Mark Cuban

Which go into, um, the environmental protection stuff, um, to try to find out that there's a little frog or whatever before something's built.

in my opinion, and the conversations I had with some of the Harris folks, is that's where AI really, really can apply. Because there's a process designed for the people in NEPA who go through and determine what should be approved and what data is required and what friction should be added or what friction should be removed. Artificial intelligence is great for that.

in my opinion, and the conversations I had with some of the Harris folks, is that's where AI really, really can apply. Because there's a process designed for the people in NEPA who go through and determine what should be approved and what data is required and what friction should be added or what friction should be removed. Artificial intelligence is great for that.

All the rules that the individuals on those councils and boards make those determinations you know, they have rules that they follow. They have guidebooks that they follow. They have, you know, it's onerous. Yeah. Yeah. It's onerous. There's tons of bureaucracy, but tons of data there. You put that into artificial intelligence into a large language model and you let, you know, you,

All the rules that the individuals on those councils and boards make those determinations you know, they have rules that they follow. They have guidebooks that they follow. They have, you know, it's onerous. Yeah. Yeah. It's onerous. There's tons of bureaucracy, but tons of data there. You put that into artificial intelligence into a large language model and you let, you know, you,

use that to train the large language model and then when a new project comes along you set up agents which then feed the questions and the answers and the answers to the responses um to that new organization whatever it is they may be building but is that does that abdicate our autonomy and because i almost look at it like common sense like if you remember uh in uh pennsylvania right this was not very long ago there was a huge fire on 95 and the highway collapsed

use that to train the large language model and then when a new project comes along you set up agents which then feed the questions and the answers and the answers to the responses um to that new organization whatever it is they may be building but is that does that abdicate our autonomy and because i almost look at it like common sense like if you remember uh in uh pennsylvania right this was not very long ago there was a huge fire on 95 and the highway collapsed

All the above, right? Because there was the bridge in Baltimore. There was a bridge in Pittsburgh where the same things happened. They turned around quickly. The challenge is who makes that decision? When it's obvious, it's easy. When it's not so obvious, it's far more difficult.

All the above, right? Because there was the bridge in Baltimore. There was a bridge in Pittsburgh where the same things happened. They turned around quickly. The challenge is who makes that decision? When it's obvious, it's easy. When it's not so obvious, it's far more difficult.

And so that's where the AI comes in in large language models because across the breadth, however many instances of evaluations that need to take place across the country, you don't want individuals having to make those decisions.

And so that's where the AI comes in in large language models because across the breadth, however many instances of evaluations that need to take place across the country, you don't want individuals having to make those decisions.

No, this is the soiling green thing, right?

No, this is the soiling green thing, right?

We're eating people now? It's the people. Oh, no. Because it was the people, the politicians that made those decisions who got us where we are right now. And so there's never, in my mind, a question that if you give somebody power, they're going to take that power and want more. If you're using AI, you wouldn't use it for the final decision.

We're eating people now? It's the people. Oh, no. Because it was the people, the politicians that made those decisions who got us where we are right now. And so there's never, in my mind, a question that if you give somebody power, they're going to take that power and want more. If you're using AI, you wouldn't use it for the final decision.

You would use it for all the administrivia that happens between the application being made and the point where a presentation is made to a board of some sort who would make the final decision.

You would use it for all the administrivia that happens between the application being made and the point where a presentation is made to a board of some sort who would make the final decision.

Right, because you're all using the same data and the same precedence. There's nothing that all of a sudden just presented itself. So if it's replicated over and over with the same data within that same realm, that's perfect application for AI. But you don't want to be completely dependent on AI because it's hard to know the genealogy of the decision.

Right, because you're all using the same data and the same precedence. There's nothing that all of a sudden just presented itself. So if it's replicated over and over with the same data within that same realm, that's perfect application for AI. But you don't want to be completely dependent on AI because it's hard to know the genealogy of the decision.

Meaning what exactly went into the final determination that the AI set out, right? So then that's where you have your board who says, okay, this is what the AI recommends. We have these additional comments to make on additional concerns. And then the board makes the final decision. But you consolidate that review process from what in some cases could be years, a decade to weeks.