Building AI for Creators | Luma & Phota Labs

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The a16z Show 48 min 3 speakers 8 chapters transcribed 2 months ago
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What is the main focus of the conversation about AI and creativity?

I think the creativity is building a story. The tools alone aren't a story. Someone has to direct them. It's not about mastering those tools. It's about directing an agent who can use those tools to achieve your creativity. Generated AI has become so good. You can be sort of authentic to that moment while getting a little bit creative of stuff. So I just think a lot of photographers are having more fun post-capturing than before.
Matt Tancik 0:23
How do you make something unique with the tools you have access to now? There has to be something more than just text. If you go to, say, a studio and you say, make me a 10-second video about a dog jumping in the grass. They're never going to take that deal. They're going to want more specific. And I think AI tools are no different.
Yoko Li 0:41
Something I heard from someone today earlier was they assume AI to be slop.

How is AI impacting the creative workflows of photographers?

Yoko Li 0:47
It's up to the humans to create something out of it. What are your thoughts?
Josh Elman 0:51
I feel like that's such a hard question. Creative tools have always changed the way people make art. Photography changed painting. Digital software changed photography. And now AI is changing how images, videos, and entire creative workflows come together. The technology is improving at an incredible pace, but the most important ingredient in creative work may not be the model. It may still be the person behind it. In this episode, Yoko Lee speaks with Matt Tancic of Luma and Zach Schia of PhotoLabs about AI-generated imagery, creative workflows, personalization, and why they believe the future belongs not to the tools themselves, but to the people directing them.
Yoko Li 1:34
Today we have Zach Hsiao, who is the co-founder and CTO of PhotoLabs. He works on personalized AI and AI photography. We also have Matt Hensick, who is the head of applied research at Luma. He works on agentic systems, fundamental research, and he was also the co-creator of NERF. Thanks for coming on the pod.

What role does personalization play in AI-generated content?

Yoko Li 1:52
So maybe let me start with this question. Matt, many years ago, maybe three years ago, you had this online talk about Nerf. And how you started this online talk was you posed a really interesting question, which is, what is the role of the artist? And what is the role of technology? Now, fast forward three years, which is a lifetime in AI. What is your answer then? And what's your answer now? Has it changed?
Matt Tancik 2:16
Yeah, so if I recall correctly, my answer at that point was that Really, the point of this AI technology is to act as a tool for artists to better execute on the creative vision that they have. And at the time, Nerf was providing an ability for people to create 3D assets in a way that didn't require tons and tons of manual effort. Because when you're creating 3D scenes, creating those assets isn't really where the creative part is. It's how do you put them all together? How do you build a story around it? And that's where those tools were helpful.

How do artists define their creativity in the age of AI?

Matt Tancik 2:48
Right. I think now there's just so many more tools that just allow you to do that, not just in 3D, but also in video, in images. And I think this thesis that these AI technologies can be used as tools is even more so than it was in the past.
Yoko Li 3:01
Yeah, interesting. And Zach, I know you work at Adobe and then you did a lot of research that later, you know, went into Lightroom, which is also a creator tool that creators have been using. What's your view of this?
Yeah, I think artists really are where their creative minds are. They have a lot of creativity and technology is sort of a way to help them express that kind of creativity. I think maybe in the past few years, people like artists were also spending a lot of time trying to master in their workflows, their tools. I don't think that's necessarily where their creativities are. So now their tools have become easier to use, more expressive than before. It's just so much easier for them to express their creativity. But I still think technology cannot replace their creativity minds today.
Yoko Li 3:43
Interesting. What would you define as creativity here?

What challenges do researchers face when transitioning to product development?

Yoko Li 3:45
Because what the models are creating, not creativity, and it's what user kind of composing together.

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