i helped Chris Callison-Burch design a class at upenn, called interactive fiction, which is a similar context to what Simon suggested. the real magic is that it reframes hallucinations as creative story telling. the usecase is SUPER fun if you imagine the LLM as a dungeon master telling a story that gets expanded over time.
the framework he and I built kept track of the game state over time and allowed saving and loading games as json. we could then send the full json to an LLM as part of the prompts to get it to react. the most neat part, imo, was when we realized we could have the LLM generate text for parts of the story, then analyze what it said to detect any items, locations, or characters not jn the game state, and then have it create json representations of the hallucinated objects that could be inserted into the game states. that sealed the deal for using hallucinations as creative story telling inside the context of a game.
i wasnt officially part of upenn at the time, so my name isnt listed on the site, but we wrote a paper about some of the things we did, such as this one, and you'll see me listed there https://www.cis.upenn.edu/~ccb/publications/dagger.pdf
Sounds similar to AI Dungeon which I believe ran on a fine-tuned version of GPT-2 "all the way" back in 2019. And honestly kind of reminded me of the "Mind Game" in the novel, Ender's Game.
Just want to say that I'm not an ai guy at all, but this has made me more excited about it than anything in a while. Really cool! Did you also do the one where you put "spells" in your code?
I share your feelings. What it most brings to mind for me is the infamous StackSort from the image alt text on XKCD comic 1185 (https://xkcd.com/1185/)
from gremllm import Gremllm
# Be sure to tell your gremllm what sort of thing it is
counter = Gremllm('counter')
counter.value = 5
counter.increment()
print(counter.value) # 6?
print(counter.to_roman_numerals()) # VI?
…I read the whole article at OP’s link, many comments off this thread…I even clicked into the college course material in https://news.ycombinator.com/item?id=44468452 …and not once did it occur to me why it was called “wet mode”…not once…
…until your comment. Here! Take my “lived through the 80’s and 90’s” card.
Hm. I'll improve the documentation to make it slightly more obvious. When I add after_midnight with malicious compliance mode and bright_light() to freeze implementations then it should be more obvious.
It is using the llm library, so you do the plugin and model management through that. Let's say you've already gotten ollama installed and the `gemma3n:e2b` model. Then you use the llm cli to add the ollama extension:
... also I don't know why it kept saying my value is None :) . The "6" is doubled because one must have been a print and the other is the return value.
I was chatting with Simon Willison (who's LLM library I use to power gremllm) on Discord and he suggested D&D use-cases. Kinda works!!!
(further attempts at this have ... varying results ...)i helped Chris Callison-Burch design a class at upenn, called interactive fiction, which is a similar context to what Simon suggested. the real magic is that it reframes hallucinations as creative story telling. the usecase is SUPER fun if you imagine the LLM as a dungeon master telling a story that gets expanded over time.
the framework he and I built kept track of the game state over time and allowed saving and loading games as json. we could then send the full json to an LLM as part of the prompts to get it to react. the most neat part, imo, was when we realized we could have the LLM generate text for parts of the story, then analyze what it said to detect any items, locations, or characters not jn the game state, and then have it create json representations of the hallucinated objects that could be inserted into the game states. that sealed the deal for using hallucinations as creative story telling inside the context of a game.
i assure you the D&D context is very fun! the class website might give you more ideas too https://interactive-fiction-class.org/
i wasnt officially part of upenn at the time, so my name isnt listed on the site, but we wrote a paper about some of the things we did, such as this one, and you'll see me listed there https://www.cis.upenn.edu/~ccb/publications/dagger.pdf
Sounds similar to AI Dungeon which I believe ran on a fine-tuned version of GPT-2 "all the way" back in 2019. And honestly kind of reminded me of the "Mind Game" in the novel, Ender's Game.
https://en.wikipedia.rg/wiki/AI_Dungeon
Just want to say that I'm not an ai guy at all, but this has made me more excited about it than anything in a while. Really cool! Did you also do the one where you put "spells" in your code?
I am appalled and delighted by this.
It feels like an AI cousin to the Python error steamroller (https://github.com/ajalt/fuckitpy).
Whenever I see this sort of thing I think that there might be a non-evil application for it. But then I think ... where's the fun in that?
I share your feelings. What it most brings to mind for me is the infamous StackSort from the image alt text on XKCD comic 1185 (https://xkcd.com/1185/)
Awesome, now I don't have to write mocks for testing!
Amazing!
Shameless plug: People who love-hate this might also love-hate vibeserver (https://github.com/lxgr/vibeserver).
I had some vague plans to make it self-hosting; this might make that even lower effort :)
Love it, I am here for exactly this sort of playful boundary nudging.
"Wet mode" is such a fantastically awful name. Definitely make me think twice about turning it on.
You know... Because if you get them wet they multiply, per the documentaries
…I read the whole article at OP’s link, many comments off this thread…I even clicked into the college course material in https://news.ycombinator.com/item?id=44468452 …and not once did it occur to me why it was called “wet mode”…not once…
…until your comment. Here! Take my “lived through the 80’s and 90’s” card.
Hm. I'll improve the documentation to make it slightly more obvious. When I add after_midnight with malicious compliance mode and bright_light() to freeze implementations then it should be more obvious.
I implemented something similar a couple months ago, but the principle was based on inspecting the code of the calling party.
https://github.com/cofob/autogenlib
Thanks, I hate it! Brilliant and absolutely disgusting.
This is horrifying. Please, go on. :D
How do I give it a base URL for API calls so I can point it at my ollama server?
It is using the llm library, so you do the plugin and model management through that. Let's say you've already gotten ollama installed and the `gemma3n:e2b` model. Then you use the llm cli to add the ollama extension:
and then you use whatever model you like, anything llm has installed. See https://llm.datasette.io/en/stable/plugins/installing-plugin... for plugin install info.Here is a sample session. You can't see it ... but it is very slow on my CPU-only non-apple machine (each response took like 30 seconds) :)
... also I don't know why it kept saying my value is None :) . The "6" is doubled because one must have been a print and the other is the return value.[dead]