Gaurav Misra
speaker
155 appearances
1 recordings
1 series
first heard Jan 2025
last heard Jan 2025
Gaurav Misra’s voice in public audio — every appearance, attributed to the second.
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On the inference side, it's similar learnings happening simultaneously. We don't need to do 100 steps of diffusion for inference, like 100 denoising steps to reach like a clear picture. We can distill models and have them work with a few steps of diffusion now. I think we're definitely the most inefficient we'll ever be. And it's only going to get more and more efficient.
It could be a factor of at least an order of magnitude like 10x or something.
I mean, it's definitely the most exciting that for anybody who's working on the engineering or product side, I feel like there's nothing more exciting than seeing direct results of I did a thing and the next day it caused an impact, right? Like people cared. There's just nothing more exciting than that.
And I think we see that, which is great, which is why we've been able to build a great team and hire all this great talent, really set us up for success. But I think maybe the most interesting part of it for me is how you can almost think see how as you're expanding the use case, it's actually growing the potential market. And that potential market has no competitors.
As you expand the use case, you kind of see we're doing ads now, or we're doing like higher quality video, even on that axis. And you see like entire new areas of market unlock where there's actually no competition. And actually, that's what causes the fast growth is actually nothing other than just we are the only company that can do And that will change.
And I think that's why it's going to be interesting to see as more and more use cases unlock. At some point, all of it's going to be unlocked. All of it's going to be having competition in it. That'll be a different time. Might be years from now. I don't know when it'll be. But at least for now, what we're seeing is this ability to expand use case.
And by the way, we really think that the use case unlocked so far is somewhere in the 1% to 5% range. We've barely scratched the surface of what's possible. As that grows, we see these entire new markets unlocked. Like, wow, this is a whole new set of people who can now do something actually useful with this. Yes, they're completely willing to pay. They're running to us.
We don't even need to sell it. And we're the only option. It makes just growth really fast. I think that's been probably the most exciting thing for me.
When you think about us, we actually divide the product in two areas. So there's the traditional video editing and video recording, which is just as you would expect it. It's a video editor and a video recording software. And this is built for consumers, completely free.
The play here for us is to provide a service to a large number of people, kind of a freemium business model in a way that they're already familiar with creating. But the goal is to actually upsell them into the AI use cases. You actually don't need to spend all this time video editing and recording. You can just generate it.
So on the flip side of that, we offer the AI suite, which is two products, AI Creator and AI Edit. These are exactly mirroring recording and editing. AI Creator literally just makes videos of people talking, whether that's you or an actor that we provided or anybody you might choose that you have the license to use.
We can make them say whatever you want, deliver whatever message you want, and we can even create people that don't exist. So in between that, you get a bunch of optionality of how you want your message to be delivered. A lot of the use cases like marketing and sales and these things are like very close to revenue. And then there's AI edit.
Just a recorded video isn't exactly enough to create value. You want it to be edited in some way to tell a story that you want to tell. That's why we have AI edit. The purpose of that is take a video in and edit it for you. You actually don't have to worry about keyframes and animation curves and timelines and all these concepts. Video editing is not easy.
And a lot of people avoid it because they just don't want to deal with this complexity. And our thesis is We have a foundation model that just does the editing for you. So you don't have to worry about actually editing anything. So that's the suite of products, basically. The traditional versus the AI. And in the AI, we have AI creator and AI edit.
That's where it will go in the future. Currently, it's more style preferences that you provide to it. So it's in the early days of that. A lot of what will happen in the future is as we get more video editing data from our traditional products, we're going to use that to funnel into our foundation model the ability to essentially prompt with text whatever you want to say. Say things like,
I don't like these images, we want like different images with a better vibe, or let's cut it down to like 30 seconds, like 45 is too long, or it sounds a little slow, we want to tell the story a little faster pace, general prompts, what you might actually say to an actual video editor.
And the type of thing that someone who doesn't have the detail and intricate knowledge of video editing might say.
Yeah, so today, like a vast majority of our users are paid users. In between AI creator and AI edit, they're both about equally popular. There's some people that just use AI Edit. There's some people that just use AI Creator, depending on the use case. And then there's a bunch of people who use both, one after the other.
So using both lets you basically get from absolutely nothing to a fully edited video with just a couple of words typed, which is a great first-time experience. Now, some people might want to just record their own video, or they might be editing on somebody else's behalf or something like that.
So they might actually like take a real video and pass it to AI edit to be like, okay, I already have a video, edit this for me. And the AI creator side, some people don't want the editing or they have very specific use case of what they're trying to do with it. They want to just figure it out on their own. So they just do the AI creator part. A lot of times it's like using their own likeness.
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