WEBVTT

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Oh, artificial intelligence. It is here to stay. And in this conversation, we're

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talking about how to use it thoughtfully and mindfully as a

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human being interacting with the robots of the Internet. And

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today's guest is Avery Schwartz to bring this conversation home. I'm excited

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about it. Let's dive in.

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You're listening to the Mindful Marketing Podcast. I'm Andrea

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Jones.

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I've recorded over 300 podcast episodes. Yeah. It's a

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lot of podcast episodes, and I've tried a lot of different virtual recording

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studios. But my favorite has been Riverside.

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Riverside makes their virtual recording studio look so profesh.

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My guests love it. Plus, I also low key love

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recording YouTube videos in here as well because it's so easy to use.

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My team also loves Riverside because it spits out separate audio, video

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tracks, making editing easy breezy, lemon squeezy.

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And if you want a little magic, they've got this tool called MagicClips,

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which uses AI to take your video and turn it into

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perfect social media sized videos. I'm talking vertical videos for TikTok

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and Instagram, Facebook Reels, all the places you can post these videos with

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the captions included, and you don't have to hunt and search for

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that perfect clip. So if you wanna try this out for yourself,

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click the link that goes with this video. Or if you're listening to the audio

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on the podcast, it's in the show notes. Okay? Click that link.

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Use the 15% off coupon code. It's Drea, d r

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e a, and try Riverside for yourself. Thank you,

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Riverside. Avery, welcome to the

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show. Oh, thank you so much for having me. I'm really excited to be here.

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Yeah. I'm excited to talk all things AI, but I wanna go back to the

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beginning for a sec, and talk about you because you

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have a really strong history in just bringing

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things digital. You've got a best selling book to talk about all things digital and

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small business. You, are the tech correspondent for

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CTV and all things business. But how did this start? Like,

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what's the origin story? Okay. Well, I I am a

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person of a particular age. Like, I'm an eighties kid. So that means

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that when I was growing up, like, I could not have said to my parents,

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mom and dad, when I grow up, I wanna be a web developer. They would

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have said, that is not a thing. So I took a

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really winding route to get to where I am now. I my first stop was

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actually in fine arts school. I have a a fine arts degree. I

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have a and then I went to design school after that, so I made my

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way into the web through originally through

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the root of of web design. So I was a web designer. I had a

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web design studio, and then I realized that as as much as I love

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designing, my favorite part was actually just working with clients, was

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talking with them, figuring out, what do they need. I had a

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really deep empathy and still do have really deep empathy for

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how, you know, there there's this narrative out there that tech is supposed

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to be easy, that tech is supposed to make things easier for people. And I

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think in general, overall, it does, but

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that doesn't recognize that there is a bit of a struggle, that there's a there's

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an adoption cycle. There is a bumpy road.

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And my favorite part of of working with my clients was always just kind of

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helping them get set up. And then I realized, wait a minute. Like, this is

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something I could do. So that's when I I pivoted to being a tech educator.

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I own a tech education company where we run practical workshops

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for small businesses, charities, and nice people. Like you said, I wrote a

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book. I go on TV, but it but it's all it's all in service of

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this mission of trying to help nontechnical people

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bring technology into their lives, in a way that is

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thoughtful, in a way that can help them reach their goals. And

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my role is just to be an educator and an interpreter. Yeah.

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Ugh. I love everything you do. I

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was I feel like one of the first people to buy See You on the

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Internet, the book, because I'm just a fan. And I was like, I

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want this. Plus, it's, like, gorgeous, and it makes sense with your

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design background how pretty everything looks too. So I love that. I did I

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did work with the publisher, and my publisher they they sent a a first

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draft of the cover of the book, and it was really like, you know those,

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like, tech books where it's it's got all these weird, like,

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like like, lines and lots of, you know, like like, things looking like

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they're flying around, and it's very technical. And I was like, this is

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awful. I'm like, no offense, but this is this is not my vibe at all.

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I was like, we want it to feel friendly. We want to feel approachable as

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like, can we put an emoji on the cover? Can we have more

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color? Like, let's use a fun font, like, strip out all of

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this, like and and it's always blue. Right? It's like dark navy blue and,

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like,

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Yeah Yeah. Why the

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blue? It's always blue. You're right. It's always blue. Yeah.

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Oh, my gosh. I love that. Okay. So switching gears over to AI.

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I think that, AI, specifically generative

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AI, has shaken us up a lot. Yeah. It has. Yeah.

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It really has. And I feel like listeners of

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this podcast, we've been talking about the, you know, chat

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GPTs of the world for a while. So I wanna just dive right

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into the conversation with AI and, like, why does it feel like

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sometimes AI is making stuff up? It's like, did you

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even check the Internet on this? Don't you have access to this information?

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Why did that happen? Okay. So to understand

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why generative AI systems like Chat GPT, why they sometimes make things up,

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the technical word for it is a hallucination, which I think is hilarious.

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It sounds like Chatcheapiti just, like, went on, like, an acid

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trip, that it's that it's over in the corner. It's on drugs. It's

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hallucinating. But it goes back to to really

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understanding what is a a

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transformer style generative AI model. And I know I just used a whole bunch of

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jargon, but tools like chat GPT are different from

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other types of AI. They're different from even other types of machine learning

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AI, which has been around us for a a number of years now. But the

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way that a tool like ChatGPT works, you've probably heard that it taps

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into something called a large language model. And a large

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language model is kind of like its knowledge base. It's all of

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the information that ChatGPT and other generative AI

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systems, have access to. But the thing about a large language model

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is that, you know, we've heard that they have basically read every page of the

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Internet. It's read all of the publicly available books. It has, you know,

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scraped information. It's pulled in all kinds of data to get into that large

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language model. But the large language model is

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not a search engine. It doesn't behave the way something like Google

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does. So the way that Google behaves is that it goes through the

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entire Internet with its robots and indexes the

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Internet and looks at and it indexes and looks at every single

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word and also the connection between web pages, you know,

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what's linked to other sites. The way that a large

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language model works is that it's looking through all of that original

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information, but it's not really looking so much at the words

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themselves. It's looking at the connection between the

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words. So how often certain words

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tend to go together. There are, there are patterns in our

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language. There are words that are more, like, based on

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on probability that are more likely to appear together.

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And so when you interact with a chatbot like chat GPT,

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it taps into its large language model, which in this case is called GPT.

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And what it's doing is it's it it doesn't

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actually know any of the words. It doesn't know what any of the words mean.

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It only knows the relationship between the words. So

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it's using its understanding of probability, and it's

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using its prediction skills to try

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and give you the next word in the sentence, the next sentence in

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the paragraph, etcetera, that it thinks is probabilistically

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most likely to be what you're looking for. So some

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people say that Chat GPT is autocomplete on steroids,

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and it kind of is. Like, it it it is literally just kind of trying

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to autocomplete itself. And so in that way, it is

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not it it it it's not self conscious. It's not aware

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of the information that it's giving you. So if you ask it for something,

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like like, if you're asking it to help you write a caption for a social

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media post, that is a situation where there isn't

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one right answer. There isn't one factual true

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answer. There's a lot of different, ways that you could go with that

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caption. Some of them might not be the best quality. You might not like them.

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They might not be on brand, but it it it's not looking for a particular

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fact. It's when you ask ChatChiBT or another tool like

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it to go deep on a particular like like

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a vertical, like a particular depth of its knowledge, where

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it tries to get into facts, that is where it's more likely to

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hallucinate because it it doesn't have although here's the

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big caveat. It will happen less and

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less as the large language models get more and more sophisticated.

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Okay. And it will happen less and less as

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generative AI models have something called retrieval

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augmented generation, which means they can augment what they generate. So they can change what

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they generate by retrieving information from somewhere

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else. So, for example, if you've used, a tool like Perplexity,

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which I really, really like, Perplexity is using a large

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language model, but then it's also searching the live web and

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pulling information in that way and kind of smashing those two things

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together to give you more accurate answers. And it also gives

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you citations. It'll say, we found this on this website, and then you have a

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link, and then you can click and you can go and find more. So,

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like, once you understand that that's actually how the large language models

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work, like, they're not Google, they're not a search engine, then

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you were like, oh, okay. So it's actually the thing that makes

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it really good is also the thing that makes it

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sometimes tell lies. Yeah. Which is so weird. Right?

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Yeah. So weird. You know, I, I

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actually I use Chat gbt quite a bit, especially for coming up with

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ideas. And I have to literally tell it

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words not to use because it just latches on to certain words,

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like unlock or unleash or,

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there there's, like, a few words where I'm, like, can we please stop using this

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word? I'm never gonna use it again now because you've ruined it for me.

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And I feel like that makes sense because it's just trying to

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predict what I wanted to say. Very interesting.

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Absolutely. So when we think about this as a marketer,

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they're they're fall, people fall into 2 camps. There's a people who are, like, never

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in a 1000000 years, and then there's people who are, like, I use it every

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day. And I feel like I'm somewhere in the middle, but then I feel like

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I have to always explain. Like, I use it every day, but I don't

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do this because it feels like I'm cheating. Like, I'm not cheating, but I

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am using this as a shortcut. Why does it feel like we're cheating when we're

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using these tools? Yeah. I mean, there's a real ethical

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dilemma here and and quite a paradox of I I

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think the the more you use generative AI and the

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more time you put into it, the more time you put into training a system

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to get to know you, to be able to write like you, you you give

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it that feedback, like, hey. In my case, it's the word

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demystify, the word wield. It always wants to

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wield things. And I'm like, no. We don't we don't use that verb in my

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life. So it's like teaching it which words to use, what

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tone, etcetera. Because generative AI is a machine learning

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system and machine learning systems get better. They literally

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learn and they learn through trial and error, through feedback, and through

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lots of practice. So the more you train it, the better it gets. So

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anybody that's that's invested a bit of that time, it it is

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undeniable that this is a tool that can be helpful. This is a

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tool that can supercharge your productivity. But then you have that moment

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of, like, you know, if you're if you're someone that, you know, has any sense

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of integrity, you've heard that, okay, maybe it was trained on on

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copyrighted data. There's a bit of a gray area there. You're thinking,

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okay. I'm not really creating this. Can I say that it's something that I actually

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made? Is that ethical? There's also some environmental

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concerns with generative AI. The actual

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computing power required to run these systems

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is immense. Wow. And when you're using computing power, that means you

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might be using more fossil fuels, you might be using more electricity, you know,

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etcetera, etcetera. And so there's an environmental impact there as well.

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So it's it's kind of like like, what is a thoughtful marketer to do?

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You know, you you want to potentially do better work. You

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want to do better work in less time, or with that extra

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time, you could just do more work, I guess. So

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is is it cheating to use Chat GPT? This is this is one of those

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conversations that, I think is best had with, like, a glass of wine because it

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it almost goes a little bit more into a, like, a theoretical conversation. But I

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was talking with someone recently, and they said that they felt like cheating. And I

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said, okay, let's unpack that a little bit. Is it

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cheating? Use a calculator. And we talked about that a little bit.

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And I said, I I have a daughter who's in middle school. And right now

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she is she's at the point now where she's allowed to use a calculator in

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math class. But for a number of grades, she wasn't allowed to use a calculator

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because it was very important that she knew how to manually do

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long division because she was understanding the

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mathematical concepts of addition, subtraction, multiplication, and division.

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So in that case, it would be very bad for her to use a calculator,

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but I use a calculator all the time because it frees

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up my time and my mental energy to do something that's, you know,

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more intensive. Right? Yeah. So

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the thing about ChatChiPT though is that if you

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completely outsource everything to it, if you

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if you if you've trained it really well so that it can write just like

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you and you say, write me 5 blog posts, and then you just kind

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of, I don't know, you you go and do something else and you come back

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and you're like, yeah. Yeah. That looks good. Good. Good. You copy and paste. You

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publish. You put it right up on the web. You let it do everything for

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you. I think that's when it feels like

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cheating because there there's 2 things. There's

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are you potentially, cheating by getting to the final

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product without you being the one that's going there? So it's like, is that ethical

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to then turn around and, you know, sell it to your clients and to and

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to bill people for for those hours? But what I think you're really cheating

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is you're probably cheating yourself. Because, you

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know, I'm a writer. Like, I, I actually do like to write. I wrote

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a book, and I and I wrote the book myself. I didn't write it with

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artificial intelligence. When you're

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going through the process of writing, you're going through the process of

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thinking. And it's hard. Writing

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is hard. And it's hard because you're

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doing more than just stringing together words in a

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sentence. You're working out your thoughts. You know, you're figuring out,

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okay. Does this make sense here? Is this a logical argument? Do I need

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more examples over here? If I'm going to counteract my argument, is

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this flowing? Does do I need to to have something here that

254
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will, wrap this up? And, you know, there's different types of writing. There's

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writing an email to my sister-in-law. Who cares? ChatChapiti

256
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can do that. I don't care. But writing, you know, a

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detailed blog post about, you know, thoughts in the industry or

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something. That's the point where

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I might use AI tools to help me. They might help me

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to edit a little bit. They might help me to provide a, you know,

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a counterbalance to my argument. But I I personally will not

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let them just do everything Yeah. Because it's cheating me out

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of the thought process. Yeah. Yeah. And I think part of it

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too is this idea of, creating original work

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as well. I love that I can use chat

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gbt to help me with things like, you know, how can I wrap this up,

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or or what's a good title for this, or what's a hook

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for this? But when I think about contributing

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interesting stories, adding flavor,

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adding perspective. Those are things that I don't

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think ChatGPT can do nor should do.

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And I've even been playing around with Gemini recently as well.

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Same thing. I don't I don't want those tools to do those things

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for me personally because it does feel like cheating. But I do wanted to

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one of the things I did recently was, like, here are my top performing podcast

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episodes. What are 10 more things I can talk about on the on the podcast?

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And it gave me 10 ideas that were terrible and one that was great. And

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I was like, okay. Good. So I feel like there's some there's

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some the calculator shortcut there where I can go relieve my

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brain of thinking about this for 1 minute so that I can focus on the

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things that kind of add more context there, which I love. I love.

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Yeah. There's, there there's a sense of of getting

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to know what the tools are really good at and getting to know what they're

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not good at at all and then picking and choosing. Like like, treat

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them like a coworker. You'd be like, hey. I know what I'm good at, so

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I'm gonna focus on that part. I know what you're good at, so I'm gonna

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let you, you know, run with this part. I I used Chetche Bt

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recently to do some, data analysis. I I took an Excel

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spreadsheet that had something like 3,000

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rows of feedback from a program that we had run-in my company.

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And I took out all of the the names and email addresses of people because

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I don't wanna put confidential information into chat gpt. And I

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put it into chat gpt, and I said, read through this all of this,

294
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feedback and do a sentiment analysis. And it

295
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did it it did a really good job kind of pulling out key ideas.

296
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Now that was me playing to its strengths, and then I played

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to my strengths by then taking that and then

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crafting it into a proposal for a new program that I wanna

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run. So I wouldn't let ChatcheBT write the the proposal, but I would

300
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let Chachi Bt do the sentiment analysis for me because that would have oh my

301
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gosh. That would have taken me probably 6 or 7 hours Yeah. To read

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through all of that, to copy and paste, to to highlight,

303
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you know, commonalities and common threads. Like, it did it in, you know, 3

304
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minutes or something. Yeah. So. Brilliant. Ugh. I

305
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love that. And now I'm like, oh, I need to do this. Yeah. It's

306
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pretty good at it. Yeah. Surprisingly good. I love that. I love that. Okay. We're

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gonna take a quick break. And when we come back, we have more AI questions

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coming at you. We are long past the good old days

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of MySpace. And despite what those Facebook ads are

310
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touting as the magical AI solution antithesis to

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social media, social media is not dead. It

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is simply evolving, and that's what we're exploring at the

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Social Media Day Summit. Join me and my fellow

314
00:19:16.205 --> 00:19:19.585
experts on June 30th as we dive into what's working

315
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for social media marketers here now and today,

316
00:19:23.700 --> 00:19:26.840
we're exploring innovative strategies and timeless

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00:19:27.140 --> 00:19:30.500
tactics that you can use for both yourself and your

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clients. Grab your ticket today for $10, and I'll see you

319
00:19:33.965 --> 00:19:37.325
there. And we're back. So

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you talked a little bit about this already, and I wanna dive further

321
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on the topic of generative AI and copyright

322
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and who owns all of this. Because the latest update

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to chat g p t, you know, it can create photos and videos

324
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and design things for you. But do we

325
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own these things that it's creating? Short

326
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answer is probably not

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or no, depending on where you live in the world. So I'm

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in Canada, and in Canada, our copyright law does not

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recognize generative AI. Like, our copyright law predates generative

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AI. So Innovation Science and Economic Development Canada

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has, just wrapped up a consultation process with experts. They're taking

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all of the results from that. They're going to be advising and

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creating policy advice to update copyright law in Canada. So,

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TLDR, it's coming. You know, in Canada, we have an AI

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act that is being worked on at the moment, some copyright updates. But

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in America, the US copyright office has

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said, no, what you create with generative AI

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cannot be, copywritten means

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like writing copy for a website. I don't think you use that word if you're

340
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talking about copywriting something. So let me let me rephrase that sentence.

341
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The US patent office has said or sorry. The the

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you know what I mean. The, the federal copyright office in the United

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States has said that, that anything that's created with generative AI

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cannot be applied for a copyright, it cannot be applied for a trademark.

345
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So this is this is a big thing. If you use generative AI tools to

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make a logo, if you use generative AI tools to make an image

347
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that, you know, you wanna put on social media that will represent a

348
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program that you're running, you know, knock yourself out. But if you wanna turn around

349
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and then say that you own copyright to that image or if you use

350
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chat gbt to write a book or a white paper

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or something, it gets really tricky. You know, this thought of,

352
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well, then who actually owns that intellectual property, who owns the

353
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copyright of that material. So, in general, the answer

354
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is no, that that you basically either you probably

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don't or you definitely don't, have the copyright to anything you

356
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create. I think it's so important to emphasize that because

357
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this is where that that cheating feeling comes from

358
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because you have to be very careful, especially business owners, marketers,

359
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as you know what I mean? It's for your clients even. Like, there is some

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gray area and then there's like, oh, no. Definitely don't do this at

361
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all. And logos, any written copy

362
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that's going on websites and things like that, I just would stay away

363
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from it if I were you because you can get used some serious hot water.

364
00:22:22.095 --> 00:22:25.520
But I wanna talk specifically about, like, client stuff and,

365
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especially, you you mentioned earlier you removed names and email

366
00:22:29.280 --> 00:22:32.260
addresses to not feed it to the machine.

367
00:22:33.040 --> 00:22:36.135
Yeah. Because it's not safe. Right? Can you talk a little bit more about that

368
00:22:36.135 --> 00:22:39.735
as well? Yeah. So, you know, this is where I started to bump up

369
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against my knowledge of, you know, I am not a computer scientist. I I am

370
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not a an AI researcher. I'm also not a, I'm not a cybersecurity

371
00:22:47.169 --> 00:22:50.755
specialist, but I am an information sponge,

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and I read everything I possibly can. And I talk to a lot of people,

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and I listen as much as I can. And what

374
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I hear out there in the in the kerfuffle, in the

375
00:23:02.009 --> 00:23:05.769
chatter, is that we need to be a little bit concerned and and a

376
00:23:05.769 --> 00:23:09.135
little bit, we we definitely need to be a

377
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little safety conscious about putting any

378
00:23:12.975 --> 00:23:16.370
confidential information into chat GPT. Now chat

379
00:23:16.370 --> 00:23:19.730
GPT and and and all the other systems too, Microsoft Copilot, Google

380
00:23:19.730 --> 00:23:23.570
Gemini, Perplexity, Claude, Meta AI, all of

381
00:23:23.570 --> 00:23:27.335
them, same thing. These systems already know a heck of a lot about me.

382
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Like, anything that that you could find out about me by googling me, I

383
00:23:31.175 --> 00:23:34.730
figure is fair game. So my name, what I do, my

384
00:23:34.730 --> 00:23:38.350
business, etcetera, fine. I don't I don't pull that out.

385
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But anytime that I'm entering any information that has to do with my clients

386
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or people that I work with, that's where, if I

387
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can, I will strip out names, I'll strip out email addresses,

388
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anything that could be, personally identifiable? And that's

389
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it's it's just because the way that these systems

390
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work is a black box. We

391
00:24:01.945 --> 00:24:05.660
know in general how they work, but we don't know

392
00:24:05.960 --> 00:24:09.640
exactly how they come to the exact answer that they come

393
00:24:09.640 --> 00:24:13.400
to. And so when you're feeding information in and and

394
00:24:13.400 --> 00:24:17.225
I know Microsoft and OpenAI and Google, they have all

395
00:24:17.225 --> 00:24:21.065
said that they don't take your material that

396
00:24:21.065 --> 00:24:24.230
you type into the system, that they are not taking that and using it as

397
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their training data for their large language model. But

398
00:24:28.070 --> 00:24:31.750
there's also real world examples, and if you look it up, you'll find them, real

399
00:24:31.750 --> 00:24:35.535
world examples where people will interact with these systems, and all of a sudden, it

400
00:24:35.535 --> 00:24:39.375
it starts spitting out information that it it got from somewhere. Mhmm.

401
00:24:40.095 --> 00:24:43.530
So I I am a bit concerned about putting any

402
00:24:43.530 --> 00:24:47.210
sensitive information in there. Instead, I'll just pull it out or

403
00:24:47.210 --> 00:24:50.970
I'll rephrase. But that being said, there's still a heck of a lot you can

404
00:24:50.970 --> 00:24:54.635
do with these systems without, you you know, like, I'm not gonna I'm not gonna

405
00:24:54.635 --> 00:24:58.395
put, like, all of my client payment information or anything like

406
00:24:58.395 --> 00:25:01.480
that. I mean, do it. Like, you know, I would never do that. Yeah. Yeah.

407
00:25:01.480 --> 00:25:05.020
I mean, the big guys, they have a lot of information on us already

408
00:25:05.080 --> 00:25:08.920
too. So I feel like Yeah. I feel like the the the least

409
00:25:08.920 --> 00:25:12.725
amount I can give it, the better. One of my good friends works

410
00:25:12.725 --> 00:25:16.565
in data privacy now on the government level. And the stuff she

411
00:25:16.565 --> 00:25:20.270
tells me, I'm like, o m g. Like, they know a lot about

412
00:25:20.270 --> 00:25:24.030
us. And some of the stuff we're, like, volunteering, just

413
00:25:24.030 --> 00:25:27.544
to share. So anything that we can be very careful and

414
00:25:27.544 --> 00:25:31.225
mindful of how we give them that information is, I think,

415
00:25:31.225 --> 00:25:34.664
key here, especially with other people's stuff.

416
00:25:34.664 --> 00:25:38.290
Like, if you're a marketer and you're working on your your client

417
00:25:38.350 --> 00:25:42.190
sentiment analysis, for instance, on, you know, reviews that they've had, remove those

418
00:25:42.190 --> 00:25:45.975
names, remove those email addresses for sure because you don't want that

419
00:25:45.975 --> 00:25:48.794
information being leaked out there. I love that.

420
00:25:49.894 --> 00:25:53.650
Okay. So on the same tone of, like,

421
00:25:53.650 --> 00:25:57.410
using generative AI, specifically as a marketer,

422
00:25:57.410 --> 00:26:01.145
as a professional, even, you know, I'm thinking about copywriters, I'm thinking

423
00:26:01.145 --> 00:26:04.125
about web developers, I'm thinking about designers.

424
00:26:05.385 --> 00:26:08.830
Do we need to disclose this for our

425
00:26:08.830 --> 00:26:12.350
clients? Yeah. So that's another big

426
00:26:12.350 --> 00:26:15.894
question that you can come at from a bunch of different angles. So let's start

427
00:26:15.894 --> 00:26:19.414
with the regulatory response. And that is

428
00:26:19.414 --> 00:26:23.170
that in Canada and in America right now, you are

429
00:26:23.170 --> 00:26:26.710
not legally required to disclose the use of generative

430
00:26:26.770 --> 00:26:30.230
AI, like, from, like, like, the federal level at either of those companies.

431
00:26:30.505 --> 00:26:34.184
If you are in the European Union, you do have to disclose the

432
00:26:34.184 --> 00:26:37.840
use because the EU has passed their AI act, which

433
00:26:37.840 --> 00:26:41.360
does have different parameters for the disclosure of use of

434
00:26:41.360 --> 00:26:45.120
AI. Like I said, there's one coming in Canada, there's one coming in

435
00:26:45.120 --> 00:26:48.835
America, all of this stuff, you know, this is typical. Technology moves faster than

436
00:26:48.835 --> 00:26:51.895
the law does, so the law has to, you know, catch up.

437
00:26:52.595 --> 00:26:56.330
But that's just, you know, the the basics. Right? Like

438
00:26:56.330 --> 00:27:00.050
like, regulatory, you know, federal law. Do you have to that

439
00:27:00.090 --> 00:27:03.385
now you've got to kind of get into this this question of, you know,

440
00:27:03.465 --> 00:27:06.925
ethically, do you need to tell your clients? Now

441
00:27:07.225 --> 00:27:11.000
I would assume that your clients know that you use certain tools,

442
00:27:11.080 --> 00:27:14.780
that when you are creating an image for them,

443
00:27:15.080 --> 00:27:18.735
or or some graphic design for their social media posts, or

444
00:27:18.735 --> 00:27:22.195
for their website that you are not, you know, personally painting

445
00:27:22.815 --> 00:27:26.575
a photo, you know, an image that will become, you know, their their Facebook

446
00:27:26.575 --> 00:27:30.389
post, that you are using tools. You're using Photoshop. You might

447
00:27:30.389 --> 00:27:34.149
be using Canva. You might be using Adobe Premiere to cut some

448
00:27:34.149 --> 00:27:37.975
videos. They know that you're using tools and I think it's it's

449
00:27:37.975 --> 00:27:40.075
generally considered okay to use tools.

450
00:27:41.735 --> 00:27:45.275
I think that the real dilemma lies in,

451
00:27:46.600 --> 00:27:50.440
the value of the work. And this is

452
00:27:50.440 --> 00:27:54.235
the thing that becomes really, really thorny, which is that, you've got to

453
00:27:54.235 --> 00:27:57.835
think about why and I know we're we're getting a bit theoretical here, but

454
00:27:57.835 --> 00:28:01.650
but why are your clients hiring you? What is the

455
00:28:01.650 --> 00:28:05.110
value? Is the value the final product?

456
00:28:05.730 --> 00:28:09.135
Is the value the getting to the final product? Is the

457
00:28:09.135 --> 00:28:12.895
value that they, they love working with you because

458
00:28:12.895 --> 00:28:16.435
you're so pleasant to work with, is the value that

459
00:28:18.280 --> 00:28:22.060
you can, you know, do some analysis and some strategy.

460
00:28:23.400 --> 00:28:26.940
But if the value is purely in the final product,

461
00:28:27.455 --> 00:28:31.294
then we've got a problem. Mhmm. Because we've got robots that can get

462
00:28:31.294 --> 00:28:34.840
to the final product. And we got robots that don't sleep, they don't eat. Right

463
00:28:34.840 --> 00:28:38.120
now, a lot of them are free or very, very low cost. So it's gonna

464
00:28:38.120 --> 00:28:41.559
be a race to the bottom really, really fast in terms of just

465
00:28:41.559 --> 00:28:45.235
competition of, you know, how can a human compete with a robot if all you

466
00:28:45.235 --> 00:28:48.995
care about is the final product? So that right there, I think,

467
00:28:48.995 --> 00:28:52.390
is why some people are hesitant to tell their

468
00:28:52.390 --> 00:28:55.910
clients that they're using generative AI because it might open up a

469
00:28:55.910 --> 00:28:59.750
conversation of the client, and hopefully your clients are much more respectful than

470
00:28:59.750 --> 00:29:02.775
this. But the client could look you in the eye and say, well, what am

471
00:29:02.775 --> 00:29:06.455
I paying you for then? Yeah. You know, and you better have a really good

472
00:29:06.455 --> 00:29:09.990
answer to that question. And hopefully, you are

473
00:29:09.990 --> 00:29:13.830
bringing so much more value than just the, like, well, I

474
00:29:13.830 --> 00:29:17.175
sliced and diced and made 10 Instagram posts for you. Yeah.

475
00:29:17.495 --> 00:29:21.335
That that there's more to it than that. But if you can't say that there's

476
00:29:21.335 --> 00:29:24.990
more to it than that, then, like, I mean, they might fire

477
00:29:24.990 --> 00:29:28.830
you. And frankly, I would probably fire you, too. Yeah. You know, everybody wants

478
00:29:28.830 --> 00:29:32.125
to save money, and if the if the robot can do just as good of

479
00:29:32.125 --> 00:29:35.405
a job, then why not let the robot do it? So it's, it's, it's a

480
00:29:35.405 --> 00:29:39.070
real, it's a really meaty question, that

481
00:29:39.070 --> 00:29:42.530
really gets into as marketers, what is our value?

482
00:29:43.230 --> 00:29:46.865
And I I strongly believe that it is not solely in the final

483
00:29:46.865 --> 00:29:50.485
product, but we have to get better at communicating

484
00:29:50.705 --> 00:29:54.549
that value to our clients so they don't assume

485
00:29:54.549 --> 00:29:58.390
that the value is in the final product. You have my wheels spinning over

486
00:29:58.390 --> 00:30:00.809
here because this is something I've been trying to

487
00:30:02.265 --> 00:30:06.045
conceptualize for myself and and especially, I mentor,

488
00:30:06.105 --> 00:30:09.785
you know, marketers, social media managers. And this question does come

489
00:30:09.785 --> 00:30:13.370
up, often, especially for clients who are more

490
00:30:13.370 --> 00:30:17.210
budget conscious and, you know, scrappier, and they're trying to

491
00:30:17.210 --> 00:30:21.054
do the thing. And frankly, there is a lot that these tools

492
00:30:21.054 --> 00:30:24.735
can do. I like to compare it to the Photoshop versus

493
00:30:24.735 --> 00:30:28.255
Canva conversation where, you know, go back 10 years

494
00:30:28.255 --> 00:30:31.710
ago. If you said as a marketer that you primarily

495
00:30:31.929 --> 00:30:35.690
use Canva as your design tool, people were like, what am I paying you

496
00:30:35.690 --> 00:30:39.315
for? Right? Like, oh my gosh. You don't use Photoshop? You don't use the Adobe

497
00:30:39.315 --> 00:30:42.855
Suite? Whereas now, it is very acceptable

498
00:30:43.394 --> 00:30:47.090
and encouraged even to use Canva as the tool for, like,

499
00:30:47.090 --> 00:30:50.610
a very easy way to, like, whip up something really quickly that doesn't need all

500
00:30:50.610 --> 00:30:54.304
the technical aspects of, like, an Adobe product. So I do

501
00:30:54.304 --> 00:30:57.664
think that there's a conversation there. And I also hear a little inkling of, like,

502
00:30:57.664 --> 00:31:01.320
an ethical conversation around what are we telling our

503
00:31:01.320 --> 00:31:05.159
clients, how are we presenting this information. Because if we are

504
00:31:05.159 --> 00:31:08.779
using it, we definitely do need to disclose it, I think, from an ethical

505
00:31:08.840 --> 00:31:12.365
perspective. Like, you know, having, we're working on this with our

506
00:31:12.365 --> 00:31:15.805
agency right now, having, like, a one cheater or, like, even a page on our

507
00:31:15.805 --> 00:31:19.570
website that's, like, here's how we use AI tools in the

508
00:31:19.570 --> 00:31:23.330
business. Yeah. And so I think that the there's, like, a lot of things

509
00:31:23.330 --> 00:31:27.110
at play there. And like you said, it's moving so much faster than,

510
00:31:27.745 --> 00:31:31.105
the laws can keep up with it. So it we're kinda like the wild, wild

511
00:31:31.105 --> 00:31:34.645
west out here making our own rules as we go before the laws catch up.

512
00:31:35.100 --> 00:31:38.460
Yeah. Absolutely. And it's one of those things where, like, you know, this could be

513
00:31:38.460 --> 00:31:42.220
a completely separate podcast episode, and I'm sure you've had this this episode and

514
00:31:42.220 --> 00:31:46.015
will continue to have it. But, this kind of gets you into, again, that big

515
00:31:46.015 --> 00:31:49.055
conversation about what is your value, what is the value that you bring to your

516
00:31:49.055 --> 00:31:52.460
clients, and, also, how is your fee structure

517
00:31:52.460 --> 00:31:56.300
reflecting that value? And is your fee structure aligned with

518
00:31:56.300 --> 00:31:59.820
that value? Because, and now here come here comes some Avery opinions for

519
00:31:59.820 --> 00:32:03.535
you. I don't do a lot of client services these days, but

520
00:32:03.535 --> 00:32:07.215
I did for many, many years, and I was never a

521
00:32:07.215 --> 00:32:11.030
fan of the hourly rate. I am not a fan of the billable hour. I

522
00:32:11.030 --> 00:32:14.870
am not in the business of selling time. I am in the business of selling

523
00:32:14.870 --> 00:32:18.705
expertise. I'm in the business of selling ease. I'm in the business of

524
00:32:18.705 --> 00:32:22.385
selling strategy. I am a bit in the business of selling the final

525
00:32:22.385 --> 00:32:26.140
product because it's gonna be pretty good too. But if

526
00:32:26.140 --> 00:32:29.580
you are doing a billable hour with your clients and

527
00:32:29.580 --> 00:32:33.260
if using generative AI literally gets more

528
00:32:33.260 --> 00:32:36.995
done in less time, you've got a problem. Yeah. Either

529
00:32:36.995 --> 00:32:40.835
your billable hour like, your rate has to go up or you're going to

530
00:32:40.835 --> 00:32:44.215
have to do something to add value in that hour

531
00:32:44.490 --> 00:32:47.450
because you may actually be able to create. And and this this is what a

532
00:32:47.450 --> 00:32:51.290
lot of studies are showing that on average, people that use generative AI

533
00:32:51.290 --> 00:32:55.105
tools are saving between 25 45 percent of their

534
00:32:55.105 --> 00:32:57.985
time. Wow. And so what are you gonna do with that time? Are you gonna

535
00:32:58.385 --> 00:33:01.640
and this gets into a big conversation of, like, as a society, what are we

536
00:33:01.640 --> 00:33:05.240
going to do with that time? Unfortunately, because we're all just

537
00:33:05.240 --> 00:33:09.080
capitalists. We're probably just gonna do more more work with that

538
00:33:09.080 --> 00:33:12.695
time. But wouldn't it be beautiful if we did less work, if we if we

539
00:33:12.695 --> 00:33:15.095
took that time and that was time that all of a sudden we all just

540
00:33:15.095 --> 00:33:18.535
embraced a 4 day work week, or we, you know, spent more time with our

541
00:33:18.535 --> 00:33:21.929
family and our our and our communities and our pets and and the things that

542
00:33:21.929 --> 00:33:25.610
we doing the things that we love. But we'll probably

543
00:33:25.610 --> 00:33:29.285
just do more work. I was just so there the

544
00:33:29.285 --> 00:33:32.725
podcast episode that's coming out next month, we're talking

545
00:33:32.725 --> 00:33:36.220
about systems and automations. And

546
00:33:36.220 --> 00:33:40.059
this is part of that conversation, which is, you know, we're

547
00:33:40.140 --> 00:33:43.919
we are in the capitalistic society of, like, improving things,

548
00:33:44.115 --> 00:33:47.635
But at the same time, there's something so sweet

549
00:33:47.635 --> 00:33:51.235
about having the hobbies. You know, like, having the time to do the

550
00:33:51.235 --> 00:33:54.940
things. Like, we we just do this because we like to frolic and enjoy it.

551
00:33:54.940 --> 00:33:58.780
And so Yeah. I I think that, hopefully, we can also do

552
00:33:58.780 --> 00:34:02.320
that with the power of technology and how quickly it's moving,

553
00:34:02.585 --> 00:34:06.265
you know, all this free time that we're saving. You know, we can read

554
00:34:06.265 --> 00:34:09.930
some romance novels and, like, enjoy a glass of wine in the sunshine. How about

555
00:34:09.930 --> 00:34:13.610
that? That's right. I love it. I love it. I'll be out in my

556
00:34:13.610 --> 00:34:17.450
garden, like, you know, tending to my flowers, which is what I love to do

557
00:34:17.450 --> 00:34:20.775
when I'm offline. Yes. Beautiful. And,

558
00:34:21.635 --> 00:34:25.315
speaking of flowers, y'all should, follow Avery on social media. She'll

559
00:34:25.315 --> 00:34:28.760
she'll post all that stuff there. You can find all the links to Avery's

560
00:34:28.760 --> 00:34:32.600
work, online dreya.com/309. And

561
00:34:32.600 --> 00:34:36.344
hey, guess what? Avery's gonna be speaking at our social media day summit coming

562
00:34:36.344 --> 00:34:40.025
up on June 30th. Avery, can you give us a little teaser

563
00:34:40.025 --> 00:34:43.625
about what your keynote's gonna be about? We're gonna be talking about this

564
00:34:43.625 --> 00:34:47.300
stuff. We're gonna get into these meaty issues. You

565
00:34:47.300 --> 00:34:50.819
know, I I am not an AI hater. I am also not an

566
00:34:50.819 --> 00:34:54.554
AI hype girl. I live in that in between world where I think

567
00:34:54.554 --> 00:34:58.235
most people are living right now. I'm trying to figure out how to how to

568
00:34:58.235 --> 00:35:01.860
wrestle with this stuff, how to use it in a really thoughtful, ethical

569
00:35:02.400 --> 00:35:05.840
way, to to get the benefits, but also to

570
00:35:05.840 --> 00:35:09.600
minimize the risk. So that's the kind of stuff I'm gonna be talking about.

571
00:35:09.600 --> 00:35:13.265
How to as a marketer, how do you use AI in a really thoughtful

572
00:35:13.265 --> 00:35:16.145
way? Yes. It's gonna be a lot of fun. We're gonna it's gonna be a

573
00:35:16.145 --> 00:35:19.650
lively discussion. We're gonna have a good time. Yay. I'm looking forward to it. Make

574
00:35:19.650 --> 00:35:23.410
sure y'all grab your tickets for that. And, Avery, if people wanna connect with you,

575
00:35:23.410 --> 00:35:26.530
tell us a little bit more about Camptech and how else they can connect with

576
00:35:26.530 --> 00:35:30.195
you. Yeah. Sure. So, Camptech, you know, we run, a

577
00:35:30.195 --> 00:35:33.575
number of different, training sessions for companies,

578
00:35:33.875 --> 00:35:37.670
for, small business groups, but we also run a whole bunch just for the general

579
00:35:37.670 --> 00:35:41.430
public. So you can check those out. You can attend them. They're online, so

580
00:35:41.430 --> 00:35:44.714
you can attend from anywhere. If you go to camp tech.ca/

581
00:35:46.055 --> 00:35:49.815
workshops I think it I think it's workshops, plural. Yeah. I'm

582
00:35:49.815 --> 00:35:53.370
fairly certain it is. Camptech.ca/workshops. Also, like you

583
00:35:53.370 --> 00:35:57.050
said, you can find me. I I'm an oversharer on the Internet. I'm

584
00:35:57.050 --> 00:36:00.810
always online. I think there's somebody named Avery Swartz that lives

585
00:36:00.810 --> 00:36:04.565
in Tennessee, but, too bad for that person because I own that

586
00:36:04.565 --> 00:36:08.405
name online. If you if you look up Avery Swartz, it will be me.

587
00:36:08.405 --> 00:36:12.230
It is nobody else will will show up with that name. I've got it on

588
00:36:12.230 --> 00:36:15.990
lock. I love that. I think there's something too for having a unique ish

589
00:36:15.990 --> 00:36:18.170
name. My name, and I can't get anywhere.

590
00:36:19.815 --> 00:36:23.575
Thank you so much, Avery, for being on the show today. It's been my

591
00:36:23.575 --> 00:36:27.410
pleasure. And all of you listening, thank you for hanging out with us today.

592
00:36:27.410 --> 00:36:29.349
All the links are in the show notes onlinedrea.com/309.

593
00:36:31.410 --> 00:36:34.690
And make sure you give us a 5 star rating on Apple Podcasts and Spotify.

594
00:36:34.690 --> 00:36:38.485
Helps keep us in the top 100 marketing podcasts. That's all because of

595
00:36:38.485 --> 00:36:42.105
your support. I'll be back at you soon with another episode.

596
00:36:42.245 --> 00:36:45.250
Until then, I'll see you on the Internet as well. Bye.