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I replaced Animal Crossing's dialogue with a live LLM by hacking GameCube memory

(joshfonseca.com)
868 points vuciv | 1 comments | 10 Sep 25 02:59 UTC | HN request time: 0s | source
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dolebirchwood ◴[10 Sep 25 04:35 UTC] No.45193344[source]▶
This is awesome. LLM-powered NPCs is one thing I'm most excited about in the future of gaming. Characters repeating the same scripted dialog over and over again is one of the biggest immersion breakers.
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malfist ◴[10 Sep 25 04:43 UTC] No.45193383[source]▶
I used to care about repeat scripted dialogue like you, until I took an arrow to the knee
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Arisaka1 ◴[10 Sep 25 07:16 UTC] No.45194317[source]▶
Yep. I can see how relying on non-repetitive dialogue generated by LLM's will inevitably make us lose common ground scenarios that end up being memorable moments, like the arrow to the knee from Skyrim or "such devastation! this was not my intention" from Final Fantasy 14. A way to bypass this problem is to keep the important dialogue fixed, but this only one of the problems.

Another issue would be emphasizing the meaninglessness of the dialogue. For example, playing Trails in the Sky has lots of NPC dialogue that's repetitive, but at least the dialogue is relevant with how the NPC's life progresses in the grander scheme of things, such as having difficulty with her entrance exams, or having an argument with his fiancé. It's not main dialogue but adds flavor for anyone who cares about the world enough to interact with the citizens.

I don't think I'd like to interact with characters that I know whatever it is they have to say is generated on the fly and adds nothing other than random tidbits. The novelty would quickly wear off.

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1. cubefox ◴[10 Sep 25 07:55 UTC] No.45194604{3}[source]▶
A better application of LLMs could be merely using them as a text parser in text adventures. NPCs could continue to have some hidden, hard coded information or abilities, here stored in the context window, and the LLM is used to provide that information to the the player he (or she) puts in roughly the right words. Rather than exactly the right words.