Games

In that specific context - of generating idle chit chat, sure. But is it ever going to be capable of generating the crucifixion quest from CP77, or Guild quests from Skyrim or the Festers Blue Star Bottlecaps from FONV?

or is it going to be more A New Settlement Needs Your Help from FO4, or Dunk the Shape / Kill X Enemy Ys from Destiny 2? which, yknow, we already have.

Generating idle text does not a great game make. Especially when you could just write it better.

And that's not to mention the impact on the VO actor - who is unlikely to want to sell the IP to their voice

There are already mods that add voices to mod-scripted lines for Skyrim and Fallout 4. As well as a joke mod where the author took all of the recorded voice lines for Deep Rock Galactic(DRG), ran them through AI translators 40 times, then had an AI record the end result using the intonation and inflection of the characters in DRG.

However, the quotes from MS in the article provide an insight into their plans.

1. Replace all localization teams.
2. Replace all QA teams with AI that just run the level infinitely.

Interestingly, both of those show a fundamental lack of understanding of what a LLM can do. Yes it can do basic translation, but it fails on context in translations. E.g:
The French translation "you are a fool" can be "tu es un imbecile" but can also be "vous etes un imbecile" depending on the relationship context of the people talking.

And asking AI to replace QA entirely.. oof, I guess I know to avoid MS games at launch from now on. Will be a lot of bugs.

I'm actually in the process of trying to get this setup to try myself. Wish me luck!

Apparently it was released December 21th, but I cannot find a single thing whatsoever about how it played out. Which by itself doesn't make it seem very successful.

There are some fundamental obstacles to that. I don't want, for instance, that a game AI does that which I tell it to do. I want to be surprised and presented with situations I haven't considered. However, LLMs replicate language and symbol patterns according to how they are trained. Their tendency is to be cliche, because cliche is the most expected outcome of any narrative situation.

There is also the matter that ultimately LLMs do not have a real understanding and opinions about the world and themes. They can give us description of trees, diffusion models can get us a picture of a tree, but they don't know what a tree is. They don't have the experiential and emotional ability to make their own mind of what a tree is and represents, they can only use and remix our words. For them to say something unique about trees, they are basically randomly trying stuff until something sticks, without no real basis of their own. We do not have true generalized AI to have this level of understanding and introspection.

I suppose that sufficiently advanced and thorough modelling might give them the appearance of these qualities... but at that point, why not just have the developers write these worlds and characters? Sure that content is much more limited than the potentially infinite LLM responses, but as you wring eternal content from an LLM, most likely you are going to end up leaving the scope of any parameters back into cliches and nonsense.

To be fair though, that depends on the type of game we are talking about. I doubt that a LLM's driven Baldur's Gate would be anywhere as good as the real thing by a long margin. But I suppose it could work for a game like Animal Crossing, where we don't mind the little characters constantly rambling catchphrases and nonsense.