Karen Hao

They profit enormously off of this myth.

They've converged around the idea that you can brute force your way into models that they can sell to people for automating certain tasks that are financially lucrative.

Yeah.

Well, you know, I'm pretty sure it was Hinton that famously slash infamously said there would be no need for radiologists anymore.

There would be no need for radiologists anymore.

And he set a deadline that we've already passed.

I don't remember how many years.

Radiology is doing great as a profession.

Okay, so this once again goes back to this question of like, why do we build technology and why should we specifically be building AI?

Okay.

And for me, like the whole project of technology development advancement is not to advance technology for technology's sake.

It's to help people.

And there have been lots of research that has shown that actually the best outcomes for people in a healthcare setting is for the radiologist to have the AI model in their hands.

And for the human expert to use the AI model as a tool, as an input into their judgment, and it is that combination that leads to the most accurate and early diagnoses of certain types of cancer that then help improve the prognoses of the patient.

No.

Because of the way the technology works.

Because these are statistical.

I mean, currently the way that AI models are primarily developed, they're statistical engines.

You have what's called a neural network, which is a piece of software that has a bunch of densely connected nodes.

Yeah, pretty much.