Everyday AI Podcast – An AI and ChatGPT Podcast - EP 255: AI News That Matters - April 22nd, 2024

Episode Date: April 22, 2024

Will Meta's Llama 3 take the LLM crown? Is Microsoft's VASA-1 so good that it's dangerous? What does the new Atlas model from Boston Dynamics mean for the intersection of AI and robotics? We'll catch you up on all of that and more, with this week's AI News that matters. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTimestamps:02:20 New developments in Meta's llama.05:03 Try Llama 3, important updates, December 2023.08:30 Anthropic's models range from 8B to 400B parameters.12:43 Artificial intelligence creates hyperrealistic talking head videos.14:55 VESA 1 technology creates videos from one image and voice.19:19 Boston Dynamics introduces electric Atlas robot model.23:09 Next iPhone may partner with Google or OpenAI26:40 Instagram post hints at Caitlin Clark's success.Topics Covered in This Episode:1. Introduction of Meta Llama 32. Microsoft's Introduction of VASA 13. Miscellaneous AI and Tech NewsKeywords:Jordan Wilson, Meta, Llama 3, Microsoft, visa 1, chat GPT 5, Meta AI, open model, closed source models, OpenAI, Google, public use, Facebook, knowledge cutoff, download, fork, benchmarking, parameters, model, Mark Zuckerberg, CEO, Google Gemini, Anthropic's Quad 3 OPUS, VASA 1, AI framework, hyperrealistic talking faces, lip syncing, AI-based movie making, Atlas robot, TED Talks.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. Is Meta's new Lama 3 the best open model that we've seen?

Is Microsoft's new Vesa 1 too good? And is it scary? And also, are we going to be seeing a new chat GPT5 today? Well, I'm going to answer all of those questions. Well, as best as I can today and more on everyday AI. What's going on y'all? My name is Jordan Wilson. I'm the host of Everyday AI, and this is for you.

We are your guide to learning and leveraging artificial intelligence. So we do this every single day, Monday through Friday, live stream, podcast, free daily newsletter, free daily newsletter to help all of us grow with generative AI, to grow our companies and to grow our careers. So if that's you, thank you for joining us. If you're listening on the podcast, we do this usually every single Monday where we bring you the AI News that matter. because you can spend hours literally every single day trying to keep up worrying about what's what's this new update uh how can i use this to grow my company grow my career or you can just tune in on mondays and we'll give it to you straight right uh so extremely excited and a lot to cover today but as a reminder if you haven't already if you're listening on the live stream or the podcast

please go to your everyday a i.com and sign up for that free daily newsletter because yes we're to be covering, you know, about a handful of some of the top stories in generative AI. However, every single day, we bring you the most relevant AI news as well as a lot more today in the newsletter. So if you haven't already, make sure to check that out on our website as well, more than 250 recaps that you can go back and watch for free. All right. So let's get into it.

And hey, if you are joining us live like Michael's joining us from Brooklyn on YouTube and Mike Forgey joining us as well. It's sunny in Milwaukee for Raul, and that's great. So, hey, thank you for everyone joining us live. I'd love to hear what you think of some of these news stories as we go along. But, hey, without further ado, let's get started. So probably one of the biggest AI news stories in a long time, actually. Meta has introduced not just the meta-a-I chatbot, but also Lama 3, which I think could be a game changer for large language models.

So meta, the parent company of Instagram, Facebook, WhatsApp, and I don't know, just about everything else. They just introduced their Lama 3 model, a somewhat open source AI model used to develop their AI chatbot. They're claiming it to be the best open model of their class, of its class. And potentially, it looks like it's already surpassing some closed source models from Open AI and Google. So we'll take a look at that here in a second. So here's what this means. meta has unveiled, which I think is probably one of the bigger pieces that people are talking about, but meta has unveiled. It's standalone AI chatbot meta AI. So you can go check that out at

meta.aI. And they've also integrated meta AI into all of its major apps, such as, you know, Instagram, Facebook, and WhatsApp. So you can go and chat with the new meta AI. So the launch of metaaI outside of meta's social media. ecosystem positions the company as a strong competitor in the chatbot market challenging leaders like OpenAIs, chat GPT, and Google Gemini. So essentially, here's what you need to know for this. So previously, with previous versions of Matas Lama, so with Lama 2, its previous most powerful model, it wasn't available for the general public. I mean, it was, right? So you could go in and you could download the model, but that did require a little bit of tech know-how. It required a pretty fast

computer with a good GPU. So most people, you know, you and me, average people, you couldn't really run it, right? Even on most of, you know, I use a couple computers. I think meta's Lama could only run on my one fastest computer, right? So this is different now. So meta, I think, is really shifting its strategy here with Lama 3 and now metaaI. So yes, anyone can go to meta.a.i and try the model out. What I like is, you know, it's, you don't even have to log in. So you can log in if you want to save all of your chats. So this is, you know, now very similar to chat GPT, where you can just go on and start using it for free.

So that's the other thing to know right now is meta's models are free to use. We'll see because there's another one coming, which I'm going to talk about here in a second. But right now, if you go to meta AI, you can even log in with your Facebook account. If you want to save your chats to go back and use them later, However, right now, you don't even need to. So you can go and give Lama 3 a try. So let's look at some things I think that are important here. So like we talked about, you can go in and for our live stream audience.

I kind of have an example here like ChatGPT and Gemini when you log on to Meta AI. They give you kind of some example prompts. And then also a couple other things worth noting is the knowledge cutoff is December 2023, which is pretty nice, right? When we talk about using large language models, one of the biggest things you have to worry about is hallucinations. And is it giving you up-to-date information? Is it just making things up?

So the December 2023 cut update is pretty good, right? So that's only about four months ago now. And right now, it's only ChatGPT's newest update that has it to December 20203 as well. So Matt, I think making some noise here with the open source model. And we're going to get into this a little bit more in the website because I don't want to go into the details on like, is it truly open source? You know, yes and no. So we'll get into that in the newsletter. But here's what else this means is you can download the entire model right now.

And you can essentially fork it. Right. So what that means is you can kind of create versions, you know, or variations of this model. You can connect your company's data to it as well. You know, you'll have to have a little bit of tech know how, you know, to take advantage. of that and, you know, using RAG to bring your own company's data in. But, you know, already meta is, MetaSlamma 3 is benchmarking. I won't say off the charts because it's still on the charts, but for a pretty much open

model, this is pretty, like, I'd say it's unexpected, right? Like, you normally don't expect open source models to compete with closed proprietary models from, you know, Open AI, from Google, from Claude. but let's actually look at that. So for our podcast audience, I'm sharing a chart now. But essentially right now, we have the two different variations of Lama 3. So you have their 8 billion parameter model and their 70 billion parameter model. So let's just call these small and medium.

All right. There's a large. I'll tell you about that here in a second. All right. So right now the 8 billion parameter version of Lama 3. So kind of the comparison that Meta Share, in its benchmarking. This is its own internal benchmarking, right? But we'll share a little bit more on that here in a minute. So right now it is hitting well above kind of Google's Gemma, 7 billion parameter

model and also Mistral's 7 billion parameter model. So, you know, when we talk about MMLU, which is one of the most popular benchmarks that we talk about a lot here on the show, which is the multitask language understanding, sorry, the massive multistons, task language understanding. It's essentially like, hey, is this model as smart or smarter than a human, right? More or less. So right now, the meta 8 billion parameter model is outpunching its weight class by far for those smaller models.

And then we look at the kind of quote unquote medium model. So that is the 70 billion parameter. And what meta is comparing it to here is Gemini Pros, 1.5. So that's from Google. So that's kind of its middle model. as well as Anthropics middle model. So Anthropics, Claude, Sonnet. So as well, that has 70 billion parameter model there,

just barely getting above Gemini Pro in the MMLU, and then a couple points ahead of Claude's sonnet. So what most people were talking about when this came out is, oh, well, what about Chat-G-T-P-T-4? What about Claude's most powerful model, Opus? What about Gemini's Gemini Ultra, right? So that's the thing. These are technically meta's medium models.

Okay. So they do have another model as part of this Lama 3 release, which is a 400 billion parameter, right? So we have the 8 billion, 70 billion and 400 billion parameters models. So without getting too technical, that's just the amount of data that these models carry with them. And obviously, when you think about downloading and using these models locally, 70 billion is already a pretty big model to try to run locally, right? I mean, the smallest model is pretty big model to run locally. So this should be, we should be hearing more about this 400 billion parameter model because,

and I did share about this, you know, about an hour after it came out, you know, if you follow along on LinkedIn, I shared a pretty long, long breakdown, actually, of this new unreleased model for meta, what it could mean. and with the potential benchmarks because Mark Zuckerberg, Meta's CEO did already share some kind of in-progress benchmarks for the 400 billion parameter model. And he was saying that it was already hitting near GPD4 and some of these other models. So pretty interesting news here from Meta.

And yes, so Jackie, yes, you can go download it. So yeah, we'll have those links in the newsletter. So, you know, for our live stream audience, if you are new to Lama, yeah, you can download it. But also, unlike previous versions of Lama, you can just go on to meta.a.i right now and use the, I believe that's the 70 billion parameter flavor that they have available on meta.ai. So, yeah, you can download it and you can play around with it. And, you know, there's obviously different apps also that you can download for your desktop that makes it much easier to run these models locally, and we'll be sharing about those in the

newsletter as well. All right. Let's keep this thing going. Actually, no, I do want to talk about this as well. So if a lot of people don't see this, but Matta did say that primarily that Lama 3 was trained for English. So if you go on to the chat arena lead aboard, which I'm probably going to have a dedicated episode on that once, you know, so essentially it takes.

these ELO scores, which is kind of an old scoring. I wouldn't say old, but it's a scoring system kind of borrowed from chess in other competitive games. But, you know, essentially an ELO score is when you kind of pit two models blindly side by side. And, you know, there's been tens of thousands or actually now 500,000 votes on, you know, which model is stronger. I do this all the time.

Anyone can go on. We'll share the link in today's newsletter. And people essentially, you know, it's like the blind Pepsi taste test. I don't know if anyone remembers that, you know, marketing from like 20 years ago. You know, you get outputs. You can put a prompt in. It'll give you two outputs from two different models. They don't tell you which model.

You vote which one's better. But already, Lama, if you just look at English, right? So if you don't look across all languages, Lama is already beating out the most powerful available model from Google Gemini, which is their Google Gemini Pro. and also Anthropics Claude 3 opus. So already, Lama is hitting heavy. All right, our next piece of AI news.

This one also kind of scary, but Microsoft has unveiled its Vesa 1 image-to-talking video model. I don't know if that's what we're calling it image-to-video, but it is for essentially real-life human avatars. All right, so they did this via research paper. So Microsoft's Vesa-1 AI research paper has introduced a cutting-edge framework for creating hyper-realistic talking faces by converting a single portrait photo and an audio file into a live animated talking head video.

So VASA 1 showcases impressive lip sync, realistic facial features and head movement, setting a new standard in AI-driven animation technology. So unlike other existing tools, VASA 1 can work with photos, photos facing various directions and incorporating factors like eye gaze direction, head distance, and emotion for enhanced control and realism. So potential applications of VASA 1 include advanced lip syncing for games, creating virtual avatars for social media, and enhancing AI-based movie making for more realistic content.

And I'm curious for our live stream audience or, you know, hey, you can always check your show notes if you're listening on the podcast. podcast hit me up. Have you all seen this? It's actually wild. I'm going to show it here in a second. So if you haven't seen it, don't worry. But despite this being just a research preview,

BASA 1 has demonstrated exceptional performance. Like it's really scary good. Included perfect lip syncing to songs and handling different image styles like the Mona Lisa, generating a 512 square pixel image at 45 frames per seconds. in just about two minutes using an Nvidia RtX 4090 GPU. So this part's important. Right now, there are no immediate plans for public release. Thankfully, right?

Like, I don't think you want to see something like this, something this powerful released right now, especially right before the election here in the U.S. But the technology's potential impact on industries like gaming, social media, and entertainment is significant. And this is hitting at a future where AI-driven animation could become more accessible and widespread. All right, so let's go ahead for our live stream audience.

Let's go ahead and take a look here. So I'm going to go ahead. Let's just do this. I'm trying not to block. We'll just do the middle one here. So essentially, this is, let me recap and tell you what this is in a nutshell. So base off one image, just a single flat image. This new VASA one technology is able to create,

these videos. So it does need one base image as well as a voice. And then from there, it can create this. So I'm going to go ahead and play a couple examples here for our live stream audience. Again, this is based off one still photo and a training voice. So you do need a voice to start with. I don't know if the base of one has kind of default the voices that they use, but I'm pretty sure it's a person will upload their own voice. So let's go ahead. take a watch and listen. We'll just do two examples. We'll just do about half of them because they're each about a minute.

Have you ever had, maybe you're in that place right now where you want to turn your life around. And you know somewhere deep in your soul, there could be some decisions that you have to make. Like you know, like it's like things, something was decided for you. And instead of trying to make something that is done work, it's like the invitation is to make the decision. commit to that. Y'all, have you seen this? This is wild. This is wild.

Like, okay, if you're listening on the podcast, obviously, you can tell the quality of the audio, right? And even, I wouldn't say stutter, right? Like, ah, sometimes I'm stuttering around and mumbling around. But it has this inflection in the voice that you don't get right now from any, you know, text to speech AI, text to speech generators, any obviously video generated. the quality is mind-boggling. Yes.

This is wild. Yeah, and I do know, like, you know, Matthew here shared like, you know, an example of, Hey, Jen. So, yeah, there's a lot of programs right now that do this, but I will say right now, at least compared to the VISA, this VESA one model, which is not publicly available. This model is so far ahead of others, I would say. Pretty, yeah, scary, real. Yeah, TC here says that's terrifying.

Matthew says, but my video editor friends are scared. Yeah, it is scary. Good. Let's take a look at one more example here before we go on with more AI news. Here we go. The first thing we need to look at is the letter H, so the sound at the beginning. It depends what country you're from, but many native languages have a problem with putting too much tightness in the throat. and it can become more of a h-h sound.

So it's very important not to over-exaggerate this sound. It's a very soft, very relaxed sound in English. So just softly release the sound. Help. Okay, so that's the first thing. All right. It's almost like so, it is, yeah, it's, it's so good. It's scary almost, right?

So in that example, and again, we will have the links that you can actually go and download these videos if you want, right? So I do like that Microsoft is making this available, as well as they have just a lot more information, right? So kind of scrolling through here, this paper talks a little bit about how this new technology works, how it takes a single image, an audio clip, and then essentially control signals that you can put in there as well

in terms of if or how you might want the avatar. It's so weird calling it an avatar because it looks way, way human, but you can kind of have a certain level of controls. All right. Let's keep this thing going. All right, our next piece of AI news for today. Boston Dynamics has unveiled a fully electric Atlas robot for real world applications. All right.

So Boston Dynamics has introduced a fully electric version of its humanoid robots, Atlas designed for real world and commercial applications. So Boston Dynamics, a leading robotics company, aims to showcase the enhanced capabilities of the electric atlas in a lab setting, factories, and everyday life. So previously, Boston Dynamics, I'm sure most of you have seen and heard. They had an Atlas robot before that they kind of retired, making way for its new, much more humanoid but electric iteration of Atlas. So the transition from hydraulic to electric power was made possible through a partnership with Paiyende, focusing on advanced automated manufacturing capabilities. The development of the new Atlas robot showcases the continuous evolution of AI technology in the field of robotics, paving the way for enhanced capabilities and application in various industries. The electric Atlas boasts increased strength in wider range of motion compared to its hydraulic predecessor,

predecessor, enabling it to handle diverse manipulation tasks in various environments. And despite the technological advancements, the release of the Electric Atlas has sparked skepticism on social media. Obviously, people drawing parallels to science fiction scenarios like The Terminator franchise. So let's go ahead. We're going to do this one as well. Give everyone a quick little 20, 30 second video here that Boston.

and dynamics shared on their on their Twitter. So let's go ahead and give that a play. So I don't think we really need the audio here. There's not really audio. So essentially what we have here is, yeah, a robot, humanoid robot doing a back bend in a very scary fashion. And then walking, turning its whole body around, displacing its hips, right?

It looks like you can walk in all direction. There's no front or back. I mean, there's a lot of AI in this latest iteration of Boston Dynamics. So we'll be sharing about that, obviously, more in today's newsletter. All right. There's more. Yes, big Apple news. Hey, any other day, any other day, this could have been our lead story, if I'm being honest.

Hey, thanks for what Matthew just said here from the live stream, said Jordan is helping us manage information overload effectively. Well done and fun to follow along. Well, hey, thanks, thanks, Matthew. Make sure to check out the daily newsletter as well today. That'll make it even easier. But let's talk about this new report. So Apple is going to be introducing on-device generative AI features for iPhones.

So Apple is developing its own large language model to power on-device generative AI features for upcoming iPhone series, according to a recent report from Bloomberg. So this new AI model is expected to run entirely on-es-executive. the device. So we're talking edge AI on device AI, not cloud. So enabling offline functionality without internet connectivity. So Apple plans to leverage the neural processing unit or NPU of the Apple silicon chip to offer new AI capabilities. Apple, so again, this is where it's like, wait, which direction is Apple going? Right? Because we talked about here on the show like eight months ago, a report that said Apple was spending millions with an S millions of dollars a day on its own generative

AI technology, presumably for this exact reason. And then a couple of weeks ago, we got a report that Apple was actually, no, they're partnering. You know, they're going to be partnering with maybe Google and, you know, either using Google's Gemini, nano, you know, model or maybe one of its Gemma models. So there has been, obviously, Apple reportedly still exploring partnerships with Google, with Microsoft back OpenAI and with China's Baidu for AI into its next generation operating system. But this Bloomberg report is saying, no, they're actually going in a different way. So, you know, they're not saying if this is going to be for the next iteration.

So we could see as an example, the next iteration of the iPhone may be partnering with a Google or an OpenAI or China's Baidu for the model. and then maybe the next iPhone or the next device after that might have Apple's own internal model. So we'll have to see. But regardless, Apple's approach to marketing its AI features will focus on how they can assist users and managing daily routines rather than emphasizing speed and power. So we should see a lot more news or kind of which direction Apple is officially going on this during the worldwide developer conference. So that's WWDC, this June, starting June 10th, and where Apple is expected to unveil not just, the next generation of its operating systems, presumably powered by AI, but also now hardware,

right? On-device AI, pretty big news. But Apple is also planning reportedly to integrate these generative AI capabilities into series messages, Apple Music, pages, keynotes, essentially across all of its ecosystem there. But Apple's reported aim is to enhance the user experience with features like text summarization, suggestions, and more thorough AI integration. All right. Let's, I mean, what do you all think, though? I was taken aback by the report about a month ago that said that Apple was looking into exploring third-party partnerships. I don't know.

I've been extremely underwhelmed by Google's model, and that's what the last report said, is that Apple was going to be kind of, you know, partnering or working with Google's model. It's like, I don't think that's a good, good call. So we'll see if that's what's happened or if, you know, who knows, maybe Apple is just going to have a lighter version of generative AI features, you know, announced in June and maybe there will be a more in-depth one, you know, the year after or, you know, at a later announcement. All right.

So our next piece of AI news. Oh, yeah, here we go. We're talking internet conspiracy theories. Yeah, I don't know if you guys saw this, but when I was sharing. sharing my my screen here on the Boston Dynamics story. You'll see on the right hand, so this is on Twitter or X or whatever people call it now. But you'll see it says, oh, trending. What's happening?

GPT5. And you might have seen this and you're like, wait, why is that trending? Well, let's talk about it. So there's been a lot of speculation over the last week because OpenAI posted a photo of a throne with the number 22. weekend. I'll get to what that means. But essentially all these, you know, geeky people like me, but internet conspiracy theorists are convinced that that means chat GPT's GPT5 will be released today, April 22nd, right? Throne with a 22nd. Why, why today? Well, today is Apple or sorry, OpenAI CEO Sam Altman's birthday, April 22nd. So that's what everyone's been, you know, saying is like,

oh, it's coming today. So yeah, if you're on social media, seeing this on Twitter or LinkedIn or anywhere else, I'd say this, don't believe it. It's not happening because guess what else you notice there? There's a basketball, all right? So also, if you look at the caption or the prompt that was used to generate this, it's a queen's throne.

So what does that mean? A basketball plus a queen's throne plus the number 22. Does that ring a bell for anyone? maybe Caitlin Clark, right? Because also along with this timing, and this was posted to Open AIs Instagram story last week, I don't follow, you know, anyone on Instagram. I just saw all the, you know, rumors swirling around. But it just so happened to be the exact same timing of Iowa had kind of a celebration

for Caitlin Clark and the Iowa women's basketball team, as well as she just went number one with the overall number one pick. in the WNBA draft. So most people, I think, are looking at this as kind of like a, you know, an ode to her and in her success. But yeah, so be, watch out. Everyone, everyone out there today is saying, oh, the new version of GPT5 is coming out. You know, look at what Lama just did.

And, you know, a couple weeks ago, we got updates from Google's Gemini. And, you know, Claude 3 now has been out for about two months. So people are like, oh, today's the day. I'll tell you this. No, absolutely. not. I don't know. I could be wrong, but I give it about a 0.0% likelihood that we get a new GPT5 today. Sam Altman's talked about on, you know, some recent interviews that there's going to be multiple kind of refreshes or updates to their platform. He has signaled that, yes,

there will be a new model this calendar year. I don't think we're getting it today. I don't even know if we're going to be getting any updates from Open AI today. I wouldn't think so. But presumably, we will first be seeing updates probably with Open AIs whisper, voice translation, maybe with their dolly three. Maybe we'll get a dummy down version of SORA available. So Open AIs, you know, AI's AI video project. But yeah, I don't see anything happening there with today in GPD5. All right.

In our last story, so TED Talks went all in on a SORA looking. future. So TED Talks just posted this over the weekend, a little AI video made with SORA. I'm going to show you guys just the front half of this here because it's like a three-minute video. Very, very impressive video, but let's just take a look at this one. So give me a second here, live stream audience. You can take a look. I will put the audio on for this one. We're just going to let it play for 20 or 30 seconds. So you can see another great example. This is TED talks, and we'll link this tweet in our newsletter. So it says, what will TED look like in 40 years?

For TED at 2024, we worked with a couple artists. It looks like Paul Trillo and OpenAI to create this exclusive video using SORA, their unreleased, text, a video model. All right. So let's just take a look at what this looks like. All right. And then, hey, we'll end there on this strange, you know, looks like some lab grown meat or something that we have going on.

there. So yeah, it didn't get the best reception, right? So I think the video was actually surprisingly well done, right? And if you're listening on the podcast, you can always go back and, you know, watch, you know, today's episode, the video of it so you can see or check it out in the newsletter. But essentially, it's flying through, you know, a set of cornfields and then through these, you know, futuristic buildings, presumably, you know, people are giving TED talks in these various settings, but it's just kind of a continuous one shot, kind of flying through, you know, a series of inside and outside, but very futuristic looking venues, but didn't get the best reaction.

Didn't get the best reaction here on Twitter when someone said, this is what Ted would look like in 40 years, a random generated video that doesn't make much sense plus meat slabs. So, yeah, I, hey, I thought it looked pretty, pretty cool, but didn't get the best response there in the Twitterverse. So what do you guys think? So much happening today in the world of AI news. So hey, we'll just give you the quick 30 second recap here. So meta has introduced Lama 3, its new pretty much open source model that is benchmarking

off the charts as well as its meta AI kind of chatbot and rolling it out across its different platforms. Microsoft unveiled its scary good, Vesa 1 image to talking video model. We showed you some examples of that. It is not publicly available, luckily, because it's too good, and it would not be a good time right before the election here in the U.S. So you can go read the paper and download some examples that will have in our newsletter. Boston Dynamics unveiled a fully electric Atlas robot,

powered by a lot of AI. after retiring its hydraulic version of Atlas, which has been out in the wild there for a couple of years. Apple, according to a Bloomberg report, is introducing on-device generative AI features for its upcoming iPhones, which kind of goes against some previous reports that they would be partnering with maybe a Google

or a chat GPT instead. Rumors are swirling that chat GPT is going to release or Open AI is going to release GPT5 today after a not very cryptic, but you could say it's cryptic story on social media. I'd say no. I'd say that's just more Caitlin Clark. And last but not least, TED Talks kind of getting roasted a little bit for its take at a look of the future with SORA.

So that is it a lot more in our newsletter. So make sure you go to your everyday AI.com. And please join me tomorrow. We're going to come super hot for Hot Take Tuesday. So join me tomorrow and 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. Stay in 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 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.