Can ChatGPT help us dress better? The use of artificial intelligence, filters and technology in fashion.

Summary

Sustain This! Podcast Summary

Episode Title: Can ChatGPT Help Us Dress Better? The Use of Artificial Intelligence, Filters, and Technology in Fashion
Release Date: January 21, 2025
Hosts: Alyssa Beltempo, Christina Mychas, and Signe Hansen

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Introduction

In this thought-provoking episode of Sustain This!, hosts Alyssa Beltempo, a sustainable stylist; Christina Mychas, a shopaholic turned minimalist-ish; and Signe Hansen, a color consultant and slow fashion style coach, delve into the intersection of artificial intelligence (AI) and fashion. They explore how AI tools, such as ChatGPT and various color analysis filters, are influencing personal style and conscious consumerism.

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Exploring AI-Based Color Analysis Filters

The conversation kicks off with a discussion on the surge of AI-driven color analysis filters popularized on platforms like Instagram and TikTok. Signe notes, “[...] you’ve probably seen, for example, the color analysis filters go around” (00:29). These filters aim to determine an individual’s color season—spring, summer, fall, or winter—by analyzing their complexion and suggesting suitable color palettes.

Christina's Experience: Christina shares her experimentation with two distinct color analysis filters:

• Quadrant Drape Filter: “I posted a short on TikTok and on my YouTube shorts... it puts a little drape on you and it cuts it off into four quadrants” (01:32). This filter alternates between different seasonal palettes, prompting confusion as Christina found herself torn between autumn and winter palettes, ultimately preferring the fall palette despite being categorized as a winter.
• Sunburst Color Filter: Christina found this filter overwhelming due to the multitude of colors, stating, “I couldn’t see a difference. I don’t know” (03:26).

Signe echoes Christina’s sentiments, highlighting the inconsistency and potential misleading nature of these AI tools: “I think sometimes it can be helpful... but I definitely also see how it can just be more confusing than actually helpful” (03:35).

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Effectiveness and Limitations of AI Filters

The hosts critically evaluate the reliability of AI-based color analysis:

• Variability and Accuracy: Signe mentions that factors like lighting and camera quality can skew results, making AI-driven analyses less dependable. She adds, “sometimes it can be more confusing than actually helpful” (03:35).
• Human vs. AI Precision: Christina contrasts AI filters with professional color analysis, noting the lack of nuance in AI recommendations. “I hate all the colors in the winter palette... I hated them” (01:32).

They discuss the broader implications of relying on AI for personal styling decisions, emphasizing that AI lacks the ability to understand individual preferences and emotional connections to colors—a concept Signe refers to as color psychology.

Signe on Color Psychology: Signe introduces the idea of using color to evoke certain emotions and align with personal psychology, stating, “what about the emotional attachment that you might have towards a certain color and how you can use the color to evoke certain emotions within you?” (09:17).

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AI in Outfit Generation

The conversation shifts to AI's role in creating outfits through wardrobe apps like Cladwell and Open Wardrobe. Signe expresses appreciation for personalized AI-generated outfit suggestions, provided users maintain a curated wardrobe: “some outfits might be a miss, but you know, some might be great or something you haven't tried before” (15:10).

Christina’s Curiosity: Christina wonders about the depth of AI-generated outfits, questioning whether AI considers accessories and layers. Signe responds that current AI tools often limit outfits to basic combinations, leaving room for personal finishing touches: “as I remember it, it was only top, you know, top jacket or layer and then shoes and a pair of bottoms” (16:19).

Alyssa adds that AI can serve as a useful starting point, sparking creativity: “Even if it just gives you a starting point for something that you would have never tried before” (17:21).

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The Importance of the Human Element in Styling

A significant portion of the episode revolves around the irreplaceable value of human stylists:

• Nuances and Personal Connection: Alyssa emphasizes that AI lacks the ability to assess a person's aura or how they carry different outfits, stating, “AI could be like, yes, these will both work with this pair of jeans. But the human is gonna say, like, oh, but look at how you carry yourself” (20:39).
• Collaborative Process: Signe highlights the collaborative nature of professional styling, where stylists and clients work together to create personalized looks, which AI cannot replicate: “we come up with a solution together, which I don't think you would get that same thing with AI” (19:51).

Christina on Human Touch: Christina points out that human stylists can bring in elements like individual personality and lifestyle into their recommendations, something AI struggles to incorporate fully.

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Environmental Considerations of AI Usage

The hosts touch upon the environmental impact of AI technologies:

• Carbon Footprint: Alyssa raises concerns about the higher carbon footprint associated with AI operations compared to traditional search engines: “AI to get an answer from ChatGPT has a bigger carbon footprint because it requires more of these data centers” (24:12).
• Sustainability Implications: Signe notes that the environmental cost of AI should be a consideration for conscious consumers, aligning with the podcast’s focus on sustainability.

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Concluding Insights

In their closing remarks, the hosts reflect on the balance between leveraging AI as a helpful tool and preserving the essential human elements in personal styling:

• AI as a Supplement, Not a Replacement: They agree that while AI can enhance the styling process by providing inspiration and efficiency, it should complement rather than replace human expertise.
• Future of AI in Fashion: The hosts express optimism about the ongoing evolution of AI in fashion but stress the importance of maintaining human creativity and personal touch.

Final Thoughts by Signe: Signe encapsulates the episode’s essence by emphasizing the irreplaceable nature of human interaction in fashion: “there's just something about a human, human element, even human error” (25:35).

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Notable Quotes

• Christina Mychas [01:32]: “I feel like this filter was so confusing and there's so much debate in the comments of, it's. For me, it's between an autumn and a winter.”
• Signe Hansen [09:17]: “I think there are many different approaches that we rarely talk about, because another thing we often talk about is what is considered timeless or what are considered versatile colors. But what about, like, the emotional attachment that you might have towards a certain color and how you can use the color to evoke certain emotions within you?”
• Alyssa Beltempo [20:39]: “AI could be like, yes, these will both work with this pair of jeans. But the human is gonna say, like, oh, but look at how you carry yourself when you wear that bomber versus when you put on the blazer.”

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Conclusion

This episode of Sustain This! offers a comprehensive exploration of AI’s burgeoning role in fashion, meticulously weighing its benefits against its limitations. The hosts advocate for a harmonious integration of technology and human insight, ensuring that personal style remains a deeply individual and nuanced expression. As AI continues to evolve, the conversation underscores the importance of maintaining sustainability and the irreplaceable value of human creativity in the realm of fashion.

Transcript

[Alyssa]

Welcome to Sustain this, a podcast where we discuss mindful consumption, personal style, and the quest for living a more intentional life. I'm Alyssa, a sustainable stylist.

[Christina]

And I'm Christina, a shopaholic turned minimalist. Ish.

[Sina]

And I'm Sina, a color consultant and slow fashion style coach.

[Alyssa]

Together we will unpack the nuances of what it really means to be a conscious consumer and find more joy in what we have right now. So grab your tea, your coffee, or whatever floats your boat and join us in the conversation. Let's go.

[Sina]

Yay.

[Alyssa]

Yay.

[Sina]

All right, everyone, welcome back to the podcast, and thank you so much for joining us today. We're so happy to have you here. We are going to dive into the world of AI today, and more specifically, we're going to talk about using AI as styling advice. So I'm sure many of you have probably seen either on Instagram or TikTok, if you're online on any of those places, you've probably seen, for example, the color analysis filters go around. I feel like there was some point, what was it throughout this year where everyone tried to figure out what their color season was by trying a filter. So we're gonna dive a little bit into that today. Just what our thoughts are. Have we tried any filters ourselves? And did we find it helpful? And. Yeah, what are our general thoughts on those kind of things? So I'm intrigued to hear if any of you guys have tried any of these filters, that being color analysis or anything else you might have stumbled upon.

[Christina]

Yeah, I tried two different kinds of color analysis filters. One was I posted a short on TikTok and on my YouTube shorts, just kind of going through the color. It's like, it's one of those filters that actually has like a. That puts a little drape on you and it cuts it off into four quadrants. And it'll, like, every time you tap, it'll change the color to like a spring, summer, fall, winter green, let's say. And then you tap again and it'll change it to a spring, summer, fall, red. And so in every quadrant, you can see what drape looks best on you. But I feel like that filter was so confusing and there's so much debate in the comments of, it's. For me, it's between an autumn and a winter. Maybe we can talk about the spring. Like the seasonal color analysis compared to the type of color, the. The type of color analysis that you do. Because I think it's so diff. It's so different. And I. And I found it fascinating because I guess by maybe the seasonal color analysis, I have thoughts that I'm a winter because I'm like, very fair and kind of high contrast. But I hated all the colors in the winter palette. I hated them. And then I actually gravitated towards the colors that were in the fall palette, which were much more deep and. And cooler toned and very, very saturated. Whereas the winter colors that this filter was offering me was like, really, really bright and clear, still saturated, but very, very bright, like fuchsia pinks and neon yellows and stuff like that. And I'm just so. A lot of people were being like, oh, you're a winter, and that looks best on you. But I'm like, I hate all of these colors. So I just got. I just got really confused. Yeah. And then there's another one that's almost like a sunburst of different colors all around.

[Sina]

Yeah, I've tried that on a couple of clients.

[Christina]

I don't get that one.

[Sina]

Yeah. And what was the result that was more confusing?

[Christina]

I couldn't see. I couldn't see a difference. I don't know.

[Sina]

Yeah, no, I find that one really confusing too, because there are almost too many colors to choose from there.

[Christina]

Yeah. Yeah.

[Sina]

I feel like if you had to choose one of those two, I think this, the individual draped one is better. Yeah. But, yeah, yeah, it's. I don't know. Like I said, I've tried the filter on a couple of my clients just for fun and also because I wanted to create a little bit of content around that. And I think sometimes it can be helpful also when you know what they are beforehand, I guess you can see kind of like how they could fit into one of different categories. But I definitely also see how it can just be more confusing than actually helpful. And I feel like there's so many factors like light exposure on your phone and just the quality of the video that you're recording together with that filter that can impact the result. I know that there are apps that do this as well. Again, that's something I've had clients, even clients coming in for in person call analysis, and they'll be like, yeah, I tried this app and it told me that I was a. I don't know, a soft summer. And then, you know, we might come up with a similar result, but then in other cases, we come up with something completely opposite. I've also seen people make content about how you can ask ChatGPT about what your color type is somehow.

[Christina]

Oh, yeah. And what I was going to ask you about that is. Have you tried that?

[Sina]

I haven't tried it myself. Maybe I should. Actually, I haven't done it myself, uh, because I've, I've. I guess I haven't felt the need to. To try it out myself. I, I completely understand why people do this because again, they want perhaps a slightly more accessible solution. And, and I've also seen people, you know, which it makes me a little bit sad. But I've had people seen, like, content from people being like, don't waste your money on a professional color analysis. Do this instead. Like, and obviously from a consultant's perspective, I find that a little bit sad that. Because I think for me you get more precise results when it's conducted by a real person and there's more nuance you can offer. Are we just about to. To weed out real people completely? I, I don't see that happening. You know, that's why I enjoy my job. It's because I work with real people and I meet so many different people, um, too. So, yeah, I have very mixed feelings about the color analysis filters. Have you ever tried one, Alyssa?

[Alyssa]

No, I am, No. I, I guys, technology. Like, I post and ghost, okay? Like, I'm not, I'm so. I'm so bad. I'm the worst content creator, okay. Because I'm like, I go in, I look for things or like, I don't know, it's just not. No, I know. I, you know what? With color, I don't know what else to say. I can't contribute to this conversation. I. You know what I realized with color specifically, I think the color analysis fascinates me. And wearing, like, I'm so excited for when we hear more about. I don't wanna, I don't wanna give anything away, but anyway, I think it's like post. I, I prefer to do my own research based on what I gravitate to naturally first. So like, I don't. Not that I don't want outside help or whatever, but like, I, I'm very, very much. I realized this in all things, like a trial and error person. So I'm gonna go to what I gravitate towards regardless. Like, whatever. Who cares? I don't. Whatever. And I'm gonna try it and I'm gonna do the thing and I'm gonna test it and I'll either like it or I won't. And that's how I weed out things that I like or that I don't. I have to be initially attracted to it in the first place before embarking on whatever.

[Christina]

So oh, so you're saying, like, you need. You want to. Like, you need to initiate the curiosity and color analysis to even want to explore that? Is that what you're saying?

[Alyssa]

I guess.

[Christina]

No.

[Alyssa]

I think it's not so much the curiosity. It's more. I want to be drawn. I guess I want to be drawn to it naturally. I don't want to be told, like, oh, you look. Yeah, the color, or even, like, jeans. Like, I don't want to be told, like, this is your body type or this is your ex, so this is what's going to look good on you. It's like, how do you know I'm going to go for what I like? You know what I mean? Like, I'm just going to go for it because it's. I'm naturally drawn to it. And then sometimes, though, it doesn't work. Like, I was natural. I'm naturally drawn to yellow. I love yellow. And I bought a mustard yellow turtleneck exactly like this, and it looked horrible on me. And every time I would wear it, I would feel horrible, and it'd be angry because it didn't look good on me. And I would have resentment towards this yellow turtleneck until finally I was like, this does not look good on me. And then I started doing a bit more research about color, like, analysis, and I was like, oh, wait, this. This is, like, not a nice color on me. So, Alyssa, you can't wear, like, you know, like, it takes me so long to get there. But it's only. I'm at the point now where I would love to get, like, a professional color analysis, and I would like a debt. You know what I mean? Yeah, I know. Like, with. But I would.

[Sina]

100% one in Copenhagen.

[Alyssa]

Yeah, I know, but I would. I wouldn't think. Yeah. And I would go straight to a human to do it, because I would want. But I mean them to.

[Sina]

I think it's very valid, like, everything you say. You're probably not one of the first people who would book a color analysis, but I think. And we're gonna make an entire episode about color psychology. I think we've touched a little about a little on it in. In some of our previous episodes, but we're going to dive a little bit more into color psychology, because I feel like that's a whole. It's a. It's a whole field on its own, and I think it's a field that you can very much also dive into when you're creating a color palette for your wardrobe, because a lot of the conversation is Evolved around what looks flattering or what looks good on you, which is obviously the point with color analysis. It will also, like, for me, it will naturally open your eyes to many different colors. But I think there are many different approaches that we rarely talk about, because another thing we often talk about is what is considered timeless or what are considered versatile colors. But what about, like, the emotional attachment that you might have towards a certain color and how you can use the color to evoke certain emotions within you? I think that's also very. A very valid reason to choose, you know, certain colors.

[Alyssa]

Yeah, I love that. I think that's so cool. And I think that's where it can come in handy, is, like, you can be so much more intentional about your choices. And so, you know, wait, I want to. I'm gonna try one of these filters, but is it complicated? Do I have to download an app?

[Christina]

No, you can, like, search for it.

[Sina]

On TikTok and just filter.

[Alyssa]

Yeah, I'm gonna do it.

[Christina]

I have tried not. Not one to do a style. I can't think of any kind of other really prevalent ones, but one that's really, really big right now. Is a filter to determine your contrast level. Oh, yes. If you're high, medium, or low contrast for your face.

[Sina]

Was it the makeup one? Yeah.

[Alyssa]

This looks cool.

[Christina]

Yeah, it's interesting. So there's a French makeup artist who. I think she's the one that either created the filter or started talking about this, but basically how you do your makeup according to your contrast level. So. So if you're, like, low contrast, so maybe scene, I. I guess you would be considered more of a low contrast. But if we did the filter, like, maybe you might. You might even look medium because your eyebrows are darker and your hair is like a, you know, a little bit of a deeper blonde as opposed to, like, a lighter. So, but basically, it takes into account your skin tone, your eyebrows, your eye color, your hair color, and, like, you can tap it, and it'll cut your face in half like this, and so it'll be your face and then the contrast level.

[Sina]

So will it apply makeup like a filter with makeup on one side?

[Christina]

So it's. It. It makes everything black and white, so you can see, like, how bright your skin is compared to, you know, your brows, etc. So a lot of people have been doing this. So they've been doing this filter and then determining if they're high, medium, or low contrast and then doing makeup based on that. So, like, a high contrast look might be, like, a really deep eye with A fair L lip or a really bold lip with a fair eye or a low contrast look would just be kind of. Everything is just very, very blended and soft. And then I guess medium is somewhere in the middle. So I thought that was really interesting. But every time I see videos like that, I feel like the high contrast are very. There's debate between who's high contrast and medium, and then there's debate between who's low contrast and medium. So I think a lot.

[Sina]

Seems like there should be a category in between almost maybe.

[Christina]

Yeah. So there's like a. There's debate on, like, what people are, I guess, in the comments just as much as there would be debate of, like, oh, am I an autumn or a winter in this filter? You know?

[Alyssa]

But, Sina, as part of your tonal color analysis, isn't that almost part of it? Like the high. The contrast piece?

[Sina]

Yeah. We have three factors that we look at with tonal color analysis. So we both look at, for example, Christina, you are a deep, cool, clear. So we both look at the. The depth of someone. We look at the undertone, and then the clarity, which would be, in other words, the contrast. Is it soft or is it. Is it clear? Basically. So, yeah, it's. But it's like we're trying to take all three color. Color factors into consideration rather than just focusing on one. So there's those three all together, and we look at all three of them, and then one might be more dominating, but we will always take all three into account. So that's also why some of those, like, seasonal filters are that with tonal analysis, we might come up with a slightly different result. Or that's why to us who use tonal color analysis, it makes sense that people can be like a crossover between several. Because we take more factors into account when we. When we analyze.

[Christina]

What do you think about AI creating outfits for you?

[Alyssa]

This is cool. I find it interesting also.

[Sina]

Yeah.

[Christina]

Apparently a lot of the photos on Pinterest are now AI I've seen that.

[Alyssa]

I've heard of this, and I've seen. I feel like they are. I feel like they are.

[Sina]

I mean, yeah, definitely. For. I went to the hairdresser not long ago, and I. I feel like most of the hairstyles or like the pictures of women with certain hairstyles, they were all AI like, you can see that completely smooth and perfect skin, and they look very real, but then at the same time, they're almost too smooth to be real.

[Christina]

Yeah, there's something a little off about it, right? Yeah.

[Sina]

But I do I do like the idea of AI for styling if it's for example, a wardrobe app. Like, I used to love Cladwell back in the day. I know Open Wardrobe has a similar feature where when you catalog your clothes, you can either create outfits manually or you can use the AI generated outfits where it kind of comes up with outfit ideas for you. And I actually really, I really like that because it's your, it's your own closet. And you know, especially if you make sure to curate your closet and only have things that you can and will actually wear, then yeah, some outfits might be a miss, but you know, some might be great or something you haven't tried before or just a new way of wearing a certain piece. So in that sense, I actually really like that. Because it's more personalized to you.

[Christina]

Yeah, it's a kind of like a. I can't, I can't picture it. Like, does. And I'm curious how deep it gets. Like, does it just combine top, bottom, outerwear and shoes? Or like, will it create layers for you and like accessories? You know what I mean? Like, yeah. How detailed does it get?

[Sina]

How I remember. It's been a while since I used the feature on either of those apps and as I remember it, it was only top, you know, top jacket or layer and then shoes and a pair of bottoms. So it wasn't like jewelry and accessories. And I guess that's where you could put your own finishing touch on things.

[Christina]

Yeah.

[Sina]

And where it would perhaps be nice for it to develop a little bit more. And, and I guess, yeah, again it's been a while since I used it, so I don't know if now you can categorize certain things, you know, if you can let the app know how you would normally use certain things. So it doesn't make. Because for example, you wouldn't necessarily wear, you know, knee high boots with a pair of flare jeans. Yeah, I guess you could wear them underneath, but you probably wouldn't wear them over their jeans. So there, as I remember, there were like sometimes some outfits that were a little bit strange, but there were definitely also outfits that worked and that gave. Gave some form of inspiration.

[Alyssa]

Yeah, I used it as well, the open wardrobe AI and it was cool. It was similar. Like the outfits were simple, but it's good to give you ideas of like, even if it, even if it just gives you a starting point for something that you would have never tried before. I think that's, that's interesting.

[Sina]

Yeah. Christine, I know you use the My Index or Index app. Is there A similar feature or do you need to create manual?

[Christina]

It's manual. And I feel like. I wonder. We. I think we're going to eventually have Devin and Yiddy, the founders of Index, on the podcast, but. And I would love for them to speak to it a little bit more, but they've been, as far as I'm aware, a little bit resistant to doing the AI wardrobe feature. I think a lot of people request it, but, yeah, I'd love to hear their thoughts. Are, like, maybe we can get them on the podcast and talk about that a little bit more. I think they're very protective of the human element around creating. Creating those outfits and styling and having that human touch. Because that's one thing that I do think about is, like, almost how algorithmic AI is. And I know obviously it's like pattern recognition and kind of things that repeat themselves. And I feel like in human behavior, we do work in patterns and recognize patterns, and there's patterns and everything naturally. But as you say, like, as you were bringing up before, there's just something about a human. Human element, even human error. Like, I feel like human error is a beautiful thing. It can be in certain cases. Yeah, I think AI and automation is fantastic in many, many aspects. Um, but, yeah, there's something about the human touch.

[Sina]

Yeah, you're right. We're. We're. We're missing out on some, like, some nuance and some layers. I also like to say, sometimes, especially, like, again, just color analysis, obviously I do style analysis as well, but color is definitely where I've had most, like, clients have worked with most. Most different people that sometimes, especially if you're in between or it's a little bit hard to place you, it's almost like a little bit of a collaboration between me and the client. And I try to, you know, we try to place you together or we come up with a solution together, which I don't think you would get that same thing with AI. You get one result and then that's it.

[Alyssa]

Yeah, you guys, AI does not have the sauce. Okay, so if, for example, like. No, but it's true. Like, if you're looking at a stylist versus AI, like, both, I think Christina and I, we both do like the index styling, and I think it's cool because, yeah, you won't. And like Cena said, like, you can't assess someone's aura or essence when they put on a blazer versus when they put on a bomber jacket. You know what I mean? Like, AI could be like, yes, these will both work. With this pair of jeans. But it's the human that is gonna say, like, oh, but look at how you carry yourself when you wear that bomber versus where you. When you wear the blazer. Like, lose the blazer. Go with the bomber. Do you know what I mean? So that's what is missed with AI I don't know how that would work for color, but.

[Sina]

Yeah, no, you're right. Like, we would also assess the color palette differently depending on what kind of person I'm standing in front of. Like, what's your profession? What. What are you? What. What. What kind of. What aura do. Do you have? And what. What seems like a perfect fit for you as a person? I also come to think about this because I feel like a lot of the wardrobe apps, they became a thing with the rise of capsule wardrobes and the whole discussion around capsule wardrobes and the versatility piece and where I feel like in the beginning, we focus very much on almost the wardrobe being 100% interchangeable, which, you know, I think we've learned now that that's not necessarily possible and that even though we love every single piece of clothing we might have in our wardrobes, we wouldn't necessarily wear everything together, because, as you say, Alyssa, we need the sauce and we need the finishing. The finishing touches. And I think that's what those kind of AI Generated outfits. That's what they're. I don't know. Yeah, that's probably what they're missing.

[Alyssa]

Yeah, yeah, yeah.

[Christina]

I think it's a good. Like, it's a good jumping off point if you. In terms of AI Outfits, I'm like, I want that. If I don't want to think.

[Sina]

Yes.

[Christina]

If I don't want to. If I don't want to go to Pinterest, if I don't want to spend even five minutes searching for something. So, yeah, it's nice to press a button and then get the roulette wheel spinning and the combinations come in. So I like it for that. And I think AI is there as a tool to make things easier and faster, et cetera. So I could see that aspect of it. But. So that's nice. We talk about the luxury of time and all that kind of thing. Although at the same time, if you're doing, like. Well, I guess I've only seen or heard of AI Outfits in the context of a wardrobe app that you've already inputted your clothes into. Like, I wonder if it's just like, you can be like, hey, chatgpt, I have a white shirt, a pair of Jeans and boots. Like, give me 10 different outfits or something. I'm sure you can do that. I've never tried that, though.

[Sina]

Me neither. I actually, I just tried typing in. Can you help me find my style?

[Alyssa]

Oh, my God. Amazing.

[Sina]

Okay. And it says, absolutely. Finding your style is all about expressing who you are and what makes you feel confident to get started. Could you share a bit about your current wardrobe, your favorite colors, any styles or trends you admire, and the occasions you need outfits for?

[Alyssa]

Oh, my God, I love this.

[Sina]

I feel like you could dive into a hole.

[Christina]

Yeah. It's getting to know you. It's getting to know.

[Sina]

Oh, yeah, yeah. Maybe I shouldn't type in anymore.

[Alyssa]

Yeah, well, I think it's cool. Christina, your point about it being automated. This. I don't know if this really adds to the conversation, but I've heard a lot, like, a lot of the talk around AI and its use now is like using it as a second brain. This is kind of like what we're calling it now. Right? So it's almost, it's almost like, yeah, what would you. For me, it's more about the automation. I, I totally agree with you. It's like, what would you need a second brain for? Like the bits that you don't want to think about. If you enjoy the creative process, then, Then go for it.

[Christina]

But yeah, like, I wouldn't want to rely on it solely because then I feel like I would lose that muscle.

[Alyssa]

Exactly. Yeah, exactly.

[Sina]

Yeah.

[Alyssa]

Also, just out of. I don't know if this is true because it came from the Internet, but I read that AI to get an answer from ChatGPT is. Has a bigger carbon footprint because it requires more of these, like, data centers or whatever, like the machinery and stuff, servers and whatever.

[Sina]

That's an interesting point of view.

[Alyssa]

Yeah. So depending on, like, also where your values lie, that might also depend on your usage of AI and, and everything like that. Like when you type a question into chat GPT versus when you type question to Google, the carbon footprint is like, I, I don't know how much more.

[Sina]

That's so interesting. Yeah, I guess I, I bet it's probably even higher than any of us can imagine. I, I've seen other, like, creators talk about the, the carbon footprint of like, you know, technology and just having images on your phone, for example. I find that quite interesting because I think we all just kind of see it as like a free. Like it's just in the cloud. Like what it. It's.

[Christina]

Yeah, it's just flu.

[Sina]

How can that have an impact but of course it has.

[Alyssa]

That's what I was thinking. I was like, doesn't the Internet exist in the air? Like, I don't know.

[Christina]

Sorry. It's your scientific engineer.

[Alyssa]

I'm just kidding. It doesn't exist in the air. But, you know, like, I'm the same.

[Christina]

I don't know why the cloud, right.

[Alyssa]

Like now everyone's going to be like, how do I fucking it every day?

[Christina]

Ask Chad GPT how the Internet works.

[Sina]

Ask Chat Chat qbc how much carbon footprint it. It emits.

[Alyssa]

Yeah. The irony. That's the irony. I'm so sorry.

[Sina]

What is.

[Alyssa]

Yeah, I actually. What is the CO2 anyway? I don't know. So I don't know if that's true. That has to be fact checked. Maybe if there's an article or maybe.

[Christina]

I've heard that too.

[Alyssa]

That you have. Okay.

[Sina]

Yeah.

[Christina]

So filters, do they help or do they hinder?

[Alyssa]

Yeah, well, yeah. What do you. What do you guys do think? Did, like, Christina, did it help you or it just made you confused?

[Christina]

You were like, no, I was more confused.

[Alyssa]

Yeah, you should have.

[Sina]

You should have done it the other way around. You should have done the filters first and then gotten a color analysis maybe, so that you weren't like, influenced by.

[Alyssa]

Right.

[Christina]

Yes. I think there might be some of that bias too. Like that I already knew my color palette, but I just found it really funny. Kind of like it all kind of looks the same to me doing that filter. Like, it doesn't. I don't know.

[Alyssa]

Yeah.

[Sina]

And I think another thing is with color psychology, like, we all perceive color differently. Not just the way, like in an emotional way, but we all have different. Our eyes function in a different way. So I guess that's why I can really stir up, you know, really, really strong opinions sometimes. Like, we, not two people see the color. Like, we don't perceive colors the same way. So that's why. I mean.

[Christina]

Yeah, yeah. It's that or even just like the camera that you're looking at and stuff like.

[Sina]

Yeah.

[Christina]

I always talk about how, like in this, on my webcam here, I always feel like this camera makes me look so pink, but I'm not this pink in real life. Yeah. So I don't know. For example, stuff like that.

[Sina]

Yeah, yeah, yeah. There's something to that as well. Yeah.

[Alyssa]

Wow.

[Christina]

So I don't know. Yeah, there's something to be said about irl.

[Alyssa]

Yeah.

[Christina]

Instagram versus reality.

[Sina]

Yeah. I mean, because even when you guys, you both work as stylists for the index app, right. So when you have when you do styling sessions, it's. It's still based on a real person's wardrobe and it's still real items that they've cataloged into their profile. Right. So it's not completely just AI generated.

[Alyssa]

And there's a form that they have to fill out. So it's like they give you get a little bit more information about the person and their motivation behind doing it, so you can kind of get a sense of who they are and.

[Sina]

Yeah.

[Alyssa]

Yeah. Anyway. Yeah.

[Sina]

And I also think, you know, it's. We don't have to automate everything just because we can. You know, it's.

[Christina]

Yeah.

[Sina]

It's kind of like those jobs that disappeared over time because it got automated or it got taken over by robots and you know, that kind of stuff. Yeah. Do we have to do it just because we can? Yeah.

[Christina]

And I can feel like that.

[Alyssa]

Great question.

[Christina]

Like, the whole rope, like, in that aspect, I can see, like, how if it's like a repetitive, repetitive motion or to prevent repetitive strain injuries, stuff like that. Like, I feel like that makes total sense or an efficiency standpoint, like how fast this thing can do the same job. But when we're talking, like, all of this requires a human interpretation and a human perspective and analysis that I don't. Again, I don't know if a computer can fully do.

[Sina]

No. And I mean, they have, like, again, index, just as an example. They have several different stylists and I guess you, as you can choose whoever you want based on who you feel drawn to and you will value that the opinion of, like, people might choose YouTube for different reasons and because you want. Okay, maybe I want Alyssa's opinion or maybe I want Christina's opinion on this. You don't get that with a computer.

[Alyssa]

No, excellent point. Also, I really hope I didn't sound like a pick me girl when I was talking about how I haven't tried the apps. I'm really sorry.

[Christina]

No.

[Alyssa]

I say things that I.

[Sina]

Anyway.

[Alyssa]

Okay. So I apologize.

[Christina]

No.

[Alyssa]

Okay.

[Sina]

Not at all.

[Alyssa]

Okay, so let us know if you've used any of those color analysis filters. Your thoughts on AI. It's such a fascinating conversation. I'm sure it won't be our last. Let us know. Always give us a thumbs up comment rate, subscribe all the things and we will see you in the next episode. Ciao.

[Sina]

Yeah. Thank you so much for joining in our conversation this week. If you're enjoying the show, we'd love it if you subscribe to the podcast on Spotify and Apple and leave us a rating and review. It's one of the best ways to support the Sustain this Podcast at zero cost to you.

[Christina]

We're also a community led podcast, so if you have any questions for us, topic requests, or even guests you want to hear from, please send us a DM on Instagram @ Sustain this Podcast. We read all of our comments and look forward to hearing from you.

[Alyssa]

We hope you join us again next Tuesday where we'll talk about so much more than clothes.

[Sina]

Ciao.