Comment by crdrost

Why. Why would you want this.

The only framework we have figured out in which LLMs can build anything of use, requires LLMs to build a robot and then we expose the robot to the real world and the real world smacks it down and then we tell the LLMs about the wreckage. And we have to keep the feedback loops small and even then we have to make sure that the LLMs don't cheat. But you're not going to give it the opportunity to decrease the wealth tax or increase the income tax so it will never get the feedback it needs.

You can try to train a neural network with backpropagation to simulate the actual economy, but I think you don't have enough data to really train the network.

You can try to have it build a play economy where a bunch of agents have different needs and different skills and have to provide what they can when they can, but the "agent personalities" that you pick embed some sort of microeconomic outlook about what sort of rational purchasing agent exists -- and a lot of what markets do is just kind of random fad-chasing, not rationally modelable.

I just don't see why you'd use that square peg to fill this round hole. Just ask economics professors, they're happy to make those predictions.