Ep 209: AI as a Creativity Enhancer, not a Creativity Replacement

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Join the discussion: Ask Jordan and Paul questions on AI and creativity

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup

Connect with Jordan Wilson: LinkedIn Profile

Balancing Intellectual Property Rights and Fair Use

In a digitally convergent world where copyright infringement is a major concern, a potential solution has been suggested - a legal system approach. This method, that advocates resolving IP conflicts in courts encourages a constructive dialogue between content creators and users, thereby ensuring a balanced enforcement of watermark attributions and policy for fair educational use. As we advance technologically, an increase in judicial proceedings related to copyright infringement, IP, and watermarks is anticipated.

The Role of AI in Education

The debate over the inclusion of generative AI in school curriculums is increasingly relevant. Preparing children for a tech-dominant future calls for a curriculum updated with AI and other emerging technologies. Despite the current absence of AI content detection in education, there is an increasing need to integrate AI into the educational framework.

Unleashing Creativity through AI

There's a plethora of highly visible small language models, such as NVIDIA's Chat with RTX, Meta's Llama models, and the power of the RAG (Retrieval Augmented Generation) combined with small language models. These models showcase the potential of Small Language Models to tackle daily tasks effectively.

Updates on AI and its Applications

Empowering the ever-evolving AI space, startups are taking precautionary measures to avoid misinformation propagation through AI. Tech giants are also introducing new versions of their large language models with better efficiency. Unveiling the latest AI developments, a new AI text-to-video model has shown impressive capabilities in generating videos based on user inputs.

Quality vs. Quantity in AI-Generated Content

The sheer volume of content produced by generative AI tools might risk the quality and trust associated with human-generated content. There’s an increasing need to stress on the significance of storytelling and personal experiences, distinguishing human-created content from AI-generated output.

Prompt Engineering and Creativity

Within the realm of AI, prompt engineering is quickly gaining traction as a critical tool. Apart from aiding the creative process, it also offers substantial assistance to both generalist and specialist professionals.

AI and the Workforce

One of the concerns of AI advancements is the perception of AI as a direct replacement for human workforce. While AI holds the potential to automate repetitive tasks, it is the human touch that brings creativity to the workspace.

Defining Creativity in the Age of AI

Speed should not be confused with creativity, as creativity involves generating something both novel and useful. Although generative AI tools have the potential to recreate data, it’s the human element that adds uniqueness to a creation.

AI Models and Non-creative Individuals

Advanced AI models have the potential to influence even non-creative individuals towards embracing AI-powered creativity. However, the output quality of AI and its ability to reach super genius level remains a subject of intense debate.

By understanding these critical insights, business owners, decision makers and other leaders will be better equipped to leverage AI without compromising the human-centric creativity that differentiates a business from the others. Stay ahead of the curve, embrace AI, but let creativity be your ultimate guide.

Topics Covered in This Episode

1. Paul Eder's Perspective on AI and Creativity
2. Impact of Generative AI on human content
3. Exploration of Creativity Affect and AI
4.  Legal Aspects of AI

Video Insights

Podcast Transcript

Jordan Wilson [00:00:16]:
Can AI replace our creativity, or is it just there to enhance it? Is it just something that's gonna get everyone from a 0 to a 5, or can it bring someone who's a 5 in creativity to a 10? And what does this mean for our future of of content consumption? Well, we're gonna be talking about those things today and more on everyday AI. Welcome. My name is Jordan Wilson, and I'm your host of everyday AI. We're a daily livestream podcast and free daily newsletter, helping everyday people like you and me not just learn generative AI, but how we can all actually leverage it to grow our companies and to grow our careers. So if you're joining us live, thank you. If you're on the podcast, make sure, as always, check the show notes. So look in the episode description. We have a lot of other great resources, for you to check out.

Jordan Wilson [00:01:07]:
So one of those resources is our website every single day. People don't know this. Yeah. There's actually a newsletter written by me, a human. So we recap every single episode. We talk about what's going on in the world of AI news and a whole lot more. It's I I'd say it is a free generative AI university. There's 200 plus videos, podcasts, old newsletters you can go read on our website for free, in any category you care about.

Jordan Wilson [00:01:33]:
So you can go, you know, learn about AI in education or AI in entrepreneurship or whatever you care about. Alright. So now let's talk about what's going on in the world of AI news because there's a lot. Alright. Here we go. So first, Anthropic is steering away from voting questions according to reports. So artificial intelligence startup, Anthropic, is implementing safeguards for their chatbot, Claude, to avoid false information, particularly regarding elections. So Anthropic is testing a new technology called prompt shield that detects when users of its Jet AI chatbot ask about political topics, and then it redirects them to authoritative sources of voting information.

Jordan Wilson [00:02:10]:
So the company's decision to implement this technology was driven by limitations in Claude's ability to provide reliable and up to date real time election information. So we're gonna be hearing a lot about that, you know. We've already seen, Meta and OpenAI and some others put in some safeguards as well. Alright. Speaking of big companies, Gemini 1.0 lasted about a week. Gemini 1.5 is already out. So, Google has already updated its newest version of its large language model, Gemini. So Google is launching a new and improved version of their large language model, Gemini, with an increased context window and improved efficiency for users in the company.

Jordan Wilson [00:02:53]:
So the model is said to outperform OpenAI's GPT 4 in most cases, and we'll see as benchmarks start to roll out here in the coming weeks. So what's really noteworthy is the impressive context window of 1,000,000 tokens, allowing it to handle larger queries and process more information at once. However, some of those, longer context windows seemingly are gonna be limited to just businesses, larger businesses and developers as the standard window will just have a 128 k token context window, and that's what the general public will use. So that's about, you know, 96,000 words of back and forth before Gemini starts to, you know, lose its memory. So, Gemini is, part of the premium workspace products and has released a limited preview right now to everyone else. So you're not gonna see all these full 1.5 capabilities, but they will still be rolling out, slowly in the coming days. Alright. Last but not least, and this is what everyone's talking about.

Jordan Wilson [00:03:49]:
If you've been on the Internet in the last, 18 hours, you're seeing Sora. So OpenAI has released some previews of its groundbreaking new tech, Sora. So they just released, at least some previews for its new text to video model called Soa, which can generate videos up to a minute long based on user input. So OpenAI is sharing its research paper and samples that you can actually go download to gain feedback and is working on ensuring the safety and ethical use of the technology. So the company is collaborating with experts to test for potential harm and will publish safety evaluations. So if I have to give you my quick take on this, I did not believe it. If I'm being honest, I I I use every, I don't know a single generative AI tool. I haven't used I've used hundreds.

Jordan Wilson [00:04:40]:
Sora, it is mind boggling so far. I I I do not fully understand how it can even produce the level of quality. I actually did a rundown of, you know, comparing runway, you know, prompts with Soa prompts. Soa, you know, OpenAI shared the prompts that they use to generate these, so I did a side by side comparison. We'll have that in the newsletter as well. But, wow, what what what a big day. Speaking of creativity, let's talk about that, and let's let's see. You know? Is is AI just going to enhance our creativity, or could it actually replace us? But, don't worry.

Jordan Wilson [00:05:15]:
You don't just have me blabbing on today. We have an expert guest, so I'm excited to welcome to the show. There we go. Paul Paul Eder, who is a strategy and data consultant. Paul, thank you so much for joining the Everyday AI Show.

Paul Eder [00:05:28]:
Thanks for having me, Jordan. I I like to pretend like I know things sometimes, so this is good.

Jordan Wilson [00:05:33]:
Same. Hey. We're all we're all just pretending. Right? Like, there is no generative AI experts out there. We're all learning together. But, Paul, maybe maybe tell us a little bit about, you know, who you are and and what you do.

Paul Eder [00:05:45]:
Who am I? Well, I've been in the kind of the data and stats world for the past 20 years. I I got a PhD in social psychology, which is, I say, it's the study of normal people, if that exists. And, I help, I basically help organizations become more efficient and effective in a variety of ways. I've I've been in government consulting, for the past 16 years and, helped just a variety of government agencies implement, new processes and procedures. Some are tech based, some not tech based. So I've, I've dabbled in and out of tech. But, over the past year or 2, I've really gotten more into the AI space. And,

Jordan Wilson [00:06:22]:
you know, I'm curious, you know, with with someone with more of a a data background. Right? Mhmm. A lot of people, you know, when AI came out or, you know, quote, unquote came out, but when it became popularized with, you know, the text to blank models, you know, a lot of people just went down deeper in their own, you know, kind of niche. Right? So, you know, I'm curious even for you, you know, with a data background, you know, kind of what what pushed you to look at the creative side, you know, as well when generative AI started to popularize?

Paul Eder [00:06:51]:
Well well, this is this is where I'm kind of a a marriage of the left brain and right brain. Right? I I view myself as kind of a data poet. And and so I it's the the art meets science of data, and, I also kind of write poetry on the side, and I'm I kinda do my own journaling and writing and things like that. So what really flipped the switch for me is when the large language models came came into existence, and and it's also the, like, the art models that mid journey has and things like that. And it just blew my creative mind, and it it it really made me, less of a, you know, AI as a tech world thing to AI is an everyday thing. So look at that look at that plug.

Jordan Wilson [00:07:34]:
Yeah. No. Absolutely. And and, hey, as a reminder for our livestream audience, thank you for joining us, everyone from Tara and Chris. See, we got people from all over. Daniel joining us from Buffalo. Thank you. But let us know what questions do you have with AI and creativity.

Jordan Wilson [00:07:48]:
And and and and let's maybe start at the end, Paul. So, like, what is your your your overall take on AI? Is it gonna replace creatives, or is it just gonna help people, you know, be more creative? Well, you know, I'll

Paul Eder [00:08:00]:
start, you know, again, a little bit more of a background. I wrote my dissertation on creativity and and how people and organizations can be more creative. So this has been something I've been studying for a while. And, over the, you know, over the past year and a half as this become more popular, I've gotten in a lot of conversations, and probably my most, I guess, interesting conversations on social media, especially LinkedIn, have been in this realm where, you know, there's people strongly on both sides where, hey. These new AI models, these are very creative. They're so creative. I'm I'm afraid they're gonna take over the world versus, oh my gosh. My kindergartener could create this in the garage in a couple hours.

Paul Eder [00:08:36]:
What's what's, you know, what's the big deal here? And, the conclusion that I've come to is that in a lot of cases, people are confusing the act of creating with creativity itself, and they're substituting the concept of speed for creativity. Just because a tool can produce something that is, you know, passable or acceptable within 30 seconds, it doesn't mean that something that's passable is creative or that it took creativity to produce it. And, you know, I I always go back to what's the academic definition of creativity, and it's it's really a combination of 2 things. It's something that's novel that's also useful. So it has to have both of those characteristics. And and where the skeptics come down is that, yes, you know, AI produces useful stuff, but it's not exceptionally novel. In in in terms of, you know, some of the, you know, words that it produces, it borrows, it uses from other sources, some of the pictures and images it borrows. So in in that in that aspect of it, it's producing something you can use but isn't entirely new.

Jordan Wilson [00:09:45]:
You know what? That that concept there, I think, is important because, you know, even when we think of different generative AI tools Mhmm. A lot of them, you know, in in order to produce this, they're really just kind of recreating. Right? They're they're they're recreating what's in their training data. You know, most companies don't say, but, presumably, it's anything that's ever been on the open Internet, any image, any any video. You can almost

Paul Eder [00:10:09]:
And I'll stop you. I think I think humans do that too, but that's just my

Jordan Wilson [00:10:11]:
bias. Yeah. Yeah. So but I guess I guess my thought is right? So, as as this improves, right, because anyone that, you know, as an example, used MidJourney 4 and then MidJourney 5 and now MidJourney 6. Right?

Paul Eder [00:10:26]:

Jordan Wilson [00:10:26]:
The outputs are obviously getting better and better. So then I guess when it comes to speed and quality, you know, what we just talked about there, what happens, right, when not only the this the speed obviously is has caught up, but then what happens when the quality when it's not, oh, you know, 1 out of 10 are are usable? What happens when it's 10 out of 10? Does that change, the the the, I guess, answer to if, you know, creativity is just an enhancer or a replacement?

Paul Eder [00:10:53]:
Well, you know, you're you're you're speculating, and and and so in in that regard, I I'm still a skeptic. Right? I I know AI can produce great things, and it's it's gonna produce things that that I use all the time. But, you know, one of the things that that I've been using it for is coding. I've gone from not being a coder to being a Python coder. But one of the frustrations that I have is that it constantly forgets the context or takes out things that, you know, I've said to include and and things like that. So just from a a usability standpoint and my personal experience with it, I it it feels like the bugginess of the output in terms of being anything greater than average, isn't quite there yet nor something I can fathom. So at this point, you know, even looking at CHET GPT 4 versus 3.5, there were, researchers that took a look at divergent thinking tests and how well they, they performed on them. Check GPT 3.5 performs at about an average person level, whereas Check GPT 4 is slightly above average person level.

Paul Eder [00:12:03]:
You know, whether will AI get to the super genius level? I I don't know. But I right now, I'm I'm I'm happy with the slightly above average human level, and and that's a comfortable place for me. And but I don't think it's it's something where I'm gonna take the experts on my consulting teams and replace them with AI because I want people who are experts, not slightly above average people on my team.

Jordan Wilson [00:12:26]:
Sure. And, you know, I'm curious. You know? So let's let's go back to a little bit because you said that you did a your dissertation on creativity. Yeah. I wanna explore that a little bit more. So, like like, first of all, you know, can you tell us a little bit more about, you know, when this was? But, also, how do you think or maybe not. Do you think if you did the same, you know, dissertation, today or next year, do you think it would have come out any differently? Do you think that your, you know, like, background and, research would have changed the outcome of kind of what your dissertation concluded?

Paul Eder [00:13:01]:
Well, you know, my dissertation was in about 2008 time frame, 2007, 2008 time frame. 2007. Yeah. Yeah. 2007. I'm going you're asking me to think about timelines here. And, it really pertained, a lot of the assessment of creativity was supervisor assessment Gen AI and they and they, typically weren't the most creative person, maybe their supervisor doesn't know they're using it now and is is getting wowed, so may maybe there's a slightly difference there, slight difference in how the people would be rated. But it but in the end, what what I find is that people who are really not oriented towards being super creative tend to not even care about anyway.

Paul Eder [00:13:50]:
It's really the creative class who's getting really jazzed about this stuff and using it. So even though it can make people who are generally not creatively oriented get the average, they seem to not really care about it. You know? And that's just my personal experience.

Jordan Wilson [00:14:43]:
And then so with, I mean, with that in mind, right, because these these all of these, generated AI tools are just getting very, you know, very powerful. Right? Like, even you know, we talked a little bit about the new, OpenAI Soarer model, right, that Mhmm. Just released, you know, about 18 hours ago. You know, do you think that that's gonna change this? Right? Do you think that this is gonna, you know, not just like, people are are dabbling and, you know, someone who's, you know, not at all creative, and they're like, not not too jazzed about it as you said.

Jordan Wilson [00:15:32]:
You know? Do you think that's maybe just because it made people average? But if it does make people or if it has the capabilities to make people above average, do you think then that those noncreative people are all of a sudden going to be, hey. We're we're we're going headfirst into this, you know, AI creativity thing?

Paul Eder [00:15:51]:
I I I don't know whether they'll go head first, but their supervisors may think that they they can be replaced with it. So if if you can use Gen II to get a an average to slightly above average employee, why would you have a slightly below average employee anymore? And and so I think that's where some people's fear is is, hey. Hey. Is AI going to replace us? And in the end, it could it could replace you if you're there are certain leaders who kind of believe all employees are average and replaceable COGS. It's unfortunate, but that is that is really, a mindset that some people have. And if a if a leader has that mindset, they can make the decision. Now I can save a lot of money by firing all these people, and and not really notice that the the their complete output has turned to average verse when it wasn't before. So, there there is going to be some of that.

Paul Eder [00:16:45]:
There already has been some of that with some, I know, notable news organizations trying to generate, AI articles and then getting slammed for it because it's such poor quality.

Jordan Wilson [00:16:55]:
Yeah. Let's let's talk about that. Right? Because I, I think a lot of people have already started to experience this over the past year, just getting, bombarded with average written content. Right? Because so many people early on, you know, jumped on board with chat GPT, you know, and, unfortunately, you know, using the free version, which is, you know, subpar, I think, especially if you don't know what you're doing.

Paul Eder [00:17:19]:

Jordan Wilson [00:17:19]:
Do you think that as consumers, are we gonna be hit with an ongoing avalanche of of of just this this, you you know, mediocre content? And if so, what does that even do to the concept of of of creativity? Is is it gonna be too hard for actually creative people to stand out in a in a sea of of decent?

Paul Eder [00:17:39]:
Well, it it personality becomes very important that, you know, people will follow the people that they trust and that they trust aren't robots. So if especially if you're in social media, building that audience trust around you as a a producer of human content, is going to be very, very important. You know, a lot of people you know, I see this all the time, and and I'm so doubtful of it. People say, oh, I can tell the difference between AI and human content. I'm like, can you can you really? You know? It it I wanna see the definitive tests on that because in the end, you know, if you think that you can spot AI because it's like, oh, it does grammar right, it must be AI. I've I've had so many you know, ever since I taught in talking about AI, so many hundreds of people claiming that all of my articles and posts are AI. I'm like, well, obviously, people can't tell because I write my own poorly written articles. Right? You know? And and I you know, I'm and you you touted the fact that you have human written newsletter.

Paul Eder [00:18:42]:
My first my first skeptical eyebrow raise was, is it really human written newsletter? You know? And and and and just talking about AI makes you think you do everything with AI. It's such a bias out there now. It's so weird.

Jordan Wilson [00:18:55]:
Yeah. How do we you know, because I'm sure a lot of people listening today are maybe creators themselves. You know? They're they're trying to create content maybe for a small business, for a large business, or maybe to, you know, establish their their own brand. How can individual creators, you you know, balance? Right? How can they still leverage generative AI when they need to, But yet what you just said, how can they still have that that personality, and that trust, in that human piece still shine through?

Paul Eder [00:19:24]:
Well, I I I think the key is storytelling, being able to share personal experiences, things that only you would know and that AI wouldn't know, and and and focusing on that aspect of things because then people will trust that it's your own experience. Now can people, you know, tell their experience to chat GPT and have it write it up for them? Well, well, sure. But but in the end, that is still something that AI is producing that no other person could have AI produce. No one else can have AI produce your own experiences either. So so there there's it's still a differentiator in some ways. Yeah. And, you know, we actually have a ton

Jordan Wilson [00:20:02]:
of great questions. So I I wanna get to a couple of these. But, Mauricio, thank you for this. I I I think this is a great question. So Mauricio asking, would you consider effective prompt engineering as a creative tool? Paul, what's your take on that one?

Paul Eder [00:20:17]:
Oh, 100%. You know, my my favorite my favorite guy who really started talking about prompt engineering was Jared Benia. He's a AI guy who's been, just with ChatChippity and and AI from the the front and and really got me interested in a lot of different things. And, he really introduced me to the concept of prompt chaining, which is, you know, you you have your initial prompt, but what what do you do after that when you get your results? And, and maybe think about that from a from a more strategic perspective as well. So yeah. Absolutely. That's that's essential for a creative person to not accept what they first get and to continuously tweak and refine and and develop their own prop templates for getting what they need going forward. Absolutely.

Jordan Wilson [00:20:59]:
Oh, and I I couldn't agree more. I think anyone that spends a lot of time, hours a day prompting will tell you one of the most important future AI skills, I would say, is communication, effective communication, clarity in the written word, silly things like typing. Like, that's important. Right? Like, I think so many younger people aren't great at typing, so guess what you have to do a lot,

Paul Eder [00:21:32]:
text, so typing is less important in that in that regard. That's true. That's true.

Jordan Wilson [00:21:36]:
Another another great question from Andy. Andy, what's up? Thanks for joining. So saying, would you agree that generative AI benefits generalists over specialists by extending the skills and scope of creativity in a wider range of area through upskilling? Great question, Andy. What's your take on that one, Paul?

Paul Eder [00:21:53]:
Oh, well, you know, I definitely, I I've actually posted a lot about being kind of a a generalist who who just can't niche down just by, my personality. I I tend to just kinda jump all over the place. And so for someone like me, it opens up new doors like becoming a coder that I I wouldn't have, been able to do otherwise. So I can speak to my personal experience that as a as a generalist, yeah, it's fantastic. But, I know that there are are specialists, especially maybe those more in, like, the the health care space who are really working on AI to help with diagnoses and very specific things like that. And, so I can imagine, you know, it's it's kind of beneficial across the board. You know, generalists just tend to be a little bit more inch deep, mile wide, and now I can be mile deep, mile wide, which is pretty cool.

Jordan Wilson [00:22:46]:
Yeah. Yeah. No. It's yeah. It it it definitely changes, I think your outlook on on not just, like, the creative, process, but also how you how you distribute. Right? It it it like, what you can create on the front end changes everything that your company can or maybe shouldn't do, on on the back end. Our our audience is on fire today. So many great questions.

Jordan Wilson [00:23:07]:
It's a Friday. Right? Like, normally

Paul Eder [00:23:10]:
My my my fire starters, just so you know. So so I'm I'm setting fires everywhere.

Jordan Wilson [00:23:15]:
I love it. Alright. Well, here's here's a tough one. And and and, Tara, thank you for your questions. So Tara said, how can AI balance the enforcement of watermark attributions with the principles of fair use, ensuring that content remains accessible for educational review and commentary purposes without infringing on creators' rights. This is like a $1,000,000,000,000 question right now. Yeah. Yeah.

Jordan Wilson [00:23:37]:
Yeah. What is this? What's what's your take on this one, Paul?

Paul Eder [00:23:39]:
This is one that I've written about, you know, quite a few times on LinkedIn and and get a lot of people who are very strong in the the copyright, protection area. My take on this is, a little bit more, I guess, we'll say libertarian, freedom focused of, if if you're using something that's copying someone else's work and they can prove it, they have the legal system to help them do that. Some something is not copied and and not, and not unattributed unless the lawyers say so and the judge says so. And and so it's it's kind of I'm more of a, you know, a legal system absolutist on this that if you think you're being infringed, take it to court.

Jordan Wilson [00:24:25]:
Yeah. Yeah. And, that will be, I think, a topic that at least here in the Everyday AI Show, we'll be talking about nonstop. I've I've talked, you know, probably way too much about how 2024, we're gonna see so many court cases for these exact things, copyright infringement, IP, watermarks. You you know, it's it's gonna be messy. But

Paul Eder [00:24:46]:
It's gonna be messy, but OpenAI can afford really expensive lawyers. Yes. So they're gonna win.

Jordan Wilson [00:24:52]:
Yeah. I've said I I I said they probably have, like, the 92 dream team of lawyers.

Paul Eder [00:24:57]:
Yeah. Yeah. I mean, there's there's no way they don't win this.

Jordan Wilson [00:25:01]:
Yeah. Yeah. I yeah. Or just settle everything. Right? Yeah. So so, Paul, another good question here from Daniel, and especially, I think, with your background, you know, your your dissertation on creativity. I would love, to hear your answer on this. So Daniel asking, do you think generative AI will be its own course in school, or will it be become part of curriculums in every class?

Paul Eder [00:25:23]:
I have advocated that, just just from the start. Like, I mean, with teachers immediately, all over the place started fretting. Now I don't know if people are plagiarizing. I don't know, you know you know you know, how to grade these kids' papers and, you know, my even my own son had something sent back to him saying, this sounds too much like AI. Rewrite it. You know? And in the end, you know, the education system can't place this itself in a place where it's in the opposition to the zeitgeist. I'm very guy used the keyword that I get bonus points for. It has to embrace it.

Paul Eder [00:25:56]:
And if it really wants to train children for the future, incorporate it into classes as much as possible. And, you know, teachers can easily develop rubrics where they look at, hey. What was my initial prompt? How did I develop a prop chain based on that? How did I revise the final product? You can ask for all stages of the process if you're worried about the final product product is gonna be plagiarized. Ask them to show you each phase. And that's I mean, that that's, in my mind, what's gonna have to happen if if we want our kids to know this stuff and succeed with it.

Jordan Wilson [00:26:26]:
Love that. Great great question, Daniel. Great answer, Paul. And, hey, FYI, teachers, admin, everywhere out there, I don't say this enough. There is no such thing as AI content detection. It literally doesn't exist. I've probably spent 30 hours, you know, trying out everyone. Not not not a thing y'all.

Jordan Wilson [00:26:43]:
Just putting that out there. So so, Paul, we've we've talked about a lot. We've talked about the act of of creativity versus, you know, the act of creating something versus creativity. We've talked a little bit about even your own personal experience, you know, with with coding and with your background, you know, your dissertation in creativity. Right? So as as we kind of wrap up here, you know, because I'm sure there's a lot of people who are constantly thinking about how AI does impact them either as creators or potential creators. So maybe what's your one takeaway piece, you you know, that you can give to people that, you you know, that they can if they're interested in becoming more creative with generative AI, how do they do it and what should they keep in mind?

Paul Eder [00:27:24]:
I I use, AI as a starting point, but not a finishing point. If if you're if what you're doing is taking AI content and cutting and pasting it and giving it to someone, you're going to be average. If what you're doing is taking that what you initially get, adding your flavor, enhancing it, you know, even if you're doing AI art or AI video, incorporating that with something else that you're doing in in a more nuanced way, that is gonna be just more beneficial for society. And if you're in social media for your audience, than just any kind of cutting and pissing any day. So that's that's that's what I advocate.

Jordan Wilson [00:28:04]:
Great great advice. I love that. You know, it's not a starting point. It's a finishing point. Well, that's that's our finishing point.

Paul Eder [00:28:10]:
The other the other way.

Jordan Wilson [00:28:12]:
Oh, yeah. Sorry. Sorry. Yeah. Thank you. Thank you for correcting me. Hey. It's it's Friday for all of us.

Jordan Wilson [00:28:18]:
Right? Like, hey. That just shows you I'm I'm not an AI, Jordan. I'm I'm a human. I make mistakes. Right? Yeah. But, hey. We covered covered so much, here, Paul. Thank you, so much for joining the Everyday AI Show.

Jordan Wilson [00:28:29]:
We really appreciate it.

Paul Eder [00:28:31]:
Alright. Thank you very much for having me. I appreciate it.

Jordan Wilson [00:28:33]:
And, hey, as a reminder, we covered a lot. So make sure you go to your everyday AI .com. Sign up for that free daily newsletter. We're gonna be recapping what Paul and I talked about today at as well as a lot of other things, all that news we talked about and a lot more. Thank you for tuning in, and we'll see you back for another episode of Everyday AI. Thanks, y'all.

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