Karen Hao

And that's where you start to really understand the true reality of how this industry is

is unfolding around us.

Yes.

I think we should start with when AI started as a field.

So this was back in 1956, and there were a group of scientists that gathered at Dartmouth University to start a new discipline, a scientific discipline, to try and chase an ambition.

And specifically, an assistant professor at Dartmouth University, John McCarthy, decided to name this discipline artificial intelligence.

This was not the first name that he tried.

The previous year, he tried to name it automata studies.

And the reason why some of his colleagues were concerned about this name was because it pegged the idea of this discipline to recreating human intelligence.

And back then, as is true today, we have no scientific consensus around what human intelligence is.

There's no definition from psychology, biology, neurology.

And in fact, every attempt in history to quantify and rank human intelligence has been driven by nefarious motives.

It's been driven by a desire to prove scientifically that certain groups of people are inferior to other groups of people.

There are no goalposts for this field, and there are no goalposts for the industry when they say that they are ultimately trying to recreate AI systems that would be as smart as humans.

How do we even define what that means?

And when are we going to get there if we don't know how to define the destination?

And what that effectively means is that these companies can just use the term artificial general intelligence, which is now the term to refer to this ambitious goal to recreate human intelligence.

They can use it however they want to, and they can define and redefine it based on what is convenient for them.

So in OpenAI's history, it has defined and redefined it many times.

When Sam Altman is talking with Congress, AGI is a system that's going to cure cancer, solve climate change, cure poverty.