The Exchanges

Q you might want to do next, but going to do it for you, that's going to happen. And so it makes you effectively an operating system, don't you think? But not the operating system like an iOS, where you would like go open up the your phone and then tap different apps. It's almost as if all interaction with all apps will happen. Through this interface. Is that the ambition?

A I think that you could describe it that way, but I think of it a little differently. Like the way that I think about this is that what is the ideal interface to an AGI where we call it kind of a personal AGI. And I think that it's, again, the same interface that you and I are using right now. You just want to talk to an assistant, right? You want to talk to something that can go and work and operate on your behalf. And so That yes, like that agent, that AGI, that AI will have its own computer, right? It'll have its own access to things that maybe can, you know, like ideal coworker would be they can come over and type things on your computer, too. So some access and delegated access to your own own system. And, you know, maybe you delegate access to your inbox sometimes. Maybe it has its own inbox with some sort of some sort of, you know, window into into The things that it needs, you forward emails to it. These are not actually if you think about it, this is not unprecedented, right? It's like the way that you work with an assistant who's a person that we've we've actually or any coworker really we've spent a lot of time really thinking about how do you build these trust boundaries and make sure that you're able to operate together. And so I think of it as just a different thing. It's not it. You could think of it as an operating system, but an operating system is almost Someth…

AI assessment note: “I think that you could describe it that way, but I think of it a little differently.”

Q you might want to do next, but going to do it for you, that's going to happen. And so it makes you effectively an operating system, don't you think? But not the operating system like an iOS, where you would like go open up the your phone and then tap different apps. It's almost as if all interaction with all apps will happen. Through this interface. Is that the ambition?

A I think that you could describe it that way, but I think of it a little differently. Like the way that I think about this is that what is the ideal interface to an AGI where we call it kind of a personal AGI. And I think that it's, again, the same interface that you and I are using right now. You just want to talk to an assistant, right? You want to talk to something that can go and work and operate on your behalf. And so That yes, like that agent, that AGI, that AI will have its own computer, right? It'll have its own access to things that maybe can, you know, like ideal coworker would be they can come over and type things on your computer, too. So some access and delegated access to your own own system. And, you know, maybe you delegate access to your inbox sometimes. Maybe it has its own inbox with some sort of some sort of, you know, window into into The things that it needs, you forward emails to it. These are not actually if you think about it, this is not unprecedented, right? It's like the way that you work with an assistant who's a person that we've we've actually or any coworker really we've spent a lot of time really thinking about how do you build these trust boundaries and make sure that you're able to operate together. And so I think of it as just a different thing. It's not it. You could think of it as an operating system, but an operating system is almost Someth…

AI assessment note: “I think that you could describe it that way, but I think of it a little differently.”

Q evolutions that the models have gone through. Pre-training and fine tuning, reinforcement learning that gets it, uh, more equipped to solve problems step by step and go out in the, on the internet and do things. And now we're in this moment where they're, the models have learned through that process to use tools and correct me if I'm wrong on this one. What, what is next in that progression?

A Well, I think that the world that we're in is one of this increasing capability and depth of what the machine can do, and some of this is about, we've got this tool use, but now we also need to actually build really great tools. You think about something like computer use, an AI that can actually use a desktop, then it is really able to do anything that you can do, but we also have to build a little bit for the machine to think about how does, in the enterprise credentialing work, how does, how do audit trails and observability work? There's a lot of technology to build to catch up with what the core model capability is, and I think the overall direction of travel includes things like a really great speech interface, so you can just talk to your computer naturally, And just as natural as this conversation, and it understands you. It does what you need. It has good advice. It's able to surface that I've been working on this thing. I have a problem. Here's you wake up in the morning. It says, here's your daily report of how much progress your agents made overnight. Maybe it's running a business for you, which I think is going to be a huge application of this technology. The democratization of entrepreneurship is absolutely coming. And I'll say, here's these problems, there's this customer that's upset, you know, that they want to talk to a real human, like, you should go talk to …

AI assessment note: “the overall direction of travel includes things like a really great speech interface”

Q it's, like, now, instead of the one that's, like, far ahead on something like ChatGPT, in a real, in a real fight, I mean, you're seeing it come out of some of the reporting on what's happening within the company, the fact that there are no more, there's been meetings, there's no more side quests. At OpenAI, it's all focus on this. How's the environment or the vibe changed here?

A Well, I would say that for me personally, the scariest moment at OpenAI was actually after we launched ChatGPT, and I remember being at the holiday party and just feeling this vibe of week one. I have never felt that. I was like, no, that we, we are the underdog, and we always have been, right? The, the, the competitors in this space, established companies that have just Sort of much more capital, much more, you know, human resources, data, the whole, the whole thing. Why is OpenAI able to compete at all? And to some extent, the answer is only because we never feel complacent, right? We always feel like we are the challenger, and it actually, for me, has been a very healthy thing to see us start to see that in the marketplace, to see other competitors emerge and do a good job, and that that is You know, in my mind, you can never fixate on your competitors. If you focus on where they are, then you'll be where they are, and they'll already have moved. And I think that that's what's been happening in the other direction, right, is that a lot of people have been focused on exactly where we are, and we get to move. And I think that the It almost gives us this alignment, this unification of the company, and I kind of described how we almost thought of research and deployment as separate things, and now we really want to integrate them. Like, that to me is such a wonderful thing, and …

AI assessment note: “we never feel complacent, right? We always feel like we are the challenger”

Q being a competent AI research partner. Several researchers let 5.5 run variations of experiments overnight, given only a high level, uh, algorithmic idea, waking up to find a completed sweep dashboards and samples, never having touched the code or a terminal at all. Um, just, uh, if you can answer briefly on this, a two-parter, how do you do that? Uh, and, um, does that mean prompt engineering is dead?

A Um, number one, I think it really comes down to when we say there's a new class of capability, a new class of intelligence, that's really what we mean, right? The models are becoming much more intuitive to use because they have deeper understanding of what it is you're asking of them, right? That they really look at the context, try to understand and puzzle out, what am I being asked to do? And it really makes you realize, you know, to the second part, is prompt engineering dead? Which I actually think the prompt Engineering, in some ways, may be even more vibrant than before. Um, but you spend so much time right now trying to explain to your computer what you even want. You try to, like, pack in this context and be like, well, here's what's going on. Here's the situation. Here's the thing I want from you. And you're just like, why do I have to explain this to my computer? Right? Like, the whole thing is the computer should be doing the work to help me. Like, I don't want to have to be sort of, you know, breaking down the task, trying to explain to it step by step how to do things. I want to point it in a direction, and I want I want it to be able to take care of the details and to get me the result, again, in a way that I can observe and kind of provide feedback along the way, but I want it to be the driver of the, of the, of those, like, low-level execution. And so I think th…

AI assessment note: “to the second part, is prompt engineering dead? Which I actually think... may be even more vibrant”

Q um, ultimately doesn't a stronger country make you, uh, you know, sort of make your goals much more feasible, even if a candidate isn't, you know, fully in support of what you're doing, like shouldn't a stronger country, no matter what, be the North star of, of any political activity. Um, and if it's the, if that's the case, you know, then is that, is that part of the donation?

A So the way I look at this, so my wife and I made that donation. We've donated to bipartisan super PACs as well. I think this technology is one where it's coming quickly within the next couple of years, really going to transform everything, going to be the underpinning of the economy, and it's not popular, and we really want to support politicians who really lean into this technology, really engage with it, and so I think that certainly This technology is about uplifting us as a country. I, you know, I am a one issue donor. This is something where I feel like I have a unique contribution to, to make, but it's really about just expressing support for this technology is something that we should be leaning into as a country.

AI assessment note: “I am a one issue donor... This technology is about uplifting us as a country.”