I’ve been thinking about how traditional game AI can be improved by generative models. One of the biggest problems with games like Civ is that the AI strategy is predictable - especially if you’ve played a few dozen hours.
LLMs with some decent harnesses could build up unpredictable - but internally consistent - strategies per each new game you play.
This is close to a proof of concept for those improvements.
even being able to scheme with / backstab leaders, and they would "understand" all that's happened (and acts accordingly) would be so fun
- reply in a specific way, like a specific JSON schema, or in the voice of a character - be very good at classifying text (e.g. emails, or spam) - be a great summarizer for large amounts of text, e.g. turn emails into short titles or url slugs - adding tags/categories per your pre-defined rules (e.g. for communities, tagging content, marketing) - for detecting spam, or duplicates, or flagging things
You won't be able to write code or prose with these, but they're great for a huge array of very narrow set of use cases
What's neat about "stupid" models like this is that they're less likely to go off and dream up a bunch of irrelevant content, because they don't know much about the world / won't have too much context to pull from