Hey, this is Paris. I hope you enjoyed the Data Vampire series that we did back in October.

It's had a fantastic response. And for that series, I spoke to a bunch of experts.

And now we're releasing the full-length versions of those interviews for our supporters over on patreon.com.

And I wanted to give you a preview of what those interviews sound like.

So you can consider whether to go to

Patreon.com slash tech won't save us, become a supporter yourself, so you can learn even more

about the important topics that we dug into in that special series. So enjoy this clip from my

interview with Dan McQuillan. I feel like on the narrative side of things as you're talking about,

right, there's this idea of,

you know, on the one hand, you have these technologies that are inherently powerful and that can do

so many things that we didn't think that they could do before, right? And a lot of that is deception

and not realized in the actuality of the technology. But then we also have kind of the term artificial intelligence and how it suggests a lot of different things, but also is this kind of broad overarching term for many different forms of technology that can just be deployed, you know, whichever way people think.

I wonder about what you think more about that about that narrative side of things and how it is

deployed by these tech companies for their own benefit, really, and to try to cover over those

harms that you're talking about. I mean, I would generally refer to AI as a very, as you say,

it's a huge blanket term. I tend to pick on things that are based on some form of deep learning

onwards.

So the neural networks and their works, which includes sometimes called discriminative AI,

you know, things like image classification or recognition,

and then on up to generative AI and it's, you know, text generation or image generation, whatever.

That's what I'd call AI, but of course, AI used to refer to all sorts of things to be much more rudimentary forms of machine learning, I guess,

or much more straightforward forms of machine learning and even non-machine learning algorithms.

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