Zico Colter

The real negative outcome is that people are not going to believe anything that they see anymore. Arguably, we are already well along this way where people basically don't believe anything that they read or that they see or anything else. It doesn't already conform to their current beliefs. It didn't even need AI to get there, but AI is absolutely an accelerant for this process.

The real negative outcome is that people are not going to believe anything that they see anymore. Arguably, we are already well along this way where people basically don't believe anything that they read or that they see or anything else. It doesn't already conform to their current beliefs. It didn't even need AI to get there, but AI is absolutely an accelerant for this process.

The real negative outcome is that people are not going to believe anything that they see anymore. Arguably, we are already well along this way where people basically don't believe anything that they read or that they see or anything else. It doesn't already conform to their current beliefs. It didn't even need AI to get there, but AI is absolutely an accelerant for this process.

It is a relatively new phenomenon that we have sort of a record of objective fact in the world. I mean, things like video didn't exist more than 100 years ago. Humans evolved at a time during an environment where all we could do was trust our close associates. That's how we believed things.

It is a relatively new phenomenon that we have sort of a record of objective fact in the world. I mean, things like video didn't exist more than 100 years ago. Humans evolved at a time during an environment where all we could do was trust our close associates. That's how we believed things.

It is a relatively new phenomenon that we have sort of a record of objective fact in the world. I mean, things like video didn't exist more than 100 years ago. Humans evolved at a time during an environment where all we could do was trust our close associates. That's how we believed things.

Great. Thanks. Wonderful to be here.

Great. Thanks. Wonderful to be here.

Great. Thanks. Wonderful to be here.

Sure. Absolutely. So I seem to have be collecting jobs here. I have a number of different roles. I'm first and foremost, a professor and the head of the machine learning department. at Carnegie Mellon. I've been here for about 12 years. And here, the machine learning department is really kind of unique because it's a whole department just for machine learning.

Sure. Absolutely. So I seem to have be collecting jobs here. I have a number of different roles. I'm first and foremost, a professor and the head of the machine learning department. at Carnegie Mellon. I've been here for about 12 years. And here, the machine learning department is really kind of unique because it's a whole department just for machine learning.

Sure. Absolutely. So I seem to have be collecting jobs here. I have a number of different roles. I'm first and foremost, a professor and the head of the machine learning department. at Carnegie Mellon. I've been here for about 12 years. And here, the machine learning department is really kind of unique because it's a whole department just for machine learning.

And I've been heading it up actually, as of quite recently, and get to immerse myself in the business and the thought of machine learning all day, every day. Also, I am recently on the board of OpenAI, which I joined at this point a couple of weeks ago, and it's been extremely exciting as well.

And I've been heading it up actually, as of quite recently, and get to immerse myself in the business and the thought of machine learning all day, every day. Also, I am recently on the board of OpenAI, which I joined at this point a couple of weeks ago, and it's been extremely exciting as well.

And I've been heading it up actually, as of quite recently, and get to immerse myself in the business and the thought of machine learning all day, every day. Also, I am recently on the board of OpenAI, which I joined at this point a couple of weeks ago, and it's been extremely exciting as well.

Right. So let's talk about AI as LLMs, but with, of course, the context that AI is a much, much broader topic than this. LLMs are amazing. The way they work at the most basic level, you take a lot of data from the internet, you train a model. And I know that's a very sort of colloquial term that we use here. But basically, what you do is you build a great big

Right. So let's talk about AI as LLMs, but with, of course, the context that AI is a much, much broader topic than this. LLMs are amazing. The way they work at the most basic level, you take a lot of data from the internet, you train a model. And I know that's a very sort of colloquial term that we use here. But basically, what you do is you build a great big

Right. So let's talk about AI as LLMs, but with, of course, the context that AI is a much, much broader topic than this. LLMs are amazing. The way they work at the most basic level, you take a lot of data from the internet, you train a model. And I know that's a very sort of colloquial term that we use here. But basically, what you do is you build a great big

set of kind of mathematical equations that will learn to predict the words in the sequence that is given to them. If you see the quick brown fox as your starting phrase of a sentence, it will predict the word jumped. We train a big model on predicting words on the internet.

set of kind of mathematical equations that will learn to predict the words in the sequence that is given to them. If you see the quick brown fox as your starting phrase of a sentence, it will predict the word jumped. We train a big model on predicting words on the internet.