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WWDC AI Announcements, Executive Orders, OpenAI Business Moves: Pinpoint AI Insights for Business Leaders
AI developments are accelerating at a pace where business stakes are often defined by how quickly leaders adapt, not just whether they do. Several pivotal announcements—from Anthropic's warning on AI speed, Microsoft's multi-pronged AI launches, key U.S. government executive orders, to OpenAI's super app ambitions—transpired ahead of Apple’s WWDC. Below, actionable, concrete insights are distilled directly from the most recent discussion on these fronts for business owners, decision makers, and other LinkedIn readers aiming for clarity amid AI’s shifting terrain.
Anthropic AI Safety Proposal: Implications for Enterprise and Market Competition
The conversation focused on Anthropic's warning that AI labs may need to coordinate slowdowns or pauses in the development of frontier AI systems as internal model capabilities now outpace societal and regulatory preparedness. Anthropic did not call for an immediate halt but emphasized the need for mechanisms to slow innovation if risks exceed available safeguards. According to their data, more than 80% of new code at Anthropic is now produced by their Claude AI model, with engineers merging eight times more code daily in Q2 2026 comparisons to 2024.
From a market standpoint, several points were raised, including skepticism that this call for coordination could serve as a strategic lever to lock in Anthropic’s momentum just as an IPO approaches and possibly clamp down on faster or open-source competitors. Current enterprise buyers should evaluate whether vendor advocacy for regulatory pause accompanies underlying business ambitions.
U.S. Executive Orders on AI: Security, Voluntary Model Submission, and Federal Positioning
A key theme that emerged was the new executive order asking top AI companies to voluntarily submit advanced models for federal testing within 30 days before public release, emphasizing cybersecurity and model capability benchmarking. This order is voluntary and does not mandate licensing or pre-clearance, striking a balance between government oversight and business agility.
While narrower than earlier drafts (which suggested 90 days’ advance notice), the order reflects the federal government’s concern that AI models could be weaponized in cyber conflicts. Businesses operating in regulated or global markets should note that the primary intent appears to be developing foresight on what models adversaries might soon deploy—in effect, national security vigilance rather than burdensome regulation. Enterprises using frontier AI systems should pay close attention to evolving disclosure practices that could become standard.
Microsoft Build Announcements: Agents, Custom Hardware, and Enterprise Model Competitiveness
The discussion explored Microsoft’s unveiling of the “autopilot” category—pragmatic AI agents under the Scout rollout, currently in private preview for organizations with GitHub Copilot licenses. Scout works autonomously within the Microsoft 365 ecosystem (Teams, Outlook, OneDrive) to handle real tasks such as meeting prep, follow-ups, and schedule coordination, moving beyond prompt-based copilots.
In parallel, Microsoft introduced in-house MIAI models like MIAI Thinking One with 35B parameters for long-context work and code generation. While these models trail the cutting edge by six to eight months, the ability to scale through infrastructure enables rapid catch-up; enterprises should expect their quality to rise quickly. New RTX Spark laptops and dev boxes powered by NVIDIA, with estimated prices for powerful AI laptops speculated at $45k, signal a coming shift toward more on-premise AI workflows for data-sensitive industries.
Apple WWDC and Siri AI Plans: Practical Outcomes and Caution for Buyers
The anticipated WWDC brought heightened scrutiny, particularly due to Apple’s history of announcing, but not delivering, on promised AI features—leading to a $250M legal payout for failed feature rollouts in the past. This year’s focus is a major Siri overhaul: on-screen awareness, standalone chatbots, and integration with external models (notably Google's Gemini) are expected.
Notably, many AI features may run on third-party infrastructure (Google Cloud, NVIDIA chips) rather than Apple’s own, revealing potential vendor lock-in risks for privacy- and compliance-minded enterprises. New upgrades are likely to require new Apple hardware, reinforcing a historic pattern of tying AI advances to device upgrades—a critical detail for budgeting and roadmap planning. Businesses dependent on the Apple ecosystem should proceed with clear expectations and reserve investment until practical, tested features are available.
OpenAI Codex Super App: Immediate Business Efficiency Gains
The discussion highlighted OpenAI’s major push to integrate Codex into the ChatGPT app, rolling out six new plugins targeting sales, data analytics, creative production, product design, public equity investing, and investment banking. These tools—already available—bring seamless data integration from platforms like Snowflake, Salesforce, Figma, Canva, and Tableau.
Of particular business value, new features like document annotation and “Sites” enable real-time collaboration and instant deployment of secure, database-powered web apps, potentially streamlining IT build-outs for many business functions. These tools are immediately operational and can deliver productivity improvements for teams without additional infrastructure investment.
Federal Government Equity in AI: Potential Structural Shifts
A significant segment was devoted to the federal government’s exploration of taking direct equity stakes in leading AI companies. Proposals inspired by tech executives and policymakers range from voluntary stock grants to government-run funds, to possible citizen profit shares or “child-oriented IRAs.” Other, more aggressive ideas would see a one-time 50% tax in stock and voting rights from AI leaders.
While early-stage and possibly tied to election-year positioning, such moves—if enacted—could significantly affect public-private partnerships, influence on corporate boards, and the flow of AI-generated wealth. Decision makers should monitor this dialogue as it may impact future funding, regulatory requirements, and even employee incentive strategy.
Fast-Evolving AI Landscape: Implications for Business Roadmaps
Several points were raised, including the near-term emergence of new flagship models from OpenAI, Anthropic (Mythos), and Google (Gemini 3.5 Pro), which could affect enterprise AI procurement within weeks. Meanwhile, reports documented AI agents now generating more web traffic than humans, and ChatGPT crossing the one billion weekly active users threshold—practical reminders of the volume and scale at play.
OpenAI’s models are now available on AWS Bedrock, unlocking easier integration for AWS-reliant organizations. Layoffs attributed to AI-driven automation reached 38,000 in May, underscoring the necessity for leaders to tie AI adoption to careful workforce planning and upskilling.
Summary: Specific Next Steps for Business Leaders
Examine vendor calls for regulatory actions with a lens toward market positioning, not just safety.
Prepare for voluntary, but increasingly standard, federal AI model disclosures if operating at scale or in critical sectors.
Prioritize investments in AI features that align with both immediate workflow improvement and available tech infrastructure (e.g., plugin-based workflows, on-prem hardware where needed).
Treat announced, but not yet proven, features (especially from Apple’s AI suite) with caution—wait for production use cases before wholesale adoption.
Monitor ongoing policy and regulatory proposals relating to government equity in tech, which could impact the strategic landscape.
The business value is not just in knowing what was announced, but in understanding how and when to shift roadmaps, partnerships, and risk management policies in response to evolving, concrete developments across the AI ecosystem.
Topics Covered in This Episode:
- Anthropic Calls for Frontier AI Pause
- Anthropic IPO Filing and Timing Controversy
- Trump AI Executive Order—Model Review Policy
- U.S. Government Considers AI Equity Stakes
- Microsoft Build: New Autopilot Agents Announced
- Copilot Super App and MAI Model Launch
- Apple WWDC AI Plans and Siri Overhaul
- Apple-Google Gemini AI Integration Rumors
- OpenAI Codex Business Super App Updates
- OpenAI Codex—Six New Business Plugins
- Codex Sites Feature and Plugin Integrations
- SpaceX IPO and XAI Merger Details
- Record SpaceX Valuation and Nasdaq Listing
- Cloudflare: AI Agents Surpass Human Web Traffic
- NVIDIA Nemotron 3 Ultra and AI Hardware
- ChatGPT Hits 1 Billion Weekly Users
- Google Seeks $85 Billion AI Investment
- OpenAI Frontier Models and AWS Bedrock Integration
- Microsoft Solera OS for AI Devices
- AI-Driven Mass Layoffs Reported in U.S.
Episode Transcript
Jordan Wilson [00:00:16]:
Hot AI summer continues, and it's probably about to get weirdly interesting and spicy all at the same time. Here's what I mean. I mean, we now have an executive order on AI safety, but it's not anything like the first proposal. Apple is hours away from announcing their actual real Apple intelligence, and we'll see if they actually deliver working AI or if they'll get sued again for $250,000,000 to failing in to do so. Microsoft just released everything under the sun when it comes to AI. Codex cooked up some big business moves, and there's a new venture firm on the block looking for a piece of all of the big AI tech labs. Okay. Well, it's not actually a BC firm.
Jordan Wilson [00:01:03]:
It's the federal government. And, yeah, they're actually looking for equity in all the big AI companies. I mean, blink twice and you'll be two months behind where AI is at today, and you'll have no clue where AI is headed. That's why we spend hours every single day keeping up with the AI news and developments that impact you, your company, and your career. Don't get caught spending time trying to do it. That's literally what we do, so you don't have to. Let's get into it. Welcome to Everyday AI.
Jordan Wilson [00:01:36]:
If you're new here, well, we do this every day. This is your daily livestream podcast and free daily newsletter helping business leaders like you and me not just keep up, but get ahead of all of the AI news and developments to grow your company and your career. So it starts here with the unedited, unscripted livestream podcast, but please make sure you go to your everydayai.com. Sign up for the free daily newsletter. We're gonna be recapping all of today's stories and a whole lot more. And while you're at it, make sure you please subscribe to our podcast on Apple or Spotify, wherever you listen to it. Alright. So on Mondays, we bring you the AI news that matters.
Jordan Wilson [00:02:12]:
On Wednesdays, we usually go hands on, with a demo on working Wednesdays. And then on Friday, we're just talking about new updates to different large language models. That's our, Fresh Friday features segment. And Tuesday and Thursday, we rotate a little bit. So it is Monday. Let's get into the AI news that matters. And my gosh, there is a lot. First, interesting timing here.
Jordan Wilson [00:02:38]:
Anthropic is warning that leading AI labs may need the option to slow down or temporarily pause the development of Frontier AI systems because the technology is advancing faster than society and safety researchers may be able to keep up with. So this warning came out late last week in a blog post from the Anthropic Institute, the company's research arm, which said AI is increasingly speeding up to the creation of new AI models and could eventually help build its own successors. So it's important to note that Anthropic did not call for an immediate pause, but it said the world should have a realistic way to slow frontier AI development if the risk begin to outpace safeguards, oversight, and public institutions. The company said any meaningful slowdown would require coordination among multiple leading AI developers and governments because a pause by just one company would do little if competitors kept moving ahead. So Anthropic framed the issue as a timing problem. Powerful technologies have been managed through coordinating agreements before, but building the trust monitoring systems and political will for that takes time, and the company warned we don't have that law. Doesn't sound doomsday y at all. So Anthropic's post, is pretty notable because it came the same week that Anthropic filed its draft s one paperwork.
Jordan Wilson [00:04:10]:
Yeah. So that means that they said, hey. We're officially going public. And then a few days later, they're like, hey. Our models are so good. We think maybe everyone should slow down. So Anthropic pointed to its own internal data as evidence of the speed of change, saying now more than 80% of the code merged speed of change, saying now more than 80% of the code merged into its code base is now written by Claude, and that its typical engineer was merging eight times as much code per day in the second quarter of twenty twenty six as 2024. I don't know.
Jordan Wilson [00:04:41]:
This isn't tongue in cheek, but maybe that's why they're uptimes like 98% and not like OpenAI's at 99.9, but that's just me. So critics are not taking it easy on Anthropic because they're saying that this whole verifiable slowdown plan is just a power grab to get governments to regulate their competitors, locking in Anthropic's recent momentum in the enterprise while hurting both open source and other faster labs. So critics also point out the timing. Yeah. Anthropic is kind of, according to critics, taking a fear mongering approach while talking about its model's capabilities in another attempt to drum up excitement for its upcoming IPO. So, yeah. I I don't know. This this one to me, I don't think you get to, you know, file your paperwork for IPO.
Jordan Wilson [00:05:35]:
And then, you know, like, a couple days later and be like, you know, maybe everyone, we should pause this. You know? What do you guys think about a pause? Again, just, I think, pretty terrible optics, from anthropic. Right? We've seen over the last year, you know, it's really turned into a, you know, kind of, it's anthropic versus OpenAI for the enterprise. Right? Google, even though they've done great with models, you know, Google and Microsoft aren't as much competing for the enterprise. They're really just competing for everything across the board. And it's become pretty clear over the last, you know, six months to a year especially, that Anthropic and OpenAI are fighting to the nail, to win the enterprise. So pretty interesting here, you know, as Anthropic has momentum, you know, they are probably, a week or two away from releasing Mythos. You know, their next model that they've said is so scary no one could use it even though the main bench that they led with called Cyber Gym was instantly defeated by Microsoft's Emdash.
Jordan Wilson [00:06:38]:
Anyways, to me, it seems just more like trying to pump the, the the IPO, train. That's what it seems like to me. But, regardless, I think it's something that's gonna be grabbing some headlines this week, so it's important for you to know. Alright. Next, speaking of AI safety and development, president Trump signed an executive order this week asking leading AI companies to voluntarily submit their most powerful models for federal testing up to thirty days before public release, marking a pretty big shift toward more federal attention on AI security risks. So the order that was just signed directs federal agencies to create benchmarks for measuring AI models' cyber capabilities, including whether systems can identify or exploit software vulnerabilities. So the White House also wants agencies to build an AI cybersecurity clearing house to review and share information about vulnerabilities, which could help government teams responds faster when AI related security problems are found. So the final order is narrower than an earlier version, which reportedly would have given the government up to ninety days to review advanced AI models before the companies would release them.
Jordan Wilson [00:07:56]:
And then, obviously, we talked about this last week. That was essentially cut down, by David Sacks among others. But mainly, right, I I think a lot of the big tech companies said that they're really only working with a thirty to sixty day timeline. So, you know, essentially, submitting a model to the government ninety days before your intended release doesn't always make sense because half the time, companies aren't a 100% sure what they're even going to be working on in ninety days. So it's important to note that this executive order is voluntary. It's not an actual law. It's not legislation. President Trump signed an executive order.
Jordan Wilson [00:08:35]:
So the order just says that it does not create a mandatory licensing, pre clearance, or permitting system for releasing AI models. The move just reflects kind of, tension also inside of the Trump administration, which has generally favored a lighter touch on AI regulation, but has faced some growing concern that advanced models could be used to strengthen cyberattacks, especially when you've and I've been talking about this and go listen to my, you know, 2026, you know, prediction series that we ran, I think, in late January. I do think whether it's this year or next year, I think most of the world will realize, that the new wars are going to be fought in AI, specifically on cyber. So it does make sense that the federal government wants to have some sort of understanding of what's going on across the board, and I do think it's probably a good compromise. This might be one of those instances where the federal government, the AI labs, and the general public may have all won. However, this is voluntary. Right? So that's another key thing to, to keep in mind. So the order affects just the major AI developers such as OpenAI, Anthropic, and Google, but any binding rules on AI model releases would still likely require action from congress.
Jordan Wilson [00:09:54]:
So, yeah, this is just more of a, you know, let's all shake hands and, you know, play play nice and, you know, let the federal government know just how powerful these models are because the importance of this is well, because this is in three to six months where The United States, you know, adversaries are gonna be distilling this information. So, you know, it's it's no secret that China's AI models are, for the most part, distilled, from, Frontier Labs here in The US. So I think that this is probably the biggest, kind of implication of this is, yes, they, the federal government can say they want this for safety, and I'm sure that is, you know, some aspect of it. But I think if nothing else, they want to know what ultimately models will be distilled from this. And so, you know, they essentially wanna know what weapons, you know, their adversaries are going to be using in six to twelve months against them on the cyber act. So I think that's something I haven't heard anyone talk or write about, but I think that's ultimately, what the White House is wanting here. And if that is the case, right, obviously, I think there's great, you know, again, from a US side, I'm talking about it from the, from that aspect. So I think there are great, pieces to this, executive order if the big labs follow it.
Jordan Wilson [00:11:15]:
But more than anything else, I do think this is a national security, kind of hope more than anything else. Alright. Microsoft just did the Oprah, and they said, you get a car, you get a car, you get a car. But instead of getting a car, you just got AI. You got AI everywhere. So Microsoft just wrapped up its annual build developer conference in San Francisco and announced new models, new capabilities, and co pilot AI powered hardware and more. So the most noteworthy announcements probably were the new autopilot's category. And so that is, essentially Microsoft's version of agents that work for you versus just a copilot that you would prompt.
Jordan Wilson [00:12:03]:
And they are starting this and kicking it off with an autopilot called Scout, which is designed to work in the background across Microsoft three sixty five tools like Teams, Outlook, OneDrive, SharePoint, calendars, and files. So Scout is meant to move Copilot from a tool that answers prompts into something closer to a proactive workplace assistant, handling tasks such as meeting prep, scheduling conflicts, follow-up reminders, task handoffs, and work coordination, or in other words, you know, the majority of the work that knowledge workers do and don't like. So the catch at least right now is Scout is a little bit limited just to, private preview customers in Frontier and who also have a GitHub Copilot license. So, you know, if you hear this and you're like, oh my gosh. I want this autopilot thing that can go out and scout all my information and do have my work for me. Well, you do have to be, in the private preview, in a frontier organization with a GitHub Copilot license. So that's not all. Microsoft also signaled that the Copilot super app is coming this summer as Microsoft CEO, Sadia Nadella, mentioned it only briefly in his keynote.
Jordan Wilson [00:13:18]:
Microsoft did spend a little bit more time though highlighting their new in house MAI models, including their new state of the art ish, MAI thinking one. That's a 35,000,000,000 active parameter reasoning model built for tasks like long context work, math, reasoning, and code generation. Plus, they have a new MAI code one flash for coding workflow. So, not really frontier level just yet. I'd say it's probably about six to eight months behind, which you could look at a company like Microsoft and be like, okay. You know, they have, you know, Azure server racks and, you know, GPUs and NPUs and TPUs coming out of their armpits. You know, why, isn't their brand new model amazing and, you know, at the actual frontier level. I mean, you have to remember.
Jordan Wilson [00:14:09]:
They started from scratch. And I said that the same thing about Meta. Right? So people looked at Meta's new spark, and they're like, oh my gosh. Meta spent teen billion dollars on this and, you know, couldn't even crack the top five on frontier models. And you can say the same thing about Microsoft's MAI models. But, again, to go from zero to even a top 10 ish or to go from zero to a model that's, you know, maybe six to eight months behind. When you're hearing me say that out loud, you might think that's not impressive, but it's actually extremely impressive. So and, obviously, companies like Meta and Microsoft, you know, once they do get these models, I think their ability to scale, right, essentially just throw more compute at something that kind of works.
Jordan Wilson [00:14:55]:
So, again, I wouldn't write meta or Microsoft out, but that wasn't the only thing Microsoft announced. They also which we covered briefly on last week's AI news that matter show because it came out. This was in, Computex. So it came out, like, an hour before our Monday show. But they did also partner with NVIDIA, to push out some new class of AI hardware, including the NVIDIA powered RTX Spark laptops and the Surface RTX Spark Dev Box, aimed at developers and companies that want to run AI tests locally instead of just sending everything to the cloud. No pricing on those yet. But again, I think when the pricing comes out, people are gonna be like, what? Because yeah. I'm guessing they're gonna be at least $45,000, yeah, for a laptop, but extremely powerful.
Jordan Wilson [00:15:44]:
So no. And I did do an episode on this, on Thursday, I believe. Yes. So if you do wanna know more about Microsoft Build conference, I was there covering it. So make sure you go listen to episode seven ninety one. Alright. Speaking of conferences, I will not be covering this one, but we are hours away from Apple into their worldwide developer conference. So, yeah, when I said it is hot AI summer, it is humid and sweaty when it comes to AI releases right now.
Jordan Wilson [00:16:18]:
So Apple is kicking off its worldwide developer conference or WWDC WWDC here in a couple hours as its stock nears record high, and investors are watching closely to see if the company can finally deliver anything that actually works in artificial intelligence. And when I say that, that's not an exaggeration. Apple has faced multiple class action lawsuits and had to pay out $250,000,000 in damages because they said two years ago that they were developing all these cool AI features that they announced at WWDC, and, obviously, they never happened at all. So Apple literally got sued, had to pay $250,000,000 because they promised something that they couldn't deliver. So although there's probably rumors about, you know, all these great AI things that Apple is gonna release today, I would take it with a $250,000,000 grain of salt in front of it. But the centerpiece, of the announcements today is expected to be a major overhaul of Siri. Apple's voice assistant with features like a standalone chatbot app, on screen awareness, multi step command handling, and integration with outside AI models such as Google's Gemini. So yeah.
Jordan Wilson [00:17:35]:
More or less, you know, what the reporting that we've been hearing is that Apple wasn't able to get anything done internally. So they're having to pay, Google to use their models to fix all of their AI shortcomings. And you know what? When I said this, like, I don't know, two or three years ago, everyone's like, this Jordan guy's dumb. He doesn't know what he's saying. Apple is gonna completely dominate at AI. And, obviously, I was right on that. So we'll see what actually happens and if this, WWDC will work this time. Obviously, Google Gemini has fantastic models.
Jordan Wilson [00:18:09]:
Right? But it's all about how will Apple implement them. And the eyes are going to be on Tim Cook. So this marks Tim Cook's final conference as CEO, making it a legacy moment as John Ternes, prepares to take over. So analysts say that Apple must show its Apple intelligence can actually do more than add one plus one. That's not what they're saying. They're just saying that they need to actually put out some AI that maybe kind of works, to see if this will be a true iPhone upgrade driver. Yeah. My thought is anything that actually works and is actually worthwhile out of this conference in terms of AI will require a brand new piece of hardware.
Jordan Wilson [00:18:55]:
That's how Apple normally does it. So Apple's approach, though, has always focused on privacy and device level AI and partnerships rather than just massive internal, investments in data centers and paying billions of dollars for, you know, or millions of dollars for researchers. So yeah. Instead, they're just looking to partner with others because there are reports aside from the new Siri just, the new Siri cloud, or sorry, the new Siri could just partly run on Google Cloud and NVIDIA chips. So, yeah, that one's even interesting as well, you know, not running on Apple's private cloud. So, we'll see. Let me know. Let me know.
Jordan Wilson [00:19:39]:
Spotify comments, livestream comments. Just say Apple, yes, or Apple, no. Right? Should should we cover this on Tuesday? Should we just give you a quick rundown? I'm personally interested, but mainly it's because for me, right, I have an iPhone. I, you know, on this livestream, I'm on my Mac. It it it does impact my daily work. Right? I would say if we could get 30% of what's available inside of chat GPT or Claude or Gemini, I think the world will become more productive. Right? But Apple has showed continually to mess up everything when it comes to their Apple intelligence. Probably the biggest thing was being, cocky enough to call it Apple intelligence.
Jordan Wilson [00:20:25]:
Right? Trying to rebrand artificial intelligence. I literally said that right after WWDC twenty four, and I'm like, this won't end well, and it obviously didn't end well. Alright. Something that may actually end well because this was announced, and it's out, and it's really good. OpenAI made some major money moves on the business side, with some codex announcements. So OpenAI revealed, that it will soon also bring codex capabilities into the ChatGPT app everywhere, making it easier for businesses to access agenda coding and productivity tools in a single platform. So here's essentially what happened. OpenAI had a, big event called their intelligence at work.
Jordan Wilson [00:21:11]:
It was a live stream where they went over, kind of six new, plugins that they released, two big new features, and they kind of started to lay out this super app concept. Right? You know, which will be codex. Codex is the super app. They've already kind of announced that. Right? But they are going to be bringing together, kind of elements of chat g v t and codecs and starting to fuse that. So they did, talk about that a little bit, but, you know, nothing solid, at the intelligence at work livestream on what that, merge might actually look like. But what we did get is six new codecs plug ins. And if you haven't tried these, my gosh, try that.
Jordan Wilson [00:21:55]:
They are scary good. Yeah. So combine the new codecs plug ins with the fact that the codecs interface is just really, really good and intuitive, and I think you'll see how your work can start to change. So each one of the plug ins is designed to help specific business functions such as sales, data analytics, creative production, product design, public equity investing, and investment banking. So those are kind of the six different categories. So a lot to get to. There's also, you know, a bunch of new plug in partnerships with big companies like Figma, Canva, Shutter, Shutter, Stock, PixArt. There's new, you you know, the data analytics plug in.
Jordan Wilson [00:22:37]:
I know it's gonna be a really popular one because it integrates directly, with platforms like Snowflake, Databricks, Genie, Hex, Tableau, a lot of other things. The sales plug in, right, that connects to Salesforce, HubSpot, Slack, Outreach, and more. So there was the those were the six new plug ins, and then there was kinda two new features. I think one bigger than the other. So the smaller one would be annotations, and then the bigger one were, would be sites. So annotations kind of allows users inside of codex to refine specific parts of documents, spreadsheets, and slides by just annotating. Right? So there's a new feature, you know. So if you're working on an artifact inside of codex, you know, if you haven't, you know, I don't know, scour the web and create a PowerPoint for you, and there's little certain things you wanna tweak in there, you can literally just, like, draw on it and tell codex what to change.
Jordan Wilson [00:23:29]:
Really cool. But I think the one that is actually going to be bigger is the new sites feature. Sites feature, I don't know how popular this will be, but I know how popular this could be. Right? The potential for this is absolutely enormous. So if you've used something like Lovable or Bolt, that's what sites is. It is absolutely bonkers. Like, I still can't believe that more people aren't talking about this. I know it's only, you know, been, like, five days since it was announced.
Jordan Wilson [00:24:03]:
But, essentially, I mean, this brings database off security, everything. Right? This isn't just like a, oh, here's a nice little vibe coded site that you can share with your coworkers. It is a literal working app. Right? Everything you need. Database off everything is in there. Right? And then you can share it, securely, across your organization. So great tool for teams. And yeah.
Jordan Wilson [00:24:29]:
I don't know. Should we cover this a little bit more? I did, you know, two pretty in-depth, codec shows a couple of weeks ago, and it seems like there's some appetite, but you all gotta let me know if, you know, we should do something like sites. If we should talk about sites or talk about the six plugins, you let me know. Alright. Y'all, I wasn't kidding. More hot AI summer. So SpaceX is making headlines with a very likely record breaking IPO set for this Friday. So, yeah, it will very likely be the largest initial public offering in US history.
Jordan Wilson [00:25:08]:
So SpaceX has filed a fixed IPO price of a $135 per share. That one's interesting. And plans to shell sell about 555,000,000 shares aiming to reign raise about $675,000,000,000. So in case you missed the news last month and you're like, why are we talking about SpaceX, the rocket company on an AI show? Well, that's because SpaceX now technically owns XAI and its AI chatbot, Grok, following that merger on May 6. Also, SpaceX and via XAI has a couple of, kind of valuation pending, with some, some, pieces of, I guess, some transactions they have, that are pending. So let me tell you what that means. So SpaceX's valuation could hit 1,700,000,000,000 if the EchoStar spectrum in the cursor transactions are completed, which if they do happen that way, that would make SpaceX the seventh largest US company by market cap even ahead of its I don't know if you'd call Tesla the bigger brother now or the smaller brother, but one of Elon Musk's other company. So SpaceX will debut on the Nasdaq ticker this Friday, on with the call symbol, SPCX.
Jordan Wilson [00:26:37]:
Alright. So make sure you look out for that. But, this approach is a little unusual offering a fixed price on the, stock instead of a price range, which is what you would typically see, for these tech IPOs. So Musk also, like I said, merged SpaceX with XAI earlier this year. At that time, the combined entity was $1,200,000,000,000. So between the cursor, acquisition and just the pace of AI. Right? And, obviously, SpaceX has signed, some deals with Anthropic for compute, and there's some other reports out there that they're gonna be working with some other big companies, essentially, selling compute. So, you know, saying they're they're gonna send rockets and, you know, send all their compute to space.
Jordan Wilson [00:27:27]:
So it's unlimited. Right? We'll see what actually happens there. But regardless, this Friday, we are likely to see the biggest IPO ever. And one of the new big AI tech Titans on the block. All right. Speaking of companies going public and equity and things like that. Here's an interesting one. When I first saw this, I think I saw this breaking on Twitter, and I'm like, is this real? And then I read it.
Jordan Wilson [00:27:57]:
There was some, some kind of leaked audio, and I'm like, oh, this is real, but it's worth talking about. So according to reports, the Trump administration is actively deciding whether the US government should take direct financial equity stakes in leading AI companies, a move that could fundamentally reshape the relationship between the government and the tech sector. So president Trump did confirm in an audio interview that his team is exploring ways for the American public to, quote, unquote, essentially become a partner in the financial success of AI, signaling a dramatic shift toward public private partnerships in high-tech industries. So the leading proposal, which was actually championed by OpenAI CEO, Sam Altman, would have AI companies voluntarily transfer a portion of their shares to a government run sovereign wealth fund with profits potentially distributed to citizens through, child oriented, child oriented IRAs, some call sometimes called Trump accounts. So, similarly, senator Bernie Sanders said, this past week as well, and he proposed a more aggressive plan that would require a one time 50% tax paid in stock from major AI firms, given the government voting rights and board representation to directly influence company decisions. So it sounded like president Trump wasn't going to go that far, but he did signal that, yes, they were looking at a partnership with the government, would technically have equity in these companies, but it would technically just be shared with residents in one way, shape, or another. I mean, it sounds kind of like a cool pyramid scheme, but not really at all. Right? It's like, okay.
Jordan Wilson [00:29:53]:
Well, if the government is signing off on it and the, the big AI tech labs are signing off on it, is this one of those things that's like it seems maybe too good to be true. I don't really know. It did also seem like this was something that, was being floated out there, maybe by the government as a way to put a more positive spin, on the AI industry because, obviously, the AI industry between data centers popping up in local communities and people being, I think, personally, extremely ill informed about data centers impact on local communities. Say that, discussion for another day. And the more obvious and very, deserved, kind of quote, unquote bad rap that AI can get for taking jobs. Right? Because I think sometimes CEOs just blame AI, and they're like, alright. Well, let's just cut 5,000 jobs and blame AI, and we'll call it a day. Right? So it seems like the federal federal government is very cognizant that AI might start getting a little bit of a black eye.
Jordan Wilson [00:30:55]:
Right? You had all the college graduates booing AI anytime the keynote speaker said the word AI. So it seems like this is like a almost like a PR, play from the federal government, but I think, ultimately, if people actually somehow benefit from this, I don't think people will care even if it's a PR campaign and people see through it. It's like, alright. Well, if it puts money in the pockets, even if it's a a stimulus and AI stimulus package of sorts, I think people will at least temporarily be like, yes. Let's get on board. So I have no clue if this is actually gonna work, if it's actually just, you know, some smoke that's being floated out there before, upcoming midterms. Right? I'm sure that's another piece, to, you know, for certain politicians to come up before midterms here in The US with elections around the corner to say that, you know, to have this piece right if they get attacked on AI, like, oh, you supported a data center in your community, you know, then they'll have something to fall back on and say, oh, well, what about this? You know, we're gonna be putting all this money back in the American people's pockets. So, again, I have no this is this is fresh.
Jordan Wilson [00:32:03]:
I have no clue if it's actually gonna happen, But, I mean, president Trump did confirm that they are working on this. So it would be one of the stranger partnerships. I don't know. Maybe in the history of the private public sector, but that's if it actually happens. But we'll be following it because I'm sure it's gonna be a hot topic. Alright. That is all the big AI news stories for this week, but we have now what's new and what's next. This is kind of, a series of smaller stories, some releases that are out, some rumors, some leaks, and all of the above.
Jordan Wilson [00:32:39]:
So I'm gonna take a little sip from my cup here. Yeah. This is live unedited. Here we go. All right. We're gonna go through them quick. First one, first couple, maybe not as quick because I might have to opine on them. So things are gonna get hotter because we have rumors here that we are probably gonna get in the next, maybe two, three weeks all of these models.
Jordan Wilson [00:33:04]:
So buckle up. Ready? G p t five six, Gemini not four or five. That's Gemini three five pro in Mythos preview. Yeah. So we might get new flagship models from OpenAI, Infropic, and Google all in the next, like, three weeks. We'll see if it's actually impacted by this thirty day, process or not. But at least before that was confirmed, we did see that we were gonna get models from all of the big players. Alright.
Jordan Wilson [00:33:33]:
Next, new Cloudflare data said that AI agents are now officially generating more web traffic than humans. That's not surprising. NVIDIA did launch, and it is out now. Their beefy 550,000,000,000 parameter, Nemotron three Ultra for cheaper, faster AI agents. So, yeah, that's open source. If you have, like, a trillion dollars, you can run it locally. Microsoft in unveiled Solera, an Android based operating system and hardware for future AI agent devices look pretty cool when I saw it in person. ChatGPT did hit that record 1,000,000,000 weekly active users.
Jordan Wilson [00:34:12]:
Huge. First time that's happened that fast. OpenAI made frontier models and codecs generally available inside AWS via Bedrock. That one's big. Could've made that a main story. But if your organization is AWS Bedrock only and you wanted to use OpenAI models, but you obviously couldn't, well, now you can. Big partnership between Amazon and OpenAI. Speaking of OpenAI, they just rolled out a smarter chat g b t memory to US paid users.
Jordan Wilson [00:34:42]:
It is based on dreaming v three. You won't see that dreaming v three anywhere, but what you probably will see is a smarter, more efficient, and better memory. Alphabet is seeking yeah. So Google parent company seeking $85,000,000,000 in capital. So just going through a a funding round. Yeah. Google is as AI spending is testing investor app appetite. Airbnb CEO Brian Chesky is apparently starting an AI lab that may focus on design and UI.
Jordan Wilson [00:35:11]:
That one's interesting. Reports show that OpenAI's super app transition could start as soon as this month. Right? OpenAI did announce, announce and confirm the super app and that it's coming soon, but we see reports that it could be this month. Some leaks show that mythos may now be called Claude mythos five as a model slug and released along the current Haiku, Sonnet, and Opus lineup. So, yeah, obviously, there wasn't a Mythos three or a Mythos 4.6. So it seems like Mythos is gonna sit at the high end of the lineup, and it's gonna start with a Mythos five versus, like, a Mythos one so that it falls in line with the rest of their lineup. Notebook l m teased an unreleased feature that would allow users to generate files in dozens of formats like PDF, markdown, document, m p p, m m p four, and more. I did have the Google team tell me something is coming today.
Jordan Wilson [00:36:07]:
I don't know if it's this or something else, but keep your eyes peeled. Alright. Microsoft switched GitHub Copilot to token building and people token billing, and people are not happy about that. Right? Another another, one of the big companies moves away from the subsidized billing, right, where you're technically getting thousands of usage for, like, a $100 or $20, and now you're actually having to pay it. So people aren't happy about that, but that's how companies make money, I guess. ChatGPT can now send not just draft emails from the ChatGPT interface. Yeah. That's pretty wild.
Jordan Wilson [00:36:41]:
You can literally just go through and read and respond to emails in chat g p t. A new reported Microsoft memo said that the scout AI assistant plan was aimed to make people addicted. Yeah. Obviously, the brass at Microsoft have denied, or played down that report, but, yeah, apparently, they wanted to make people addicted to scout AI. Arena AI rolled out agent mode in leaderboard ranking agents with sessions. That's really cool. G p d 5.5 is at the top of the leaderboard. OpenAI upgraded codex to let developers preview and test iOS apps inside the app.
Jordan Wilson [00:37:23]:
OpenAI reported that codex tapped topped 5,000,000 weekly users as knowledge worker use surged. Polk became the first AI agent approved for Apple's messages for business. Anthropic reported Claude authored 80% of its merge production code, last month. Anthropic did file their s one for a possible IPO this year. Reeve, I think it's Reeve two point o, and Ideogram four point o were both released. So Reeve, in terms of the AI image leaderboard on Ella Marina, they were number two instantly, and Ideogram is the top open model. So if you're an AI image person, make sure you go check those out. A new report said that AI became the top reason for mass layoffs in The US as tech companies announced more than 38,000 cuts in May.
Jordan Wilson [00:38:15]:
And Google DeepMind launched a new open source model. So their JEMMA four, but a 12 b variation for multimodal laptop, with, you know, if you have a laptop with only, like, 16 gigabytes of RAM, this new 12 b version will do you. So that's it. A lot to cover in a little amount of time. So from Apple's WWDC later today, SpaceX going public this Friday, big updates from Microsoft OpenAI and everyone else, and we're probably gonna be getting models after models after models in the next three weeks. We're gonna be covering it all every single day. So if this is helpful, let someone know about it. Please follow this, follow the podcast, and subscribe on Spotify and Apple Podcasts.
Jordan Wilson [00:39:05]:
When you're done doing that, so many instructions. Right? See, you have so much free time. You can go do these things because I'm keeping up with all this. So you can go subscribe to the podcast, and then go to youreverydayai.com. Sign up for the free daily newsletter, and then make sure you join us tomorrow and every day for more everyday AI. Thanks, y'all.