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AI Model Access, Regulatory Impact, and Competitive Shifts: What Business Leaders Need to Know
This past week, the AI landscape underwent a shakeup that directly affects organizational access to advanced models, regulatory oversight, and strategic technology investments. Key developments included OpenAI and Anthropic implementing restricted model releases after government intervention, new model tiers being introduced, and evolving approaches by major technology players like Google and Microsoft. These events collectively signal a turning point for businesses relying on state-of-the-art AI tools, demanding new strategies to maintain competitiveness and operational efficiency.
Regulatory Oversight and Limited AI Model Access
A highly specific regulatory action has temporarily disrupted the customary release of "frontier" AI models by leading firms. OpenAI's GPT 5.6 and Anthropic's Mythos 5 and Fable 5 were initially expected to be widely available but are now limited to a selection of trusted organizations. This constraint came after explicit requests from the US government, driven by concerns over the capabilities of these new models and national security interests. Notably, even Anthropic's Mythos 5 is now accessible only to about 100 companies and one federal agency, while broader availability remains suspended as the government assesses safety frameworks and model guardrails 02:50.
For business operators, this introduces important risk, compliance, and competitive factors. AI model access is no longer simply a matter of purchase or subscription; government directives can now determine eligibility and timing. Organizations leveraging advanced AI must closely track both regulatory trends and vendor roadmaps, as sudden changes may impact workflow automation, cybersecurity posture, and resource allocation 06:14.
AI Model Tiering: OpenAI and Anthropic’s New Approach
OpenAI introduced a tri-tier model naming convention: Sol (flagship model with maximum reasoning and ultra modes optimized for complex workflows in coding, biology, and cybersecurity), Terra (balanced for routine use), and Luna (prioritizing speed and lower operating cost). This mirrors Anthropic’s three-tier structure, which creates a segmentation of AI capabilities by class—effectively moving away from true model democratization. GPT 5.6 Sol, for instance, reportedly outperforms Anthropic’s Mythos 5 in coding with significant efficiency gains, using about one-third the output tokens for similar tasks 04:41. However, these advantages are presently constrained by access limitations.
Strict access criteria and tiered capabilities also introduce a "digital divide" in business AI adoption. Rather than universal access, only select organizations will benefit from best-in-class models, while others may need to work within the bounds of less advanced alternatives 08:17. This distinction is poised to affect innovation cycles, especially for organizations in technology, biotech, financial services, and cybersecurity.
Security Guardrails and Evolving Safety Requirements
Another notable shift involves how model safety and security are being handled. OpenAI is transitioning from secondary filtering to embedding guardrails directly into model architecture, following feedback on Anthropic’s previous practice of re-routing risky prompts to legacy models 07:08. Built-in defenses are now specifically designed to resist jailbreaks and prioritize defensive cybersecurity, which could reduce vulnerability to misuse across sensitive business domains.
Such structural changes in model design not only address evolving regulatory expectations but also reshape organizational risk management strategies. For enterprises in regulated industries or those processing sensitive data, these enhancements may serve as primary factors for supplier selection and AI deployment policies.
Talent Strategies and Competitive Positioning in AI
The competition among major technology companies reached a new phase, with Google establishing a permanent "mid-training" team focused on AI coding proficiency after losing significant in-house talent 14:19. The new training approach goes beyond code syntax to emphasize the model’s ability to execute multi-step engineering tasks and tool use with minimal human supervision 14:45. This shift highlights the growing strategic importance of AI coding assistants and the need for businesses to monitor both vendor progress and workforce AI adoption rates, as differences in tool sophistication can materially influence productivity 15:02.
Workforce Impact and Targeted Upskilling Initiatives
A new nonprofit, RaiseUS, has secured major funding from leading technology companies to advise US states on preparing local workforces for AI-driven disruption. Early partnerships include Arkansas (developing AI-powered career navigation for students and job seekers) and Maryland (expanding service year opportunities in sectors like healthcare and education) 18:45. These state-level collaborations are already putting practical workforce transition policies into action, including wage insurance and compensation mechanisms to mitigate the impact of job changes.
For executive teams, this signals both opportunity and necessity: organizations must proactively develop internal AI upskilling programs and engage with relevant public-private initiatives to maintain talent agility and minimize operational disruptions due to job transitions 19:36.
Industrial Espionage: Chinese Model Distillation and Implications
Anthropic has alleged that Alibaba orchestrated extensive model distillation efforts, using approximately 28 million queries from thousands of fraudulent accounts to clone model behavior 20:56. This activity, described as industrial-scale IP theft, brings renewed urgency to safeguarding proprietary models and data pipelines. The current environment, shaped by export controls and limited model access, could further incentivize such activities, with both security and competitive implications for US-based enterprises utilizing AI 21:55.
Chip Efficiency and Infrastructure Investment
OpenAI and Broadcom have announced "Jalapeno," a custom chip purpose-built for AI inference, targeting efficiency improvements in speed, memory, networking, and power consumption 25:24. The nine-month development window and imminent real-world testing point to rapid infrastructure evolution, enabling AI providers to support larger user bases while reducing operational costs. This development may directly lower the total cost of ownership (TCO) for organizations reliant on high-volume AI inference, while also mitigating supply chain exposure tied to traditional GPU suppliers 26:26.
AI Ecosystem: Noteworthy Rapid Developments and Best Practices
In summary, the current state of the AI industry reveals:
Ongoing lawsuits and licensing discussions impacting data sourcing and IP risk (e.g., 400 newspapers suing OpenAI and Microsoft over content use) 27:06.
Vendor partnerships and exclusivity in hardware and model access (e.g., Qualcomm-Meta, Chevron-Microsoft, Micron-Anthropic) 27:12.
Introduction of new workplace AI utilities (e.g., Copilot in Excel, Claude Tag for Slack, Canva’s AI ad platform, Google’s Gemini upgrades) 29:43.
Shifting IPO strategies and product line investments among core industry suppliers 28:27.
Organizations must now operate with the understanding that AI access, capability, and compliance are dynamic variables. Strategic attention to model tiering, supplier roadmaps, governmental interaction, IP risk, and targeted workforce adaptation will define competitive differentiation in the coming quarters.
For more updates and actionable analysis, ensure continued monitoring of industry developments and align internal strategies with the nuances of model access, chip infrastructure, and workforce partnerships outlined above.
Topics Covered in This Episode:
- OpenAI GPT-5.6 Limited Release Explained
- OpenAI Sol, Terra, Luna Model Naming
- US Government Restrictions on AI Rollouts
- Anthropic Mythos 5 Access and Standoff
- Anthropic Fable 5 Suspension Details
- Google Gemini 3.5 Pro Release Delayed
- Google's AI Coding Mid-Training Initiative
- RaiseUS Nonprofit: AI Workforce Adaptation
- Anthropic Accuses Alibaba of Model Distillation
- OpenAI & Broadcom Unveil Jalapeno AI Chip
- Key AI Industry Partnerships & Product Leaks
Episode Transcript
Jordan Wilson [00:00:16]:
This June was supposed to be the start of hot AI summer. That's because earlier this month, Anthropic released its Mythos five and Fable five models to the general public, and we were supposed to have an avalanche of other Frontier models released to all. Google was slated to release Gemini 3.5 pro, and OpenAI was on board to drop GBD 5.6 all this month. And although we technically did kind of get the g p t five release from OpenAI late Friday, it's not exactly the hot AI summer we were promised. That's because Anthropic's heavy capabilities hypings of Mythos caused the US government to step in, and now we're at the end of June with no general availability to the promised frontier models from any of the big three companies. Although we do have some updated news because Mythos five and the new GPT 5.6 have started to roll out, but only if you work at a select few companies. So that's the big AI news of the week, but there's a lot more that we're gonna get you caught up on. So if you don't have hours every single day trying to understand what's happening in the AI world and how it impacts your business, don't worry.
Jordan Wilson [00:01:37]:
That's what I do every single day. And then on Monday, we bring you the AI news that matters. So let's get into it. If you're new here, welcome. My name is Jordan Wilson, and this is Everyday AI. It's a daily livestream podcast and free daily newsletter helping everyday business leaders like you and me not just keep up, but how we can use all of this information hidden between the headlines to get ahead and grow our companies and careers. So it starts here with the unedited, unscripted livestream podcast. But please make sure if you haven't already, subscribe to the podcast on Apple Podcasts and Spotify, and then go to your everydayai.com.
Jordan Wilson [00:02:13]:
We're gonna be recapping all of the highlights from today's show as well as all of the other AI developments you need to know to make good decisions for your company. And, yeah, there's gonna be a lot new, I'm guessing, updates from today, with the updates to the anthropic mythos release, then pullback, then rerelease, and now we have GPT five, six, and three new variations. So, let's start there, shall we? Because we do have a new leading model from OpenAI, but, unfortunately, looks like hardly anyone has access to it. So OpenAI says it is limiting its early access to its newest GPT 5.6 models to a small group of trusted testers after requests from the US government, raising new questions about how much control Washington should have over advanced AI releases. So OpenAI says the first preview of g b t 5.6 is restricted to partners whose participation has been shared with the US government rather than their normal, kind of release cycle of just opening it up to millions of users right away. So aside from this kind of new ish way to roll out models, which is just going to selected few, OpenAI also has a new naming scheme. So here we go. We have Sol, which OpenAI calls its flagship and most powerful model.
Jordan Wilson [00:03:40]:
Then we have Terra, a more balanced version for everyday use. And then we have Luna, which is a faster, lower cost option option. So, similar to the older anthropic three tier naming capabilities, it looks like that's what we're gonna have from OpenAI moving on. So, what that means is, well, you have your sun, your earth, and your moon in that order. So Sol is the, the big heavy, model. Then you have Terra, which is kind of the in between or the old sonnet from Anthropic if you're used to that naming mechanism. And then you have Luna, right, our moon. That's the faster, lower cost option.
Jordan Wilson [00:04:20]:
So, yeah, think of your globe, you know, sun, earth, moon. Yeah. We're gonna have to start memorizing these things. So OpenAI says also that soul adds a max reasoning mode and an ultra mode that uses coordinated sub agents for very complex tasks, especially in coding, biology, and cybersecurity. So the company says GPT 5.6 Sol is slightly better at coding workflows than Anthropics, Claude, Mythos five, while using about one third of the output tokens. That is the big news there. So, we don't have full benchmarks on the new GPT five six Soul, but it looks like from what OpenAI shared, it does look like it's in the Mythos and Fable range on some benchmarks. On some benchmarks, Infropic is ahead.
Jordan Wilson [00:05:10]:
So we'll see when it comes to third party, analysis like artificial analysis or, the LM or formerly LM arena. So we'll see where it clocks in, but it looks like it's probably a little bit below, kind of true mythos, level. So maybe it's more in the Fable five, area, which is mythos without all earths with that is mythos, with guardrails. So, yeah, it's super confusing now, right, because, three weeks ago, we didn't have mythos and fable and Sol and Terra and Luna. Right? So now we have not only this new tier of maybe AI not being truly democratized anymore, and it's gonna be, you know, who knows if the general public will ever get, access to mythos. Maybe it'll just be a limited availability with, Fable, and seems like there's some rumors circulating that, you know, in the future, you might actually have to show US citizenship to use some of these, models. So we'll see where the US government lands with that. But it is gonna be one of the hottest topics.
Jordan Wilson [00:06:14]:
But, regardless, it looks like a very promising release from OpenAI. So the Trump administration has tightened the oversight of Frontier AI releases, and Dean Ball, a former White House AI adviser and now recently hired by OpenAI, says a recent executive order has effectively created an involuntary licensing system for most advanced models. So Ball argues that if the government does not define clear safety guardrails, AI launches could face repeated delays, which could slow US competition with China and complicate larger infrastructure investments. So OpenAI says its new models include stronger built in security with defenses meant to resist jailbreaks and to prioritize defensive cybersecurity to help offensive misuse. OpenAI also says it is moving away from a separate filter system and toward safety guardrails built in the model itself after backlash over Anthropic's earlier approach of routing risky prompts to older models. So, yeah, we'll see. Right? OpenAI said they hope to roll out access to the new GPT five six family, to everyone in the coming weeks. We'll see where we land with that because, Anthropic, as an example, when they had to pull Fable five access, which they released to all paid users, they said that they would have some sort of communication update in twenty four hours.
Jordan Wilson [00:07:47]:
It's been more than two weeks, and we don't have an official word from Anthropic. So OpenAI kind of promising the g b t five six rollout to more people, in the coming weeks. They were pretty, pretty forthright in their announcement talking about some of these complications, of rolling this model out and kind of this new reality we live in now apparently, which is, AI is no longer at least temporarily, maybe permanently, truly democratized. And there may be a tiered system in terms of who has access to what level of intelligence. Alright. Sticking with a similar story, well, Mythos is starting to be rerolled out, but only to trusted users. So, yeah, a lot of action on Friday. So this was, I believe, shortly after, OpenAI announced GPT five six and its limited release to trusted testers.
Jordan Wilson [00:08:44]:
So now the US government on Friday, apparently is allowing Anthropic to reblease its Mythos five models to only about 100 companies and a federal agency, marking a key shift after a two week standoff with the Trump administration. So the commerce department, according to reports, said in a letter that appropriate safeguards are in place for certain trusted partners to access the Claude Mythos five models, which suggests the government is still limiting broad access to Mythos five and, well, Fable five. Because the approval does not cover Anthropic's Fable five model, meaning the company still does not have permission to restore access to its newest, most advanced release. But, you know, obviously, that could change any hour, any minute. So, you know, make sure that you check today's newsletter. It's funny because actually on Friday, you know, we always do AB test in the newsletter. So I sent the AB test, and then literally three minutes later, we got the, the release or or or the news from OpenAI. So, you know, we'll see if there is any, new update, at least when it comes to Anthropic.
Jordan Wilson [00:09:54]:
But Anthropic has disabled access to both Fable five and Mythos five earlier this month after an export control directive cited national security concerns and ordered access suspended for foreign nationals, which included foreign national employees. So the move came only days after Anthropic unveiled the models and said Fable five was its first public release of such an advanced system. Backed by new safeguards, the company said blocked responses in high risk areas. So, essentially, Anthropic after that directive from the US government said, well, there's no way to actually do that, so they had to pull the model worldwide, and that's where we still stand aside from this new update of, apparently, the US government is letting those, roughly 100 companies and federal agencies get access back to Mythos. So, Anthropic's negotiations with the Trump administration have also reportedly shifted from CEO Dario Amati to cofounder Tom Brown Brown, underscoring how serious and sensitive the talks have become. So, yeah, this one was kind of interesting to see according, to reports. There were some White House officials, that, alluded that Dario was being a weirdo, and they couldn't really get talks going with him. So instead, Anthropic cofounder, Tom Brown, was tapped in for negotiations.
Jordan Wilson [00:11:24]:
And it seems like at least from Anthropic's point of view, things are going better than they were at least last week or for the rest of June. The company has also faced pressure from the defense departments, which previously labeled Anthropic a supply chain risk, a rare designation usually reserved for foreign adversaries. Anthropic has sued the Trump administration over that original, blacklisting, and the legal fight is still ongoing, adding another layer of uncertainty around the company's government business. 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 ten 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.
Jordan Wilson [00:12:30]:
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 six ninety one. Number two, 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. Alright. So back to the other, AI company as part of the big four.
Jordan Wilson [00:13:18]:
Right? We have OpenAI, Anthropic, Google, and Microsoft. So we just talked about where, OpenAI and Anthropic stand with their latest models. Now what about Google? Because at last month's Google IO conference, when they announced and released their Gemini 3.5 Flash, they said that their big model, Gemini 3.5 Pro, would be unveiled in June. And here we are in the last hours of June, and we don't have any new model from Google yet. So according to reports, it is kind of the, pressure now from the US government to get this model approved, but there's also allegedly some other things going on behind the curtains at Google. So according to reporting from the information in other outlets, Google is turning its short term AI coding strike team into a permanent mid training group to help close the gap with anthropic and AI assistant coding development. So, this move matters because Google appears to be reshaping how it trains Gemini, shifting from relying mostly on broad pretraining and fine tuning to adding a formal middle training stage with specialized coding data. So that stage is called mid training, and it's meant to teach the model more than code syntax, including how to work through larger engineering tasks, tool use, and multi file code understanding.
Jordan Wilson [00:14:45]:
So the reorganization follows pressure from Anthropics Claude Code, which has become a major competitor in AI coding, where internal estimates reportedly put Google engineers at about 50% AI assistance versus nearly a 100% reportedly at Anthropic. The timing is also tied to key talent loss with several notable researchers in engineering in engineers leading Google's four rivals, including, Jonas Adler, Alexander Pritzl, John Jumper, and Noam Shazier according to reporting. So, yeah, Google has kind of lost an all star team of AI engineers over the past few weeks, which led to them reportedly turning this strike team. Right? So it's kind of a different variation of these code reds. You hear these companies, you know, push out internally when it's like, oh, it seems like we're kind of a high. We better call a code red. So that's kind of the equivalent of what this strike team is. Right? They said, hey.
Jordan Wilson [00:15:48]:
Couple months ago, according to reports, that they realized internally that they were falling behind on coding, so they developed what was supposed to be a temporary coding strike team. And now, apparently, that, you know, kind of realization that maybe they're a little further behind, on coding. This is according to reports, not according to me or my views. Right? So that combined with losing some major talent. I mean, those are some names if you follow AI. I mean, those are some of the OGs of AI. So, Google originally formed that team in April, to speed up Gemini's coding abilities. So, yeah, it could be a long term thing.
Jordan Wilson [00:16:33]:
And the updated roadmap now goes beyond simple code completion and is aimed at long running engineering agents that can carry out multi step tasks over time with less human supervision. So, yeah, we'll see, what happens, and we'll be continuing to follow, all these developments from Google because, yeah, they did publicly say in May that Gemini 3.5 Pro would be out next month, which is June. Right? And how many days we have left of June? We have, I don't know, about thirty some hours left of June. So we'll see if we get an official announcement from Google. I would expect, no, we won't just because of this new climate that we are now living in. Alright. Our next piece of AI news, a group of AI, juggernauts and former government workers have combined to create a new nonprofit helped at, well, raising up the employability of workers. So, a new nonprofit called RaiseUS says it has already raised $500,000,000 toward a $1,000,000,000 goal to help states in The US prepare for AI related disruption.
Jordan Wilson [00:17:48]:
So the group is being led by former commerce secretary, Gina, Gina Raimondo, who said The US has a tech strategy for AI competition, but still lacks a clear people strategy for workers. So RaiseUS is based by major players in tech and AI, including the OpenAI Foundation, Anthropic, Amazon, and Microsoft, which are serving as anchor partners. So the nonprofit says it will build a national platform to advise state governors on how to prepare local workforces for AI driven change with a focus on practical policy and training models. So far, there are some notable state partnerships already. Right? Kind of hours after we got wind of this new group. So the first state partnerships are all already underway with Arkansas, Connecticut, Maryland, and Utah split evenly between Republican and Democratic led states. In Arkansas, RAISE US is working with governor, governor Sarah Huckabee Sanders on Arkansas launch an AI powered career navigation platform that would connect students and job seekers to personalized learning and employer linked career paths. In Maryland, the group is working with governor Wes Moore to expand its service year opportunities for recent high school graduates in fields like health care and education.
Jordan Wilson [00:19:09]:
Utah is a notable test because the state has been forced into the national spotlight over the build out of AI data centers, showing how AI expansion can create both job and infrastructure tensions. So RAISE US says more states are expected to join in the coming months and also wants to test policies such as short time compensation and wage insurance that could soften the blow of job changes. So the effort comes as debate continues over how much AI will affect the labor markets. As we know, we heard, kind of some, wild, kind of predictions such as that from Anthropic CEO Dario Amati, who originally said that AI would disrupt up to 50% of white collar jobs, which obviously didn't happen, and he could have had to adjust or update his stance on that. But regardless, we are already seeing in 2026 an unprecedented, impact of AI on full time jobs. So, it's good to see a company come in and address the human side, which I've always said since I started this podcast three and a half years ago that AI implementation is much more about people in man people management, change management than it is about, you know, traditional tech implementation or digital transformation. So alright. Our next piece of AI news, we have a fresh accusation of anthropic pointing their fingers at the Chinese saying you stole our models.
Jordan Wilson [00:20:40]:
So according to CNBC, Anthropic sent a letter this month to the senate banking committee accusing Alibaba of carrying out what it called the largest known distillation attack on Anthropic's AI models. So Anthropic said the activity involved about 28,000,000 exchanges through roughly 25,000 fraudulent accounts between April and June, which it says points to a large scale attempt to copy its model behavior. So the company told lawmakers that operators linked to Alibaba and its AI Lab were behind the efforts framing the issue as a major example of AI model theft rather than normal competition. So distillation is a process, if you don't know, where a smaller model learns from the outputs of a stronger one, but Anthropic is accusing the Alibaba linked effort of using that method to, well, just steal all of their work and infuse it into Alibaba's models. Anthropic said fighting this kind of AI copying will require coordination between government and industry and that it wants Washington to help protect US leadership. So, according to reports, the letter comes two months after the White House Office of Science and Technology Policy said it would help AI companies in The US detect and respond to industrial scale distillation attempts. Anthropic said Alibaba's actions ignored the Trump administration's warnings, making the disputes part of the bigger US China technology and national security fight. So this is definitely a big story to keep a watch on because, well, this also impacts what models your company may or may not be using.
Jordan Wilson [00:22:31]:
So last week, make sure you go check out, our start here series if you haven't already. But in episode, which one was that? In episode 29 of the start here series, which was episode 804 of everyday AI, we talked about a new open source model called GLM five two, which may be the first time we have a Chinese open weight or open source model that is almost at the frontier level. So it's gonna be pretty interesting, and I think this, probably deserves a larger conversation if the access to true frontier models is no longer actually democratized. Right? If 99.9% of US workers, at least right now, right, can't access Anthropic's fable. They can't access, Anthropic's mythos. They can't access right now, at least, maybe that might change in a week or two. They can't access, you know, GPT five, six, soul. So when you have these other Chinese models that are starting to get in that tier, right, I wouldn't say they're in the tier of GPD five six and Mythos, but they're in the tier right below.
Jordan Wilson [00:23:40]:
Right? Which is, well, models available to every single person. Right? So that's g p d five five and Opus 4.8 from Anthropic. So as you get these Chinese models, right, whether they're from Alibaba, they're from z AI, whoever they are that are starting to get in that tier of the best publicly available models, it is an important conversation to keep an eye on. So distillation, it's it the combination of distillation and maybe these frontier systems only be being available to the select few, creates for a very interesting and mixy sorry, a potentially, explosive combination, right, in terms of what models your company should use and, well, what it means for revenue of companies like Anthropic who are preparing to go public. Alright. Our last big piece of AI news this week is chip news. Yeah. Because OpenAI and Broadcom have unveiled Jalapeno, a custom chip meant to run large language models more efficiently with deployment expected to happen later this year.
Jordan Wilson [00:24:48]:
So the big picture goal for OpenAI and Broadcom was to make an AI systems, to make their AI systems cheaper and faster and less power hungry to run at scale, which matters a lot because energy and computing costs are becoming major limits for AI companies and their ability to provide, frontier AI models to the broader enterprise, lens. So with this new chip partnership, OpenAI's first, OpenAI says jalapeno is built specifically for AI inference. Meaning it is designed to help models answer questions and serve users rather than train them. Right? So, obviously, on the training side, NVIDIA's GPUs have been the industry standard for a long time. This chip is specifically built for inference, like all of the back and forth that OpenAI needs when, up up to a billion users each week are using their services. So the companies say the chip is aimed at the hardest parts of the AI service, including speed, memory use, networking, and reducing wasted compute. So OpenAI and Broadcom claim that the chip will be more efficient than current leading hardware, but they have not shared benchmarks or hard performance numbers yet. Images shared by the company suggest a very large chip with multiple memory modules, which points to a serious effort to handle heavy AI workloads.
Jordan Wilson [00:26:16]:
So the companies say early samples are already working in the lab, which is a crazy fast turnaround, and OpenAI says it is testing real workloads on the chips now. OpenAI and Broadcom also say the chip was developed in just nine months, which is much faster than typical, typical chip development and shows how quickly AI infrastructure is being pushed forward. Alright. So that's a wrap for our major big stories of the week. But let's quickly move into what's new and what's next. So this is a bullet point roundup of everything else noteworthy that either happened last week or is happening this week. So it's a mixture of smaller news stories, maybe some leaks and rumors, but let's get straight into it fast bullet point style. Here we go.
Jordan Wilson [00:27:06]:
So nearly 400 newspapers have sued OpenAI in Microsoft over content. Qualcomm and Meta announced a multi generation data center, GPU partnership. Chevron signed a twenty year Microsoft power deal for AI data centers. Meta launched a $299 pair of AI glasses, in line with SLR Luxottica, the famous I brand maker that I probably did not pronounce correctly. Google reportedly limited Meta's access to Gemini AI models over capacity shortages. Elon Musk says that XAI's new 1,500,000,000,000 parameter GRAC 4.5 has begun private beta testing. So we'll see if they have to go through the normal, government, hoops, jumping through those or if they'll be able to release it. Micron and Anthropic signed a memory deal to help scale Claude.
Jordan Wilson [00:28:05]:
Apple's VP for Vision Pro and Smart Glasses is leaving for OpenAI's hardware unit according to reports. Leaks show that OpenAI is testing computer use with Excel and PowerPoint add ins in codex, which will be an interesting update. Google, inside of notebook l m, added fully customizable flashcards for users to edit and share. OpenAI reportedly is weighing a 2027 IPO instead of '20 26 after some recent SpaceX volatility. In an internal study, OpenAI said codex accounted for 99.8% of internal weekly AI output tokens, which is a wild percentage. Almost a 100% of their output tokens internally are in codex, not in their chat GPT service. OpenAI released Daybreak cyber tools, including g p t five five cyber and codex security updates. OpenAI released a refreshed g p t 5.5 instant model with better conversation and handling and constraints.
Jordan Wilson [00:29:06]:
Google launched Google Finance in general availability with portfolio tracking and AI research tools. Google released Gemini for home smart speakers for natural voice conversations. Anthropic launched Claude Tag in Slack, which is kind of like a manager per Slack channel that can do anything that, Claude can do. Canva released Canva Grow two point o for AI ad creation, publishing, and optimization. Google added select from screen in Chrome's Gemini sidebar after they updated their Gemini 3.5, Flash to have computer use capabilities. Microsoft added Copilot skills in Excel for repeatable task automation, and a new DigitalOcean plug in for codex entered public preview for remote cloud dev machines. Alright. That's a lot.
Jordan Wilson [00:29:56]:
And I can almost guarantee you this week is going to move even faster than last week because y'all this everything with OpenAI and anthropic in terms of GBD $5.06 and the three tiered, system, the government, kind of asking them to hold it back, the rerelease the slow rerelease of anthropic mythos. All of this just happened Friday. So I expect a ton of new developments that you need to be paying attention to. So don't spend hours every single day sitting around your boardroom talking about AI strategy and looking at that day's news. Right? Just let me do that for you. Then join us on Mondays as we bring you the AI news that matters. If you're new here on Wednesdays, we go hands on. We usually do a demo.
Jordan Wilson [00:30:40]:
So make sure you check out today's newsletter so you can let us know what you wanna see on that show. On Fridays, we go over fresh, AI features that are available to everyone. And then on Tuesdays and Thursdays, we rotate the type of show. So, please, if you haven't already subscribed to the show on Spotify and Apple Podcast, then go to youreverydayai.com. Sign up for the free daily newsletter. Thanks for tuning in. We hope to see you back tomorrow and everyday for more everyday AI. Thanks, y'all.