Grant Harvey

So when you put that in the context of what you just said, it kind of makes you go, whoa, and take a step back.

One of the ideas in the essay that you wrote was making sure that it always identifies itself as an AI.

So never allowing it to pretend to be human, for example, which I think makes a lot of sense.

I talked to some of the people at IBM and they very much look at AI as just another tool and not in the kind of like AGI, feel the AGI of open AI.

So that's kind of interesting.

It's a good mantra, good mission.

But labeling it is really good.

But is there a tension between the user demand and user engagement that wants more human-like experiences and the imperative that you have to avoid that sort of mimicry?

Oh, yeah, that's so wild.

I was thinking about that with the three laws of robotics, and there was an essay I read, I don't even remember, a couple months ago now, about how we should add a fourth one, which is an AI may never deceive a human.

So, you know, there's like, AI cannot harm a human, AI cannot...

You know, there's like two or three other ones.

But but the the fourth one that wasn't added that we think we should add is it should not deceive humans.

And so part of that would be like, is there a way to almost hard code that like ability to deceive, like to to to make sure that they can't one misrepresent themselves as conscious when they're not.

And number two, deceive humans.

Is that even possible?

Yeah.

Yeah.

I agree.

Satya talks about that a lot in terms of like, who is liable when these things go out and make them, you know, a legal error or whatever, like who, who, who's responsible for the AI when they go out in the world.