EP 380: Adobe Max AI Announcements - What’s new and will it matter?
2 Jan 2026 · 0 min
Podcast episode (Everyday AI, host Jordan Wilson) covering Adobe Max AI announcements (Oct 15, 2024). Key takeaways: Adobe launched Firefly video (limited beta; available in Firefly web app and Premiere Pro) enabling text→video, image→video, and a Premiere Pro Generative Extend that can add up to two seconds of generated footage while preserving camera/subject motion (needs ≥3s of source). Photoshop received a generative workspace using Firefly Image 3 (claimed 4x faster), with improved generative fill/distraction removal. Adobe emphasized in-house training data and non-scraping of the web (though reports suggest ~5% of images used were AI-generated by other platforms). The host positions Adobe's move as likely to mainstream AI video by integrating it into professional workflows; compares with OpenAI's Sora (higher-quality in previews but not widely available) and Runway/Pika Labs integrations. Episode also summarizes industry news about chips, power, and partnerships (Amazon+Databricks; Nvidia stock/Blackwell demand; Google+Kairos Power).
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Adobe just announced a slew of new AI updates at their Adobe Max conference. And here's the reality. For whatever reason, I think when we get big AI updates from Microsoft or Canva or Google or OpenAI, a lot more people talk about these updates, but maybe not as many people use them. Here's what I think is happening with Adobe. This is actually going to bring AI video and AI photos into the mainstream, maybe even more so than all of those other tools and companies that I talked about. So I actually think there's a lot of that Adobe just announced at this Adobe Max that's going to impact us all. So what's going on, y'? All? My name is Jordan Wilson and welcome to Everyday AI. We're going to be talking about everything that's happening with Adobe Max and their AI announcements and if it's actually going to matter, and I think it will. So thank you for tuning in. If you're new here, Everyday AI, it's for you. We're a daily live stream podcast and free daily newsletter helping everyday people keep up with what's going on in the world of AI and how you can use all of this knowledge, all these new tools and techniques to grow your company and to grow your career. So if that sounds like something that you'd like to do, well, you're in the right place. So if you haven't already, please make sure to go to your everydayai.com Sign up for the free daily newsletter where every single day we not just tell you what's going on in the world of AI news and fresh finds from across the Internet, but we break down our live stream podcast show every single day in the newsletter. So, you know, maybe you're out there walking your dog right now or running on the treadmill. Hopefully not running your dog on the treadmill. I don't know, maybe people do that. But if you miss any tidbits from today's show, don't worry, we always recap it in the newsletter. All right, before we dive into today's topic of Adobe, the Adobe Max AI announcements, everything that they unveiled at their big conference, let's first start, as we do every single day, by quickly going over the AI news. So first, Amazon and Databricks have partnered to cut AI costs for businesses. So this is literally brand spanking new announcement a couple of minutes old. So Amazon and Databricks have just announced a five year partnership that could significantly reduce costs for companies looking to develop for companies looking to develop their own AI capabilities. So databricks will use Amazon's Trainium AI chips to help other companies customize AI models or to create their own, which could lower operational costs. So Amazon claims that its custom chips are approximately 40% cheaper to use than Nvidia's GPUs which currently dominate the AI chip market. So this partnership aligns with a broader trend where enterprise technology companies including Microsoft and Salesforce are vying for a share of corporate AI investments and or just creating their own chips. Speaking of chips. Yeah, we always talk about chips a lot on the everyday AI show. And speaking of yesterday I was crushing some some chips from my hometown, FYI. But in the other chips, the GPU chips that power generative AI, Nvidia is the leader and their stock has just reached an all time high. As major tech companies prepare to report their third quarter earnings and announce their investment in AI. What always happens on these quarterly calls? Everyone just says as many AI buzzwords as possible and hope their stock goes through the roof. Like Nvidia. So Nvidia's shares closed at $138 a share. Obviously they went through that stock split a couple of months ago, but that is a 2.4% increase and passed their previous high of $135 per share back from June. So the company's stock has skyrocketed nearly 180% this year and has increased more than 9. The start of 2023. Weird. The start of 2023 is when I told everyone that Nvidia was the most important company in the world and no one believed me. But analysts attributed Nvidia's success to its dominant position in the AI chip market where it controls approximately 95 of the market for AI training and inference. Yeah, that's wild. But major tech players are trying to keep up, like Microsoft, Meta, Google and Amazon as they are heavily investing into their own GPUs or other companies. As right now the Nvidia anticipates significant revenue from its next generation AI GPU called Blackwell, which is seeing quote unquote in insane demand and has apparently sold out for the next 12 months. All right, our last piece of AI news. Google has just announced a partnership with a nuclear energy firm to power its AI data centers. So Google has recently made headlines by signing a deal with Kairos Power to utilize a a small nuclear reactor for its AI data centers. Yeah, Microsoft just announced something similar about last month. So the first reactor is expected to be operational before 2030, marking a significant step toward more sustainable energy solutions in the AI in tech sectors. So this initiative aims to provide Google with reliable power sources while also demonstrating the company's commitment to lower carbon energy options. All right, yeah, so a lot of AI news today, but a lot of the big ones there were about AI and we're about chips and power. And why is that? Well, all of these new tools that we're talking about all the time, like Adobe Max and all of their AI tools, let's jump into it. But hey, the reality is these things need power, they need GPUs, right? So that's why a lot of what we talk about on the day to day is, is really focused on what these big companies are doing to handle all of this Generative A. All right, so thank you to our everyone live stream joining us. Yeah, I know there's been some problems on the LinkedIn. Sorry, y', all. But thanks everyone for joining us. Jackie, Brian and Michael, Melissa Sabatical. Uh, everyone, tons of people in the house today. So, uh, let's go ahead and get started and give you a quick recap of what was announced by Adobe at their Max conference. So there was a lot, but we're just going to be focusing mainly on the, I'd say the bigger picture AI features. Right. Because here's the reality and we'll give you a more in depth rundown in today's newsletter. But they just sprinkled some AI on every single product. Right. And even personally. Right. Let me tell you my personal story. I've been using Adobe Creative Suites longer than I've been using any other software. Right. I believe I've been using, you know, started using photoshop back in 20 2005, something like that. So almost 20 years. Right. So obviously Adobe is not new in this AI space. You know, they've been using different machine learning algorithms, you know, over the last few decades to improve all of their softwares. But now with generative AI, which is very different than traditional machine learning and artificial intelligence, Right. They're able to offer so much more and to make it so much easier on consumers who want to take advantage of this technology. So let's just do a quick recap and I want to highlight the big stuff. So I'd say the number one thing was the Firefly video model. All right, we're going to break that down a little bit more here in a minute. But this is a new generative AI model for video creation. And you can use or you can start with text or images. Right. So it's right now available in a limited beta. So there is a. A wait list at least as of late last night. So right now it's available in the Firefly web app and in Premiere Pro, which is Adobe's AI video editing software. All right, so you can get it in multiple places right now. And you do obviously have to have a paid Adobe subscription to take advantage of all of this. So right now there is no additional cost to use Adobe Firefly, which is great for now. But I wouldn't hold your breath. I watched an interview last night with Adobe CEO who kind of alluded to that eventually there may be an additional surcharge to take advantage of this AI video. So we're going to be doing a kind of, at least on paper, a comparison of this and Sora. But this is essentially what I think the big news here is Adobe is, I would say, bringing AI video to the world's top creatives first. Right. We heard about Sora now eight months ago, and it is still not yet publicly available. You know, I think other companies have been making great strides in this space, particularly Runway and Pika Labs. Also, Adobe is partnering with Runway, which I think is a smart move. So not necessarily trying to compete, head ahead with others in the space, but actually allowing creatives to bring, you know, as an example, their Runway projects into their Adobe suites Creative workflow, which I think is a very smart move. All right, so like I said, text to video. So I'd say that this is the headlining AI advancement is the availability of the new Firefly video mode. So to be able to generate videos from text prompts with camera controls, angle, motion, zoom, all of those things, and then image to video as well. So instead of starting with a text prompt, the ability to start with an image prompt. So, yes, if you do follow the, you know, AI creative space, this won't seem new on the surface, right? Because you're like, okay, well, we have a lot of those features in Runway. We have a lot of those features in Pico Labs. You know, cling. There's all these great AI video tools, and I think that we're going to start to see some video capabilities soon, soon here from Mid Journey, who is the leader in the kind of AI photo space. But yeah, this is all now going to the hands of the world's top creators. And I think that is a big differentiator. All right, a couple of things. Let's break this down a little bit in where we're going to be seeing these new features, and ultimately what they're going to mean. So this one, I think, is big, the integration in Premiere Pro. All right, so I'm going to show a video example of this a little bit later from Adobe. But I think this is where ultimately, y', all, we're going to start just seeing little clips and snippets of AI video without knowing. And I think it is because of this one feature. And I think this one feature is probably going to be the most consequential of anything that Adobe announced. Yeah, they're like, okay, here's all these AI features in Photoshop and all these AI features in, you know, Illustrator, right? Like I said, they're sprinkling AI everywhere. But I think it's actually the integration into Premiere Pro and bringing in the Firefly video model into Premiere Pro specifically for the Generative Extend feature. Right? I put something out on. On Twitter yesterday, you know, minutes after this was announced, and I said 99.9% of people aren't going to be using this feature, right? This Generative Extend. Because how many of you out there use Premiere Pro, right? Unless you're a video editor, you probably don't use Premiere Pro. All right, so very, very few people are actually going to be using this new Generative Extend feature that is powered by Adobe Fire. But I will say this. A hundred percent of us will be experiencing this. All right, here's. Here's the reality, right? Let's. Let's just call this spade a spade here, y'. All. Everything right now with. With Runway and Pika Labs, right? This is all very experimental, right? For this to be inside of Adobe's. Adobe's suite of tools is huge. This new Ado Firefly video, this is huge because I think this, number one, it legitimizes the AI video technology, right? And now, obviously, having this, you know, even this Runway integration built into Adobe workflows is huge. So I do think, you know, even the top creatives in the world and, you know, I'm. I'm lucky enough to be connected with a lot of people in the industry, but I think for the most part, there was almost this segmentation, right, where people were looking at, oh, AI video. This is more of an a toy. You know, we're just using this to explore. We're using it to ideate, maybe to brainstorm on the front end for storyboards, right? A lot of companies are using this just to create better storyboards, to pitch projects better, but then ultimately, they're not always using this AI technology in production. But I think this generative Extend feature is going to change that because what it does, like, and like I said, we're gonna, for our live stream audience, we're gonna show you an example of this. But you know, let's say you're editing video on a timeline if there's a big gap, or you're like, oh man, this, you know, this, this clip stopped too soon and we weren't able to show an important piece, right. Like our, our team stopped shooting too soon or now that we're editing, right. We see that there's a huge missing visual and there's a good chance that that video or footage that was shot, you can't just go out and recapture something, something. So this is this generative extend feature. Right now it only adds, I believe, up to two seconds of video, which doesn't seem like a lot, but when you're talking about high end video editing, 2 seconds is in eternity. So this feature I don't think can be overlooked. All right? And like I said, we're going to be diving into this and we're going to be talking about. Yeah, Michael's asking here where they get their training data. Yeah, don't worry, we're going to be talking about that one soon. And, and hey everyone, for our live stream audience, let me know. Do you use any of the Adobe products? You know, we don't actually cover them a whole lot because I think they are a little more niche, right, than using Microsoft Copilot or Google Gemini or Chat GPT. But I think this is going to impact us, right? So Photoshop, ton of AI updates. So there is a new generative workspace powered by fireflies image 3 model for faster image generation. So Adobe said this is four times faster. So essentially there is a new generative workspace feature that essentially just brings in this feature into Photoshop. So it's more of a, of a user interface addition there because you could always access the Firefly image model. But this is just more of a seamless way to work it into Photoshop, which again, I think is going to expose a lot more people to this technology. Right. I still use Photoshop once in a while. Not a lot. You know, if I'm being honest, I use Canva so much more. Right. I used to use Photoshop Daily 10 to 15 years ago. I don't really use it a lot. You know, I might use it a couple times a month now, but you know, it wasn't really bringing their AI image generation to the, to the front there. So now this new generative workspace essentially brings this AI image capability via Firefly 3 into Photoshop. So I do think that a lot of these features that Adobe just announced, you know, it's, it's really just making it easier for creatives to use all of this AI technology where, you know, aside from the video model, there's nothing, you know, shockingly new. But I do like some of these updates in Photoshop. So it has a new distraction removal which I think is pretty big. So, you know, the example that Adobe gave, they showed a photo of all of these wires, right? It's a building, but there's, you know, a few dozen wires. So you know, you can one click and remove wires from your photo. So it's not new technology, right? That technology has always been there. It's just been a little more difficult to use and you know, hey, at least in terms of this generative fill, right? So what that means is filling certain areas of a photo with. By using generative AI. Adobe's actually been ahead of everyone else in this space, right? All the other, you know, AI image generators, they just started getting this in the past year. Adobe's been there for a while with their generative fill features or generative extend. So a lot of those happening in this new update, which I think is actually really good. And then also the ability to remove people as well from a photo, right, we're seeing that now even on our devices, right. So we're seeing that with Google Photos Apple intelligence, when it actually, if it ever gets intelligent enough to actually come to our devices and work. Yeah, Apple's been very slow. So a lot of these features are now coming to our smartphones, right. I'd say Google was the leader in bringing that technology to our, our smartphones. And then Apple is just following suit, right? Where essentially you take a photo, I don't know if someone's photobombing you in the background or, you know, some, you know, dude is spilling ice cream in the background and it's, you know, extremely distracting. So this has always been a feature in smartphones. So Adobe just bringing this again, just updating it, making it easier one clickability, you know, remove wires, remove people, etc. So just it a little easier to use their generative fill technology. All right, but here is the big thing that I wanted to focus on for the rest of this show. There has been so much hoopla and hype on Sora. So if you don't know, OpenAI previewed Sora a few months ago Right. And essentially this is their. Are you still running in circles trying to figure out how to actually grow your business with AI? Maybe your company has been tinkering with large language models for a year or more, but can't really get traction to find ROI on Genai. Hey, this is Jordan Wilson, host of this very podcast. Companies like Adobe, Microsoft and Nvidia have partnered with us. Yes, because they trust our expertise in educating the masses around generative AI to get ahead. And some of the most innovative companies in the country hire us to help with their AI strategy and to train hundreds of their employees on how to use Gen AI. So whether you're looking for ChatGPT training for thousands or just need help building your front end AI strategy, you can partner with us too. Just like some of the biggest companies in the world do. Go to your everydayai.com partner to get in contact with our team or you can just click on the partner section of our website. We'll help you stop running in those AI circles and help get your team ahead and build a straight path to ROI on Gen AI. AI video model. Right. So they first released this, the preview, back in February. So we've kind of have quote unquote seen this now for, for eight months, but it has not been publicly released. I said this when it came out when SORA was, you know, kind of previewed in. A very few, a very limited number of creators actually have access to Sora. I'm sure it's a few dozen, but OpenAI hasn't been very transparent with that. But when this was announced in February, I said, okay, the quality here is scary, right? It is actually too good to use. And I said that at the time. I said I don't expect SORA to become publicly available until after the US Election, you know, and now we are a couple of weeks away from the U. S election. So I would assume that Sora will be become available either later this quarter or early in 2025. And you know, we shared in our newsletter a couple of weeks ago, they're already working on, you know, a big of updates for Sora, even though the general public doesn't have access to this. Whereas Adobe Firefly just beat Sora to the punch, right? It is live, it is available, it is available in beta. That, that piece is important, but it's here, right? From a quality standpoint, again, I've seen very limited, limited examples so far of Adobe's new video capabilities inside of Firefly, but Sora is more impressive, Right? But what, what does that matter? If it's not publicly available. So, but I will say this, when working with the Generative Extend feature of videos, it's extremely powerful creating videos from scratch right now in Adobe Firefly. Do they look good? Absolutely right. If you would have told me a year ago, hey, check this video. Is this impressive if. What if I told you it was created by AI, I'd be like, oh, frick, yeah, that's really, really good. But it's still not as good as what we've seen from Sora. But hey, what does it matter if that's not publicly available? But I think there was actually some big pieces here that weren't talked about. So first, let me just give you a brief update on Firefly. So it actually launched last March for image generation, but as of yesterday, now it has video. So there is both. You know, if you're hearing Firefly AI from Adobe, it is, it was a image model up until today. So it doesn't have a different name. It is just, you know, Firefly AI for video. So an important distinction. So this is the first publicly available video model for commercial use from Adobe. And also, like we talked about, you can start in a variety of ways. You can just use a text prompt, you can use a photo prompt, or inside Premiere Pro, you can just extend your current video, right? So there's two different pieces there. You can create something new, create something new with text or with a photo, or you can extend something that already exists. And if I'm being honest, I think a lot of people are talking about the first part and not the latter part, where I actually think the latter part, even though it's not incredibly sexy or, or cool or, you know, grabbing headlines. That's where I think a hundred percent of us are going to be exposed to AI AI video almost immediately with this generative extent. All right, so right now, like I said, the Generative Extend is available in Premiere Pro Beta right now, and it allows users to extend video clips by up two seconds while maintaining camera motion and subject movements. All right. Also, it needs at least three seconds of video to work with. That's important as well, right? You can't just, you know, put a one second video clip in there and it can create more versus what it doesn't have. So you need to give it enough information for it to actually extend the clip. All right, so let's go ahead and quickly look at this feature live. All right, so always love doing live demos here on the show because they always go, right, that's a joke. They generally always Go wrong. All right, so hey live stream audience, let me know if you can see the screen here and for our podcast audience. So what I'm going to be showing you here, this is from Adobe. All right, so what we have here is essentially they are showing a video here and saying, hey, meet generative. Extend more frames, less frustration. So what they're trying to portray here is there's a man in a diner, it looks like in a desert. And they're saying, hold on a moment, all right? And then they're zooming into the timeline and this is every video editor's worst nightmare. All right, Small known fact about me, I, I worked at a non profit for 10 years. We just became an activation and creative agency for Nike and Jordan Brand. But I spend the majority of my time editing videos for Nike and Jordan, right on our partnership projects. In this scene right here is every video editors, every creative's worst nightmare, where essentially you have either an audio track or you have, you know, maybe some dialogue and you have this huge gap in your visuals, right? Sometimes I would say, a lot of times for me, this is when you are interviewing someone and you have their dialogue going and you're trying to show different B rolls. So B roll is essentially something that you splice in. It's video that you splice in to make interviews more interesting, right? But this also comes up outside of just interviews, right? If you're putting together a feature film and you're like, oh man, a commercial, a 30 second marketing video for your company. There's so many use cases where you're just staring at this, you know, this gap and you're like, oh man, we didn't shoot enough or hey, the story went in a different direction versus what we thought. And now we just don't have a certain visual or a certain scene that we really need to connect the dots. So what would normally happen here is you might go and use some stock, stock footage and that stock footage might be terrible. You might just reuse a shot that you've already used and hope the audience doesn't notice. Or sometimes you're just like, all right, well we're just going to leave these dots disconnected and hopefully the audience, they're not impacted and they can't tell that we essentially really could have used a visual here as a segue between two different shots or between an establishing shot of a scene and then a close up of a person, right? You might want to have something in between, like a mid range shot. So you have this gap. So this is where this New Generative Extend feature comes in from Adobe. All right, so now essentially there is a toggle switch that you can click this new Generative Extend and it changes your cursor more or less. And then you'll see in this video here, all they do is they have this first shot where this man was kind of looking off in the distance. And there was a gap. There was about a 2 second gap. So now all they did was click on this Generative Extend. They grabbed the end of that clip and extended it until when their next clip was. So they essentially filled in a 2 second gap. All right, Then it says preparing. So at this point, most of the videos and reviews that I've seen said it may take up to two minutes early on. All right, I've seen anywhere from about 30 seconds to 2 minutes. I haven't personally had a chance to do this yet. Like I said, I'm not, you know, I'm not making videos every single day. I'll probably have my, my colleague check this out and maybe do, do a video on it, just because he's usually editing more video than I am. All right, so then once it generates, so now it's showing essentially what is here is AI generated. Right. So it essentially studies the scene, right. It, it uses advanced AI and kind of gobbles up. Here's what was happening up until this point where it cut. And then all of that is AI generated. All right, I'm gonna let this, I'm gonna keep this playing for a couple of seconds to show one more example, because that one you might not have been too impressed. Right. Essentially that first clip ended with a man looking into the distance, and that's all it really added. So you could make the argument that it didn't really create or extend anything, it just kind of have delayed it or made the duration longer. Right. Another thing video editors always do when there's a gap like that is they might just crank something up in slow motion or play something back, but in reverse, Right. There's a lot of tricks that video editors use, but here's another one, right? So this clip ends this same man who was in the desert, he's kind of stumbling around a gas station. And now it looks like the clip ended as he was walking towards a car. All right? That can be hard to show a subject in a video because I think, think if it's very cinematic, things like your depth of field might be changing, your focus is changing, the, the exposure, the composition is changing. This is a much more difficult shot, in theory, for AI to extend. All right, so similarly, the, in this example, the normal video stops there with a man approaching a car. So then using the generative extend, it keeps going point. All right, audience, let me know, does this look, does this look pretty impressive in real, this, this generation here? So right after this, the AI generated, he still is, takes another couple of steps toward the car. I get what you're saying. What's the big deal? This doesn't seem like a lot, right? This, I think, is going to bring AI video to the main stage. All right. This small little feature, this small little feature of extending videos by two seconds. Right. And, and to add frames and to continue in the action. This is actually huge. This is huge. And I think that the majority of, of TV shows, essentially any entertainment that is not live, you're going to be quote, unquote, seeing this almost immediately. This is huge for video editors who oftentimes will spend countless hours just trying to fill in those little gaps. Right. Oh, okay. Well, what shot are we going to reuse? Oh, great. Now we have to go get the crew out and reshoot something. Not anymore. Right. I could see, you know, 10, 20, 30% of certain, you know, B roll now being generated with this new feature. So this is actually pretty big. All right, let's get out of the live and let me talk about what this means. A couple of you were saying this earlier. Yeah. Josh says brings a whole new meaning to the comments. Yeah. Common phrase you hear, hey, we'll do that in post. Yeah. Now in post, they'll just create new clips of scenes. Right. So someone earlier was asking about training data. Right. This was a straight shot. I don't think a lot of people caught this shade that was thrown by Adobe. Let's talk about this. So Adobe made, made a very big deal and rightfully so, that they do not scrape the Internet. Right. They brought this up many times in their presentation yesterday at Adobe Max. And by the way, the Adobe MAX conference goes also today and tomorrow, but I think all of the headlining features they obviously announced during their keynote. So in case you're wondering, like, hey, why is Jordan talking about this one is still going on? Well, I think that's essentially the big pieces, the, the big announcements that we're going to get. But I think a lot of people skipped this. Adobe very explicitly said multiple times that we do not scrape the Internet. All right. Really a focus on safety and the legal ability to use this. So Adobe says that their, their models are trained on in house. Right. It's all of the content that they have access to, right? Not scraping the Internet. And that's huge. And I think that's one of the reasons why some of the biggest companies in the world, some of the biggest creative agencies, some of the biggest advertising agencies, have not yet rolled out generative AI video in photo to the largest clients. I think for the most part, y'. All. For everything else, for all the, you know, medium sized clients, these companies have been using AI video, AI photos very frequently. But for the biggest commercials, right, the commercials you see on the big sporting events, the big news events, whatever it is you're watching on tv. I think for the most part we haven't seen this kind of mainstream AI video, but I think now we may, because one of the biggest, you know, elephants in the room is, okay, well can we actually use this? Right. In some of the bigger companies they offer, like as an example, I think Microsoft and Google, they give you kind of some blanket protection, right? And you know, companies don't really disclose how their models are trained. So that's a huge benefit that I think Adobe has is they're saying, hey, we don't scrape from the Internet. All of the content that we use in our Firefly model is from content that we have access to. All right, now I do have to call this out because there was an instance where it looked like, okay, there was some, some Mid Journey images that made their way into Adobe's training data. So, you know, I'm not just gonna, you know, spit back to you exactly what the company says. No, there's, there's been some discrepancies that have come out. So it's like, okay, well if you're using other AI photos or videos in your training data, does, does that mean that you're not scraping the Internet? I don't know. So, yeah, previously there was a report that about, about 5% of the images used to train Adobe's Firefly AI tool were generated by other AI platforms, including Mid Journey. So I think that piece is important to call out. So aside from that though, there hasn't been any other report or any other news or information that goes to contradict this statement from Adobe. And I think this is huge because I think you do have to be take this, the training and the data privacy part, that's huge, right? Because you don't know in the end, right? You don't know in the end if you're using Mid Journey, if you're using stable diffusion, right? So many of these models, these AI image generating models, you don't know a lot about their training data. But for the most part it's just kind of assumed that they're trained on the open Internet, that, that if something is available out there to humans, that these other companies are essentially scraping everything in, training their models off what's already out there and not really paying much attention to copyright. Right. Because essentially the argument that these other companies are making, well, hey, if we just scrape every single visual or every single video that exists, hey, when we're using this kind of diffusion technology, right, we're not actually recreating anything that's copyrighted. We're just, you know, pulling bits and pieces from millions of different pieces of copyrighted work. Right? So Adobe's a little different here, very explicitly saying we do not scrape the Internet and responsible AI training. And this is, I think, a huge direct shot at OpenAI and Sora, even though Adobe didn't straight say this by name and you know, call Sora out. I mean that's what was happening here. So there was the, the infamous interview with the former chief technology officer of OpenAI Muratai, who in a sit down interview with the Wall Street Journal and I think this was one of the things that kind of exploded Sora onto the scene for good and bad reasons, right? I think this, this interview, this sit down interview with the Wall Street Journal really brought Sora to the non AI enthusiasts. Right? But there is a big flub here in the interview when Mira was asked a fairly straightforward question about the training data and she didn't have a good response, she more or less just said, I'm just not going to go into the details of the data. Right. Softball question, right? It wasn't a hard hitting like, hey, FYI, you know, here's a gotcha question. We sat down and analyzed, you know, hours of Sora video and found X percent was, you know, it wasn't a curveball, it was a very softball question about, hey, tell us about the training data. And OpenAI didn't really have a good response. Almost like she was caught off guard for the most basic question that you could be asked in that situation. Right? You're showcasing the power of Sora video for the Wall Street Journal. You gotta be able to, you know, answer some very basic questions about the training data. So pretty interesting shots fired there from Adobe and essentially saying, hey, we, not only is our Firefly AI video model now available unlike OpenAI's Sora, but we can answer questions about the training data because they say it is all based off of data that they have access to. On their platforms and not scraped from the Internet. All right, y', all, so let's. Let's wrap this thing up. So what does this all mean? What does this all mean? Well, a couple of things. Number one, I think there was this initial wave of creatives, right, probably two or three years ago when this generative, you know, the Chat GPT boom. And you know, actually Dolly, the early versions of Dolly, you know, they weren't any good, but that actually preceded Chat GPT. So, you know, AI image generation is not new. It's been, you know, pretty popularized and mainstream now for three years. It's obviously gotten much, much better over the last couple of months. But I still think there's been this, this facet, this group of creatives that have said, no, we're not going to use AI, because I think originally they thought of it as a threat, right? They could see these videos that AI could produce, right? These Sora clips that were, you know, 15 seconds from a text prompt, these great AI images that you can start with in Mid Journey and then take that into, you know, programs like Runway. I mean, you saw literally short little films being entirely created with AI tools like Mid Journey Runway, Pika Lab, Stable Diffusion, etc, and I think you saw Creatives, right? And there are so many other applications I'm not even talking about here that are now possible inside of the Adobe Creative Suites Prod products, right? So, so things like, like logo, like logo design, like editing photos, right? Now you can use generative AI in every step of the process. So I think originally there's this group of creatives that said, nope, never, you know, AI is never going to be able to do what I can do, you know. You know, I'm never going to use AI, right? Human creativity cannot be. Cannot be matched. Well, yeah, it can. I've been saying this since day one, y'. All. I go, I. I have the receipts, 400, almost 400 episodes on your everyday AI dot com. I've never veered away from this, that AI is more creative than the most creative human because it is trained on the exist, the entire existence of human creativity. So I think early on, it's just people that don't understand AI and, you know, they take one screenshot and they say, oh, look how bad this AI photo is, or look how terrible this AI video is. Well, a lot of times you don't know what you're doing, doing, right? And a lot of times people are manipulating and sharing some of the worst examples just to make themselves in their careers feel more secure. Right. Like, oh, look at this terrible. AI companies can't be using this. Yeah, they can. So if you are a creative and if you're in marketing, if you're in advertising and you've still been on this anti AI bend, you can't anymore. You can't anymore. Good luck all you anti AI creatives. That said, I'm never going to use this because guess what, what are you using? Are you using canva driven by AI, Right? Are you using Adobe now? AI is in every crack and crevice of Adobe. So if, if you are a creative that still thinks, oh, I'm not going to use AI, AI is not as creative as humans. Well, good luck, good luck using all of those day to day creative tools that you rely on that are now just powered by AI on the front end, the back end and everywhere in between. You don't have a choice anymore. You don't have a choice. So good luck jokes on you, all you people. That said AI is just a joke, it's not actually real. Well, okay, most, most feature films and right, like many of them start somewhere in an Adobe product. So you're, you're using AI whether you want to or not. And then I think last but not least, this is a huge step between blurring the lines between AI in the real world and bringing AI video mainstream. And I think, like I said, even though it is very small, that generative extend is going to be widely used and unbeknownst to the majority of humans out there, so many of these short little scenes, short little clips in our favorite TV shows, movies, etc, they're going to be fake and you're not going to know. And I think for the most part that's okay. Right? I think at least with what we saw from Adobe, this isn't changing the narrative, this is just making the narrative a little better with generative AI. All right, I know that was a long one, y'. All, I hope it was helpful. So Adobe Max AI announcements, a lot going on. We gave you a, a quick run through of some of the more, I think some of the more highlight worthy features in Photoshop, the ability to quickly and a little bit more intuitively clean up your photos and all of that. Yes, we have improvements to the AI image, you know, Firefly model, but I think the big one here is the video model. And although yes, it is now available to, you know, create short video clips with text or with photos. I think the big one here, yes it is number one, a shot at Sora, but number two, this is making AI integration so seamless that we are going to be probably, I think, within a year or two, everything we watch will have a large percentage of AI video that actually never happened. All right, thank you for tuning in, y'. All. If this was helpful, please share it with someone. Please. You know, if you're on LinkedIn, please tag someone. If you're listening on the podcast, please subscribe on Apple, Spotify, wherever you get your podcasts, follow and leave us a rating. And when you're done with that, if you haven't already, go to your everydayai.com we always leave the link in the show notes where we break down today's conversation. I hope this is helpful. Hope to see you back tomorrow and every day for more Everyday AI. Thanks, y'. All.
And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going for a little more AI magic. Visit 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.
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