Everyday AI Podcast – An AI and ChatGPT Podcast - Ep 803: Anthropic Continues Fable Fight, Microsoft Goes Open Source, Midjourney’s Big Pivot and More AI News That Matters

Episode Date: June 22, 2026

While Anthropic and the U.S. Government continued to try and make amends, there was another seismic shift quietly taking place: open source surged. Between Microsoft reportedly testing Open Source models for Copilot and the powerful new GLM-5.2, there was a clear trend this week in AI world. Missed it all? Don't worry, we'll catch you up so you can make the informed decisions for your company. Anthropic Continues Fable Fight, Microsoft Goes Open Source, Midjourney’s Big Pivot and More AI News That Matters -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTopics Covered in This Episode:Anthropic Fable 5 and Mythos 5 Export BanTrump Labels Anthropic a National Security ThreatMicrosoft Copilot CoWork Open Source Model SwitchMicrosoft Considers DeepSeek-V4 for AI Cost ReductionChinese GLM 5-2 Sets Open Source BenchmarkGLM 5-2 Challenges Proprietary AI ModelsMidJourney Hardware Pivot: AI Medical Imaging ScannerCursor Building 1.5T Parameter Model, GitHub CompetitorAI CEO Summit: G7 Pushes US-Led AI CoalitionOpenAI Prepares GPT-5.6 ReleaseAnthropic, OpenAI, Google Face Geopolitical AI ScrutinyAdvancements in Token Efficiency and Cost ControlTimestamps:00:00 Trump's comments on Anthropic06:17 Microsoft exploring lower-cost AI models09:07 Microsoft exploring DeepSeek amid tensions13:45 AI model performance and efficiency trends15:59 AI leaders meet at G7 Summit21:22 Midjourney unveils first hardware product23:26 MidJourney's innovative spa technology28:50 Discussing Cursor's evolution and impact32:24 Talking about AI use cases33:27 Rumors and upcoming AI model releases37:20 OpenAI's major new hiresKeywords: Anthropic, Fable Five, Mythos Five, export controls, national security threat, Dario Amodei, Amazon, supply chain risk, Defense Production Act, Copilot CoWork, Microsoft, usage based pricing, open source AI, DeepSeek V4, Chinese AI model, token costs, Azure, agentic AI, enterprise AI billing, data security, compliance filters, GLM 5-2, Zhipu AI, 753 billion parameter model, MIT open source license, long context window, autonomous coding, Hugging Face, benchmark performance, text only model, multimodal capabilities, token efficiency, AI spend, G7 summit, AI governance, AI coalition, AI standards, cybersecurity risks, bioterrorism, chip trade, Sam Altman, OpenAI, Claude Opus 4.8, Gemini 3.5 Pro, MidJourney, medical imaging, MidJourney scanner, full body ultrasound, Butterfly Network, MRI alternative, spa launch, SpaceX, Cursor, 1.5 trillion parameter model, code hosting, GitHub competitor, code generation, AI super apps, Colossus compute, technical prompts, context window expansion, GPT 5.6, Claude Conway agent, Grok Imagine, Firefly AI, code artifacts, Google Ad Manager AI, Open Knowledge Format, Noam Shazeer, Dean Ball, Andrej Karpathy.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

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. While the U.S. government and Anthropic continued trying to make up and be friends again, the rest of the AI world didn't stop. And it was actually some smaller players that were making big splashes this week, potentially signaling more competition at the top for the big four of Anthropic, OpenAI, Google, and Microsoft. That's because open source may finally be having its chat GPT moment as a new Chinese model might actually be closing the gap between proprietary U.S. models and open source or open weight options. Oh, and Mid Journey made some news as well. Yeah, that my journey that you probably haven't heard from in years.

That's because they may be trying to disrupt the medical imaging space. Yeah, there's a lot going on if you don't follow every single day. And don't worry, I do that for you. So welcome to Everyday AI. And this is our Monday segment where we bring you only the most relevant news updates. I tell you what matters, what doesn't, and how you can use that information to grow your company and career. This is Everyday AI. So if you're new here, yeah, we do this every day.

single day, daily, unedited, unscripted, live stream podcast and free daily newsletter. So if you are new, please make sure to subscribe to the show on Spotify or Apple Podcasts. I'd appreciate that. And then make sure you go to our website at your everydaya-a-a-i.com. Sign up for the free daily newsletter each and every day. We recap the highlights from today's show as well as give you all the other AI news you need to know just in a quick, digestible form. All right.

So without further ado, let's go over the biggest stories of the week. that you might have missed. And I'm going to break it down for you simply. All right. Let's start at the top because yes, at least at the time of this recording, we still don't have access to Fable 5 or Mythos 5 at whole. That's because the Trump White House and Anthropic are still trying to make things work. So actually a little bit of a controversial statement maybe from President Trump, as he told the Axios show on Friday that he considered Anthropic previously and or its CEO, Dario Amati, to be a national security threat, though he now believes this situation is improving. Yeah, he did say that.

You might go want to listen to the interview yourself. We'll be linking it in today's newsletter, but he definitely say that he considered them a few weeks ago, whether he was talking about Anthropic as a whole or Dario Amadi, to be a national security threat, though it's now he says it's improving. So the U.S. government, if you haven't been following along, the U.S. government recently imposed strict export controls on Anthropic, barring any country outside of the U.S. and foreign nationals within the U.S. from accessing Anthropics' most recent models called Fable 5 and Mythos 5. So Anthropic has completely disabled in response to that. They disabled public access to those models.

Fable 5, which is the version of Mythos 5 with more guardrails. So yeah, but it's been down and gone now for almost a week since that export control. So the directive bars any foreign nationals, including foreign national anthropic employees from accessing these frontier systems. But because Anthropic can't instantly verify the exact citizenship of every single user on its platform, it was forced to yank both those models offline globally to remain compliant in. That's been about a week. So according to Axios in this new interview and story, the Trump administration's concerns were triggered by the Amazon report detailing the vulnerability in

Anthropics technology. Right. And a lot of reports said that was their CEO, Andy Jassy. And that led to the urgent discussions with the company leadership. Trump said he was a initially alarmed by Anthropics response, but was reassured after Amodi acted quickly and responsibly, calling him nice and smart after meeting him at the G7 summit this past week. So the Pentagon has labeled Anthropic a supply chain risk, a designation typically reserved for foreign adversaries, and it was the first time a U.S. company had gotten that label from the U.S. government. So Trump did not rule out using emergency powers under the Defense Production Act if Anthropic does not comply with new standards, but stated he doesn't

think that step will be necessary this time. Trump revealed that it was a competitor and part owner identified later as Amazon that alerted his administration about Anthropics practice. So we went over this in detail, FYI. If you missed the story, let me just go ahead and pull the episode number. That was from Thursday, episode 801. So if you want more, on the background on those developments. You go listen to that episode 801. But at least for now, Mythos 5 still offline. But the latest here, President Trump sat down with an interview with Axios.

So yeah, if you miss that, definitely worth checking out. All right. Our next story. And this seems to be an underlying theme this week on open source models, apparently being considered at the highest levels. So Microsoft is moving its co-pilot, co-work, AI assistant to a usage-based pricing model. So kind of a couple pieces of news here. Number one, that Microsoft is going usage based on co-pilot co-work instead of just including

it or going with a certain number that's included in a monthly subscription. That's number one. Number two is it's generally available where it's before it was in preview. And number three, the most recent news, according to reports, is that there are actually looking at models like China's deep seek v4, a version that Microsoft may fine tune just for co-pilot co-work to bring down costs. So according to reports, the company is exploring a lower cost self-hosted AI model as an alternative to the more expensive anthropic models that are currently powering co-pilot

co-work by default. And Axios did report that Microsoft is considering, among others, deep, deep seek v4. a Chinese developed open source model, which could dramatically reduce costs, potentially charging just about 87 cents per million tokens compared to Anthropics $50 per million tokens. So yeah, not the best at math, but that's like 18X cheaper or something like that. So Microsoft expects to announce its final model choice and deployment details within weeks with any new, with any new option to be hosted on Azure to keep customer data within Microsoft's cloud infrastructure. So the shift responds to the high compute cost that we've been hearing about over the last month or two

of Agentic AI tools. Specifically, we've seen a lot of reports from enterprises, you know, getting clawed bills that are pretty high, right? We saw that report a couple weeks ago. We don't know if it was legitimate or not, but apparently an enterprise company had a nine, figure bill from Anthropic, which is a lot, right? Hundreds of millions of dollars because they weren't keeping an eye on usage caps. So that's why open source models like DeepSeek v4 can cut costs, but they do require companies like Microsoft to handle additional hosting, optimization, and safety engineering, shifting some burdens away from commercial API providers.

So there are obviously a ton of political and regulatory concerns. as DeepSeek's Chinese origins have attracted scrutiny in Washington, raising questions about data security and compliance for U.S. companies. Microsoft has stated that any DeepSeek-based solution would be optional and subject to additional safety and compliance filters, aiming to address enterprise risk and regulatory requirements. So industry observers are watching for Microsoft's final decision, noting that total cost of ownership, will depend not just on per token prices, but also on model performance, reliability, and the need for robust monitoring and safety systems. So this one, it is kind of intriguing, I'll say that to say the least, with Microsoft making

this move and specifically, according to reports, looking at deep seek. So why is that noteworthy? Well, Microsoft obviously has good relationships in huge ownership stakes in both Anthropic in OpenAI, right? So traditionally, it's been the GBT models from OpenAI that have powered co-pilot. They recently started offering some Claude models as well, but the co-pilot co-work was running Claude models by default. So Co-Work is kind of the original technology from Anthropic that Microsoft essentially

had their own version that was powered under the hood by Anthropics co-pilot technology. So what's interesting here with Microsoft looking at. at model providers like DeepSeek is well, OpenAI and Anthropic have launched some serious concerns and regulatory steps that they've taken, you know, going to the U.S. government, accusing DeepSeek and other Chinese companies of distilling their models. So that's what's going to make this really juicy. Pretty, if I'm being honest, a pretty bold step here from Microsoft, even though it is just according to reports to do this, considering,

two of their biggest and most important partners in Open AI and Inthropic probably don't have the best view of Deepseek for those exact reasons because they've shown. Anthropic came out with a little bit more of a report how Deepseek and other Chinese companies are essentially taking all of their hard work to make these open source models. All right. So our next AI story staying in the same vein. Yeah, we have a new King of the Open Hill. That's Chinese startup. ZA.I is making a ton of headlines this week with their new open weights model, GLM-5-2. So ZAI has released that model, GLM-52, a massive 753 billion parameter language model, now available with unrestricted MIT open-source licensing.

So, GLM-52 is designed for Long Horizon Autonomic. coding and engineering tasks featuring a highly stable 1 million token context window, allowing it to handle extremely long documents and complex workflows. So the model is immediately accessible for download on Hugging Face, but yeah, you kind of have to be an enterprise with a little bit of compute to be able to do that because it is a large model unless you're going to run a highly quantized version of it. But you can also use it through Hugging Face, through the Z-A-I API, API, and and in over 20 third party coding environments.

So the new model, which is pretty interesting here, it does look like it's very benchmarked, FYI, right? That's when a company maybe puts a little too much priority on getting certain benchmarks. But still, it outperforms most other open source competitors. And it is even now challenging the top proprietary models on several industry benchmarks, including Sweed Branch Pro, which I think is thankfully on its way out of being an important model for software engineering. Yet still, it is batting on some of these benchmarks, including SweedBench Pro, Frontier Suite, and others around GBT55 and Anthropics Claude Opus 4.8. So with FABEL5 off the shelf, right, I mean, GPT55 and Opus 4.8 are the undisputed leaders.

So pretty significant, even if it is maybe a little bit oversaturated and a little bit bench maxed, that in open source model, I won't say they've closed the gap, but they're starting to close the gap on Frontier models. So there's obviously some use cases that you would absolutely not want to use GLM52, mainly because it's not multimodal. So it's text only. So that's a big downside, right? So for someone like me, I'm constantly doing.

multi-modal inputs, you know, whether that's in Google's AI Studio, whether it's in, you know, Anthropic Claude, Codex, chat, GPT, etc. Right. So you can't have multimodal input or multimodal output. But with text only, you know, GLM52 does seem to be a competitor. And it is technically state of the art, even beating in a couple benchmarks. I kid you not, Fable 5, Opus 4, 8, and GPT 55 on some more niche kind of front-end coding design, some certain benchmarks out there.

So pretty surprising, considering that even the best open source models prior to this were generally, I would say about four to eight months behind the frontier counterpart. So still, GLM52 is far behind, mainly in terms of capabilities because it's not multimodal. But for text only, you know, at this point, it is only like two-ish, two to three months behind, which is fairly impressive. And I think it does change the narrative, especially when, you know, kind of all of the rage in the second quarter

in the summer so far has been shifting to token efficiency. I do think most companies, the biggest decision that they're going to make in 2026, similarly to what Microsoft is doing, you know, looking at switching over from some anthropic models to Deepseek is, well, most companies are going to have to start looking at their

whether you're talking about token budgets, your AI spend, but you know, switching over from token maxing to token efficiency, which we did a story on that in our start here series. So make sure you go check that out. But essentially, right, some of these agents run in loops nonstop in as companies have kind of started to pluck away the, you know, them kind of subsidizing, right? Because you see different reports, you know, a $200 a month plan. we're paying API costs might cost actually if you're paying for those tokens anywhere from, you know, 10 to 15 to 20,000 dollars, you know, for $200.

So, you know, essentially these companies have been eating those costs just to get users in and happy and sticky and to, you know, get it rolled out into the organization. So a lot of companies are going to have to be looking at token efficiency. So pretty big news, both with the last two stories, Microsoft looking at open alternatives to power its co-pilot co-work. as they switched to usage base and with the new ZAI 5GLM 52 model, definitely one worth keeping an eye on. All right, our next AI news story,

the CEOs of Anthropic and Google DeepMind and OpenAI met with G7 leaders and top U.S. officials at the G7 summit in France. So the main news out of here, at least when it comes to an artificial intelligence standpoint, was a push for a U.S.-led coalition on artificial intelligence. So, Darry DeOamati and Google DeepMind CEO, Demis Hasebis, urged the creation of a U.S.-led international coalition to set rules and standards for AI,

setting urgent risks and the need for global cooperation. So President Donald Trump, U.S. Secretary of State Marco Rubio, Treasury Secretary Scott Bessent, and Commerce Secretary Howard Lutnik, represented the U.S. at the meeting highlighting the high-level attention on AI governance. The also had Canadian Prime Minister Mark Carney, who expressed support for U.S. leadership informing an AI-standers coalition, signaling growing international alignment on the issue. So the call for action comes after the U.S. government imposed export controls on Anthropics' latest AI models,

Fable 5 and Mythos 5, which led the company to disable access due to the national security concerns that the government labeled. So Emote recommended that international cooperation should cover structured access to advanced AI models and trade of chips and critical components, specifically excluding China from these exchanges. So the tech leaders emphasize the urgent need to address AI risks in cybersecurity, bioterrorism, and intelligence, warning that unchecked AI could lead to major disasters if misused. Open AI CEO Sam Malman, advocated for a global forum to set standards for testing, risk analysis, and international collaboration, while Open AI's Chris Lehan noted broad recognition that the U.S. should take the lead.

So the big development out of G7 Summit, well, number one is that AI was front and center, right? So maybe it was just timing, circumstantial timing with the mythos pull down that this happened in the middle of it. So, you know, especially when it comes to the rise of Chinese open source models, obviously, from an adversarial perspective, the G7 collectively wants to keep an eye on what China is doing in AI, how they're using this technology. Because like I've been saying for years, ultimately, this will play out one way or another on the battlefield, right? This is, I think, why the G7 and world leaders are starting to pay more and more attention to AI. not just because of how it can be used in cyber warfare, but also on the actual battlefield, which actually goes back to the initial kind of feud between Anthropic

and the U.S. government for how Anthropic did not want the military to use its models. So the other big takeaway here is obviously, seemingly some international support for the U.S. to take a lead in this G7 AI coalition, which makes sense, right? A lot of times other world leaders, you know, might not want to, you know, step aside and let the U.S. take a lead on something like this. But obviously, with the biggest and most powerful systems

in the world residing in the U.S., it does make a lot of sense. All right. Here's one that maybe didn't make as much sense. That's mid-journey. They've got an interesting pivot as I take a sip here of my coffee. 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 plus 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 three ways to jump in. Number one, go scroll back to the first one in episode 691. Number two, tap the link in your show notes at any time for the start here series. Or you can just go to start here series.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. Love the headline here. I believe this was from the verge. They said mid journey goes from generating cat images to full body ultrasound scans. Yeah, that's where we're at. So if you missed it, pretty, I mean, this could either end up being one of the biggest pivots or one. One of just the most confusing, but Mid Journey CEO David Holes has revealed the company's first hardware product, marking obviously a very significant shift from its well-a-i, well-known AI image generator. So here's what they announced at their event late last week.

So they announced the Mid-Journey scanner, which is a full body ultrasound device designed to capture detailed internal images of muscle, fat, bone and organs using a ring of sensors. So Holtz claims the scanner aims for image quality comparable to an actual MRI, though the scans should only take about 60 seconds, according to the company. So this pivot, well, you might be like being like, okay, how did they literally go from, you know, one of the first AI image models, you know, generating silly images, you know, especially early on that didn't look very good, right?

But mid-journey, I think, was, you know, the big place. early on before Dolly and all these other players. But before Mid Journey, their CEO, David Holes, actually had a relevant background. So he spent a decade as the CTO of Leap Motion, which is a company entirely focused on advanced hardware, optical spatial computing, and tracking human anatomy. And the other reason why this pivot maybe makes sense is, well, because MidGerney doesn't have any investors. So they can do what they want. So presumably, aside from there's a lot of lawsuits out there that are still pending.

So we'll see where they land or settle in those. But presumably, Midjurney has a nice stack of cash and they don't have, you know, let alone companies like, you know, SpaceX and Cerebras that just went public. Obviously, Anthropic and Open AI will be going public fairly soon. So that changes what you can and can't do. And even in the time leading up. But Mid Journey as a company that's, essentially bootstrapped in, at a time at least, they were printing money.

They can make these kind of pivots. And with Holeses background, it maybe makes a lot more sense than people initially thought when they just saw the headlines. So let's talk a little bit more about the device. So it uses 40 butterfly ultrasound on chip imaging modules and two petaflops of processing power developed in network, in partnership with the butterfly network. So the scanning process. involves the subject stepping into a shallow pool of light and descending into water,

where thousands of underwater sensors use ultrasonic waves to create 3D images of the person that is in the machine. So here's the other interesting part. Well, you're not going to, well, maybe you will, but at least that's not the plan to find these things in a doctor's office. That's because Mid Journey First plans to open a spa in San Francisco. goes Union Square by the end of next year, featuring 10 scanners, a gym, saunas, cold plunges, and hot tub equipped scanning rooms. So yeah, not something that they're, you know, going to be

rolling out to, you know, AI equipped doctor offices. It seems like they're going to be opening spas with these scanners. So the company is currently focused on body composition maps, which do not require FDA clearance. That's the key there. But future medical applications would need regulatory approval. So users will be able to share their scan library with doctors and AI health tools and Min Journey promised to prioritize data privacy as the launch approaches. So Hulse envisions the scanner becoming a faster, safer alternative to an MRI without radiation or magnets in hopes for future FDA device classifications to enable broader data collection.

So, yeah, a strange one here. But the more you think about it, it kind of makes sense, right? MRIs are expensive. They're not easy to get into. So we'll see how this is initially received. And we'll see, I think the telling thing will be how this is received outside of San Francisco. All right, because let's be honest. There's a decent chance.

No one knows how much this is going to cost. But this just seems like it's. It's made for tech pros, right? Let's be honest. Let's, it, it sounds like it's made for people with, you know, who put, you know, use stacks of cash to, you know, as a booster seat, essentially. So I think people who have, you know, millions of dollars of disposable income who live in Silicon Valley might see something like this and say, oh, absolutely. Outside of San Francisco, I mean, we'll see how this catches on, right? I'm from Chicago.

I don't necessarily see this catching on. Again, it depends on price. Yes, there's all these other things. The spa, the plunge pool, sounds great in all. But I don't know how many people would be interested in, you know, and their kind of thought on this is the more that you scan, the more scans you get, the more likely you are to pick something up and detect a potential disease or abnormality sooner,

which makes total sense. But I just don't know the amount of people who can afford something like that. or if there's an appetite outside of tight tech circles for people to be going, I don't know, monthly or even quarterly, uh, to get these scans. But regardless, hey, you got to swing for the fences to hit a home run. You're not going to put runs on the board by bunting every single time at that. All right. Speaking of swinging for the fences, this one did not get a lot of coverage,

but I decided to make it a main story because I think it's really important. So Cursor announced a new, well, they didn't actually announce it, but they kind of previewed it that they're working on their own from scratch 1.5 trillion parameter model and they are releasing a GitHub competitor. So two big pieces from Cursor. So days after officially being acquired by the now public space X, cursor dropped some major announcements at their competitors. Pile Conference. So those are that they're launching a new made-from-scratch AI model with over 1.5 trillion parameters, trained on scratch on more than 100,000 GPUs, making it potentially one of the largest and most powerful models to date. So that's what happens when you are now owned by Space X and you have access to all these compute factories, Colossus 1 and 2,

that GROC slash XAI slash SpaceX, right? They're now just one thing. They've invested heavily in. So cursor says this new model is designed to be a generally intelligent assistant, moving beyond code generation to handle complex engineering tests like planning, testing, and interacting with user interfaces. So a couple of reasons why I think just the model is important. Well, number one, their last model that they up, that they,

came out with that I believe was based on Kimmy. So it was just a fine tune or built on top of an open source model. So Composer 2.5 was actually a really good model. It was the first time that Cursor, I think, had a model that a lot of people were starting to consider. And as we start to shift into the super app phase, all right, so make sure you go listen to episode 799, where we talked about AI super apps. And I did mention Cursor is a player now. you have to look at the cost efficiency.

So essentially with Composer 2.5, you got about maybe 90% of the power that you would get from something like Opus 4.8 at like 10% of the cost. So with cursor going from scratch and now having that relationship with XAI, GROC, SpaceX, I do think we have to start paying a little bit of attention,

a little bit more attention to Cursor, especially because I do think on the harness side, it is 1A and 1B in terms of, I do think still codex on the harness side, 1A and Cursor 1B. They have a great harness in the Cursor platform. So Cursor's CEO Michael Truel emphasized the scale and fresh training approach allows for better control over model behavior and supports a wider range of engineering workloads. The other big news is they did announce their origin feature a new Git Native code hosting platform built for AI agents, which aims to challenge Microsoft's GitHub by supporting thousands of automated code operations daily in featuring automated conflict resolution. So cursor's acquisition gives it access to SpaceX's vast computational resources with analysts saying the combination of cursor's reinforcement learning expertise,

and SpaceX's compute power could quickly make Cursor a top competitor to Codod, Codex, and even GitHub. So the GitHub play is interesting because we saw reports about a year and a half ago that OpenAI was developing their own GitHub kind of competitor, but it never came to fruition. So maybe that was one of those side quests that was tabled. So Cursor maybe could start. putting itself into the conversation. We'll see if we start shifting from talking about the big four of Anthropic Google OpenAI and Microsoft and maybe cursor might thrust itself up into that first tier. All right. Our last big piece of AI news. Yeah, it seems GPT56 from OpenAI could be days away.

So according to reports, leaks, sleuths online, all that stuff, OpenAI is preparing to release its new GPD 5.6 family of AI models as soon as next week. So according to reports and leaks, you might see a couple different variations of the GPD 5.6 model, including the standard, a new mini and pro versions that could debut together. Early access to GPD5 Pro has reportedly already reached some pro subscribers who report reports noticeably better understanding on technical prompts, though certain web development issues remain unresolved. So yeah, if you've been on Twitter at all over the last like five days, you'll see a lot of people, and I need to do a better job of coming up with these use cases that I actually save. The thing is, I try to not take on as many of the visual use cases because I think there's

plenty of people out there. And I don't think that for the most part, these are things aside from, you know, creating things like decks, powerpoints, you know, Word documents, you know, business dashboards. I think a lot of those are easy to compare. But I think, you know, what a lot of people are doing is just like, you know, 3GS, you know, 3D worlds, you know, coding games. I don't think for the majority of our audience, that's something that people are excited about. But that's why I think we've seen all these reports that apparently Open AI may be testing, AVT-Testing GVD-5-6, because people have saved. Oh, here's what GVD-5-Pro did when I said, you know, create an interactive world model that you can walk through, you know, just using 3GS or something like that. And people

have those kind of saved and all of a sudden it's, wow, like three, four times better. So a couple more details. The new GPD 56 is rumored to push the context window to 1.5 million tokens up from 1 million tokens in GPD 55, allowing for significantly longer in more complex conversations and coding sessions. So developers who think or believe that they have access to GPD 56 pro say that it outperforms Anthropics Mythos models in agenetic coding tasks, raising the stakes in the competition for the AI-powered software development. So make sure to keep an eye on the newsletter this week. And obviously, if it does come out, you better believe we will be having a show because

there's a good chance that maybe as soon as today, maybe by the time that you, you know, hear this podcast that we might have Fable 5 from Anthropic back. Again, according to reports, we could have GVD5-6 as soon as the podcast. this week. And we did earlier from Google themselves at their I.O. conference last month. They did say that next month, which would be this month in June, they did say that they're going to be releasing their Gemini 35 Pro model. So in theory, this week, we could get access or get access again to three state-of-the-art models. So a pretty big week. Buckle in. Make sure you got your tokens ready or your API.

budgets in check because there could be a lot of new model access rolling down the pipeline. All right. So that is it for our main AI news stories. So let's quickly go over everything else. This is the what's new and what's next. Just stories that didn't make our top cut, some rumors, some leaks. But let's go ahead and go through them quickly bullet point style. All right.

Here we go. So Amazon, Nvidia. And AMD invested $310 million into OdysseyML to advance real world AI understanding, Anthropic upgraded claw design, adding custom design systems, code sync, and export features. That one really good. FYI. Open AI is reportedly preparing to integrate the library feature from ChadGBT into codex. I would like that.

I spent a lot of time trying to find all those files. XAI released their GROC Imagine Video 1.5 model. Looks pretty good. Adobe expanded their Firefly AI assistant to other tools in their stack, including Premiere, Illustrator, InDesign, and Frame I.O with some new features. OpenAI released unified usage analytics and spend controls for ChatGBTGBTE enterprise. Some new leaks show that Anthropic is working on a schedules feature for its always on upcoming Claude Conway agent.

Google rolled out their Ask Ad Manager beta, an AI agent for custom insights and troubleshooting for Google ads. Like I said, GPD-56 and Gemini 3.5 are likely around the corner. Codex, this is a big one, released their record and replay workflow capture for Mac, so excluding some countries. And I do believe I'll have to check again at the newsletter. Most of the times, either on Friday or Monday. I'll ask you guys what you want for our Wednesday show, which is a hands-on demo.

And I do believe that the new Codex record and replay won, which I was surprised. I thought Claude Design was going to win our poll. But it seems like everyone wanted the new record and replay feature, which is really cool. Google Gemini co-lead, Noam Shazir, left for Open AI after Google acquired or Aquahired him and his group from character AI. This is a pretty big one, right? So one of the original authors on the attention is all you need paper that led to the transformer, right? So one of the OGs of AI leaving Google Gemini after they spent $2.7 billion to join OpenAI. Another big get for Open AI this week, former White House AI advisor, Dean Ball, joined Open AI to lead Frontier AI policy team.

So some big hires for Open AI after Anthropic landed on top. Drake Arpathy a couple of weeks ago. Speaking of Anthropic, they released their ClaudeCode artifacts, which allows teams to share live coding artifacts for collaborative and interactive sessions. So very similar to codex sites. XAI, oh, already covered that one. Copilot, co-work is generally available. Like I said, downside, though, is usage-based pricing.

And last but not least, Google released the open knowledge format. So kind of an alternative or what could, theory be an alternative for in agentic communication system. So instead of markdown files, you might have OKFs if a lot of people adapt this. So that's it. That is a wrap for the AI news that matter. So y'all, I'm telling you, this is happening so fast and the pace is only going to pick up. All right. So you probably shouldn't be spending like four or five hours every single day, right, taking all this work home for you. That's what I do. So make sure. sure I try to keep these podcasts 30-ish minutes, right?

Even faster if you listen on 2X. So make sure you subscribe to the podcast, but you really need to be reading our newsletter. So make sure you go do that at your everyday AI.com. So thanks for tuning in and FYI. If you are new here, Mondays, we do our AI news that matters. Wednesdays, we go hands on with a kind of live demo with our AI at work on Wednesdays. Friday, we go over Friday features, which are new features that you can actually go use today. and I kind of give you the 101.

And then Tuesdays and Thursdays, we rotate what those shows are. So if you're new here, that's kind of our weekly lineup. 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.

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