When AI Meets Art

30 Jul 2024 · 43 min

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In short

a16z Podcast Episode Notes: When AI Meets Art

Episode Overview Release Date: June 27, 2023 Hosts: Anish Acharya (General Partner) & Justine Moore (Partner) Description: This episode was recorded during the first-ever AI Artist Retreat held at the a16z office in New York City, featuring discussions with founders of AI creative tools and artists exploring AI in their work.

Key Participants

  • Ammaar Reshi - Head of Design, ElevenLabs
  • Justin Maier - Cofounder & CEO, Civitai
  • Maxfield Hulker - Cofounder & COO, Civitai
  • Diego Rodriguez - Cofounder & CTO, Krea
  • Victor Perez - Cofounder & CEO, Krea
  • Mohammad Norouzi - Cofounder & CEO, Ideogram
  • Hang Chu - Cofounder & CEO, Viggle
  • Conor Durkan - Cofounder, Udio

Episode Highlights

AI Artist Retreat

  • The retreat gathered leading figures in AI creativity, integrating founders of AI creative tools with artists, filmmakers, and designers.
  • Discussions revealed surprising similarities between founders and artists, highlighting an interdisciplinary nature in their work.

Insights on AI and Creativity

  • The retreat showcased how AI tools are pushing the boundaries of creativity, enabling higher participation rates in art.
  • Art is seen not just improving in quality but becoming more accessible to everyone interested in creativity.

The Evolution of AI Tools

  • Founders shared their journey of creating innovative AI tools, focusing on unique features and the viral moments that helped them gain recognition.
  • Discussions covered various creative modalities, including image, video, music, 3D modeling, and speech synthesis.

Common Themes Among Founders

  • Creativity and Technology: Founders emphasized that technology is unlocking new creative potentials, allowing artists to express themselves.
  • Interdisciplinary Collaboration: The blending of technical and creative skills was highlighted, with many artists now becoming more technically proficient and vice versa.
  • User Engagement: The importance of user feedback in developing tools that cater to a wide range of creative applications was a significant point of discussion.

Notable Cases of Success

  • Several founders discussed their experiences with viral success, often stemming from user-generated content that resonated within the creative community.
  • Examples included unique applications of AI tools that surpassed initial expectations, showcasing creativity in unexpected ways.

The Future of AI in Art

  • As AI continues to evolve, there is a growing excitement about the potential for democratizing art creation, with many more individuals able to participate in creative processes.
  • Founders expressed optimism about the future direction of their tools, emphasizing continuous experimentation and adaptation to user needs.

Community and Monetization Perspectives

  • Emerging business models and monetization strategies for creators utilizing AI tools are being explored.
  • Examples of successful monetization included marketplace models for voice actors and AI-generated art, enabling new income streams for creators.

Key Takeaways

  • AI as a Creative Partner: The integration of AI tools is shifting the creative landscape, allowing for greater experimentation and accessibility.
  • Community Engagement: Building active communities around these tools is crucial for continuous improvement and innovation.
  • Economic Potential: There is a renewed interest in paying for art and tools, which is reshaping the creator economy.

Conclusion This episode captures the excitement and discussions from the AI Artist Retreat, revealing the profound impact of AI on creativity. The convergence of artists and technologists heralds a new age of artistic expression where anyone can participate and create.

For more insights and to see the artists leveraging AI, visit [a16z.com/aiart](http://a16z.com/aiart).

---

Additional Resources

  • [Follow Ammaar Reshi on Twitter](https://x.com/ammaar)
  • [Learn more about ElevenLabs](https://elevenlabs.io)
  • [Follow Justin Maier on Twitter](https://x.com/justmaier)
  • [Learn more about Civitai](https://civitai.com)
  • [Follow Diego Rodriguez on Twitter](https://x.com/asciidiego?lang=en)
  • [Learn more about Krea](https://www.krea.ai/home)
  • [Learn more about Ideogram](https://ideogram.ai/t/explore)
  • [Learn more about Udio](https://www.udio.com/home)
  • [Learn more about Viggle](https://viggle.ai/)

For feedback, you can rate the podcast at [ratethispodcast.com/a16z](https://ratethispodcast.com/a16z).

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Transcript

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0:01On June 27th, our team headed to New York City. We are at the A16Z office for the first ever AI artist retreat. That was A16Z Consumer Partner Justine Moore. Justine was one of many partners who attended this retreat, which brought together the builders behind some of the most popular AI creative tools in existence. That is, 11 labs, Korea, Vigil, Udeo, Idea Gram, and Civet. Altogether, with 15 top artists. These are the folks who are often doing the coolest things with these sorts of tools. They're kind of pushing the boundaries of what the tools can create. Today, you'll get to hear from many of these AI founders who, together with these artists, are advancing what it means to be creative.

0:48Art is going to get better than ever. The average art output is going to improve, but so is the ceiling. It also is a higher participation rate. Everyone who is interested in creativity can be creative and express themselves. It was just so cool. That was in Nishbacharya, general partner on the consumer team, but that's not all. I've been a founder twice. I've been spinning records as a DJ for 25 years and I'm all about AI and art. So what happens when you put all these investors, leading artists and creative tool founders all into the same room? I mean, the vibes have been immaculate And I think that the thing that's most surprising is how much everyone has in common.

1:27Like the founders are more creative and the creatives and artists are more technical. I think the other thing is just how interdisciplinary it all is. People making video, want to play with generative audio, people making music, want to play with sound effects, it's just incredible to see. One of the coolest things was a lot of the founders had recognized people by their online screen names or new. Oh my gosh, you used my tool to create this incredible song that went super viral. Or you used my product to make this kind of amazing video animation that our whole team was talking about for a week.

2:01These are people who have been interacting with each other often daily online for the past six, twelve, eighteen months, sometimes even two years, but didn't even know what each other looked like in person. Now today, you get a behind -the -scenes look into this event, including the origin stories behind many of these tools, which by the way some have never been shared publicly, and have these tools which have all gone through their own viral moments are navigating this AI wave, and what they see on the horizon. Let's get started. As a reminder, the content here is for informational purposes only, should not be taken as legal, business, tax, or investment advice, or be used to evaluate any investment or security, and is not directed at any investors or potential investors in any A -16Z fund.

2:47Please note that A16Z and its affiliates may also maintain investments in the company's discussed in this podcast. For more details including a link to our investments, please see A16Z .com slash Disclosures.

3:04Here we are in 2024. We're at an exciting inflection where your creativity is being unbounded by the tools available. I mean, we're early, but there's more people making more art and more people making more tools to make art than ever before. And if you kind of look at the history of technology and art, every single time there's been a new technology, the amount of art has dramatically increased. People were worried that drum machines would compete with drummers, and instead there's more people making more music with both drummers and drum machines than ever before. So I think there's a sort of equivalent moment here in technology and art where we're at the beginning of everybody who has taste and interest in art being able to make it.

3:45Many have drawn parallels to prior computing waves, but is this any different? Well, what's different is for the first time we're creating these sort of left -brain things. You know, I mean, computers and computing platforms have really been in the business of precision, and now we're creating products that are intentionally imprecise, beautifully imprecise, so it just feels like a whole different flavor for products and product design than we've ever seen before. So let's introduce you to some of the people behind those products. We have companies here covering basically every sort of creative modality, image, video, music, 3D, speech, all those sorts of things.

4:20That includes Conner, I'm a co -founder at UDO. And Omar, I'm the head of design at Love & Labs. Both companies are focused on audio. With UDO focused on music, while Love & Labs is tackling everything from voice to sound effects. Meanwhile, founders like... Mohammed, I'm the co -founder, CEO at Ideogram. Victor and Diego. Who are the co -founders of Gria and these founders are building at the increasingly sophisticated world of 2D imagery and video. Plus 3D. IDogram for example, let's degenerate AI imagery with accurate text embedded, a surprisingly difficult technical feat. Vigil on the other hand is building at the intersection of video and 3D.

5:03Meanwhile, Gria has come up with a suite of AI tools like upscalers and real -time generation. or in the case of CIVET, a new breed of marketplace. My name is Max Phil Holker. I am COO at CIVETI and co -founder. Yes, I'm Justin Merr. I'm the COO and co -founder of CIVET as well. And CPO and CTH. Lots of things. The joys of Astarda. We are a massive community of people making tons and tons of AI creations using community -made models with community -made patches to those models called loras. We give people the ability to either train on a few specific models So a model focused on anime or a model focused on being semi realistic or they can select their own custom model to train on top of With AI moving so quickly, it's clear that we no longer live in a world of just chat GPT and mid -journey numerous companies have springboarded into the site geist and grown at unprecedented rates So we thought it was fitting to take a step back and document this whirlwind of a journey And while many of these founders have been quietly working in research for years, their origin story often started from scratching their own itch, Muhammad for 5 -8 grams.

6:12I guess part of it is that there is this thesis that everybody has an innate desire to create. And as humans we have this inner creative child. The education system sometimes kills this creative child unfortunately. and what's finally possible with technology and AI is to help people express themselves visually and creatively. So that's the interesting part when you think of using image for communication, then you can communicate much more effectively if you have image and text together. From a Hamad it really was this unique combination of text and imagery. For me, image and video is dear to my hearts and like very personal.

7:01But for Connor, it was his connection to music. Music for me I think is, it's very special medium. It's everywhere all times, like it's in the background when you're at a restaurant at a cafe, you're listening to your headphones, when you're going to work in the morning. It really has an emotional resonance with people. And for me, making that abundance, like the kind of promise of generative modeling is that a lot of this can be far more abundant than it ever was before. And for Victor, it was his discovery that programming itself was the creative gateway. When I discover about programming, that was great to me because I realized that through coding you can also be super creative.

7:33But the moment where I discover about early Genai models like DCGAN and later on, StahlGAN, that's when my mind was blown and when I realized about the creative potential that this technology had, and that's when I fell into the rabbit hole, and I feel like, like, Cria to me, it's been kind of the snowball that it has started with me realizing that you can use artificial intelligence in a creative way. but for a mar, it was building his own side projects and it desired to share what he was learning that actually propelled him into his role at 11 laps. It's really funny actually. I, over the last, maybe a couple of years, started diving into AI tools when Chad GBT came out and started making things on the side for fun.

8:15One of those was a children's book that ended up accidentally going viral and that kind of was my journey into AI. Through that and making that book, I started exploring other AI tools and what I really enjoyed was sharing what I was doing and how I made it. So I discovered 11 Labs and made a podcast with 11 Labs where I was like talking to a fictional figure and we were having a back and forth conversation. That also kind of did the numbers on Twitter and then I was like, I love using this tool. I'm gonna make my own AI short movie. Actually, Justin and I are friends and so I showed it to her and I was like, I kind of need free credits.

8:50Because this movie is using of all the credits on 11 Labs And she's like, you should meet the founder, Maddie. We met, we really hit it off, and Maddie, in classic Maddie fashion, was like, very direct, and at the end of the call, it was like, hey, we're actually looking to hire someone to lead design. Are you interested? And then to work on a product that I'd used for over a year. That experience also gave him a taste of just how quickly the space moves. And also a hit of virality. It happened because a friend of mine had their first kid, and I read her at children's book, actually. I was reading, and I was like, this story kind of makes no sense.

9:23So, so I went back home, I'd been using the journey a lot, Chaddgbt2xOld, combined the two to create that book. And then I was like, how do I get this published? An Amazon has this amazing publishing service. You can get a book out within 48 hours. I had a paper back in my hand in 72 hours. So fast. And it's really interesting because writing a book and publishing on Amazon is like, it was almost like iterating on software. I find discovered or a type or whatever, I just updated the PDF and the new book was out and a new publishing line was out. And so, yeah, I put it out there, got a ton of virality from that.

9:57And yeah, that was a really interesting experience. Free AI, we were in this era of consumer where it was just really hard to get people's attention, really hard to get them to download a new app or try a new tool. You had to spend a lot of money on customer acquisition. Now, just with the real excitement around AI, if you make a cool product, But you can get it into the hands of people and get them using and talking about it. This was the case for Victor and Diego at CREA, who eventually met their own viral moment, although it didn't come easy. First of all, it was called Geniverse, coming from a generative universe, best name ever.

10:36And essentially, it was like two things. It was on the one side, an open source library that was kind of integrating all the cool stuff that it was available at that moment. And on the other side, it was a creative tool. And the way how it looked, it was like super experimental. Like we didn't really know how to do UI design or any of that. Like the background really had stars and everything. So it was like a galaxy, like the generative universe, right? And then you could put text, you could put images, and you had a few things that you could tweak, and you could generate images. And you would see like the image evolving in real time.

11:09And the images that you liked, you could keep them. And they were added to this kind of universe. And essentially you ended up with a ton of images in this interactive space. So for us, it was always with the same idea in mind on the one side, controllability and on the other side, intuitiveness. Like how do we make tools that doesn't look daunting? Because AI in the end is like new creative medium. A lot of people are using it for the first time and we want them to have an experience where the AI does what you expect to do. And you don't need to learn about like crazy prominent geno rings and like all these tweaks up to get good results.

11:46And on the other side is controllability because we are dealing with creatives. We are dealing with folks who are not just okay with having a beautiful image. They want that beautiful image. So these are the two core principles that we had since then. And we build kind of a Figma -ish interface for AI and we had every single utility that you had at that point with the civil diffusion in there. We had like thousands of AI models that you could use. We had every single technique, like every control net, everything was in there. But you know, like it was not working. It was like a learning curve that some people were just like not willing to take.

12:20So then we had the first kind of virality moment when we ship this thing that it was almost like an equivalent to a meme generator. I remember that we were seeing like all of these images on Twitter with the spirals, right? So when we were like, what's going on with the spirals? Like we can do it. This is like one day of work. And I remember at that point, Diego was like, We should do something with this, we should do something with this. He's getting so viral and always more like in the mood of like we need to ship like this whatever feature We were working on that moment until at one point we were like, okay, let's fucking do it And we did it like in the sketchiest way possible like in one or two days and we shipped it in Twitter and it got viral It was like the first time That we lived something that I had read about in terms of these what PMF looks like as the first time I was like, oh Jesus Christ, okay But this is how it looks.

13:12As soon as you go to sleep, I can feel the hard beating. And then like, you sleep three hours, you wake up, because you know that there's stuff broken. The email starts to get flooded, Twitter starts to go in there. Suddenly, literally, every day was like crazier than they went before. I was like, oh my god, a thousand people. Oh my god, 10 ,000 people. And they're like, oh my god, like, football, club Barcelona, like, number one soccer club just used us. What? Why is it like how many followers they have? Oh my god, 100 plus million followers on Instagram. Okay, I feel like it was actually hard in the sense of as a founder, you're like, I've put multi amounts of years into like many things.

13:54And then the thing that we literally are like, that's not important, gives you all the success. So it's a moment of reflection. Sometimes like the world throws truth at you. that those years of work were not all for nothing. And I don't think like the years that we've been working on was like a waste. No, it actually is, oh, that's where you learn on the technical level. It works. I mean, because it was so much failure, we learn about, okay, how do you communicate with your co -founder? I think that's something important to note about those times is that we were very, very aware that this was a trend.

14:30And then this was not the end product that we were building. It was like almost like a marketing engine that we were using to get better branding and to get known. They were finding us because of one reason, but they were staying because of another one, which was like this other product that we were working on. Even we knew that. I think that the core learning that we got from this experience is that the AI field changes constantly. Like every month or every two months, there are new breakthroughs, new techniques, new ways of doing things. and the tool that we were building, it was like already starting to get too complex because we were trying to put everything in a single tool.

15:12And I think that what we learn with the experience of the spiral, virality is that there's a lot of value on simplifying super niche and simple use cases. And that was the case again when LCMs were released, right? We saw this technology, and at that moment, we use all the experience that we got from the first virology to engine the second one. And the second one we knew that it was not a trend. It was something extremely valuable. We were like finally being able to get that interaction that we were looking for for almost years, right? Like we can generate images in real time and have full control of the colors, the composition, the shapes, everything.

15:52That was almost like a dream come true. Victor and Diego have now hit virology several times over, but can you engineer that momentum? In some cases, it's all about having a single critical feature not offered elsewhere. Muhammad from I do Grim. So basically it was the version 0 .1 as we called it and this is back then in September of 2023. And it was a model that was working. It wasn't perfect. But if it felt like it's already good enough to give it to users and it was the first model that could put legible text into images. So it kind of went viral because of the unique capability of the model.

16:36Somehow the ability to put text into images felt needed. But in other cases, it's about cleverly enabling the masses. Or in this case, the memesters by drastically reducing the barrier to participate. Here's hung with Fickle story. It went pretty viral, right? What was that like experiencing to put a product in the hands of so many users and also see that kind of spread on its own? Yeah, it was we didn't anticipate that for sure in the very beginning we were thinking most targeting content creators but somehow the mid -makers the mid -sters they catch up on it and That's how it got pretty viral and also that's also thanks to some of the templates We spent so much time discussing like why this is the case There was this template, the Joker Leo Yali coming on the stage, and there's a Joker character that replaced down on the video.

17:30And we've seen millions of different characters just remixing the same moment. And we realized that the main reason was used to use. It's so easy to basically upload one image, and then one click choose that template, and then in just a matter of seconds, you'll have yourself in basically in that same moment. Maybe one other aspect of the virology is, as you said, the meme makers got a hold of it. There's this kind of fun, maybe even silly aspect to it. How have you thought about that? Well, I think that speaks to the entertainment value. For anything we have real entertaining value, it has to work.

18:07It has to work well. That actually requires a lot of rigorous in the research site. So we are pretty serious about being silly. It takes quite a bit of a rigorous research to do that. The second thing is you have to have a tool that provides precise control. And then because people are getting what they want, they can have all kind of a right -haha fun with it. You've mentioned characters and templates a few times. What are some of your favorite examples of those generated on the platform? One is the Docker Commodore State template. That one is basically the moment we realize more actually, people wants to remix, and there is this variety and memes aspect of it.

18:48And the second one is there has been one rocketing advertising song and people are dancing lists and we're also seeing the millions of people remixing that same template. And this is interesting for us because you make such realise that as long as there is this fun elements to it, people actually don't mind this content having a little bit brand message. When you think about applications and I know it's early days but have there been any that have surprised you about the ways that VIGL has been applied every time a founder creates a product. They have applications that they envision. And then the best products are often people are using them in alternate ways that surprised them.

19:27Yeah, that was exactly the case for us. In the very beginning, we were mainly thinking of movie makers, game makers, using this might be a quick animation, a previsualization to follow them. It's exactly pretty useful for that. And we've also seen the early users adopting to that. But then we never anticipated that the Mimsters, so since that will be also providing those templates. So we've been keeping track of the latest trendy dance moves, sports events, etc. And we've also seen content creators hopping onto this. They are actually reaching out to us, say, can you feature our dance or song on your platform and then can we collaborate promoting some of those that's being really interesting.

20:10We ask Connor the same question around what he's learning by seeing how the masses are using UDEO. The model we originally launched was a model which generated 32 -second clips. And so to make a kind of a full track, you would extend that in various directions. You would add an intro, add a maybe a chorus and an outro and stuff. And you would build a song like this and you would start with these junks. And I suppose we've actually come to realize quite quickly that people's experience with music when they ask for a song is actually a lot more focused on that. So they kind of want a song that begins at the beginning, maybe ends with at the end, it doesn't have to be long, it could be like a short, two -minute clip, but it has a verse in a chorus and a verse and there's a structure to it.

20:48And so I suppose we actually underestimated just how kind of important that was and so that's something we were making steps towards rectifying recently. 11 Labs was also no stranger to the surprising and inspiring user behavior. Yeah, I think one of the most surprising ones was people who had lost their voices and then had used a level of labs to bring their voices back to life and then do the thing they love doing. So we had Laurie Cohen, who was a lawyer, she lost her voice one morning and a friend of hers helped her replicate her voice with level of labs and then she was back in the courtroom delivering arguments.

21:21And that to me is just such an incredible moment because you don't expect that and I think our idea was like, hey, we're going to give ideas of voice with our product and our tools. But this gave someone their own voice back. And I think that was such an amazing thing to see. And we saw that again with a climate activist, Bill Wheel, who was delivering his awards speech he suffered from ALS, unfortunately, but again was able to replicate his voice and then deliver that award speech. So I think those kinds of things are just like, you're like, wow, technology being used in a way we didn't see it.

21:51And now we want to lean into that and of course help others. Yeah, maybe in the opposite sense, have there been any applications that you've actually built or designed for? We're like, everyone's gonna use it for this, obviously, where that's actually not in the case. It's interesting when we launched dubbing and automated dubbing. We thought, yeah, this is it. Like everyone's just gonna use automated dubbing, it's gonna be great. And of course with dubbing, one of the most important things is accuracy, right? And so automated dubbing, we realized people still want a lot of creative control on that.

22:18And so we ended up having to build dubbing studio, which allowed people to go really fine -tune that dub and change a lot of the content. And then we also introduced 11 studios, which was basically creative teams that help you dub your content with professionals who are really good at that. And so we realized that actually was what people needed more of and not just automate everything and all the things, right? And then it actually picked up again. And this is something even when I was working at Palantir you learn, which is like the temptation to try to automate everything or to use intelligence for everything, but actually there's so much value in like having someone in the middle and like still having that human touch to take it to that final step and this is something we learned with dubbing.

22:59And as these companies get all this new data, it's not always easy to figure out who they should be catering to. So how do you think about what you build and for who? Your tam is everyone in theory. I think what we acknowledge is that we probably have different types of users, like distinctly different types of users. At the very top being, does someone in a studio who's making an album at the very top level? And then at the end of the scale, it's maybe someone on their phone who wants in a minute, they want just a funny song to send to their friend. And those are two very different experiences.

23:34And kind of somewhat similar to the kind of, I put you can get from just an instrument in general. Like, someone can have a guitar at home that they play just to have fun from time to time, like a totally personal thing, it's not anything necessarily serious. It's just a way to express yourself with it kind of musically. And the same way someone can take that same guitar and a professional can take it into a studio and make it part of something fantastic. We like the technology to basically enable all ends of the oil parts of that spectrum. Several are unspricingly using their flywheel of new users to inform their decisions.

24:08Yeah, we kind of use our user base and the prompts that they enter into the system, to decide how to evaluate the quality of the model and what to prioritize. What's interesting is our users used IDogram to tell us what they want. So they were like, we want image upload, we want comment, we want more servers. So I guess the good news is we already have this flywheel of users coming and using it, some are paid, some are free. And that sets the vision for us. Hong from Vigil has actually used these new learnings to expand who they're building for. How are you thinking about who you now build for?

24:49Are you pivoting or adjusting to incorporate these new use cases? So we are broaden our target audience in this sense. So we are seeing this as eventually we're going towards the section of a new type of AI power content platform. And the content platform is really important to have all these creators. and those are still content creators, the artists, the movie makers, the game makers, the team of game designers. They are the sources for all those new ideas, ideas, all those new templates. And then we're broadened into content consumers. Basically, Vigo is a new way to consume content. Before AI, it was mainly like, if I like the moment I would share it, I would like it.

25:32But there's a deeper engagement you can have with that moment. And I can basically, I left this moment so much that I want to put my own avatar in it. It's almost like in a parallel universe, I want to see how this looks really if that moment myself. So this is a new kind of content consumption. And that's actually one of the most important aspects of a reality actually comes from all those creative ideas. So for us, you saw about empowering those creative community first, making sure they have what They want the best tool, they have early access to newer features, they have almost private channels, they have almost unlimited access.

Read the full transcript

26:11The team at CREA, on the other hand, is more focused than ever on experimentation. And their signal for success. When your users are better at using your tool than yourself. How I think about it is that every tool that we launch follows a similar process. And I think that it all starts with a hypothesis. And I think that this initial hypothesis needs to come from the founder and it's to come from your own intuition. But we are wrong, lots of times in the way how we validate. These ideas and when we are wrong is through listening to the community, seeing what they do with the tools. And I think that a good rule of thumb or something that I found that is like a good nor start to realize when something is good or not, is when your users are better at using your tool than yourself.

26:56And that has been key to me because when with the real time, like, I was seeing things that I was like, how the fuck? Did they create a dot and same thing with the video tool? Like with the video tool, I was trying to do a demo, like trying to showcase like cool stuff and I was trying things and I was not getting there and I was looking at Twitter and all the things that our users were creating with our product and I couldn't get to that quality, I couldn't get to those results. So I think that every time that your users are using your product better, then what you are, that's a good sign. Meanwhile, Justin and Max at CIVIT are charting new ground, but also figuring out new limits.

27:29Stable diffusion allows you to make anything. And so when we launched, I wanted to make sure that we could continue to support that community. It was so diverse and there's running meme of things you can make with stable diffusion. And in the front is like somebody making funny memes and then there's a train coming that's porn. Sure, people know that you can make all of this stuff. I mean, that's the point of this tech. Make anything, right? And so it was important for us to say, Hey, we want to be able to support this tech as it develops. It means that we need to embrace all of it. And that's not easy.

28:01It's been incredibly difficult to set up policies that allow the creation of all things in a way that's not going to hurt people and to also do it in a way that makes it so that people still have the level of control that they need to prevent the creation of content that can't be there. In the beginning, our policies were very straightforward. They were kind of just like, look, if it's long it's not illegal and as long as it's not just ethically completely debased, then we'll let it on the platform. And we were okay when we had the small enough user group with kind of leaving it even like that vague.

28:37We found over time that we've had to really kind of specify because it turns out that there are just like subsections of the internet that are into just the absolute strangest things you've never heard of at all. Which can be really funny. Which can be really cool. And some of that is really interesting and some of it is just oh my gosh. And it's like a bouncing act of figuring out okay well what You almost have to grow as a person, and we created a council of moderators around here to, on our platform, to really kind of get together and look at when these new things pop up and be like, how do we feel about this?

29:05One of the things that really blew my mind when we were getting into the whole moderation aspect was, like, oh, we'll just do what other platforms do. We'll do what Image or Does, we'll do what Reddit does. We'll just copy what they're doing. And as we kind of dug into what they do, is they don't define any of this. None of this is defined. We had to come up with terms of how do you define what a child is, how do you define? What is photorealistic? How do you define what is and isn't all these terms? But before, really didn't have any really set definition. Perhaps it shouldn't be surprising that there are new moderation challenges since this industry is so fresh, with new ideas coming from a new breed of creatives.

29:39In fact, we heard about this range in both prosumers and professionals from most of the founders we spoke with. Here's Victor from Korea. The range of creatives is quite wide, like the kind of people that use Korea can come from having 20 years of working in the creative industry and being like, I don't know, 3D artis or people doing graphic design or even photographers or these kind of people. But we also find a lot of folks who don't have a professional creative background. For the professional ones, you can find them doing a lot of prototyping. Like for example, when they start working on a new project, they may go to Korea to really quickly brainstorm some ideas that they have and they would use the real -time tool that we have for that.

30:26And they can do like a very simple sketch at a text from and have something that looks super realistic and that can either give them ideas and maybe even serve as a final deliverable depending on what they're doing. And when we're talking about like less professional creative, it's honestly more about having fun. And they are using CREA for everything that you can imagine. from imagining new walls, creating paintings, creating characters, all sorts of things. And as more participate, these new platforms generate new talent, but also new expectations, like expectations in speed. And on the meantime, what we are doing is building community and bringing to the community what they want now.

31:09Just focusing on what can we do now with the technology that is out there. We are very deep into AI communities and every time that there's something that we think that is valuable from a creative point of view, we go ahead and we execute it very, very fast. So the way how we work in is almost like a video game company where instead of video games, we are building tools and every six months or so there's a new tool because the space just happened to evolve in a way that every six months there's a new technology that you can use in order to make a new tool. And that's gonna keep being like that until we get to these like real -time, multi -model systems that allow us to do something we're more interesting.

31:47This new wave has also shifted people's willingness to pay back to Minesh. I think the willingness to pay and the amount that consumers are willing to pay is really high. And that's really interesting because for so long we've had these sort of patronage models for how to fund the arts. And there's been this belief that there's a sort of decreasing interest in paying for art. And instead we're seeing the exact opposite, people want to pay for art and pay for tools to make art and pay a lot. So that's a really, really exciting development to me. And this willingness to pay is also unlocking new business models.

32:21People make so many things because it's a tool for creating anything. And to see the things that people can create, whether that's assets for a game or videos of flowers that are dancing, it's just endless. The possibilities are endless. And it's inspiring to see how people are kind of pulling it to do new things. That was Justin from SIVIT, which is also working on a new way to reward AI artists for their contributions. When we were getting this going and we were really like realizing this could be a business, we interacted with a lot of the people who are doing this creation. And it's a lot of time and it's a lot of money and it's a lot of technical skill that goes into making these things well.

32:54And people were doing it, thousands of people were doing it, just for the love of the game. They just really enjoyed getting the clout and the entertainment of the factor that got up. position on the leaderboard. The leaderboard? Oh my god. And it became pretty clear that it looked like this is almost like a whole new creator economy that came out of this because it's a group of people who are putting effort and love into something that could very easily become livelihoods for them if they had even the smallest way to monetize it based on the number of eyes they're getting and uses they're getting.

33:19So yeah, a very clear goal from the very beginning was like let's figure out how we can get the creators monetize while maintaining the open source ethos. We actually just announced something that we're hoping to roll out over the next six weeks. Let me give you a little bit of history. So we launched a creator's program four months ago, and we opened it to a small cohort of essentially 50 creators. We opened applications and took essentially people that met certain criteria and have been experimenting with ways that we can help them monetize their work. What we've landed on for this next iteration that we're hoping to open up in these next six weeks is making it so that people can earn for the generation that people are doing on our site.

33:55So if they make a resource that's intended to produce a new character, like a consistent character that they've made. And somebody chooses to use that in the generator, then they're going to get their share of 25 % of what we charge for that generation. So the aim is to make it so that these people have a way to get essentially paid for allowing the convenience of using their resource on our site. One of the main things that we saw right away before we had the time to be able to implement any like real monetization stuff for creators was we put it a DM system simply because we knew that there's a lot of people who are contacting creators for work outside of the platform.

34:26And because of that, I mean, we just get untold number of people contacting us being like, thank you so much as platform because of that I was able to get hooked up with Hugo Boss or Hyundai or some of these other people who are suddenly using this technology. And it's completely changed my life before I was begging $30 ,000 a year as a waiter, whatever and now I'm making six figures doing this whole new thing that's a passion for me. And I have lost count of the number of people who have contacted me about that, so it's really cool to see. So, from a services side, we want to kind of enable that and make it even easier for people be able to sell their services, their expertise, directly to businesses from the system.

34:57It's not alone here. Leaven Labs is also building a marketplace for voices. I know you guys are building kind of a marketplace of sorts, so people can upload voices or they can use voices that others have uploaded. Yeah, I think it's a really exciting way to give folks a way to earn passive income as well. Maybe you were a voice actor and you weren't getting the gigs you wanted, but now you can put your voice out there and you might be coming extremely popular and we've seen people earn quite well on our platform. And so the library is just a great way to one put your content out there and we want to partner with more voice actors honestly to have more expressive voices and then give people great voices to create content with.

35:37So two way street. But it's not just the marketplace. It's also the interface. I think we've always had the dream of voice interactions with all our products. If you think about Star Trek and Night Rider talking to his car kit. It's something that's been a part of pop culture history forever, but I don't think we've had the quality and the sound and for it to feel as natural as it should have been. And so I think we're getting to that point where the interactions between large language models using voice interfaces is becoming incredibly natural and feels like talking to a person. And so I do totally see a future where a lot of this physical interface that you're tapping around with is going to just fade away and you're going to be able to ask the questions you want ask and have the conversations you want to have.

36:21I know her is the hot topic movie of the ice face, but I think there was one thing in that movie that stuck with me more than just the interactions he was having with her, which was there was this scene in the movie where everyone was down looking at their phones and kind of scrolling. And there's this inflection point somewhere later in the movie where actually everyone's kind of talking to something in their ear. And I think that is a very fresh and take that they had. And I think we're we're gonna see more of that. It's just gonna be natural conversations we'll be having with this AI or any airface.

36:51Yeah, it reminds me of my husband's grandmother, says that the first time she ever heard someone talking on a phone in the grocery store, she thought they were talking to themselves. It's like, all of these new interactions, right? You're just not used to, or the people who go to prison, who come out in 10 years later. They're like, why is everyone looking down? And then I realize that we have these crazy computers in our pockets. Totally. The thing that I love about AI in particular, and all these AI creative tools is the magic is you had an idea and now you can imagine it, right? You can imagine the image that you wanted and that was in your head and the dream you had and now we're saying you can imagine the sound that you're probably hearing in your head that no one else can hear yet.

37:29But it's not just a new UI. Perhaps it's a new approach to modeling the world itself. Hung from Vigil. One thing I really look forward to is like that says the next generation the model. So we are really hoping to extend this character model to more the rest of the world like objects and the scenes. And so I think those are two general passes to us modeling the real world. One is more and we've seen this pixel level approach. So diffusion models are really good at that. But it has this drawback of is really hard to manipulate pixels. And the real or this essentially is really is physical. So pixel is not really efficient at grip station for it.

38:11But it has the advantage of you can train with any video and generate anything. And the hope there is we'll skill it up to a certain extent. A controllability will kind of emerge. Of a war taking another kind of different path in that we want to nail down but at the first. Making sure is just as precise, as controllable, as a graphic surgeon, and then we screw up from there. So I think this how those two passes involved and how actually they can be combining to one immersive experience. As we close out this episode, it's hard to understate just how much these tools are shifting what it means to be creative, to both existing artists and to those who never would of call themselves artists before.

38:54Conor from Media. The threshold for someone going into a studio and recording something like that was way too high. Whereas now the promise of the technology is that it brings an order of magnitude or two orders of magnitude more people into the creative kind of experience, right? People can express themselves in this way, but kind of even more concretely, as moments happen in the world, different cultural moments, you can attach music to them now because it It can be dynamically attached to these things in interesting ways. This is super compelling. This is a kind of a market that didn't really exist before just because it wasn't actually possible to explore this way.

39:30I think as well as that, we've been fascinated with how at the top level, say with existing artists or existing producers, how this can basically work as an ideation machine, like a kind of well of infinite creativity that you can just pull from for ideas. Maybe you have the beginning of a track, you have a riff, you have a beat, you want to see where could this go from here, if I remix this a bit, what are variations on this. And that's a super compelling thing to do as well. Again, because it's something that before took a lot of time. And so it just accelerates the creative experience for professionals like that as well.

40:02I have yet to meet an artist who's actually used the products that is worried about the products competing with them, the biggest worry that I hear over and over is that somebody is going to take them away. Diego from Korea, with a great reminder of just how monumental this shift is. I was a creative myself doing graphic design, photography. I even tried to make video games in flash, motion graphics and after effects, digital sculpture in Zbrush, 3D modeling for architecture visualization. And I was like, some of the like I felt the fear of wait, what's the point? If this thing can do everything, right?

40:38But I don't think that's okay. What I think is happening is Yeah, we're just giving so much power to creatives that things that were like a job in a way. Like now you don't even think about that. That's what technology does, right? Like one day it is a lifetime work to move from the east coast of the US to the west coast and people die on the process. To now you're like, I took me like 20 minutes at the line to get to the airport thing and you don't even think about the fact that you flew like a Greek god through the planes. Instead, you're just thinking at a higher level. You're just, I don't know, flying between cause to make like bigger things, right?

41:23So I feel like the same is going to happen. Suddenly like coloring 3D models through texture things and all these repetitive things, like sketching and whatever. Like you will save so much time, like of your life. Because of not having to do that, you can focus on having even better and crazier. ideas. So I'm really really really excited to see what the creatives are going to be able to do. All right that's all for now. The demos shared during the day were followed by a gallery party at night showcasing many of the artist's work with the broader New York City creative community. So if you want to get up close and personal with these tools head on over to a16z .com slash AI art to check out their demos and more.

42:08We'll leave you with a little sneak peek. Ladies and gentlemen, I am thrilled to be here at the A16Z artist retreat. Yeah, it gets you pumped. So pumped. So pumped. Are you can generate whatever you want? That was amazing. Yes, so it's a whole body swap. Wow, this is so good. We're also working on because the new tab off means actually I think that is better if we see it in slow motion. Laura you should come see this. This changes from being deterministic to being totally random. Remix. If you liked this episode, if you made it this far, help us grow the show. Share with a friend or if you're feeling really ambitious, you can leave us a review at rate this podcast dot com slash e16c.

42:58You know candidly producing a podcast can sometimes feel like you're just talking into a void. And so if you did like this episode, if you like any of our episodes, please let us know. We'll see you next time.

From the publisher

On June 27th, the a16z team headed to New York City for the first-ever AI Artist Retreat at their office. This event brought together the builders behind some of the most popular AI creative tools, along with 16 artists, filmmakers, and designers who are exploring the capabilities of AI in their work.

In this episode, we hear from the innovators pushing the boundaries of AI creativity. Joined by Anish Acharya, General Partner, and Justine Moore, Partner on the Consumer team, we feature insights from:

  • Ammaar Reshi - Head of Design, ElevenLabs
  • Justin Maier - Cofounder & CEO, Civitai
  • Maxfield Hulker - Cofounder & COO, Civitai
  • Diego Rodriguez - Cofounder & CTO, Krea
  • Victor Perez - Cofounder & CEO, Krea
  • Mohammad Norouzi - Cofounder & CEO, Ideogram
  • Hang Chu - Cofounder & CEO, Viggle
  • Conor Durkan - Cofounder, Udio

These leaders highlight the surprising commonalities between founders and artists, and the interdisciplinary nature of their work. The episode covers the origin stories behind these innovative tools, their viral moments, and their future visions. You'll also hear about the exciting potential for AI in various creative modalities, including image, video, music, 3D, and speech.

Keep an eye out for more in our series highlighting the founders building groundbreaking foundation models and AI applications for video, audio, photography, animation, and more.

Learn more and see videos on artists leveraging AI at: 

a16z.com/aiart

 

Find Ammaar on Twitter: https://x.com/ammaar

Learn more about ElevenLabs: https://elevenlabs.io

Find Justin on Twitter: https://x.com/justmaier

Find Max on LinkedIn: https://www.linkedin.com/in/maxfield-hulker-5222aa230/
Learn more about Civitai: https://civitai.com

Find Diego on Twitter: https://x.com/asciidiego?lang=en

Find Victor on Twitter: https://x.com/viccpoes

Learn more about Krea: https://www.krea.ai/home

Find Mohammed on Twitter: https://x.com/mo_norouzi

Learn more about Ideogram: https://ideogram.ai/t/explore

Find Conor on Twitter: https://x.com/conormdurkan

Learn more about Udio: https://www.udio.com/home

Find Hang on Twitter: https://x.com/chuhang1122

Learn more about Viggle: https://viggle.ai/

 

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Find a16z on Twitter: https://twitter.com/a16z

Find a16z on LinkedIn: https://www.linkedin.com/company/a16z

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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

 

 

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Follow our host: https://twitter.com/eriktorenberg

 

Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.


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