Stephen Wolfram

It is remarkable the extent to which you can address an LLM like you can address a human, so to speak.

And I think that is because it learned from all of us humans.

The reason that it responds to the ways that we will explain things to humans is because it is a representation of how humans talk about things.

But it is bizarre to me.

Some of the things that kind of are...

sort of expository mechanisms that I've learned in trying to write clear expositions in English, just for humans, that those same mechanisms seem to also be useful for the LLM.

Sure.

Yeah, I mean, just think about the computer security aspects of how you, you know, phishing and computer security, you know, phishing of humans and phishing of LLMs.

LLMs.

They're very similar kinds of things.

But I think, I mean, this...

You know, this whole thing about kind of the AI wranglers, AI psychologists, all that stuff will come.

The thing that I'm curious about is right now the things that are sort of prompt hacks are quite human.

They're quite sort of psychological human kinds of hacks.

The thing I do wonder about is if we understood more about kind of the science of the LLM, will there be some totally bizarre hack that's

that is, you know, like repeat a word three times and put a this, that, and the other there, that somehow plugs into some aspect of how the LLM works.

That is not, you know, that's kind of like an optical illusion for humans, for example.

Like one of these mind hacks for humans.

What are the mind hacks for the LLMs?

I don't think we know that yet.