Ep 754: Anthropic’s ‘scary’ new model, Microsoft Copilot’s ‘Code Red,’ OpenAI’s Superinteligence New Deal and more
13 Apr 2026 · 0 min
In this unedited livestream episode of the Everyday AI podcast, hosts A and B deliver a rapid-fire roundup of the week’s most consequential AI developments for business leaders. They begin by detailing Anthropic’s upcoming desktop redesign codenamed “apotaxy,” its new Claude Managed Agents platform, and the highly guarded Mythos cybersecurity model that is being shared only with select partners via Project Glasswing. The conversation then shifts to OpenAI, covering confirmed Codex desktop updates—including a scratch‑pad feature and heartbeat system—rumors of a GPT‑5.5 “Glacier” model, and the release of a 13‑page policy paper titled “Industrial Policy for the Intelligence Age,” dubbed the superintelligence New Deal, which proposes robot taxes, a 4‑day workweek, and a public wealth fund. Meta’s surprise launch of the Muse Spark model is examined, noting its strong benchmark performance, closed‑source status, and new “contemplating mode.” Microsoft’s internal “Copilot code‑red” is explained as a push to improve the enterprise Copilot product suite amid competitive pressure. The hosts also report on two violent attacks targeting OpenAI CEO Sam Altman, highlighting growing security risks for AI leaders. The episode wraps with a rapid “what’s new and what’s next” segment that lists a slew of additional product releases, pricing changes, and partnership announcements across Google, Alibaba, ZAI, and others. Throughout, the hosts provide context, practical takeaways, and occasional skepticism, aiming to help listeners stay informed without spending hours reading news feeds.
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Anthropic has a new scary model. Very scary things are happening to OpenAI CEO Sam Altman. Microsoft is reportedly panicking about Copilot's performance, and somehow Meta's newest AI model is crushing it. Yet that's not even half of what's moving and important in the AI world right now. That's because OpenAI and Anthropic both confirmed big desktop releases this week. Oh, and OpenAI wants to tax robots and let humans only work 4 days. Yay. All right. If you missed any of that or everything else that we're going to go over today, Don't worry, that's what we're here for. This is the AI news that matters. If you're new here, welcome to Everyday AI. We do this, well, 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 everything that's happening in the AI world, but how to make sense of it and to get ahead and grow your company and career. So if that's what you're trying to do, awesome. Starts here with the unedited, unscripted livestream podcast, but it's be the smartest person in AI at your company, make sure to go to our website at youreverydayai.com. All right, there you can sign up for the free daily newsletter and we'll tell you everything else that's happening today. But on Mondays, we give you the AI news that matters. So don't spend all week, you know, spending multiple hours a day reading things and being like, oh my gosh, is this real? Is this fake? No, just join us on Mondays. It's a great way to kick off the week. I do this literally nonstop, 24/7 to help you. All right, so let's start off with our first piece of AI news, which is actually a big one, and it hasn't happened yet, but the companies have confirmed that it is. That's because we have, well, things are heating up just like the weather here in April in Chicago. It's like, my gosh, it's finally more than 20 degrees. But as the weather is heating up, so is the AI competition. So we are getting new releases this week from Anthropic and from OpenAI. So here's what we have via reporting from Testing Catalog. So Anthropic is preparing apotaxy. Apotaxy. I don't know. What are these code words? Can we get some easier ones? Apotaxy, a major power user redesign of Claude. So according to details uncovered from Claude code, the internal project is codenamed apotaxy, and it signals a big shift toward a more professional, power user-focused desktop experience that could ship this week. So the redesigned interface introduces a single window layout with dedicated panels for plans, tasks handled by subagents, and diffs, plus live coded previews and support for working across multiple repos. So Anthropic is also developing a new coordinator mode which would allow Claude to manage and delegate work across multiple parallel subagents while concentrating on higher level planning in synthesis. Users users will also be able to reportedly create agents directly inside the app on the fly. All right, now with OpenAI, we've seen a lot of rumors swirling lately, but it seems like they're all but confirmed as multiple members of OpenAI did say that they're going to be shipping some major updates this week in Codex. And well, that's because they're quietly starting to test a new scratchpad feature for Codex that would let users run multiple tasks in parallel, a move that points to a big expansion of Codex beyond just coding and moving into a central hub for AI-driven work. So yeah, essentially this scratchpad, you type out a bunch of things, right? It can be notes and then they turn into chats and then Codex just does them. So think if you were to, you know, leave yourself to-dos and then Codex just does them, right? So pretty cool. So these references suggest that OpenAI is also consolidating ChatGPT, the Atlas browser, and the different software and agentic engineering tools into the single super app, which we've been talking about over the last couple of weeks. But it does appear anyways that Codex may be kind of the final landing platform. I'm not sure if that's ultimately going to be true or if they're going to name it something else, but it does look like a lot of these rumored features of bringing the different functionalities all into one are at least being debuted in Codex. So we have seen reports that Codex may be the ultimate winner here, at least when it comes to desktop software. So yeah, if you don't know, you can use ChatGPT on the web, but also the desktop software. You have the ChatGPT app and then you have the Codex app. So in the new kind of leaks here from OpenAI, one of the most telling discoveries is a heartbeat system designed to maintain persistent connection interactions with long-running tasks. And that, well, if it sounds like OpenClaw, yeah, that's because that approach does closely mirror systems already used by OpenClaw and Anthropic's managed agent Project Conway, which we talked about last week, making OpenAI's move a clear competitive response as a desktop play. Separately, social media posts from OpenAI employees featuring Snowflake emojis. Yeah, we're talking about Snowflake emojis here on the show have sparked speculation about a new model release codenamed Glacier that some believe to be GPT-5.5, raising the possibility that OpenAI could pair a major platform launch with a model upgrade in the coming days. So yeah, maybe we'll see the, the rumored GPT-5.5. Maybe we'll see the full super app, or maybe this week we'll just see a Codex release with some of the other features. Kind of baked into Codex. My guess would be the latter, but on this one, my guess is as good as yours. Don't have any inside intel on this one, at least. All right, next, Anthropic has launched their new Claude Managed Agents to make AI agents easier to build, run, and scale. So it is in public beta, and it's offering a full production stack that lets developers build and deploy cloud-hosted AI agents without managing infrastructure themselves, which makes this a notable step toward more practical enterprise-ready agentic AI. So if that sounds super confusing, well, it might be. So you do have to use this on the backend in Anthropic's platform. So you're not using this in Claude AI, FYI, right? So you're not going to go to Claude.ai. You're going to be using Anthropic's platform. So the good thing is, well, you don't have to have a paid Claude account to do this. You just have to at least have a credit card on file because you will be charged for usage. So yeah, Yes, you can do this more on the technical side, but the cool thing is if you've used the, the GPT builder in ChatGPT, it's kind of like a sort of like a version of that, right? So you can simply chat with Claude to help you build agents in this new Claude managed agents, but you can also go a little bit more technical and under the hood, right? And the cool thing is it can connect to basically any MCP server. It can connect to anything, right? So in the same way that you might use Claude code and you might not know you don't know how to do any of this coding, but it's using the terminal and connecting to all these API services and doing all these magical things. That's kind of what Claude managed agents looks like inside of Anthropic's platform. So I did get to play with it for a little bit, I think on Friday. So I haven't spent multiple hours, but it does seem like a pretty simple way to build agents, but then to have them contained in Anthropic's kind of sandbox. You don't have to worry about deploying it out on your own. So the platform handles sandbox code execution, credential management, scoped permissions, checkpointing, and end-to-end tracing, meaning teams can focus on defining the tasks, tools, and guardrails while Anthropic's orchestration system manages the tool use context and error recovery. So cloud-managed agents also support long-running autonomous sessions that persist through disconnections and include multi-agent coordination, allowing one agent to spin up and manage others to parallelize. Sorry, parallelize. That's a hard word to say, right? complex work. So sounds great in theory, right? And it is. However, I will warn you, running parallel agents is great, right? Especially if you're using Cloud Code or if you're using Codex. Just keep in mind, if you are using cloud-managed agents, yeah, all those spinning up of subagents is, yeah, going to cost you because you're paying via usage, you're paying via tokens, you're paying via the API. So Keep that in mind. It sounds great and it is, right? I've tested it and, you know, I instantly had an agent that connected to, you know, my email newsletter and, you know, all these other services that had MCP data, right? Which is great. So you can just say, hey, I have all these services, you know, go connect to them. It'll bring up an authorization page, click a couple of things, and all of a sudden you have an agent, right? Let's say there's 5 pieces of software that you use all the time. right? And you're like, okay, I could, you know, try to piecemeal this together. Or, well, this is where this new release from Anthropic really, really works because not only will it just kind of build it for you, yes, you do have to auth, you know, authorize the agent, but then you can just run it in the sandbox. But like I said, the cost will add up fairly quickly. All right. A new deal for superintelligence. That is our next story because OpenAI published a 13-page policy document titled Industrial Policy for the Intelligence Age: Ideas to Keep People First. So this is what a lot of people are calling the superintelligence New Deal, and it outlined how governments should tax, regulate, and redistribute wealth from AI as the technology rapidly reshapes the economy. So the blueprint argues that AI progress is accelerating so quickly that the US may need a new social contract, right, comparable to the progressive era or the New Deal to address risks like mass job displacement, cyberattacks, and social instability. So OpenAI proposes bold new ideas, including a national public wealth fund funded partly by AI companies, taxes on automated labor to replace shrinking payroll taxes, and a 4-day, 32-hour workweek that shares AI productivity gains with workers. So the document also calls for treating AI access as a basic right for workers and schools, creating containment plans for dangerous autonomous systems, and triggering automatic expansions of unemployment and wage support when AI-driven disruption hits preset levels. So parts of this I think were really good, right? And if you didn't get a chance to read this, we shared this in our newsletter last week, but that's why you should be subscribing to our newsletter. So I think parts of this are great in theory. Many of these things will never see the light of day, uh, because many of them require the government to act in some official capacity. And this is coming from someone that used to cover, uh, the government as a journalist. The government doesn't work like that, especially today's federal government. I don't think anything of this magnitude, uh, will see the, uh, the light of legislation in the next, I don't know, 3 to 5 years. Right. So what we should really be following is the states. And we will see if states, you know, adopt anything like this. Obviously, I would keep an eye on California, which is where all the big tech companies or mostly all the big tech companies are headquartered. So a couple of things I kind of wanted to point out, right? Like the robot tax, very popular. A lot of people have talked about that. That makes sense. And you do have to, I guess, tip your hat to OpenAI for saying like, okay, yeah, like if AI takes all these jobs, we need to have money to help all the humans and we should be taxing the robots. You know, that makes sense. But then on the other hand, you know, they're essentially saying that AI needs to be deemed a basic right. So, you know, on one hand they're like, okay, well, this thing that we're selling, you know, we need to call it a basic human right. Great. But at the same time, we're like, we know it's probably going to take a lot of jobs. And so we need to do something about that. So I've talked about this a lot over the course of the last 3 years. I'm not going to bore you with my hot takes. But you know, overall, I do think AI is going to change what full-time employment means in the US. I think ultimately, AI will replace more full-time jobs than it will create. But I do think the future of work is, well, a lot of people that aren't even entrepreneurs, they're gonna have multiple knowledge working side hustles, right? So I don't know, if you're a lawyer, maybe you get laid off from your law firm. Instead of being a full-time employee, you might just have 10, you know, very niche lawyer side gigs, right? Yeah, it's kind of the way I see things shaking out. But, uh, yeah, we'll see. All right, next piece of AI news. This was kind of shocking. Yeah, Meta has a new model and it's actually pretty good. Yeah, so Meta announced their new Muse Spark. That's their new AI model. After investing a ton of money and a ton of time, we're talking billions of dollars and more than a year. So like I talked about on our Friday features, I did get to sneak this one in on our new Friday features, but you know, As I said, it's been a year since Meta released Llama 4. In AI time, that feels like a decade, right? It seems like almost everyone wrote Meta off because they didn't really come up with anything after Llama, but we knew that they had some big shifts internally, and it looks like their first model anyways, fairly impressive. So yeah, the company offered, you know, they had an acquihire of more than $14 billion for Scale AI and its CEO Alexander Wang. Then the company reportedly offered some engineers pay packages worth hundreds of millions of dollars to staff the new MSL, or the Meta Super Intelligence team. So the Muse Spark is the first model in a series that was known internally first as Avocado. So that was the code name. So if you've been listening to the show, we've been talking about that. And right now it's initially available only on Meta's AI app and their website. And they do have plans to essentially replace the Llama models anywhere with the new Muse Spark. The other thing to keep in mind, well, unlike previous open releases via the Llama series, the new Muse Spark is not open source. So it is closed, it is proprietary. Right now it's only for free, right? So presumably that will change. And right now it is not available via the API, although the team at Meta did say that they will be rolling out the API soon. So according to independent evaluations from Artificial Analysis, Muse Spark already matches top models from Google, OpenAI, and Anthropic in language and visual tasks, but falls behind in coding and abstract reasoning, tying for 4th place in the broad AI test. Yeah, I was actually fairly shocked. Right? So if talk about artificial analysis a lot on the show, it's essentially, it's kind of like an aggregator, right? So it takes all these different benchmarks and all these different scores from all these different places and gives all the models a score. All right. So right now, Google and OpenAI are tied with their respective models. And then in technically second place, you have Claude with Opus 4.6. And now in third, technically, you have Muse Spark, right? Which is pretty impressive. The other thing you have to think, I think people are looking at this a little bit differently because Meta did say that they've rebuilt this model from the ground up, right? So this is not, according to Meta, just a new version of Llama that's been improved upon. This is what Meta says, a built-from-scratch new model. And the fact that it's doing that well already ready, a, uh, just 1 point behind Claude Opus 4.6 on the artificial analysis. And what is maybe even crazier, uh, on Arena, right? So we talk about Arena, formerly, uh, LM Arena. So this is the blind taste test, and it's also 3rd right now on LM Arena, although that could change at any second because it's only by like 1 point. But, uh, regardless, it's a top 5 model by benchmarks and by user preference, which if I was putting money on this beforehand, I would have said they were probably going to be in more of the 5 to 8 range. So fairly impressive. And a lot of people were kind of dragging Meta, right? Because they released their benchmarks and they're like, okay, well, Meta released all these benchmarks and they're not even really top on any of them. But when you think about it, this is technically their first model in this series and it's, you know, top 2, 3, 4, depending on what you look at. I don't know. I'm impressed. I've used it. My actual usage is mixed, right? Because I'm a very heavy GPT-5 Pro user and I was giving it very complex tasks. You know, there is also a new content. What is it called? It's called contemplating mode, right? Which kind of runs these multiple agents simultaneously. So that was the thing I was like really looking forward to because I'm like, oh my gosh, this thing runs you know, 16 agents at a time or something like that. And it's supposed to be comparable to, you know, Gemini DeepThink or OpenAI's GPT-5 Pro. To me, I wasn't as impressed with the new contemplating mode, but I was maybe more impressed actually with its coding abilities, its writing abilities. So yeah, you have a new model to try out at least. All right. Going from an impressive model to a company that is maybe not impressed with its current AI outputs. That is because, according to reports, Microsoft is under a Copilot code red. All right. So, and this is according to BNP Paribas analyst Stefan Slowinski, who reported that Microsoft CEO Satya Nadella has declared a Copilot code red inside of Microsoft signaling an all-out push to enhance Copilot's performance and user experience. So the urgency comes as investors express frustration over Copilot's limited traction despite Microsoft's leadership in software in general. So Nadella's initiative reportedly includes the upcoming launch of the E7 suite, which I believe should be here around the beginning of May, with ongoing updates and new features planned throughout the year to accelerate Copilot's adoption and usefulness. So according to Slawinski, the initial feedback on Copilot is improving. 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, 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 1. 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. Suggesting Microsoft's renewed focus could pay off as it leads to better user satisfaction and market perception. But the competitive threat from rivals such as Anthropic is a major reason behind the Code Red strategy, as Microsoft aims to stay ahead in enterprise AI tools. So Slominski also noted that Azure could still outperform expectations due to growing demand for tokens and higher GPU pricing, even if internal usage increases further. Here's the thing with Microsoft, right? It's no secret that the enterprise has been rather frustrated with Copilot, right? They were one of the first out of the gate, right? You technically had ChatGPT first, but I mean, Copilot was the first like serious enterprise business AI tool. And I think a lot of enterprises who adopted early and invested heavily, right, in 2023 and 2024, Maybe they've been disappointed in the last, you know, 2 years or so as you've seen Google Anthropic and OpenAI really just take off. However, if I'm Microsoft, I'm not exactly worried, right? They're the only company that has the, you know, the green flag for the most part across the entire enterprise, right? It's much easier for Microsoft Copilot to break its way through the enterprise. Although obviously Google, OpenAI, and others have been really cracking that space. But in the end, I'm not super concerned. Top level, if I'm Microsoft, yes, you got to make Copilot better. Yes, a lot of people don't enjoy using it. Yes, a lot of Copilot users are jumping ship specifically to OpenAI and to Google. But I don't know, Microsoft's a big investor in Anthropic. Microsoft is the biggest single investor in OpenAI. So yes, it's bad if they're losing, uh, if they're losing users to Microsoft, or, or sorry, if they're using— lose— my gosh, I can't speak today. If they are losing users to OpenAI or Anthropic, but in the end they're still just making money off that anyways. So So we'll see if this Copilot Code Red leads to anything. We did see similar stories earlier this year that, you know, Satya Nadella was going full PM mode, right? Like product manager, he's rolling up his sleeves, sitting down with the product team. So I'm actually, and I'd like, I told some people this, had an in-person event last week in Chicago and I told people this, like, I'm actually bullish on on Microsoft. I've seen a lot of what they've released the last couple of weeks, right? They're essentially— what they're doing, I, I'm not going to say they're white labeling a lot of products, right? But they came out with a version of Copilot, uh, their Copilot Cowork, which is very similar to Anthropic Cowork. It's really good, right? They have their new task feature, which is really good, similar to some features on Anthropic and OpenAI, just scheduled tasks. So I think Microsoft has actually been shipping a lot. I think those companies that maybe haven't found the utility in Microsoft Copilot, it's actually more of a training and education problem versus a model problem because now you get the best of both OpenAI and Anthropic when you're using Microsoft. All right, let's get to some scary stuff happening to OpenAI CEO Sam Altman. Yeah, this was shocking to read about over the weekend. So OpenAI CEO Sam Altman Altman's San Francisco home was targeted twice over the past, uh, 4 days, raising concerns about the risks facing tech leaders in the AI sector. So the latest incident happened early Sunday morning when suspects in a car allegedly fired a round of shots at Altman's property before fleeing the scene. So police quickly traced the vehicle using surveillance footage and arrested two suspects later that morning. So officers searching the suspects' residence found three firearms, and both individually were booked for negligent disarm— discharge of a firearm. So this attack followed a Friday morning incident in which a 20-year-old man from Texas allegedly threw a Molotov cocktail at Altman's home. So security at Altman's property extinguished the fire from the Molotov cocktail, and no injuries were reported by either or in either incident. But the two attacks come as Altman has publicly voiced concerns about the societal impact and anxiety surrounding AI, calling it the largest change to society in a long time. So the rapid succession of attacks underscores the growing tensions and security risks for leaders at the forefront of AI development. So Altman did respond in a blog post after the incident on Friday, and he was also critical of a New Yorker article that questioned his trustworthiness, acknowledging the impact of those negative narratives. So Altman did admit past mistakes, including being, you know, conflict-averse and mishandling issues with the OpenAI board, but emphasized his commitment to improving OpenAI's mission. He called for less dramatic rhetoric in the AI industry, advocating for broad technology sharing and urging constructive debate to avoid further real-world harm. Uh, here's, here's the harsh reality, right? Um, I'm going to say this as someone that lives in Chicago, um, and that's important because I think maybe the majority of our listeners are not from Silicon Valley, right? Uh, but I know, you know, there's other, you know, popular tech publications where the majority of people are from Silicon Valley. Silicon Valley is a bubble in a bubble, right? I don't quite think that Silicon Valley and all the big AI frontier labs really understand what the rest of— truly understand, right? Because I don't think you truly understand unless you live it what the rest of the world or what the rest of the US feels about AI. And the reality is most people don't want it. Most most people don't like it. Most people view AI as a threat. So unfortunately, this is an extremely unfortunate incident that happened. But I think that we're going to continue to see AI leaders from all the big companies— I think this is going to be unfortunately an ongoing issue, their literal safety, right? Because people start losing their jobs to AI, right? You can't just get mad at the cloud, right? Unfortunately, it's people like Sam Altman, people like Dario Modi from Anthropic, people like Sundar Pichai, uh, you know, people like Satya Nadella. It's the faces of these big, you know, 4 or 5 companies, you know, Mark Zuckerberg at Meta as well. These are the people that people are going to be angry at, right? Because unlike, you know, the internet, there was really no face of the internet. I guess you could say maybe Bill Gates, but ultimately the internet was a very slow change to jobs. It was a slower change to the economy. Yes, you had the dot-com boom and bust, but things with AI are moving much, much faster. And I don't think that people in Silicon Valley necessarily largely understand how the rest of the US really feels about AI. And yeah, I think that unfortunately we're going to see ugly incidents and I don't want it to happen. Right. And I hope all the, you know, leaders of these AI companies stay safe because ultimately I am very optimistic about AI's future and doing more good than bad. You know, hopefully it's able to cure diseases and do all of these great things. yes, it's going to cause a lot of unemployment at the same time and people are going to be mad. So this is terrible. I hope it doesn't happen again. But unfortunately, I do think that the leaders of AI tech companies are going to have to be doubling up their security as the rest of the kind of US finally sees what AI is capable of in terms of job displacement. Replacement. All right, last but not least, more scary stuff. A model so scary Anthropic can't release it. So Anthropic has announced its new Mythos preview model, which they say is so powerful at finding software vulnerabilities that the company is keeping it private, raising concerns about both cybersecurity and access to advanced technology. So Anthropic said its new Mythos preview model has found thousands of critical vulnerabilities across major operating systems and web browsers, including a 27-year-old flaw in OpenBSD and a 16-year-old bug in FFmpeg, all that have previously gone undetected. So essentially they're saying that, uh, their new Mythos model is a cybersecurity whiz and it's able to find thousands of these you know, zero-day bugs that, you know, millions of human researchers could never find. But the company is not, at least for now, uh, releasing the model publicly. Uh, instead, uh, they have their new Project Glasswing, which is essentially a group of companies that they're giving access, uh, to Mythos, to these companies, and they're essentially saying, use this to harden your software to make, you know, your software better. Because when a model like this kind of hits the streets, right, we want these, uh, you know, big tech companies to be safe, and we want the technology that people use, uh, to not be exploited by a model like Mythos or similar, uh, right? So the company right now is sharing it only with partners such as Apple, AWS, Google, NVIDIA, Microsoft, and 40 other organizations as part of project Glasswing, and that is kind of their defensive cybersecurity initiative. But this move marks the first time in the modern AI era that a major model is being withheld from the general public but is being released privately due to concerns over its potential misuse, creating a significant knowledge and technology gap between elite companies and the broader public. So yes, there was times early on, right? Like, even I remember OpenAI way back in the day because I was using their, you know, their early GPT, I forgot if I was using GPT-2 or GPT-3 technology, right? Like back in 2020, I remember there was a time they were like, oh, we're not going to release this model because it could write lies about people. And they eventually released it. It wasn't that they just released it to 40 companies. So there has been time in the past when companies have said something like, oh my gosh, our model's too good. We're not going to release it. But they eventually did release it, this one with Anthropic, presumably they'll eventually release a version of Mythos. Maybe it's a stripped-down version, but it seems like at least for the short or medium term, for the first time, there's a huge tech divide, right? There is, you know, the democratization of AI may no longer be a thing anymore, right? So it's like, oh, we had a great run for the last, you know, 4 or 5 years when when, you know, the Fortune 100 companies, you know, were using the same thing as, you know, small mom-and-pop shops. So that time may now be gone with this new Mythos model. So the company claims that Mythos was not intentionally trained to be a cyber threat, but its advanced coding abilities led to the discovery of vulnerabilities that even the top human experts and previous AI tools missed. Uh, so what's my take on this? I mean, I did a whole episode, so you can go listen to that, 752. So I'm not going to spend too long on it. I mean, part of me, I think Anthropic made the right move here, right? If they are truly actually concerned, uh, about this, uh, being a model, uh, that could be a cyber threat, uh, okay, that's great. To me, I don't know. Uh, you know, Anthropic has had, uh, in its CEO, I've had a lot of, um, I won't say boy that cried wolf, but they've had a lot of, uh, instances in the past where they're really hyping things up, right? They're like, oh, you know, AI is gonna, you know, take all coding jobs. And then they said AI is going to take, you know, half of white-collar jobs. And those things might ultimately come to fruition, I don't know. But to me, it seems like this was a strategic play with Glasswing, right? You could have everyone talking, uh, you know, about how it's this new dangerous model, right? And, you know, I, I don't know. To me, I think Anthropic had a huge and embarrassing data leak, uh, right, a couple of weeks ago. Um, and they know that they're gonna be going for an IPO here, presumably in Q3 or Q4, and they need something, right? They need something in between that. You can't have your last big, you know, international, uh, splash on the news radar to be, oh, that time you accidentally leaked your source code to your most popular product on the internet, right? That's not a good time. And then like 4 months later, you know, at least outside of the AI scene, right? Like, we're talking about AI, you know, or we're talking about Anthropic every day, but I'm saying the entire world, right? The entire world was talking about Anthropic and that code leak. Anthropic needed something, I think to divert the attention from, oh my gosh, we accidentally just, uh, leaked the source code to our most popular product, Claude Code, right? And we're getting ready for an IPO here. We need to start to spin up a new narrative. So, you know, now it seems like this new narrative, whether it's 100% true, 50% true, I don't know, right? I don't know. I would say it's 50% true. They are actually concerned about, you know, releasing this publicly because, yeah, it could create a lot of a lot of bad actors. We'll just say that, right? With all the software that we use. Yet at the same time, I do think this is a little bit of pre-IPO marketing and just trying to flex on everyone and saying, yeah, look at how good our models are. All right, so that is it for the big stories of the day, but we're going to end— or sorry, of the week. We're going to end with our what's new and what's next. So this is a combination of some leaks, some rumors, and just, you know, some pieces of news, some updates that came out this week that, you know, we just didn't give— we didn't have enough time to give full, full attention to all these. So we're going to go quick here. So we're starting Google Ads Notebooks inside of Gemini with full bidirectional sync to NotebookLM. Yeah, so it's kind of like projects, but it also works with NotebookLM. Pretty cool. So leaks show that Anthropic may be building a lovable Musk full-stack software building program. That would be crazy. Brad Gerstner of Ultimator Capital said that companies are already using OpenAI's Spud model and it rivals Claude's Mythos. OpenAI launched a $100 a month ChatGPT Pro tier with 10x Codex access. So yeah, if you didn't want to pay the $200 a month but you wanted more than the $20 a month Pro plan. Now you have the mid-tier $100 a month Pro tier. Apple is testing for premium material smart glasses design powered by AI and paired to your iPhone, targeting a launch in 2027. Spotify now creates podcast playlists from natural language prompts. Just, I don't know, maybe you ask for the best Everyday AI episodes. Try that. All right. Alibaba's Happy Horse One. Unexpectedly took the top spot in the AI video arena. Yeah, it looks really good. Better than Seedance, better than VO3, sorry, VO3.1, at least for now. Speaking of models that made a splash, ZAI released their GLM-5.1, which is not only the new state-of-the-art model for open source, but it also outbenched top frontier models on SWE-Bench, like GPT-5.4, Opus 4.6, and Gemini 3.1. M1 Pro. That's huge, right? An open-source model. I mean, you gotta have like a supercomputer thing to actually download this thing, right? But it's open source, um, and it outperformed the big three on SuiBench, which is one of the most, uh, popular benchmarks for software engineering. Microsoft updated its Copilot terms because previously they had that Copilot was for inter— uh, entertainment purposes only. Uh, so yeah, there was some criticism on that, so they changed it. Uh, next, a DC court allowed the Pentagon to blacklist Anthropic, but other agencies can still contract with Anthropic. So yeah, the ongoing kind of battle might be closer to being closed. We'll see if that gets appealed. Next, according to an Axios report, OpenAI is projecting $100 billion in ad revenue by 2030. Nebbius is in talks to acquire AI I21 Labs for up to $3 billion, according to reports. OpenAI is partnered with Upwork so users can hire freelancers directly in ChatGPT. Goldman Sachs, Goldman Sachs came out with a new report that said AI-displaced workers face lower earnings and higher unemployment risk for a decade. Ella Marina has released the full history of its AI leaderboards as a public dataset. OpenAI is testing a new image generation model on ChatGPT A/B test in LM Arena. We talked about them testing it on LM Arena, but now they're also testing it inside of ChatGPT on A/B tests. So that would presumably be their new V2 of their image model. Google Workspace launched a feature where Gemini suggests the best meeting times for everyone. I mean, we've been needing that for like 20 years. All right, next, Pika launched an AI self-video chat beta. Where your AI agent talks, remembers, and acts in real time. Google quietly dropped this one. It's called the AI Edge Eloquent. It is a free offline dictation app on iOS using Gemma models. That is, it's super impressive too, FYI. Speaking of Google, they're preparing a Jules V2 coding agent that can set goals and drive improvements without prompting. The Gemini app now lets you create interactive interactive 3D simulations and models inside of the actual chat, which is really cool just to visually explain things. Google also expanded its finance tools globally with new AI capabilities. Cloud Cowork hit general availability for all paid plans. And Meta signed a $21 billion deal with CoreWeave to expand AI cloud capacity. Whew. That was a lot. All right. I hope this was helpful. Sorry, I got a little tongue-tied there. It just happens, right? There's so much going on. Even I struggled to talk about it. So don't spend hours every single day trying to keep up. Join us on Mondays as we bring you the AI news that matters. If you are new here, right on Wednesdays we go hands-on. We usually do a deep dive on one tool. So make sure to check out today's newsletter. We'll probably do a poll on that. So what do you want to see? And then on Fridays we do our AI Feature Fridays, which is where we usually do a handful of new features that you can start using now. And on Tuesdays and Thursdays, we kind of rotate our shows. So I hope this was helpful. If you're listening on the podcast, do me a favor, leave a review for us. I'd really appreciate that after you subscribe to the podcast. So thank you for tuning in. If you haven't already, please go to youreverydayai.com, sign up for the free daily newsletter. Thanks 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!
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