Gemini 3 impresses, GPT-5.1 Pro rolls out, Microsoft brings 365 Agent updates and more AI News That Matters

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By far, this was the most impactful week of AI releases since December. Yeah, for more than a year, we haven't seen a week like this in AI. Google, OpenAI, Microsoft, all with huge drops. And it was wild. Wilder than a Waffle House at 2am I mean, you have now Gemini 3, the most powerful model in the world by far. OpenAI snuck a model in that could end up being even more powerful, but didn't even release a blog post about it. Microsoft now has AI agents where people, people actually work. And probably the one that's getting the most buzz isn't any of those. It's Nano Banana Pro. So much happening in the world of AI this week. Like I said, we haven't had a week like this, truly since December of 2024. So let's jump into it. Let's get straight to the AI news that matters. What's going on, y'? All? Welcome to Everyday AI. My name is Jordan Wilson and, well, we do this every day. It's your daily livestream, podcast and free daily newsletter helping everyday business leaders like you and me not just keep up with all the AI news because it's a ton, but how we can make sense of it, cut the BS and leverage it to grow our companies and our careers. So it starts here with the unedited, unscripted live stream podcast. But to take it to the next level, go to our website, your everydayai.com. sign up for the free daily newsletter. We're going to be recapping the the AI news for today. And just real quick, before we go over the AI news for the week, that's what we do on Mondays. We bring you the AI news that matters. Quick little housekeeping announcement for this week. Here in the US we have the Thanksgiving holiday. So the show and the newsletter will be off on Thursday and Friday. But Wednesday going to be a banger show you all wanted. Round two, hands on AI at work on Wednesdays with Gemini 3, so make sure to tune in for that. All right? All right, let's get into the AI news that matters for the week of November 24th. And, well, it starts with Gemini 3. So Google has officially released Gemini 3 after months of hype, its latest AI model drawing widespread attention for its performance and new features. So Gemini 3 arrives just eight months after the release of Gemini 2.5 Pro, which was already considered a leading multimodal AI model. Even though it was eight months old, it was still pretty much the best AI model in the world. Yet Google woke up and chose violence and released Gemini 3. So according to Google's benchmarks, it tops nearly every major benchmark, including the LM arena where users go and vote, as well as the more scientific benchmarks, gpqa, Diamond Math Arena, Apex, Arc, AGI and literally just about everything else. So the model is available pretty much everywhere and literally everywhere you look, it's like, oh, Gemini 3 is here. So whether you're using the app, so gemini.google.com or on the actual, you know, mobile app, it's there, it's in AI studio, it's in vertex AI, it's in Google searches. New AI mode. Yeah, day that they released it, they released it in AI mode. And then there's also new platforms as well. So it's in their new anti gravity, their kind of multi agentic IDE as well as their command line interface coder called Gemini CLI. So yeah, Gemini 3 just literally came out everywhere except Notebook LM, but I'm sure that's going to be happening soon. So a little bit more about Gemini 3 itself. It sets itself apart with best in class multimodal capabilities, its ability to handle text, images, video, audio and code. And it notably excels at video understanding even without transcripts. So I'd say out of all the new capabilities, probably one of the more impressive ones in my opinion is its ability to just create great, number one great code. But anything that code can create, you can go create video games, you can go create beautiful stunning websites. I mean it's literally insane what Gemini 3 is capable of on the coding end and on the visual end. Because with the Gemini 3 Pro model is also tied to it, the Nano Banano Pro. So we're going to be getting to that later in the show. So a little bit more about what's new inside of Gemini 3. So the new model features a million token context window allowing it to process and generate richer outputs from extensive and longer inputs from the user. There's also improved agentic research and tool used. Both of those have been enhanced enabling Gemini 3 Pro to autonomously play, plan code and execute multi step workflows with improved reliability and consistency. So Gemini 3 also brings new dynamic interactive dashboards and generative UIs. Yeah, so literally on the fly, Google might just create a dynamic view or a generative user interface for you to help you to help explain something a little bit better. And that also shows up in Google's new improved AI mode in search. So yeah, if you toggle it on and we went over that on Wednesday. So just if you haven't already, make sure you go listen to episode 657. So this was just hours after Gemini 3 came out. So we did do a pretty deep dive on Gemini 3 in 3 upgraded use cases and one of those use cases we showed the more dynamic AI mode in search. So a ton new on the Google Gemini 3 live stream audience let me know, have you been using it? Are you liking it? What questions do you have? Are you still using GPT 5.1 or Cloudsonnet 4. 5? What's your favorite model now? All right, speaking of favorite models, on the image side, there's literally no comparison anymore. That's because Google rolled out Nano Banana Pro, the image generation and editing model that lives inside of Gemini i3 Pro. And it promises and delivers, my gosh, sharper text and images, richer styles and more advanced scene in lighting control. So nanobanana Pro is the image generation and editing model tied to Gemini 3 Pro and it follows the earlier Gemini 2.5 flash image model that was announced in August. So yeah, the naming is much better. Just calling it Nano Banana. So the original Nano banana was Gemini 2.5 flash image. Now with the new Gemini 3 Pro, it is Nano Banana Pro. So stylistically, Nano Banana Pro supports a wider variety of textures, fonts and calligraphy. And it can produce flat vector style graphics and more expressive typography. You can also do just extremely creative takes. Right. Without even really using your brain. So as an example, you can do, you know, change the camera angle on an image. Maybe you got a head shot and you're like, ah, this isn't a flattering angle. Okay, well you can upload it to Nano Banana Pro, change the angle, change the focus, the scene, lighting, apply advanced color grading. So many things. Some other new capabilities. Well, it can blend up to 14 images. Geez. Right? Another quick example. I don't know if, if you're a global team and you're never able to get, you know, some of your senior leadership together, well, you could just take all your individual headshots and throw them in a Nano Banana and create a team photo and it will look literally realistic. It is hard to tell. It is scary good. Yeah, there's actually going to be, it's going to be used for a lot of bad things. I've already seen it in a very short period of time. Nano Banana has been out for like four days. Yeah, it's going to be Used for a lot of bad things because it is that good, if that makes sense. You can't tell anymore that something is AI generated with Nano Banana Pro. I even think with Nano Banana you kind of could if you paid close enough attention. Nano Banana Pro. No, it looks so, so stinking real. So it is rolling out globally. I do believe that they've rolled it out to 100 of users in the Gemini app. Also, free users get a limited quota before falling back to the original Nano Banana. So yeah, if you are, as an example, going into Google Gemini and you want to use Nano Banana there, that's probably the easiest spot to use it. You can also use it in Google's AI studio, just make sure it's not properly labeled. You do have to choose Gemini. When you go into Gemini and you click the, you can click the Create Image button or you can just click thinking with 3Pro. So if you're just chatting with Google Gemini and you want it to create an image. Yeah, some people don't know this. You don't. You don't always even have to click the image button. But make sure that you choose the model thinking with 3Pro. Because if you use the now default model that says fast, that's actually going to be using the old Nano Banana. Alright, so I did confirm that with the Google team. So just FYI. All right, 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 gen AI. 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 everydayai.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 GEni. Bring your friends, because now you can all chat together with Chat GPT. So OpenAI has now globally launched group chats for Chat GPT allowing up to 20 people to collaborate with chat GBT in a single conversation. So chatgpt group chats are now available globally after first being rolled out to a handful of countries which did not include the us. So now it's available in the US and globally. So, like I said, the group feature supports up to 20 participants and keeps group conversations separate from private chats. So personal chatgpt memories do not leak into group spaces. So, yeah, that's important, right? One of the great things about large language models like ChatGPT is their ability to remember things across chat, you know, intentionally saving little things about you as memory. So think of the scrib chats almost as like in terms of yourself and your participation. It's almost like you're in an incognito or private chat. But within that chat window, ChatGPT will remember everything that goes on in there, whether there's two participants or 20 with ChatGPT, so group creators remain protected from being removed by other members unless they voluntarily leave. So, yeah, different people, you can leave at different times. The thing that's important here, well, the AI remains mostly passive, which is really good to know because, yeah, if you have 20 people just chatting with each other, you don't obviously want ChatGPT to bought in except when it's needed. So that's the thing. ChatGPT just kind of watches the conversation and responds only when either explicitly tagged or when the context clearly calls for ChatGPT to intervene. ChatGPT can react with emojis, mention profile pictures, and even generate personalized images that include group members on request. So the underlying model is GPT 5.1 auto, which is not good, just FYI. So I wouldn't be using this for any work tasks yet. Although I do think this is Y OpenAI. I know, you know, have a few listeners there. You gotta update this, right? And hats off, because OpenAI has been taking a lot of feedback and saying that they're going to be rolling out some updates, but you have to allow for a model selector. I think this was kind of rolled out and promoted as kind of like a cutesy thing, right? The kind of demo that they did was, you know, some people chatting, trying to find a Italian restaurant. It's like, okay, cool, y'. All, we have large language models that are smarter than people. Like, we don't want to be chatting and asking for recommendations for where to go eat this. I think the great utility of this is working with your co workers. But do not do it now because the GPT5 auto, sorry, GPT5.1 auto model is not good. So hopefully OpenAI will be rolling out the ability to select the model, especially when it's passive. Right? Yeah. If it, if ChatGPT responded to every single chat in a group thread, you would want to use probably the auto or the instant because. So you don't have to wait. Right. But hopefully OpenAI takes a little bit more of a business approach to this because the potential is actually really, really high with this one if they get it right. So continue. We'll be covering this when and if they release new updates. All right, well, one of the biggest updates on the agent front this week was from Microsoft, actually two separate agent releases that we're going to be covering here. So first they launched Agent365 to manage AI agents across organizations. So this was announced at Ignite, their yearly conference from Microsoft. And it's a new service that centralizes the management access, security and visibility for AI agents across enterprise prizes. So this gives organization a single registry and management plane for AI agents, starting with tenants in the Frontier Preview who also hold at least one Microsoft 365 copilot license. So yeah, you have to be part of the Frontier Preview program and obviously have at least one Microsoft 365 copilot license. So the new Agent 365 service provides a registry as a single source of truth for all agents within the organization, helping IT teams track which agents exist, who owns them, who's using them, and where they're even allowed to be accessed. So Agent 365 offers access control that limits each agent's permissions to only the resources required for its task, reducing risk from over permissioned agents. There's also a new unified dashboard and advanced analytics that lets administrators visualize relationships between agents administrate as well as the people and data and monitor agent behavior and performance in real time. All right, next piece of AI news. Yeah, more agents from Microsoft. And these ones I think are probably going to get a little more use. Although Agent365 I think is sorely needed. Right. Because one of the biggest things holding Copilot back is permissions security. No one can access anything, right? I think more than anything it's, there's a ton of promise with Microsoft and Copilot and all their agents, but everyone's like, yo, like I spend hours trying to figure out how to get access to anything within my organization and I can't. Well, maybe now with the new launch they can because Microsoft is bringing agents to the chat. All right. The chat interface that most people use. So Microsoft rolled out dedicated Word, Excel and PowerPoint agents inside Microsoft 365 Copilot and the update makes it possible possible to create high quality documents, spreadsheets and presentations from the chat interface and then move it seamlessly into desktop apps for deeper editing. So the biggest headline here is that users can now start projects in Copilot chat using natural language chatting with these agents and have dedicated agents generate full Office files which then they can open and continue to edit inside Word, Excel or PowerPoint. So Microsoft says the agent use multi step reasoning models and an agentic harness to plan, draft and validate and refine outputs across stages producing structured results rather than just one shot text. So files are created by headless real Office applications rather than just stitched together with xml, which Microsoft argues preserves styles, themes, formulas and safety controls such as blocking macros and external links. There's also enterprise grounding that's available which is extremely important through Microsoft Graph and Work iq. So agents can securely pull organizational context such as emails and share docs with permission checks and transparent citations to improve relevance. So PowerPoint the PowerPoint agent and agent mode which we covered a couple of weeks, a couple of months ago actually now wow. In the apps also let Copilot make direct edits and app specific changes. So Microsoft highlights agent mode in PowerPoint as new to the Frontier program. Yeah. So finally this is a capability I think that has users have been wanting. So many people just use Copilot inside of Copilot chat because. Well, one of the reasons it's well, you're in teams, you know, and people like and are most familiar with using AI products or large language models in the chat interface. Right. Like you're going to gemini.google.com or chatgpt.com or claw AI. Right. So front end AI usage. So smart move from Microsoft bringing agents to the chat. But now we'll see if permissions are going to ever be figured out or if you're still going to have millions of users just looking at all these Copilot announcements and being like, oh this is cool, but we're never going to get access even though we pay for Microsoft 365 copilot all right, our next piece of AI news. Interesting one. Didn't see this one coming. The EU has moved to kind of distance itself from its previous strict AI rules. So the European Commission unveiled a new digital omnibus, which is a package of proposals to simplify the much more strict AI act. So aiming to reduce regulatory friction and speed Innovation of AI in the European Union. So the single biggest change, according to reports, is enforcement. Timelines for stricter AI controls in sensitive high risk areas are proposed to move from August 2026. So yeah, this was supposed to be around the corner. Instead they're going to be potentially kicking it back more than a year from that to December 2027. And this would affect biometric ID, utilities, health credit scoring and law enforcement uses. So the commission wants clearer rules on when data stops being personal, a shift that would make it easier for companies to treat anonymized or de identified EU data as usable for AI training. Yeah, this is one of those reasons a lot of times, right? I think you saw it a lot with ChatGPT when they had more personalized. Right. I remember with advanced voice mode, it couldn't be released in Europe for many months and they still had to strip away features. The same things with a lot of Microsoft products, Google products, et cetera. The more and more personalized AI becomes actually the more difficult or the harder it is to actually use that in the European Union because of the AI act that was passed last year. But like we just said here, with the new digital omnibus, some of these things could get kicked more than 13 months. So a lot of, you know, kind of AI implementations or, you know, new products were kind of dead on arrival in the eu, but maybe that could change with this easing of the restriction. So if adopted, the changes would explicitly enable companies such as Google Meta and OpenAI to use more Europeans personal data for training AI models, a move obviously welcomed by big tech companies and industrial firms, but condemned by privacy advocates. So privacy groups and 127 civil organizations have called the package the quote, unquote, the biggest rollback of digital fundamental rights in EU history, arguing it weakens protections and hands more intimate data to major tech companies. So I've been saying this for multiple years now, ever since the EU's AI act was just an idea, right? It's obviously been passed in parts of it have been enacted and you know, some of the bigger pieces were right around the corner. I said this all along. I said essentially, EU has two options. They are either going to fall so far behind the rest of the world, specifically the US and China, or they're going to eventually realize that the EU act was the EU AI act was probably a little too strict and they would have to start rolling it back kind of peel by peel. So here we see the latter. The European Union is seemingly admitting, yeah, maybe we were a little too robust with the AI act and so we'll see what happens in the coming months. Next piece of AI news. Geez, this one probably hit OpenAI in the gut. So Microsoft and Nvidia, two bigger partners of OpenAI, announced a joint investment in Anthropic. So Microsoft and Nvidia announced major investments in Anthropic, a move that reduces Microsoft's sole dependence on OpenAI and also widens industry competition. So Microsoft will invest up to 5 billion in anthropic and Nvidia will invest up to 10 billion. So the new investments push Anthropic's valuation to about $350 billion, up from roughly 183 billion in September. So yeah, not quite doubling their valuation, but nearly doubling their valuation in a two month period. Right, and getting up to roughly about the last valuation that we saw for OpenAI. So Anthropic has also committed to buying 30 billion dol of Azure compute capacity from Microsoft and has contracted additional compute up to a gigawatt, the company said in a blog post. So yeah, this is, this is only going to fuel more of the AI bubble talk in circular funding. So you know, obviously Anthropic got a check, right? I don't know. I know they don't get checks but we should still go old school, right? They should, you know, give, give Dario, you know, $5 billion giant check. But what would happen is, well, Dario would have to, you know, write a big billion, multi billion dollar check back to Microsoft for the Azure compute capacity. So yeah, this is if, if nothing else, this is just going to set off more of the alarms. The vendor financing or circular funding talks that have been really rattling the US economy and the stock market over the last couple of months following OpenAI kind of coming with a lot of these similar deals even with Nvidia. So Nvidia and Anthropic will collaborate on engineering and model optimization to improve performance and efficiency and to tune Nvidia architectures for Anthropics workload. So this one is I think probably most interesting to look at Microsoft's position here because Microsoft already holds a sizable stake in OpenAI valued at about 135 billion or roughly 27% as an converted diluted basis. So essentially right now Microsoft is the single biggest, or sorry, the single, the single largest individual shareholder in or equity holder in OpenAI. Yeah, no one else has more than 26% except Microsoft, which holds 27% of the new for profit corporation that OpenAI finalized earlier this fall. So here's, here's my take on this. Not a good week Overall for open AI, right? So not only does Google release Gemini 3, which is extremely powerful, and a lot of the chatter online are now saying like, hey, Gemini 3 seems like a daily driver model, right? A lot of companies, even Salesforce's CEO said, hey, I've been using chat GBT daily for two years. I just went into Gemini and wow, I'm switching. I think a lot of, you know, we're seeing a lot of those stories anecdotally. We'll see if it moves the numbers, if Anyone can catch OpenAI's reported 800 million weekly active users. But overall this is another news story not very good for OpenAI because you have open in OpenAI, two of their bigger partners in Microsoft and Nvidia signing on to, well, fund their biggest, probably one of their two biggest competitors. I'd say they're competing in a lot of different ways with Google, but specifically on the model side with Anthropic. But it wasn't all bad news for OpenAI. All right, our next AI news story. Aside from OpenAI releasing the group chats, there was another big story that interestingly, OpenAI didn't even really promote this, which was funny to me. So OpenAI rolled out technically their most powerful model to date, called GPT5.1 Pro. Right now it's only released to subscribers on the Pro tier, the $200 a month subscription and it has some new reasoning capabilities as well. Also, it is going to replace the GPT5 Pro model as the default Pro model over the next 90 days, at least according to OpenAI's release notes. So yeah, OpenAI didn't even put out a blog post on GPT5.1 Pro which I found interesting. So the rollout is significant though, because GPT 5.1 Pro introduces a new adaptive reasoning which lets the model decide when to spend more computational time on a prompt, giving simple queries faster replies and complex tasks deeper, more accurate reasoning. So essentially it reasons about reasoning or it thinks about how much it should think. So OpenAI highlights improved performance in writing assistance, data science and business tasks with the company in early reports, noting better consistency, instruction following and reduced hallucination compared with with GPT5. So the company has not yet published well really anything but especially nothing on the technical spec side for GPT51 Pro. But the public notes emphasize better clarity, relevance and response structure. So I'll tell you this, I can speak a lot personally because I am always using the Pro model and I'm on the the Pro plan as well. I've been using GPT51 Pro. I haven't been able it a ton just because like we said, it's been literally a wild week in AI. But it is extremely impressive. And I'll say this, I would not be surprised when and if GPT51Pro gets benchmarked because it hasn't been benchmarked yet because they haven't released API access. You can only access it on the Pro model. I would assume it's going to on most benchmarks, it's going to be up there with Gemini 3 or it maybe even might leapfrog Gemini 3. The pro versions of OpenAI's models are ridiculously good. Another thing to keep in mind, y'. All, you really should be using these models. Well, if you really want to understand the capabilities, you should be using them either on the API side or on at least on the playground side, right? Because as an example, Gemini 3 is way better, way better inside of AI studio than it is inside of Gemini the app, right? Technically, Gemini 3 is wrapped in the model is wrapped inside the Gemini app. It is much more powerful in AI Studio. I'm using AI Studio anytime. I'm just working with text only. For me personally, I'm always an AI Studio. If I want Nano Banana or Canvas, right? Then I'm probably using the Gemini app or you know, Gemini 3 in the Gemini app. But GPT5.1 Pro, it is so good, right? We shared in our newsletter there's been some, apparently some math problems that were solved that couldn't have been solved before. Some new, some, some new theories that were validated by scientists that had had never technically existed before. So this model is really, really good. But this isn't a model. You're going to be like, yo, like I don't know, here's a spreadsheet, tell me something good, right? Which is a lot of times my use cases, but just the agentic capabilities and the ability for GPT 5.1 Pro to think about thinking and again, the difference between 5 in 5 Pro night and day, right? The 5.1 thinking models are really good. I enjoy them. Aside from the obnoxiously annoying tone and responses that are baked into 5.1, I know you can, you know, custom instruction them out. It's just really, really responses are annoying. Aside from that, the 5.1 thinking models are really good and the 5.1 Pro model is great. Again for me, I don't even really, I think have the type of use cases that I can even say, hey, here's a great example of 5.1 Pro. Aside from just showing off some agentic capabilities, the ability to work on very complex tasks, do reasoning, do research, you know, pull multiple, you know, tool calls together, etc. But GPT 5.1 Pro, a model to keep an eye out on, especially when and if it's released in the API and gets benchmarked. Last but not least, you, you. You all know I saved the best for last. I'm telling you what's gotten the most Talk. It's not ChatGPT group chats. It's not GPT 5.1, which again OpenAI didn't even put out a blog post. It's not even Gemini 3. The most talked about thing in AI this week by far is Nano Banana Pro. All right, and let me first before I get give you all the newsy details here, let me tell you this. Stop. Like I've seen so many comments even, you know, people. I put out a poll in our newsletter last week asking people what they wanted to know about, you know, people said, you know, I don't care about Nano Banana Pro, right? My company doesn't do visuals or I'm not a graphic designer. You guys. Nano Banana Pro is mind bogglingly good, right? Even if you aren't maybe publicizing something, the use cases are tremendous. They have me speechless. They are that good, especially when you pair them with Notebook lm. All right, so that is our final news story. Kind of the combination here of nanobanana Pro and Notebook lm. The two of them together. My brain. My gosh. So Google's Notebook LM now integrates the nanobananapro image model to generate infographics and slide decks directly from whatever notes that you have inside of NotebookLM. So NotebookLM is officially using the more powerful Nanobanana Pro to produce infographics and slide decks that aim to render accurate, grounded information and readable text inside images, improving the notebook to presentation workflow. So you can now design complex publication ready visuals without leaving the Notebook LM interface, turning your research notes or whatever you load into NotebookLM into polished arguments with minimal manual layout work. Nanobananapro also keeps character consistency and coherence across wildly different styles. The infographic feature is absolutely. Oh gosh, I was trying not to say absolutely bananas. It's just absolutely jaw droppingly good. The infographics are great, much, much better than what we saw out of Nano Banana Normal. And one of the biggest I think jumps here is just the text consistency, right? For some of my testing I just would throw entire podcast transcripts and say create an infographic, create a whiteboard visualization, right? Create, you know, a series of, you know, six, you know, breakaway points and visualize them. The text. I haven't gotten a single piece of text wrong yet, which with Nano Banana, the original, I would say I don't know, 20 to 30% of the text, maybe not that high, maybe 10% of the text wasn't even usable. Right. Nano Banana Pro is amazingly accurate when it comes to using your text. Right. So now that makes these new features inside NotebookLM specifically infographic production and slide deck creation. My gosh. Right. We already saw this out of Gemini and we covered that about two weeks ago. So Gemini released a new slide feature. So I'm going to be retesting that, you know, and seeing if that has improved at all and if it has the Nano Banana features in it. But you can now create these slide decks inside Notebook LM using Nano Banana and they are extremely, extremely well done. Right. And it's, it's not all, you know, cutesy, artsy. No, I'm talking like very professional looking, something like, oh, I paid a consultancy to put all this information together. That's what they look like. All right, so enough of me gushing on Nano Banana inside of Notebook LM just know it's there. It's good. So some more details. Infographic outputs are suitable for really anything. But using them for your featured images in your blog, YouTube thumbnails. Quick visual summaries that reduce manual design work for creators and communicators. Also, slide generation creates multi page slide decks that right now you can only export as PDF. Unfortunately you can't export them as you know, for Canva or PowerPoint slides yet. But it does have the ability to export as a PDF and you can also have presenter slides in there as well. So both features are intended to streamline workflows by replacing part of the repetitive slide and graphic design tasks normally handled by humans. Well, with AI and Nano Banana Pro. All right, that was a ton. Like I said, a wild week in AI. But that's not all. Here's our quick bullet points of what's new and what's next. And y', all, in previous weeks, a lot of these stories might have been the biggest story of the week. But not this week. All right, ready? So OpenAI and Foxconn announced an AI partnership. So the Apple hardware supplier. That one will be interesting to watch. The new Gemini 3 agent launch with advanced reasoning and Gmail calendar web access. I can't wait to try that. That's Only available right now for Ultra subscribers. Unfortunately a report from the Information showed that Sam Altman told staff that that Google's AI surge is a headwind, not a knockout. But reportedly it was enough that OpenAI and Sam Altman had to address. Yeah, Google is really good. Nano Banana Pro. Yeah, more Nano Banana Pro updates here. It's available everywhere. It is now live in flow for AI Ultra users. It's also been added to nanobanana Pro has been added to Google searches AI mode and it's also here's a big one integrated into Google Ads. My gosh, it's everywhere. All right, speaking of other releases, well, XAI released Grok 4.1. Perplexity launched some new updates to their Comet browser mainly by making it available for Android. So the mobile version po, which we don't talk about a lot on this show but thought it's worth noting that they introduced Group Chat as well with real time history syncing. Google has reportedly been testing ads in the AI search. So in the AI mode, Perplexity is reportedly building a meetings hub which combines all your call notes, schedules and summaries. Google rolled out their Gemini agent, like I said for Ultra subscribers. Had that on there twice, maybe to remind myself that I should review it. AI legend Yann LeCun from Meta is reportedly leaving Meta for a new startup. One of the godfathers of AI cloudflare acquired Replicate, merging the biggest AI model catalog with their global network. Warner struck a deal with the AI music company Udio. Speaking of AI music, Suno raised $250 million at a $2.4 billion valuation. Former board member Larry Summers quit the OpenAI board amid scrutiny over the Epstein Jeffrey Epstein email revelations. Perplexity partnered with the federal government to provide Enterprise Pro access for free. And then Google released Anti Gravity, their multi agent ide. My gosh, a ton happening in the world of AI news. All right, I hope this is helpful. Like I said, we do this almost every single Monday. Go over all of the most important AI news, try to give you no bs, no marketing, no fluff, no spin. Just tell you, here's what's new, here's what it means, and here's where you should be focused on. All right, I hope this was helpful. If so, tell someone about it, all right? Don't let this be your little secret. The only thing this everyday AI thing lives on, right, Making AI understandable for non technical business leaders like you and me is if you tell someone about it. So please, if you're listening on LinkedIn. Still listening. Thanks make sure to repost this. If you're on the podcast, please make sure to subscribe to the show. Leave us a rating. That would be great. Again Wednesday, we're going hands on AI at work on Wednesdays with Gemini 3. And then because of the holiday Thanksgiving holiday here in the US There will be no show or no newsletter on Thursday or Friday. So thank you for tuning in. Hope to see you back 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@youreverydayai.com and sign up to our daily newsletter so you don't get left behind. Go break some barriers and we'll see you next time.