Mark Blyth

The control valve becomes unemployment. And it's not my unemployment. And it's not your unemployment. It's their unemployment. Right. That is the stakes of them being wrong if, in fact, they're wrong. Exactly.

The control valve becomes unemployment. And it's not my unemployment. And it's not your unemployment. It's their unemployment. Right. That is the stakes of them being wrong if, in fact, they're wrong. Exactly.

The control valve becomes unemployment. And it's not my unemployment. And it's not your unemployment. It's their unemployment. Right. That is the stakes of them being wrong if, in fact, they're wrong. Exactly.

Well, when you spend the past year writing a book on it, you're like, do you think you know one or two things about that? If I don't, I'm in trouble.

Well, when you spend the past year writing a book on it, you're like, do you think you know one or two things about that? If I don't, I'm in trouble.

Well, when you spend the past year writing a book on it, you're like, do you think you know one or two things about that? If I don't, I'm in trouble.

This is 20VC with me, Harry Stebbings, and we're sitting down today with one of my favorite writers in AI. He's been a big proponent in the belief that despite what many people think, increasing the amount of compute from this point will be unlikely to increase model performance significantly moving forward.

This is 20VC with me, Harry Stebbings, and we're sitting down today with one of my favorite writers in AI. He's been a big proponent in the belief that despite what many people think, increasing the amount of compute from this point will be unlikely to increase model performance significantly moving forward.

This is 20VC with me, Harry Stebbings, and we're sitting down today with one of my favorite writers in AI. He's been a big proponent in the belief that despite what many people think, increasing the amount of compute from this point will be unlikely to increase model performance significantly moving forward.

I'm thrilled to welcome Arvind Narayanan, Professor of Computer Science at Princeton and the Director of the Center for Information Technology Policy. This is an incredible discussion that goes very deep on the bottlenecks in AI today, and you can watch it on YouTube by searching for 20VC.

I'm thrilled to welcome Arvind Narayanan, Professor of Computer Science at Princeton and the Director of the Center for Information Technology Policy. This is an incredible discussion that goes very deep on the bottlenecks in AI today, and you can watch it on YouTube by searching for 20VC.

I'm thrilled to welcome Arvind Narayanan, Professor of Computer Science at Princeton and the Director of the Center for Information Technology Policy. This is an incredible discussion that goes very deep on the bottlenecks in AI today, and you can watch it on YouTube by searching for 20VC.

You have now arrived at your destination. Arvind, I am so excited for this, dude. I was telling you just now, I am one of your biggest fans on the Substack newsletter. I can't wait for the book. So thank you so much for joining me today. Thank you. I really appreciate that.

You have now arrived at your destination. Arvind, I am so excited for this, dude. I was telling you just now, I am one of your biggest fans on the Substack newsletter. I can't wait for the book. So thank you so much for joining me today. Thank you. I really appreciate that.

You have now arrived at your destination. Arvind, I am so excited for this, dude. I was telling you just now, I am one of your biggest fans on the Substack newsletter. I can't wait for the book. So thank you so much for joining me today. Thank you. I really appreciate that.

Now, I want to get pretty much straight into it, but for those that don't read the substat, which they should do, can you just provide a 60-second intro, some context on why you're so well-versed to speak on the topics that we are today?

Now, I want to get pretty much straight into it, but for those that don't read the substat, which they should do, can you just provide a 60-second intro, some context on why you're so well-versed to speak on the topics that we are today?

Now, I want to get pretty much straight into it, but for those that don't read the substat, which they should do, can you just provide a 60-second intro, some context on why you're so well-versed to speak on the topics that we are today?

I would just love to start because you have done some work in the cryptocurrency field, done a lot of work in the crypto field. I'd just love to start before we dive in deep on infrastructure. How does the AI hype today compare to Bitcoin hype? How is it the same and how is it different?

I would just love to start because you have done some work in the cryptocurrency field, done a lot of work in the crypto field. I'd just love to start before we dive in deep on infrastructure. How does the AI hype today compare to Bitcoin hype? How is it the same and how is it different?