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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So they can just mass produce videos of different types. But it also can be like using one of our actors. A lot of that is marketing content and things like that, things that go on social media, but also like ads and anything that might be marketing related. So those are sort of the relative popularities. I would say like they're about equal.
To an extent, yeah. I mean, I think the most interesting thing that I've seen is a lot of new companies popping up. All of them are trying to do the same thing. Like I'll give you an example. I was at Snap before this. Literally five other people have left Snap and tried to start the exact same company Yeah, it's working. We should be doing that thing. It makes sense. I don't blame anybody.
Like, I think it's great that they're doing it. But I think what I like about it kind of in a way the most people are copying us. I think it's like a great sign. It means that we're doing the right things and we kind of avoid looking at other companies too much. Our product strategy and what we build and what we do is really decided by our mission and vision and where we see the future being.
It shouldn't be decided by what somebody else is doing because they may not have a strategy at all. We don't know. Their strategy might just be looking at us So a lot of times we'll look at competitors only to the extent of understanding, okay, this is what they're doing. What we really focus on is thinking about our North Star and where do we see the future being?
And are we building towards that future? Not just from a technology perspective, from a product perspective and a user experience perspective. And I think that's the fun part, right? I think that's so much fun. When do we get a chance in history to actually invent the entire stack from the bottom to the top, all the way from the hardware level?
Like there's bugs in the NVIDIA drivers, there's bugs in the hardware level, like It's crazy. And we get a chance to literally invent the UX. How are people going to interact with these things? I think people are not even thinking enough about this yet. They're just literally taking models and throwing it on UI and being like, press button, output. What if it was more interactive?
What if you could see the steps of diffusion? Or you could preview things in the middle of the diffusion process, change things according to what you want it to generate. There's just so much that's still to be unlocked. Every function, whether it's design, learning about like how the technology works or technology people learning about like how the marketing is going to work.
This is going to get so much more evolved and so much more integrated. And that's what we focus on.
We've actually niched down quite a bit on purpose because as you said, like video is huge. It's like a massive market and it's almost too many problems to solve. I don't think if we tried to focus on everything, we would solve all of these things. So our focus is very much on videos oriented around communication. These are talking videos, people saying stuff.
A lot of it tends to be marketing, sales, education. These are like the big categories or maybe communications to some extent. And it's about generating those types of videos. It's about editing those types of videos. But I think generating stock video is fine. I think that's a great thing to solve. But our goal isn't to create stock video.
It's actually to create a real video telling the actual story. of whatever it is you're trying to convey. So not just bunnies jumping around on Mars type of thing, more like telling a story, pitching a product or whatever that might be. Something really communicative, informative. And that's where we've seen a lot of our product market fit.
We're actually the only company training a foundation model to do this type of thing today, to generate A-roll. There's a couple of technical reasons why that's the case. There's other companies in the space, but they're not training foundation models. So we'll see how the space evolves in the future. I think it will actually tend more towards what we're doing.
Guaranteed, essentially. We'll probably start seeing the first versions of this coming out within months of now.
you have to find training videos where people are already interacting with objects, you drinking a can of Coke or whatever it might be. And then you have to be able to identify those objects and then provide them as conditioning. So for example, it might be text conditioning. So if you can like adequately describe this particular can of Coke in text,
That might be enough, but it may also not be right. Like Fiji water bottle has a very particular design. Unless the model has seen one before, it may not be able to precisely recreate it. And text might not be enough to describe what it looks like. So you might imagine like image conditioning. Here's a picture of a Fiji water bottle. And then text that says...
man in blue shirt holding Fiji water bottle. And then it'll be able to figure out the rest from there because it's seen bottles in general and understand what bottles look like. If it sees it from one angle, it can predict what it looks like from the other.
So if you're like rotating it around and moving it around, it'll guess essentially what it probably looks like on the other sides, but it'll be pretty accurate because it can see the bottle from one angle. You could imagine a world in which we provide multiple angles of the bottle just to make it a little bit more accurate.
Maybe there's something on the other side that isn't visible in one image that you want to make sure is like clear to the model. So those are the types of things that are just obvious. This will be the first of what's going to happen.
I mean, I think it's interesting. One comparison you can kind of draw with this is if you think about the 2010s, generally, like it was a phase of design really taking off. Companies like Canva and Figma were created in this decade. And not just that, but there were a lot of like companies that were doing make a website with a few clicks. It looks awesome.
Great design websites, just like one click away. This was an AI. There was a huge movement to just like If you want to sell something on the internet, if you want to have a business of any sort, you need a great design website. If your website looks like it's from the 1990s, no one's going to buy anything from there.
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