Ep 729: OpenAI drops GPT-5.4, Pentagon and Anthropic drama continues, Jensen Huang praises OpenClaw and more

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This week, the ongoing Anthropic versus the US government saga continued to draw the most attention in AI world. But in between the supply chain risk designation and Anthropic saying they're suing the government. OpenAI and Google both dropped pretty consequential models in their own rights. Then Nvidia CEO Jensen Huang unexpectedly showered one open source project with the highest praise possible. Well, your spreadsheets just got a new friend that will do all the work for you. Speaking of doing all the work for you, Anthropic came out with a report that basically said, well, here's the jobs our AI models are going to do for you. There was a ton of news in AI this week, and if you missed any of it, if you don't have hours a day to keep up and be like, what does this mean? Don't worry. That's exactly what I do on Mondays on Everyday AI. Welcome. What's going on, y'all? Welcome to Everyday AI. My name is Jordan Wilson, and this is for you. It's your daily livestream podcast and free daily newsletter helping everyday business leaders like you and me keep up with the breathtaking pace of AI, help you keep track of what matters, what doesn't, and how to use it to grow your company and your career. So if that's what you're trying to do, starts here with the unedited, unscripted livestream podcast. But if you wanna be the smartest person in AI at your company, our website, that's where you make it happen. YourEverydayAI.com. Go sign up for the free daily newsletter where each day we recap that day's, podcasts as well as everything else that you need to know. All right, let's get into it. On Mondays, we bring you the AI news that matters. So if you don't have hours every single day, well, Mondays, it's where it's at. Let's get straight into it. The big AI news story of this week was undoubtedly the ongoing Anthropic versus the US government saga and it did not disappoint. If you like drama, if you like to see what's happening under the covers, we got a lot of exclusive reporting this week. So the very public beef between the US government and Anthropic continued after the Pentagon late last week officially designated Anthropic as a national security supply chain risk, a move that could reshape the relationship between the tech firm and the US government. So on Wednesday, the Department of Defense officially labeled Anthropic and its AI products a national security supply chain risk, immediately banning federal use and threatening the company's access to government products. So the Department of Defense said, hey, from here on out, you can't use Anthropic Claude models. And they actually said you have 6 months to transition. But we've seen reports that they're still using it. So Anthropic's CEO, Dario Amadi, in response, announced that the company will sue the the US government, arguing that that designation is legally unsound and meant for foreign adversaries, not US firms. So the conflict began, as we've been covering it over the last few weeks, when Anthropic reportedly refused Pentagon demands to remove certain wording around safety guardrails that blocked its AI from being used for fully autonomous weapons and mass domestic surveillance. So the Pentagon insisted on, quote unquote, all lawful use of Anthropic's AI. But Anthropic held firm on what they said were its ethical restrictions, leading to a breakdown in negotiations. And that's not even all of the drama. That's because this week, related to this, there was also a leaked internal memo that came out from Dario Mati that set off a firestorm after he criticized OpenAI for quickly agreeing to the Pentagon terms, calling their approach safety theater and accusing them of prioritizing employee appeasement over meaningful safeguards. Modi later apologized for the tone of his message, but reaffirmed what he said was Anthropic's commitment to safety and responsible AI use, even in military partnerships. OpenAI, meanwhile, signed its own deal with the Pentagon last week and revised it, moving quickly to fill the gap left by Anthropic's ban. The new supply chain risk designation is pretty big because, according to reports, this is the first time it's ever been used in this way against a US company. And it could force all defense contractors to stop using Anthropic's Claude model if they are working with Anthropic directly, though Anthropic argues the legal reach is narrower than the administration claims. So, yeah, there's a lot of kind of he said, she said when it comes to the application of this supply chain risk. So Anthropic is essentially saying, yeah, this doesn't really— number one, this doesn't apply to us and we're going to sue the US government and this is not lawful. And the government is saying, well, nope, if you do business with the government, you can't use Claude's models. And they said no more immediately. And they're giving different departments 6 months to find a plan. Anthropic's lawsuit will challenge the use of the Supply Chain Risk statute against a domestic company, arguing it violates due process and the First Amendment. So I have no clue what's going to happen here. Reading it myself, I'm like, okay, I see where Anthropic is coming from. It does seem like a little bit of a broader application of the Supply Chain Risk than what it was originally meant for, but I guess it's up to the current administration to decide how they want to try and apply certain laws. And I guess that's why we have the judicial system to begin with. So I do expect that this is not going to die down. And actually, our next news story does relate to it. So let's get straight into that. So the Pentagon's ban on Anthropic's Claude AI for defense contracts has sparked concern, but tech giants say that most users won't feel the impact. That's because Microsoft, Google, and Amazon Web Services have confirmed that Claude AI remains available to all of their customers except those directly tied specifically to Department of Defense contracts. So Microsoft said they will continue offering Anthropic's models through M365, GitHub, and AI Foundry for enterprises, startups, and general business users. Google announced Claude remains accessible on Google Cloud for non-defense workloads, with no changes expected for those other clients. Then AWS told CNBC that its customers and partners can keep using Claude for non-defense projects. So these assurances mean that businesses and professionals using Claude via Microsoft, Google, or AWS, even if they are in government roles do not need to worry about losing access. So the Pentagon designation— sorry, the Pentagon designated Anthropic as the supply chain risk after, well, the company refused to provide unrestricted access to its AI for military usage. So just as a kind of reassurance to everyone out there, because I've even seen a lot of comments from our audience wondering if they work in the government and they use Claude models. So at least right now, the way that the big tech and their partners, right,, right? Because Google, Microsoft, and Amazon are all investors in Anthropic, and they provide Anthropic's Claude models to their clients, right? Which include a lot of big government agencies. So right now, the way that even those big partners, Microsoft, Google, and Amazon, are kind of framing this is that the restriction only applies to defense-related contracts and direct contractors and other government, uh, kind of, uh, clients are not impacted. So yeah, like I say, we'll see this one. I'm sure it's going to shake out in the courts. It's probably going to take a while. My hunch is this is probably not going to impact a whole lot of people unless you actually work in the Department of Defense. Uh, but again, that's why I'm not a lawyer and I just talk AI every day. All right. Speaking of talking AI every day, I talked about this one late last week because it was big. Our next piece of AI news, OpenAI has launched its latest frontier model, GPT-5.4 Thinking and GPT-5.4 Pro, making a major leap in capabilities and positioning itself squarely more so against competitors Anthropic and Google. So here's what you need to know. And we did do a deeper dive on Friday. That's episode 728, so make sure you go check that one out. So OpenAI's GPT-5.4 Pro now achieves an 82% win or tie rate against human experts in the GDP-VAL benchmark, meaning it matches or outperforms industry professionals in real-world tasks 82% of the time, which when you think about it is absolutely bonkers. So the new models are already available immediately to paid subscribers across ChatGPT, the API and the Codex platform. But right now, free users, not so much. That's because OpenAI also had a kind of confusing rollout last week because, well, free users have a new model to use as well, and that's GPT-5.3 Instant. So that is because OpenAI released that, I think, the day before they released GPT-5.4. So free users and the new default model, even for paid users, is GPT-5.3 Instant. So yeah, a little confusing. We went from this point last week being on GPT-5.2 to then they announced GPT-5.3 Instant to then they immediately skipped over, you know, there's no GPT-5.3 Thinking, no GPT-5.3 Pro. We went straight to GPT-5.4 Thinking and Pro. Yeah, a little confusing. But what's not confusing is the benchmarks. So on most scientific benchmarks, GPT-5.4 is outperforming Anthropic's Claude Opus 4.6 and Google Gemini 3.1 Pro in most categories, even those related to computer use, tool calling, and real-world tasks, which is generally where Anthropic's and Google's models excel. So the other big thing to keep an eye on is 1 million. That's because in the API and on Codex, GPT-5.4 features a 1 million token context window for long-running tasks and projects. So OpenAI says the model has significantly reduced hallucinations as well, cutting that down by 33%, making it more reliable for business-critical work such as spreadsheets, presentations, and document creation. So OpenAI has emphasized native computer use and tool integration, allowing the model to operate desktop and browser tasks, use tools more efficiently, and interact with a user's machine for complex work. Flows. So I know this, it's, it's, it's like this cycle, right? Because essentially the last 3 and a half weeks we've gotten models from all the big players, right? Uh, we had, well, kind of in consecutive weeks, uh, OpenAI, or sorry, Anthropic had their, uh, Opus 4.6 followed by Sonnet 4.6. Then we got Gemini 3.1 Pro, and now we have OpenAI's GPT-5.4. So you know, it's one of these things each time for the most part, one of these 3 companies releases a new point model, right? So going from Opus 4.5 to Opus 4.6, you know, Gemini 3 to Gemini 3.1 Pro, same thing with OpenAI. Well, they technically went up 2 points, right? GPT-5.2 to GPT-5.4. Anytime this happens for the most part for that week or 2 weeks or 3 weeks, that model's probably gonna be the best in the world. Until the next one comes out. I think this is why it's important for all business leaders to, well, number one, stick to your AI operating system of choice. You can't be trying to switch your workloads every single week because essentially every single week or every other week or at least once a month, there's going to be a new world's best model. So let me know on Wednesdays, we go hands-on with our AI at Work on Wednesdays. Should we do the GPT-5.4 model? So we did more of a coverage Here's the news. Here's the 7 big takeaways on Friday's show. So if we go hands-on on Wednesdays, let me know. Should we do that? Should we do something else? Because maybe this one is just as important. Our next piece of AI news. Yeah, might sound small, but it's actually kind of big. So ChatGPT announced Excel. Yeah, ChatGPT for Excel is rolling out in beta, offering a major upgrade for professionals who spend their, spend their days in spreadsheets. Like me. So the new Excel add-in for ChatGPT embeds ChatGPT directly into Excel workbooks, enabling users to build, update, and analyze models using plain language instead of manual formulas. So powered by the new GPT-5-4 model, the tool is designed for advanced financial reasoning in Excel-based modeling, with performance nearly doubling on internal investment banking benchmarks compared to previous versions. So users can now integrate trusted financial data from providers like FactSet, Dow Jones, LSEG, S&P Global, Moody's, etc., directly within ChatGPT without having to leave. So streamlining, streamlining research and analysis. So ChatGPT for Excel supports tasks such as scenario analysis, reporting, inventory management, and budgeting, preserving workflow structure and formulas while speeding up workflows. So the tool can explain outputs, trace errors, and link answers to specific cells, making it easier for teams to audit and verify results before making decisions. So who can get it? Well, right now Access is currently available in beta for ChatGPT Business, Enterprise, EDU, Teachers, Pro, and Plus users in the US, Canada, and Australia. All right. And that's not it. Maybe you're a Google Sheets person. For me, I probably use Google Sheets a little bit more than Excel, although I do use Excel now and then. But OpenAI did also announce that they're going to have a similar add-in coming for Google Sheets soon. So teams can also export cited outputs like earnings summaries and valuation snapshots to PDF or Microsoft Word. This one, it's pretty interesting because although Microsoft did finally kind of roll out you know, Copilot in Excel that actually worked a couple of months ago. I think it was maybe Claude's plugin that really set this off, right? I think that was in February is when it started to roll out more broadly. So here we are next month. It seems like, I don't know, it seems like OpenAI has been kind of tracing in some of Anthropic's footsteps. You know, I talked about that a little bit last week. And I think in our Start Here series this week, I'm pretty sure we're going to do kind of the, the AI race. So giving everyone kind of a baseline of where all the different companies are at. And I think that's something I'm going to be addressing in that episode. So if you are curious who's winning in what area, right? If you use Microsoft Excel, should you be using Copilot? Should you be using the Claude plugin? Should you be using the ChatGPT Excel add-in, right? Those are the types of things we're going to be addressing on that show. All right. OpenAI was not the only company with some big releases because Google actually had a small release, but it is big. That's because they launched their Gemini 3.1 Flashlight, their newest AI model, which is now the fastest and most cost-effective in their lineup offering in the Gemini 3 series. So the key improvement here is speed. So if you've never used Gemini 3.1 Flashlight, it is, well, like you would think by the name, flash in light. It is a lightweight version and it is freaking fast. So Google says that Gemini 3.1 Flashlight delivers 2.5 times faster time to first token than its predecessor, Gemini 2.5 Flash. Outputs 363 tokens per second, up from 249. So not only is it more responsive, well, it is just straight up faster. So this model is designed for instant real-time applications like customer support, content moderation, and user interface generation, where even a 2-second delay could disrupt the user experience. Also, Flashlight introduced adjustable thinking levels, allowing developers to balance speed, and reasoning depth for different tasks, from rapid classification to complex code generation. So right now, benchmarks pretty good, right? So Flashlight did achieve an ELO score of 1432 on Arena, with standout results in scientific knowledge, multimodal tasks, and multimodal Q&A. It's also, well, much cheaper. So for enterprise use, Flashlight is priced at only $0.25 per million input tokens and $1.50 per million output tokens, making it significantly cheaper than the smaller competitors like Claude, Haiku, and even their previous Gemini models. So Flashlight is kind of positioned as the reflex of the Gemini lineup, handling the high-volume repetitive tasks at scale, while its sibling Gemini 3.1 Pro focuses on deep reasoning and complex problem solving. So this is one of those things I think as more and more people become software developers, right? Which I know that might sound crazy, but even the leaders in software development right now are saying they don't write code, right? They talk to agents who write code. So I think that really levels the playing field of who can be a developer now, who can build software in the future. And I think we also have to think and wonder about, well, what does software even mean for the future? But regardless, I think this model, it has to be on your radar, right? The example there, customer service, right? You probably shouldn't be using Gemini 3.1 Pro or GPT-5 for thinking or, you know, Opus 4.6 for things like customer service. So maybe if you implemented something at your company, you know, 6 months ago, a year and a half ago, this might be the model to look at when it's like, is it worth updating? And well, I think that Gemini 3.1 Flash Lite has to at least, uh, be on the radar at only 1/8 the cost of Pro. So for certain tasks, I think it is a must-have. All right. Next piece of AI news. Did not see this one coming. AI moves too fast to follow, but you're expected to keep up. Otherwise, your career or company might lag behind while AI-native competitors leap ahead. But you don't have 10 hours a day to understand it all. That's what I do for you. But after 700+ episodes of Everyday AI, the most common questions I get is, where do I start? That's why we created the Start Here series, an ongoing podcast series of more than a dozen episodes you can listen to in order. It covers the AI basics for beginners and sharpens the skills of AI champions pushing their companies forward. In the ongoing series, we explain complex trends in simple language that you can turn into action. There's 3 ways to jump in. Number 1, go scroll back to the first one in episode 691. Number 2, tap the link in your show notes at any time for the Start Here series, or you can just go to starthereseries.com. Starthere.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. So OpenClaw is making headlines from its newest fan, and that is Nvidia CEO Jensen Huang, as he declared OpenClaw quote unquote, ready? Probably the single most important release of software probably ever, end quote, at the Morgan Stanley Technology, Media, and Telecom Conference. So pretty big praise from the CEO of the most valuable company in the world. An open source project that hardly no one had heard of, uh, 3 months ago. 4 months ago, now he said is probably the single most important release of software ever. So, uh, OpenClaw achieved in just 3 weeks the adoption, uh, that took Linux 30 years, um, making it the fastest growing platform ever for any open source project. Uh, so the platform's GitHub stars and download counts have surged recently. Outpacing Linux's long-term trajectory and setting new records for community engagement. So OpenClaw's agents differ from traditional chatbots by focusing on autonomous actions rather than simple queries, allowing them to perform complex tasks such as researching, writing, and running workflows. Wong highlighted that these agents, right, it's like, okay, why is the GPU king talking about Autonomous, you know, OpenClaw. Well, that's because the agents consume 1,000 to 1 million times more tokens than standard chat interfaces. Yeah. Driving unprecedented demand for compute infrastructure. So, yeah, if you're wondering why is the CEO of Nvidia talking about OpenClaw, well, it's because OpenClaw gobbles up a lot of tokens and well, what needs or what do tokens need or what do all these models that eat up the tokens need? Well, they need NVIDIA's GPUs. So there's the connection. So if you don't know OpenClaw, well, what rock have you been hiding under? But the project's brief history so far includes operating under names like ClaudeBot first until they got a nice legal letter from Anthropic. Probably not a good move, Anthropic. Then they were called MoltBot. Temporarily, and now they're called OpenClaw. And of course, a couple of weeks ago, OpenAI kind of acquihired the project, right? They hired the sole developer of OpenClaw. So now it's kind of under the OpenAI umbrella. But Wong's comments signal a shift in AI development from information retrieval to autonomous task execution, which could reshape how businesses and individuals are using AI. And I think it's already reshaping that, right? Because we've seen even in the last few weeks, interestingly enough, right? I think Perplexity's computer is a version of OpenClaw. I think Anthropic, we're going to talk about some of their releases here in the what's new and what's next. I think they had two updates that are kind of, you know, trying to help them maybe better compete against OpenClaw. So yeah, it's been interesting so far to see not only the crazy user adoption, but also the big companies are making shifts to make their products more autonomous and easier to use, kind of like OpenCloth. All right. Our next piece of AI news. OpenAI is reportedly developing its own code repository platform to address frequent GitHub issues, according to the information. So OpenAI engineers have faced multiple GitHub outages, sometimes lasting several hours, disrupting their ability to commit or collaborate on code. So because of that, apparently OpenAI might be building their own version of GitHub, which is crazy because the entire coding industry runs on GitHub. And I'd say there's really no mainstream alternative. Well, maybe that could change. So The project is still in its early stages, according to reports, and is expected to take several months before completion. So OpenAI is considering whether to offer the platform to its customers or just keep it exclusive for internal use. So the move is a response to reliability concerns, as GitHub is owned by Microsoft, a major OpenAI partner. But we've seen Microsoft also over the last couple of months since OpenAI's kind of transition from a nonprofit to a public benefits corporation or PBC. Right. We've seen Microsoft start to incorporate more cloud models, Microsoft investing in Anthropic. So it might seem like OpenAI is saying, okay, well, we're going to start— they've obviously partnered with some other big players that are Microsoft competitors, and they might just be, well, starting their own projects that might compete with Microsoft directly. So the new platform, at least right now, aims to ensure OpenAI's engineering teams have continuous access to their code, reducing downtime and dependencies on external services. If OpenAI does decide to sell access to others, it could provide a new alternative for companies seeking more reliable code hosting and collaboration tools. Because here's, here's the reality. As more and more people, I think with the the recent popularization and explosion, right? I think maybe Claude Code in December, January started it. And then we have OpenAI's extremely popular Codex, right? I do think GitHub's, well, I can only assume their servers are legit melting with more and more people committing more and more often. And then when you talk about autonomous, right, autonomous coding, it's like, you know, my agents are constantly pushing things to GitHub even when I'm not in front of them telling them to do it. So I kind of understand both sides from this. I can see how Microsoft is probably struggling to scale to meet the demand because it's unprecedented. And I can also see why OpenAI might be wanting to offer a competing service. All right. In our last big piece of AI news this week, Yeah, all the jobs AI might take. So Anthropic released a new study that warns AI is on track to disrupt a wide range of white-collar jobs. So according to the study, AI models like Claude are already capable of performing up to 94% of tasks in computer and math jobs, but are currently being used only for about a third of those tasks. In real-world settings. So the gap between what AI can do and what it is actually doing is described as vast, with researchers predicting that as adoption increases, AI will take on more professional tasks, especially in business, finance, management, legal, and office administration roles. So the workers most at risk are not those in manual labor, but rather highly educated, well-paid professionals such as lawyers, financial analysts, and software developers. So the study found that those in the most AI-exposed jobs are 16 percentage points more likely to be female, earn 47% more on average, and are nearly 4 times as likely to hold a graduate degree. So the report introduces the concept of observed exposure, comparing AI's technical capabilities to its actual use in the workplace. And finds that AI is barely being tapped into for what it can actually do. So for jobs requiring a physical presence, such as cooks, mechanics, bartenders, AI exposure remains near zero, according to the report, with little risk of automation in the near future. The study warns of the possibility of a Great Recession for white-collar workers if AI adoption accelerates, drawing parallels to the job losses seen during the 2007 to 2009 2009 financial crisis. Recent U.S. labor data shows a slowdown in hiring for AI-exposed fields such as the ones mentioned in Anthropic's study, with a 14% drop in job finding rates for young workers since the rise of tools like ChatGPT, though there has not been a systematic increase in unemployment yet. So I have a lot of thoughts on this study, and it's something that I've been talking about for a very long time, right? I even dubbed it this gap that they're talking about. I talked about it on our 2026 AI Prediction and Roadmap series, and I also technically predicted the exposure to these kind of high-income professional services 2 years ago. So I'm actually going to be tackling this on tomorrow's show because I think it's worth deeper dive on this because there's a lot of findings that I don't really have time to get into in a short 2 or 3 minute recap. So for more on that show, make sure to tune in tomorrow. All right. So that's it for our big stories. But each week we bring you what's new and what's next because there's obviously a lot more going on, right? We've been doing, well, we've been doing the Everyday AI Show for 3 years, but we've been doing our, uh, AI news show for almost 2 years. And 2 years ago, you know, there's maybe 10 stories that were consequential. Now there's like 30 to 40 each week. So we usually focus on 8 to 10 big stories and then our what's new and what's next. These are, well, maybe smaller news stories, new AI features, rumors, leaks, all of that good stuff. So let's get straight into it. Because there's a lot. All right, ready? So Google shipped a new command line interface tool for Google Workspace, which sounds technical, but it's absolutely insane. Anthropic launched Claude Marketplace, letting enterprise spend commitments on partner-built Claude tools. So that's modeled after AWS. Speaking of AWS, they put a private self-hosted OpenClaw agents on lightsail. Microsoft's SharePoint admin agent is now fully available. Anthropic released scheduled tasks for Claude Code. Yeah, remember I said they're kind of going full OpenClaw mode? There you go. They released scheduled tasks and also a loop feature over the weekend. So yeah, bringing the OpenClaw features to Claude Code. According to reports, OpenAI tops $25 billion in annualized revenue. Google released Canvas in AI mode. Y'all go check it out. If you haven't ever used Google Gemini Canvas, it's now available in AI mode. So yeah, go use it. I love it. OpenAI launched Codex Security in Research Preview, which was formerly called Aardvark. Meta signed huge chip deals with Nvidia and AMD, boosting their AI spending. OpenAI revised their Pentagon contract, banning surveillance and autonomous weapon use amid backlash from employees and just the general community. OpenAI released Codex for Windows. Although I don't have a Windows machine, I actually got one, never set it up. But a lot of people have been saying the Windows version is not quite as stable or useful as the Mac version yet. So we'll see how that pans out. ChatGPT, here's a big one. Might sound small, but huge. So ChatGPT finally released skills in ChatGPT, but only for users on Business, Enterprise, EDU, Teachers, and Healthcare. And the Codex and the API. So essentially everyone now has access to Skills in ChatGPT except free users and users on the $20 a month plus plan. Yeah. And the Pro plan. I didn't even really realize this until right before this show when I logged out of my Pro plan and logged into my business plan and I'm like, oh, Skills are here. Sweet. All right. Speaking of OpenAI, they updated their prompting guide for GPT-5.4. We'll put that in today's newsletter, so make sure you go check it out. Quen released their Quen 3.5 Medium model. So the popular model maker at Alibaba, but also a bunch of their leadership left. So we'll see what actually happens with Quen in the short term after that. Perplexity rolled out skill support for their new Computer product. I've been loving Computer. Did a— sounds like Ron Burgundy, right? Like, I love LAMP, I love Computer. The problem is the credits eats them up. Yeah, we covered that last week if you want to go check that show. Amazon just launched Connect Health, letting businesses spot and fix contact center issues in real time. Microsoft announced support for GPT-5.4 inside of Copilot. So no big delay there for Microsoft. It is available rolling out now. Speaking of Microsoft, they're also testing a version essentially of ChatGPT's Pulse, which is a personalized news feed inside of Copilot. Called Copilot Discover based on your history. The US Supreme Court declined hearing whether AI art generates— sorry, AI-generated art qualifies for copyright. OpenAI rolled out support for saved prompts inside of its Atlas browser. NVIDIA announced that they're no longer going to be investing in OpenAI and Anthropic after the companies go public, which is expected to happen later this year. Google released cinematic videos in NotebookLM and My Gosh, they are so good. Only for Ultra subscribers right now. So you got to be on that $200 a month plan. OpenAI is reportedly working on a bidirectional audio model for better human-to-AI voice interactions. I really hope OpenAI updates their voice mode in ChatGPT. I hope they update their agent mode, at least to GPT-5.4. A lot of great multimodal tech that OpenAI has that seems like it hasn't been updated in a while. In a White House meeting, tech giants pledged to cover grid upgrade costs for AI data centers in the US. So essentially saying they're not going to pass the electricity bill to local residents where they're building these new AI data centers. And then last but definitely not least, small footnote, big footprint. Microsoft released Phi-4 Reasoning, their 15 billion parameter open multimodal model, balancing reasoning, accuracy, and efficiency. All right, so that's it. That's our big AI news stories. That's our what's new and what's next. But we did start something. All right, last week, kind of threw this out there. Seemed like most of you liked it. So here's the problem with the show and how it's set up here at Everyday AI. On Mondays, we do exactly this, right? We talk about the big news stories. And then at the end, we go over all of these bullet points like I just did. What I've learned to realize is a lot of those bullet points you all probably want to know more about, right? So yes, on Wednesdays we always go hands-on, but with one new AI feature, one new AI update. So we threw out this concept of doing a more hands-on kind of update on actual AI features. Right. So as an example, in those what's new and what's next, probably a lot of those smaller things are going to be the things that actually move the needle for your business. And I can't address them all in, you know, the AI news and on our one kind of hands-on show on Wednesday. So I started to think, okay, do you guys want this, you know, going over a handful, maybe 5 to 8 of these new features inside of ChatGPT, Copilot, Claude, Gemini, maybe Perplexity, maybe one or two others. Is it something you want? If so, let me know. I don't know, say, I always should have like a word to tell you guys to comment, and I don't even know what I'm going to call it. How about this? Give me a name for it. If you want something, maybe it's called Friday Features and we put it out on Fridays. I don't know. It's up to you. I work for you. If that's going to be helpful, leave me a comment. If you're listening on Spotify, leave a comment there. If you're listening on the live stream, leave a comment. So yeah, we did that show last Thursday. So if you do want to go check that one out, because as an example, some of those bullet points that we talked about there at the end, the, you know, the cinema overviews inside of NotebookLM, you know, the workspace CLI, which I think is huge. So we did that on Thursday, episode 727. So make sure you go check that out. All right, that's a wrap. A lot happening this week. I hope that our Monday shows are helpful to put you in the driver's seat, feel confident for the week. If you're making decisions on front-end AI strategy and implementation, well, you gotta know what's going on. So if this was helpful, make sure you tell someone about it, and then make sure you go to youreverydayai.com, sign up for the free daily newsletter. Thanks for tuning in. We'll see you back tomorrow and every day for more Everyday AI.

Thanks, y'all. And that's a wrap for today's edition of Everyday AI! Thanks for joining us! If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going! For a little more AI magic, visit youreverydayai.com and sign up to our daily newsletter so you don't get left behind. Go break some barriers, and we'll see you next time!