chat GPT, right? I'm even on the 200amonth. So what I'm trying to say is I spend more time than 99 of the population investigating large language models and their rollout and how they change over time, right? Have thousands of videos on our YouTube channel as well, where I've been documenting this. All right, because what we have today from Google Gemini is not what we had. However, if you look at the kind of the first official year or two years since the generative AI boom, right? And we say that's the chat GPT moment of November 2022. So since that time, yes, Google's stock has soared, as has every other AI company, right? But not as much as their closest competitor, right? Depending on if you're looking at the software side, the hardware side. But, you know, two of Google's closest competitors are Apple and Microsoft. So if we look at just Microsoft as an example, since the ChatGPT boom, Microsoft has added $200 billion more in market cap than Google has or, you know, Google's parent company Alphabet. So it's about a 1.1 trillion dollar increase versus a 1.3 trillion dollar increase from Microsoft. So a lot of people just look at Google stock and they're like, oh no, Google didn't fumble the, the AI go to market. They didn't fumble their Google Gemini strategy. They absolutely did. All right, and what I'm trying to do here, y', all, is I am still baffled to this day. And I've talked about it dozens of times throughout the first two years. I am baffled by how hard Google fumbled the bag when it came to their AI go to market strategy. When it came to Gemini, it was disastrous. And I'm not kidding. I do think this will ultimately be a case study in what not to do in business, right, in business schools. I'm not saying Google is going to fade into oblivion, although I don't know if they're a top two player in AI. I think December has really changed that. But if you would have asked me in October, November, I would say Google, home of the transformer discovery, right? Home of Google DeepMind, home of some of the best researchers in the world, that they should have Had a multiple year head start on companies like Microsoft, like Apple, just because of the birth. Google is the birthplace of the transformer technology, right? The technology that paved the way for the GPT from OpenAI. The transformer technology was birthed in Google. Yet three months ago they were scratching for relevancy in the AI space. Six months ago, I don't even think they were a top three player. That has changed in the last couple of weeks and I'm going to get to that. But they've already lost out, out to Microsoft, $200 billion and it's going to continue there. I think people are going to, you know, see Google's, you know, or the parent company Al Alphabet stock go up and they're like, oh yeah, Google, Google did fine with their AI rollout. No, they didn't. It was, I think one of the most disastrous rollouts in the history of business. It was historically bad. And like I said, Google had an unfair advantage. Unfair advantage. They were at one time, less than a decade ago the biggest company in the world by market cap. Right. And now they're, you know, most days barely top five in the US or you know, I guess, I guess they have a nice hold on number five. But I don't think they're going to be a top, a top two company anytime soon. Right. I don't think they're catching Nvidia, I don't think they're catching Apple. I don't think they're catching Microsoft. I don't think they are. I really don't. So let's dissect a little bit, shall we Brian? Brian says bring the, bring the fire. All right, Bedros. Bedros, thanks for joining us from Twitter. Saying Google did in fact fumble, but they're showing some good signals. Absolutely. I will get to this, but I think that Google had the best single month of in AI of any company ever. Yes. It was a crazy two years for Google. They did more in December 2024 than they've done collectively in the AI space for their existence. Right, yes. Talk about a drastic turnaround. But I want to talk real quickly here about the five missteps that they made and we're going to get to at the end if they can actually turn it around. All right, so let's go over the missteps. Misstep number one, very well documented talk about this is the snafus of snafus. Google's. Are you still running in circles trying to figure out how to actually grow your business with AI? Maybe your company has been tinkering with large language models for a year or more, but can't really get traction to find ROI on genai. Hey, this is Jordan Wilson, host of this very podcast. Companies like Adobe, Microsoft and Nvidia have partnered with us because they trust our expertise in educating the masses around generative AI to get ahead of. And some of the most innovative companies in the country hire us to help with their AI strategy and to train hundreds of their employees on how to use Gen AI. So whether you're looking for ChatGPT training for thousands or just need help building your front end AI strategy, you can partner with us too. Just like some of the biggest companies in the world do. Go to your everydayai.com partner to get in contact with our team or you can just click on the partner section of our website will help you stop running in those AI circles and help get your team ahead and build a straight path to ROI on gen AI. Misleading launch video mistake number one. Right? So in December of last year, one year ago, they had their kind of Gemini promotional video. And let's be honest, it was to say, to say it nicely, it was manipulated to say other people's words. Google straight up lied, right? So you know, when they announced, you know, Gemini, right, so the, the official relaunch, right, because the first, first Google had their Bard chatbot, you know, they rebranded it and then there was a big launch in December 2023. You know, Gemini's going live, right? And essentially in the video, I have a screenshot here for our, for our live stream audience. In the video, you know, they showed that Google had like live AI capabilities, right? That you could talk to it and it could see that wasn't the case. It was fabricated. It was a lie. Google got dragged through the media, rightfully so, right? Like this, this article here saying Google admits the Gemini AI demo hands on video was staged. So it was later revealed in a blog post after everyone's like, yo, this isn't right. You know, there's no way that this is correct. They later revealed that, oh actually Google, Gemini can't see anything live. You can't talk to it. You know, they showed like the, the example that I talked about on this show last year was a video of, of paper, rock, scissors. Yes, I know everyone says it differently than me. I'm weird. I say paper, rock, scissors, right? But they showed a video of Google Gemini quote unquote, playing paper, rock, scissors. And it's like, oh wow, you know, you could talk to Gemini and Gemini knows what you're doing in Real time. Amazing. Nope, that was fake. It was all faked. What they actually showed is they had to take photos from that video or screenshot and upload it multiple times with text prompts to Gemini to get those responses. And then they, you know, had actors, you know, play it out or, you know, they, they fed a model, right? Hey, say this, right? It was fake. It was staged. Talk about the biggest stage in the world. I, I, I still. This is one of those, right? If, if you're an AI dork like me, this is one of those catastrophic events that, like, you'll remember where you were. I was actually on this stage. I was at a speaking event at the AI Summit in New York City. I was literally giving my speech. When I got out, I, I checked my phone and the, the Internet was on fire with this. Right? It was both disbelief and also amazement because everyone's like, wow, can you, did you see what Google Gemini, what, what Google announced? But then at the same time, everyone's like, yo, there's, this is not possible. Right? And it wasn't. Google admitted it was staged, and they later, the launch of that video generated millions of views. It went mega viral. And Google, with its tail between its legs, had to unlist the video because it was that bad. Yeah. All right, so that is mistake number one. Yeah. Bedro says nasty work. It was nasty work. All right, let's get to mistake number two. Confusing access within Google Workspace. So like I said, it's confusing. Google Gemini is extremely confusing. I think it's gotten better here in the last last month. But I have a paid account for Gemini Advanced in my personal Gmail and my business Gmail. Okay. So for our live stream audience, I have two different screenshots here. So on the left hand side, this is my personal Gmail. All right, My account here. So you'll see, I, I can select different models. Right? Seems to make more sense. I can go select 1.5 Pro, 1.5 Flash, 1.5 Pro with deep research 2.0 Flash experimental. 2.0 experimental advance. Right. Cool. Okay. At least I kind of know what I'm using, what model I'm using. On the right hand side, I have nothing. Yes, I am paying, I don't know, 20 to 30amonth for Gemini advance in my business workspace account. I have no clue what I'm using. And I haven't because Google doesn't tell you. All right? And this has been like this since day one. And so many of the features that Google talks about within its Google Gemini chatbot are not there and they haven't been there, right. You know, you can go into your, if you have a personal Gmail account and this might be different because I've heard that some people have, you know, Gemini access within their workspace account and they have a model selector. I've never seen it, right. I have so many different paid accounts, so I'm always testing. I've never seen it. Every single setting is, is turned on to allow for full access to Google Gemini. And also I'm talking about the front end of Google Gemini. All right, so right now when I'm talking about using Google Gemini and you know, knowing which variation of a model, this is every, every single model. Every single model except Google, right? So whether you want to talk about Mistral, whether you talk, want to talk about Meta's, llama, Chat, GPT, Claude, etc, when you log into their front end Chatbot, you can select which model you're talking to. So you know, so you can see, oh, I can go look up information about this model. Here's when it was updated, here's the knowledge cut off. Here's you know, how many parameters it reportedly has. Whatever, you can go read more information. Because the number one thing with AI adoption when it comes to enterprise is trust and transparency. And if Google didn't already learn from their December 2023 fumbling of the bag and straight up lying in their Gemini video, if they didn't already learn about trust and transparency today. So many businesses want to explore Gemini, right? Businesses are still figuring out implementation and they go in, maybe they are paying, you know, 20 per month per user for, for Google Gemini across their organization and they go in to gemini.google.com and they're like, what am I using? You have no clue. You have to investigate it. I literally spent an hour last night trying to reinvestigate and the best that I can find, right for, for what model you have, unless you have a selector, is a model that was last updated in May. All right, so more on that in a bit. Mistake mistake number three, the initial lack of real time information, y'. All, Google's AI product did not have access to real time information from Google. Yes, let me repeat that. Google's Gemini when it was launched did not have access to real time information from Google. Y'. All. If you're listening on the podcast, literally face palm. I'm, I'm palming my face. Who, who approved this, right? There's probably hundreds of people that approve this dude. Like, does do you guys not understand the complete like lack of foresight, like I'm trying to be nice. No, someone, someone up here. Yeah. Brian said four flame emojis. That was dumb. That was one of the most mind numbing, simple mistakes that I've ever seen. The fact and y' all like, yes, Google can access Google Gemini can access real time information from the web. Now I know, right? I test these things almost daily, at least not a couple times a week. But I have about a handful of videos from 2023 and early 2024 that show Gemini couldn't access Google, right? You ask it information about an event from three months ago, right? And it's like, I don't know, right? It's like using Claude, right? I can't believe Claude from Anthropic still doesn't have access to the Internet. But that's different, right? It's not Google the search king, the epitome of the Internet. How did Google that has more online access than any other company in the world, has more data points. How do they launch an AI chatbot that didn't have access to Google? So early versions lacked real time data and it relied on outdated info. Unlike ChatGPT, when it first launched, had access to browse with Bing, right? Microsoft Copilot, same thing, had access to Bing Meta Llama when it launched, had access to Google, right. Mind numbingly, I'm, I'm out of words. I know it's 2024. I still, I still cannot understand this. And when I talk about this is ultimately a trillion dollar mistake. It is, I'm going to say my hottest takes for number five. I guess so. Mistake number four, limited functionality within workspace apps. So yes, there's a lot of different ways you can access Google Gemini. So you can go to the front end. It's chatbot interface gemini.google.com you can go to Google AI Studio, you can go to Vertex, Google's Vertex platform. But also Google Gemini was kind of rolled out across its workspace apps. So within your Gmail, right? If you go to Gmail, there's the little Google Gemini there. If you go to Google Slides, if you go to Google Docs, if you go to Google Sheets, right? It was absolutely useless for the first, I don't know, three to nine months. Absolutely useless. And I have videos, you know, before you say, oh, Jordan, you don't know what you're talking about. Look at me, I, I can go right now. You know, Google, you know, Gemini is great within Gmail. Yeah, it wasn't for the first three to nine months. I Have videos asking it simple questions about email. Can't do that, right? Google Gemini within Google sheets, asking simple questions about data analysis, about formulas. It said, oh, I can't do that. What can you do? It literally got this prominent placement within Google Sheets, Google Docs, Gmail, et cetera. And it did nothing. It did absolutely nothing except frustrate and show a complete lack of go to market strategy from one of the biggest companies in existence. Again, facepalm. Facepalm to everyone at Google From 2023 to mid 2024, you rolled out Gemini in workspace. That did not work. It was confusing and it was just absolutely terrible. When we talk about trillion dollar mistakes, just kept making them. First couple of years Google just kept making mistake after mistake after mistake after mistake. There were certain times when preparing for shows, I couldn't believe that this was a real company. It made no sense. Especially when you saw how much better Microsoft Copilot was. Especially when you saw how much better Chat GBT was. Yes, you know, Chat GPT, you can't access it everywhere in the Internet. But when you saw how two of its closest, how good two of its closest competitors rolled out the AI technology in early or sorry, in 2023, in the early parts of 2024, asinine, the early versions of Gemini in its Google workspace literally didn't work. All right, so last but not least, y' all mistake number five. And this is the biggest mistake of them all. Outdated models on the front end. Okay, so like I said, you can access Google Gemini in many different ways. Live stream audience let me know. Did you know before you maybe heard from, from me, did you know that to get Google's latest large language models prior to December, prior to this month, you couldn't do it from gemini.google.com right. The same way that you would go to chat GPT. Right. The way that chat GPT has it, you know they update their GPT4O model fairly frequently. It's always called GPT4O latest and you know, under the hood, usually multiple times a month, they update that GPT4O latest and it goes live inside of chat GPT Claude. Right? Even though anthropic. Yes, they just did update Claude 3.5 sonnet new. Right. But they at least, even though a lot of their models are old and haven't been updated in a while, still what you're using inside the chat interface is the newest model. Always right. Same thing with Mistral, Meta, etc. How did Google get this so wrong? Because when you go to gemini.google.com until literally two weeks ago, you had no clue what model you were using, right? So the last reliable information that I found was from an old blog post that said Google and I don't even know right, on my account that I don't have a model switcher for. I have no clue what model I'm using. 0 clue. And Google to their credit ships amazing updates to Gemini, but you can't access them on Gemini google.com at least not until this month, right? And you had no clue. You had to go to Google's AI studio, which is really built for developers, right? But for the most part, I think a lot of us were using a model called Gemini 1.5 Pro 001, which I believe was a May release. So even as people read, right, and you see these, you know, these LM arenas, the, the chatbot arena arena rankings, right? Google's been crushing it, right? In August they had a great update, Climb the leaderboards. November, December, right? They've had some of the most capable large language models over the last few months. Not when you go to use it on the front end. You have no clue what you're using, right? I could be wrong here. I, I had some, some VP level people confirm this on Twitter a couple of months ago. I'm like, yo, what model? And I'm asking people all the time because people need trust, they need transparency, right? If you're benchmarking different models, if you're trying to find the, the right model for your company, you have to know what you're using on the front end before you go and integrate on the back end. This is, I think big head Jordan coming back in. This is one of the biggest mistakes that Google made. When AI is democratized, you have everyday people like you that's listening to this, like me, you have everyday people making AI decisions for AI strategy, AI implementation. What model are we going to use? Which, which API is best for which project? Right? For enterprise companies, Fortune 500 companies. I have more than a handful of actual examples of Fortune 500 companies that I've talked to both online and offline that have made huge multi million dollar investments into using these products by first testing them out on the front end. So Google, I think they finally realize now, maybe, I don't know, maybe a couple people out there are listening and they got annoyed of me railing them all the time on this. But if you put old models, models that are three, six, nine months old on your Gemini front end and you hide it, you hide your new, most powerful Models on the back end within Google AI Studio, within Vertex etc, you have non technical people that have no clue. I literally know CEOs of Fortune 100 companies that are going in and playing with these large language models, which is great, right? And then they're like oh, you know, and then they hand it off to their, you know, C suite and they're like all right, well here's, here's what I saw. Go play with these, right? It's not necessarily People with, with PhDs in machine learning that are making these decision for enterprise companies. It's everyday non technical people. This isn't software developers, this isn't always engineers, this isn't always CISOs or CTOs, right? Chief Technology officers. It's not highly technical people that are making these multi million dollar decisions for thousands of enterprise companies here in the US and across the world. It is non technical people. So Google has literally been losing an unforeseen amount of money. And that's why I say yeah, I can point to a 200 billion dollar shortfall at least when you compare, you know, Google's market cap gains over the past two years versus Microsoft and Google. Right. But I can guarantee Google has left billions of dollars on the table because they did not understand that AI is for everyone. And you have literally large Fortune 100, Fortune 500 enterprise organizations going to gemini.google.com going to chat GPT.com going to Claude AI going to, going to Microsoft copilot playing with models, seeing how they work and making multi million dollar long term decisions because you Google decided until this month to completely go forgo trust, transparency and communication fumbled. So can Google turn it around? I think they absolutely can. All right, so first we have to acknowledge this month Google absolutely crushed it. All right? So yeah, I've been hard on Google but because they've made boneheaded moves right there and this isn't new from Google, right? They, they change their names of their products all the time, kill products, bring them back, right? They, they, they make terrible moves. A lot of them turn out, you know, to be good moves. Their, their Gemini, their go to market strategy. With AI historically bad, it will be studied. But December, this month, December 2024 they turned it around. So now the Gemini front end, well if you have a personal Gmail account at least you know, you can go experiment, you can, you know, test out their real models without having to go into Google AI Studio. So now you have Gemini 2.0, Flash experimental, Gemini 2.0 experimental and deep Research, which I love Deep research It is far better than Perplexity. It is far better than chat GPT search. All right, so you have great product releases. Veo. It's. It's AI. Is it Veo or vo? Does anyone know? Veo, it's. It's AI video tool that is completely crushing Sora in head to head, you know, comparisons. Who knows when the general public will get access to VEO2. VEO2 because they announced VEO1 and no one really got access. So here we are. VO2, way better than Sora. Still no one has access. But from an AI, from a generative AI standpoint, Google crushed it in December 2024. Right. They didn't go with, with flashy marketing with the same approach they went with in December 2023 which was watching a train crash. Completely different in December 2024. No words just shipped. Right. OpenAI had their 12 days, you know, 12 days of ship miss, 12 days of OpenAI. A lot of marketing. They created live stream events. A lot of eyeballs. Right. In all things considered, OpenAI did great. Gemini said nothing. No. No flashy video like, like the great mistake of 2023. And they just shipped a bunch of products that were better. Right. They stole the show. They did. So can Google turn it around? Well, some signs that lead me to believe I just said their new products. Fantastic. Notebook LM probably top 3 AI tool that exists. Everyone's sleeping on Notebook LM. It's amazing. Gotta have someone from the team, from, from Google's team. I've been talking with them for a couple of months trying to coordinate them to bring a guest on the show. Notebook LM is one of the best products I've ever used. Same thing with Deep Research. Did a dedicated show on that a couple of weeks ago. Fantastic. Their new models, 2.0 experimental, 2.0 flash, chart topping great. Crushing it. I also think great hire here. So Logan Kilpatrick was I, I think in charge of, you know, developer communications at OpenAI. He is now the senior product manager for, you know, Gemini or Google at. At Google. So a pretty key hire there from, from Google taking away who I think is probably one of the most connected people in AI. I have to think that Google's turnaround had something to do with Logan's work. Right. And I can't even to. To understand the task. Right. If you started In April of 2024, it takes time to do these things. So I do, I do believe that we will start to see better rollouts, more developer focus. But hopefully more of these hit Front end users. And now Gemini finally works in apps, right? So yes, the front end of Gemini has been improved. You can, if you have a certain level of Gemini advanced, you can select which model, you' know which model, have that trust and transparency. But also now Gemini finally works within those apps, right? The same simple things it couldn't do, like in Gmail. Recap this email. Summarize this email. Hey, Bill from accounting emailed me a couple of weeks ago. What did he say? Right, Google Gemini couldn't really do anything of use in Gmail. In Google Docs, right? In Google Docs it's, it's write for me or write with me feature. Just wrote things that weren't related to the document that you are working on, right? Same thing in sheets. Google Gemini did nothing. It did absolutely nothing. I have videos where I said, hey, create a formula. I can't do that. Hey, you know, tell me five trends in this spreadsheet. Can't do that. You know, ask simple questions about something in Google sheets. Can't do that. Now Google Gemini actually works. So can Google turn it around? Yes, I think this month, the past two weeks now show that OpenAI actually has a real competitor in Google. Three months ago, I'll say this, I was wrong. Three months ago I said OpenAI is so far ahead, no one's going to catch them. They have competition now, right? They have competition now. Yes, Microsoft, right, But Microsoft uses OpenAI's GPT4O technology. But when it comes to models, when it comes to a platform, I said no one's going to be able to catch chat GPT. Google, you've got our attention now. Don't fumble it like you did in December 2023. All right, I hope this was helpful, y'. All. If it was, please repost this, share it with someone who, who needs to know. And this is the last show of 2024 wild, y'. All. So if you haven't already, please go to your everydayai.com. so on our website, you can sign up for our newsletter, we recap every single show. Maybe you're listening to this on the treadmill or out walking your dog. Sorry, people. Sometimes, you know, you say that you listen to this show live and you stay on there on the treadmill or something until I shut up. So, you know, you can always, if you miss something from a show, from a guest. We have great guests lined up already for 2025. I can't wait to bring you all some of the guests that we already have lined up. You can always go to your everydayai.com Sign up for the free daily newsletter. We recap every single podcast episode. You can go sort by categories. You can go click that AI Learning Tracks button or or the Episode button on our website. It is a free generative AI University. We've talked to hundreds of the smartest people in the world on AI. All sorted for you to learn there. So if one of your goals in 2025 is to get ahead with AI is to learn more, one stop shop. It's all there on our website. Thousands of hours of videos, audio. You can go listen to the podcast, read about it. It's all there. So thank you all so much. We appreciate your support as we wrap up 2024. Can't see what next year brings. Thank you for tuning in. Hope to see you next year at Everyday AI. Thanks y'. All.
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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.