LLMs need to compress information to be able to predict next words in as many contexts as possible.
Chess moves are simply tokens as any other.
Given enough chess training data, it would make sense to have part of the network trained to handle chess specifically instead of simply encoding basic lists of moves and follow-ups. The result would be a general purpose sub-network trained on chess.
Adding to my sibling comment, time is also mostly used as a coordination system.
Being offset by a few minutes would make aligning meetings with your remote coworker an even bigger nightmare than it is now.
Using caps doesn’t make this affirmation any more true.
While you’re correct that it does massively help, money is only a resource, which you can use to trade for a lot of things, but there are people, things and abstract concepts that money can’t buy.
Chess moves are simply tokens as any other. Given enough chess training data, it would make sense to have part of the network trained to handle chess specifically instead of simply encoding basic lists of moves and follow-ups. The result would be a general purpose sub-network trained on chess.