Zico Colter

It's not that we have some moral imperative that we have to develop these tools. I mean, maybe there are, or we have to develop AI and AGI. Maybe that's true, but that's not what motivates me to develop them, right? I want to develop them because I want to use them and I want to be able to have them to reach that point. They have to be safe, right? It's a condition, it's a necessary condition.

And that's why I work on building and improving the safety of AI systems.

And that's why I work on building and improving the safety of AI systems.

And that's why I work on building and improving the safety of AI systems.

I, for a lot of my career, was thinking that model architectures really mattered. And by having clever, complex architectures and sub-modules inside architectures, that was the route to better AI systems. For the most part, I don't believe this as much anymore. I think basically models don't matter. Architectures don't matter. And that applies to transformers too.

I, for a lot of my career, was thinking that model architectures really mattered. And by having clever, complex architectures and sub-modules inside architectures, that was the route to better AI systems. For the most part, I don't believe this as much anymore. I think basically models don't matter. Architectures don't matter. And that applies to transformers too.

I, for a lot of my career, was thinking that model architectures really mattered. And by having clever, complex architectures and sub-modules inside architectures, that was the route to better AI systems. For the most part, I don't believe this as much anymore. I think basically models don't matter. Architectures don't matter. And that applies to transformers too.

I think, you know, anything could kind of work in their stead if we just spend enough time on it. And so I think that to a large extent, we're kind of post architecture in a lot of our AI work.

I think, you know, anything could kind of work in their stead if we just spend enough time on it. And so I think that to a large extent, we're kind of post architecture in a lot of our AI work.

I think, you know, anything could kind of work in their stead if we just spend enough time on it. And so I think that to a large extent, we're kind of post architecture in a lot of our AI work.

Kind of on the contrary, I thought that data was sort of, you know, data had to be highly curated to be valuable. And the value in data came essentially from very manual labeling of this data and human intensive curation.

Kind of on the contrary, I thought that data was sort of, you know, data had to be highly curated to be valuable. And the value in data came essentially from very manual labeling of this data and human intensive curation.

Kind of on the contrary, I thought that data was sort of, you know, data had to be highly curated to be valuable. And the value in data came essentially from very manual labeling of this data and human intensive curation.

The big, amazing insight of current AI is that we can, to a large extent, just suck up data that exists out there on the internet, train models based upon that, and get amazing things to come out of it. Not to say there's no value in curation. Of course, there's elements of this, but to a very large extent, this is kind of on the old paradigm of unsupervised learning. That's absolutely incredible.

The big, amazing insight of current AI is that we can, to a large extent, just suck up data that exists out there on the internet, train models based upon that, and get amazing things to come out of it. Not to say there's no value in curation. Of course, there's elements of this, but to a very large extent, this is kind of on the old paradigm of unsupervised learning. That's absolutely incredible.

The big, amazing insight of current AI is that we can, to a large extent, just suck up data that exists out there on the internet, train models based upon that, and get amazing things to come out of it. Not to say there's no value in curation. Of course, there's elements of this, but to a very large extent, this is kind of on the old paradigm of unsupervised learning. That's absolutely incredible.

Um, I got actually the, the, the, the day before I started as department head, I got an email from, from, from Brett, the chair of the board, just saying, Hey, do you want to talk about maybe joining the open AI board? Uh, so I figured, you know, I was already embarking on one massive career change. So why not, why not double down and just do, you know, do two at the same time.

Um, I got actually the, the, the, the day before I started as department head, I got an email from, from, from Brett, the chair of the board, just saying, Hey, do you want to talk about maybe joining the open AI board? Uh, so I figured, you know, I was already embarking on one massive career change. So why not, why not double down and just do, you know, do two at the same time.

Um, I got actually the, the, the, the day before I started as department head, I got an email from, from, from Brett, the chair of the board, just saying, Hey, do you want to talk about maybe joining the open AI board? Uh, so I figured, you know, I was already embarking on one massive career change. So why not, why not double down and just do, you know, do two at the same time.

But basically I, I, I started having some conversations with him and the rest of the board. I got very excited about the potential sort of provide my perspectives on AI and AI safety to the board and things went from there.