Gaurav Misra

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.

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.

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.

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,

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...

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.

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.

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.

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.

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.

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.