Ep 744: Leaks show insights on OpenAI and Anthropic’s next models, Claude Computer Use goes viral 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.

I think right now the best AI model in the world, if you have the budget and you have the patience, is GPT-5 Pro from OpenAI. Which seems like it was released months ago. Crazy enough, it was announced this month, yet we already have new AI news that OpenAI is working on a newer model codenamed Spud, and it could be right around the corner. And OpenAI must think it's pretty good as they say it'll reshape the economy and they're doubling headcount to prepare for it. And Well, they're not alone, as their biggest AI competitor, Anthropic, well, recent leaks show that they're also cooking up a new model that could arrive soon. And apparently it's so powerful, the company is concerned about its capabilities. Yeah, so this week was a heavyweight week for both the big AI companies. A ton of AI news, leaks, and updates, and we've got it all. Oh, and if you stick around toward the well, the end of the livestream version of our show, you'll actually be the first in the world to hear of a new AI update from one of the big four that we'll break to you live that, well, we think it's actually really good. All right, I'm excited to get to you the most important AI news of the week. I hope you are too. Let's dive into it. If you're new here, welcome. What's going on? My name is Jordan Wilson. This is Everyday AI. It's a daily livestream podcast and free daily newsletter helping everyday business leaders like you and me keep up with the nonstop avalanche of AI updates because they are literally every single day. I tell you what's important, what's not. You take that information to be the smartest person in AI to grow your company and your career. So it starts here with the unedited, unscripted livestream podcast. But to take it to the next level, make sure you go to our website at youreverydayai.com. Each day we recap the livestream in the newsletter so you can quickly catch up and we give you all of the other important AI feature updates and everything else that you need to know to stay ahead. So without further ado, let's get straight into it and give you the AI news that matters for the week of March 30th. Well, the first one, it's a short name for a apparently really big model. So OpenAI, their new model nicknamed Spud, well, could be dropping any week or any month now. So according to reports, OpenAI has completed development of a new AI model codenamed Spud, capability the company says could significantly boost productivity and help refocus its own internal strategy toward focusing more on enterprise tools and integrated products. This update comes as OpenAI has shelved a bunch of, well, kind of popular products such as Sora, and they've delayed some of their other efforts as well to concentrate on their core business. And, well, at least it looks like for the future, that may be whatever this new codenamed Spud model is actually called, right? Whether that's a GPT-5.5, a GPT-6, we're not sure. But according to the information, OpenAI recently finished pre-training work on Spud and plans to reveal it within weeks with a CEO, the CEO, OpenAI CEO Sam Altman reportedly saying the model can really accelerate the economy, a claim that signals a push for broad commercial impact. Spud is expected to support OpenAI's plan to build a productivity super app by combining ChatGPT, Codex, and the company's browser called Atlas, potentially making multi-tool workflows faster and more tightly integrated. So while specific technical details about SPUDD's architecture or capabilities were not disclosed in the report. The emphasis from leadership suggests improvements in productivity, multimodal understanding, or more advanced reasoning and tool use. The timing of SPUDD's completion aligns with OpenAI's decision to redeploy resources away from consumer experiments like Sora and their adult mode, which they've delayed, and toward enterprise and robotics, implying SPUDD will be a cornerstone of that strategic shift. So pretty big news here from OpenAI. Yeah, I was like looking at the calendar and I'm like, wait, what has it been like 2 months since GPT-5.4? And I'm like, no, we're still in March and GPT-5.4 was released in March. So the pace of development, obviously, if you've been following AI for more than a couple of months, is straight up blistering here, right? And I think maybe one of the reasons we've seen this is continued pressure and great models and improved productivity gains, specifically, I think, from Anthropic, where I think they've been winning 2026 so far, at least when it comes to shipping products to consumer. And then obviously from Google as well. All right, speaking of things from Anthropic, that's our next piece of AI news. And this one was big. Well, it was at least extremely viral. We'll see how big it ends up being. But I think this is something, it could kind of shape the next agentical layer. So Anthropic has rolled out a research preview feature that lets its chatbot Claude actively use a Mac to perform tasks for users, making a step toward more autonomous agent-style AI that can operate apps, type, click and use connectors for services like Google Calendar and Slack. So the new feature is in a limited research preview and it's right now only available to paid Cloud users. So if you're on the Pro or the Max plan and it is restricted to computers running macOS, making it immediately relevant only to, yeah, if you're a paid user on Apple. So here's what it is and well, why it's pretty cool. It can perform real-world actions on your computer, right? So a lot of these capabilities were previously available kind of in Claude Cowork and Claude Code. But here's what's new. Well, Claude can now perform real-world actions on your computer. It can open files, use your browser and developer tools in the browser. It can type and move the cursor and even choose connected apps that it has. Access to inside Claude or manually control to complete tasks such as transferring files to your phone or batch resizing photos. Anthropic says Claude will always ask for permission before acting and allows users to stop the agent at any time, aiming to balance convenience with user control. Also, the company implemented automated safeguards to scan for prompt injections and other common attacks against agents, and it disables some apps by default. But it warns the feature is new, it may contain errors, and it should be used with highly— it should not be used with highly sensitive data. So I don't know, livestream audience, podcast people, let me know in a comment. Have you used this yet? I've used it. I think it's extremely impressive. We may go give this the, the total hands-on treatment on Wednesday. So yeah, if you are new to the show, on Mondays we go over the AI news, on Wednesdays we go pretty deep. Hands-on demo with one tool. And then on Fridays, we kind of do a recap style of new features. And Tuesday, Thursday, you know, we rotate different shows in there, but we may go super in-depth with this one on Wednesday. My quick take on this is it's buggy. Obviously, it's the first of its kind, but it's extremely impressive. And I do think it represents the— not the final layer, right? But it represents the next layer of agentic work. you know, I think until, some of the protocols improve, you know, the, the A, the A to A agent to agent protocol, MCPs, right? All of these other things. I think there's still, even with all of these, you know, protocols that essentially help AI agents talk to other AI agents and to help large language models talk to other large language models, even until these things improve, I still think the next layer is, well, it's agents using your actual computer. And this is a very, you know, open call style, update here, right? But this is different. This isn't just being able to save files, upload files, access your local directory. Yes, that has already been available in Cloud Code Work and in Cloud Code. This is actually controlling your entire computer. So I've liked it so far. Like I says, when, like I said, when it works great. Doesn't always work, but being able to open different documents on your computer, being, having Claude, the desktop app, control, open, use other apps on your computer. That's kind of the new capability here, right? You know, some of my testing, I'm having, you know, Claude open Perplexity's Comet browser, open OpenAI's Atlas browser, right? Use different browsers, use different desktop programs that normally might not be able to talk to or access other AI. So pretty big one. If you think we should give this the Wednesday deep dive treatment, just say computer use in a comment there. So I know if we want this. So it was crazy viral though. So when OpenAI, or sorry, when Anthropic released this on Twitter, I think the release video got like 75 million views almost instantly. So pretty big. All right, next piece of AI news. This might seem like a smaller one, but I actually decided to highlight this as one of our main AI news stories for the week. Although there's probably even bigger AI news stories from OpenAI, but I think this one is actually really important. That's because, well, plugins are back, right? If you've been a longtime listener of this show, you know I was very, very bullish on plugins early on inside ChatGPT. Super bummed that OpenAI actually disabled them, you know, discontinued support eventually. You know, it led to GPTs and apps and other things, but Now OpenAI has quietly updated its Codex program to let developers create custom plugins and let general users use them. So OpenAI has introduced plugin support for Codex, allowing developers to add custom skills and external integrations to their coding assistant. So the most newsworthy detail here is that plugins can include prepackaged scripts, which are skills, plus configuration files so Codex can run tested code snippets and instead of just generating code from scratch each time, which that obviously reduces the hallucination risk and cuts inference costs and response time as well. So plugins can connect Codex to external services through MCP servers, and developers can upload MCP configuration files to control sandbox middleware and environment behavior. So OpenAI also with this launched a plugin directory with more than a dozen prebuilt integrations, including plugins that let Codex edit Google Drive files, and review GitHub repo changes. So this follows a similar capability launched by Anthropic for Claude Code a couple months ago, their kind of plugin ecosystem. And Anthropic already supports subagents, and Codex just rolled those out as well. So OpenAI says plugins are designed to help software teams keep development tools and configurations synchronized across multiple engineers' OpenAI accounts, reducing code inconsistencies on collaborative projects. Here's why I think this is super important. Number 1, everyone, including OpenAI, is straight up sleeping on Codex, right? I do think maybe this is one of the reasons that OpenAI is shifting away from having Codex as its own dedicated app and moving forward with the super app where it kind of rolls Codex, ChatGPT, and the Atlas browser all into one. That's because Codex is a freaking beast. Yes, it is better. I don't care what anyone says. I use these tools more than 99.9% of the population, right? Codex right now with GPT-5.4 extra high is better than Claude Code with Opus 4.6, better than Claude Cowork with Opus 4.6. It is just better. You know, if you want something that looks nice and done quickly, You can use Claude Code, Claude Cowork. If you want something done the right way, uh, and you have the time, I think Codex is by far better. Yeah, it creates ugly front ends, we get it, but it just gets the code right. But here's the thing, even if you are not using it to code, it is amazing at just doing everyday, uh, knowledge work tasks, right? So in the same way that I think that, uh, Anthropic kind of, uh, not maybe pivoted, but kind of remarketed Claude Code essentially as Claude Cowork, right? Because they realized that it's great for even non-coders. I think that's what we're going to see with OpenAI in this new super app, because maybe they're slowly starting to realize that Codex is actually really good for people that are not running software, not software development teams. Yes, it's good for those people, obviously, but it's good for everyday knowledge work. And I think plugins combined with the, uh, kind of the news of the upcoming super app is really significant of that. And it's showing that I think the average knowledge worker is going to be using the Codex platform a lot. Whatever that looks like in the new super app, I mean, that remains to be seen. But what this means to you, if you have not used Codex yet, start using it now, right? Uh, these plugins I think do make it easier, uh, and you can probably find some great use cases, right? Even one of the plugins I just mentioned there. Google Drive, right? Being able to edit Google Drive files, that's pretty big, right? That's pretty big. That's a, you know, a big shortcoming. A lot of the, you know, front-end AI connectors not being able to actually edit files. All right. Our next piece of AI news. Well, Apple, right? We're getting all the big companies here. So Apple may actually get AI that works. We'll see. They've been saying that for years. It's like the boy that cried wolf. We'll see if we believe them this year. But maybe it will happen because according to Bloomberg, Apple will soon let third-party AI chatbots such as Google's Gemini and Anthropic's Claude integrate with Siri starting in iOS 27. That means iPhone users can route unanswered Siri queries to their preferred chatbot app. So also Apple announced that at their upcoming WWDC keynote, they're going to have a lot more of an AI focus and third-party integrations that will work with iOS. So essentially it seems like Apple saying like, yeah, we've spent billions of dollars in 3 or 4 years and we can't get it right. So essentially we're going to open up the generally extremely restricted Apple ecosystem and allow users to integrate with other AI chatbots, right? So if you've been like me and you're using your iPhone and you're like, this thing is, you know, a very expensive dumb phone and there's no AI that works in it, it's kind of my thought, right? Siri doesn't work. It doesn't do anything. You know, yeah, they have these, oh, these write tools there. They're useless, right? So maybe now we can all finally get AI that actually works on our devices. So according to reports, users will choose which services Siri can access through the new extensions settings in iOS 27, iPadOS 27, and macOS 27, found in the Apple Intelligence and Siri panel of Settings. So that the change ends the practical exclusivity of Apple's prior OpenAI tie-up, right? So they've had this feature not very well integrated, I would say, right, where essentially Siri can just kick things over to ChatGPT, but OpenAI's ChatGPT will still remain supported but will no longer be the only external bot that Siri can call. Apple also is still planning a major Siri overhaul, which we've been hearing about for years, and will ship its own Siri chatbot built on the Google Gemini models, which we've talked about pretty extensively on that show, on this show, while extensions give users the option to direct requests to other chatbots instead of just Siri. So Bloomberg reports that Apple will announce these new features and the new updated Siri that can talk to other chatbots at their WWDC keynote this summer in June, with the feature arriving in iOS 27. All right, we'll see if that actually happens, right? Apple, right? It's kind of funny because 2 years ago, right? Apple was like, oh, Apple Intelligence, you know, we are AI and it's going to be the best AI ever. And then they got sued because they didn't release anything that actually worked. There was nothing actually intelligent that Apple released. And then they kind of quote unquote took a year off, you know, from their big WWDC. That's the Worldwide Developer Conference, right? That's their one big time of year where they come out with all their announcements. So You know, 2 years ago they were like, oh yeah, we are Apple Intelligence. We are the smartest AI in the world. They got sued because they couldn't deliver. So then they quote unquote took a year off from AI. They didn't really, you know, announce anything of substance at last year's WWDC. And now apparently this year they're back to being the Apple Intelligence. So hopefully they've learned their lesson and they won't lean into trying to redefine the actual AI category. Probably not a good idea. Especially if all they're ultimately doing here is allowing users to use better and smarter AI. So it should actually be pretty telling, uh, how they approach this from a branding angle. But I do think, however, the markets, right, if you care about that, I think the markets will actually like this move from Apple because they're like, yeah, Apple, we understand you can't build AI, so you should probably start integrating with as many third-party AI chatbots as possible. All right. Our next piece of AI news. Well, this one is the ongoing— AI moves too fast to follow, but you're expected to keep up. Otherwise, your career or company might lag behind while AI-native competitors leap ahead. But you don't have 10 hours a day to understand it all. That's what I do for you. But after 700+ episodes of Everyday AI, the most common questions I get is, where do I start? That's why we created the Start Here series, an ongoing podcast series of more than a dozen episodes you can listen to in order. It covers the AI basics for beginners and sharpens the skills of AI champions pushing their companies forward. In the ongoing series, we explain complex trends in simple language that you can turn into action. There's 3 ways to jump in. Number 1, go scroll back to the first one in episode 691. Number 2, tap the link in your show notes at any time for the Start Here series, or you can just go to starthereseries.com, which also gives you free access to our inner circle community where you can connect with other business leaders doing the same. The Start Here series will slow down the pace of AI so you can get ahead. Drama, and it's not over, but we have a new chapter in the novella. So a federal judge has temporarily stopped the Pentagon and other federal agencies from enforcing directives that would have immediately halted the government's use of Anthropic's AI tools, keeping the company's widely used Claude system available while a broader legal fight plays out. So a US district judge in California issued an order late last week preventing the enforcement directives from President Trump and Defense Secretary Pete Hegseth that sought to bar Anthropic's tools from government use for now. All right. So essentially, the federal government labeled Anthropic a supply chain risk for a couple of reasons, which we'll get to here in a minute. But essentially, a judge said, nope, doesn't make sense. Right. So the order now lets Anthropic's AI continue to be used inside the government for now and by outside contractors working with the military while the lawsuit proceeds. So the judge wrote that the government actions looked aimed at, quote unquote, crippling Anthropic and a chilling public debate. And the judge characterized statements by officials as appearing to be classic First Amendment retaliation. So the dispute began after public criticism from President Trump and Hegseth, who labeled Anthropic a supply chain risk and the first public use of that designation against a US company ever in a label typically reserved for companies tied to adversary nations. So, yeah, it was very strange that the federal government decided to label Anthropic a supply chain risk because that's never literally happened against a US company. Then Anthropic, in response, sued the Department of Defense and other agencies earlier this month, saying the government's designation and public attacks harmed its business and violated its free speech rights. So the judge noted that officials' public comments attacking Anthropic were more on political grounds. For example, they called the company woke and its employee— Anthropic's employees, quote unquote, left-wing nutjobs, rather than pointing to specific security defects. Right. So this drama is not yet over. Right. Anthropic, essentially, you know, they had two little clauses that they wanted to have in their agreement with the government for reasons they said that would ultimately give them more protection over how the military would not use its AI. As an example, they said they didn't want the government to use its Claude systems for fully autonomous weapons in war without human oversight. Right. So we'll see how this continues to go on. But it is, again, one of those stories that is going to continue to drag on. But the latest one here, pretty big update. A judge essentially saying, no, government, you were wrong, you can't do this. And this was political and there's really not a lot of merit. So yeah, it will continue to be legislated. All right. Our next piece of AI news, a little technical one here, but it actually had pretty big ramifications both instantly and in the long run. So Google researchers have introduced a new methodology called TurboQuant, a two-stage vector compression method that reduces transformer key-value cache memory by about 6 times while preserving downstream accuracy on tested workloads. So the most newsworthy part here is that TurboQuant lets models quantize key-value caches down to 3 bits without retraining, which could sharply improve lower memory requirements for large language models. So the system requires no model retraining, which that's huge, making it potentially compatible with existing open models and easier to adopt in current production stacks. So here's in a simple way, right? This is technical. I had to read this, this one a couple of times because, you know, as much as I talk about AI, I am not super technical on the pre-training side. So it's kind of like a super shredder, right, for an AI's memory. So when you chat with an AI, it has to store a lot of data to remember what you just said. And usually that takes up a ton of, well, expensive memory. And TurboQuant from Google, so essentially a new quantized technique, right, it just kind of squishes the data. So it shrinks the memory to about 1/6 of that size without losing any of the information. And by doing that, it obviously speeds things up because the data that it has to remember, right, about your conversations is smaller. The AI can quote unquote read it up to 8 times faster. And the impressive thing here is, well, this new technology or technique can apparently be applied to any new model. So it doesn't have to be only new models that haven't been developed yet. So there's no extra work. So you don't have to retrain the AI. So this can be applied to open models. So as an example, it can work instantly on models, maybe like Google's open source Gemma. So also, interestingly enough, so this happened late last week and it instantly triggered a pretty sharp but probably temporary sell-off on the stock market of, you know, memory chip stocks. So pretty big deal here. We'll see what Google does with this technology, how it may be used across the spectrum. But this could ultimately, right, bring way more powerful models to way smaller devices, right? So as an example, as of recently, there's been this big, you know, OpenClaw and OpenClaw-esque kind of surge, right? And a lot of people are buying very expensive, you know, $10,000 Mac Studios or Nvidia DGXs to run the most powerful local models that they can so they don't have to pay for cloud inference, right? They don't have to rack up API bills with Anthropic, Google, or OpenAI. But the problem is, well, you have to have a huge, very expensive computer to run these models. Well, maybe you might be able to get a 6 times more powerful model on the same size or just have a much smaller computer or a you know, not as powerful GPU to be able to bring all of these things. So pretty, pretty exciting news for the future of AI development where we just might have way better local models available on phones and computers in the future if TurboQuant ends up being what it could be, which is a game changer for how large language models work. All right, here's Well, our pretty big, biggest story of the week, although we are going to be able to break some news here in about 5 minutes from one of the big companies. So a major leak at Anthropic has exposed nearly 3,000 internal files. And, well, probably 99.9% of them weren't very important, except there was a new unpublished draft about a new powerful model from Anthropic called Claude Mythos. I think that's how it's pronounced, right? And details of an even larger tier named Capybara. So Anthropic did confirm the reporting to Fortune that an accidental data leak exposed nearly 3,000 assets uploaded to its content management system on its website, but marked as private, making them publicly accessible in a data lake. So the leaked collection included unused marketing assets, PDFs, images, all that stuff. Also employee and corporate event information. But the big thing was a draft blog post about a new AI model labeled Claude Mythos. So according to the leaked draft, Mythos is by far the most powerful AI model that Anthropic has ever developed, and the company calls its performance a step change. The model is in trials right now with selected early access customers. So the documents revealed a planned new top tier as well right now, codenamed Capybara, I think that's how it's pronounced, which would sit above Anthropic's current highest tier, which is Opus, making Capybara the company's largest and most capable offering. So Anthropic's leaked materials warns that Claude Mythos and Capybara could significantly increase cybersecurity cybersecurity risks, saying the models are currently far ahead of any other AI model in cyber capabilities. The leaked draft states Anthropic intends to study and share findings about near-term cyber risks so defenders can prepare, and it is giving early access to organizations to give them time to harden their codebases against potential AI-driven exploits. But I think the potentially bigger news here might ultimately be this new models access, because, uh, reports point to a very limited early access rollout with select customers only. And those leaked materials described access expanding gradually through the Cloud API rather than broad availability in a standard paid plan. So Yeah, this might be the first, well, major model we've seen from any company that might not be available to regularly paying business users, right? So if you have a, you know, Claude, you know, paid plan where you're paying monthly and you expect, oh, well, I'm going to have always the, you know, most powerful models from Anthropic. Well, maybe not, or maybe not right away. Which I think is actually a, a pretty big pivot, uh, overall with how these companies work, right? We've seen reports that OpenAI and Anthropic are likely both going public this year, and this could be a new, uh, kind of tactics to bring in more revenue, maybe, uh, right before an IPO. We'll see. But again, reports are saying that this might, even if you're a $200, you know, like myself, you know, paying $200 a month, for Cloud Max, you might not get access, uh, to the new Cloud Mythos, uh, whenever it's released. All right, speaking of release, well, we're safe now. Uh, the embargo has lifted and we can talk about new updates from Microsoft. So yes, if you are listening here on the live stream, you are the first in the world to hear about this. So Microsoft is now just introducing that Copilot Cowork is available through its Frontier program. And there's some new, which I think are really, really good updates that they're rolling out to Researcher. All right. But first, Copilot Cowork. All right. So we know that Microsoft Copilot Cowork isn't new. They announced this a couple of weeks ago, but this is now pretty big news because they're making it available via the Frontier program. So that's when a lot of companies are now going to get access to it. Also, they're introducing a Microsoft 365 Copilot feature designed for long-running, multi-step work instead of just the one-off chat prompts. So that's with, you know, Cowork. You know, this is a kind of partnership with Anthropic. It's not really a white-labeled version of Claude Cowork, but it kind of is, right? They're leveraging that technology. And obviously Microsoft is a big investor in Anthropic. So initially this was rolling out to a very small beta group. So now it's going to be rolling out to a pretty big group in the Frontier program. So the company said Copilot Cowork lets users describe the outcomes they want, then creates a plan, works across files and tools, and then shows visible progress. Right. So kind of the screenshot here I have for our livestream audience, you can kind of see it work through its entire plan, very similar to if you've used in-proprietary Cloud Cowork. Right. But Microsoft style. So Microsoft said Copilot Cowork includes skills from both Claude and Microsoft, right? So it's not just, just an exact, you know, duplicate of Copilot Cowork because it does include obviously a lot of specific and Microsoft exclusive capabilities, including calendar management and daily briefing. And the company said it can handle both one-time tasks and repeatable workflows such as monthly budget review. All right, but here's actually some of the announcements that I am maybe more personally excited about. So Microsoft has announced a new and improved Researcher agent. Here's the big part, though, built on multimodal intelligence. So it's aimed at a more complex knowledge work by synthesizing information across sources and producing cited, reasoning analysis that users can act on. So one of the most important additions is the new critique feature, where OpenAI's GPT model will draft a response, and then Anthropic's Claude model reviews it for accuracy, completeness, and citation integrity before delivery, showing that Microsoft is now productizing a multimodal review workflow rather than relying on a single model's first pass. Y'all, I can't believe it is essentially now Q2 of 2026, and we're now just getting this for the first time from one of the big players. Granted, it's really only Microsoft or Google that could do this, right? Essentially bringing a new model in from a different company. Right. So that's completely different training. It works in a completely new way. And essentially having those two models work well with each other, but technically against each other, right? So having OpenAI's GPT create something and then Anthropic's Claude essentially tear it apart, right? For anyone that's a power user of AI, if you're using it for high-value work, this is what you've been doing manually, right? For me, this is probably what I spend I spend 70% of my time doing, right? I think there are some great third-party solutions such as Perplexity's Model Council, but it's honestly very expensive, right? It eats up a bunch of credits. There are some other, you know, third-party, less popular tools that kind of do this, but it's actually a pretty big deal that Microsoft is the first of the Big Four, right? So that's Microsoft, OpenAI, Anthropic, and Google. They're the first ones who provide this. And like I said, they can't really— anyone else can't really do this. I think technically Google could, right? Because Google is also a big investor in Anthropic. But I think they're probably competing a little bit too closely on the model size, on the model side as well. Because right now, Microsoft is, even though they are developing kind of their next generation of models, right, in their Microsoft AI Moustafa Suleiman now working on that side. They don't really have today, at least frontier-level models. So this is pretty big, both expanding Copilot Cowork to the frontier program, which is a lot of enterprise organizations here in the US, but then also with these new updates in the Model Council, which is huge. So that's a new feature. So you have the critique feature in Researcher, but then you also have the model console feature, which lets users compare responses from different models side by side so they can see where answers agree, where they diverge, and what each model contributes. So like I said, that's something that's been kind of available inside Perplexity, but pretty cool to see this offer now from one of the Big Four. All right, that's it for our big stories of the week. But let's roll into our what's new and what's next. So this is the kind of bullet point roundup of all the other big stories in other weeks. Some of these might have been some of the biggest stories of the week, but there's a lot going on this week with all the new leaks, the big models released from Microsoft, a ton going on. So let's go over this what's new and what's next. So Anthropic released a new economic index which shows a widening AI fluency gap. Google released their updated Lyria 3 Pro. You can create audio tracks up to 3 minutes. OpenAI reportedly closed their funding round that's reaching $120 billion. All right. Meta introduced SAM 3.1. So that's their segment anything model that allows you to segment any object in image or videos from simple prompts like click or boxes. SoftBank reportedly secured a $40 billion loan tied to their OpenAI investment. A report said that ChatGPT's new ad pilot passed $100 million in annualized revenue. So we saw some reports that even though maybe it wasn't as successful as they had hoped, well, they've already brought in $100 million in annualized revenue. My hot take is they're going to like 10x that by the end of the year. It's going to be a cash machine. The White House announced members of the President's Council of Advisors on Science and Technology, including Mark Zuckerberg, Jensen Huang, and others. Google released Gemini 3.1 Flash Live and Search Live. We went over that on our Friday show, going over our new Friday features, our weekly show. OpenAI upgraded their ChatGPT shopping and product discovery, really emphasizing shopping less and product discovery more. Google released an updated version of Google Translate. It's actually really good. I've been using it. We went over that Friday as well. ARM introduced that it will start making its own chips. OpenAI revamped ChatGPT shopping with a Genetic Commerce protocol in the Walmart app. Luma AI launched a pretty impressive and kind of out of nowhere, a new multimodal image model called Uni-1. Fairly impressive so far. Drugmaker Eli Lilly agreed on a $2.7 billion deal with Insilico for AI development. Drugs. Sam Altman reportedly has now shifted his own priorities and will no longer directly oversee security or safety at OpenAI. ChatGPT rolled out its library feature for central file management. Anthropic is reportedly working on a Computer Use for Mobile after their very viral Computer Use for macOS. In Gemini Business, Google is testing skills. Meta conducted another round of layoffs, this time around 700 employees amid their AI shift. OpenAI shelved reportedly their adult mode indefinitely alongside cutting and killing off Sora as a dedicated app for now. Meta rolled out new AI shopping experiences on Facebook and Instagram. OpenAI officially relaunched their nonprofit arm and named leaders, and they planned to spend at least $1 billion in doing so. Manus now offers a computer control from their iPhone app. I haven't tried that one yet. I do have a Manus subscription, so I'll have to give that one a try. There's a new benchmark in town, Arc AGI-3. Since Arc AGI-1 and 2 have essentially been saturated, but we're still saying we haven't achieved AGI, well, now there's Arc AGI-3, a new benchmark that has launched with $2 million plus in prizes. Apple will reportedly, like I said, oh, we already covered that one. They are opening Siri to rival AI assistants. Google Gemini is launching a chat history and memory import tools to make it easier to start with Gemini to transfer over. ChatGPT is getting unified Google Drive integration for business and enterprise. Suno released version 5.5. A lot of cool features in there, allowing you to also kind of use your own voice, which is cool. And then last but not least, Agile Robotics and Google DeepMind announced a strategic Research Partnership. Y'all, that was a ton happening this week in AI. If you missed anything, well, we just covered it. So you don't have to spend hours each and every week saying, oh, what's happening in AI? What's worth paying attention to? What's not? What should I be using in my company? That's what we do on our Monday show. So I hope this was helpful. If so, please subscribe to the show. Please leave us a rating. I'd really appreciate that. Takes like 30 seconds whether you're listening on Apple Podcasts or Spotify. And then if you haven't already, make sure you go to your everyday everydayai.com. Sign up for the free daily newsletter where we recap not just each day's podcast, but everything else you need to know to be the smartest person in AI at your company. So thank you for tuning in. We 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.