Everyday AI Podcast – An AI and ChatGPT Podcast - EP 26: The Impact of AI on Society: Making Us Smart or Dumb?

Episode Date: May 30, 2023

On this episode of Everyday AI, Jordan is joined by Piotr, a computer science master with a concentration in AI, to discuss the impact of AI on the world. They explore various topics, including the use of language models like ChatGPT to assist in coding, the role of hard rules in avoiding biases in AI, and the future of AI integration into various operating systems. Time Stamps:[00:00:50] AI Leaders Warn of Extinction Risk[00:04:03] Deepfakes at an All-Time High[00:05:47] Amex Turns to AI for Customer Service[00:06:45] Chatbots in Customer Service: Finding Limits[00:07:51] Piotr's Role as a Programmer Analyst[00:10:03] Large Language Models Revolutionizing Code Efficiency[00:15:20] The Fascinating Growth of Large Language Models[00:17:14] ChatGPT Speeds Up Coding Troubleshooting Process[00:21:22] Managing AI Bias: Tackling the Black Box[00:24:27] Is AI Making Us Smarter or Dumber?Topics Covered in This Episode:The efficiency of using language models like ChatGPT in coding:- ChatGPT's ability to help with solving problems in different ways- The potential for technology like ChatGPT to save hours of struggling through logic- The desire to use proprietary code safely while taking advantage of new technologies- ChatGPT's effectiveness in writing essays on any topic in secondsNeural networks, biases, and AI:- Explanation of neural networks and coding AI- Construction of set hard rules and questions to avoid biases in AI- The impact of data feeding on the AI- The view that robots taking over is not possible unless allowedPiotr's experience with natural language processing and chatbots for troubleshooting:- Piotr's experience with a natural language processing course- The creation of ChatGPT and its usefulness in coding- The effectiveness of AI bots as customer support for general issues like credit card problems- The need for human support in technical issues like codingThe impact of AI on intelligence:- The comparison of the impact of AI on intelligence to that of the internet- The concern that people may rely on AI to obtain answers, rather than learning and understanding information- The agreement that learning and understanding the information is necessary before relying on technology to solve problems Concern on the inclusivity and bias in AI systems:- The concern on ensuring AI systems remain unbiased and inclusive- The difficulty in ensuring AI systems do not reflect human biasesIntegration of AI into operating systems:- The potential for AI integration into operating systems beyond individual applications- Microsoft's unveiling of Copilot systemUse of proprietary code in financial institutions and the impact of deep fakes:- The use of proprietary code in financial institutions- The potential impact of deep fakes, even poorly made onesAmerican Express using generative AI in customer service:- The unusual decision of Amex to use generative AI in customer service- The discussion of Piotr's background in fintech and his thoughts on Amex's decisionKeywords:Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

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. Will AI ever make its way into financial tech?

And if so, what does that mean for the rest of us? That's one of the things that we're going to be talking about today on everyday I. This is a daily live stream podcast and newsletter for you and everyday people trying to figure out what the heck is going on in the world of AI. Maybe we're going to get some answers because today I have a guest. And he's a special guest and I'll tell you why. but Peter Warcall is joining us. Peter is a programmer analyst at FIS. Peter, what's up?

Good morning. Thanks for joining us. Good morning, Jordan. How are you? Doing great. The reason why Peter's a special guest, I'm very open and honest on the show. Peter is married my cousin,

but that's not the reason he's on the show. The reason he's on the show is he has a master's in computer science with a concentration in artificial intelligence. So I'm like, Peter, you have to come on the show because this is kind of what. you do and what you know. So just FYI, that's why Peter's on the show. And it's gonna be great because I know he has some insights.

As a reminder, this is a live show. If you have a question from here, Peter, please drop a comment and we'll do our best to tackle it. So before we get into all that, let's talk about what's actually happening in the world of AI. So this is fascinating. A 22-word statement, warning against the risk of extinction.

All right, so let's talk about this news piece. So this is some of the top AI researchers and CEOs warning about a risk of extinction. So not just like some random guys. We're talking about the Google DeepMind CEO, the Open AI CEO, Sam Altman. So these are the people that are probably most responsible for driving the tech forward. And let me read this 22-word statement. And then I'm going to get Peter's take on it. So the statement reads as follows, mitigating the risk of extinction from AI should be a global priority.

alongside other societal scale risks such as pandemics and nuclear war. Peter, seeing that statement, what's your thoughts? Are we worried about a risk of extinction yet? I don't think a mass level extinction yet is imminent or something we should be scared of, but if we don't do anything about it, definitely there is something to say about how effective it is at doing everyday tasks already. And we're not even allowing it to like, I mean, we're obviously allowing it to learn from trillions of data points, but allowing it to move any further without being unchecked can be very, very dangerous. I agree with that statement. Yeah, it's, yeah, it's going to be, it's going to be very interesting to see how that pans out. Chris, for a drop to comment. Good morning. Chris, thanks for being here. I hope I hope you enjoyed today's conversation.

The second news piece, which comes as no surprise to me, but it still weren't highlighting. So a recent survey says students are just ditching their tutors at an all-time high and just going with chat GPT. So this study came from intelligence.com. And it said about 40% of students have already replaced human tutoring with chat GPT. Peter, what's your take on that? Coming from someone who did their master's online completely, and I never even went into a single class. for my masters. I can see the benefits of this immensely as a large language model.

They were able to give you anything that you want at a fingertips notice within moments. You don't have to text someone and hope they're awake or hope that they're available to talk to you for half hour, 30 minutes. You can just type it into a little chat thing and just say, hey, I want to know about this topic. This is what I think I know is what's wrong, what's right, and it can give you that information quickly, accurately, and it's just amazing. Yeah, it is amazing. Sayetta, we're going to get to that question.

That's a great question, asking if there's potential risks or downsides. We're going to get to that. Don't worry. Our next piece of news, so a recent Reuters report, Reuters, looked at deepfakes and politics. If you think it's bad now, just wait until kind of the U.S. primary election cycle heats up here in a couple of months. So anyways, this Reuters reports looked at deep fakes being at an all-time high, you know, being used for, you know, as an example, a Democrat, you know, saying great things about a Republican or a Republican saying great things about a Democrat that obviously don't exist. Peter, this technology, this deep fake technology where it looks like, you know, you know, someone's actually saying something, they're not, cloning voices, all this. I mean, with your background, do you see this as just getting like a bigger, bigger problem as time goes on?

No doubt in my mind that this is going to be a major issue. And really what we're going to have to do is lean on news outlets to be very, very thorough with what they allow to be published and what they don't allow to be published. Platforms like Twitter and Facebook and things like that are going to have to become, it's hard to say. but, I mean, censoring is a very dangerous topic to broach, but you have to think about the implications of what some of these deepfakes could do. And, I mean, you could swing markets by points. And it's, yeah, just the implications of how these deepfakes can be just really terrifying. It should really be taken seriously by the Senate, by the government,

and how we approach these kind of problems. Yeah. And Peter's not exaggerating where he's saying, this can cause a swing in the market. We actually saw, and we shared about that in the newsletter last week, you know, someone made a deep fake, which wasn't even a great deep fake of the Pentagon being attacked. And the market started to tank, you know, even though it was momentarily, it happened. So that's that is a real concern.

And that's a great point that Peter brings up. Kind of our last news piece for the day. And I'm sure people will love this because there's nothing more in customer service than we love than talking to chat bots. But AMX, so American Express just did say today that they're going to start using generative AI and customer service. A lot of fintech companies, which is, you know, kind of a little bit Peter's recent background, they've been very cautious, you know, using generative AI and it makes sense. But Peter, what's your thought on, you know, AmX, one of the biggest companies in fintech, you know, saying like, hey, we're going to start using generative AI now? Sure. I guess it really depends on their customer and how inward facing the product is that they're going to be allowing a chat bot to take over troubleshooting.

So let's say it's a very general thing that they're doing like a customer that's calling in about their credit card being unable to be used. That I think could be very easily taken over by an AI bot, but someone who, is working with their technology internally that is someone like me who's writing code and stuff like that where it's like we run into an issue it's like i can't talk to an i because you guys don't share the information with that AI about your proprietary software so that that AI is going to be useless to me i need a human being on the other end that knows their system and knows how to work with it and so i guess there has to be a line drawn about which customer facing um people are allowed to use an AI and which ones should have a dedicated person's trained and able to answer questions thoroughly and quickly and effectively without me sitting on a phone line for hours on end. Yeah, that's a good point. So actually, you know, you kind of talked about, you know, kind of open access, close access. So, you know, talk, talk a little bit about, you know, what your role is as a programmer analyst at FIS, you know, just just for the everyday person, we hear those

buzzwords, you know, what is it that you're actually doing on a day-to-day basis as a programmer analyst. Sure. I'm still kind of going through and learning, but at FIS, what I do is we write a language called COBOL primarily, and what we're doing is we're taking tasks or projects from the bank. The bank I work with is TD Bank, and they have issues with certain applications or programs, and we go through, and I have a project manager, and we talk back and forth, And we figure out the issue, we write that code, we do test artifacts on all the test cases that we need to, and then we implement that code. And that just kind of goes through the, like a pretty standard lifecycle of code. Yeah.

And, you know, kind of explain to people, you know, not getting into the specifics of cobalts, but even just how this technology works. Because, you know, the way that, and I might get this wrong, Peter, this is why I'm holding you to. back check me here but you know the entire internet runs on different code right so if you're watching this on social media you know there's obviously you know hundreds of lines and of code in the background but with financial institutions a lot of time they're not using the same type of code or the same language that runs the rest of the internet a lot of times that that code is maybe proprietary you know something that you know whether it's a financial institution you know created so different banks can talk to each other or sometimes it's a language that a company itself

maybe helped create just for specific use cases for its clients. So is this kind of, you know, at least in the kind of FinTech, the financial tech space, is it pretty common to have code, you know, that is exclusive to banks and to just, you know, companies that only use that specific code? I would say. Yeah, no, absolutely. And it's, it can be very frustrating. where you get technologies that come out that, I mean, there's been such a boom in large language models like bar, chat GPT and stuff like that, where I would love to feed in my code and make my daily tasks significantly more efficient and able to be able to do things and play around with, because the beauty of code is that you're able to solve a problem many different ways, right?

and I would love for like a different perspective on how to write code and chat GPT could do that in seconds where I'll say like this is how I wrote my code is there another way to do it and then it can give me some different way to attack a problem I'll say I don't like that can you change that can change that and that can be done in seconds versus where me I'll be struggling through the logic for like hours minutes I mean it's just the efficiency of being able to do a job like mine would be amazing if I was able to feed in like proprietary code and safely, obviously, where the rest of the world can't access that code, but I'd still be able to use the technologies that are becoming available and where I could become much more efficient at my job. They'll be very, very exciting, cool. You know, Peter, you bring up a great point there because I think there might be this digital divide that's being created, you know. And again, you know, companies like yours at FIS, there's a reason that they don't want their code, you know. I agree. Even being used to train a model, right? Like there's a certain code that just needs to stay in house.

But do you see a great divide happening? And I'm not just saying like with programmers, but in general, you know, because a lot of big companies, you know, I think stories that came out. I think, you know, Chase kind of, you know, banned, you know, chat GPT and other large language models. And a lot of big companies are banning the use, which part of it makes sense, right? But do you think that there's going to be a divide of, you know, just access to information, growth, all of these different things amongst companies or sectors that allow this technology and those that don't? Sure.

And I think we can feed back into the apocalypse that AI could be causing. I could really see the senator like a bigger body just swinging very, very hard the other way and saying, we don't know how this. is going to affect companies and if a lot of companies right now build up their their necessity on AI and then the Senate says like we can't use AI and companies we want to take a stop and see see what's going to happen that could swing very hard the other way and like companies could apocalypticly fall because of their their need for AI that's a very real possibility too because you know you see now at these

especially these bigger companies like in video right um Microsoft these companies these companies some of them have nearly doubled in the past, you know, six to nine months. I'll have to look it up, but I think in Vida, you know, now that is almost worth a trillion dollars. Yeah, has almost doubled in nine months. So, you know, I think a large part of this growth is the companies that are very open with not just using the technology, but developing it. Yes. But yeah, then what happens if there is regulation that just shuts it down, right? Like, what do you think?

Again, it's hard to play that scenario out in your mind. But what would happen if there was a huge ban tomorrow and all these companies that are creating hundreds of billions of dollars of new business, all of a sudden, oh, this technology's banned. Yeah. Right? Like, I don't know. Would it be an apocalypse? Maybe not. But that would be economic collapse.

Potentially. I mean, it depends on which sectors it happens and what kind of a great. grand scale it is, but I mean, something has to be done and it'll be interesting to see how companies pivot and what they allow the technology to use and what they don't allow it to use. And I can see if certain big companies that we're calling them corporations that are being hesitant can kind of fall behind if they don't catch up quickly enough and don't allow for integration in certain components of the business that would allow them to get certain jobs done much more quickly and effectively.

Adobe just introduced an entirely new way to create, bringing the power and precision of its creative suite into one conversational experience. Meet Firefly AI Assistant, now live in the Adobe Firefly app, the All In One Creative AI Studio. Powered by Adobe's creative agent, Firefly AI Assistant lets you start with your vision, just describe what you want, and shape the outcome as it takes form with the Assistant. The Assistant orchestrates multi-step workflows, drawing on 60-plus pro-grade tools across Adobe Creative Cloud apps, including Photoshop, Illustrator, Premiere,

Lightroom Express, and more to help bring your ideas to life. You can also get started with creative skills, a growing library of pre-built workflows for common creative tasks like batch editing photos, creating mood boards, portrait retouching, and creating social variations. Every step the assistant takes is visible, so you can refine, redirect, or take over at any time. You stay in the driver's seat as the creative director. Adobe Firefly AI assistant now in public beta. See it today at firefly.adobie.com. Peter, I think that you're in a very unique position because you graduated with your master's in 2022, correct? Correct. Correct. Right. Okay. So

coming out as a master's graduate in 2022 with a concentration in artificial intelligence, right? And then a matter of months later, there's this huge boom in AI, right? Did you find, like, people looking at you for answers or, you know, looking at you, whether it's, you know, at your company or, you know, friends, family, all that kind of stuff?

Like, was there a certain, not pressure, but a weight that came with it where all of a sudden artificial intelligence is booming? And here you are a recent graduate with a master's, with a master's, with a focus in AI. What does that like, or what has that been like for you so far? I mean, it's really been fascinating.

Just when I was graduating, I took my natural language processing course, which deals with large language models and stuff like that. And the way I was explained to it by my professor, obviously the technologies existed, but they weren't nearly effective enough to replace jobs yet, like they were struggling with certain things, yada, yada, yada, and then give it a couple months, and all of a sudden you have chat GPT that can write an essay on any topic in the world in seconds.

The growth of the large-onkits model has been truly amazing. And hearing the people around me talk about it, it's, I mean, they bring up Terminator a lot. Salvation is coming. The world is ending. And like the robots are going to take over. And I don't think the robots are going to take over unless we allow them to take. takeover. But I mean, it's been fascinating to just see what I've learned about just become so commonplace. Like the word AI to be used as such a buzzword now. It's just been, I mean, it's been

cool. Yeah. Yeah. If any company wants to see their stock go up, you just mentioned AI in your earnings calls as much as possible. And it works. There's studies on it, right? So another question, Peter, like as someone that I'm sure, you know, throughout, you know, your, your education, you had to do a lot of coding. You had to do a lot of, you know, problem solving and building applications. What was your first reaction when you saw chat GPT being able to do these things in a matter of, you know, seconds or minutes? That would take even a very skilled developer, you know, maybe hours. What was your first reaction when you saw kind of what this, GPT technology was capable of it.

It was fascinating. A lot of what I kind of relate my learning of code was is you basically Google a lot. Like you'll write your code and then you become very good at troubleshooting your code. You can either interactively debug it or you can take the error code and throw it into Google and then figure out what causes that error code. And basically what JetGPT is doing is it's eliminating my need to copy that error, throw it into Google and go back and forth with that process, which could take very, very long. I could just throw in my problem into chat GPT, and it won't write the code perfectly for me

by any means, but it gives me such a good baseline of where I need to start, where it takes away so much of that, like, do I use this kind of code? Do I use this kind of if-l statement? Do I use my if-l statement here or here? It just takes away so much of the guesswork of, like, how to attack a process. problem where it just makes you so much more efficient about attacking that. And I mean, to answer your question, my homework would have been done so much faster. Yeah, I go back.

So, you know, even when I was personally just starting to use chat GPT a couple months ago, I'm not a programmer. I'm not a developer. But I knew it could work for that. And, you know, I was just trying to, you know, build little, you know, games or applications. Yeah. I did something in three minutes. And I sent it to Peter.

I don't know if you remember this, Peter. I do. I think it was a Pong clone or it was some 80s arcade game. And I sent it to Peter and I said, hey, this took me three minutes. And do you remember what your reaction was to that? That would have taken me weeks to code. Yeah, which is wild, right? Yes, yeah.

Someone like me with very little technical knowledge can go in and create something working. So we'll have more about that in the newsletter. But I did want to get to Sayetta. You had two questions, actually. Let's tackle these one by one. Peter, I'll throw this to you. So Sayetta asks, what emerging AI technologies do you think have the potential to revolutionize everyday life in the near future?

Great question. It's a fantastic question. What I was really, really interested in, and I really haven't delved too deep into the topic, but allowing plugins to work on your browser, I think would be fascinating, where it could, I mean, the possibilities are endless. It basically becomes an app store of who could become more creative with how to use AI in an everyday sense that when we Google things and when we go through our day-to-day lives and what do we want to allow AI to kind of implement? And I mean, the plugins are already so fantastic without AI. They've made my life so much better and kind of how you can implement the plugins and the AI into your day-to-day life of, you could have it just.

just write your emails for you automatically on a whim. And I mean, it's definitely. Yeah. And I think that's what's coming. So, Sayetta, even my take on that, you saw, you know, Microsoft last week unveiled their, I think it was called co-pilot, which essentially works AI into the operating system itself. And not just, you know, like a browser or not just like, oh, if I'm going to, you know, chat GPT. But, you know, kind of what Peter referenced there, that's where I think it's going.

It's where it's baked into your operating system. And at any point, no matter what application you're in, you're always going to have an AI assistant there, which I think is going to really change the game. Christopher, another great question. How can we ensure that the development and use of AI systems are inclusive and unbiased, given that AI algorithms are trained on datasets that could potentially reflect and perpetuate existing human biases? Chris, that's a fantastic question. That's so hard hitting at that 750 a.m. in the morning. But let's try to tackle that, Peter. How can we ensure that AI systems aren't just going to reflect human biases?

Or is there no way to think? I tackled a very similar issue in my studies. And a lot of what we were doing was with neural networks, which essentially there's multiple ways you can code AI, but you can code it where it's very easy to tell someone who is non-technical. This is exactly why the machine is telling me that this point is working this way, where a lot of what is being coded now is, I mean, neural networks have had such a boom where it literally is a black box.

Like you give it data and it's going to spit out data. We don't exactly know why it's giving us this data, but it's very, very good at giving us this data. And I think a fantastic way of attacking these kind of problems is we create, a hard set of rules or questions, right, where we ask the, after we iterate on the AI, we ask the AI the exact same questions, and if it deviates too hard one way or the other, if it doesn't, is it able to answer that question repeatedly in the exact same way that we're, or it's a bias. Again, it's so difficult to tackle, but we want the, we want the AI to answer questions

in ways that we feel comfortable releasing to the general public, without biases or things like that perpetuating. Because really the most important people that are going to be in the new world with AI is who is feeding the data and why are they giving them that data? Because you can take away certain data and completely change how the world thinks, literally, because they're going to be so heavily reliant on AI. Yeah. And I will, you know, Chris, even to follow, I'll make sure to go to the thread in LinkedIn

and leave a comment. There was a great. And I've referenced this on the show a couple of times. So the OpenAI CEO, Sam Altman, did like a two and a half hour podcast with Lex Friedman, specifically, and he probably spent a half an hour talking about these biases and, you know, human feedback and all that. So fascinating follow up to the answer that Peter gave as well. Another question, Sayeda, Saita always comes with great questions. So thank you for always tuning in. So she says, are there any potential risks or downsides to rely?

lying too heavily on AI for decision making in our own personal lives. Oh, I have a great take on that. But Peter, what's your take? Is there downsides to us using AI too much, like, even personally? I mean, I think a great way to approach that is, like, people should be taught how to do things without AI, the same way we were taught how to use math without a calculator. Yeah. And then you allow AI to help you in your day-to-day lives.

you should still understand the core of what you're doing and, like, how it works before just slowly tuning into AI, because then you're literally a slave to the system. You don't really know why it's giving you these answers. You're not able to interpret these answers for you. And you should definitely be able to do research on a subject, any topic, and be able to have a general baseline understanding of it before you just allow some random search to give you whatever you want without doing your due diligence. Yeah. I think that's a good point. Now, I've talked about this before, but, you know, Sayyatta, to even get back to that question, I think AI, it's kind of like, you know, the internet, right?

And I always think, oh, did the internet make us smart or dumb? And I kind of think the same thing with AI. It's like, is AI making us smart or dumb? And I think it depends on what you're doing outside of your usage of AI. I think that if you're still seeking to understand, the knowledge. So even if we go back to this, you know, the new story about, you know, people ditching their tutors and just using chat GPT. So like my thing is, okay, are you actually learning whatever your chat GPT tutor tells you? Or are you just using it to, okay, there's my answer

for this paper, there's my answer for this test? Or are you actually ingesting the information and understanding it and kind of like what Peter said, you know, the math without a calculator? So I think it all just depends on if you're actually, you know, using that information. So we, I know we went a little long, Peter, but I think we made it through all the questions, but I want to get one more question for you before we end this episode. As someone that's in the field, you understand, you know, AI probably better than almost anyone listening to this show, just because this is where your education is. This is what you're doing on a day-to-day basis, you know, as a developer.

or as a programmer. But where do you see this technology going, you know, in the next couple of years? Will it get to the point where, you know, many jobs in theory could be automated? You know, do you think that, you know, are we at kind of the height of the climb of AI? I mean, what's your take on where this technology is heading in the near future? I mean, the growth is truly exponential. I mean, there's a ton of brilliant people that are going to be able to come up with so many fascinating ways to use these large language models to help general people in so many different

ways. The real, real question is, I mean, there's so many memes about how the Senate handled, like the Snapchat debate and all that, but we really need a governing body to come in and responsibly and with knowledge base, be able to kind of help guide. where this technology goes. Because if it goes unfettered, I mean, apocalyptic destruction of jobs is definitely not off the table, I don't think. So, I mean, it's going to be very fascinating to see how the problem is tackled. And I'm very excited to see where it goes.

Yeah. You bring up a great point, which should be a whole other conversation. But just in general, you know, you have these big CEOs of, you know, the Microsofts, the Open AI, everyone. And they're openly saying, yes, regulate this. industry you know but on the flip side like what you said Peter like I'm I'm never shy about this I don't think our current government in the US is set up to not just regulate but even understand AI if you've ever tuned into any line of questioning from you know anything to us Congress yeah like like the Google

the Snapchat there was a couple instances yeah right like like there's a couple people who understand, but the overwhelming majority, actual U.S. senators asking questions of these CEOs where it's face palm moments where it's like, oh, a lot of the people running our country don't even understand how the internet works. Most of them need their kids to like to get into like the internet and stuff. Yeah. Oh, it's it's crazy. All right. Well, we made it. We made it to the end of the show. Peter, thank you so much for for jumping on the show. Really appreciate having you on. No, it's been great. Thank you so much. Yeah. All right. So as a reminder, if you are still watching, listening, please go to Your EverydayAI.com.

We have a daily newsletter, and we're giving away two year-long subscriptions to ChatGPT Plus. So the premium version of ChatGPT, it's a little expensive, but we're going to pay for it for you. So go to Your EverydayAI.com. Sign up for the newsletter. We have that information in there. So thank you so much for tuning in today, and we hope to see you tomorrow and every day at your everything AI. Thank you. Meet Firefly AI Assistant. Now live in Adobe Firefly, the Allman One Creative AI Studio.

Just describe what you want to create in your own words and the assistant handles the rest, orchestrating multi-step workflows across Adobe Creative Cloud apps, including Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome while the assistant accelerates execution.

Stand control with the ability to step in and refine at any time. See it today at firefly.adobie.com. And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going.

For a little more AI magic, visit Your EverydayAI.com 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.