Eiso Kant

And so we compare investments in energy and chips and compute together with humans and have an extreme explosion on this exponential of all of the places in the world where we want to direct it to. My point is that I think there is a huge amount of places where this is going to be valuable. We will figure out the compute efficiency along the way.

And so we compare investments in energy and chips and compute together with humans and have an extreme explosion on this exponential of all of the places in the world where we want to direct it to. My point is that I think there is a huge amount of places where this is going to be valuable. We will figure out the compute efficiency along the way.

And so we compare investments in energy and chips and compute together with humans and have an extreme explosion on this exponential of all of the places in the world where we want to direct it to. My point is that I think there is a huge amount of places where this is going to be valuable. We will figure out the compute efficiency along the way.

The hardware will get more efficient because that's capitalism. As the opportunity is big, we'll direct things to make it more efficient.

The hardware will get more efficient because that's capitalism. As the opportunity is big, we'll direct things to make it more efficient.

The hardware will get more efficient because that's capitalism. As the opportunity is big, we'll direct things to make it more efficient.

The way I think about this is there's things in the world that today we consider economically valuable. And that ranges from scientific progress to very mundane things. Office buildings full of things that we look at today and say, why can't that be automated?

The way I think about this is there's things in the world that today we consider economically valuable. And that ranges from scientific progress to very mundane things. Office buildings full of things that we look at today and say, why can't that be automated?

The way I think about this is there's things in the world that today we consider economically valuable. And that ranges from scientific progress to very mundane things. Office buildings full of things that we look at today and say, why can't that be automated?

So if we take what's economically valuable, the next thing we need to ask ourselves, what's the gap between models today and human level capabilities? And how large is that gap? And in some cases, the gap is actually not that large anymore. We were talking earlier about speech recognition. Models today are pretty much there.

So if we take what's economically valuable, the next thing we need to ask ourselves, what's the gap between models today and human level capabilities? And how large is that gap? And in some cases, the gap is actually not that large anymore. We were talking earlier about speech recognition. Models today are pretty much there.

So if we take what's economically valuable, the next thing we need to ask ourselves, what's the gap between models today and human level capabilities? And how large is that gap? And in some cases, the gap is actually not that large anymore. We were talking earlier about speech recognition. Models today are pretty much there.

Maybe there's a tiny bit left to say, but we've closed that gap into an incredible amount. In other areas, the gap felt like it was going to be impossible to close, but we're making a lot of progress. Come back to full self-driving, if you've been in your latest Tesla FSD update, that gap feels getting closer and closer to be closed. Now, there's other areas where the gap is really large still.

Maybe there's a tiny bit left to say, but we've closed that gap into an incredible amount. In other areas, the gap felt like it was going to be impossible to close, but we're making a lot of progress. Come back to full self-driving, if you've been in your latest Tesla FSD update, that gap feels getting closer and closer to be closed. Now, there's other areas where the gap is really large still.

Maybe there's a tiny bit left to say, but we've closed that gap into an incredible amount. In other areas, the gap felt like it was going to be impossible to close, but we're making a lot of progress. Come back to full self-driving, if you've been in your latest Tesla FSD update, that gap feels getting closer and closer to be closed. Now, there's other areas where the gap is really large still.

I think software development, our domain, we think the gap is still very large, right? What models are able to do is they're massively useful assistants and they drive massive economic value because of that. But between a model working with a developer today, there's a huge, huge gap.

I think software development, our domain, we think the gap is still very large, right? What models are able to do is they're massively useful assistants and they drive massive economic value because of that. But between a model working with a developer today, there's a huge, huge gap.

I think software development, our domain, we think the gap is still very large, right? What models are able to do is they're massively useful assistants and they drive massive economic value because of that. But between a model working with a developer today, there's a huge, huge gap.

And we want to get to a world where developers can work with models that are as capable as them and potentially even one day more capable. Now, the reason I mentioned this is so we've got the human capability aspect, right? What's the gap that's there? How economically valuable is the domain?

And we want to get to a world where developers can work with models that are as capable as them and potentially even one day more capable. Now, the reason I mentioned this is so we've got the human capability aspect, right? What's the gap that's there? How economically valuable is the domain?