Mikey Shulman

We should, you should not. You know, career advice, it's a very risky career because it may not work. You know, so just to be spicy, people should not join companies doing it just yet.

We should, you should not. You know, career advice, it's a very risky career because it may not work. You know, so just to be spicy, people should not join companies doing it just yet.

We should, you should not. You know, career advice, it's a very risky career because it may not work. You know, so just to be spicy, people should not join companies doing it just yet.

I agree with you. It's like a tragedy of the commons, but like it's an irrational decision right now, right? It's like it's going to need some massive government intervention, I think, in a good way to make it happen. And we should do that. But should the government fund it? I think so. Not venture investors. I don't think so. I don't think you're going to get your money back in a reasonable time.

I agree with you. It's like a tragedy of the commons, but like it's an irrational decision right now, right? It's like it's going to need some massive government intervention, I think, in a good way to make it happen. And we should do that. But should the government fund it? I think so. Not venture investors. I don't think so. I don't think you're going to get your money back in a reasonable time.

I agree with you. It's like a tragedy of the commons, but like it's an irrational decision right now, right? It's like it's going to need some massive government intervention, I think, in a good way to make it happen. And we should do that. But should the government fund it? I think so. Not venture investors. I don't think so. I don't think you're going to get your money back in a reasonable time.

Great question. Two completely different reasons, I think. And I'll preface this with building an AI company, you are in the business of trying to find talent and trying to find underappreciated talent, let's be honest, I will pay you less than OpenAI will pay you. And I need to find a reason to convince you to come join us.

Great question. Two completely different reasons, I think. And I'll preface this with building an AI company, you are in the business of trying to find talent and trying to find underappreciated talent, let's be honest, I will pay you less than OpenAI will pay you. And I need to find a reason to convince you to come join us.

Great question. Two completely different reasons, I think. And I'll preface this with building an AI company, you are in the business of trying to find talent and trying to find underappreciated talent, let's be honest, I will pay you less than OpenAI will pay you. And I need to find a reason to convince you to come join us.

And I think for economists, economists are great at thinking about natural experiments. They're great about doing kind of first principles reasoning in a way that isn't just like turn the crank, get better at this benchmark. But it's much better at thinking about what do these benchmarks really mean? Are there natural experiments that I can pursue there?

And I think for economists, economists are great at thinking about natural experiments. They're great about doing kind of first principles reasoning in a way that isn't just like turn the crank, get better at this benchmark. But it's much better at thinking about what do these benchmarks really mean? Are there natural experiments that I can pursue there?

And I think for economists, economists are great at thinking about natural experiments. They're great about doing kind of first principles reasoning in a way that isn't just like turn the crank, get better at this benchmark. But it's much better at thinking about what do these benchmarks really mean? Are there natural experiments that I can pursue there?

Because lots of economics research happens in kind of data poor environments. And I think those are really interesting perspectives. Physics, I'm maybe a little bit closer to. Experimental physicists just get good at running high quality experiments really quickly. And AI is an empirical discipline. And so whoever can run more high quality experiments quickly will win.

Because lots of economics research happens in kind of data poor environments. And I think those are really interesting perspectives. Physics, I'm maybe a little bit closer to. Experimental physicists just get good at running high quality experiments really quickly. And AI is an empirical discipline. And so whoever can run more high quality experiments quickly will win.

Because lots of economics research happens in kind of data poor environments. And I think those are really interesting perspectives. Physics, I'm maybe a little bit closer to. Experimental physicists just get good at running high quality experiments really quickly. And AI is an empirical discipline. And so whoever can run more high quality experiments quickly will win.

Yeah, we don't pay millions of dollars. So how do we compete? There's a couple of things. One is we're not in Silicon Valley. If you want to be in one of the cities where we are, we're headquartered in Cambridge, Massachusetts. We're kind of the coolest AI company, certainly in Cambridge, Massachusetts.

Yeah, we don't pay millions of dollars. So how do we compete? There's a couple of things. One is we're not in Silicon Valley. If you want to be in one of the cities where we are, we're headquartered in Cambridge, Massachusetts. We're kind of the coolest AI company, certainly in Cambridge, Massachusetts.

Yeah, we don't pay millions of dollars. So how do we compete? There's a couple of things. One is we're not in Silicon Valley. If you want to be in one of the cities where we are, we're headquartered in Cambridge, Massachusetts. We're kind of the coolest AI company, certainly in Cambridge, Massachusetts.

There's something else that goes back to what we were talking about before, which is that if you are interested in a different AI problem, in the problem of how do I align models not to objective truth, but to human taste, I think there's nowhere else to do it.

There's something else that goes back to what we were talking about before, which is that if you are interested in a different AI problem, in the problem of how do I align models not to objective truth, but to human taste, I think there's nowhere else to do it.