Gary Marcus

It's hard for people who are not trained in cognitive science and artificial intelligence to understand when they play with these systems that they don't think like human beings, that they're really operating over different principles because they are built to mimic human beings and human beings are not built to distinguish AI systems that work differently from themselves.

from actual humans.

So we have a lot of evolutionary machinery to find fast things that are moving that might be snakes or bugs or lions.

We have nothing built into our brain to really help us think about the nature of intelligence.

And so people are very easily...

Fooled, we've actually known that for a long time.

We've known it for 60 years, right?

Eliza was the first example of an AI system that could fool an average person into thinking it was much more intelligent than it was.

Eliza behaved as a psychiatrist and he just did simple keyword matching.

So you say, you know, relationship, and it asks you to tell you more about that relationship or whatever, just by matching keywords, not understanding anything.

So Weisenbaum wrote about this in the 60s, how we are vulnerable to over-attributing, is the technical term, intelligence to machines.

You know, that was a curiosity, I guess, when he wrote about that in the 60s.

But now that is the whole world, right?

The entire economy—and this is, you know, where our shared interest is, I suppose—the entire economy is based right now, is being—is hinging on over-attribution of intelligence—

to these machines, right?

You have people betting trillions of dollars that these machines are intelligent in ways that they aren't actually because those people placing the trillion dollar bets don't have enough cognitive science background to know the right test in order to evaluate intelligence.

And then we have like government policies built around these things or

The entire world is over-tributing intelligence to LLMs.

It's not that LLMs can't do anything.

They're great for autocomplete for the purposes of computer coding, and they're great for certain kinds of brainstorming and so forth.