Everyday AI Podcast – An AI and ChatGPT Podcast - EP 125: FutureCrafting - The AI Creative Revolution

Episode Date: October 18, 2023

AI is an amazing tool for better and more effective content creation. So how can creatives infuse AI into their workflow? Brian Sykes, A.I. Whisperer of A.I. Explore, joins us to talk about all things creativity and AI, putting it to work for you, and the future of creativity.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Brian and Jordan questions about creativity and AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTimestamps:[00:01:40] Daily AI news[00:04:10] About Brian and his background[00:06:10] Generative AI amplifies creativity[00:10:40] Does AI replace creatives?[00:16:30] Prompting AI as a creative[00:21:40] How creatives can put Gen AI to work[00:25:15] Avoiding AI bias in content creation[00:26:40] Getting good AI outputs for content creation[00:30:00] Does AI level the creative playing field?[00:31:50] Brian's final adviceTopics Covered in This Episode:1. Visualization and Creative Possibilities with AI2. AI's Impact on Creativity3. Prompting and Engaging Gen AI for content creation4. Future Crafting and Changes in the Creative Industry5. Integrating AI into the Creative WorkflowKeywords:US, China, EU, AI regulation, collaboration, threats, Wendy's, Sweetgreen, Chipotle, IHOP, drive-throughs, visualization, YouTube video, book review, generative AI, creative possibilities, designers, creative professionals, messaging, human element, reverse engineering, back-and-forth conversation, DALL E 3, Canva, technology, leveled the playing field, Adobe, desktop publishing, fear, skills, Photoshop, skill saw, table saw, terminology, storytelling, outcomes, ChatGPT, exercises, learning approach, creative space, future crafting, changes in the creative industry, pace of change, level playing field, personal and professional journey, accessibility, creative workflow, solving creative problems, podcast, newsletter, improvements, copywriting, images, videos, chat GBT, MidJourney platforms, purpose, engaging, Simon Sinek, Adobe certified instructor, Greenweaver, HTML, technology advancements, output quality, decrease in importance of prompting.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 and 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. How can creatives actually get AI into their workflow?

Right? Like we talk about it all the time. This tool, this technique, this problem solved with gen AI, generative AI can do all these creative things. But how do we start? And then where do we take it from there? That's what we're going to be talking about today on everyday AI. Welcome.

This is your daily live stream podcast. and free daily newsletter, helping everyday people like me and you make sense of AI. My name's Jordan Wilson, and I'm super excited to be talking about future crafting and what AI means and kind of this AI creative revolution that we have going on, everything from, you know, better, faster copy to images, to video, to just even, you know, what it means to be creative in this new day of AI. So before we get to that, we're going to start as we always do and go over the daily AI news. And as a reminder, if you're joining us live, thank you so much.

Please get your comments and have a great guest lined up for today. But what do you want to know? What do you want to know about creativity and AI in putting it to work for you? Please leave us a comment. And if you are listening on the podcast, thank you as well. Check your show notes as we do every single day, not just to subscribe to that free daily newsletter, but to also we always leave other important information, relevant, related stories in these show notes.

So check that out as well. All right, let's start out with the AI news. Well, pretty big news because we have two big names in tech teaming up. So we have Nvidia. Yeah, you know Nvidia and Foxcon. So they've announced a partnership to build what they're calling AI factories using Nvidia chips and software for various applications, including self-driving cars. So this is Nvidia teaming up with Taiwan's Foxconn, which is the world's largest contract

electronic makers, also maker of the iPhone. Then obviously, Nvidia is the leader in the GPU chip race. I don't even know if it's much of a race because no one's really keeping up. But, you know, Nvidia is driving everything on the Gen AI side specifically with the GPU chips. And Foxconn is one of the biggest names in consumer electronics. So it's going to be super interesting to see what they announced and what comes out of that partnership. All right. Next piece of news. Britain is aiming to be a leader in AI safety. So Britain is set to host the first global AI summit with the aim of positioning itself as a leading player in the tech sector after Brexit. So the summit will bring together key figures

from all over the world, including some interesting sides coming together here, the US, China, and the EU to discuss existential threats posed by AI and international collaboration on regulation. I'm personally excited to see what's going to come out of this, if anything, because You know, we have U.S. and China don't always come together on these global matters. So this is going to be interesting to see what transpires there. But also, you know, the EU is really leading in AI regulation. Whereas here in the U.S., we haven't really touched it. So it's going to be interesting to see what comes out of that, if anything.

Last piece of news, more AI is coming to you, but through the drive-through. All right. So a new Axios report shows that places like Sweet Green, Wendy's, Chipotle, A A.HOP and others are looking into a new type of workforce, and that is AI robots in the drive-through. So quick-serve restaurants are and chains are increasingly implementing AI technology in their operations with robot servers, bartenders, kitchen robots, and more being used to enhance efficiency and reduce labor costs. You know, the whole AI in the drive-through thing is not necessarily new, but with generative AI, now it can actually sound like a human and

kind of be useful. So let me know what you think. But that's not what we're here to talk about robots and drive-thrus, but maybe we will. I don't know. We're actually here to talk future crafting and talk a little bit about the AI revolution. And I'm extremely excited for our guests. So please, if you may, help me welcome to the show. There we go. We have Brian, Brian Sykes, AI Whisperer at AI Explorer. Brian, thank you so much for joining the show. Oh, thank you so much. I'm honored. All right. Well, hey, just quickly tell everyone a little bit about who you are and what you do.

Brian Sykes, I'm known as the AI Whisperer for AI Explore. I started in September of last year doing a daily post on LinkedIn and grew a following kind of rapidly, approaching 13,000 followers there. And it's basically I'm trying to daily teach generative AI to the creative professional and had a lot of fun in the experience. Yeah, it's, I agree. Like, I think LinkedIn, you know, and we're streaming live to LinkedIn. right now. I think it's a great place to learn generative AI. And I've seen anyways,

right? Similarly, by putting out a live stream on generative AI every single day. The AI community in general, Brian, and I'd like your thoughts on this, it seems like a much more welcoming and collaborative space, I think, than other industries, you know, marketing or advertising or even creative. I mean, have you noticed the same? I've noticed the same. And it's really interesting because most of the early adopters, especially in the generative AI, text to image space, have been creative professionals who are kind of dabbling to figure out what this thing's all about. And there is an open sense of open sharing. They're kind of excited about, hey, I figured this out and they want other people to kind of know. And you're right, there's not

this protective nature for the most part amongst that community. It's kind of like, hey, this is cool. It reminds me of, like I was telling you earlier, of those early days of learning Photoshop at the very, very beginning. I'd set up in the computer labs with fellow students and we'd be like, hey, look at there's a thing called layers. And we were, you know, figuring this stuff out together. So this is sort of what it feels like all over again. Oh, gosh. You know what? I was I was literally talking about Photoshop with my wife, I think, like yesterday. And, you know, back, I don't know, 15, 18 years ago. Yeah, like, like even Photoshop was so hard to, to maneuver. And now, you know, Adobe just announced all of these new Gen A.I. Features, you know, Canva continues to push the game in that space. It seems like, and Brian, I like your take on this. It seems like what used to take, even like small tasks, like, you know, designing something in Photoshop that used to sometimes take many, many hours. Now takes a couple of seconds. Like, have you seen this yet personally? Oh, yeah. I mean, the, you know, generative feel on Adobe Photoshop just revolutionized the game. You know,

to have a four by six image and you suddenly need it to be a tall, being able to just come in and expand the canvas and generative feel, that's just amazing. Yeah, it's, yeah, the creative space is changing so quickly. And, and,

you know, that kind of brings us, brings us to the point of today's show and, you know, talking, you know, future crafting in the AI revolution. Let's maybe get people a little bit of background.

Like, let's even talk about like what future crafting even is, right? And also, Brian, Take us through even your personal journey, maybe, or your professional journey, you know, as being someone that's worked in the field for multiple decades, how have you seen the creative industry, you know, kind of change, you know, specifically, you know, the big jumps that we had over the last decade or two. But then what is the pace now of change in the creative field?

I think this is kind of interesting. You know, I just touched on the fact of starting when, you know, Adobe and desktop publishing was literally entering the field. And I shared recently a video that was a news broadcast from when Photoshop was first introduced. And then the verbiage that's used around it sounds exactly like the same things we're hearing today around generative AI. There's this sense that desktop publishing was going to, you know, kick people out of the industry, that all these jobs are going to be lost because of desktop publishing. It levels the playing field and people who spent so much time and energy. mastering these skills were no longer valuable. But I think the reverse is true.

Just because you can doesn't mean you will. And so this is the thing I keep finding is even though Photoshop definitely made it a whole lot faster than having to go do photo editing in a dark room, we're able to advance the speed of things, which means we're able to be more accessible to our creative abilities. Now, with generative AI, it's really, it's an amplification. to the creative professional. I was mentioning that I created a generative AI manifesto, and one of my points is AI as amplifier.

I'm a read from my note here. It says our tools may be cutting edge, but they serve to enhance, not replace human creativity. The human element is still core to everything that we're about. Even though generative AI is going to fast track and help us to do some things quicker than we have ever been able to do before,

it's still the human element and the human creativity that's going to make a difference. Yeah, Brian, I do I do want to follow up, but real quick, just as a reminder, if you're joining us live, thank you very much, Dr. Harvey Castro saying, good morning to the community. Alar saying, hey, gang, Cecilia, just saying, welcome to Brian. Jay saying, Brian, thanks for being here. Yeah, Brian, thank you for being here. I'm excited for this.

Hey, and get your questions in live now. If you're listening on the podcast, make sure to check out the show notes, subscribe to the daily newsletter. Come in and join these conversations. So, you know, Brian, one thing you talked about is, you know, mentioning you kind of wrote these different points on your Gen AI Creative Manifesto. And one thing, one thing that you mentioned there that I, I want to dig into a little bit deeper is saying about how AI will enhance, but not replace human creativity. Because personally, I'm on the same page as you.

But there's a lot of people, even in the creative industry right now, that don't necessarily feel the same way. And they say, okay, this is kind of replacing human. creativity. You know, look at this, you know, this art project that, you know, I would, you know, kind of birth from zero. And it might take, you know, days or weeks. And now you can do it with the click of a button. So how do you kind of respond to those people that say, no, no, Brian, AI is absolutely replacing human creativity. Well, it goes back to my thought around generative AI is AI is still a tool. And how you leverage a tool, you know, it really is the makeup of the human

that's using it. In other words, you can take a skill saw and a table saw and sander and put it in the hands of anybody and you're going to get a result of some sort. But if you put it in the hand of a master, somebody who really understands the craft, they're going to produce furniture, they're going to produce things of quality. In the same way, generative AI in the hands of a creative person who understands the terminology, understand the language, they understand design direction, they understand storytelling. They're going to be amplified by the capabilities that generative AI, In other words, they're not hampered by this idea of a tool that fast-tracks their stuff. You know, the idea of Photoshop, what's interesting is, you know, Photoshop allows us to do things

so much faster than you could in a dark room. That doesn't remove the fact that there's still a human hand involved. We can sometimes get lost in the idea. Well, all I did was put a prop. But prompting is language to itself. You have to know how to speak effectively to get a result that you're after. You and I were talking recently here on the idea of chat, GPT, where, if you let chat gbt create the content for you totally it's going to look like chat gpte generated the

content it does it loses the human element uh so we have to engage with it as a human uh and pull out our personality pull out our heart and our passion and the story uh so that we're engaging in a creative way yeah it's it it is such a good point and yeah we were right before we went on you know i was kind of griping to brian you know it's you can tell when people use uh minimal on the front end in creating generative AI content because sometimes it does kind of leave a digital footprint of, okay, yeah, this seems like there wasn't a lot of effort put into it. And, you know, some great comments here from the audience. So Michael saying it may be the individuals that didn't previously know the creative tools that

designers know now have the ability to use generative AI as a tool instead of using as a professional. That's a great point, you know, Brian. And I like to get your take because, you know, even as someone that's, you know, quote unquote, I've been a creative for, I don't know, 15 to 20 years, you know, doing this professionally. But now, you know, someone with very little experience can come in. And if they, you know, if they put a little bit of work into it, not even a ton, they can display and exhibit a level of creativity that used to take many, many years to refine.

Is that a good thing or a bad thing for the creative field in general? I think it can be a good thing. The reason is because creativity is never something we want to squash. You know, creativity is problem solving. And I think the beauty of design as a whole is to be able to amplify that and get better results. You know, it's speed to result, but it opens a lot more doors. Now, you're right. There is an element of, hey, suddenly my job's maybe being taken away because another person can do it and no longer need me.

You know, the nature of life is everything constant is changed. In other words, nothing ever stays the same. If it did stay the same, then we're going to kind of like, I want to continue at this status and never have to worry about anything changing. Well, I didn't mention, but I ran an agency for 23 years from July of 99 until December of 2022. And over that time, I had to make multiple pivots in order to stay active and effective in the industry. You know, from desktop publishing, that was where I started with things in marketing and branding and such. but then I added web development.

I had to learn HTML and I learned Flash and, you know, I learned all these basic tools. At the same time, I was a teacher. I was an Adobe certified instructor. So that's how I met Josh Cavalier from yesterday's talk. I was teaching people how to use these tools. And it goes back to the same concept of, well, because you can do it with Dreamweaver, we no longer had to hand code in HTML.

Well, now we're taking jobs from people who, you know, we're handcored. That same argument gets repeated. over and over at nauseam, where there's a place where we can complain about the technology that advances things and moves us to a new place. But we need to leverage these tools and then kind of go for the next step. How do we now take this and then find a new way to solve new problems? Don't get stuck in your mindset thinking that just because I can't continue doing it the way I've done it, I need to just quit or it needs to be, you know, the field needs to be

made level for me. You as a creative, especially with your skill set, are able to amplify the possibilities inside of these new technologies. Generative AI is amplified greatly because of the knowledge that you bring to the table. Like I mentioned to you before, garbage in, garbage out. If you have a person who doesn't really understand design and they can get in their prompt, yeah, they can get some interesting visuals. But again, the story that we're trying to do here is we're trying to convey a core idea in a way that's compelling and engaging at moves the audience. So that's kind of my take on it. I love it. And, you know, Brian, I also love that you took us through kind of real quickly there, like the history of some recent tech innovations.

Yeah, you know, I even remember the same thing, you know, when when Dreamweaver came out and it said, oh, you know, web design is gone, right? Like this new Dreamweaver thing. And, you know, hey, by the way, how are people still using Dreamweaver? You know, nothing, nothing against it. But it's like that still is a thing and that still exists. And I'm not sure how. You know, very, yeah, a very, very interesting kind of. a comment here, you know, from Brian. He said he 100% agrees, you know, Gen AI is a tool. In the right

hands, you can yield great results in un-skilled hands, not so much. But I do even have a follow-up to that. And I wanted to get your take on this, Brian. You know, so we did say that, you know, prompting is a language in and of itself, you know, kind of like what Woosie just, just commented here. But, you know, one thing I've even started to notice is maybe a de-emphasized or a de-prioritized just less of a priority on the actual prompt, right? Because if you're talking about, you know, creative Gen. AI tools that many professionals use, such as, you know, Mid Journey or even like Dolly. So now we have Dolly 3, which is Open AIs, AI's AI image generator within chat GPT. But you can put a simple prompt now in Dolly. And then Dolly will spit it out in four different use cases and change

your prompt and expand upon it. Right. So we have that side of the coin. And then in Mid Journey, you know, back when it was, you know, mid-journey four-point-something, prompting really mattered. And I think now, you know, as we're at mid-jurney 5.2 and, you know, whether it's 5.3 or 6.0 or whatever is next. It seems like prompting is even becoming less and less important. So how do we even then find the balance of keeping that, yes, there is still creative input that goes into this when we can reap the benefits of the

creative output? I'm going to go back to the idea of it's still the human driver. And, you know, when you look at Mid Journey and you look at some of these other platforms, yeah, you can get some really interesting results. But I want to be the director. I want to be driving this thing where I want it to go. Google introduced the image in with the labs. Google, which allows you to do a prompt or basically I want a picture of and then it creates a series of four images. And it has a variation of how it prompted to get the result.

And it functions much the same way Google search. does. You know, like if I type in, I'm trying to find a pizza joint near me or whatever, then it interprets that and then gives me results. Well, that's kind of the same way it's creating the images. And so what's happening in that is you're releasing control of the results that you're getting by telling the search engine or you're telling the prompter, I kind of want something in this vein. You can come up with something creative and then you pick from those the best or what you like the best. Most professionals are not at the mercy of, of something that just gives them something.

They're looking for a specific look, a specific result. And so prompting becomes still at the front and center of that because we're trying to drive it to where we want it to go. Now, I do think that as Dolly 3 with Chatchibati is fully integrated and you can have conversations, then we're able to say, okay, it gives us a series of images and we can say, I like what you've done here. Let's refine this and move it more in this direction.

I think that's actually pretty cool because you're able to then still have the driver's seat engagement with it. You don't have to have the right prompt to get the result that you're after. So, you know, I still think there's a conversation that must be had with the computer to direct it to get what you're after. Yeah, it's, it's, you know, Brian, like one thing when you were saying that that I thought of, you know, again, I've been, you know, designing websites and doing graphic design and creative content for, you know, 20 years now. And it seems like even now, I'm assuming more of the role of a, even when I'm the one creating with generative AI, it seems like I'm more in this role of kind of like art director or creative consultants than the

one actually doing the creative work. Is that kind of the future of creative work is you are stepping out of, in theory, you know, kind of like a pen to the paper and you are more of the consultant or the art director, so to speak? I think so. I mean, I think that's the nature of quality of design to begin with. is we tend to, as creatives, want to kind of put our stamp on things. And especially when you were young in the industry, the idea is, you know, I'm going to make a mark and here's how I'm going to do it.

It's going to look this way. It's going to feel this way. It's going to express. So I can put this in the portfolio as I'm 100% responsible. But, you know, the nature of agencies to begin with is you have the guys on the bottom. And, you know, no cut to them. This is where we've cut our teeth and we get figuring things out. We learn the basic tools and things.

But as you advance within a career in the design field, then you're responsible for directing the people beneath you to create the results that's going to address the problem or the concern that the client has. So more and more, I think this is what's happening is generative AI is going to open the door for creative professionals to be able to engage this at an earlier entry point. You know, they still have to have the knowledge to get the results that they're after, much like you had to with any of the tools and the things of the past. But we're going to become more and more directors to refine the messaging that we're after. It still has the human element. That's still the core piece. 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. Y'all, there is so much great knowledge being dropped. I just have to pause and say, make sure if you're not already subscribed to the letter, go to the newsletter, go to your everyday AI.com.

Sign up for that because today's newsletter is going to be great because there's going to be so much great. So so much great just bullet pointing of all these insights. But, you know, Brian, I kind of want to get back to the beginning. And, you know, I kind of started the episode with, you know, hey, with everything that's going on in Gen AI, how can you actually, you know, how can creatives actually put Gen AI to work? What is your recommendation, you know, as someone that's that, that ran an agency for two decades? You know, how can you actually put Gen AI to work? because it seems like it's the never-ending question.

Yeah, so I'm actually, I launched something called AI Labs. It's underneath my AI Explore. And it's a long-term engagement with creative professionals where I'm going to walk them through basically a year's worth of content development. And you're going to see a lot of changes happen in this space. But what's amazing in this is what I'm doing is I'm trying to make generative AI a part of the creative workflow. I don't know if you've read the book, Atomic Habits, excellent book.

But the concept there is he dwells on multiple times is the idea, of we need to integrate, if we want to do something new, we need to integrate it into things that we're currently doing. So as a creative professional, we can't just say, oh, mid-jorney, cool, and go play with it and then figure out how to make it work. We need to integrate it into the daily task that we're engaging with, the same with ChatGBT, GBT, and these others. And so we have to revolutionize the approach that we're taking in our creative workflows in order to get the results where generative AI is playing in part. So with the AI lab that I've launched, what I'm doing in that is we're working with creative professionals and we're

working through a series of projects and I'm laying out the projects and I'm pulling you outside of your normal mental mindset. And what the idea is, for example, the very first project, this one's fun. I'm doing the history of advertising. And so I start with 1830s where we have the handbill and posters. And so the very first project is we have to create a handbill that's six by nine where we're going to create a smart watch. And so what would a smart watch look like for the 1830s?

And so it's not modern technology, it's information based off of where we are at that time frame. So what's funny then is it helps us to think outside of our box. So we're so used to the idea of create a social media post. Okay, well, we know what everybody else's social media posts look like. We can use these tools. We have to get outside of our normal range of thinking and then figure out how to integrate these tools in this new way of engaging. That's what opens up the door and creates new possibilities.

Yeah, it does seem like there's no short. shortage of way to tap into generative AI, especially as a creative, and maybe that's why it's difficult, right? But great, great question here from Maybrot saying, what is your specific? What is your favorite use case for creativity with AI? One of the funest things, I think, is being able to visualize ideas. For example, I did a post a while back a YouTube video where I went through the idea of what if I did a book review or a book video, you know, the idea of here's a new book that's being released. I'm going to visually tell part of the story to get people engaged. And it's almost like a movie trailer, but about a book.

Imagine that as a true concept of being able to sell a storyline with visuals that you can create and you can animate, you can throw sound to, and you can kind of lay the groundwork. This to me is really exciting because instead of saying, here's a product and here's some fun thing I can do with mid-jury, like, how do you actually integrate the creative possibilities of generative AI in unique ways? So that's what I find fun, is everyday finding new ways to express that. You know, another great question here from Cecilia, which I think sometimes we overlook, right, because we jump into these generative AI tools and they can just create great things. But it's like, what went into them?

So Cecilia's question is asking, how do you think that AI is being trained to be more inclusive and diverse so that it helps provide us options that help us overcome systematic implicit bias. Great question, Cecilia. What's your take on that, Brian? Cecilia, that's a great question. I think the biggest challenge we run into is the original training models were based around existing content. You know, the volume of information, for instance, I remember there was a complaint about using the term royalty king, whatever, and then getting the results. And it was always, here's a white dude with a crown. And I'm like, okay, this is not really showing a true, inclusive, and diverse presentation.

Well, the reason is because most of the pictures we have in the world today of Kings is going to be typically a white dude or men. And so the challenge with that then is how do we get the AI to think outside the box itself? We begin teaching it and saying, okay, it doesn't have to be limited to when you use the term royalty. It does not have to be the existing image set that we're working from. royalty can now have some new terminology. So it's part of the training model where we actually integrate with the training itself

and show it to think outside of itself. Or in other words, look outside of the realm of images that it's been trained upon. You know, and that's that that actually leads me to another question, right? Because earlier we talked about how, you know, garbage in, garbage out. How can creatives maybe push the boundary a little bit and to, you know, use these generative AI system. So yeah, whether we're talking like, you know, an AI image generator like mid-Journey or Dali, you know, text inside chat GPT, maybe video inside runway, because if you are quote-unquote lazy on the front end, if you do the bare minimum, your output is going to be, you know,

pedestrian. So how can creatives even go through that process of using generative AI, put in a little bit more to get something a little bit better? I think that's a great question. So here's the thing that We as creatives are so intuitive in what we do that we don't walk through the mental process of what we're doing. In other words, when you jump into Photoshop and you're going to edit an image, you don't mentally go, okay, I need to open up this panel. And, you know, like if you had somebody over your shoulder watching what you're doing and they said, okay, stop. Don't look at what their computer. Walk me through the steps that you just took. We would mentally have to really do some work to think about the processes that we took.

it's so intuitive. It's like driving a car. We don't even think about it anymore. So when you're engaging with chatGBT and you're engaging with Mid Journey and these other platforms, now we've got to step back a little bit and say, okay, if I was explaining this to somebody sitting beside of me, how would I communicate it in a way where they understand the result that I'm going for and the means and the process is to take to get there? This is really the way you best engage with generative AI is you need to explain it to someone who's extremely smart. but not very intuitive and not very, you know, self-driven. So we need to kind of guide the whole process.

I think with ChatGBTGBT, what's fun is a lot of times I'll engage with, are you familiar with, say, the work of Simon Seneck? And it'll say, sure, certainly, I'm aware of that. And I'll say, okay, I like his book, why. And I want you to take from that concept and help me write copy that relates to, you know, some topic. And so what it does is it has a point of reference. And then it can drive the conversation around, you know, that, that themeing.

And it'll say, oh, by the way, whenever we're working with Simon Seneck, he likes to start with why, and then he does how and what. And he asks these series of questions. You know, so, and then it's able to kind of drive where we're going with things in a way that's intuitive to me, but not so much the generative AI had to kind of get it there with some information. So that's kind of the best way is utilizing your knowledge and then explaining it to the generative of AI.

It's, yeah, reverse, you know, kind of even reverse engineering, you know, your results or your intended results, I think is such a good, you know, piece of advice there. And even, you know, my quick take on it is, you know, if you are using a Gen AI system, it's not supposed to be one input, one output. You're supposed to go back and forth. You're supposed to have a creative conversation, you know, kind of like I, you know, being the art director, right? So a great, you know, great, great comments from Douglas here as we wrap up the show here, but saying, I just used Dolly 3 to create a picture and then Canbud to expand the picture for a project for my son's school project. Turned out great. Brian is, are we at the point now and maybe given your background working in creative fields? Are we at the point now where it's, it's almost like a level playing field where, you know, I think, you know, even five years ago, 10 years ago, people really had to,

to put the hours in, quote unquote, to, you know, kind of meet that minimum threshold of, you know, something that the general population could look at something and be like, oh, this is creative work. Is that down to about zero now? That's a great question. I think, you know, I don't say that it's level playing field in the sense that it's even for everybody, because you still have the human with their knowledge that's going to drive this stuff. So yeah, the potential's there. It's sort of like, you know, I could say everybody has access to Adobe Photoshop

that can spend the money to buy a copy. So the field's level for Photoshop. Well, that's not quite true because you still have to get in and learn how to use the tool. And I've been using it since the very beginning and there's still new things I'll learn every time they, you know, update with some new thing.

So what's funny is when it comes to generative AI, yeah, the potential is there for it to be a level field. But you still have to put in the work, you still have to, you know, figure out how to engage with it effectively. That's the reason there's people like yourself and myself and Josh Cavalier and others who are engaging with this stuff and saying, okay, we need to look at this more productively and think how can we get the best results from it. So yeah, the potentials there for it to be level, but that's not the way most things really work. It still requires the human element and the human

engagement. Wow. You know, we, we covered literally so much, but Brian, just just as our final closing thought here. Let's say someone now is tuned in. And what is that one parting piece of advice that you can give to people to say, like, hey, when you're looking at the future of creativity, here is the one thing that you should be doing to make sure that you're still practicing that creativity and you're still getting the most out of generative AI systems in the future? That's good.

So every single day since September 1st of last year, I've shared a how to own generative AI on my LinkedIn profile. Go there. You've got almost, let's see, 380 some days now of content that you can go through. Additionally, the content keeps coming every single day. Now, the best way to utilize it is to jump in and start doing. Don't just kind of read it and save it and put it somewhere else. And then one thing I do, so this is, you know, My book, I wrote AX4 Fund fundamentals.

But what I've done at the front of these books is I have a breakdown of how I approach learning. To get the most from the book, read it, do it, share it, explain it. And the reason is because as we take the time to teach other people what we're doing, it opens up the door for other people to learn how to do these things. But also the process of teaching is just kind of this almost selfish endeavor because it helps us learn it even better. So as you utilize these things and engage with them, share it, put it out there. It's going to help grow your reach and your capabilities. But it's also going to amplify the possibilities of generative AI. The more you use it, the more possibilities you'll see and just open up new doors for you.

Love it. You know, read, do, share, explain such great, great advice for people looking to get the most out of everything here. So, Brian, thank you again for joining the Everyday AI show. We appreciate your time and your insight. Thank you so much. All right. And hey, as a reminder, just go to Your EverydayAI.com.

Sign up for that free daily newsletter. We're going to be providing a lot of different resources that Brian talked about in that newsletter. So thank you for joining us. And we help to see you back for another episode of Everyday AI. Thanks, y'all. Thanks. 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.