I have extended an AI career question with two helpful links ai.stackexchange.com/questions/12713/… which are directing to websites in which the same question was already discussed. It's about the number of needed AI engineers in the future. Unfortunately the OP has made my recommendation undo and he insists on his previous one sentence question.

I don't think that special actions are needed here but i think an improved prediction model what an asker will do make sense. There is a certain chance, that an edit is made undo, especially if the edit contains of URLs.

@DuttaA it occurs to me that if you're going to do a reduced version of Chess, it might be optimal to pick an establish form that at least some players and mathematicians care about. (For instance, many mathematicians seem to be obsessed with Amazons.) Idea is that if no one cares about the game, they won't have much interest in your result--at the very least makes it more difficult to get attention if you get a promising result.

I posted a question on r/abstractgames since there's a lot of knowledge about variations there: reddit.com/r/abstractgames/comments/bxigsz/…

@ManuelRodriguez I'll take a look.

@DuttaA Martin Gardner's 5x5 mini-chess proposal might be suitable--his name carries a lot of weight and he inspired a generation of mathematicians interested in puzzles and games. (en.wikipedia.org/wiki/Minichess)

Upside is there has been some analysis to provide a baseline for your results, and it's only been weakly solved.

Training a single AI model can emit as much carbon as five cars in their lifetimes

@DuttaA here's an interesting reduced chess variant from an established and well-regarded designer. What's cool about this one is it's cyclical in a formal strategic sense. (Classical Chess can get loopy, but it's inadvertent, and special end game conditions are applied to render it finite.)

Of interest because non-finite games occupy a higher complexity class. (EXPTIME vs. PSPACE)

mindsports.nl/index.php/arena/dragonfly/21-dragonfly-rules

@DukeZhou Well, I am not conversant with combinatorial Game theory, all i can do is make the function approximator find optimal policies for me. Let's see if it works though, otherwise maybe we will have to use some combinatorial knowledge

i'm actually a little surprised Dragonfly hasn't been formally analyzed

Here's another Chess variant "Los Alamos", specifically designed for computers with less processing power: en.wikipedia.org/wiki/Los_Alamos_chess

Los Alamos could be ideal because it is a part of game AI history.