Shyam Sankar

And that's really permeated so much of how we organize ourselves to be able to build software at a scale that is world-beating by a long margin. The second best country in the world is Israel, and they can build canoes, not aircraft carriers. They can't get the culture of collaboration to scale even close to the level that we can.

This is why you see most Israeli founders, when they found their second company, they moved to New York to start it, because you're not going to get the big success that you want otherwise. And so then I think we should lean into that. You're not going to win the war by shooting bits at your adversary. At the end of the day, you have to bend metal.

This is why you see most Israeli founders, when they found their second company, they moved to New York to start it, because you're not going to get the big success that you want otherwise. And so then I think we should lean into that. You're not going to win the war by shooting bits at your adversary. At the end of the day, you have to bend metal.

This is why you see most Israeli founders, when they found their second company, they moved to New York to start it, because you're not going to get the big success that you want otherwise. And so then I think we should lean into that. You're not going to win the war by shooting bits at your adversary. At the end of the day, you have to bend metal.

Hardware is a critical capability, but we should do it asymmetrically. Our hardware should be way smarter than our adversaries. That's something that we have the capability uniquely to do. Even when you think about DeepSeq, which we have this Chinese AI model, you can see two things from it. They couldn't have built that model without essentially distilling or stealing this from OpenAI.

Hardware is a critical capability, but we should do it asymmetrically. Our hardware should be way smarter than our adversaries. That's something that we have the capability uniquely to do. Even when you think about DeepSeq, which we have this Chinese AI model, you can see two things from it. They couldn't have built that model without essentially distilling or stealing this from OpenAI.

Hardware is a critical capability, but we should do it asymmetrically. Our hardware should be way smarter than our adversaries. That's something that we have the capability uniquely to do. Even when you think about DeepSeq, which we have this Chinese AI model, you can see two things from it. They couldn't have built that model without essentially distilling or stealing this from OpenAI.

So you needed the requisite OpenAI investment. And then two, they did come up with a couple of very clever software optimizations, like novel innovative things that represent meaningful refinements on what's been happening here. But it is a refinement.

So you needed the requisite OpenAI investment. And then two, they did come up with a couple of very clever software optimizations, like novel innovative things that represent meaningful refinements on what's been happening here. But it is a refinement.

So you needed the requisite OpenAI investment. And then two, they did come up with a couple of very clever software optimizations, like novel innovative things that represent meaningful refinements on what's been happening here. But it is a refinement.

That as a precondition required, it's not a coincidence that all the frontier AI labs are within 50 miles, a 50 mile radius in San Francisco, right? That density of talent and the culture that's required to organize around it is an American superiority.

That as a precondition required, it's not a coincidence that all the frontier AI labs are within 50 miles, a 50 mile radius in San Francisco, right? That density of talent and the culture that's required to organize around it is an American superiority.

That as a precondition required, it's not a coincidence that all the frontier AI labs are within 50 miles, a 50 mile radius in San Francisco, right? That density of talent and the culture that's required to organize around it is an American superiority.

Thank you very much. Thank you very much. Thank you. Thank you. Thank you very much.

Thank you very much. Thank you very much. Thank you. Thank you. Thank you very much.

Thank you very much. Thank you very much. Thank you. Thank you. Thank you very much.

Okay. Thank you. Thank you very much.

Okay. Thank you. Thank you very much.

Okay. Thank you. Thank you very much.

Thank you. Thank you. Thank you very much. Thank you very much. Thank you. Thank you. Thank you.