EP 526: LLM May Updates: What’s new in ChatGPT, Gemini, Claude and more

This is the Everyday AI show, the Everyday podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business and everyday life.

Just in the last 10 days, there's been more than a dozen major updates to the large language models that most of us use and rely on each and every day. And I'll tell you what, even as someone that does this every day on the Everyday AI podcast, I myself find it hard to keep up. So I decided let's do a little recap and get everyone caught up to speed on what's new in large language models in the last month or two. Talking about new updates in ChatGPT, Gemini, Claude, and a lot more. All right, so if that's what you're trying to do, I think this episode is going to be for you. What's going on, y'? All? My name is Jordan Wilson and welcome to Everyday AI. This is your daily livestream podcast and free daily newsletter, helping us all not just learn what's happening in the world of AI, but how we can leverage it to grow our companies and our careers. So it starts here with the daily live stream podcast. It's unedited, unscripted, just bringing it to you real. But if you really want to grow and be the smartest person in your company when it comes to AI, you got to go to our website. That's where you leverage it. You learn here, you leverage@your everydayai.com so there you can sign up for the free daily newsletter. Each day we bring you some exclusive insights recapping the podcast, what you're listening to right now, or watching. But also on our website, you can find more than 520 videos, podcasts, write ups, right recaps, all sorted by category. So no matter what you're trying to learn, we already talked to the smartest people in the world and we already have the answers for you for free on our website. So make sure you go check that out. All right, so I'm excited today to talk about some large language model updates. So, yeah, there's been a ton even in the last 24 hours. There's been some pretty sizable ones that we're going to talk about. But before we get started, let's start off as we do most days by going over the AI news. So first, Saudia Arabia is making a big 600 billion AI push. So Nvidia will sell hundreds of thousands of its new Blackwell AI chips to Saudi Arabia's sovereign wealth backed startup, Humane. Launching with an initial batch of 18,000 chips. According to Reuters, AMD has signed a $10 billion deal with Humane to deliver 500 megawatts of AI hardware infrastructure over five years, aiming to diversify the region's AI supply chain. And Saudi firm D Vault will invest $20 billion in the USAI data centers and energy infrastructure, while companies like Google, Oracle, Salesforce, AMD and Uber plan $80 billion in joint tech investments across both countries. So this was some pretty big news over the last few hours as the US and Saudi Arabia make some pretty big billion dollar AI deals. And Saudi Arabia's aggressive AI investments signal its ambition to become a global AI hub, potentially creating new opportunities for tech professionals and businesses seeking to grow in that sector. Our next piece of AI News Grox AI bot has stirred a little bit of controversy with some unprompted comments about violence in South Africa. Africa? Yeah, this one's not good. So NBC News is reporting that Grok, the AI chatbot from Elon Musk's xai, has been unexpectedly responding to unrelated user queries with comments about violence against white people in South Africa. So the bot xai's grock is referencing racially charged violence in Musk's claims of quote unquote white genocide more than 20 times this week, according to the report, even when users did not mention South Africa. Yeah, that's not good. This behavior raises concerns about AI bias in moderation, especially as the topic has become politicized in the US And Musk continues to amplify such unfounded claims. X says it's investigating the issue, highlighting the challenges of managing AI outputs as bots increasingly interact with users on major social platforms. All right, our last piece of AI news. Pretty exciting if you care about the science of AI. Google's Google DeepMind's Alpha Evolve AI has broken records by inventing new algorithms for real world impact. Yeah, all the people that say AI is nothing but, you know, advanced autocomplete. Nah, it just literally created a new algorithm that's shattering the scientific community. So Google DeepMind's Alpha Evolve AI has invented a new computer algorithm that boosts Google's data center efficiency by 0.7% and speed up AI training by 23% on key operations. So the system combines gemini large language models with with evolutionary techniques to generate, test and refine code, outperforming previous OA AI coding tools by evolving entire code bases. Yeah, not just like rewriting the code, but just rewriting the rules of coding. So Alpha evolve surpassed a 56 year old matrix multiplication record and solved mathematical problems that had challenged researchers for decades, including breaking the record for the quote unquote kissing number problem in 11 dimensions. Google plans to expand access to Alpha Alpha Evolve for academic researchers, and its success hints at future breakthroughs in fields like chip design, material science and drug discovery. So yeah, this is absolutely huge news for the scientific AI community. So for more on those stories and a lot more, make sure to go to your everydayai.com get the free daily newsletter and we'll be recapping those there. All right, let's talk about what you maybe started listening to this show for so many large language model updates over the last month or so. So I said let's have a dedicated show to go over what's new in Chat gbt, Gemini, Claude and more. So if you are absolutely brand new here, we do also a weekly AI news story which a lot of times has, you know, some of these large language model updates, but sometimes there's so much going on on the new side we don't even get to cover all of these. So I've been thinking for a maybe I should start doing a monthly update. So whether it's just one large language model show or maybe, you know, maybe we do Chad GBT and you know, Google Gemini and Copilot like once a month updates. So live stream audience, it's good to see you all. Let me know, just say like monthly updates yes or monthly updates no. All right. Or if you're listening on the podcast I always put my email in the show notes my LinkedIn so you can just literally say monthly updates. Yes, monthly updates. Updates. Now I don't know if it's going to be super helpful for you all or if it will seem redundant since we kind of COVID it anyways, but I thought this might be a good place. Maybe you only listen to the show a couple times a month. This could be a good opportunity just to keep up with everything that's happening. So let me know I work for you all, just let me know yes or no. All right, let's start with Chat GPT a lot. So yeah, in the last couple of hours, pretty big update. So OpenAI released GPT 4.1 into the chat GPT interface for for all paid users. That includes Plus Pro and Team as well as enterprise and Edu Access will be coming in the will be coming in the forthcoming weeks. They also introduced GPT4.1 mini and replaced GPT4O mini for paid users and as a fallback for free users after they've hit their limits. So if you're confused on GPT4.1, it has a longer context window. You know, OpenAI says it's better for coding and it's a little better at instruction following. So this has been available for more than a month on the API side. And a lot of. Apparently OpenAI said that they heard from a lot of users that wanted this to come to the front end of ChatGPT. So, you know, if you're using chatgpt.com like a lot of us are, you know, we haven't had access to this GPT 4.1 model. I've been using it a lot in a lot of third party, you know, platforms that, you know, have offered this up. So the GPT 4.1 is a little confusing, right? Because they're not saying it's a complete replacement for GPT4O, which is still kind of the default workhorse model. So, yeah, interestingly enough, it's even kind of buried. So if you go into your ChatGPT account, I'm just double checking this on mine. Yeah, you have to even go down to the more models. So it's almost kind of hidden. So, yeah, this isn't a replacement for GPT4. Oh, which is confusing. Right. When you talk about GPT 4.1. And also OpenAI did say that they're going to be getting rid of GPT 4.5. They did confirm that that is going to be in the API. Most people are assuming it's going to be gone out of Chat GPT as well, although OpenAI did not yet confirm that. All right, that's the latest update. But one thing I think that no one really talked about, I mean, we did because I'm a dork and I think this is important, but ChatGPT has added Microsoft, SharePoint and OneDrive connectors for deep research for Plus Pro and team users globally, with enterprise access coming soon. All right, so here's what this means. And also your interface might look a little different. So as most of you know, because I talk about this, we have a lot of different Chat GPT accounts because companies hire us to teach their teams teams. So, you know, please reach out if you're trying to learn chat GPT, whether you're trying to, you know, teach 5550, we help, you know, teams of all sizes better use Chat GBT as their business operating system. So even you might see something a little different. This just popped up for me in the last couple of hours on my Pro account. So that 200amonth now it says skills. So, you know, the, the option to create an image, search the web, write with Canvas or use Deep Research is now coupled under a Skills icon. Whereas on my, you know, normal chat GPT plus the 20amonth on my team's account, on my enterprise accounts, I don't see that anymore. So if, if you're looking for this new, this new Deep Research connector, you might have to first hit the skills button if you're on a pro plan. So just keep that in mind. All right, here's where this gets exciting. So Deep Research, when you click it, you will now have this option to choose the sources. So by default it's web search, right? Which for most cases you'll probably want. However, now there's some use cases where you might not even want Web Research. So if you are new and maybe you don't use ChatGPT a ton or maybe you don't know about deep Deep Research, it's amazing. I do think OpenAI's version of deep Research and Google's new updated version of Deep Research are probably the biggest time savers for beginners to AI, right? Literally it will go out and look at anywhere from you know, 50 to more than 100 or 200 different websites. It will use reasoning and chain of thought. Think like a human, plan like a human. It'll start researching something, find something online and change its path of research. Very impressive. But now you can include a whole GitHub repo. You could also include SharePoint, Microsoft SharePoint. So that is extremely exciting. And you can also toggle off web search, right? So you know, pretty big play and pretty big integration here with if you are a heavy Microsoft using team to connect your entire SharePoint site and then use Deep Research just on that. So you could, you know, use the Web and SharePoint or you could even, you know, toggle web search off and just do, just do the deep research on SharePoint. So pretty impressive. This is technically something that Claude offered a couple of weeks ago, but only to their highest, the higher paying tier on the max plan. So pretty, pretty big move there from OpenAI and Chat GPT. All right, a lot more Chat GBT updates. And you know what, I actually just did the last two months, right, because there's been, there was a lot that changed in April and some of the stuff from May wouldn't make sense. So again, maybe if I keep doing this every month, you know, I'll just start with, you know, middle of May to middle of June and we'll call it the June updates. All right, so GPT4 old school. Ah, it's gone now. So OpenAI removed that model and also GPT4O became the sole flagship model. So, yeah, don't get confused. Even though there's a 4.1, it's still the 4.0. That is kind of the default workhorse model. Also, this is pretty big and I think we're going to do a dedicated show on this in the coming weeks. ChatGPT is now a shopping platform, right? Fully integrated shopping. So OpenAI added shopping cards with images, prices, reviews and direct link for product queries. If I'm being honest, I haven't used this a ton because I keep forgetting it's there. This is another one of those things, right? When I tell people, hey, if you want to succeed in AI, you need to like, unlearn, right? Like, this is one of those things I'm trying to unlearn, right? Because a lot of times when I'm shopping for something, I just go to Google Shopping or I go to, you know, straight to Amazon or Target. I've been loving the Target app lately. You know, getting, getting like pickup, like so, so good. I did that today. You know, I don't have a ton of time, so to be able to go, you know, do an entire, you know, day's worth of grow, or not a day's worth, but to do two hours of grocery shopping and just pulling up, amazing, by the way. But I'm trying to unlearn. And remember now that ChatGPT search is like going full Amazon, right? It is going, you know, the ability to chat with shopping products is, is huge, right? I, I, I do, I, I did read that OpenAI has plans in the future to potentially do the entire checkout process in OpenAI, which would be bonkers. But no, no official word on that yet. But this is pretty big. I think it's a shot at Google Shopping. I think it's a shot at Amazon, right? Let's be honest, Amazon tried to roll out their AI shopping assistant, Rufus, and it stinks. It's not good. Can't answer the most basic questions. So, you know, in what little testing I've done with this new Chat GPT Shopping, it's pretty good. Live stream audience. Have you guys used this yet? The, the, the, the new shopping feature inside ChatGPT. It's pretty, pretty impressive. You know, the downside is, you know, I'll end up spending a bunch of money I don't have. But the upside is I'll save so much time researching. You know, I'm one of those people that I will search for like even if it's A$50 something, I'll spend like hours sometimes doing research. Right the old school way. You know, luckily, you know, I will use, you know, large language models for this now, you know, deep research probably for bigger purchases. But you know, still it's something I'm, I'm using a lot of time and I think even the large language model options have not been the best. Perplexity has had this for a couple of months, but I think Perplexity is like, like so overzealous when you're asking about products even if you're not tried to shop. Perplexity has this propensity to just push shopping even when you're not trying to shop. So like I know Perplexity has that feature built in, but it's, it's, it's almost too pushy. And when I'm trying to just get more informational about something that I might want to buy, it's, you know, trying to push me to buy it right away. And it's actually trying to push me to buy something like way too soon when I'm still trying to learn about it. So you know, so far the ChatGPT search or sorry, the ChatGPT shopping is, is not as pushy as the perplexity one. And it's again, in my limited testing it is much better. 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. 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 chat GPT 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 everyday AI.com partner to get in contact with our team or you can just click on the partner section of our website. We'll help you stop running in those AI circles and help get your team ahead and build a straight path to ROI on Gen AI. All right, some more updates In April, so obviously OpenAI released the O3 O4 mini and 04 mini high reasoning models inside Chat GBT with agentic tool use and introduced memory with search also in April. Smaller one, but you know, kind of cool. And also sets the stage for what OpenAI may be doing in the future. So they introduced OpenAI, introduced the Chat GBT image library, allowing all images to be saved and accessed via the sidebar on web, iOS and Android. So yeah, the, the mega viral GPT4O image gen. So if you didn't know all the images that you create right now with that image gen, there's a little library icon on the left hand side. So why is that important? Well, you know, if you listen to the show, a couple of weeks ago, we saw reports that OpenAI is working on a social network, among other things, that will very prominently display the images that people create with this new feature. So, you know, one small little step, right? There's no social network yet, but it looks like OpenAI may be sneakily laying the groundwork for a social network of the future. All right, last but not least, on the update side for Chat GPT, they added a referenced save Memories feature, allowing Chat GPT to reference a user's entire conversation history. A lot of people love this. I absolutely hate it. I turn it off. One of the reasons why is I use Chat GPT all day, right? Some like, it always varies, right? I, I, I always say I, I use large language models anywhere from two to ten hours, I'd say generally about five hours a day. I use ChatGPT for everything. And this, the kind of, you know, this conversational history, you know, memory, like it, like advanced depth in your memories. To me it's absolutely terrible because I use Chat GBT for so many different things. I don't want it remembering my preferences for how I'm doing research versus how I might want to, you know, refine an email. You know, in my research, I might want it to be super in depth, you know, using, you know, longer sentences with, you know, rich detail. And then in my emails, I might want them super short and informal. So it's, it's sometimes picking up trends and tendencies because I'm using it for, for everything, for multiple businesses, multiple clients, multiple things in my personal life, it's actually making ChatGPT worse for me. But I know a lot of people like it. So if you do like, you know, or if you are using ChatGPT for very limited purposes, I think this is a great feature. For power users, not so much. All right, so that's a wrap on what is new in Chat gbt. Let's move over to Google Gemini. So Google Gemini woke up last week and chose violence for no reason, literally zero reason at all. They introduced a new version of their world leading Gemini 2.5 Pro model. So they already had the world's most powerful model. It wasn't necessarily close, at least according to most benchmarks. And they went ahead and released a more powerful version of it. It. Right. Which is something that Google has not traditionally done. You know, normally it's, you know, OpenAI and Google and you know, sometimes anthropic or meta, right. Everyone's timing their releases around each other. It's like, oh, you know, OpenAI comes out with the world's most powerful model and you know, the next day, bam, Google responds back, right? Or Claude, right? Although Claude's been sleeping at the wheel for like six months. Google, I don't think they've done this before, right. They literally came out and released a new version of Gemini 2.5 Pro called the IO Edition. So yeah, Google's IO conference coming up here in a couple of days. So a lot of upgrades. So specifically it is better according to Google. And even in my very limited testing with coding, particularly for interactive web apps topping the web dev arena leader leaderboard, I literally think, think I might do a series of shows just on Google Gemini's Canvas. It is so good. So good. All right, comments. Another thing, it's sometimes hard for me to like, you know, if I'm going through and looking at comments. So if, if that would be interesting to you to see because the Canvas mode is, is crazy, y'. All. So yes, Gemini Canvas, it's, It's similar to OpenAI's canvas but much better. It's. It' to Claude's artifacts. Whereas I had always loved artifacts even more than OpenAI and Google's Canvas up until like this. So even two weeks ago, I was still using Claude artifacts for a lot of things. When you're just trying to create a, a visualization for your data, when you're trying to, you know, create a little, you know, a little program, right? That's a, a huge aspect of large language models right now that I think people are not using is you can create little programs for your used, dump a bunch of your data, go in and use it whenever you want, right? You can literally create a little better version of a CRM or whatever based on all your data. Right? But with this new Release, this Gemini 2.5 Pro IO, the Canvas Modus is scary good. So if you want to see that, I might do literally like up to three episodes Just on Gemini Canvas. So just say in the comments, say, gemini Canvas, you know, yes, or Gemini Canvas, no. Right. I think, you know, you don't even have to be a technical person. The fact that you can go in there, just dump a bunch of data and say, you know, essentially create me an app that can help me make better decisions. Right. You don't even have to tell it what you want. Right. Sometimes I'll just dump a bunch of data in a bunch of contexts and I'll just say, you know, create me an app or create me a web app, or create me a data visualization tool that helps me better analyze this, better learn it, make better decisions. And it's wild what, what these tools, you know, even OpenAI's canvas, inside chat, GPT Cloud Artifacts is great at this. But now with this new IO version, Google takes the cake. All right. Also, this is pretty cool. Not a lot of people talking about this because it's hard to keep up with everything that Google's shipping now. So now inside their mobile and web apps, it's gained native image editing capabilities for both uploaded and gener generated pictures, whereas before you had to be on the desktop version. So like I said, the new Gemini 2.5 Pro Preview is absolutely crushing everyone. So, you know, they were already in first place in the LM arena, which is essentially a blind, you know, AI test. You put in one prompt to get two outputs, choose the better one, they're already crushing everyone else and they just go, they went ahead and released a better model. What's interestingly, Interestingly enough, though, OpenAI, even though they're not more number one, they have spots 2, 3 and 5 with their 0, 3, 4, 0 and 45 models. So, you know, OpenAI still. Right. Even though, yes, technically, Gemini 2.5 Pro, a hybrid model that can reason when it needs to, is still the single most powerful model in the world. OpenAI, you know, you can't just like write them off, right? They have numbers two, three, and five. And you have to assume once they bundle this all up under the G GPT5 architecture or system, you do have to believe that they will then exponentially leapfrog everyone else. You have to believe it. But, I mean, we'll see. All right, more Google Gemini updates. This was in the end of April, they launched VO2, the video generation tool inside of Gemini Advanced. So, yeah, a lot of people don't see that. Just look at it. What's funny is it actually came up from me first on my Gemini app on my phone, even though it was the same account before it showed up on the, the, the, the web version inside Chrome or Edge. So that was interesting. So, so that allows paid Gemini users to generate high quality 8 second videos from text prompts. Here's, here's another thing. I was talking about this with someone the other day. There's a good chance that you have Gemini Advanced and you don't even know. So if your company uses Google Google Workspace, there's a good chance that your company just pays for that extra storage. You know, it's the Google One subscription and that includes Gemini advance, it includes Notebook LM plus. So there's a good chance that you already have access to VO2, which is the world's best. And it's not even close AI Video generator. And you might not even know it. So yeah, you might be wondering, well, what would I use it for? I don't know, maybe your website needs, you know, updated visuals and put a video background, right? You can literally just do an 8 second video background on your website, see if it brings in more conversions. If you have something old and ugly, it, there's a good chance it might also. Now, Gemini 2.5 Flash is the newest Flash model. This is great for people building off of the Google Gemini API. There's really no reason to use it if you're going to like gemini.google.com right? Because there you're not paying for it. So you're always going to use the most powerful version, which is 2.5 Pro for most use cases, right? But now the Flash version, which actually does for a Flash, which is a smaller version, does extremely well on most, most benchmarks. It is punching way out of its weight class for being a quote unquote mini model. So it's optimized for fast and efficient reasoning. So one other thing, let me see if this is actually on my list here. So Google Gemini did also update the, the deep research to 2.5, 2.5 Pro as well. That was in April. That one's big, y'. All. That one's big. Because I had been saying for a while that OpenAI's deep research was in a league of its own. But now Google Gemini with their 2.5 Pro is in that league. And here's why. A lot of the other Deep Research tools, it's more of this blanket approach, right? You put in a query and essentially it'll go out in one swoosh and it might go out to 10, 20, 50 different websites, right? But now that it's using the 2.5 Pro model, which is a reasoning model, it's a hybrid model. So it will think and plan like a human when it needs to. So when it's doing this deep research. So think of something in your industry that you spend a lot of time on. Maybe it's, it's, it's a growing, you know, a growing trend in your industry. Maybe it's, you know, keeping up with your competitors, whatever it is, maybe you're spending a lot of time doing this, you know, know, doing certain research and personalizing it, pulling out certain information, right? Which is what so many of us do, right? Like we go in and we read these, you know, 50 websites with something in mind, right? Our own, you know, our own business agenda. You know, maybe we're just looking for certain pieces of information from 50 websites. So, you know, to have a personalized, essentially research assistant in open AI's deep research and Google Gemini's deep research, it's silly. Good. But you know why the Google Gemini UPD is especially good is now it can reason, right? So it'll start to do some research. And I have a screenshot here for the live stream audience. It might find things according to your certain research. You might say, hey, Google Gemini, I'm looking up, you know, product or competitor A's product B. And it's going to look up, you know, competitor A, product B and it's like, oh wait, did you know that competitor C has product B as well? Well, let's research that. You know, even though you told me, right, human, you told me that only, you know, competitor A has product B. Actually, competitor C and D just released this a week ago, whether you know it or not. So it's still going to fulfill your query, but as it goes out, it's going to find new things and it may steer, it may create a fork in the research road, whereas the previous version of Google's deep research did not do that. All right, here we go with Anthropic Claude their April and May updates. So, so the May one. This is pretty good if it worked consistently, but it just doesn't work consistently. Come on, Anthropic, get it together. Fix this. I'd love it. It even works better than Google's own integrations in some use cases. So May 1, Anthropic launched their integrations feature which connects Claude to external applications including Jira, Confluence, Zapier and others. And the expanded research capabilities with an advanced research mode for thorough report preparation with up to 45 minutes of research time. That's nutty. But the, the one that I think a lot of people are talking about, myself included, is the new research capability and Google workspace integration. So being able to connect to your Gmail calendar and Google Docs and this transforms how Claude can find and reason with information. So yes, if you are on a plate, a paid quad account. First of all, this new interface, Claude, I don't know if it's just me, y', all, I hate it. I mean, Apple does the same thing. Claude's interface used to be super clean. Now like you gotta click like eight times, right? To, to do simple things, whereas before it was like three clicks, right? I know that sounds like petty for me to pick on Claude, but when they launch this new like, you know, they're like, oh, we have a cleaner ui, better user experience. I'm like, no, you don'. I got to click way more and it makes me not want to use your stinking tool. That and the fact that even on a paid plan, after I use Claude for 10 minutes, it's like you've hit your rate limit anyways. What I do like about Claude now is the ability to connect your Google Drive, your Gmail, so it can search your Gmail as well as your calendar. And actually in some situations does this better than Google's own tools, right? So as an example, I did something, I said, what's on my calendar for tomorrow? I'm not feeling good. Find the emails for those people and say I've gotta postpone, right? So Claude will go through. It will. With just that prompt alone. You know, I think I have five meetings on my calendar tomorrow. It went through, found all the meetings, found the email for those people and drafted a relevant email for all those people according to what I told it, right? It can't send it when I try to do the same thing inside Google Gemini, unfortunately it didn't work well. Even though Google Gemini is directly integrated with obviously if you click that app button, right? So if you go to gemini google.com and if you're using Google Gemini in the chat interface, you can click the app button and pull up your calendar, your Gmail, etc, it doesn't work as well in Google Gemini, which is weird and which is why if Claude could get this to work consistently, it would be amazing. The problem is like one thing I try to use use it for is to go through large batches of emails and asking for specific things. And a lot of times it's not really using the conversational aspect, right? The NLP aspect of a large language model. It's Usually just doing more search based. So you know, I'll say something like, hey, tell me everyone that's reached out, you know, about sponsorship or advertising, something like that. And it literally just does a search for the word like sponsorship or advertising. Right. But then I'll see emails where it's like, okay, clearly these companies reached out to sponsor or advertise or have me speak or something, but because it doesn't match that exact word. Also the Claude this it does at least. I tested it for a few hours a couple of weeks ago and it really struggles going deeper into your email inbox. Right? I have tens of thousands of emails. It doesn't do a good job, right. It will just generally do like the closest exact search or just like your first couple pages of emails. But that doesn't help me. Right? And if you use email like I do, right. I don't delete emails, I don't archive them. Right. I try to read them as much as I can, but I get way too many emails. Stop selling me all your, you know, your, your garbage, random AI. I get a hundred emails every day like, oh, I've, you know, we have a better large language model than Chat gbt put us on your show. Not. No, no you don't. Anyways, you know, I can't like literally search and find this. So if Claude can make this better, I would love it and may maybe it's just me live stream audience, let me know. Have you used this? Is it good? Is it, does it work better for you? But the potential is there. So hopefully this is something that Anthropic continues to update. Couple other things. They introduced their Max plan for Claude which is a $100 a month or $200 a month that essentially lets you use it as much as like Google, you can use it for free, right? This, let's be honest, this is terrible. This is terrible. The fact that Anthropic, you have to pay a hundred dollars or two hundred dollars a month just to use their basic model like for more than like 10 minutes. Yeah, I, I generally copy and paste a ton, right. But the limits are just ridiculous. So you know, I guess this is one of those things that, you know, anthropic release, there's some other, there's some other features that are available in this $100 to $200 a month plan that aren't available in the, in the normal paid plan. But I don't know for me, you know what you get with Chat GPT's $200 Pro plan. The limits are insane, right? They're, they're, they're so good. Even the limits on the normal $20 a month chatgpt plus plan plan, I find very few people are hitting those limits. But you know, on the cloud plan, apparently you got to pay a hundred dollars if you want to use it. There was literally, I did a show on this. If you use Claude. So there's certain hourly increments. I think it's like every four hours or five hours. Even if you do one prompt, it counts on that. So like, I did the math. I think it's like, let's just say you used Claude every five hours and did like one prompt. You could be like, like not use your $100 a month plan after like a couple, like after like two weeks, right? If, if you use it like that, obviously no one's using it like that. But their rules and their rate limits are absolutely bonkers. All right. Also in April, Anthropic launched their Claude for Education with a specialized learning mode that guides students through Socrate, Socratic, Socrates Socratic. I think that's how you pronounce that. I should know that. Socratic questioning rather than just providing direct answers. So yeah, for those students that actually want to learn with a large language model and don't just want to get the model to spit out the answer, it more guides them and improves critical thinking, which I think is actually great. I think that's a great mode. Like, I wish that that was an option on all large language models. Sometimes I would just want to learn, learn and work a little bit more versus just the large language model spitting the answer out obviously with a little bit, with a little bit of prompting. You know, you can have large language models do that. But I actually like that mode Claude for education. All right, Microsoft Copilot. So I mean I could do like 10 shows just on Microsoft Copilot. I'm not really focusing here as deeply on Microsoft 365 Copilot because it is a, a beautiful mess, right? There's like Microsoft 365 Copilot. You can get it in like 832 Microsoft applications. Like it's everywhere. So, but a couple of things that have some new updates. So Copilot pages have become available worldwide for sign in users. They've introduced a deep research feature for pro users using advanced reasoning models using OpenAI's. Also in April they debuted Copilot. So search on Bing, they announced memory and personalization features. And Copilot pages, they introduced Copilot actions for text Task, task execution. Although those have not been rolled out very widely yet. I'm looking forward to using those. They've expanded Copilot Vision to new platforms, which is so cool, by the way. Has anyone used Copilot Vision? So essentially, if you're using the Edge browser, if you look at the very bottom, there's this little tab that's the Copilot Vision. The cool thing is, is, yeah, you can up a screenshot of, you know, whatever website you're on to any large language model and talk with it. Right. I think Google Inside AI Studio has this stream Real Time, which is really good at that. It essentially takes a screenshot of, you know, whatever is on your screen. But the good thing with Co Pilot Vision is it looks at the entire website so not even just what's on your screen. Really cool. I, I'd say one of the more underutilized and least talked about just cool AI features. So they expanded that to new platforms. So yeah, it doesn't work on every single website. They launched with just a few dozen websites that it works on. So they've expanded that to new platforms. They've added AI podcasts. So in the same way that Google has their, you know, Deep Dive Audio overviews, Copilot has that as well. And they have a new Deep Research feature feature the same way. Have this on my screen here for our live stream audience. This is more. If you're using like Copilot, like Pro, if you have an enterprise version of Microsoft Copilot, this interface is not going to look familiar. So it's a little confusing. You have your kind of biz chat versus a personal copilot chat. So I pay the 20amonth for Copilot Personal Pro. So, you know, in this situation you have like a quick response. You have Think Deeper, which uses OpenAI's reasoning model, and then you have Deep Research, which presumably uses OpenAI's reasoning model as well. But then it does the Deep Research. So not nearly as good as OpenAI Deep Research or Google's new Deep Research with 2.5 Pro. However, it's, it's still, still, it's still serviceable. That version of Deep Research, I'd say it's on par with, you know, Perplexity. Gro is actually pretty good. The problem is, is Grok is, you know, if it uses information from X, then it's a wild card and you probably shouldn't touch it. Grox is actually really good if you don't use information from, you know, X Twitter. But the Deep Research here From Microsoft Copilot is pretty good. All right, Last but not least, we have some updates from Meta. So Meta obviously had their conference, their llamacon conference conference where they announced their standalone Meta AI mobile app launched globally featuring hyper personalization using social graph data, a Discover Feed, advanced voice capabilities, integrated image generation called Imagine and web search. And then right before that, a couple of weeks actually they announced their new models. So Llama 4 the Scout, Llama 4 Scout and Llama 4 Maverick which are already released and the first open weight natively multi modi models with unprecedented context support. Yeah, I think 10 million token context window which is nutty. And the mixture of experts, architecture and any day, week, month now we'll probably be seeing their large version. So Scout and Maverick are the small and medium versions of llama 4 and then we should be seeing llamas, llama 4 behemoth, which is the large version and then we'll separately get a, a reasoning model. So thanks to the Meta crew that I was talking to what conference? Oh, at the, the IBM Think conference. I was talking with the Meta developers who cleared some of that up for me. So the, the reasoning model, from what I was told, Llama 4 reasoning model will be a separate model. It won't be Scout Maverick, Behemoth with reasoning, it'll just be a reasoning model. They might tie it to one of those. But they said at least right now that it is its own separate model. All right. Oh no, there's still Grok. So Grok announced a couple of new things in April. So they introduced personalized memory, so similar to what Chat GPT rolled out, and custom workspaces, which allows Grok to retain information from previous conversations and organize related content. And they also launched Grok Studio, which is a canvas like collaborative tool for creating various forms of content, supporting code execution and Google Drive integration. So here we go, the workspace. You know, now it's, you know, a year ago this was really cool and innovative, but now it's like you just gotta have it, right? So when you launch a new chat in workspace, you, you can have it start with custom instructions, you can have it start with attachments. So if you use projects inside ChatGPT or projects inside Claude or kind of gems inside Google Gemini, a little different then, you know, this would be for me, familiar. Oh, another thing that was on the Google Gemini update list that I forgot to put in there because they didn't announce it, it just happened. But now your gems inside Google Gemini can actually use the Most powerful version Gemini 2.5 Pro, which makes gems now all of a sudden really good and really useful. And I hope that OpenAI will soon follow suit. The problem right now, now with GPTs. Right? So you know, talking about gems, I got sidetracked here. So the problem is you still have only the GPT4O model that you can use for GPTs. Luckily they did add 4O image generation. So you can create GPTs that can use the 4O image generation. But you know the most powerful models, the O3. Right. You can't use the that for GPTs, but inside Google Gemini gems you can use 2.5 Pro. All right, so. And then last but not least for X Slash Grock, they launched their voice assistant with action taking capabilities. So. Oh no, sorry, this is. Sorry, wrong, wrong headline here. This is for Perplexity. Hey, I'm a human. Humans make mistakes. So Perplexity launched their voice assistant with action taking capabilities on iOS. This was about three, four weeks ago. @ the end of April, they also upgraded their GPT powered image generation. They added Grok 3 beta beta for advanced reasoning capabilities. Or no, no they didn't. Sorry. My, my, my last slide here is confusing. All it's supposed to say is Perplexity added their new voice assistant inside the iOS app, which has a ton of potential. Again, it just isn't always working. So one thing it can do, it's trying to be what Siri isn't. So if you do have a paid plan, give it a try. For some things, it's pretty good. So you can say like, hey, what's on my calendar? Right? So Siri's not always good at that. So it can read your calendar, it can draft emails. That's something Siri can't do right now. You can set iPhone reminders. Also you can launch YouTube videos just with your voice. So that is the new for perplexity, the new iOS voice assistant. So a lot of promise. Like, if I'm being honest, I don't use Perplexity a whole lot. You know, ever since the deep research tools came out, I don't find much utility in Perplexity. But this is one instance I'm, you know, I still pay for Perplexity because I want to make sure that I can inform you of the latest and greatest. So I pay for literally every single tool. It's way too much money to do that. And I, I've been like, why am I still paying for Perplexity? It's not very good, if I'm being honest. It's not. But this is one thing. Hey, no one right now likes Siri. No one does, right? We're supposed to get all these AI, you know, Apple intelligence. Siri, Siri still dumber than a box of rocks. And that's being mean to the box of rocks. It doesn't know anything. It can't do anything. It has like zero AI, right? There's actually multiple class action lawsuits against Apple because of all this marketing and commercials they put out about this smarter Siri with all this AI and it doesn't do anything anyways. Perplexity could actually compete here if they make this better, number one, and if they add more features, number two. So at least shout out Perplexity. I was suggesting some things on the Twitty machine and they reached out and said that they're passing some of my feedback back. So yeah, hopefully they make it better. There's a lot of potential there with that iOS assistant. Just because who would have thought that even a year after Apple announced all of these Smart Siri things that we would still not have it. So I like this kind of small pivot it that Perplexity is doing here, but they got to update it, they got to make it better, more reliable. But hey, might give us a reason to keep Perplexity along for a little longer. All right, that's a wrap, y'. All. Did you like the monthly updates? I know it was a little longer. There was a lot to cover. Technically. I put in April and May because there was so much in April as well. So, you know, it's hard to keep up with all the large language model updates. Yes, on most Mondays we do an AI news show, but there's so many big large language model updates, we don't even cover it. Right. We usually cover the top like eight to 10, you know, AI news stories. But a lot of them are news. They're things impacting business, politics, the economy. Right. So we're not always covering every single large language model update. So hey, if you want these monthly updates, if these are going to be helpful, let me know. You know, maybe if you only listen to the show, you know, once or twice a month, maybe this is a show that could really be useful for you. So let me know. Know, please, when I say I do this thing for you, I do this thing for you. So if this is not helpful, tell me monthly update. No, if it is helpful, tell me monthly update. Yes. And we'll keep doing it. Reach out on the podcast. Thank you for listening. If you haven't already, please go to your everydayai.com Sign up for the free daily newsletter. If this is helpful, tell someone about it. If you're listening on the podcast, please leave us a rating. That would be super helpful. Follow the show. I'd appreciate you that. I'd appreciate you also tuning in tomorrow and every day for more Everyday AI. Thanks, y'.

All. 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.