Mike Krieger

I think I can go into why I think that's a good idea. That's the team that got spun up right after I joined. And then the other team we have is our research PM teams, because ultimately we're delivering the models using these different services. And the models have capabilities like what they can see well, you know, in terms of multimodal or

I think I can go into why I think that's a good idea. That's the team that got spun up right after I joined. And then the other team we have is our research PM teams, because ultimately we're delivering the models using these different services. And the models have capabilities like what they can see well, you know, in terms of multimodal or

what type of text they understand, even understanding what languages are they need to be good at. Having end user feedback tie in all the way back to research ends up being very important. And it prevents it from ever becoming this like, almost like ivory tower. Like we built this model and it's like, is it actually useful? Like we say we're good at code. Are we really?

what type of text they understand, even understanding what languages are they need to be good at. Having end user feedback tie in all the way back to research ends up being very important. And it prevents it from ever becoming this like, almost like ivory tower. Like we built this model and it's like, is it actually useful? Like we say we're good at code. Are we really?

what type of text they understand, even understanding what languages are they need to be good at. Having end user feedback tie in all the way back to research ends up being very important. And it prevents it from ever becoming this like, almost like ivory tower. Like we built this model and it's like, is it actually useful? Like we say we're good at code. Are we really?

How are startups that are using it for code giving us feedback on, oh, it's good at like these Python use cases. It's not good at this autonomous thing. Great. Like, That's feedback that's going to channel right back in. So those are the two distinct pieces.

How are startups that are using it for code giving us feedback on, oh, it's good at like these Python use cases. It's not good at this autonomous thing. Great. Like, That's feedback that's going to channel right back in. So those are the two distinct pieces.

How are startups that are using it for code giving us feedback on, oh, it's good at like these Python use cases. It's not good at this autonomous thing. Great. Like, That's feedback that's going to channel right back in. So those are the two distinct pieces.

But within product, and I guess a click down, because I know you get really interested on Decoder, on team structures, we have apps, which is Cloud AI, Cloud for Work. And we have developers, which is the API. And then we have our Kuki Labs team.

But within product, and I guess a click down, because I know you get really interested on Decoder, on team structures, we have apps, which is Cloud AI, Cloud for Work. And we have developers, which is the API. And then we have our Kuki Labs team.

But within product, and I guess a click down, because I know you get really interested on Decoder, on team structures, we have apps, which is Cloud AI, Cloud for Work. And we have developers, which is the API. And then we have our Kuki Labs team.

Yeah, that's aside on the actual models. And that's everything from researching model architectures, figuring out how these models scale, and then a strong red teaming safety alignment team as well. And that's another component that is deeply in research. And I think some of the best researchers end up gravitating towards that as they see that's the most important thing they could work on.

Yeah, that's aside on the actual models. And that's everything from researching model architectures, figuring out how these models scale, and then a strong red teaming safety alignment team as well. And that's another component that is deeply in research. And I think some of the best researchers end up gravitating towards that as they see that's the most important thing they could work on.

Yeah, that's aside on the actual models. And that's everything from researching model architectures, figuring out how these models scale, and then a strong red teaming safety alignment team as well. And that's another component that is deeply in research. And I think some of the best researchers end up gravitating towards that as they see that's the most important thing they could work on.

We're north of 700 at last count.

We're north of 700 at last count.

We're north of 700 at last count.

Product is really, I think, probably, I wouldn't say doubled, but almost doubled. Product is just north of 100. So the rest is, you know, everything between. We have sales as well, but research, like the fine-tuning part of research, inference, and then the safety and scaling pieces as well. So I described this within a month of joining as those crabs that have one super big claw.

Product is really, I think, probably, I wouldn't say doubled, but almost doubled. Product is just north of 100. So the rest is, you know, everything between. We have sales as well, but research, like the fine-tuning part of research, inference, and then the safety and scaling pieces as well. So I described this within a month of joining as those crabs that have one super big claw.

Product is really, I think, probably, I wouldn't say doubled, but almost doubled. Product is just north of 100. So the rest is, you know, everything between. We have sales as well, but research, like the fine-tuning part of research, inference, and then the safety and scaling pieces as well. So I described this within a month of joining as those crabs that have one super big claw.