Tibo Sottiaux

we used Astra in order to develop the next generation of our inference stack, which allowed us to create ultra fast, which is eight times faster. And this was possible in such a short amount of time because we have amazing engineers, but also because they had access to Astra and they collaborated together in order to make a version of Astra that was faster, like eight times faster.

And Astra was never trained on this, so it had to generalize and, you know, just do like the spatial reasoning. And it was kind of like magical to see it just solve it and then see that it's also, you know, one of our best models like on robotics.

Astra is, you know, state of the art, you know, like the best model in the world when it comes to, you know, computer use safety.

And so we just merged it and we merged it in 30 days.

most people at OpenAI are here like, you know, just really because of the early days of ChatGPT and what it means, you know, to benefit all of humanity.

I think this is going to become a big theme because, you know, maybe for whatever reason, you know, you're going to want to fine tune an open source model and use it yourself. But, you know, you need the same guarantees that we are able to provide, you know, just for open AI models.

when we are developing our API platform and our API stack, you know, we're also fundamentally thinking about, well, you know, maybe we can provide, you know, the very best of our safety stack and our safety approaches as something that you can use not just with the open AI models, but also with open source models.

We're, you know, pouring incredible amounts of resources into like, you know, making sure that it's like just really, really tight.

the research team is investing a ton, a ton of work in there.

the models are improving generation after generation.

we're always busy twerking off bad actors, you know, from getting control over, like, you know, people's accounts or, you know, sending a ton of traffic in order to, you know, try to elicit, you know, like capabilities that, you know, we shouldn't have broadly accessible. And so, you know, we're investing a ton there.

I don't want a product that does unwanted or unexpected things. I don't think anyone wants to use an unsafe product. And so it is like a fundamental requirement of, you know, putting a product out there for like a billion users is that, you know, we take safety super, super seriously.

we used Astra in order to develop the next generation of our inference stack, which allowed us to create ultra fast, which is eight times faster.

I think we're very close to that.

it's going to get there very quickly.

it's going to come from a combination of many investments that we have made at OpenAI, such as like voice and, you know, multimodality with image generation.

it started to, I started to see people show it solving robotics tasks with, you know, very complex, like 3D puzzles with pieces like intertwined. And like, it's just kind of like a hard task where you have to pull the two pieces and sort of like reason in 3D space about the objects and then do it exactly right and solve the puzzle. And this had never just really been solved other than by like super, super specialized models. And Astra was never trained on this, so it had to generalize and, you k

I saw it perform tasks on a computer in a way where I was like, okay, this was like, I felt this was so far off and now suddenly it's capable of doing that. And we rolled it out at OpenAI and it started to do a lot of back office tasks, such as like procurement, you know, completely autonomously without requiring a ton of supervision.