Eiso Kant

I want to set the record straight. We're an American company, and we've got incredible people from all the way from San Francisco to Israel. But a decision that we made early on, Jason and I, my co-founder and I, we were planning on building this company in the Bay Area. And we did the work in the first days of the company.

I want to set the record straight. We're an American company, and we've got incredible people from all the way from San Francisco to Israel. But a decision that we made early on, Jason and I, my co-founder and I, we were planning on building this company in the Bay Area. And we did the work in the first days of the company.

I want to set the record straight. We're an American company, and we've got incredible people from all the way from San Francisco to Israel. But a decision that we made early on, Jason and I, my co-founder and I, we were planning on building this company in the Bay Area. And we did the work in the first days of the company.

And the work was let's make a list of everyone we think from both that we knew and also like externally, like, you know, on research papers and GitHub repos that we think potentially could be great for us. And the list ended up with about 3,300 people. A lot of work done.

And the work was let's make a list of everyone we think from both that we knew and also like externally, like, you know, on research papers and GitHub repos that we think potentially could be great for us. And the list ended up with about 3,300 people. A lot of work done.

And the work was let's make a list of everyone we think from both that we knew and also like externally, like, you know, on research papers and GitHub repos that we think potentially could be great for us. And the list ended up with about 3,300 people. A lot of work done.

3,300 people that we saw ranged from having experience on distributed training, to GPU optimizations, to work on data, to reinforcement learning, experience with large language models. So the whole breadth of what it takes to build what we're building from a model perspective. In that list was a location column.

3,300 people that we saw ranged from having experience on distributed training, to GPU optimizations, to work on data, to reinforcement learning, experience with large language models. So the whole breadth of what it takes to build what we're building from a model perspective. In that list was a location column.

3,300 people that we saw ranged from having experience on distributed training, to GPU optimizations, to work on data, to reinforcement learning, experience with large language models. So the whole breadth of what it takes to build what we're building from a model perspective. In that list was a location column.

And as you can expect, the number one represented geo in that was the Bay Area, not even the United States, just purely the Bay Area. But what really was striking for us is that there was a huge part of that list that was not in the Bay Area. It was spread out across Europe and Israel, from the UK to Switzerland to Tel Aviv to Amsterdam, you know.

And as you can expect, the number one represented geo in that was the Bay Area, not even the United States, just purely the Bay Area. But what really was striking for us is that there was a huge part of that list that was not in the Bay Area. It was spread out across Europe and Israel, from the UK to Switzerland to Tel Aviv to Amsterdam, you know.

And as you can expect, the number one represented geo in that was the Bay Area, not even the United States, just purely the Bay Area. But what really was striking for us is that there was a huge part of that list that was not in the Bay Area. It was spread out across Europe and Israel, from the UK to Switzerland to Tel Aviv to Amsterdam, you know.

harris like all of these different places well we couldn't see a clear deep talent concentration in one place probably uk actually being the one with the largest talent concentration we didn't realize that it was probably worth spending some time talking to people there and so i went and had conversations and and we realized one thing we said there's incredibly capable people here who want to stay here geographically they don't want to move to the bay area to join some of the other companies in the space

harris like all of these different places well we couldn't see a clear deep talent concentration in one place probably uk actually being the one with the largest talent concentration we didn't realize that it was probably worth spending some time talking to people there and so i went and had conversations and and we realized one thing we said there's incredibly capable people here who want to stay here geographically they don't want to move to the bay area to join some of the other companies in the space

harris like all of these different places well we couldn't see a clear deep talent concentration in one place probably uk actually being the one with the largest talent concentration we didn't realize that it was probably worth spending some time talking to people there and so i went and had conversations and and we realized one thing we said there's incredibly capable people here who want to stay here geographically they don't want to move to the bay area to join some of the other companies in the space

But they're not finding massively ambitious, you know, young companies that have huge visions to join. And so we saw that as an advantage, right? To the four things in that, you know, capabilities race, we need to build unfair advantages for every single one of those. And so we said, great, let's build up talent, you know, here on this continent in Europe, as we will in the United States.

But they're not finding massively ambitious, you know, young companies that have huge visions to join. And so we saw that as an advantage, right? To the four things in that, you know, capabilities race, we need to build unfair advantages for every single one of those. And so we said, great, let's build up talent, you know, here on this continent in Europe, as we will in the United States.

But they're not finding massively ambitious, you know, young companies that have huge visions to join. And so we saw that as an advantage, right? To the four things in that, you know, capabilities race, we need to build unfair advantages for every single one of those. And so we said, great, let's build up talent, you know, here on this continent in Europe, as we will in the United States.

And frankly, I'm very grateful that we did.

And frankly, I'm very grateful that we did.