Alex Heath

It's like, how about we apply some of the things that we discussed, like this mechanism for truth,

this incentive to be truthful, to be unbiased, to be objective, to a lot of these questions, right?

Is there going to be an earthquake in California?

Where is hurricanes going to hit in Florida?

COVID, is it going to be a recession?

These questions that do actually impact people on their day-to-day, but today there's just like, it's like social media, where like the incentive is engagement, whereas prediction market, the incentive is truth.

And so that's really what I meant by that.

But I think that clip was taken out of context, out of a kind of broader, like kind of a broader explanation that I was giving.

That's a great question.

So yes, the answer is yes, definitely.

And I think that the way that I sort of describe it is like...

you have to have a balance.

And, you know, there are certain things that, for example, may be more engaging but less useful from a truth-seeking perspective, but that help kind of like the things that are like less engaging but more truth-seeking from a kind of forecast perspective, right?

So, and you have to balance out between those two.

It's a bit like,

And the example is like, you can look at a lot of marketplaces, right?

Like for example, maybe where Ubers are most needed are like in urban areas, but that's where it's harder to get riders and they're less needed in like, sorry, by rural areas, but it's mostly in urban areas, but you still have to build a critical mass in urban area to get to the rural.

And I think it's a little bit similar here.

Like you have to get enough of a critical mass in a certain places to basically get, for example, I, you know, for example, personally, I'm always interested in the more longer term forecast.

The things that are sort of like, will AI overtake?