Mark Zuckerberg

I think that that's, I guess, one of the... Bioweapons are one of the areas where I think the people who are most worried about this stuff are focused.

And I think that makes a lot of sense to think about that.

And I think that there are certain mitigations.

You can try to not train certain knowledge into the model, right?

There's different things.

But yeah, I mean, at some level, I mean, if you get a sufficiently bad actor and you don't have other AI that can sort of balance them and understand what's going on and what the threats are, then that could be a risk.

So I think that that's one of the things that we need to watch out for.

Um,

Yeah.

I mean, I think that that's not necessarily, I mean, right now it's, we see a lot of hallucinations, right?

So I think it's more, more that, um, um, I think it's an, it's an interesting question how you would tell the difference between a hallucination and deception, but yeah, I mean, I look, I mean, I think that there's a lot of risks and things to think about the, um,

The flip side of all this is that there are also a lot of... I try to, in running our company at least, balance what I think of as these longer-term theoretical risks.

with what I actually think are quite real risks that exist today.

So when you talk about deception, the form of that that I worry about most is people using this to generate misinformation and then pump that through, whether it's our networks or others.

So the way that we've basically...

combated a lot of this type of harmful content is by building AI systems that are smarter than the adversarial ones.

This kind of informs part of my theory on this.

If you look at the different types of harm that people do or try to do through social networks...

There are ones that are not very adversarial.

So for example, like hate speech, I would say is not super adversarial in the sense that like people aren't getting better at being racist, right?