Oh, wow, oh, oh, oh, wow, oh, oh, wow.

Oh, wow.

Oh, my.

And so. Hello, you're listening to a special episode of the Science of Everything podcast. I'm your host, James Fodor.

In this episode, I have included an interview that I did with a fellow science podcaster, the Padverb

podcast. And in this interview, I talk about some of my research that I'm doing in my PhD,

looking at neural network models of language and how we can represent

linguistic concepts and semantic information in neural networks, and that language is represented in the

brain and in the human mind is quite different from the way that contemporary language models

in artificial intelligence systems. So there's some extended discussions about that.

We talk about back propagation, GPT3, chatbots and other such things. And at the end of the

episode, we talk a little bit about, we switch gears a little bit and talk about some of the

issues that I discuss in my economics growth podcast series episodes. So I thought this might be of interest. Check it out if

you are interested in those sort of topics. Otherwise, feel free to skip this one and wait until

the next episode comes out. But without further ado, I will pass over to the original recording.

This is the Padverb podcast. I'm your host, KMO, and I am speaking with fellow podcaster James Fodor.

James, welcome to the Padverb podcast.

Hi, it's a pleasure to be here. Thanks for having me.

So I am very impressed by your podcast. It's called The Science of Everything.

I have listened to several episodes. I will admit that I have kept my, I've mostly stuck to financial episodes, although I know

you cover a wide, wide variety of subject matter. And they're mostly solo shows, which, you know,

a conversation like we're having, which gets turned into a podcast is much easier to do than you

...