Large language models, unlike social media, are truth-seeking because their currency is getting the correct answer, which will help reduce political information asymmetry.
Cuban argues that LLMs have fundamentally different incentives than social media — they must be honest to maintain trust — and this truth-seeking quality will help people make more informed political decisions. ✦ AI generated
Mark Cuban · All-In Podcast · 2026-07-21 · original ↗
starts at this moment · 28:47
The thing that I think will save us as a world more than anything else in terms of information availability and reducing the information asymmetry as it applies to politics are large language models because large language models have to be as literate and literal and honest as they possibly can. They have to seek truth, otherwise you'll lose trust in them. Social media's currency is keeping you engaged. It's two different missions. People as they become more uncertain with their politics are going to go more and more to large language models and say, who should I vote for?
verbatim transcript · starts at 28:47
28:35come back and say, well, what do you think about this? What are your interests in this and da da da? And they'll give you honest answers. >> Yeah. And if you ask it, hey, what's a reasonable immigration policy? It'll give you a reasonable immigration policy, which is like, >> yeah, maybe shut the border and do a point-based system like Canada, New Zealand, >> whatever it may be, right? I've done the
28:54same thing and it's impressive. >> Very impressive. You know, my favorite troll now is like JD or, you know, AOC will, you know, they'll come out with whatever their craziness is on either side of the aisle. And then I'm like, ECRock, please vet these claims. [laughter] >> Be as objective and factual as possible. Check your work. >> Show your sources. >> And then it just replies to them. So,
29:13I've been just totally trolling Steven Miller. Um, >> oh my god. >> Who, you know, he's like >> anti-immigration. I'm very passionate about like legal immigration and recruiting great people because >> you need them. We need them. >> We need them. every cuz you're running a basketball team. Every time you get Dirk Nisky, somebody else doesn't have him on the team. You get Jaylen Brunson, he's not
29:33on the Mavericks anymore. Now he's on the Knicks. You know, like >> Well, that's why we come to these things in Europe, right? Yes. Because great talent, right? Smart people. Obviously, you guys are geniuses for being here, you know. Um but but at the same time, there's a different vibe in every European country and India and the whole rest of the world, right? And I think you're starting to see some
29:56entrepreneurs leave us >> Yep. >> to come here and that's scary and hopefully, you know, large language models seeking the truth will help educate people away from what the algorithms tell them. >> Yeah, I think it's like important. You optimistic now? Um, it's been pretty chaotic, but we're seeing such great progress. you're optimistic >> about >> let's start with America and then we'll go to humanity. Yeah.
30:25>> Yeah. No, I mean, you know, like every country, we have our issues. Um, ours just happen to be kind of insane. Um, >> it is pretty wild. >> Yeah. Um, [laughter] but the good news is, you know, we have term limits for our president. >> Yeah. >> And >> Yeah. And it seems like 12 three terms is going to be the one for president. I mean,
- ·LLMs must be literal and honest to maintain trust.
- ·Social media's currency is engagement, not accuracy.
- ·Two fundamentally different missions drive their incentives.
- ·LLMs help people make more informed political decisions.
- ·Voters will increasingly ask LLMs who to vote for.
- ·Uncertainty drives users toward honest, literal answers.