PC Gaming

Right, I see where the confusion comes from. I mention current LLMs to say that the architecture and pre-training procedure we currently have produce models that are already capable of generating the type of outputs that can be used in this context. I make no claims about the quality of the output, but some additional fine-tuning on the game's specific story can take things very far.

When you say LLMs are not AI, I'm guessing what you mean is that they are not artificial general intelligence (AGI), and that I agree with. But AI is very broad, including things as simple as A* search. Decision trees aren't any more AGI than LLMs and they've been able to produce some very compelling stories, so this isn't a very good argument. We don't need AGI to write good stories.

The compute resources required for these models is something that can be fixed as well. On the hardware side, consumer hardware are continuously getting more powerful over time. On the software side, we're also seeing a lot of great results from the smaller 7b parameter models, and these are general purpose language models. If you just need something for your one game, you can likely distill the model into something much smaller.

The training data that we used for the current generation of LLMs are already out there and curated. We know that this dataset can achieve the performance of today's LLMs, and you can continue to train on that same data in the future. As long as you control where your new data comes from, this is not an issue.