From Prompt to Adventures:Creating Games with LLMs and Restate Durable Functions
restate.dev
restate.dev
Basically to train another model, that will take the LLM and convert it into 3D shapes and put them in some 3D world that is understandable for humans.
Simpler example: represent an LLM as a green field with objects, where humans are the only agents:
You stand near a monkey, see chewing mouth nearby, go there (your prompt now is “monkey chews”), close by you see an arrow pointing at a banana, father away an arrow points at an apple, very far away at the horizon an arrow points at a tire (monkeys rarely chew tires).
So things close by are more likely tokens, things far away are less likely, you see all of them at once (maybe you’re on top of a hill to see farther). This way we can make a form of static place AI, where humans are the only agents
It's in ren'py, so the states are all hard-coded, LLM powers interactions with NPCs --including branching based on being able to convince them. So rather complementary to this project.
The dynamic features presented are interesting; at the same time, the lack of great consistency with LLMs makes me prefer their use for local tasks, and have a human make the global decisions.
Other interesting games (that are readily playable):
https://ai-murder-mystery.onrender.com/
[12B]: https://huggingface.co/LatitudeGames/Wayfarer-12B
[70B]: https://huggingface.co/LatitudeGames/Wayfarer-Large-70B-Llam...
> Seems like something that shouldn’t be trademarkable
It's not copyrightable, but it's exactly the kind of thing that would be trademarkable. It's just that it's definitely genericized at this point. I'm not sure many people associate it with a brand rather than a genre.