WEBVTT - Process Over Prompt: How to Use AI without Losing Your Spark

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<v Speaker 1>I'm TT and I'm Zakiyah, and this is Dope Labs.

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<v Speaker 1>Welcome to Dope Labs, a weekly podcast that mixes hardcore

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<v Speaker 1>science with pop culture and a healthy dose of friendship.

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<v Speaker 1>We're back with a follow up on AI. So we

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<v Speaker 1>previously talked about the environmental impact of AI, specifically large

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<v Speaker 1>language models or lms like chat GBT, and the need

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<v Speaker 1>to have a way to measure the resources required to

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<v Speaker 1>execute tasks. Yeah, but this time we're taking a look

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<v Speaker 1>at AI from a different angle and we're diving into

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<v Speaker 1>more of what's possible, the tools that are available, and

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<v Speaker 1>what's needed to leverage them if you choose to use them.

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<v Speaker 1>So let's jump right into the recitation. What do we know.

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<v Speaker 1>There's been a lot in the news on AI and

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<v Speaker 1>social media, and there was an environmental impact that we

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<v Speaker 1>talked about in Lab ninety four. Yeah, there's been discussions

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<v Speaker 1>of AI and education, particularly students' use of it. I've

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<v Speaker 1>seen everybody writing about that and a cheater Yeah.

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<v Speaker 2>Yeah, yeah.

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<v Speaker 1>Trump issued an executive order about early exposure and AI integration,

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<v Speaker 1>plus the opportunities for lifelong learners by creating a task force. Yeah,

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<v Speaker 1>let's move on to what we want to know. Yeah,

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<v Speaker 1>I feel like there's so much on the market for me.

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<v Speaker 1>I'm like, how do we keep up chat GPT? You know,

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<v Speaker 1>there's like this new AI tool.

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<v Speaker 3>Now.

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<v Speaker 1>I'm getting ads on Instagrams where people are like, I

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<v Speaker 1>created this AI tool and it does xyz you can

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<v Speaker 1>take a jpeg and blah blah blah. And I was like,

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<v Speaker 1>what am I clicking on? Did they think this is

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<v Speaker 1>what I want? It's AI overloaded at this point. It's like, oh,

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<v Speaker 1>you can use this AI to brush your teeth. I'm like, whooh,

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<v Speaker 1>okay that I am overwhelmed. And so what I want

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<v Speaker 1>to know is what's the key if you're a opting

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<v Speaker 1>and using AI, Like, how do you sift.

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<v Speaker 2>Through all of those AI tools?

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<v Speaker 1>Yes? And on the I guess the other side of

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<v Speaker 1>that coin, TT is what should you consider if you're

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<v Speaker 1>not using AI, Because just because you're not using it

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<v Speaker 1>doesn't mean you shouldn't know things about it, right, That's right.

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<v Speaker 1>So I think we're ready to jump into the dissection.

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<v Speaker 1>Perfect for this lab, we reached out to a creative

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<v Speaker 1>entrepreneur who is an expert at AI and teaches others

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<v Speaker 1>about it. Lauren is that girl when it comes to

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<v Speaker 1>branding it a designer educator. Yeah, call yourself our AI auntie.

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<v Speaker 4>I'm Lauren de Vane and I branded myself as your

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<v Speaker 4>aiu T on Instagram and on the Internet. I used

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<v Speaker 4>to run social media creative at All to Beauty before

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<v Speaker 4>I started my own things. So I kind of come

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<v Speaker 4>from a creative background. My degree is in graphic design.

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<v Speaker 4>So I'm the creative AI girly that you find helping

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<v Speaker 4>creatives entrepreneurs figure out how to be using ai I

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<v Speaker 4>in their creative workflows but also just like in their

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<v Speaker 4>everyday life and figuring out ways that it can really

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<v Speaker 4>be beneficial to us in all of the things.

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<v Speaker 3>So yeah, that's what I do.

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<v Speaker 2>Oh my goodness.

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<v Speaker 1>So what made you start weaving AI into your workflow? Like,

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<v Speaker 1>what was the thing that popped up where you said,

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<v Speaker 1>uh huh, I've got to tap in.

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<v Speaker 3>So for me, it was discovering mid Journey.

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<v Speaker 4>So chajubt existed before mid Journey, but it was early days, right,

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<v Speaker 4>it was still like twenty twenty two. It couldn't do

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<v Speaker 4>that much yet, And so I tried Chad Jubet, I

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<v Speaker 4>tried Dolly, which is open Ayes image.

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<v Speaker 3>Generation tool, and I was like, this is so bad.

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<v Speaker 4>Fast forward a couple months later, we were like December

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<v Speaker 4>twenty twenty two. I always see these images of just

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<v Speaker 4>such surreal show and I'm like, these aren't photos, Like

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<v Speaker 4>where are these coming from?

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<v Speaker 3>How are people making these?

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<v Speaker 4>And so I found a YouTube that was like mid Journey,

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<v Speaker 4>but it was on Discord at the time, and I

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<v Speaker 4>had no knowledge of Discord, and so I needed to

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<v Speaker 4>find out like how I could be using this tool.

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<v Speaker 4>So I like went into like a forty eight hour

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<v Speaker 4>like I just dove so deep in. It was just

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<v Speaker 4>like making all these images, learning what I could do,

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<v Speaker 4>and it came out of it and just had such

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<v Speaker 4>a different perspective based on what I had done for

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<v Speaker 4>the last ten years working at Walgreens and working at Alta,

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<v Speaker 4>being a designer and a creative and an art director

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<v Speaker 4>and a stylist and photographer, and I just was able

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<v Speaker 4>to see, oh my god, the way that this could

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<v Speaker 4>impact and change the way that creatives are executing photo

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<v Speaker 4>shoots or any like any sort of creative execution. How

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<v Speaker 4>this could change it in terms of speed, intent, in

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<v Speaker 4>terms of cost, in terms of everything, and this just

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<v Speaker 4>kind of it all like crescendoed at the right time,

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<v Speaker 4>and I just started teaching designers how to use AI

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<v Speaker 4>and that just turned into what it is now.

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<v Speaker 2>Amazing, amazing.

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<v Speaker 1>The reason I thought it was so great that we

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<v Speaker 1>had the chance to talk to you is because I

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<v Speaker 1>just saw MIT drop a study that was saying the

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<v Speaker 1>more we rely on AI tools, particularly like chat GPT,

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<v Speaker 1>the less our brains light up, like our neurons are

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<v Speaker 1>just saying I'll pass. And they're calling it cognitive debt.

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<v Speaker 1>So basically they're saying, your creative muscles can get lazy

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<v Speaker 1>when you use these tools to do a lot of

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<v Speaker 1>the thinking. But there's also a twist because there was

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<v Speaker 1>another study and they were saying, if you pause and

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<v Speaker 1>reflect and get kind of meta, which is not just thinking,

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<v Speaker 1>but thinking about how you're thinking, that AI tools can

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<v Speaker 1>actually boost your creativity and originality. And I want to

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<v Speaker 1>know your take, because you've gone from traditional design and

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<v Speaker 1>branding support to AI enhanced work. Do you think the

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<v Speaker 1>AI tools are making a sharper or too comfortable?

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<v Speaker 4>I think the harder thing to grasp is that PREAI,

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<v Speaker 4>when we look at different tools, they generally.

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<v Speaker 3>Are doing like one thing for you.

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<v Speaker 4>Whereas AI it's like I could use it to help

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<v Speaker 4>me learn how to code, where you could use it

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<v Speaker 4>to learn how to come up with an entire strategy

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<v Speaker 4>for your business, while someone else could be using it

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<v Speaker 4>to learn how to like understand what their dietary needs

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<v Speaker 4>or whatever it is.

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<v Speaker 3>Right, So there's so many.

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<v Speaker 4>Use cases for AI that I think when we are like, oh, well,

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<v Speaker 4>it's gonna make you stupid, or it's like but in

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<v Speaker 4>what capacity?

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<v Speaker 3>Right?

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<v Speaker 4>And then I also think that like the other bigger

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<v Speaker 4>piece of that is most people don't know how to

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<v Speaker 4>use it properly.

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<v Speaker 3>And that tends to be the issue because if you're

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<v Speaker 3>using it, and this is one of the biggest thing

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<v Speaker 3>that I teach my students and all my followers is

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<v Speaker 3>process over prompt.

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<v Speaker 4>It's conversation over command. So it's not just like telling

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<v Speaker 4>it to do this one.

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<v Speaker 3>Thing and then like that's it.

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<v Speaker 4>It's like, okay, you ask it to do this thing,

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<v Speaker 4>and then it gives you an output, and then you say, oh, well,

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<v Speaker 4>based on that, can I have three ideas that would

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<v Speaker 4>you know, blow up from here? And then we pick

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<v Speaker 4>one of those and we say, okay, I have this, this.

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<v Speaker 3>And this idea. So it's more about the way that

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<v Speaker 3>you use it.

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<v Speaker 4>I think it probably maybe isn't going to make you

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<v Speaker 4>any smarter if you just take the first output and

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<v Speaker 4>run with it and say that's it.

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<v Speaker 3>But if you.

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<v Speaker 4>Understand how it works and how to actually work with

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<v Speaker 4>it as a collaborator and a partner, and you have

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<v Speaker 4>the domain expertise yourself, and that's another thing that is a.

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<v Speaker 3>Huge piece of it.

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<v Speaker 4>It's like, if you're already good at what you do

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<v Speaker 4>and you understand all that this is really just like

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<v Speaker 4>asking another person to come into the room that's also

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<v Speaker 4>at the same level as you and have a conversation,

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<v Speaker 4>whether it's a person or a group of ten different

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<v Speaker 4>people that you say I want you to come in.

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<v Speaker 4>From this perspective, it's like when you know how to

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<v Speaker 4>prompt it and you know the ways that you can

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<v Speaker 4>use it, I absolutely do not believe that it's making

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<v Speaker 4>us stupider, number or slower. I mean, since I've been

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<v Speaker 4>using it, I feel like my creativity is only exploded

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<v Speaker 4>in the way that I'm able to think about ideas

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<v Speaker 4>and the way that I'm able to quickly iterate on

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<v Speaker 4>ideas and then be like this is the best option, right,

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<v Speaker 4>Like I just think it's all about the way you

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<v Speaker 4>use it and depending on how they ran these tests, right,

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<v Speaker 4>what does that look like. Is it people that are

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<v Speaker 4>that know how to use chad GPT, Is it just

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<v Speaker 4>a bunch of students that have never learned right?

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<v Speaker 3>So I think there's always going to be this side

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<v Speaker 3>or that side of the coin when you look at it.

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<v Speaker 1>The other thing that I always tell folks is that

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<v Speaker 1>the tool is only as good as you are, Like

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<v Speaker 1>the analogy I always use because people are like, oh, no,

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<v Speaker 1>using AI is cheating.

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<v Speaker 2>All these undergrads are cheating. They're cheaters.

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<v Speaker 1>They're cheaters, they don't know anything, they're dumb, all these

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<v Speaker 1>things like that, And I'm like, listen, back when the

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<v Speaker 1>abacusts was made, mathematicians thought using an advocust was cheating.

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<v Speaker 1>When the calculator became a thing, they thought that that

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<v Speaker 1>was cheating. But the thing is is that the calculator

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<v Speaker 1>is only as good as the user. I can give

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<v Speaker 1>you a really advanced calculator and say, calculate the area

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<v Speaker 1>under this curve. If you don't know what to put

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<v Speaker 1>into the calculator, you won't get the right answer. You

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<v Speaker 1>can get an answer, it probably won't be right, and

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<v Speaker 1>so I always say, all of these AI tools are

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<v Speaker 1>only as good as the user. It'll only get you

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<v Speaker 1>but so far, which is the reason why when students

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<v Speaker 1>are using AI, it can only get them to a point,

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<v Speaker 1>and then their professors or teachers or whoever will ask

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<v Speaker 1>them for more, and that's when they have to start

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<v Speaker 1>really thinking critically and using it as an assist rather

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<v Speaker 1>than the only thing that they're using. As the only

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<v Speaker 1>tool that they're using, they have to use their brains.

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<v Speaker 4>Yeah, I totally agree, and I think you know, when

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<v Speaker 4>you look at the whole idea of like students and

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<v Speaker 4>the way that they're using it and whether it's cheating

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<v Speaker 4>or not, I think we also probably need to look

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<v Speaker 4>at like the way that teachers are evaluating students in

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<v Speaker 4>their work. So maybe it's less about what is the

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<v Speaker 4>final output, but like show me how you got to

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<v Speaker 4>this output, Like where what was the thinking? If the

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<v Speaker 4>technology is shifting, I think so needs to.

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<v Speaker 3>The way that we are teaching children how to use it.

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<v Speaker 1>Right, Men should definitely include assessing process, not just output.

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<v Speaker 1>That's what we think about for dope labs. It's like, yes,

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<v Speaker 1>I want you to know these facts, but i'd like

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<v Speaker 1>you to think about the string of questions that got

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<v Speaker 1>us here. We start with what we know, and then

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<v Speaker 1>what we want to know and what questions do we

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<v Speaker 1>ask to get to those answers?

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<v Speaker 3>And I think so many people don't know the questions

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<v Speaker 3>to ask.

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<v Speaker 4>This is what I tell people. Context is key. The

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<v Speaker 4>more context you give it, the better the output's going

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<v Speaker 4>to be because without any knowledge of what it is

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<v Speaker 4>they're actually trying to do or achieve, how is it

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<v Speaker 4>able to like know what you want and then also

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<v Speaker 4>being able to write a prompt that is actually going

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<v Speaker 4>to get you good stuff out of it. So never

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<v Speaker 4>taking something just and running with it on its own,

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<v Speaker 4>but always looking at it and evaluating it and saying,

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<v Speaker 4>is this what I actually.

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<v Speaker 3>Want out of it?

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<v Speaker 4>I think people look at AI and chat Gypts it's

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<v Speaker 4>like the scary techy thing, and it's not. It's all

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<v Speaker 4>about communication. If like, I think teachers and journalists those

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<v Speaker 4>are the people that are going to be using these

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<v Speaker 4>tools the best because they already know how to like

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<v Speaker 4>communicate properly right and ask questions well.

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<v Speaker 3>And I think that's so much about what this is.

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<v Speaker 4>And if you are, like I said, a domain expert

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<v Speaker 4>in what you do. Then you're gonna know those questions

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<v Speaker 4>to ask.

0:11:11.960 --> 0:11:12.600
<v Speaker 3>You're gonna know.

0:11:12.559 --> 0:11:14.600
<v Speaker 4>When something's wrong, and you're gonna be like that sounds

0:11:15.120 --> 0:11:16.000
<v Speaker 4>like a terrible idea.

0:11:16.120 --> 0:11:16.840
<v Speaker 3>Let's not do that.

0:11:16.920 --> 0:11:19.760
<v Speaker 4>Why did you give me that idea? So it is

0:11:19.840 --> 0:11:21.760
<v Speaker 4>all about that, like back and forth with it.

0:11:22.040 --> 0:11:40.640
<v Speaker 1>Yeah, what are your go to AI tools? Folks are

0:11:40.720 --> 0:11:43.319
<v Speaker 1>always talking about Chat GBT, but there's so much more.

0:11:43.360 --> 0:11:44.360
<v Speaker 2>Can you talk about those?

0:11:44.559 --> 0:11:48.440
<v Speaker 3>Yeah? So Chat, I would say, Chat is my like

0:11:48.600 --> 0:11:50.040
<v Speaker 3>go to right now.

0:11:50.320 --> 0:11:54.440
<v Speaker 4>We are in a place where stuff moves so fast, right, yes,

0:11:54.520 --> 0:11:58.760
<v Speaker 4>but right now, Chat has deep research that is so good.

0:11:58.880 --> 0:12:01.880
<v Speaker 4>It has image general that is so good. It has

0:12:01.960 --> 0:12:05.560
<v Speaker 4>these three advanced reasoning models that are like next level.

0:12:05.840 --> 0:12:07.959
<v Speaker 4>I'm not on the free plan. I'm also not on

0:12:08.000 --> 0:12:09.920
<v Speaker 4>the Plus plan. I'm on the Pro plan. I'm paying

0:12:09.920 --> 0:12:11.720
<v Speaker 4>two hundred dollars a month for this thing, which is

0:12:11.840 --> 0:12:14.720
<v Speaker 4>insane to me. I remember saying when I was paying

0:12:14.760 --> 0:12:16.160
<v Speaker 4>the twenty dollars a month that I would pay tw

0:12:16.200 --> 0:12:17.760
<v Speaker 4>hundred dollars a month for this, and I was like, no,

0:12:17.840 --> 0:12:20.959
<v Speaker 4>I wouldn't. But now I'm like, absolutely I would. Because

0:12:21.280 --> 0:12:25.480
<v Speaker 4>with the Pro subscription you're getting almost unlimited messages. On

0:12:25.559 --> 0:12:28.839
<v Speaker 4>all of the models, and these advanced reasoning models are

0:12:28.920 --> 0:12:30.480
<v Speaker 4>like next.

0:12:30.280 --> 0:12:31.520
<v Speaker 3>Level what they can be doing.

0:12:31.600 --> 0:12:34.280
<v Speaker 4>I mean filling in for what you'd be paying five

0:12:34.760 --> 0:12:38.040
<v Speaker 4>ten thousand, fifty thousand dollars to a consultancy to do

0:12:38.559 --> 0:12:40.560
<v Speaker 4>that you can run and do in an hour on

0:12:40.600 --> 0:12:43.600
<v Speaker 4>your own, Like it's it's crazy. So Chat, I do

0:12:43.720 --> 0:12:48.000
<v Speaker 4>think is a really great option. You've obviously got Gemini

0:12:48.080 --> 0:12:52.199
<v Speaker 4>from Google, which I if you follow me on Instagram.

0:12:52.200 --> 0:12:53.080
<v Speaker 3>A while back.

0:12:53.240 --> 0:12:57.320
<v Speaker 4>I used to just I hated Gemini anything for the

0:12:57.320 --> 0:12:58.560
<v Speaker 4>Gemini the time.

0:12:58.720 --> 0:13:01.840
<v Speaker 3>It's just like it's so bad, Like it's so bad.

0:13:01.880 --> 0:13:04.320
<v Speaker 4>And now I'm like, no, dude, it is good, and

0:13:04.400 --> 0:13:07.600
<v Speaker 4>like their video model is so good. I had like

0:13:07.679 --> 0:13:10.079
<v Speaker 4>a moment a couple of weeks ago when it came

0:13:10.120 --> 0:13:13.000
<v Speaker 4>out where I was just like, Okay, maybe I'm a

0:13:13.200 --> 0:13:17.160
<v Speaker 4>little bit nervous about this because it's creating these videos

0:13:17.160 --> 0:13:18.760
<v Speaker 4>that are so lifelike.

0:13:18.480 --> 0:13:19.559
<v Speaker 3>With native sound.

0:13:19.720 --> 0:13:23.160
<v Speaker 4>And that's scary is you've got voice that matches lips

0:13:23.160 --> 0:13:26.199
<v Speaker 4>that matches something that's totally fake and someone can just

0:13:26.240 --> 0:13:27.720
<v Speaker 4>put in any text.

0:13:27.440 --> 0:13:28.400
<v Speaker 3>They want for it to say.

0:13:28.480 --> 0:13:31.840
<v Speaker 4>So like, the video models are getting really really good,

0:13:32.160 --> 0:13:36.880
<v Speaker 4>and then Anthropic has Claude, the brother and sister that

0:13:36.920 --> 0:13:41.000
<v Speaker 4>founded Anthropic, actually started at open Ai with Sam Alman

0:13:41.120 --> 0:13:43.600
<v Speaker 4>with Elon Musk. They left and they were like, we're

0:13:43.600 --> 0:13:45.439
<v Speaker 4>gonna go and create.

0:13:45.160 --> 0:13:46.280
<v Speaker 3>A safer AI.

0:13:46.440 --> 0:13:50.280
<v Speaker 4>So there's a lot more like guardrails around Anthropic and Claude.

0:13:50.320 --> 0:13:53.360
<v Speaker 4>But it's so good at creative writing. It's so good

0:13:53.360 --> 0:13:56.600
<v Speaker 4>at creative writing, so it's real, and it's good at code.

0:13:56.400 --> 0:13:58.880
<v Speaker 3>Right, But the problem there in lies that they all

0:13:58.920 --> 0:14:01.280
<v Speaker 3>freaking leap froggy every week.

0:14:01.600 --> 0:14:03.439
<v Speaker 4>So it's like this is the best one and now

0:14:03.520 --> 0:14:05.640
<v Speaker 4>this is the best one, and it's like I can't

0:14:05.720 --> 0:14:09.320
<v Speaker 4>keep up. But Anthropic, Open Ai and Google are going

0:14:09.360 --> 0:14:12.880
<v Speaker 4>to be remain for like large language models and then imagery.

0:14:13.480 --> 0:14:14.360
<v Speaker 3>I love mid Journey.

0:14:14.400 --> 0:14:17.400
<v Speaker 4>They just came out with video last week and it's

0:14:17.559 --> 0:14:18.400
<v Speaker 4>really really good.

0:14:18.440 --> 0:14:20.200
<v Speaker 3>I was not expecting it to be good.

0:14:20.360 --> 0:14:23.520
<v Speaker 4>They've got a bunch of new stuff with like omni reference,

0:14:23.600 --> 0:14:26.680
<v Speaker 4>so being able to you know, take your company's product,

0:14:27.120 --> 0:14:29.880
<v Speaker 4>take a shot of it on your counter, bring that

0:14:30.000 --> 0:14:31.800
<v Speaker 4>in and have it reference it and be able to

0:14:31.800 --> 0:14:35.120
<v Speaker 4>get it really close and then turn that into video, right,

0:14:35.160 --> 0:14:38.600
<v Speaker 4>And it's just like so like what you can do

0:14:38.640 --> 0:14:41.520
<v Speaker 4>now is so crazy, But those I think would probably

0:14:41.600 --> 0:14:47.080
<v Speaker 4>might be my my, Well, I have one more, okay, okay,

0:14:47.440 --> 0:14:51.000
<v Speaker 4>So and it just opened in beta like recently to everyone.

0:14:51.040 --> 0:14:52.880
<v Speaker 3>I've been using it in alpha for a long time.

0:14:52.960 --> 0:14:57.160
<v Speaker 4>It's called da and it's a browser, so it's from

0:14:57.280 --> 0:15:00.760
<v Speaker 4>the browser company. They have another browser are called Arc,

0:15:01.320 --> 0:15:07.160
<v Speaker 4>but Dia is an AI browser. So basically on any

0:15:07.240 --> 0:15:10.840
<v Speaker 4>website that I'm on, that is the context. So I

0:15:10.880 --> 0:15:13.360
<v Speaker 4>could just open up a chat and be like, hey,

0:15:13.400 --> 0:15:15.720
<v Speaker 4>can you tell me x y z and it'll just

0:15:15.840 --> 0:15:18.040
<v Speaker 4>take everything on there, or a YouTube video you can

0:15:18.080 --> 0:15:19.560
<v Speaker 4>be like, can you summarize.

0:15:19.040 --> 0:15:19.840
<v Speaker 3>This YouTube video?

0:15:20.040 --> 0:15:22.080
<v Speaker 4>So say I'm like planning a trip right and I've

0:15:22.080 --> 0:15:25.160
<v Speaker 4>got like six different Airbnb tabs open. I just tag

0:15:25.240 --> 0:15:26.520
<v Speaker 4>in all of them and say, can you create a

0:15:26.520 --> 0:15:29.080
<v Speaker 4>comparison chart for me for this? Give me the pros

0:15:29.120 --> 0:15:30.520
<v Speaker 4>and cons, like whatever it.

0:15:30.520 --> 0:15:34.840
<v Speaker 3>Is, but no more switching taps. Yes, it is so and.

0:15:34.800 --> 0:15:37.760
<v Speaker 4>It's so good because it's running GBT four point one

0:15:37.840 --> 0:15:40.480
<v Speaker 4>on the back end, so it's it's quick and it

0:15:40.640 --> 0:15:43.000
<v Speaker 4>just came out and beta like a week and a

0:15:43.000 --> 0:15:44.240
<v Speaker 4>half ago, two weeks ago.

0:15:44.360 --> 0:15:47.240
<v Speaker 1>So the way you felt about what was it, The

0:15:47.240 --> 0:15:48.920
<v Speaker 1>way that you didn't like Gemini Ja. The way you

0:15:48.960 --> 0:15:51.400
<v Speaker 1>felt about it is the way I currently feel about Copilot.

0:15:52.200 --> 0:15:54.760
<v Speaker 3>I never even tried. I mean I used Copilot for

0:15:54.800 --> 0:15:55.880
<v Speaker 3>like two days.

0:15:55.760 --> 0:15:57.720
<v Speaker 4>But that was It's I don't know Windows, they don't

0:15:57.760 --> 0:15:59.080
<v Speaker 4>know Microsoft, they don't know any of it.

0:15:59.120 --> 0:16:02.760
<v Speaker 1>I'm like, it's from such a waste of time. Love Claude, though,

0:16:03.000 --> 0:16:03.600
<v Speaker 1>Love Claude.

0:16:03.760 --> 0:16:07.680
<v Speaker 4>Okay, speaking of though, Google, Notebook LM is another.

0:16:07.840 --> 0:16:13.280
<v Speaker 2>Really Notebook LM is good, so good.

0:16:13.320 --> 0:16:14.320
<v Speaker 1>I haven't tell you my.

0:16:14.360 --> 0:16:15.640
<v Speaker 2>Notebook LM story.

0:16:16.200 --> 0:16:20.320
<v Speaker 1>Tell it. At work, my supervisor, we were we were

0:16:20.320 --> 0:16:21.800
<v Speaker 1>doing we had an off site, so were doing all

0:16:21.800 --> 0:16:22.240
<v Speaker 1>this stuff.

0:16:22.280 --> 0:16:24.640
<v Speaker 2>And this is part of my next question.

0:16:25.600 --> 0:16:28.560
<v Speaker 1>A lot of industries are now making it so that

0:16:28.640 --> 0:16:30.760
<v Speaker 1>everybody that works in their company knows how to use

0:16:30.800 --> 0:16:32.960
<v Speaker 1>AI and knows how to use it effectively. So we

0:16:32.960 --> 0:16:35.400
<v Speaker 1>were doing these kind of like experiments where we were

0:16:35.480 --> 0:16:39.520
<v Speaker 1>using AI to build certain things, and we used Notebook

0:16:39.640 --> 0:16:42.400
<v Speaker 1>LM to create a podcast, and do you know, we

0:16:42.640 --> 0:16:46.720
<v Speaker 1>uploaded what the input was a picture of something that

0:16:46.760 --> 0:16:50.240
<v Speaker 1>he drew on this whiteboard in his handwriting. It's like

0:16:50.520 --> 0:16:52.880
<v Speaker 1>chopped up words, and it just like kind of showed

0:16:52.920 --> 0:16:56.160
<v Speaker 1>like the this ecosystem that we were trying to create

0:16:56.640 --> 0:17:01.320
<v Speaker 1>and Notebook LM took it and made like a twenty

0:17:01.400 --> 0:17:04.520
<v Speaker 1>five minute podcast and it was spot on. There were

0:17:04.520 --> 0:17:08.800
<v Speaker 1>two hosts, it was crystal clear, everything made sense.

0:17:08.800 --> 0:17:13.000
<v Speaker 2>I was like, we barely gave it anything. It was amazing.

0:17:13.440 --> 0:17:14.200
<v Speaker 3>It's nuts.

0:17:14.320 --> 0:17:18.320
<v Speaker 4>It's nuts, and what's even crazier now, So like for

0:17:18.400 --> 0:17:20.840
<v Speaker 4>anyone listening, basically what you can do is you can

0:17:20.920 --> 0:17:24.240
<v Speaker 4>give notebook LM, which is a Google product. You can

0:17:24.280 --> 0:17:26.119
<v Speaker 4>give it sources. So I could just like go to

0:17:26.200 --> 0:17:28.960
<v Speaker 4>like five different websites and be like use these as sources.

0:17:29.040 --> 0:17:31.720
<v Speaker 4>Or I could upload a transcript, or I could upload

0:17:31.880 --> 0:17:36.000
<v Speaker 4>I actually had chatgybt do a deep research on myself

0:17:36.119 --> 0:17:39.400
<v Speaker 4>and my brand, fed it that and then it basically

0:17:39.560 --> 0:17:42.320
<v Speaker 4>was a podcast of two people talking about me. And

0:17:42.359 --> 0:17:45.480
<v Speaker 4>I was like, this is so like weird, meta, narcissistic,

0:17:45.600 --> 0:17:50.200
<v Speaker 4>but also like amazing, Like this is so crazy because

0:17:51.359 --> 0:17:55.080
<v Speaker 4>now they've introduced like the like live version, so like

0:17:55.160 --> 0:17:58.600
<v Speaker 4>basically they can be having their conversation and you can

0:17:58.640 --> 0:17:59.919
<v Speaker 4>be like I want to raise my hand and as

0:18:00.160 --> 0:18:02.960
<v Speaker 4>a question and they'll it'll respond to you.

0:18:03.119 --> 0:18:04.080
<v Speaker 2>It's oh my.

0:18:03.960 --> 0:18:06.480
<v Speaker 3>God, it's so crazy. It's so crazy.

0:18:06.640 --> 0:18:09.919
<v Speaker 4>There's so many, so many tools though too that you

0:18:09.920 --> 0:18:12.120
<v Speaker 4>can clone your voice, which is a little bit scary.

0:18:12.720 --> 0:18:15.800
<v Speaker 4>As just like a quick aside. I think everyone and

0:18:15.880 --> 0:18:18.520
<v Speaker 4>your family should have like a safe word now, so

0:18:18.520 --> 0:18:20.560
<v Speaker 4>that like if you're getting phone calls from someone and

0:18:20.600 --> 0:18:22.320
<v Speaker 4>it sounds a little bit weird and you're.

0:18:22.160 --> 0:18:23.320
<v Speaker 3>Like, is this really?

0:18:23.320 --> 0:18:25.520
<v Speaker 4>Then oh, you know, we have this because this is

0:18:25.520 --> 0:18:28.440
<v Speaker 4>what's happening is people are like scammed. And so if

0:18:28.480 --> 0:18:30.280
<v Speaker 4>you have a word that you can say, hey, what's

0:18:30.280 --> 0:18:32.560
<v Speaker 4>the safe word or whatever, and they don't know what

0:18:32.640 --> 0:18:35.760
<v Speaker 4>that word is, then like they're probably not that person, right,

0:18:35.840 --> 0:18:39.200
<v Speaker 4>So just something to think about as a weird world.

0:18:39.560 --> 0:18:44.720
<v Speaker 1>Yeah, thinking about recreating voices, how about recreating your own persona?

0:18:45.280 --> 0:18:47.960
<v Speaker 1>I tried out hey Jin, which is a generative AI

0:18:48.080 --> 0:18:51.840
<v Speaker 1>tool that lets you make avatars of yourself. Now I

0:18:51.960 --> 0:18:56.119
<v Speaker 1>wasn't sold, but I'm curious, Laura, what's your go to

0:18:56.359 --> 0:18:58.360
<v Speaker 1>for this sort of thing? Do you make a videos

0:18:58.359 --> 0:18:58.920
<v Speaker 1>of yourself?

0:18:59.359 --> 0:19:02.840
<v Speaker 4>So I've like messed around with it a little bit,

0:19:02.920 --> 0:19:05.680
<v Speaker 4>Like when it first came out, I made a real

0:19:05.840 --> 0:19:09.320
<v Speaker 4>that wasn't actually me. But I don't do it a

0:19:09.320 --> 0:19:11.600
<v Speaker 4>lot because here's my kind of thought on it.

0:19:12.560 --> 0:19:15.880
<v Speaker 3>In with all of the AI happening.

0:19:16.080 --> 0:19:21.120
<v Speaker 4>People are really looking for personality and want to connect

0:19:21.200 --> 0:19:24.800
<v Speaker 4>with people still, So if the concept that I'm creating

0:19:24.840 --> 0:19:28.360
<v Speaker 4>on my stories is a fake version of me, then

0:19:28.400 --> 0:19:31.080
<v Speaker 4>it's like, well, where do I actually come in there?

0:19:31.160 --> 0:19:32.080
<v Speaker 3>Right, And like, I get it.

0:19:32.119 --> 0:19:34.399
<v Speaker 4>There are plenty of people that want to have this,

0:19:34.600 --> 0:19:37.600
<v Speaker 4>and like I'm all about like creating a custom GBT

0:19:37.760 --> 0:19:39.840
<v Speaker 4>that's maybe trained on your knowledge and trained on your

0:19:39.880 --> 0:19:41.960
<v Speaker 4>IP that people can go and chat with and like

0:19:42.000 --> 0:19:45.160
<v Speaker 4>be able to like learn from. But I just don't

0:19:45.200 --> 0:19:48.360
<v Speaker 4>really see the value in terms of like using it

0:19:48.440 --> 0:19:51.119
<v Speaker 4>to create I mean, there's plenty of creators that are

0:19:51.480 --> 0:19:54.239
<v Speaker 4>doing it and their videos are going viral and like

0:19:54.359 --> 0:19:56.840
<v Speaker 4>it works for them, But for me, it just seems

0:19:56.880 --> 0:19:58.919
<v Speaker 4>like just as much work for me to like go

0:19:58.960 --> 0:20:00.880
<v Speaker 4>and type out what I want to say and then

0:20:00.920 --> 0:20:03.760
<v Speaker 4>go and generate it. Where I'm like, I don't really

0:20:03.800 --> 0:20:08.160
<v Speaker 4>have much of a.

0:20:06.320 --> 0:20:08.320
<v Speaker 3>Strategy when it comes to my social media.

0:20:08.440 --> 0:20:10.840
<v Speaker 4>When I have an idea, I will make the real

0:20:11.000 --> 0:20:13.320
<v Speaker 4>and I will post it right then, and like that's it.

0:20:13.520 --> 0:20:15.320
<v Speaker 3>So for me, I'm happy to just.

0:20:15.280 --> 0:20:18.560
<v Speaker 4>Pull up and start talking and post rather than going

0:20:18.600 --> 0:20:21.520
<v Speaker 4>and having a fake version of myself do that. But

0:20:22.160 --> 0:20:24.880
<v Speaker 4>I don't there are use cases for everything, right, So

0:20:25.400 --> 0:20:27.200
<v Speaker 4>maybe it's on your sales page and you want to

0:20:27.240 --> 0:20:30.480
<v Speaker 4>have like a little version of yourself down there answering questions,

0:20:30.520 --> 0:20:33.679
<v Speaker 4>so whatever. But I would think I think Hagen is

0:20:33.720 --> 0:20:40.040
<v Speaker 4>probably the leading version tool for that. I've used phish

0:20:40.200 --> 0:20:44.800
<v Speaker 4>dot ai for audio cloning just because I had heard

0:20:44.800 --> 0:20:47.439
<v Speaker 4>about it and it was different than eleven Labs. I know,

0:20:47.480 --> 0:20:49.600
<v Speaker 4>eleven Labs just came out with something. But this is

0:20:49.600 --> 0:20:53.440
<v Speaker 4>what's so wild is there are so many tools for everything,

0:20:53.560 --> 0:20:55.879
<v Speaker 4>and it's it's really hard to keep up, especially when

0:20:55.920 --> 0:20:57.359
<v Speaker 4>you have to pay for all of them to like

0:20:57.400 --> 0:20:58.240
<v Speaker 4>even test them.

0:20:58.320 --> 0:20:58.560
<v Speaker 3>Right.

0:20:58.680 --> 0:21:03.080
<v Speaker 4>So yeah, I'm kind I'm entering this like version of

0:21:03.119 --> 0:21:04.359
<v Speaker 4>myself that I'm.

0:21:04.200 --> 0:21:06.560
<v Speaker 3>Like, Okay, Lauren, you need to like just focus because

0:21:06.680 --> 0:21:09.400
<v Speaker 3>if I try and be the A on two to everything, right,

0:21:09.480 --> 0:21:10.640
<v Speaker 3>it's like I.

0:21:10.640 --> 0:21:13.160
<v Speaker 4>Truly like the last two months, I've kind of just

0:21:13.200 --> 0:21:16.159
<v Speaker 4>like taken a step back because it's so much and

0:21:16.240 --> 0:21:17.960
<v Speaker 4>especially with everything going on in the world, it's just

0:21:18.000 --> 0:21:19.760
<v Speaker 4>like to try and keep up with all of it,

0:21:20.400 --> 0:21:22.960
<v Speaker 4>and it's just too hard. So I'm like, I gotta

0:21:23.400 --> 0:21:26.120
<v Speaker 4>I gotta pick like one or two or three and

0:21:26.160 --> 0:21:29.400
<v Speaker 4>focus and like because I am, you know, a creative

0:21:29.400 --> 0:21:32.600
<v Speaker 4>director and a designer, and that's kind of my world.

0:21:32.720 --> 0:21:34.679
<v Speaker 4>I think that's where it's gonna kind of end up

0:21:34.760 --> 0:21:37.360
<v Speaker 4>living and landing. But it's just hard for me because

0:21:37.359 --> 0:21:38.960
<v Speaker 4>I have ADHD and I want to you know, I

0:21:39.320 --> 0:21:41.280
<v Speaker 4>want to help everyone because I see the value and

0:21:41.320 --> 0:21:44.080
<v Speaker 4>what it can do for everyone, and so I'm like, oh.

0:21:43.960 --> 0:21:46.320
<v Speaker 3>But what if, like what about these people, what about.

0:21:46.119 --> 0:21:48.440
<v Speaker 4>The marketers or what about these people? And it's like, yes,

0:21:48.960 --> 0:21:51.160
<v Speaker 4>it can help everyone, but I I gotta like figure

0:21:51.200 --> 0:21:52.879
<v Speaker 4>out how to like keep it on, keep it on

0:21:52.920 --> 0:21:54.680
<v Speaker 4>the tracks, otherwise I'm gonna end.

0:21:54.640 --> 0:21:57.439
<v Speaker 3>Up off the tracks because it's just so crazy.

0:21:57.520 --> 0:22:09.760
<v Speaker 5>Right now.

0:22:12.760 --> 0:22:14.800
<v Speaker 1>You're bringing up so many good points, which is making

0:22:14.840 --> 0:22:17.560
<v Speaker 1>my head like grow bigger and bigger with all these questions.

0:22:18.200 --> 0:22:21.240
<v Speaker 1>Like I mentioned before, it seems like now jobs are

0:22:21.240 --> 0:22:23.879
<v Speaker 1>expecting you to know how to use AI when you

0:22:23.920 --> 0:22:27.920
<v Speaker 1>start the job. So Morgan Debaum, she's the CEO of Blavity,

0:22:27.960 --> 0:22:31.240
<v Speaker 1>and she created her own GPT so that her assistance

0:22:31.640 --> 0:22:35.600
<v Speaker 1>can write emails. They can do a lot of things

0:22:35.640 --> 0:22:38.360
<v Speaker 1>for her because they just prompt her GPT, which has

0:22:38.720 --> 0:22:42.320
<v Speaker 1>basically her brain, and they can do things for her

0:22:42.760 --> 0:22:45.920
<v Speaker 1>and those are the types of skills that folks want

0:22:46.000 --> 0:22:49.320
<v Speaker 1>you to have. But the fear is is that people

0:22:49.320 --> 0:22:51.000
<v Speaker 1>are like, oh, I'm going to lose my job. There's

0:22:51.000 --> 0:22:52.479
<v Speaker 1>not going to be jobs. All the jobs are going

0:22:52.520 --> 0:22:55.639
<v Speaker 1>to be AI. Can you talk about the future and

0:22:55.680 --> 0:22:59.680
<v Speaker 1>what that might look like and like technology that you

0:22:59.680 --> 0:23:02.080
<v Speaker 1>feel like going to change the game and how people

0:23:02.160 --> 0:23:06.119
<v Speaker 1>can navigate these new AI waters for sure?

0:23:06.320 --> 0:23:09.760
<v Speaker 4>And actually, funny story, uh Morgan, I actually did branding

0:23:09.800 --> 0:23:10.680
<v Speaker 4>for her Maacha brand.

0:23:10.840 --> 0:23:14.639
<v Speaker 2>Oh my god, that's amazing.

0:23:14.760 --> 0:23:16.760
<v Speaker 4>A little bit of a full circle there, But no,

0:23:17.040 --> 0:23:20.720
<v Speaker 4>I think that you know, I get it. I understand

0:23:20.720 --> 0:23:23.199
<v Speaker 4>why people are nervous about it, and I understand that

0:23:23.240 --> 0:23:25.920
<v Speaker 4>there is this fear, but I also think that that's

0:23:26.000 --> 0:23:29.679
<v Speaker 4>kind of been what has happened forever. Right, So, like

0:23:30.200 --> 0:23:32.879
<v Speaker 4>you gave the calculator example, but if we look at

0:23:32.880 --> 0:23:33.680
<v Speaker 4>the example of.

0:23:33.600 --> 0:23:35.879
<v Speaker 3>Like in the creative space.

0:23:35.960 --> 0:23:39.080
<v Speaker 4>Okay, so we had people that were like painting portraits, right,

0:23:39.160 --> 0:23:41.280
<v Speaker 4>and then the camera came along and I was.

0:23:41.280 --> 0:23:43.680
<v Speaker 3>Like, well, we don't want to sit for a portrait

0:23:43.720 --> 0:23:47.400
<v Speaker 3>for eight hours. We want the goal of technology generally

0:23:47.480 --> 0:23:48.120
<v Speaker 3>is to get.

0:23:47.960 --> 0:23:51.000
<v Speaker 4>Things done faster whenever. Right, So Okay, now we've got

0:23:51.040 --> 0:23:52.960
<v Speaker 4>film photography. Yeah, you still got to sit there for

0:23:52.960 --> 0:23:54.920
<v Speaker 4>a while when it first came out because it takes

0:23:54.960 --> 0:23:56.000
<v Speaker 4>a while for that to work.

0:23:56.280 --> 0:23:57.280
<v Speaker 3>But then okay, now.

0:23:57.119 --> 0:23:59.479
<v Speaker 4>We're getting into like better cameras and it's quick clicking,

0:23:59.520 --> 0:24:01.640
<v Speaker 4>push and boom and we're done. But now we've got

0:24:01.680 --> 0:24:03.760
<v Speaker 4>digital cameras, right, So what happens to all of those

0:24:03.760 --> 0:24:06.080
<v Speaker 4>people that are working at like the film processing plans

0:24:06.480 --> 0:24:08.719
<v Speaker 4>or building cameras that are not digital?

0:24:08.800 --> 0:24:12.040
<v Speaker 3>Right, those are going to change. And now we've got photoshop.

0:24:12.080 --> 0:24:14.840
<v Speaker 4>But now we have a company like Adobe, right, So

0:24:14.920 --> 0:24:16.640
<v Speaker 4>like where did all those jobs come from?

0:24:16.680 --> 0:24:18.639
<v Speaker 3>So I truly.

0:24:18.320 --> 0:24:21.600
<v Speaker 4>Believe that it's all about like we have to evolve

0:24:21.640 --> 0:24:24.439
<v Speaker 4>and we Yet just because you had one job and

0:24:24.480 --> 0:24:27.159
<v Speaker 4>that's what you learn doesn't mean that that's just that's

0:24:27.760 --> 0:24:28.440
<v Speaker 4>that's life.

0:24:28.280 --> 0:24:29.960
<v Speaker 3>And that's what you get to do forever. And I

0:24:30.040 --> 0:24:30.960
<v Speaker 3>know that maybe.

0:24:30.720 --> 0:24:33.199
<v Speaker 4>Comes across a little bit like privileged. But at the

0:24:33.240 --> 0:24:35.600
<v Speaker 4>same time as if you want to stay ahead, it's

0:24:35.760 --> 0:24:37.679
<v Speaker 4>going to be on you to make sure that you

0:24:37.960 --> 0:24:41.480
<v Speaker 4>are evolving with the technology and changing with the technology

0:24:41.920 --> 0:24:45.400
<v Speaker 4>and shifting how what your role even is. Right now

0:24:45.440 --> 0:24:48.159
<v Speaker 4>you can offer you know, these other things that you

0:24:48.200 --> 0:24:50.400
<v Speaker 4>couldn't offer or now you can say, hey, I can

0:24:50.440 --> 0:24:53.320
<v Speaker 4>give you five different ideas in the same amount of time,

0:24:53.920 --> 0:24:56.520
<v Speaker 4>or I can not give you five ideas, but now

0:24:56.560 --> 0:24:59.320
<v Speaker 4>I can spend more time on your project because I'm

0:24:59.320 --> 0:25:01.199
<v Speaker 4>taking less time I'm on the upfront to come up

0:25:01.200 --> 0:25:01.840
<v Speaker 4>with the ideas.

0:25:01.920 --> 0:25:03.520
<v Speaker 3>Right, So it's all about.

0:25:03.280 --> 0:25:08.040
<v Speaker 4>Kind of shifting how you're bringing AI into your like

0:25:08.160 --> 0:25:12.240
<v Speaker 4>workflows and understanding Okay, because like for me, like I said,

0:25:12.280 --> 0:25:14.679
<v Speaker 4>I have ADHD, so a lot of it's there's a

0:25:14.680 --> 0:25:16.640
<v Speaker 4>lot of people out there that preach, Okay, I'm gonna

0:25:16.640 --> 0:25:18.240
<v Speaker 4>teach you how to use AI to save.

0:25:18.160 --> 0:25:20.240
<v Speaker 3>You, you know, twenty hours a week.

0:25:20.480 --> 0:25:22.400
<v Speaker 4>That is not what I pre I don't tell people

0:25:22.400 --> 0:25:25.240
<v Speaker 4>I'm gonna save them time because for me, just because

0:25:25.240 --> 0:25:28.120
<v Speaker 4>I'm using AI doesn't mean that I'm spending less time

0:25:28.160 --> 0:25:31.560
<v Speaker 4>on something. It just means that I'm spending different time

0:25:31.680 --> 0:25:35.720
<v Speaker 4>on different things, I would say, right, So it's more

0:25:35.720 --> 0:25:38.400
<v Speaker 4>about like I'm using it as like this creative lever,

0:25:38.520 --> 0:25:42.160
<v Speaker 4>whereas other people are using it as this like automation lever,

0:25:42.560 --> 0:25:44.560
<v Speaker 4>and some other people are using it as like a

0:25:44.600 --> 0:25:47.160
<v Speaker 4>time saving lever or all of the things combined.

0:25:47.200 --> 0:25:50.760
<v Speaker 3>But I do, I really do think that it's up

0:25:50.800 --> 0:25:51.920
<v Speaker 3>to everyone.

0:25:51.560 --> 0:25:54.760
<v Speaker 4>To make the determination of like, Okay, I know I

0:25:54.840 --> 0:25:56.879
<v Speaker 4>need to learn how to use AI. I know, like

0:25:56.920 --> 0:25:59.080
<v Speaker 4>and if if they don't want to learn to use AI,

0:25:59.200 --> 0:26:02.480
<v Speaker 4>then that's their decision. But I just I don't see

0:26:02.480 --> 0:26:06.359
<v Speaker 4>the value of ignoring something as large as what we

0:26:06.480 --> 0:26:09.680
<v Speaker 4>have here, Bigger than the Internet, was bigger than all

0:26:09.720 --> 0:26:11.600
<v Speaker 4>of these things that, Like, if you look at somebody

0:26:11.680 --> 0:26:13.040
<v Speaker 4>that said, oh, yeah, I don't you know, I don't

0:26:13.080 --> 0:26:15.479
<v Speaker 4>need a website for my business, and you'd be like, we, well,

0:26:15.960 --> 0:26:18.480
<v Speaker 4>good luck out there, right, And it's like, what do

0:26:18.560 --> 0:26:22.120
<v Speaker 4>you think is gonna happen when all of your competitors

0:26:22.200 --> 0:26:28.600
<v Speaker 4>are adopting AI and can offer your potential clients stuff faster, stuff, cheaper,

0:26:28.640 --> 0:26:32.120
<v Speaker 4>whatever it is because they are using this tools yeah,

0:26:32.240 --> 0:26:33.080
<v Speaker 4>or better.

0:26:32.920 --> 0:26:35.600
<v Speaker 3>Yes, because we have a better idea exactly.

0:26:36.080 --> 0:26:38.440
<v Speaker 4>And if I can go and say, oh, yeah, sure,

0:26:38.440 --> 0:26:40.480
<v Speaker 4>I'm going to run an entire deep dive on your brand,

0:26:40.480 --> 0:26:42.359
<v Speaker 4>I'm gonna be able to tell you exactly.

0:26:42.040 --> 0:26:43.000
<v Speaker 3>Who your audience is.

0:26:43.280 --> 0:26:44.920
<v Speaker 4>If you don't know who your audience is, We're gonna

0:26:44.920 --> 0:26:47.760
<v Speaker 4>figure out who your audience is based on all of this. Like,

0:26:48.000 --> 0:26:51.760
<v Speaker 4>there's just so much more value when you're using it

0:26:51.800 --> 0:26:56.000
<v Speaker 4>properly that you can provide to customers and clients that like,

0:26:56.840 --> 0:26:59.720
<v Speaker 4>you know, I do I It's it makes me nervous

0:26:59.720 --> 0:27:02.840
<v Speaker 4>for peop that don't want to even at least try

0:27:02.960 --> 0:27:06.720
<v Speaker 4>because they think it is cheating, or they think it's stealing,

0:27:06.840 --> 0:27:08.840
<v Speaker 4>or they think it's whatever they think it is. But

0:27:09.359 --> 0:27:12.720
<v Speaker 4>it's almost like somebody, you know, giving a restaurant like

0:27:12.760 --> 0:27:14.240
<v Speaker 4>a one star review and they've never.

0:27:14.119 --> 0:27:14.879
<v Speaker 3>Even been inside.

0:27:14.920 --> 0:27:18.520
<v Speaker 4>It's like, how can you make that determination when you

0:27:18.640 --> 0:27:20.639
<v Speaker 4>really like, maybe you played with it twice and you

0:27:20.640 --> 0:27:22.280
<v Speaker 4>didn't know what you were doing and so it gave

0:27:22.280 --> 0:27:24.280
<v Speaker 4>you a bad answer, and now you've written it off

0:27:24.320 --> 0:27:27.560
<v Speaker 4>and it's like, all right, well okay, I don't know.

0:27:27.720 --> 0:27:31.439
<v Speaker 4>I just I'm so I feel so strongly that it

0:27:31.560 --> 0:27:37.160
<v Speaker 4>is going to change the course of everything that if

0:27:37.200 --> 0:27:40.840
<v Speaker 4>you don't understand it, you are not in a driver's

0:27:40.880 --> 0:27:44.200
<v Speaker 4>seat position anymore. You are following everyone else and you're

0:27:44.240 --> 0:27:47.800
<v Speaker 4>hoping that you can understand what's going on. But so

0:27:47.840 --> 0:27:50.320
<v Speaker 4>it's like, just start learning now so that it can

0:27:50.400 --> 0:27:52.400
<v Speaker 4>get easier, rather than you jump in and you're like.

0:27:52.359 --> 0:27:54.040
<v Speaker 3>What is all this? You know?

0:27:54.359 --> 0:27:57.480
<v Speaker 1>Yeah, I think that's so great. Recently, TC I don't

0:27:57.480 --> 0:27:59.040
<v Speaker 1>know if you know this. My mom has been taking

0:27:59.040 --> 0:28:03.480
<v Speaker 1>an AI class. Okay, they have them for seniors. Because

0:28:03.480 --> 0:28:04.680
<v Speaker 1>I was telling her, I was like, oh this, I'll

0:28:04.800 --> 0:28:07.359
<v Speaker 1>use chat GPT And I think it's so important to

0:28:07.440 --> 0:28:09.960
<v Speaker 1>keep your brain active and to be thinking about what's

0:28:10.040 --> 0:28:12.840
<v Speaker 1>new and understand technology. And it also helps you see

0:28:13.160 --> 0:28:15.439
<v Speaker 1>when you see scamming and phishing attempts, how are they

0:28:15.520 --> 0:28:18.040
<v Speaker 1>using these things to trick me? Right? So I think

0:28:18.240 --> 0:28:22.160
<v Speaker 1>you know, these tools I don't think are inherently nefarious.

0:28:22.200 --> 0:28:24.120
<v Speaker 1>I think it is just like any other tool how

0:28:24.160 --> 0:28:27.119
<v Speaker 1>someone is using it. A kitchen knife can be great

0:28:27.200 --> 0:28:29.480
<v Speaker 1>for chopping onions, or it can be used to commit

0:28:29.520 --> 0:28:34.520
<v Speaker 1>a crime. So I think it's just like, yes, exactly exactly.

0:28:33.920 --> 0:28:36.200
<v Speaker 3>That bad people are going to do bad things. It's

0:28:36.240 --> 0:28:38.240
<v Speaker 3>about like you know what I mean. And it's like the.

0:28:38.160 --> 0:28:42.040
<v Speaker 4>Technology and the tool itself, that is, it's own without

0:28:42.520 --> 0:28:44.680
<v Speaker 4>anyone driving it, it's nothing, it's just sitting there.

0:28:44.840 --> 0:28:46.800
<v Speaker 1>So but you have to know what's possible. So I

0:28:46.800 --> 0:28:48.920
<v Speaker 1>showed her Hegen so she could understand. I said, this

0:28:48.960 --> 0:28:50.960
<v Speaker 1>is making a video of me and if you saw it,

0:28:51.080 --> 0:28:52.640
<v Speaker 1>And I gave her multiple things like what do you

0:28:52.680 --> 0:28:54.120
<v Speaker 1>think is a real video of me versus what do

0:28:54.160 --> 0:28:56.480
<v Speaker 1>you think is generated right to just so she could

0:28:56.480 --> 0:28:59.320
<v Speaker 1>see the limits of like how far it could go

0:28:59.360 --> 0:29:01.080
<v Speaker 1>and how much could look like me. And I think

0:29:01.080 --> 0:29:03.320
<v Speaker 1>that makes a better case for what Lauren just explained

0:29:03.320 --> 0:29:05.720
<v Speaker 1>earlier about having a password, so even if it's not

0:29:05.800 --> 0:29:08.120
<v Speaker 1>something you're gonna adopt, so you can get out the

0:29:08.120 --> 0:29:08.880
<v Speaker 1>way when it's coming.

0:29:09.120 --> 0:29:10.640
<v Speaker 2>And that's the same way I feel about AI.

0:29:10.680 --> 0:29:12.120
<v Speaker 1>If you won't get in the driver's seat, if you

0:29:12.120 --> 0:29:13.920
<v Speaker 1>won't get in the passenger seat, you do need to

0:29:14.000 --> 0:29:16.280
<v Speaker 1>know how fast it goes so you can get out

0:29:16.280 --> 0:29:17.600
<v Speaker 1>the way or see it coming.

0:29:18.040 --> 0:29:19.800
<v Speaker 3>And put your seatbelts on, buckle up.

0:29:21.320 --> 0:29:29.760
<v Speaker 1>Yeah, Lauren TT shared a AI a generated creator and

0:29:30.720 --> 0:29:33.400
<v Speaker 1>they had on like a bonnet. It was a black girl.

0:29:33.480 --> 0:29:36.800
<v Speaker 1>She was talking, she was using black vernacular. Was I

0:29:36.920 --> 0:29:40.680
<v Speaker 1>was like, oh, it was given homegirl, but not connected

0:29:40.720 --> 0:29:44.400
<v Speaker 1>to anything. And you know, I worry about like the

0:29:44.480 --> 0:29:49.680
<v Speaker 1>adoption of different group aesthetics and kind of digital blackface

0:29:49.760 --> 0:29:52.920
<v Speaker 1>in this space and what it means for groups that

0:29:53.040 --> 0:29:55.960
<v Speaker 1>may not kind of know that this is happening. And

0:29:56.000 --> 0:29:59.760
<v Speaker 1>I'm curious, like, have you seen these kind of personas.

0:29:59.800 --> 0:30:05.440
<v Speaker 1>I guess they're not people, and then like as a designer,

0:30:05.520 --> 0:30:07.960
<v Speaker 1>a brand designer, and a person that's teaching other folks

0:30:08.040 --> 0:30:10.400
<v Speaker 1>how to do this type of work, Like, what responsibility

0:30:10.400 --> 0:30:13.000
<v Speaker 1>do you feel like we have when we consider the

0:30:13.040 --> 0:30:17.880
<v Speaker 1>ability of tools to replicate races and cultures and identity

0:30:18.440 --> 0:30:22.040
<v Speaker 1>for whether it's financial gain or just for the aesthetic value.

0:30:22.320 --> 0:30:23.160
<v Speaker 1>Where do you land on that?

0:30:23.320 --> 0:30:23.680
<v Speaker 3>For sure?

0:30:24.320 --> 0:30:27.680
<v Speaker 4>So I will say I'm not really on TikTok because

0:30:27.720 --> 0:30:30.520
<v Speaker 4>I've told myself if I got on TikTok, I would

0:30:30.520 --> 0:30:31.240
<v Speaker 4>never come out of it.

0:30:31.400 --> 0:30:33.360
<v Speaker 3>But I know what I've seen what you're talking about.

0:30:33.520 --> 0:30:35.120
<v Speaker 4>But I don't think there's quite as much like on

0:30:35.200 --> 0:30:39.120
<v Speaker 4>Instagram yet Again, it's all about like the user's responsibility,

0:30:39.160 --> 0:30:41.000
<v Speaker 4>and I think a lot of the people that are

0:30:41.040 --> 0:30:45.240
<v Speaker 4>doing stuff like that are not the most responsible people, right,

0:30:45.320 --> 0:30:47.160
<v Speaker 4>And I think they're just like, oh yeah, sure, and

0:30:47.240 --> 0:30:48.800
<v Speaker 4>I'm gonna throw this up there and like I don't

0:30:48.800 --> 0:30:51.160
<v Speaker 4>care if it's true, I don't care if it's biased.

0:30:51.200 --> 0:30:53.280
<v Speaker 4>I don't care if any of this stuff because they

0:30:53.640 --> 0:30:55.360
<v Speaker 4>they're generally trying to just.

0:30:55.280 --> 0:30:56.560
<v Speaker 3>Like make money and don't pair.

0:30:56.800 --> 0:30:59.800
<v Speaker 4>Especially they can kind of hide behind this like fake

0:31:00.040 --> 0:31:02.840
<v Speaker 4>person now, So there isn't as much accountability as well.

0:31:03.280 --> 0:31:06.600
<v Speaker 4>The other piece of it is like generating like images

0:31:07.000 --> 0:31:09.520
<v Speaker 4>in general, whether it's like a clone of a fake

0:31:09.600 --> 0:31:11.880
<v Speaker 4>person or like just an image, you know. Like I

0:31:11.920 --> 0:31:15.280
<v Speaker 4>worked at ALTA. I would never say like, yeah, let's

0:31:15.360 --> 0:31:19.960
<v Speaker 4>use AI people for our photography, right, I would say, hey,

0:31:20.440 --> 0:31:23.120
<v Speaker 4>let's use AI to help us like cast who do

0:31:23.160 --> 0:31:24.960
<v Speaker 4>we want to cast as models?

0:31:25.040 --> 0:31:25.200
<v Speaker 1>Right?

0:31:25.360 --> 0:31:27.320
<v Speaker 4>Or what is the shots that we want to get

0:31:27.400 --> 0:31:29.280
<v Speaker 4>or what should the makeup look like? But then of

0:31:29.320 --> 0:31:31.680
<v Speaker 4>course we're going to go and hire a real person

0:31:32.000 --> 0:31:34.840
<v Speaker 4>and have that shoot because I just like, again we

0:31:34.920 --> 0:31:37.480
<v Speaker 4>come back to the thing of like people being real

0:31:37.720 --> 0:31:40.680
<v Speaker 4>and authentic, and we have to make sure that like

0:31:40.920 --> 0:31:44.800
<v Speaker 4>we're not misrepresenting and to be fair, so much of

0:31:44.840 --> 0:31:48.920
<v Speaker 4>the data in large language models is biased because everything

0:31:48.920 --> 0:31:51.160
<v Speaker 4>on the Internet is biased, and it's the way that

0:31:51.320 --> 0:31:54.000
<v Speaker 4>we have this information that it's like learning from.

0:31:54.080 --> 0:31:55.760
<v Speaker 3>Right, Jem and I got in trouble.

0:31:55.760 --> 0:31:57.640
<v Speaker 4>They had to shut down their video or their image

0:31:57.640 --> 0:32:02.440
<v Speaker 4>model for a while because it was misrepresent like historical thing.

0:32:02.600 --> 0:32:02.760
<v Speaker 2>You know.

0:32:02.800 --> 0:32:04.600
<v Speaker 4>They would ask for, oh, can we see like this,

0:32:04.720 --> 0:32:06.520
<v Speaker 4>and it was like no, no, that's not what that

0:32:06.560 --> 0:32:08.719
<v Speaker 4>should be. And so they should because I knew it

0:32:08.760 --> 0:32:12.000
<v Speaker 4>wasn't doing it properly. But there's just so much still

0:32:12.040 --> 0:32:15.920
<v Speaker 4>that is like can happen that it's not right and

0:32:15.960 --> 0:32:20.719
<v Speaker 4>it's not appropriate that's going on, Like we're seeing deep fakes,

0:32:21.040 --> 0:32:23.760
<v Speaker 4>like all sorts of stuff. And I think again it

0:32:23.800 --> 0:32:27.200
<v Speaker 4>comes back to like it's about the person using it,

0:32:27.400 --> 0:32:30.320
<v Speaker 4>having the morals and the values of what it is

0:32:30.320 --> 0:32:33.440
<v Speaker 4>that they're creating. But I do think like when we

0:32:33.520 --> 0:32:37.720
<v Speaker 4>talk about, you know, creating people of all different colors

0:32:37.720 --> 0:32:40.960
<v Speaker 4>and races and nationalities and sizes and skin tones and

0:32:41.000 --> 0:32:43.680
<v Speaker 4>hair types and body types, like there's so much and

0:32:43.720 --> 0:32:45.840
<v Speaker 4>I think, you know, as somebody that did work at

0:32:45.880 --> 0:32:48.680
<v Speaker 4>all to where we were trying to cast diverse models,

0:32:49.240 --> 0:32:51.800
<v Speaker 4>you know, or you know, we go and try and

0:32:51.840 --> 0:32:54.360
<v Speaker 4>find stock photography and it's like, okay, well, when you're

0:32:54.400 --> 0:32:56.400
<v Speaker 4>looking for stock for photography, you do have to get

0:32:56.400 --> 0:32:59.000
<v Speaker 4>specific about like okay, yeah, I'm looking for like a

0:32:59.040 --> 0:33:02.160
<v Speaker 4>plus sized black or I'm looking for like a smaller

0:33:02.200 --> 0:33:04.240
<v Speaker 4>Asian WM or whatever it is. You do have to

0:33:04.240 --> 0:33:06.680
<v Speaker 4>be specific. And so I do think people look at

0:33:06.720 --> 0:33:08.240
<v Speaker 4>it and it's like, oh, well, now you're having to

0:33:08.320 --> 0:33:10.040
<v Speaker 4>like say what you want, and it's like, well, you

0:33:10.080 --> 0:33:12.440
<v Speaker 4>still would have needed to do that when you're casting

0:33:12.440 --> 0:33:13.120
<v Speaker 4>a model.

0:33:12.920 --> 0:33:13.920
<v Speaker 3>Or you're casting anyway.

0:33:13.960 --> 0:33:16.280
<v Speaker 4>So yeah, but it's a matter of like, okay, now

0:33:16.280 --> 0:33:20.080
<v Speaker 4>when we see this image, is this realistic to what

0:33:20.560 --> 0:33:25.240
<v Speaker 4>that person would actually look like based on real real shit,

0:33:25.400 --> 0:33:27.400
<v Speaker 4>you know what I mean, rather than like what you

0:33:27.560 --> 0:33:31.160
<v Speaker 4>think what AI thinks it is, because AI imagery is

0:33:31.240 --> 0:33:34.160
<v Speaker 4>the way that it's created through, like diffusion models is all.

0:33:34.560 --> 0:33:35.680
<v Speaker 3>I mean, that's a whole other thing.

0:33:35.800 --> 0:33:38.160
<v Speaker 4>But I think that's the piece too that you have

0:33:38.200 --> 0:33:41.080
<v Speaker 4>to be able to like have again that domain experience

0:33:41.080 --> 0:33:42.640
<v Speaker 4>of like somebody to look at that and be like,

0:33:42.640 --> 0:33:45.360
<v Speaker 4>we're not using that. That doesn't look appropriate, that doesn't

0:33:45.360 --> 0:33:47.680
<v Speaker 4>look like someone from Jamaica, or that doesn't look like

0:33:47.720 --> 0:33:52.080
<v Speaker 4>someone from wherever, right, and we're able to look at

0:33:52.080 --> 0:33:55.840
<v Speaker 4>it and make those determinations for ourselves.

0:33:56.200 --> 0:33:57.880
<v Speaker 3>And I think the other piece of that too is

0:33:58.760 --> 0:34:01.120
<v Speaker 3>when we a lot of people talk about okay, you know,

0:34:01.160 --> 0:34:05.240
<v Speaker 3>when we're putting information in and we're giving information to

0:34:05.320 --> 0:34:07.320
<v Speaker 3>chat gybt like it's learning from us.

0:34:07.800 --> 0:34:10.200
<v Speaker 4>And I do think that like it is a little

0:34:10.200 --> 0:34:13.399
<v Speaker 4>bit of our responsibility to put stuff in there now too,

0:34:13.520 --> 0:34:15.880
<v Speaker 4>that's new to kind of negate a lot of the

0:34:15.920 --> 0:34:18.960
<v Speaker 4>bias information that it has, because if we don't, then

0:34:19.000 --> 0:34:21.680
<v Speaker 4>like how is it gonna ever be able to kind

0:34:21.680 --> 0:34:22.400
<v Speaker 4>of change?

0:34:22.400 --> 0:34:24.799
<v Speaker 3>And I saw something today that was like Elon.

0:34:24.600 --> 0:34:26.440
<v Speaker 4>Musk is going to try and use Grock to like

0:34:26.560 --> 0:34:29.840
<v Speaker 4>rewrite history because he thinks that all of the data

0:34:29.880 --> 0:34:31.920
<v Speaker 4>that we have is like bullshit or something.

0:34:32.200 --> 0:34:34.759
<v Speaker 3>And I'm like, oh, good, good, good good.

0:34:34.960 --> 0:34:37.520
<v Speaker 4>That's who we want to rewriting history.

0:34:37.640 --> 0:34:40.600
<v Speaker 3>So yeah, I don't. I mean, it's all it is

0:34:40.680 --> 0:34:41.480
<v Speaker 3>all very like.

0:34:42.920 --> 0:34:43.400
<v Speaker 5>Scary.

0:34:43.600 --> 0:34:46.680
<v Speaker 4>And that's the thing, right, is like awareness and understanding,

0:34:46.719 --> 0:34:49.560
<v Speaker 4>and like that's what needs to happen is people need

0:34:49.600 --> 0:34:53.239
<v Speaker 4>to understand how these tools work, what's wrong about them,

0:34:53.280 --> 0:34:56.239
<v Speaker 4>what's right about them. Sam Altman, the CEO of Opening Eye,

0:34:56.560 --> 0:34:58.040
<v Speaker 4>just came out and was like, why are you guys

0:34:58.040 --> 0:34:58.799
<v Speaker 4>trusting these things?

0:34:58.840 --> 0:35:00.719
<v Speaker 3>You shouldn't be trusting. This is the one thing you

0:35:00.760 --> 0:35:04.120
<v Speaker 3>shouldn't be trusting. And people are like, what why are

0:35:04.120 --> 0:35:06.440
<v Speaker 3>you saying that. It's like, because he's right, we shouldn't

0:35:06.480 --> 0:35:09.600
<v Speaker 3>just be blindly trusting AI models. That is not what

0:35:09.600 --> 0:35:10.360
<v Speaker 3>should be happening.

0:35:10.480 --> 0:35:14.800
<v Speaker 4>So I think, just generally, I think the main message

0:35:14.840 --> 0:35:17.560
<v Speaker 4>here is like learn what these things can do, learn

0:35:17.840 --> 0:35:19.000
<v Speaker 4>the good they can do.

0:35:19.160 --> 0:35:20.160
<v Speaker 3>Learn the bad they can.

0:35:20.120 --> 0:35:22.759
<v Speaker 4>Do, and really just have a good understanding of what

0:35:22.880 --> 0:35:25.120
<v Speaker 4>it's capable of so that we can understand just like

0:35:25.160 --> 0:35:26.640
<v Speaker 4>your mom, like is that fake?

0:35:26.760 --> 0:35:27.320
<v Speaker 3>Is that real?

0:35:27.440 --> 0:35:28.040
<v Speaker 1>Like? What? Like?

0:35:28.320 --> 0:35:31.600
<v Speaker 4>Awareness is so important right now, just across the board

0:35:31.640 --> 0:35:34.080
<v Speaker 4>to understand, like what's.

0:35:33.800 --> 0:35:34.560
<v Speaker 3>Real and what's not.

0:35:35.120 --> 0:35:36.120
<v Speaker 2>I love this.

0:35:36.120 --> 0:35:38.239
<v Speaker 1>This is the information that people want to hear. I mean,

0:35:38.280 --> 0:35:41.480
<v Speaker 1>you talked about all of the good things with AI

0:35:41.560 --> 0:35:44.080
<v Speaker 1>and then some of the potentially really scary things with AI,

0:35:44.520 --> 0:35:46.799
<v Speaker 1>and like you were saying, it's good to just know,

0:35:47.440 --> 0:35:49.239
<v Speaker 1>Like you might say, oh, I don't really want to

0:35:49.280 --> 0:35:52.080
<v Speaker 1>engage even though people are engaging with AI and they're

0:35:52.080 --> 0:35:55.680
<v Speaker 1>not really realizing it. Understanding and having awareness of what

0:35:55.880 --> 0:35:59.160
<v Speaker 1>is going on, where we're moving to as a world,

0:35:59.600 --> 0:36:01.879
<v Speaker 1>Like what is going to be possible in the next

0:36:01.920 --> 0:36:02.560
<v Speaker 1>six months?

0:36:03.000 --> 0:36:04.200
<v Speaker 2>Is it's wild?

0:36:04.280 --> 0:36:07.160
<v Speaker 1>It's wild, and regulations are trying to keep up and

0:36:07.600 --> 0:36:09.839
<v Speaker 1>it's just a wild landscape, right.

0:36:10.320 --> 0:36:14.160
<v Speaker 2>And I'm excited to try all of these tools. Oh, somebody,

0:36:14.200 --> 0:36:15.879
<v Speaker 2>I have them drop those things.

0:36:15.880 --> 0:36:18.440
<v Speaker 1>I'm gonna drop these in the episode description and you

0:36:18.480 --> 0:36:20.480
<v Speaker 1>can see all of these things because I think that's

0:36:20.480 --> 0:36:22.200
<v Speaker 1>gonna be important for sure.

0:36:22.640 --> 0:36:25.279
<v Speaker 2>Thank you so much, Lauren. You are amazing.

0:36:25.600 --> 0:36:29.160
<v Speaker 1>I am so excited to Zakia introduce me to you,

0:36:29.280 --> 0:36:32.560
<v Speaker 1>and so I'm excited to continue following. I'm gonna be

0:36:32.600 --> 0:36:34.880
<v Speaker 1>diving even more into AI because I was like, I

0:36:34.880 --> 0:36:36.560
<v Speaker 1>feel like I'm an AI expert.

0:36:36.320 --> 0:36:38.759
<v Speaker 2>After listening to you, I'm not. There's still so.

0:36:38.840 --> 0:36:40.919
<v Speaker 1>Much I could be doing, and it it just got

0:36:40.920 --> 0:36:42.719
<v Speaker 1>everything fire my mind. I was like, oh, I could

0:36:42.719 --> 0:36:44.360
<v Speaker 1>be more productive in this way and that way and

0:36:44.360 --> 0:36:45.120
<v Speaker 1>this way and that way.

0:36:46.080 --> 0:36:46.839
<v Speaker 2>Let's get to it.

0:36:54.640 --> 0:36:57.520
<v Speaker 1>You can find us on X and Instagram at Dope

0:36:57.600 --> 0:37:00.680
<v Speaker 1>Labs podcast, tt is on X and it Instagram, at

0:37:00.760 --> 0:37:04.080
<v Speaker 1>d R Underscore, t Sahoe, and you can find Takiya

0:37:04.360 --> 0:37:07.239
<v Speaker 1>at z said So. Dope Labs is a production of

0:37:07.320 --> 0:37:12.080
<v Speaker 1>Lamanada Media. Our senior supervising producer is Kristin Lapour and

0:37:12.239 --> 0:37:16.960
<v Speaker 1>our associate producer is Isara Savez. Dope Labs is sound

0:37:17.040 --> 0:37:21.600
<v Speaker 1>design edited and mixed by James Farber. Lamanada Media's Vice

0:37:21.600 --> 0:37:26.120
<v Speaker 1>President of Partnerships and Production is Jackie Danziger. Executive producer

0:37:26.120 --> 0:37:30.400
<v Speaker 1>from iHeart Podcast is Katrina Norvil. Marketing lead is Alison Kanter.

0:37:31.160 --> 0:37:35.400
<v Speaker 1>Original music composed and produced by Taka Yasuzawa and Alex

0:37:35.440 --> 0:37:40.440
<v Speaker 1>sudi Ura with additional music by Elijah Harvey. Dope Labs

0:37:40.560 --> 0:37:43.960
<v Speaker 1>is executive produced by us T T Show Dia and

0:37:44.040 --> 0:37:44.840
<v Speaker 1>Takia Wattley.