In short
a16z Podcast Episode Notes: Beyond Avatars: How AI is Reshaping Online Identity
Podcast Summary In this episode of the a16z Podcast, hosts Sinead Bovell and Danny Postma delve into how artificial intelligence (AI) is transforming online identity and modeling. They explore the evolution of digital influencers from the early days of CGI characters like Lil Miquela in 2016 to today's AI tools that enable anyone to create their digital persona. The discussion covers the impact of AI on creativity, self-representation, and the future of the modeling industry.
Key Themes and Topics Covered
Introduction
- Transformation of online identity through technology.
- Overview of the shift from CGI to AI-generated digital influencers.
Key Insights (03:08)
- AI tools allow almost anyone to create digital influencers.
- Exploration of the implications for self-representation and modeling.
The Photo Studio of the Future (08:00)
- Discussion of new AI tools in modeling and content creation.
- Potential democratization of creativity and modeling.
Technology Utilization (10:58)
- Current uses of AI in modeling and fashion.
- Overview of programs and models behind AI-generated content (deep fakes, etc.).
Realism in Today’s Content (12:36)
- Evaluating the authenticity of AI-generated images.
- Discussion of how "real" current content actually is.
Cost and Accessibility of Virtual Models (15:29)
- Financial implications of using virtual models versus traditional models.
- Cost-effectiveness of AI-generated images for businesses.
Industry Benefits (17:13)
- Enhanced creative opportunities for brands and businesses.
- Accessibility for smaller brands that cannot afford traditional modeling costs.
Market Appetite and Evolving Tech (19:28)
- Increasing demand for AI-generated content in various industries.
- Trends in the adoption of AI technologies in fashion and modeling.
Unlocking New Creativity (25:15)
- New tools allow for unprecedented levels of creativity and personalization.
- Potential for AI to redefine boundaries in fashion design.
Future Predictions (28:38)
- Anticipated trends and changes in the modeling industry.
- The role of AI in shaping future representations of identity.
Keeping Up with Technology (30:23)
- Challenges of staying current in a rapidly evolving landscape.
- Importance of continuous learning and adaptation.
Finding a Moat (32:02)
- Discussion on market competition and barriers to entry for new creators.
- The significance of differentiation in a crowded space.
Stacked AI Models (34:09)
- Insights into the complexity of modern AI tools and models.
- The layering of different AI technologies for improved outputs.
Running Your Own GPUs and Models (35:25)
- Basics of deploying AI models for personal or business use.
- The democratization of AI tools for individuals and businesses.
Product Ideas (37:33)
- Potential applications of AI in various fields beyond modeling.
- Exploration of creative projects that could emerge from current technologies.
Key Takeaways
- Democratization of Creativity: AI is enabling a broader range of individuals to express themselves creatively online.
- Cost-Effectiveness: Virtual models are significantly cheaper than traditional models, making them more accessible to smaller brands.
- Evolving Industry: The modeling and fashion industries must adapt to technological advancements or risk being left behind.
- Ethical Considerations: The rise of AI-generated content brings forth ethical questions regarding authenticity and representation.
- Continuous Learning: Industry professionals must stay updated with technology trends to remain competitive.
Resources
- Sinead Bovell on Instagram: [Sinead Bovell](https://www.instagram.com/sineadbovell/?hl=en)
- Danny Postma on Twitter: [Danny Postma](https://twitter.com/dannypostmaa)
- Headshot Pro: [Headshot Pro Website](https://www.headshotpro.com/)
- Postcrafts Projects: [Postcrafts Website](https://www.postcrafts.com/)
Conclusion This episode highlights the transformative role of AI in shaping online identity, modeling, and creative expression. As technology continues to evolve, so too will the landscape of representation and creativity in the digital space. The discussions between Sinead and Danny provide insights into the future of these industries as they navigate the challenges and opportunities presented by AI.
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Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00I barely sleep at night because every time I wake up the next morning there's something new that's lost. In the archivinevation, a few years can feel like a long time or no time at all. Because early on things move slow. People ask, are we there yet? And also jump to point out that we're not exactly where people thought we would be. But when technologies hit that exponential phase, things move really quickly. Sometimes, so quickly that we forget that tools like mid -Journey or stable diffusion literally did not exist one year ago. Now in a recent episode, we discussed the first wave of technology used to build digital influencers, and we did that with the creators of Lil' Mikaela.
0:43Mikaela was a first mover and she was built in 2016, but at the same time, she was built with CGI. But today, we're actually presented with an entirely new set of tools, these AI tools, that give almost anyone the opportunity to build a digital influencer of their own. So in today's follow -up episode, I thought it'd be interesting to bring in two new voices, seemingly from different worlds, but also converging on one topic. That topic being, how does artificial intelligence fundamentally change the way that we all represent ourselves online? The first voice is Shanei Bovell. Shanei describes herself as a futurist, but she also wrote an article titled, I am a model and I know that artificial intelligence will eventually take my job.
1:29But here's the thing. She wrote this three years ago, which again, depending on the prism that you have on the world, can both feel like yesterday and forever ago. Our second voice is Danny Posma. Danny has explored the many ways that AI can reshape how we express ourselves online by building the tools to actually enable that. So that ranges from the memes that we post to the tattoos that we put on our body to the headshots that we all post on LinkedIn. And over the last few months, yes, months, not years, he's created seven different projects. And that ranges from the things I just mentioned, tattoos, memes, headshots, but also a virtual modeling agency.
2:10And honestly, if you've been on AI Twitter recently, I can almost guarantee you've seen at least one of his projects. So we brought in Shaneid and we brought in Danny and together we explore how these tools may impact the world of modeling but also creators and just about any forum that we as humans show up online. We'll discuss the deflationary nature of these tools, what they unlock, how to build a moat and so much more. And I'll also say that Shaneid unfortunately had to drop a little bit early but Danny stuck around with us till the very end. Alright, let's get started. As a reminder, the content here is for informational purposes only.
2:46None of the following is investment, business, legal, or tax advice, and please note that A6 and Z and its affiliates may maintain investments in the company's discussed in this podcast. Please see A6 and Z .com slash disclosures for more important information, including a link to a list of our investments.
3:12I'm so excited to have you to online today. As you both know, we did an interview with the creators of Loma Kayla just before this. And Loma Kayla started in 2016. And now it feels like we're going through a second wave of sorts. It feels like maybe anyone can create these characters online. And that could be characters that are net new, that are not necessarily representative of them. or it could be representing their own personality, their own likeness in a new way, using, I feel like the technology of the year, AI. So before we get into that technology and what people are building there, Shaneid, you wrote an article in 2020 with Fogue that I feel like was really prescient.
3:56It was called, I am a model and I know that artificial intelligence will eventually take my job. And here we are in 2023, maybe this does not sound surprising three years later, but back then that was a statement. So tell me a little bit more about that article and what inspired you three years ago to write it. Yes, so I also worked as a futurist. So a lot of my time is spent varied in data tracking trends. I had come across a company called DataGrid using a form of generative AI called adversarial networks. We would know more formally or informally as deep fakes. If this technology can so accurately create artificial identities, artificial beings, what industry could that have a lot of ramifications for?
4:42And the clear cut for me was fashion, especially when it comes to e -commerce, a line or a segment of fashion where it's not necessarily about these creative big movements for a fashion model, but instead just small variations in the posing. And that in some ways is somewhat robotic already. We don't have a lot of variability into the types of poses we can do or the things that we can try when it comes to e -commerce. It has to look good on a website. And so that, to me, was a very clear trend line that I was able to draw. And I did also see, as I was reaching more and more, fashion companies like the Lando, a big e -commerce giant in Germany, also researching the technology.
5:21and then when you combine it with a little Mikaela was also a big influencer back then. This was like 2019 when I started to research all signs pointed to a future where society might be okay with artificial beings representing clothing and where it could be a much more cost effective future for fashion companies. Totally and we're seeing this be extrapolated not just to fashion and we'll get to that but I want to hear when you wrote this article what was the response and maybe break that down both by the people in the modeling industry and then also outside. Yes. It was definitely a shock to a lot of people and I think for a long time, even though technology has always disrupted fashion, whether that's e -commerce or whatever it may be, nobody was really talking about the impact of automation on creative jobs at that time and especially not fashion modeling.
6:12So the fashion world, a little bit of fear, I would say, in the modeling world. But I also tried to, I don't want to just drop kind of fear mongering things and leave everybody, defend for themselves. Same things like it isn't just models, right? Everybody's going to have to prepare for the future of work. So providing that perspective, I think was a little bit reassuring for people. But the amount of responses I received, and not even just in the modeling world, people in advertising, photography, all sorts of surrounding ecosystem, ecosystem players in the world of fashion that will inevitably be impacted by a world where we can digitally generate photoshoots.
6:49The article was received as something highly likely, but I think people couldn't conceptualize how this transformation would actually come about. So it became suddenly true for people that okay in some way modeling might be impacted by AI. Like other industries would be, but they couldn't actually understand what that could actually look like. It became hard to see how that would materialize. And then now in this kind of explosion of generative AI, it's like all the light bulbs are going off, connecting all of the pieces. Yeah. And as I said, it's not just models. I think a lot of people, as you said, it's materializing where they're seeing how these tools today are already maybe not replacing them, but are able to do things that they previously thought they were safe from the advancements of these technologies.
7:38In fact, that was really how people viewed it. They were like, if you're creative, you know, that's where the robots are unable to match you. And we're now seeing that maybe that's not the case. And so, you know, talking about some of these tools, Danny, let's move on to you created many different projects and we'll get into more of them. But one of them was really, you know, this like photo studio of the future is modeling agency where you really could spin up a model, put them in these different backdrops, drop in your product, things like that. And so you posted this a couple of weeks ago and it went really viral.
8:11I think one tweet in particular reached like two million people, but you also, I think saw maybe similar to Shnade's article, a range of responses. And so tell us a little bit about what that product was, but also how people responded to it. I've been doubling with different kind of projects and it all came together and I made this tweet My product wasn't ready yet deep agency the treat went absolutely viral So we didn't 24 hours. I had to come up with something to put life because otherwise there was in the website aligned I think it went for you all got 30 million views as a modeling agency and it's nowhere closer that I think There's a lot of other tools that are way better doing those kind of things But yeah, as you said like all the technologies coming together right now all these different kind of models the ability to generate deep fakes, like none existing people, but also the ability to put the clothing on those kind of models.
9:02It's like all these separated tracks of development by researchers over the last past years that are all coming together in 2023, turning into tools like this. Since you've been kind of like in the bowels of these tool, Danny, do you think, you know, let's say like a year from now or maybe even five years from now, is it realistic that basically you can represent what But the modeling industry does today or what influencers do today with these technologies and have it be pretty much like a one for one or a match in terms of it being as good. So what I'm able to do right now, what others are able to do right now is the ability to use Dreamboof, which is technology to train an AI on top of someone's face and you can basically make a clone, a digital trainer, whatever of someone.
9:46There are other models called StyleGen, which basically are trained on millions and millions of fair photos and they can generate phases and heads that do not exist at the moment. They are non -traceable, they don't exist. Combine those two and you can train a dream booth model on a non -existent person and create a model for example. And then there are other deep learning models that are able to make a, and I believe the name is like a top -down photograph of a clothing that's not being worn by someone. And the AI knows how to put that clothing in kind of the folding ways to put it on top of someone's body, being able to like dress the model in that kind of way.
10:24So the technology is there at the moment, I believe. It's up to a company that understands the fashion industry to take it to the other level. Well, I love that point because there is, you know, this sense of taste of the people in the modeling industry are not just the folks who look a certain way or able to hold a camera a certain way, but they do have this background, this understanding of aesthetic and social aid. Tell me a these companies are using this technology today? Are they leaning in and saying, oh, actually, this is really valuable. We're going to utilize these new tools because we are in this new era, or are they kind of resistant to this new wave?
11:03Yeah, I think it kind of depends on the type of fashion company. So if you look at e -commerce and a company, although we might not be as familiar with Zilando in America, they're quite a big fashion giant in Europe for them to be researching this technology and showing very viable proof of concept as early as 2019. We know that fashion companies are exploring this and we can also say a company like H &M, they have thousands of data scientists that use AI to do things like forecast trends and understand and analyze supply chain. So they already have some of the infrastructure to deploy the next advancements in what the industry will be adopting.
11:43I would say where we might see a little bit more resistance is potentially in high fashion when it comes to using AI for things like design, although I do expect as any tool, it will eventually be adopted. But I would argue that there's probably been instances where any of us on this podcast right now have come across an AI model and just not realize it, shopping online. So I think the technology has been here for years, it's 2023. Companies were investing in it in 2018. It's largely here, it just hasn't materialized as broadly at scale yet, but that's coming. I think maybe one pushback people might have is like, okay, if this thing is AI generated, it's not quote unquote real.
12:27But how real are the photos that we're seeing today anyway? Like ignore the digital virtual influencer concept. The photos that we're seeing on a billboard, like how Photoshopped are those, how real is the end image that we're seeing today? I feel like there's a degree of fabrication already. And so maybe you could just kind of speak to that concept and maybe again just like the natural pushback for us to say Well, this is not human anymore, but how far passed the original photograph where we already? Yeah, I mean that also depends on how representative the models are of society So it could be argued that it is hard to find examples of diverse representation in the fashion industry as it stands today And so therefore seen a piece of clothing on somebody else How helpful is that if your body is a different shape or you couldn't conform to the clothes in the same way.
13:15And in terms of the actual shoes themselves, of course there is a lot of pinning and last minute stitching and things to make things appear to fit a certain way. And then of course the Photoshop part towards the end. I am not the person on the computer doing the Photoshop. So I couldn't tell you exactly how much Photoshop there is. And the day, yeah, an image definitely does get altered. So it isn't entirely like this documentary style photography where it just goes specifically from shoot straight to market. But at the same time, there are interesting social and cultural trends that are converging.
13:49The idea of photoshopping images is becoming a little bit more taboo. People are speaking up against it, that they want to see maybe some of the stretch marks or the cellulite or the acting of the things that make people human. And so it's interesting that those have the social and cultural trends are appearing at a time when we're arguably becoming less human in some ways or how fashion and culture is represented is becoming a little less human. Yeah, I mean, I think maybe one of the most interesting aspects of AI is that you can really prompt it to give you whatever you want. And so you can prompt it literally to say, hey, I want this person to have acne.
14:23I want this person to be of my race or culture or gender. You can really prompt it to give you whatever you want. But at the same time, I think there is this yearning for what people again call real. And I think that term is going to take on a whole new dimension as we look forward. But the last thing I want to ask just as we talk about fashion and modeling is maybe a sense of the cost. The cost differential is something that ultimately plays a role in adoption. And so Danny, let's just use an example, right? So you have this AI model, this person doesn't exist. In fact, you did create one of these.
14:55Her name is Alice and people can find this model at this model does not exist .co. I believe and we'll link that in the show notes. Let's just use that as an example. If you wanted to do a photo shoot with Alice, like how much would that cost? And let's break that down between like actually training the initial data set or the initial face and then actually generating a bunch of images. Let's just give the audience a sense of what that takes. So currently to deep train a model on someone's face to be able to generate photos after that, it costs 60 cents to generate this. Okay. Yeah, so not even a dollar.
15:32And then I think per photo, you're at a fraction of a cent right now. So you could generate hundreds of thousands of photos for less than 100 bucks. So technology is pretty cheap already in that sense. So I believe this is from what I've seen talking to customers, people. The number one question in my life, is from mom and pop shops with clothing brands who do not have the funds to hire models to put on clothing for the web shops. Who I think probably wouldn't even ever be able to hire a model to do the photoshoots for them. So I see this as it's like democratizing for the lower spectrum of these small business, enabling them to do the fashion shoots.
16:15And yeah, I think it's mostly for those kind of consumers that this is interesting to do. Yeah, and there's other applications of that. Like I did a presentation recently, and I used mid -journey for all of my images within that presentation, and I probably would not have had those images. I wouldn't have hired someone at the very least to go create them. And so there is, as you said, this democratizing force, this ability for folks that didn't have access us to a specific technology to use it in these new ways. Shaneid, let's hear the other side of that. Maybe perhaps some of these folks who are models may not be hired for the same roles, or maybe they will still be.
16:54And in the case where they are, what are the benefits of all this? Like, can you do a bunch of shoots where your avatar is, quote, unquote, attending those shoots without you actually physically being there? Can you save a bunch of money, fuel and not traveling? Can you actually upgrade yourself in some way? I'm just throwing ideas out there, but how might this actually change the industry for the better? Is there a world in which a model can be in multiple places at one time and therefore increase their income stream and have more assets of themselves to the out in the market? Absolutely. That could be quite profitable, quite lucrative if the industry does evolve that way.
17:36in a world where we want to see the same influencers and people we look to in fashion to continue to be the face of brands and the clothing. But if you look at the history of technology, technology is often quite deflationary over time, especially when it comes to wages. So in a world where a model can be in multiple places at one time, yes, they may be able to have more revenue streams coming in, but do we see downward pressure on prices? Because a lot of it's created digitally and there's an increase in supply of identities that could pass for being human. And so that's where things get a little bit gray and a little bit ethically red flags and kind of cautioned, because I will say again, it's not that this is unique to modeling.
18:21We're going to see this across the board with AI. It's going to put downward pressure on a lot of different wages from modeling to programming. But But that's where it becomes a little bit challenging. And then what is uniquely applicable to modeling and maybe acting is that not only are people getting automated, but their likeness and the communities they represent are also getting automated, but someone is still benefiting off of that very specific identity. So that's where it starts to become a little bit gray. Yeah, I mean, it's great. I mean, it's going to be interesting to see how that all evolves if, you know, like what regulation gets put in place, what IP people own or do not own that goes into these models on the topic that this really does expand past modeling.
19:08I think what's fascinating, Danny, is you've really went on this sprint over the last few months you've created. I mean, I'm just going to name some of the projects you did tattoo's AI, which is, you know, AI powered tattoo artist. We mentioned Alice, this model that does not exist that you created. You started, I think, or one of your early projects was Profile Picture AI, which is similar to Lensa, which most people would recognize. We talked about deep agency, meme morph. People can morph themselves into their favorite meme. And then most recently, you're working on headshot pro, which is basically people can create their next corporate headshot, or a company can create a kind of wave of headshots for their entire staff.
19:46And so among those projects, first just kind of tell me what you're seeing as you've launched these projects, what people are getting excited about, what you're getting a lot of traction with right away without maybe perhaps even trying and where actually, you know, this technology may be interesting, but it feels more like, you know, a track uphill, if that makes sense. Yeah. So first of all, like the whole reason this skills really fast for me, this gets a lot of the attention because it's indistingual for magic at the moment. You upload a few photos and suddenly you get hundreds and hundreds of provo pictures out for it.
20:21So this is why people keep sharing it on Instagram, on TikTok, it goes viral really fast. The second, like I think what mostly gets solved at the moment is I get a lot of messages from folks who say I don't have any provo pictures, I don't have any photos and suddenly I can look really well online and this is one of the major selling points for headshot, for example. Well, like me, for example, I hate going to photoshoots because I always look super awkward. I don't smile. So for them, this solves the next issue that they can look good on their LinkedIn. The same one with Provo picture, you can turn yourself into whatever you want, Lancet showed how popular that could be.
20:55I believe Lancet did $40 million with that. I like this as an art. I like to double with it. I like to try things out. I get an idea. I have to work it out. It gets easy and easy because it uses the same technology and the headshot has been the biggest success, traffic wise, financial wise at the moment. For remote teams, which is branded at the moment, like good luck trying to get a photograph. If your team is remotely and you have people in Asia, America, Europe, and you want to get the same photo style, like you cannot sense a photograph all around the world to get the same style. But everyone can upload a photo, train an AI model on them, use the same styles to generate it, and basically everyone gets the same headshot for that team.
21:34If you're creative enough in it, you try enough. There are use cases that people think it's gonna take away the photograph, but I think it's gonna enable different things that weren't possible before with this technology. Like having a photograph everywhere in the world, trying out different hairstyles, for example, things that weren't able before that are enabled now by this technology. Yes, kind of crazy. If you go to Hedgehog Pro, I think you have this live counter. And last time I checked it said 450 ,000 plus headshots were created and that's just. I think it's a million now because I have to manually update it in this two weeks life now.
22:12Yes. I was going to say I just checked it last night. You kind of alluded to this but there's ways that people are using this product like you're creating these projects and you're releasing them into the world and you're kind of tinkering and thinking oh maybe people will use it in this way. But I've seen you tweet about the fact that you've actually been surprised that as you release this tool, people are using the tool in ways that you didn't even expect as the creator. Well, that's like with Provo Picture, our learns from the headshots and demapshills because we used to do only these artsy styles and people kept requesting, hey, can I get a LinkedIn photo for myself?
22:45So we kept tinkering it with that way. Yeah, and just on the note of what people are being drawn to, I think maybe one way to have a pulse on that is what people are willing to pay for. And so among your projects, have you noticed any trends there in terms of things that people almost seem allergic to? Like, oh, this is cool. This is novel. But like, I'm not going to pay you $30 for that versus maybe the headshot example is something that people have ingrained in their mind. Like, oh, a headshot is worth $x dollars. So it probably actually started pretty expensive at the time. And I've been lowering the price lower, lower, lower.
23:19And I think we're almost around cost price at the moment. Five dollars to generate them. So, yeah, Lensa basically killed the whole market after their wage life. Right. So, yeah, I think mostly now it's the high quality output and I really wonder where we're going to go in the next few months because these models keep releasing, keep releasing, like I barely sleep at night because every time I wake up the next morning there's something new that's launched that already makes the whole technology obsolete. It's going so far so I don't know where it's going to end up. Well, I know I feel like a lot of people would agree with that sentiment that it's moving so quickly.
23:52It's so hard to keep up on the note of it evolving though, right? These new models are being released all the time. What ways does this really change or shape the way that people can represent themselves online? I think if you use a Hedgehog example, that's kind of a one -to -one parallel to what we did before this technology existed. But maybe what are new, exciting ideas that people can look forward to. I mean, one example of this in fashion is I can't remember how long ago this was, but like Bella Hadid's spray on dress was like a new concept within fashion where people are like, wow, we have this new technology that fundamentally changes what we can create.
24:29So, Shannade, maybe I'll start with you there, but any ideas on how this really, again, doesn't just replicate what we've done before, but maybe unlocks a whole new wave of creativity. On the one hand, it puts design tools in the hands of people who wouldn't have been able to step into the market. And so what does it look like to have an AI system that's been kind of refined on a certain style that you like, that you're able to kind of tweak, and then digitally apply those images to your body or your photograph. So maybe you can't really afford the high brand luxury fashion, but you can generate your own version of luxury using these systems and digitally apply the clothes to you afterwards.
25:10And I know that the digital application of clothes has been something that's been seeming to be in the pipeline for the last few years, but now it really is possible to retrospectively apply clothes to images. And if you look at what the internet and social media did to fashion, we saw the birth of all of these small brands that finally had a shot. In some ways it actually became really cool to be the undiscovered brand that suddenly kind of, you know, was discovered and then popped off by a certain celebrity figuring them out. Imagine what happens when more of us get access to these design tools.
25:42Fashion is really communicator of culture, and now we can push the bounds on that. Almost infinitely, where we conduct photo shoots, who gets to be in them. When we go digital, things change a lot. Of course, again, there are ethical challenges that come with that. Even things like copyright, am I allowed to be inspired by Celine, for example, have an AI system look at the latest collection, and then say, They put me in clothes that look like the latest Celine suit and shoes, but it's not Celine. Where does the IP go there? And are there real designers on the line who may see knockoffs at a whole other skill than we already do?
Read the full transcript
26:21So we do have to figure out what are the boundaries of this technology, where does IP start and stop, and the world would have a lot more digitized. But I think the what could be possible and who gets to be a designer, I think could be really interesting. Definitely. Danny, what about you? Anything come to mind in terms of how this technology may be unlocks a new wave of creativity or new opportunities. Photoshop shaped up this whole industry where suddenly you could make photos and you are adjusting it afterwards. So you would make a photo and Photoshop was the post -production. I wonder how AI can do something and I think it's going to go there.
26:55How AI can be the pre -production. Whereas you generate the photos, you can do the real photoshoots to solve for missing content that you cannot make with the AI and then have Photoshop stitch those pre -generation and post -generation together. For example, what I would think for Hedgehog Pro is like the customers who get the best output from me did a photoshoot themselves. very basic photoshoot on a white screen, train the AI on the photos and then I could generate hundreds and hundreds of photos in a park, in a office, wherever they want to be. So wonder if headshot photographers are going to transition towards generating really, really high quality training images, for example, and then use AI tools like the next Photoshop to put their customers without having them to go outside, having to go whatever, make the perfect photo for themselves.
27:44And I'll also add to that, I think where we each get to be the model in the shoots that we see. So instead of just looking at the campaign, there might be an interactive auction where you could drop in your own virtual twin to see how you would personally look in that image. And I think that that could be really, really interesting. And maybe you would even look after it in terms of how things that likely fit on your body if we could get the physics of clothes right online. And I wouldn't be surprised if any social media is going to do this soon, because Instagram already has photos of your face, right?
28:15They could already train a model on your face in that kind of sense and you could put the clothing on it that they put in their shopping car or so for example. So I think so as you meet the platforms are going to integrate this in a few years or within a year for example. This is going to be reality. Yeah, I mean, I think if anything will at least learn a lot about our own preferences because I don't know about you. I don't want to see, I don't want to see my face online everywhere, but some people might, but also you might learn about what you do want to see. What kind of person do I want to see modeling in front of me online?
28:44Right now I don't have that option to decide. But as we do get more of these options and I think what both of you are pointing towards is like we have with these tools eventually more say and it'll be interesting to see how people utilize that say, right, how they want to participate in that ecosystem. And I think we'll learn a lot both individually but also as a society about what we want to see because previously there weren't so many people involved in making that decision. One place that would be great to end off is, I mean, both of you have voiced how quickly this is moving, right, in your respective spaces.
29:19And by the way, respective spaces could mean shenanade you as a model, but also as a futurist, Danny that could mean you as an indie hacker, could mean to developer as a nomad, as this evolves in many dimensions. What are you doing to quote unquote, keep up? And you know, you can interpret that as you'd like. I spend a significant person of my day buried in and academic white papers to see what is likely coming down the line in the next few years and kind of plotting those trend graphs and those trend lines. But I also feel a little bit of a responsibility to bring other people along with me and to make sure that these conversations are accessible and digestible to everyone.
29:57I think we all have a right to learn about and try to shape our own futures and it becomes really challenging. It's only the same few people invited to the conversations all at the time. For me, I'm completely relearning how to program different languages. I'm learning Python, learning all the things to develop it. Also for me, I'm doubling in all the white papers. I don't have an academic background. So I'm using chat GPT a lot to summarize those things and understanding it mostly. What I enjoy the most is most of AI and machine learning. As Shinnat said, it's in academic papers, totally un -unassendable for the regular people, especially me too.
30:31So I like to try things out, make tools out of it. So it's more compensable for the regular Joe. My following on Twitter has grown a lot by just showing what is possible in those kind of sense. It really is what I enjoy doing. So very little sleep and a lot of building and trying out. Well, I think your Twitter following has grown because like you said, there's just so much appetite for people to follow along and try to understand what is happening. And I'm also just curious because you work quite early to the stage here, especially with profile picture .ai. It's kind of crazy to think about that was not that long ago a few months ago six months ago October I think it's not even been a half years since all this tech is out Yeah, and it feels like forever ago that seems like a perfect example of where you were early But then to your point it moved so quickly this world moved so quickly that ultimately lensa came in Lensa I think ended up, you know if you were to declare a winner not like it actually works that way then lensa I would.
31:32I took a majority of that market share and I think a lot of people also have the question as a debate whether to build with these AI tools is well, if it's all based on the same model. Then, you know, ultimately do I have a moat? Do I have anything that actually will stand the test of time? No, I got a really good wake up call because every indie haircut like we like to develop right we like to build things. We don't do marketing and seeing lenses swooping one month after we actually launch this already and just did our revenue in one hour or something like It's a wake up call for a developer.
32:04You got to do distribution is everything marketing is everything. It's really important It's always been important with product launches and especially with AI where you have less of a moat hiring Tiktok influencers letting it post it and it's going really fast due to it But I think someone is gonna come out who has a way bigger budget for that and that in the sense like you shouldn't build on a hype So what I'm focusing on mostly now is SEO, building tools, getting backlinks, trying to get it to stand the time longer than just a hype, focusing on something small, some small problems to solve and do your marketing, do the distribution, don't just build, you got to sell it.
32:43What might people not realize is surprisingly hard. And so maybe one simple example of that is as you're building these models, everyone jokes about the hands. I think that's being solved, but I think there's probably infinitely more things that you've encountered as you're building these projects that like again people see the end result. And they're like, Alice looks amazing or like deep agencies working for me or what a great headshot, but what might people not realize if they haven't built these tools is actually again really, really hard. So it might look easy on the inside, like on the outside.
33:17Okay, you upload some photos in 20 minutes, later the photos are done. But actually, so profile picture was just dreambooval. There was no mode on it. And what I'm doing with headshot is basically, it's 15 different AI models stacked on top of each other in like a sequence of doing things together. Like their custom models build right now. So you said 15. Yeah, I think it's at the moment it's 15 different AI models. Wow. Doing things on top of each other to optimize the photo quality, to optimize the training, upscaling, generating. If you wanna go more unique, yeah. I didn't know Python, I didn't know machine learning, I had to learn all those kind of things so I could build my own models in that sense.
33:56What's surprisingly easy these days is what used to be hard is deploying those models, running your GPUs. Used to be really hard, but there's all these startups springing up since I think October, also since the hype. They wanted to capitalize on, okay, AI is hot. what is hard is hosting the models. So that part got released these times. So it's easier than ever to start at the moment. And just for those who maybe are at the very earliest stages where they're like, okay, I want to do this. I want to play around. Where would you start? Like how do you learn how to train your own models? How do you learn to deploy them?
34:32How do you learn to interface with something like stable diffusion? So the easiest way will be to go to replicate .com. They host all the models. You can just select what you want. You could select a stable diffusion, for example. And they have a few simple input fields where you can just type in what you want and then outputs the photo. They make it super easy. They have an API that you could hook up to a no code tool, for example. If you don't want to build it in no code, I believe Sapier. Lones there, stable diffusion integration. So you could just plug that into an email or discord or whatever.
35:03So those two are really easy to get started with by making some simple AI tools. Yeah, and if you want to go deeper, you probably need some code and knowledge, but I think 99 % of the apps you can build right now with API Rappers with no code tools. That's super cool because I think a lot of people who don't know how to code can actually participate in that ecosystem. We kind of veered from the original conversation, but I guess just closing off because you have built all of these projects. How do you think about what to focus on now moving forward? I mean, this ties into our conversation around like what really has a moat what people are really willing to pay for Especially because you are an indie hacker and you do need sleep eventually.
35:45I wouldn't devil any Image generation in that sense because Adop already does it comfort does it already I wouldn't build any chat bots because chat GPT they are shipping I don't even know how to doing it but they're launching something new every week. Well, Danny, they have more than one person like you. Fair enough. But just keep like a startup, which is exciting to see, because they're competing with Google and all the likes, right? No, but I would just pick something, and I'd see something that eases you, that annoys you, where you think, hey, maybe if I put some AI on top of this, it could speed it up.
36:18We're going into a recession, which means people want to save money. So can you save money by removing some kind of step? Totally. And if anyone wants an idea, Danny, I would love if you want to jump on this, but a very simple thing that I still have not seen is the ability to use these text image tools, but in a way where you can basically train it on your own brand. Right? So you upload your brand colors. If you have, you know, let's say a blog with a bunch of sharing images from the past, you train it on that. And I know people can set up their own models to do this, but if there was a self -servergent where any brand today can again upload the constraints and then spit out new images, that let me know if it exists that you've seen it.
36:59That to my knowledge does not exist in that exact form. I'm going to hand up said Bet you that comfort does this in the next three months. Okay. You've been following. Yeah. Okay. Well, maybe, yeah, we'll see if can but does that. But for me, if I if I if I if I can tune in an idea, I would love to see. I don't know if we have time for this. I would love to have so openly I launched a model called whisper, which basically lets you transcribe audio and all these text -to -voice models are getting really, really creepily real. I would love to have someone build a tool where I say, hey I want the top five pose of Hacker News while I was sleeping, the latest news and my favorite people on Twitter and generate me a 100 % customized podcast.
37:42I can listen five minutes while I walk with my dog in the morning, customize it for me. I think that will be really awesome and not even that hard to build I guess. No, I agree. And actually, I've been seeing some folks like there's this guy who's been creating the AI version of the All -In podcast. And he just released the fifth one. But you can actually see how with every subsequent one that he releases, it becomes less popular because at the end of the day, that novelty factor is wearing off. However, to your idea, you're actually integrating that with, as we've discussed, like a problem that you have, which is trying to digest a specific set of information, which is the stuff ranking on hacker news, and actually digesting that.
38:22So that's like a very clear job to be done versus a novelty of just like, let's listen to these fake people talk about fake topics. Yeah, don't build on the hype because you will get some attention on social media and then it fades away for example. Yeah. For some reason this reminded me of back in the day, I knew this guy who used to listen to Spanish as he slept and he was convinced that when he woke up he was better at speaking Spanish. He was trying to learn the language. Did it work? He thought so. I don't know if it did. But anyway, on that note, it's super cool to be watching all the things that you've built.
38:58I think many people would agree with that. Just like the rate of shipping is insane. I'm sure a lot of people are inspired to go create similar things and it's exciting to see what's being built. I want to be sure to agree, thank you so much for having me on the podcast, really, and on it. Of course, well, thanks for joining us.
39:17Thanks for listening to the A16Z podcast. If you liked this episode, don't forget to subscribe, leave a comment. We also recently launched on YouTube at youtube .com slash A16Z underscore video where you'll find exclusive video content. We'll see you next time.
From the publisher
In a recent episode, we delved into the first wave of technology that was used to create digital influencers like 'Lil Miquela back in 2016.
Fast forward to today, we're presented with a whole new set of tools that enable almost anyone to build their own digital influencer.
In this episode, Sinead Bovell and Danny Postma discuss the transformative impact of artificial intelligence on the world of modeling, online creation, and self-representation.
From the rise of AI-generated photos to the democratization of creativity, they discuss the potential of AI in shaping the future of digital expression.
Topics Covered:
- 00:00 - Introduction
- 03:08 - The key insight
- 08:00 - The photo studio of the future
- 09:44 - Programs and models behind deep fakes
- 10:58 - How the technology is used today
- 12:36 - How real is today’s content?
- 15:29 - The cost of a virtual model
- 17:13 - Industry benefits
- 19:28 - Market appetite
- 23:25 - Evolving tech
- 25:15 - Unlocking a new wave of creativity
- 28:38 - Future predictions
- 30:23 - Keeping up with tech
- 32:02 - Finding a moat
- 34:09 - Stacked AI models
- 35:25 - Running your own GPUs and models
- 37:33 - Product ideas
Resources:
Find Danny Postma on Twitter: https://twitter.com/dannypostmaa
Headshot Pro, ProfilePicture.Ai plus all of Danny’s projects at: https://www.postcrafts.com/
Find Sinéad Bovell on Instagram: https://www.instagram.com/sineadbovell/?hl=en
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