Tristan Harris

Let's just steel man for a second.

So why would they say it could cure cancer?

I mean, it seems intuitive.

AI understands language, patterns in language.

So just the same way you can understand patterns in text and generate chat GPT essays, you could understand patterns in DNA and understand, you know, oncology.

Let's just steel man for a second why people believe because it's not like it's wrong, but it's seductively false and kind of an optical illusion, almost like a magic trick.

Right.

So we have lots of mammograms.

We have lots of results that confirm whether that mammogram did have a cancer or not, which means you can train a more and more accurate model.

That one's solid.

Correct.

So what are some of the other narrow AI applications that Word's helping?

Right, so this is like if I read not just the entire internet, but all biology textbooks, had access to every science lab, had a robot arm doing lots of studies, plus integrating it with the GPT-7 trained data center, you know, with Sam Allman's Stargate cluster, that's just combining so much information that it's going to magically find all the needles in all the haystacks.

Kind of that vision of ASI, finding cures to cancer, right?

What actually is cancer?

Okay, so let's go back to the promise made by CEOs.

You have Dario Amadei from Anthropic who talks about compressing 100 years of biological progress into five to 10 years by creating what he calls a country of geniuses in a data center that are all dedicated to that.

And that's obviously a really compelling idea.

I mean, just to go into that thought experiment, imagine the last 100 years of scientific progress.

Just like see that in your mind's eye, all of the things that we got over the last 100 years.