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

Topics Covered in This Episode:

1. ChatGPT 4.1 New Features Overview
2. ChatGPT Shopping Platform Launch
3. ChatGPT's Microsoft SharePoint Integration
4. ChatGPT Memory and Conversation History
5. Google Gemini 2.5 Pro Updates
6. Gemini Canvas Powerful Applications
7. Claude Integrations with Google Workspace
8. Microsoft Copilot Deep Research Insights

Keywords:

ChatGPT, AI updates, Large Language Model updates, OpenAI, GPT 4.1, GPT 4.0, GPT 4.5, GPT 4.1 Mini, Saudi Arabia AI investment, NVIDIA Blackwell AI chips, AMD deal, Humane startup, Data Vault, AI data centers, Logic errors moderation, Grox AI, Elon Musk, XAI, Google Gemini, ChatGPT shopping, Microsoft SharePoint integration, OneDrive integration, deep research, AI shopping platform, Google DeepMind, Alpha Evolve, evolutionary techniques, AI coding, Claude, Anthropic Claude, Confluence integration, Jira integration, Zapier integration, ChatGPT enterprise, API updates, Copilot pages, Microsoft three sixty five, Bing search, Meta AI, Llama 4, Llama 4 Maverick, Llama 4 Scout, Perplexity, voice assistant, Siri alternatives, Grok Studio, AI social network.

Podcast Transcript

Jordan Wilson [00:00:16]:
Just in the last ten 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 every day 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 chat, GPT, Gemini, Claude, and a lot more. Alright. So if that's what you're trying to do, I think this episode is gonna be for you. What's going on y'all? My name is Jordan Wilson and welcome to everyday AI. This is your daily live stream 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 livestream podcast.

Jordan Wilson [00:01:20]:
It's unedited, unscripted, just bringing it to you real. But if you really wanna grow and be the smartest person in your company when it comes to AI, you gotta go to our website. That's where you leverage it. You learn here. You leverage at 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.

Jordan Wilson [00:01:54]:
So no matter what you're trying to learn, we've 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 twenty four hours, there's been some pretty sizable ones that we're gonna talk about. But before we get started, let's start off as we do most days by going over the AI news.

Jordan Wilson [00:02:22]:
So first, Saudi Arabia is making a big $600,000,000,000 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 $10,000,000,000 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, Data Vault, will invest $20,000,000,000 in The US AI data centers and energy infrastructure, while companies like Google, Oracle, Salesforce, AMD, and Uber plan $80,000,000,000 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 prompted comments about violence in South Africa. Yeah.

Jordan Wilson [00:03:51]:
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 Grok, is referencing racially charged violence in, Musk's claims of, quote, unquote, white genocide more than 20 times this week according to the reports, 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. Alright.

Jordan Wilson [00:04:56]:
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 evolved AI has invented a new computer algorithm that boosts Google's data center efficiency by point 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 o AI coding tools by evolving entire code bases. Yeah.

Jordan Wilson [00:05:53]:
Not just like rewriting the code, but just rewriting the rules of coding. So alpha evolve surpassed a fifty six 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 AlphaVolve for academic researchers, and its success hints at future breakthroughs in fields like chip design, material science, and drug 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 youreverydayAI.com. Get the free daily newsletter, and we'll be recapping those there. Alright. Let's talk about what you maybe started listening to this show for.

Jordan Wilson [00:06:44]:
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 ChatGPT, 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 long time. 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 GVT and and, you you know, Google Gemini and Copilot, like, once a month updates. So, livestream audience, it's good to see you all.

Jordan Wilson [00:07:30]:
Let me know. Just say, like, monthly updates, yes, or monthly updates, no. Alright? 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. No. I don't know if it's gonna be super helpful for you all, or if it will seem redundant since we kind of cover it anyways, but I thought this might be a good place. Maybe you only listen to the show a couple times a month.

Jordan Wilson [00:07:56]:
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. Alright. Let's start with ChatGPT. A lot. So, yeah, in the last couple of hours, pretty big update.

Jordan Wilson [00:08:11]:
So OpenAI released GPT 4.1 into the ChatGPT interface for all paid users. That includes plus pro and team, as well as, enterprise and EDU access will be coming in the forthcoming weeks. They also introduced GPT four one Mini, and replaced GPT four o Mini for paid users and as a fallback for free users after they've hit their limits. So if you're confused on GPT four one, 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 g p t 4.1 model.

Jordan Wilson [00:09:10]:
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 GBT 4.1 is a little confusing. Right? Because they're not saying it's a complete replacement for GBT 4 o, 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.

Jordan Wilson [00:09:40]:
So, yeah, this isn't a, replacement for GPT four o, which is confusing, right, when you talk about GPT 4.1. And also, OpenAI did say that they're gonna 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 gonna be gone out of ChatGPT as well, although, OpenAI did not yet confirm that. Alright. 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 ChatchipBT has added Microsoft SharePoint and OneDrive connectors for deep research for plus pro and team users globally with enterprise access coming soon.

Jordan Wilson [00:10:28]:
Alright. 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 ChatGPT accounts because companies hire us, to teach their, teams. So, you know, please reach out if you're trying to learn, ChatGPT, whether you're trying to, you know, teach 5,550. We help, you know, teams of all sizes better use Chad GPT 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 $200 a month, now it says skills.

Jordan Wilson [00:11:05]:
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 TPT plus, the $20 a month, on my team's account, on my enterprise accounts, I don't see that anymore. So if 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.

Jordan Wilson [00:11:52]:
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 a hundred 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.

Jordan Wilson [00:12:43]:
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 the 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 ChatGPT. Alright.

Jordan Wilson [00:13:30]:
A lot more, ChatGPT updates. And you know what? I actually just did the last two months. Right? Cause 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, May to June, and we'll call it the June updates. Alright. So, GPT four old school, it's gone now. So, OpenAI removed that model, and also GPT four o became the sole flagship model.

Jordan Wilson [00:14:00]:
So, yeah, don't get confused. Even though there's a 4.1, it's still the four o that is kind of the default workhorse model. Also, this is pretty big, and I think we're gonna do a dedicated show on this in the coming weeks. Chad GBT 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.

Jordan Wilson [00:14:36]:
Right? When I tell people, hey. If you wanna 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.

Jordan Wilson [00:15:01]:
So to be able to go, you know, do an entire, you you know, days worth of growth 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 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.

Jordan Wilson [00:15:42]:
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 ChatGPT, shopping, it's pretty good. Livestream audience, have you guys used this yet? The, the the the new, shopping, feature inside ChatouchBT, 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.

Jordan Wilson [00:16:29]:
Right? The old school way. You you know, luckily, you know, I've 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 I 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 trying 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.

Jordan Wilson [00:17:27]:
So, you know, so far, the ChatGPT search or 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. Alright. Some more updates, in April. So, obviously, OpenAI released the o3, o four mini, and o four mini high reasoning models inside ChatGPT with agentic tool use and introduced memory with search. Also in April, smaller one, but, you know, kinda cool and also sets the stage for what OpenAI may be doing in the future. So they introduced, OpenAI introduced the ChatGPT image library, allowing all images to be saved and accessed via the sidebar on web, iOS, and Android. So, yeah, the, the mega viral g p t four o image gen.

Jordan Wilson [00:18:21]:
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 a social network of the future. Alright. Last but not least on the update side for ChatGPT, they added a reference save memories feature allowing ChatGPT to reference a user's entire conversation history. A lot of people love this. I absolutely hate it.

Jordan Wilson [00:19:18]:
I turn it off. One of the reasons why is I use ChatGPT 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 Chad GPT 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 ChatGPT for so many different things.

Jordan Wilson [00:19:55]:
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 you know, longer sentences with, you 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 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. Alright. So that's a wrap on, what is new in ChatGPT.

Jordan Wilson [00:20:46]:
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. Right? Which is something that Google has not traditionally done.

Jordan Wilson [00:21:22]:
You you know, normally, it's, you know, OpenAI and and 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.

Jordan Wilson [00:21:58]:
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 I might do a series of shows just on Google Gemini's canvas. It is so good. So good. Alright. Hey. Comments.

Jordan Wilson [00:22:29]:
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 also. Yes. Gemini Canvas, it's it's similar to OpenAI's Canvas, but much better. It's it's similar 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 clawed 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 yourself to use, dump a bunch to your data, go in and use it whenever you want.

Jordan Wilson [00:23:24]:
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 I o, the canvas modus is is scary good. So, if you wanna see that, I might do literally, like, up to3 episodes just on Gemini canvas. So just say, you know, 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.

Jordan Wilson [00:24:07]:
Right? Sometimes I'll just dump a bunch of data, in a bunch of context, 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 open AI's, Canvas, inside ChatGPT, cloud artifacts is great at this. But now with this new IO version, Google takes the cake. Alright. 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 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.

Jordan Wilson [00:25:06]:
So, you 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 release a better model. What's interestingly, interestingly enough though, OpenAI, even though they're not more number one, they have spots two, three, and five with their o3, four o, and four five models. So, you know, OpenAI is 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 point, GPT five, 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.

Jordan Wilson [00:26:09]:
Alright. More Google Gemini updates. This was in the April. They launched v o two, the video Gemini, 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 for 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.

Jordan Wilson [00:26:35]:
So that was interesting. So, so that allows paid Gemini users to generate high quality eight 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 advancing 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 Advanced. It includes NotebookLM plus.

Jordan Wilson [00:27:02]:
So there's a good chance that you already have access to v o two, 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 a eight 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 two point five 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.

Jordan Wilson [00:27:43]:
Right? Because there you're not paying for it, so you're always gonna 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.

Jordan Wilson [00:28:25]:
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 you put in a query, and essentially, it'll go out in one swoosh, and it might go out to ten, twenty, 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, doing certain research and personalizing it, pulling out certain information, right, which is what so many of us do.

Jordan Wilson [00:29:32]:
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 OpenAI's, deep research and Google Gemini's deep research, it's silly good. But, you know, why the Google Gemini update is especially good is now we 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.

Jordan Wilson [00:30:08]:
You might say, hey, Google Gemini. I'm looking up, you know, product, or or or competitor a's product b, and it's going to look up, you you know, competitor a, product b, and it's like, oh, wait. Did you know that competitor c has product b as 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 gonna 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. Alright.

Jordan Wilson [00:30:51]:
Here we go with Anthropic Claude, their April and May updates. So the May '1, 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.

Jordan Wilson [00:31:21]:
And it the expanded research capabilities with an advanced research mode for thorough report preparation with up to forty five minutes of research time. That's nice. 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 accounts, first of all, this new interface, Claude, I don't know if it was 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 got to click like eight times, right, to to do simple things.

Jordan Wilson [00:32:12]:
Whereas before, it was, like, three clicks. Right? I know that sounds like petty for me to pick on Claude, but when they launched this new, like, you know, they're like, oh, we have a cleaner UI, better u user experience. I'm like, no. You don't. I gotta click way more, and it makes me not wanna use your experience. I'm like, no. You don't. I gotta click way more, and it makes me not wanna use your stinking tool.

Jordan Wilson [00:32:30]:
That and the fact that even on a paid plan after I use Claude for ten 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.

Jordan Wilson [00:33:22]:
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, etcetera. 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 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.

Jordan Wilson [00:34:09]:
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 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 it will just generally do, like, the the closest exact search, or just like your first couple pages of emails, but that doesn't help me.

Jordan Wilson [00:34:55]:
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 telling me all your, you you know, your your garbage, random AI. You're right. I get a hundred emails every day. Like, oh, I've you know, we have a better large language model than Chad GPT. Put us on your show.

Jordan Wilson [00:35:16]:
No. 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, livestream audience. Let me know.

Jordan Wilson [00:35:28]:
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 $200 a month just to use their basic model, like, for more than, like, ten minutes. Yeah.

Jordan Wilson [00:36:03]:
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, entropic 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 ChatGPT's two hundred dollar pro plan, the limits are insane. Right? They're they're they're so good.

Jordan Wilson [00:36:36]:
Even the limits on the normal $20 a month, ChatGPT plus plan, I find very few people are hitting those limits. But, you know, on the quad plan, apparently, you gotta pay a hundred dollars if you wanna 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.

Jordan Wilson [00:37:05]:
You could be, like, not use your hundred dollar 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 and their rate limits are absolutely bonkers. Alright. Also in April, Anthropic launched their clawed for education with a specialized learning mode that guides students through soccer, socratic 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 wanna 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 and improves critical thinking, which I think is actually great.

Jordan Wilson [00:37:52]:
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 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 you know, you can have large language models do that, but I actually like, that mode clawed for education. Alright. 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 three sixty five Copilot because it is a beautiful mess.

Jordan Wilson [00:38:26]:
Right? There's, like, Microsoft three sixty five 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 open AIs. Also in April, they debuted Copilot search on Bing. They announced memory and personalization features and Copilot pages. They introduced Copilot actions for text task task execution.

Jordan Wilson [00:39:02]:
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 upload 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 and essentially takes a screenshot of, you know, whatever is on your screen. But the good thing with Copilot Vision is it looks at the entire website. So not even just what's on your screen.

Jordan Wilson [00:39:48]:
Really cool. I'd 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 So 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. The same way, have this on my screen here for our livestream audience.

Jordan Wilson [00:40:22]:
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 $20 a month, for Copilot Pro. So, you you know, in this situation, you have, you know, like, a quick response. You have think deeper, which uses OpenAI's reasoning model, and then you have deep research, which presumably uses, OpenAI as a reasoning model as well, but then it does the deep research. So not nearly as good, as OpenAI's, deep research or Google's new deep research with 2.5 pro.

Jordan Wilson [00:41:09]:
However, it's it's still, it's still serviceable, that version of deep research. I'd say it's on par, with, you know, perplexity. GRACS is actually pretty good. The problem is is Grox 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 slash Twitter. But the deep research here from Microsoft Copilot is pretty good. Alright. Last but not least, we have some updates from Meta.

Jordan Wilson [00:41:38]:
So, Meta obviously had their, conference, their Lamicon 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, couple of weeks, actually, they announced their new models. So Llama four, the scout Llama four Scout and Llama four Maverick, which are already released, and the first open weight natively multimodie models with unprecedented context support. Yeah. I think 10,000,000 token context window, which is nutty, and the mixture of experts architecture. And, any day, week, month now will probably be seeing their large version. So scout and maverick are the small and medium versions of llama four, and then we should be seeing llamas, be he llama four behemoth, which is the large version, and then we'll separately get a reasoning model. So, thanks to, the, meta crew, that I was talking to what conference? Oh, at the, the IBM, think conference.

Jordan Wilson [00:42:49]:
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 four reasoning model will be a separate model. It won't be scout, maverick, behemoth with reasoning. It'll just be a reasoning model. It they they they might tie it to one of those, but they said at least right now that it is its own separate model. Alright. Oh, no. There's still Grok.

Jordan Wilson [00:43:15]:
So, Grok announced a couple of new things in April. So they, introduced personalized memory. So similar to, what ChatChippity rolled out in 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.

Jordan Wilson [00:43:57]:
You can have it start, with attachments. So if you use, projects, inside, ChattGPT or projects inside Claude, or kind of gems inside Google Gemini a little different, than, you know, this would be 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 I I hope that OpenAI will soon follow suit. The the the problem, the problem right now with, GPTs, right? So, you know, talking about gems, I got sidetracked here. So the problem is you still have only the GPT four o, model that you can use for GPTs.

Jordan Wilson [00:44:52]:
Luckily, they did add four o image generation, so you can create GPTs that can use the four o image generation. But, you know, the most powerful models, the o3. Right? You can't use that for, GPTs. But, inside Google Gemini gems, you can use 2.5 pro. Alright. So, and then last but not least for x slash Grok, they launched their voice assistant, with action taking capabilities. So oh, no. Sorry.

Jordan Wilson [00:45:23]:
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 at the April.

Jordan Wilson [00:45:40]:
They also upgraded their GBT powered image generation. They added, Grok three beta beta for advanced reasoning, capabilities. Or no. No. They didn't. Sorry. My my my my last slide here is confusing. All it's supposed to say is perplexity added their new, voice assistance inside the iOS app, which has a ton of potential.

Jordan Wilson [00:46:04]:
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 is not always good at that. It so it can read your calendar. It can draft emails.

Jordan Wilson [00:46:27]:
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 wanna make sure that I can inform you of the latest and greatest. So I pay for literally every single tool.

Jordan Wilson [00:47:06]:
It's way too much money to do that. And I've 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 series.

Jordan Wilson [00:47:24]:
Series 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.

Jordan Wilson [00:47:54]:
I was, suggesting some things, on the Twitting machine, and 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 that perplexity is doing here, but they gotta update it. They gotta make it better, more reliable, but, hey, might give us a reason to keep perplexity along for a little longer. Alright. That's a wrap y'all. Did you like the monthly updates? I know it was a little longer.

Jordan Wilson [00:48:31]:
There's 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. 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.

Jordan Wilson [00:49:02]:
So, hey, if you want these monthly updates, if these are gonna 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. 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.

Jordan Wilson [00:49:25]:
And we'll keep doing it. Reach out on the podcast. Thank you for listening. If you haven't already, please go to youreverydayai.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.

Jordan Wilson [00:49:39]:
Follow the show. I'd appreciate that. I'd appreciate you also tuning in tomorrow and every day for more everyday AI. Thanks, y'all.