Ep 240: Latest Apple AI rumors, $100-billion Stargate partnership between Microsoft and OpenAI – AI News That Matters

OpenAI's Innovations: Realistic Voice Cloning Technology

In the realm of artificial intelligence (AI), OpenAI has developed an advanced voice engine that can clone voices using just 15 seconds of reference audio. This breakthrough innovation, available to a limited number of developers, may have profound implications in various sectors, including voice-based systems, entertainment, and virtual assistance. However, with this technological leap, issues around misuse and privacy draw attention, calling for stringent regulation and ethical usage policies.

Big Tech Challenges NVIDIA AI Development

To disrupt NVIDIA's stronghold on the AI market, several leading tech giants including Intel, Google, ARM, Qualcomm, and Samsung are collaborating on an open source software suite, the Unified Acceleration Foundation (UXL). This coalition seeks to offer broader options for AI and high-performance computing applications. Slated for collaborations with more chipmakers and cloud computing companies, the UXL aspires to democratize AI development landscape.

Apple's AI Strategy

Awaiting unveiling at the June 10, 2024 developer conference is Apple's anticipated AI strategy. The tech giant is expected to heavily invest and integrate AI technology into its products and services, possibly in collaboration with OpenAI or Google. This forward-looking trend represents a significant strategic shift that could revolutionize the company’s future offerings.

Microsoft and OpenAI's Stargate Project

In the advanced computation frontier, Microsoft and OpenAI have announced an ambitious project. The duo aims to construct a groundbreaking AI supercomputer named "Stargate." Set to launch in 2028, this project encapsulates the exponential growth in the demand for AI data centers and embodies the age of supercomputers for an AI-first world.

OpenAI's Voice Engine: Futuristic Blends of AI and Voice

Lastly, OpenAI's 'Voice Engine' stands as a symbol of synthesis between AI and voice technology. This text-to-voice generation platform creates synthetic voices from short voice clips, expanding its utility across multiple languages. Set to overhaul industries ranging from education and healthcare to communication apps, this innovation marks OpenAI's relentless exploration across AI's horizons.

These latest events within the world of AI present an intriguing glimpse into the revolution cascading across industries. As AI continues to evolve, regulatory and ethical developments will be as critical as technological advancements in shaping the AI landscape.

Topics Covered in This Episode

1. Apple's AI strategy
2. Microsoft and OpenAI's AI Supercomputer Project
3. OpenAI's New Voice Engine
4. Collaboration between tech giants to counter NVIDIA.

Podcast Transcript

Jordan Wilson [00:00:16]:
Is Microsoft really working on a one 100 billion dollar AI project? And what's going on with Apple? And you probably won't believe this new open AI voice cloning technology. We're gonna be talking about that today and more on everyday AI. What's going on y'all? Thanks for joining. If you're new here, let me tell you what this is. My name is Jordan Wilson, and I'm the host of everyday AI. We're your daily livestream podcast and free daily newsletter helping everyday people learn and leverage generative AI. So if you haven't already, make sure you go to our website at your everydayai.com. Sign up for our free daily newsletter, and we've had the best and largest, resource for free generative AI education on the Internet, on our website, Now more than 230, episodes covering every category, no matter what you want to learn in generative AI, Your everyday a i.com is the place to do that.

Jordan Wilson [00:01:21]:
Alright. So, thanks for joining us live for our live audience. You could start your week however you want to, but people like Tara and Brian and and Mike and Juan, they're choosing to start their week with everyday AI because we do this usually every single Monday, and we bring you the news that matters because there is so much AI news. You could spend hours every single day trying to keep up and still be like, what the heck is going on? So let us do all the hard work for you. We do this, like I said, almost every Monday. We cut through the fluff, dissect the the marketing from big tech, and we say, hey. Here's what's actually going on, and here's what actually matters. Alright.

Jordan Wilson [00:02:01]:
So, regardless of where you're joining us, whether it's South Florida like Rolando or at the airport, Douglas, thanks. Appreciate that. Let's get into the AI news that matters for the week of April 1st. I'm not I'm not one of those. I'm not playing any tricks on you, for for April fools. Let's just get straight into the AI news. Alright. So Apple is set to unveil its AI strategy at the June 10th developer conference.

Jordan Wilson [00:02:28]:
So Apple is set to reveal its long anticipated artificial intelligence strategy at its annual worldwide developer conference, so WWTC, starting on June 10th. So now we have some official reporting on the start date as well. And it is expected to heavily center around AI technology. So while Apple itself has not officially disclosed specific details on the unveiling, a new Bloomberg report shows that there will be significant emphasis on AI. We've been talking about this for months, but as, some of the new reporting comes out, we're definitely gonna talk about it, every Monday on the news that matters. But, the biggest reported news is that Apple will not be debuting its own large language model, reportedly. Apple, according to other reports, was spending 1,000,000, within that, 1,000,000 of dollars a day working on various AI models internally. And instead of debuting an internal model, Apple will reportedly team up with either OpenAI or Google, and most reports are suggesting it will be the latter and working with Google, and use their AI models in Apple's next iPhone.

Jordan Wilson [00:03:36]:
So here's, some more information from the Bloomberg report showing some of the new AI features, what we might be expecting in Apple's next hardware device. So those features, an AI powered version of Siri, AI integrated into the message app, and as well as AI in Apple's, Iwork apps, and that's your documents, spreadsheets, keynote, etcetera. So, this move by Apple signifies a strategic shift toward integrating AI into their products and services, potentially impacting the future direction of the company's tech offerings. You know, and, hey, for for our livestream audience, I'd love to hear from you what you think of Apple's moves. You know, obviously, Samsung has already brought edge AI or, you know, large language models to their latest phone in the s 24. I think this is extremely powerful. We already know that, on device AI or edge AI is the future, of how we will all interact with AI. But yeah, like Douglas is saying here, given the pace of AI announcements, is Apple too late to the party? Douglas, hey, my my 2¢ is no.

Jordan Wilson [00:04:45]:
Right? I've actually been saying this for probably about 8 months that Apple will definitely be last to the party, but they are usually the coolest person there. You know, kind of, I think what's worth noting in all this reporting is, you know, about 6 months ago we were hearing that Apple is spending 1,000,000 of dollars, a day on working on its own internal AI. We heard, about a month ago and we always share all of this, in our newsletter, so make sure you're reading that every day as well. Right? It's not just Monday we dive into the news, but we talked, about 2 months ago how Apple, was shutting down its, car division and shifting a lot of those resources toward AI. So you do have to think that, this will be a a huge AI announcement from Apple. But again, reportedly, in lieu of working on or debuting its own model, it seems like they're gonna be partnering with either Open AI or Google to use either Open AI's g p t or Google's Gemini. Personally, I I would love to see them go with GPT, but it does seem like according to, the most recent reportings that they are leaning toward using the Gemini model. And, again, nothing here is confirmed, although, you know, this showing a tweet here, from Greg Josowiak, the, VP of marketing for Apple.

Jordan Wilson [00:06:11]:
Kinda goes it doesn't exactly say it, but kind of teasing it here in a tweet, that just came out. He said, mark your calendars for wwdc 24, June 10th to 14th, it is going to be absolutely incredible. And he capitalized the a in absolutely and the I in incredible. You know, it's no no secret there that that is a a nod to the big AI announcements that they have coming. So that actually might be the the first, I guess, super official hint at what is to come from Apple. But, yeah. I you know, to get back to Doug's initial, kind of question here, I don't think they're too late. Right? I don't think they're too late.

Jordan Wilson [00:06:53]:
I think, you know, you can tell from their their earnings calls, that they are working, toward, you know, integrating artificial intelligence more into all of their hardware and software. You can tell by their acquisitions over the last 18 months. You can tell by, you know, a lot of these reports like the Bloomberg one that we're talking about here, that Apple is going all in with AI and there is no other way. But like everything else, Apple's never first. Right? Apple's never first. There's always, I feel a joke amongst, you know, those Android users, Samsung users, etcetera, you know, that says hey, you know, Apple users, enjoy, you know, this new feature. We've had it for 2 years. Right? So Apple obviously playing the the Apple blueprint here.

Jordan Wilson [00:07:43]:
I won't say it's the the safe route, but definitely the, safer than most. Right? Because all the other, you know, big tech names from, you know, Amazon and AWS, Microsoft, Google, etcetera, They've already kind of planted their flag down, you know, with their flagship AI products, and all we have from Apple so far is rumors, reporting, and rumbling. But, I do think, and I've said this, go back, I'll I'll try to find this this episode, but I said probably 7 or 8 months ago that Apple is obviously not going to be first. They will probably be last at the party, but they will be the coolest kid there. Right? And it will work. I think it'll work well. So definitely something to to keep an eye on. Hey.

Jordan Wilson [00:08:28]:
Great point from Juan here, talking about the the the tweet, kind of, Gemini esque colors. Juan, I do agree, although it does just seem now that is the, that's just the the new color scheme for AI for whatever reason, but great, observation here from Juan talking about this, tweet that we have on screen here from Apple's, VP of marketing that it does appear to have some of those Gemini colors. You know, the cool blue and the, the pinkish orange. So great observation there. But, yeah, it does, at least to me, it does seem like this is just the the the color scheme of AI. I don't know why that's a thing, but apparently, you know, if if you announce, you know, something AI heavy, it seems like you're using those colors, for for whatever reason. Alright. Let's keep it going.

Jordan Wilson [00:09:16]:
More AI news that matters. A huge one. How did this one get bumped to the 2nd slot, this week? A a 100 +1000000000 dollar partnership. But, Microsoft and OpenAI are collaborating on a $100,000,000,000 plus data center project with their Stargate supercomputer. Alright. Let's break down what this is and talk about why it matters. So here's here's the facts first. So Microsoft and a OpenAI are partnering on a groundbreaking project that could cost up to a $100,000,000,000 featuring an AI supercomputer named Stargate that is set to launch in 2028, so about 4 years out.

Jordan Wilson [00:09:54]:
So Stargate could host millions of powerful AI chips, and this project aims to meet the surging demand for AI data centers capable of handling more advanced tasks than traditional centers, driven by the rapid adoption of generative AI technology, top to bottom. Right? So real quick, I'm gonna take a break from, kind of my bullet points here and talk about why this actually matters. Right? So all the generative AI. So even what we talked about with, you know, whatever comes out in Apple's next iPhone, you know, set to be announced in June already. You you know, we have the Samsung s 24. You know, when we talk about, you know, different, you know, generative AI products all the time here. You you know, Google Gemini, Anthropic Claude, ChatGPT, you you know, Midjourney, OpenAI's SoRA, Runway. Right? So all of these, kind of, software that, you know, 100 of millions of people use, it needs powerful GPU chips.

Jordan Wilson [00:10:49]:
Right? So, and right now, there's not enough. Right? We've talked about some recent, announcements from NVIDIA and their new Blackwall chip. Might kind of change that and might give us the compute that we need. But right now, getting getting back to details on this supercenter. So the, the proposed US based supercenter is part of a series of supercomputers planned over the next 6 years, and is expected to be 100 times more costly than existing data centers. Yeah. Wow. So for context here, right, we just talked about Apple.

Jordan Wilson [00:11:21]:
Apple's campus reportedly costs about $6,000,000,000 and is the most expensive construction product in the US. So most expensive construction project. So, 6,000,000,000 versus more than a 100,000,000,000. Right? Obviously, a lot of the cost of that, is is associated with the, reportedly millions of AI chips. Alright. So, Mike, people are talking about, okay. How is this even feasible? Right? So Microsoft is likely to finance the project according to reports with significant costs focused on acquiring these AI chips, which are which are crucial for AI computing and are often priced at premium rates right now. So, obviously, the the cost of this could change, depending on, cost and availability for all these AI chips.

Jordan Wilson [00:12:07]:
But it's more than a 100,000,000,000. So expenses for the project could surpass a 115 billion, which is more than triple Microsoft's capital spending on servers and infrastructure in the previous year. Yeah. That's wild. Right? So the new project is designed to accommodate chips from various suppliers. Right? So this isn't just, the new Microsoft chips that they announced, and it's emphasizing the importance of infrastructure innovation to achieve advanced AI capabilities. So this collaboration highlights the significant investments being made in AI infrastructure, signaling a major advancement in AI computing that could have far reaching implications for various industries and technological advancements. So after all that, yeah, I had to get out all the details there because this is this is huge.

Jordan Wilson [00:12:56]:
Right? So we're talking about a literal 100 +1000000000 dollar project between the actual, infrastructure and, you know, all of the reported, millions of kind of AI chips that would be housed there within. This is pretty big, y'all. Like, you've if if you listen to the show, you hear, you you know, me and other guests talk about that all the time, about the importance of compute. Right? So, it's no no, secret that compute is the next currency. Right? When you have the most valuable companies in the world, look what they're doing with their money. Right? They're investing all of the biggest companies in the world, you know, even if we look here at the US, the magnificent seven, which are kind of the 7 biggest tech companies, your Google, Microsoft, Meta, etcetera. They're all investing in compute power. Right? Kind of the same way that, you know, we said data is is gold for the last 10 years and oil and all these other things.

Jordan Wilson [00:14:05]:
I mean, we're literally gonna be looking at a gold rush for GPUs or whatever the the future computing chip looks like that can help us achieve all of this generative AI. But, I mean, you cannot, I think take this news lightly, and you have to understand the importance of it. A 100 +1000000000 dollar, kind of project that we're talking about here. And like we said, one of the most expensive, kind of, capital or or construction projects here in the US to date is, Apple's, campus, which is $6,000,000,000. So, I'd love to hear what what, our livestream audience thinks about this, but I'll I'll keep it short here so we can get to more, AI news that matters. This won't be the last, I don't think. This won't be the last $100,000,000,000, investment that we see. It won't.

Jordan Wilson [00:15:02]:
I would assume, to see similar infrastructure projects that are just as big, probably from AWS, maybe from Google, potentially from, other other companies as well, which we're gonna talk about here, in a second. A new kind of group of companies teaming up, against NVIDIA. But, yeah, I'd love to hear, you know, even if you're listening on the podcast, I always put an email and, you know, even my LinkedIn. I'd love to hear what you guys think about this this new race, and if compute is the new currency. Seems to be what most smart people in the room are talking about, so I'd love to hear from you as well. Alright. Our next piece of AI news that matters, OpenAI has introduced its voice voice engine for text to voice generation. Alright.

Jordan Wilson [00:15:53]:
So OpenAI has launched Voice Engine, a text to voice generation platform that creates synthetic voices based on very short voice clips. Alright. So this technology allows for the creation of AI generated voices that can read out text in multiple languages, aiding industries such as education, healthcare and communication apps. And reportedly, it only requires about 15 seconds of source audio, which if you've done any work with AI voices, we talk about companies such as, 11 Labs, Wellsaid Labs, you you know, and most of the big companies are creating their own, kind of, voice AI voice platforms. Having only 15 seconds needing only 15 seconds of reference audio is kind of wild, especially if it produces results similar, to to to what we're seeing here from Voice Engine. Alright. So for our live stream audience, hopefully y'all can hear this. Let me go ahead and we're gonna share, we're gonna go ahead and share a quick example here if I can bring it up.

Jordan Wilson [00:16:58]:
Hopefully everyone can hear this. So, we'll have this in our newsletter so, if if you're on the podcast, you can, make sure to go to your everydayai.com. Sign up for the free daily newsletter. We'll be sharing a link to where you can go, kind of listen to this, yourself. So here we go. In the first clip, these are just 2 very short clips I'm gonna play. So we have, the reference audio. So I'm gonna first play the reference audio.

Jordan Wilson [00:17:22]:
So in theory, whenever, people get access to this, this is not publicly released. Similar similar to Sora, OpenAI is just, releasing this kind of internally right now and letting us all, you know, kind of drool over the capabilities. But here is the reference audio. 15 seconds. Let's take a listen.

AI [00:17:43]:
Force is a push or pull that can make an object move, stop, or change direction. Imagine you're riding a bike down a hill. First, the push you give off the ground is the force that gets you going.

Jordan Wilson [00:17:58]:
Alright. So hopefully and and, hey. Live stream audience, I'd I'd love to hear just to confirm that that, we could hear that. So now here is the generated audio. So this is, reportedly from OpenAI's, kind of platform here. This is the generated audio based off that 15 second reference clip. Let's take a listen.

AI [00:18:18]:
Some of the most amazing habitats on earth are found in the rainforest. A rainforest is a place with a lot of precipitation, and it has many kinds of animals, trees, and other plants.

Jordan Wilson [00:18:30]:
Oh, that's wild. Alright. Here we go. I'm gonna do about a 5 second clip. So here we go with the, again, reportedly, this is all we have, but here is a very quick listen to the reference audio first.

AI [00:18:43]:
Force is a push or pull that can make an object move, stop, or change direction.

Jordan Wilson [00:18:50]:
And then we have the AI generated version here. Let's take a listen.

AI [00:18:54]:
Some of the most amazing habitats on earth are found in the rainforest. A rainforest is a place with a lot of

Jordan Wilson [00:19:01]:
Yo. That's wild. So we've used, here at EverydayAI, we've used so many different voice cloning technologies. A lot of times we just do little tutorials and we just like to see where the technology is headed. This is wow. Yes. Okay. So, I I agree with what Josh just said here.

Jordan Wilson [00:19:20]:
Just wow. Tara is saying love the voice. Reminds me of a PBS type show. Yeah. Pretty pretty good voice there. Right? But, yo, I cannot state this. Like, that is amazing. It the quality and the ability to replicate that voice, which, you know, the the the source audio or, kind of the source voice there was pretty unique voice.

Jordan Wilson [00:19:45]:
Right? And the ability to replicate it, kinda shocking, right? Especially if all it does take is 15 seconds of reference audio. And and y'all, alright, I'm I'm I'm gonna save some of my takes on this for, for a second. But let's get back to, kind of some of the details of this. Right? So we teased it. Let's talk a little bit more about what this means. So, right now, there's going to be partners who are, apparently gonna be getting early access to voice engine, and those partners include, and this is according to OpenAI, include Age of Learning, HeyGen, Damaji, LiveVox, and Lifespan, showcasing diverse applications from prescriptive voice overs to real time student responses. Alright. So a little more about OpenAI's voice engine.

Jordan Wilson [00:20:33]:
It's trained on a mix of of licensed and publicly available data, with only about 10 developers currently having access to the model. Jeez. Only 10 people. Alright. So OpenAI emphasizes ethical usage policies in the blog post that we'll be linking, in the newsletter, prohibiting impersonation without consent, requiring explicit speaker consent, and adding watermarks to trace audio origins. Alright. So we also have to talk here about the US government because the US government is taking steps to regulate AI voice technology with recent bans on AI voice cloned robocalls to prevent misuse. So open AI suggests that they're taking a lot of measures to mitigate risks associated with this new AI voice technology, including phasing out voice based authentication for sensitive accounts and developing tracking systems for AI content.

Jordan Wilson [00:21:24]:
So, yeah, this should be, pretty interesting with only 15 seconds needed for reference audio and with all of the privacy data, deep fake concerns. Right? So so here's the thing. It's not hard. It's not difficult right now to clone someone's voice even without, their consent. So, it is going to be interesting when you, rep I mean, presumably, this technology is gonna be able to be used by 100 of millions of people. Right? So we have that list of, you know, partners who may be getting early access, to this voice engine technology, including Age of Learning, Heygen, Dimaggi, LiveX, and Lifespan. Alright. So is this scary? Absolutely.

Jordan Wilson [00:22:10]:
Right? But techno it's it's one of those things. Is the technology technology almost now too good? Right? Voice cloning is not new. It's been around for many years. Or just AI voices have been around for many years. But for the most part, it's either required just a lot of source audio and then the quality of the voice might not be there. It might be 80%, 90%. At least with this one example of of what we have here from OpenAI I mean, again, I'm not a a a professional audiologist. I don't even know if that's a thing, but it sounds pretty accurate.

Jordan Wilson [00:22:45]:
It sounds pretty accurate. I would say, I don't know, about 90, 95%. My hearing's not great. I'd love to even hear from our livestream audience. What percent would you say that replicated? Because it sounded almost identical to me. Yeah. Great great point here from Rolando saying if you are an author, you do not have to read your own audible version anymore. Yeah.

Jordan Wilson [00:23:07]:
Obviously, you know, we talk about even job displacement. Right? Will voice actors have a future? I I I don't know. Right? That at least seems to me one of those kind of areas where, you know, I think the jobs are going to very, very greatly change pretty quickly. Alright. Let's keep going on with the AI news that matters. Alright. Our last big story of the day here, NVIDIA is facing challenges as tech companies are uniting to break up NVIDIA's AI dominance. So a group including Intel, Google, ARM, Qualcomm, and Samsung is developing an open source open source software suite called the Unified Acceleration Foundation.

Jordan Wilson [00:23:52]:
So that is for short, UXL, and this is to counter NVIDIA's AI market domination. Alright. So this new project aims to prevent AI developers from being locked into NVIDIA's proprietary tech, allowing code to run on any machine and chip. So this new u x l collaboration, it includes the open or sorry, the one API open standard developed by Intel to eliminate dependencies on specific coding languages and tools specifically tied to NVIDIA's CUDA platform. Alright. So NVIDIA recently became the 1st chipmaker to reach a $2,000,000,000,000 market capitalization, driven by its focus on AI hardware, like their chip, the H100 and the upcoming H200 GPUs. Also, NVIDIA's CUDA architecture, CUDA. It currently outperforms all competitors and it's led to a high demand and chip scarcity.

Jordan Wilson [00:24:54]:
Alright. Little more quick here about the UXL project. So, it initially is aiming to broaden options for AI and high performance computing applications with plans to eventually support NVIDIA's hardware and code. So pretty pretty interesting there. They're going full open source, including, the ability to, collaborate or to use, NVIDIA's hardware and code as well. So they are seeking, UXL is seeking collaboration with additional chipmakers and cloud computing companies such as Microsoft and Amazon to ensure broad deployment possibilities. Alright. So this is an interesting one.

Jordan Wilson [00:25:35]:
I'm sure this has happened before, but I was trying to even think when was the last time that you had competitors. Right? So as an example, Google, Intel, Qualcomm, Arm, these are all companies, multibillion or $1,000,000,000,000 or $1,000,000,000,000 companies teaming up. You don't see this often. You don't see this often. I think everyone is is finally catching up to what I said literally almost a a year ago. I think I had an episode here on everyday AI. So, hey, if you've been here since that original episode, thank you. But about 9 months ago or so, I had an episode saying why Nvidia is the most important company to the US economy.

Jordan Wilson [00:26:21]:
I don't think people understood then, and I still don't know if people have even fully understand it now. Right? Like, back when that episode, NVIDIA, I don't even think was a top 20 company in the US, and now they're a top 3 company by market cap. They are so far ahead of everyone else, it's not funny. Right? Yes. I was lucky enough to partner up with NVIDIA, and went to their GTC conference, you know, about now 10 days ago. Feels like I'm still, you know, jet lagged from from that trip and, you know, great conversations that we were able to have out there. But NVIDIA is so far ahead. Even their most powerful chip right now that is currently on the market is being replaced.

Jordan Wilson [00:27:03]:
Right? So, their hopper chip is being replaced by this Blackwell chip that is depending on what metric you look at, it is extremely not only more powerful, you know, on some reports and benchmarks, it's 20 times more powerful, but it's also 10 x more energy efficient. Right? So not only is NVIDIA ahead of literally every single company in the world that has products, but their new Blackwell system is exponentially more powerful and more energy efficient than their current, chip that is already leading the world in computing. Alright. So very interesting, development here, and it's something that I think we should all be keeping an eye on, is this this, group of technically competitors, right, Google and Intel are competing with each other. Samsung and and Qualcomm are are competing with each other. But they're all coming together to form this UXL just because, essentially, they've noticed that NVIDIA is so far ahead, and they don't see any other way to keep up or to catch them except to come together. Right? This, to to to me, it's it it has that, like, what? The 2013 Miami Heat. Right? If if you're an NBA fan when, you know, all these, you you know, the LeBron James and and, you know, who was that? Chris Bosh and and Dwayne Wade when, you know, essentially, all these superstars came together and and formed a super team.

Jordan Wilson [00:28:28]:
And everyone's scratching their head, and it's like, oh, is this even legal? Is this even fair? Well, I mean, maybe we're gonna see something like that with UXL because, NVIDIA is is so far ahead. It is literally requiring a super team of companies to come together and to form together to say, hey. This is the only way that we feel that we can catch up or keep up, with what NVIDIA is doing. Alright. So that is it for today for the AI news that matters. We appreciate you tuning in, and if you haven't already, please go to your everydayai.com, sign up for that free daily newsletter. If this was helpful, we'd really appreciate telling your friends, tell someone about this. Share this episode.

Jordan Wilson [00:29:14]:
So many of these episodes take 5, 10, 15 hours to plan, and we do it every single weekday. So it takes you about 5, 10, 15 seconds to go ahead, repost this to your network. If you're listening here on LinkedIn, retweet it, re exit, whatever it's called. We appreciate your support. Please tune in tomorrow for our hot take Tuesday. Thank you for tuning in today, and we hope to see you back tomorrow and every day for more everyday AI. Thanks, Al.

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