Everyday AI Podcast – An AI and ChatGPT Podcast - Ep 734: Meta’s making AI job cuts and investments, NVIDIA’s big plays, Google brings Gemini everywhere and more AI news

Episode Date: March 16, 2026

Wait.... did OpenAI and Anthropic take a week off? 🤔After a relatively quiet week of updates from AI's normal heavyweights in Anthropic and OpenAI, their competitors (and backers) picked up the slack. ↳ Meta is making AI chips but cutting jobs. ↳ NVIDIA is investing billions in Open Source AI. ↳ Perplexity is trying to bring back the Personal Computer. ↳ Google is dropping AI in your docs and your carAnd a whole lot more. Don't waste hours each week trying to make sense of the AI developments. That's our job. Meta’s making AI job cuts and investments, NVIDIA’s big plays, Google brings Gemini everywhere and more AI news -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTopics Covered in This Episode: NVIDIA's $26B Open Weight AI InvestmentNVIDIA Competing Against OpenAI, Anthropic, DeepSeekMeta Launches Four New In-House AI ChipsMeta Plans Massive AI-Driven Job CutsMeta's AI Acquisitions: Multbook and ManusMicrosoft Copilot Health AI Launch DetailsYann LeCun Launches AMI World Model StartupPerplexity's Personal Computer AI Agent for MacTimestamps:00:00 NVIDIA's AI Ambitions Expand05:30 "AI Evolution and NVIDIA's Edge"08:23 "Meta Launches MTIA AI Chips"11:47 Meta Doubles Down on AI15:23 "Microsoft’s Copilot Health Launches"20:23 "AMI's Ambitious AI Vision"21:58 "Perplexity Launches AI Personal Computer"25:52 Senate Approves Generative AI Use30:57 Google Drive Gains AI Overview32:43 "Friday Features & AI Updates"36:53 "Everyday AI Updates & Insights"Keywords: NVIDIA, $26 billion AI investment, open weight AI models, open source AI, proprietary AI, AI hardware, AI software, OpenAI, Anthropic, DeepSeek, AMD, chip makers, Meta AI chips, MTIA 300, MTIA 400, MTIA 450,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

This is the Everyday AI Show, the Everyday Podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life. Meet Firefly AI Assistant, now live in Adobe Firefly, the All In One Creative AI Studio. Just describe what you want to create and the assistant handles the rest, orchestrating multi-step workflows across Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome. The assistant accelerates execution. While it was a relatively quiet week for two AI heavyweights in Open AI and Anthropic,

their competitors and financial backers made plenty of noise. Vata was all over the AI news this week. And depending on how you look at it, it might have been for both good and, well, definitely bad reasons. InVIDIA made plenty of billion dollar splashes over the past few days, as its annual GTC conference kicks off in hours. And perplexity is tried to bring back the personal computer while Google quietly shipped useful AI everywhere from your car to your Google Docs.

All right. I hope you're excited to get into all the AI news this week. I am as well. And if you miss anything that happens in the AI world, don't worry. That's what we're here for. in our weekly AI news show on Monday called AI News That Matters. Well, if you're brand new here, welcome to the AI News That Matters on Everyday AI. My name is Jordan Wilson and well, everyday AI, it's for you.

If you're struggling to keep up, but you want to get ahead with everything that's happening in the world of AI, you tune into our daily live stream podcast and free daily newsletter, helping everyday business leaders like you and me make sense of all of this to get ahead and grow our companies and careers. starts here, like I said, Monday through Friday with the unedited, unscripted live podcast. But to be the smartest person in AI at your company, our website is your cheat code, your everyday AI.com.

All right. So in today's newsletter, we're going to have all the other AI happenings, but let's get into the biggest AI news stories of the week. And probably one of the biggest ones that no one was really talking about was one with a 26 billion, with a B, 26 billion dollar price tag on it. That's because according to interviews and financial filings found by Wired, Nvidia has just announced a $26 billion investment in open AI models. So open weight AI models, not open AI.

They've invested plenty of money in Open AI. Actually, more on that in a second. So, Nvidia is announcing plans to invest $26 billion over the next five years to develop open weight AI models. So, and that's according to Wired. And this massive investment positions NVIDIA as a direct competitor to leading AI firms like OpenAI Anthropic and DeepSeek as the company expands beyond its dominant role in AI hardware. So, NVIDIA's move into open weight or open. source AI models could accelerate innovation and lower barriers for companies and developers wanting to build on advanced AI technology.

The company's strategy raises questions about market competition since Nvidia both manufactures the actual hardware that's powering AI systems. And now, while they're planning to produce leading AI software that could compete against those very companies as well. So some industry voices worry this could give Nvidia an unfair advantage as a lot. as it can optimize its own models to run better on its own hardware versus its rival models from companies like OpenAI, Google, or Anthropic. So AMD's CEO has weighed in suggesting open source approaches are key to remaining competitive

in the AI market signaling intensifying rivalry among chipmakers and AI software developers. So this one is interesting for a couple of reasons. Well, number one, you can't overlook the fact that Nvidia is a huge investor in some of those companies like OpenAI and Anthropic that are building these closed source proprietary models. And there's always all these numbers that you hear in AI, right? All these valuations and funding rounds. But $26 billion is huge, right?

So for Nvidia to say that they're going to be investing, $26 billion over the next five years to develop open weight AI models, that's no small feat. That is the equivalent of what you would be investing to get multiple state-of-the-art frontier models, right? So investing that much money on the open source side, is a really big deal, not just for open source, but also for closed source and proprietary models. Because it has an example, right, whether it's their future version is called Nemotron or something else, right?

That's the version that they just released not too long ago. Regardless, it's going to put a lot of pressure on the open AI inthropic in Googles of the world to build better proprietary models. because as the technology shrinks, right, that's the other thing that people are overlooking, right? Like, you know, to have a one-gigabyte hard drive 20 years ago probably took up 20 times the space it does today and cost 100 times as much. So you have to think the same to be true in 3, 5, 10 years when it comes to AI models and GPUs, right? As an example, you could probably have something that's GPT-5-4 level or Gemini 3-1 level. running on an iPhone, on an older iPhone, right? So it does make sense from Nvidia's perspective to, well,

they're going to be cashing checks in both hands because the big AI labs to keep up with whatever Nvidia puts out on the open source end, they're going to have to continue to invest in bigger, better models, which means using Nvidia's GPU chips for inference and training. And then Nvidia is going to be building the open. platforms. And well, you might be saying, okay, how does NVIDIA ultimately gain money from that? Well, that's because just about everyone will be buying probably NVIDIA-specific hardware to run these new models. So if NVIDIA's open-source models in the near future become the premier open-source

models, there's a good chance that they're going to be optimized to run really well on NVIDIA's GPU chips and their hardware. Like, you know, as an example, the DGX sparks of three to five years from now. So very interesting play here. I think NVIDA is actually not just squeezing it on both sides. They're actually winning in three ways or they could be winning in three different ways, right? One, the companies are like Open AI and Anthropic are going to have to pay NVIDIA more to compete with NVIDIA, weird, right?

But that's also why those companies are starting to invest in their own infrastructure. So that's the number one way. Number two, well, they're going to the open source side. That's huge, right? For to push that boundary, that pushes all other companies like meta as an example, which we have a related story here in a second. All the other open source companies are going to have to pay more to compete with the closed source and the open source.

And then last but not least, you're going to have probably millions of new customers, mainly consumers, who are going to want to be running these models locally, and they're probably going to be buying specialized Nvidia hardware to do so. All right. Speaking of the AI chip race, our next piece of AI news, well, met us launching four of their own in-house AI chips, maybe so they don't have to pay Nvidia so much in the future.

So according to reports, meta has introduced four new processors. So here's the names. And what it stands for, it's the MTIA, which is the meta training and inference accelerator family. So the MTIA 300, 400, 450, and 500, those are the new processors that they introduced. So they are used, obviously, and designed for generative AI and recommendation models. And they can be scaled up in server racks with up to 72 chips, just like NVIDIA's NVL-72 and AMD's Helios racks. So meta claims the MTIA 400 is its first chip to deliver both cost savings and performance competitive with the top commercial products, directly targeting Nvidia and AMD's offerings.

So the 450 and 500 build on the MTIA 400, offering faster and higher. offering faster and higher capacity memory for more demanding AI workloads. So according to Reuters reports, Meta has already started using some of these chips and plans broader deployment in 26 and 2027, with all models sharing a unified infrastructure for easy upgrades. So meta moves follows well strategies by all the other big tech companies like Google, Amazon, and Microsoft who have developed their own chips to power their. their AI models and reduce dependencies on third-party suppliers, mainly in video.

So Google and Amazon also rent out their chips to companies like Anthropic and Meta, who recently signed a multi-billion dollar to use, multibillion dollar deal to use Google's processors as well. So in 2026 alone, Amazon, Google, Meta, and Microsoft plan to spend a combined $650 billion on capital expenditures, with most of that going toward AI infrastructure. All right. More meta news. So the first one might have been a little positive, right?

Oh, cool. Meta's building out all these, you know, AI chips, which can be great for the industry, great for local job production, right? Well, maybe not so much. That's because another recent Reuters report said that meta is preparing for its largest workforce reduction ever as the company pivots heavily toward AI to streamline operations. So according to reports, META is considering cutting 20% or more of its workforce, which could affect over 15,000 employees.

The layoffs come as META plans to invest $600 billion in new data centers by 2028, a move intended to support its AI ambition. So, yeah, this is kind of. similar to what we heard from Amazon about six, oh, no, it was about four months ago, right? This kind of shift from op-x to cap-ax or thousands of people to AI factories and chips, and that looks like meta might be going down the same route. So no official date has been set for the layoffs, and the final number of cuts is still being determined according to reports.

CEO Mark Zuckerberg has been aggressively reduced. recruiting top AI talent, offering compensation packages worth reportedly hundreds of millions of dollars over four years. So meta's shift toward AI is expected to create efficiencies with projects previously requiring large teams now handled by fewer highly skilled employees. The company also acquired Maltbook this past week. If you read our newsletter, you saw that one. And that's a social networking platform for AI agents and spent about $2 billion to buy Chinese AI startup Manus. So they've been acquiring a lot and spending a lot in the AI space, but well, apparently

not their own employees. So meta's previous restructuring in late 2022 and early 2023 resulted in a layoff of 21,000 employees or about a quarter of its workforce at the time. So, Metus AI efforts follow setbacks with its Lama 4 models last year, including criticism of misleading benchmark results and the cancellation of its largest model, which we never got behemoths. And the company's new superintelligence team is working on a model called avocado, but performance has not yet met expectations so far.

and the model has reportedly now been delayed until May. So what's meta doing here? We're not sure, right? It's been now nearly a year since we got our last models from Meta. It's been nine or so months since Meta spent $15 billion to essentially aqua hire Scale AIs leadership team and its CEO. So I think most of the AI industry was expecting something probably by the end of 2025 from Meta. So it's kind of surprising that, number one, not only have we not seen anything with these large AI investments aside from a couple of acquisitions, but now reportedly, meta's next model, which is co-named avocado for now, is delayed yet again. All right, something that is not delayed.

Microsoft, they just launched co-pilot health. A new feature inside its co-pilot chatbot designed to help make users help them better understand their medical records, wearable device data, and help them make better decisions regarding their health. So Microsoft's move comes as the company's survey found that health-related questions are the most common topic for mobile co-pilot users. So copilot health brings together data from smart watches, fitness rings, and uploaded medical records, offering personalized insights and support, but it is not intended to diagnose or treat medical conditions. Yeah, that's always interesting when, you know, these companies now are coming out specifically with health products, but they're like, yeah, this isn't, you know, to actually

diagnose anything, right? It's like, yeah, you have put that giant asterisk, even though that's 100% what people are going to be using this for. So the tool was devised. developed with input from both Microsoft's in-house clinicians and an external panel of hundreds of doctors across 24 countries. So co-pilot health uses the National Academy of Medicine's standards for credible sources and includes information's license from Harvard Medical School. And that started in 2025. Users can easily connect records from multiple doctors, hospitals, and labs through a third-party program called HealthX and can delete their health data at any time with a simple toggle. Microsoft emphasized the health information in co-pilot health is kept separate

from regular chatbot conversations and is not used to train AI models, but it is not protected under HIPAA privacy laws. So the tool helps users prepare for doctor visits by generating questions, breaking down lab results, and finding providers who accept their insurance, but you cannot diagnose or prescribe medication. So right now, co-pilot health is launching first for adults in the U.S. with English as the only language right now and interested users. Right now can sign up for a wait list. This is no surprise, right? Health is obviously a huge play, especially on the consumer end. And, you know, Microsoft. large-scale study that we talked about in our newsletter, I believe it was two weeks ago.

Well, they found maybe a little bit surprising at the time that this is overwhelmingly one of the most popular use cases for consumers using co-pilot right now. And I know there's probably some doctors out there listening that aren't going to want to hear this, but I've been saying this for a long time. Any profession that is high-priced, right, just straight up knowledge-based work like healthcare and doctors, accounting, consulting, those are industries that are going to be disrupted here fairly quickly as the models that we use get better at reasoning. They're faster, more accurate, and more transparent. So I would expect, right? We saw this from Chachypti.

They came out with their health product. Anthropic went more of kind of a plug-in route, and now Microsoft going all in with co-pilot health. So an interesting space and one that will continue to keep an eye on. All right, we're going to take a quick break for a word from our partners. Here's a harsh truth. Your company is probably spending thousands or millions of dollars on AI tools that are being massively underutilized. Half of companies have AI tools, but only 12% use them for business.

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unveiled his AI startup after more than a decade at Meta, as he's now launched AMI. A French startup focused on building AI that understands the physical world. So LeCoon is Meta's former chief AI scientist and obviously a leading figure in the field. And he's co-founded AMI and left meta. Obviously, we've been reporting on that for a couple of months now. left from that after 12 years to pursue the new project. So AMI stands for advanced machine intelligence, and the company focuses on a fundamental shift in AI development,

moving away from standard large language models toward world models. And, well, they started with a pretty big splash in the tune of $1 billion in its first funding round, marking one of Europe's largest early stage investments in AI ever. Investors include five major funds and corporate giants, such as Toyota, Nvidia, and Samsung, along with tech leaders and former Google CEO, Eric Schmidt, and Amazon CEO Jeff Bezos. So AMI, well, if you're wondering what the heck are these world models, well, they're AI systems that understand the environment like humans and animals,

moving beyond text-based language models. So, Lacoon will serve as the company's non-executive chairman. Well, Alexander LeBron is CEO, and the team plans to hire 20 to 30 people immediately to accelerate research and development. So AMI's work continues as research that Lacoon started at Meta, including a new architecture called JEPA, designed for real-world understanding.

So within three to five years, AMI plans to deliver broadly capable AI for tasks, including autonomous driving, robotics, and complex system analysis. You've got French President Emmanuel Macron that publicly praised Lacoon's move, highlighting France's growing leadership in AI research. So for the past few years, Lacoon has argued that today's large language models are kind of a dead end in terms of a path toward human intelligence, because they don't have enough data. And he's essentially called them a powerful pattern matchers.

So, you know, although he's obviously one of the most prominent names in AI, I think of a lot of today's, you know, current researchers are kind of budding heads with Lacoon because they're saying, okay, well, these large language models are clearly more than just pattern matching as they're able to produce economically viable work. But, well, he's betting with AMI and their world models that they're able to compete in areas where today's large language models aren't yet, such as robotics in manufacturing. So we'll see in the coming months and years if AMI is able to cash in on that. All right. Well, speaking of cashing in, perplexity is looking to cash in on the open claw trend as they've, essentially, well, they've tried to resurrect the personal computer and maybe go after that open claw crowd a little bit here. So a new AI system was released from Perplexity called the Personal Computer and they promised to automate complex tasks on Mac devices, potentially

changing how a lot of people could do their work if they get their way. So Perplexity launched personal computer. It is an AI-powered autonomous agent that runs right now on Mac computers. So unlike typical AI assistants that wait for user prompts, personal computer is one that operates persistently in the background on a local machine, but also using Perplexity's hybrid architecture online. So it can just carry out these tasks independently once it's given a goal. So we've covered Perplexity's computer, which is its series of autonomous agents. So it essentially uses 19 different frontier models to accomplish different tasks and it can do so

autonomously. Right. But this is all done in the cloud. And right, what's super hot in trending and, well, makes sense right now is using local machines. That's one of the reasons why OpenClaw has gone on to become, well, by definition, the most popular open source software ever. So perplexity computer, well, is trying to kind of get in on the game.

So using their very impressive, right? I was actually extremely impressed when I did a run-through of perplexity computer a couple of weeks ago on our AI at Work on Wednesday series. But this brings its capabilities, well, to your actual computer. So perplexity here trying to kind of redefine what the personal computer is now, which is funny in 2026 as personal computers have been around for decades. But essentially, all this is, is, well, a couple of things. It's marrying this new technology of computer, their hybrid autonomous architecture with the local machine. Right. So now a perplexity computer,

personal computer, will be able to still use the power of its hybrid cloud architecture, but also be able to run tasks locally, right, to be able to save files locally on a machine, to be able to read files locally on a machine. So kind of what perplexity is saying, a more secure and sandbox version of something like OpenClaw. So perplexity says the system can handle long running assignments, remaining active for hours or days until objectives are completed.

So integration right now comes. with productivity tools like Gmail, Slack, GitHub, and Notion. That means it can well kind of manage most people's day-to-day workflows. You don't need to buy new hardware right now because it can work on any existing Mac, making advanced automation accessible without having to have that extra investment. And right now, unfortunately, this is only available to perplexities users on their max plan and is waitlist only. All right.

And one or two more big pieces of AI news. This one, not a lot was written or talked about this one. Surprisingly, maybe it's just with my background. I find it interesting, but I think you should know about this. That's because the U.S. Senate has officially approved staff use of generative AI chatbots with Senate data, marking a major shift in government to tech policy. So according to Fed scoop, Senate staff can now use Microsoft co-pilot, Google Gemini, and OpenAIs ChatGBTGBT with official Senate data following approval from the Senate Sergeant at Arms chief information officer.

Each Senate employee will be eligible for one license to either Gemini or ChatGBTGBT at no cost with further details on licensing expected within 30 days. Microsoft co-pilot is already integrated into the Senate's Microsoft Microsoft. Microsoft 365 environment and can be accessed via mobile apps or office tools like Word and Excel. So the Senate's AI policy includes a two-tier risk assessment system, with these approvals being the first for Tier 2 covering official Senate data. And the approval processes and full Senate AI policy will remain undisclosed, raising concerns about transparency and accountability among tech advocacy groups. So multiple AI vendors are offering discounted access to federal agencies, but it's unclear if similar deals will apply to Congress. So co-pilot does not automatically

access internal Senate resources right now. It only uses data explicitly shared in prompts, meaning federal cybersecurity requirements. Here's why this is interesting, y'all. Number one, I hope, I hope the U.S. government in the Senate takes training seriously because I'm just going to be honest here. You like, I think a lot of people, if you don't follow government and if you take off your politics hat, senators are not exactly always the smartest people in the room. They're not. You would think they are.

But let's just look at some. recent history, right? Especially when it comes to senators, many of them, uh, on the older side, let's just call it out, not really understanding technology. The reality is many members of Congress don't understand a technology, let alone AI. So, you know, like when a senator thought the internet was a series of tubes or when another senator didn't understand how Facebook made money, you know, with ads, or how, yes, this is real, how a senator asked Google's CEO why his granddaughter was receiving notifications on her iPhone, not knowing that Google made, didn't make iPhones, right? So right now, the average age of a senator is 64 years old and more than a third are 70 or

older. So I'm not saying that older generations shouldn't use AI. I think it's great. that they do. But I think that this is just going to create a onslaught of essentially work slop in the government, right, which is what you don't necessarily want. In the same way, how I think, you know, AI slop has taken over social media, right? Yeah, I think it might start, unfortunately, making its way into politics, which unfortunately means that it could start making its way into actual legislation, which is not always the good thing, especially if you do not prioritize and emphasize training. So please, U.S. government actually train these senators on how to use AI, please. All right. In our last big piece of AI news, saving it for last,

because I think it's a big deal. Google is launching new, powerful Gemini AI features across its workspace apps. So Google has announced that Gemini will now integrate directly into docs, sheets, slides, and drive, making it easier to start in organized projects using information pulled from emails, chats, and files. So users can prompt Gemini to draft documents, spreadsheets, or slides by referencing specific emails, meeting notes, or files, reducing the need for manual information gathering. So in Google Docs, as an example, Gemini can generate first drafts, rewrite highlighted sections to match desired tone or professionalism, and even format documents to align with reference notes. Google Sheets, users can ask Gemini to create checklist, contact lists, and track quotes by pulling data directly from Gmail and Drive.

Google's Drive search now features an AI overview, right? So if you've ever done those AI overviews in Google search and you're like, oh, this is, pretty cool. Aside from when that one time it, you know, recommended using glue sticks on pizza or something like that. But since it's gotten much better, Google's, you know, having that AI overview in Google Drive is pretty cool because it can pull and call through relevant files, including citations and users can ask Gemini questions about selected files, emails, or calendar entries, such as tax-related inquiries. So Gemini's features are accessible. via a new prompt bar in each workspace app.

So, yeah, like as an example, if you look at the, if you're staring at a blank Google Doc, well, it's not as blank anymore because you will see this new feature there at the bottom. So the new Gemini Power Tools are rolling out in beta, first to Google AI Ultra and pro subscribers with docs, sheets, and slide features,

first rolling out globally in English and then drive features, launching initially in the US. for now. All right. So that is it for our main stories, but we have a lot for what's new and what's next. So yeah, for the most part, we on the main show bring you anywhere from seven to 10 big AI news stories, but there's always a ton that's happening in the world of AI. And hey, FYI, we just started a new series as well on Friday. So let me just quickly tell you what the rundown is, right? Monday we bring you the AI news that matters.

Wednesday, we go deep with one new AI feature, a new large language model, right, hands-on very much in depth. And then Friday, we started something new because what I realized is, right, aside from that one, you know, big in-depth dive on Wednesdays, most of what we talk about on the show ends up right here at the end of our Monday show, which is the what's new and what's next, just these little bullet points. So if you're hearing something and the what's new and what's next and you're like, oh my gosh, that's huge. I need to know about that for my company.

Well, tune in on Fridays because that's what we're going to be doing now is going over kind of our Friday features. All right. Anyways, here's what didn't make the AI news roundup in our what's new and what's next. So, NVIDIA launched Nemotron. It's open source. So the Nemotron 3 supermodel for scalable, agentic, AI systems. Meta, like we said earlier, acquired MoldBook, the social network for OpenClaught agents. Google, yeah, their new cinematic video overviews are being rolled out to pro

users, not just Ultra. I actually just stumbled upon that myself a couple hours ago. So Nvidia is also reportedly launching NemoClaw in OpenClaught platform for Enterprise. So, yeah, I'm sure we'll hear more news out of that this week at NVIDIA GTC. Oracle is reportedly cutting up to 30,000 jobs amid costly AI data center expansion. Canva launched AI powered magic layers for additable AI designs. GLM5 Turbo was released, which is ZAI's quicker version of GLM5, built for agents like OpenClaw. So yeah, if you're an OpenClaw user, you might want to check out GLM5. Google launched Gemini-powered Ask Maps chatbot for personalized navigation in U.S. in India.

Yes, so Google literally bringing out Gemini to your docks and your car. Anthropic launched their code review tool for CloudCode. NVIDIA and Thinking Machines partnered on a gigawatt scale, Vera Rubin AI deployment starting in 2027. That is with former OpenAI co-executive. founder Miramir Marotti. The Adobe's CEO resigned as investors pressure over unclear AI strategy. Next, the Pentagon is reportedly rolling out Gemini AI agents to automate tasks for more than three million federal employees. ChadGBT released a new feature that lets you interact with math

and science visuals in real time. Claude now builds interactive charts and diagrams, and that's in beta right now on all plans, including free plans. Google released Gemini embedding 2, which lets you search and analyze text, images, video, audio, and docs all at once. Anthropic March Anthropic Institute to research societal, economic, legal, AI risks. Open AI is reportedly delaying the rollout of its adult mode. I'm fine with that. I don't know why people are so excited about that. Claude, for Excel and PowerPoint, now share.

full context and support reusable skills. So that's really cool that Claude and Excel and PowerPoint can now talk to each other. YouTube expanded deep fake detection to protect politicians and journalists from AI impersonation. Runway launched internal incubator labs to explore generative video applications. Here's a fun one. Peacock launched in AI Andy Cohen avatar, curating personalized Bravo short form video feeds and OpenAI will reportedly integrate SORA directly into Chad GPD's interface. Ooh, we made it.

I just lost my voice again at the end. I love still being sick randomly, right? Yeah, I'm ready for it to be warm here in Chicago so I can stop being sick so often. But that is a wrap for all of the AI news that matters. Like I said, if you don't have hours every single day to keep up with the headlines, the releases, the features. Hey, just join us on Mondays as we lay it all off for you. Wednesdays, we're going to go pretty deep hands-on with probably one of these things and then go over our features on Friday and we'll obviously have other shows for you on Tuesday and Thursday

as well. I hope this one was helpful. If so, please go to our website, Your EverydayaI.com. Sign up for the free daily newsletter. Thanks for tuning in. We'll see you back tomorrow in Every Day for more Everyday AI. Thanks y'all. Meet Firefly AI Assistant. Now live in Adobe Firefly, the Allman One Creative AI Studio. Just describe what you want to create in your own words, and the assistant handles the rest, orchestrating multi-step workflows across Adobe Creative Cloud apps, including Photoshop, Premiere Express, and more in one conversational interface.

You direct the outcome while the assistant accelerates execution. Stand control with the ability to step in and refine at any time. See it today at firefly.adobie.com. 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 Your EverydayAI.com

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