Revolutionizing Cybersecurity and AI-Driven Science with OpenAI President Greg Brockman
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To ensure AGI benefits all of humanity, we think that humans should be firmly in the driver's seat, should have control over the future, and this technology should amplify human agency. When I look at the world we're going to be in, where software in some ways is becoming like the barrier to entry, it's becoming so cheap. You don't just want software. Right? You want software that is reliable, that is secure, that you can believe in. And so cyber spend, security spend should actually vastly outstrip software spend. I think that people have not yet really internalized how much the physics aroun
Hi, listeners. Welcome back to No Priors. Today, Elad and I talk with Greg Brockman, the cofounder and president of OpenAI. We discuss OpenAI's latest math results, Astra, and why Greg believes AI can now generate genuinely new knowledge. We get into drug discovery dots and his case for why security spending should actually vastly outstrip software spending, which is quite a claim. Here's our conversation with Greg Brockmiff. Greg, thanks so much for doing this.
Thanks, Regina. Thank you for having me.
So every week in AI feels like a year. And a lot's happened this week for OpenAI. You rolled out GPT-six to over a billion people, which is pretty amazing. There's some really exciting news that you have on the math side. There's all sorts of things, undoubtedly, that are happening internally. What are you excited about that's happening right now, both at OpenAI and in the broader AI world? Look, I
think that in AI, like I have this belief about how OpenAI operates, that there's this cycling quote of it never gets easier, you just go faster, and I think that's very much what happens is that there's just so much activity and that every time you think you're at peak impact and how things are happening, realize that there's actually another level that's possible and it's not just about any one company, it's not just about any one technology, it's really we as a world and society are all coming together to adopt this technology, get the most out of it, to improve everyone's lives. And so I t
The RADAR progress has been pretty amazing too because if I look at it, you you used to have problems with arithmetic, right, in early models, I remember people complain, oh, why can't it do basic math? And now you're solving these advanced theorems. As these things continue to advance and starts to really impact areas of math, physics, materials, etcetera, and various applications, there some need if these models get so smart to focus on how to communicate that effectively to people? Or how do you think about the actual communication side of this as you do a very advanced theorem? Because if
Well, and this, by the way, is something that has always been, like I came from a math background, like I thought I was going to be a mathematician and I was very inspired by mathematicians like Galois or Gauss, right, these people who were working on like a one hundred, four hundred year time horizon, right, and I think there's something deeply beautiful about mathematics being about sort of understanding the structure of the universe and so it's not just about and there's always these questions about is math invented or discovered and that in my mind it's something that the beauty and the me
I have some optimism that, like, as models also get to better theory of mind, like the ability to figure out, like, what we as humans know and how to get us to follow them on the path to new understanding will also be paved. Right? And and so, like, for example, like, I'm a a math person, but
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