Gaurav Misra
๐ค SpeakerAppearances Over Time
Podcast Appearances
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.
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.
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.
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.
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.
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 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.
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.
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.
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.
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.