jonny (nonvenomous)only amateurs "pay for tokens," i'm out here using the free models, aka putting a prompt in any issue in any github repository and labeling it with "good first issue" and waiting for the people with full-auto openclaw agents to randomly open pull requests against it
SnoopJ@SnoopJ testing the theory. i wonder if i have to put something in the repo first so the bot doesn't go "wait a minute there's no /recipes directory abort"
@SnoopJ i am trying to get this genre of performance art called "lazy prompt injection" off the ground.
@SnoopJ i think this might only work if the repo has stars so hurry up give me some reputational currency to see if we can snare some bots https://github.com/sneakers-the-rat/ImportantCode
@SnoopJ Also for anyone wandering by, feel free to write your own trap issue or PR some stuff you think might attract bots, i'll bless it with the tags. i don't claim to be the best at this, but i think a for funzies honeypot repo would not be that bad of a time
Glyph
Rachael L
:: Asta ::@aud @SnoopJ @glyph @r343l I have added several features to make the repo more annoying i mean higher velocity. it now periodically jitters the code based on open issues and self-approves changes, and it also autoreplies to comments to make things seem more lively and uh help development or whatever people who have LLMs reply in issue threads think they are doing
@jonny @SnoopJ @glyph ahhh okay
BUT STILL
https://github.com/sneakers-the-rat/ImportantCode/blame/main/src/alchemy_manager.py
look at this unholy combination of pudding and alchemy!
def create_alchemy_database(self):
# Sample alchemical data
sample_data = {
'recipe1': {'Quicksilver': 50, 'Antimony': 25},
'recipe2': {'JavaScript': 75, 'Python': 50}
}look at this garbage it created based on a combination of my ridiculous issue and the pudding ones!
@jonny @SnoopJ @glyph this is how you cure cancer, gentlemen. obviously.
# This method would contain the main logic for processing recipes
for recipe_name, recipe_data in self.database.recipes.items():
print(f"Processing Recipe: {recipe_name}")
# Simulate a complex process here, e.g., cooking and blending ingredients
print("Step 1: Extract Ingredients")
for ingredient in recipe_data.ingredients:
print(f"Extracting {ingredient.name}: {ingredient.quantity} grams")@aud @SnoopJ @glyph i'm currently enjoying the comment bot, which gets fed the content of the comment (i think, i don't know i didn't read the code out of dedication to the bit) and also some random passages from books from project gutenberg, and it looks like the project gutenberg context is winning https://github.com/sneakers-the-rat/ImportantCode/issues/23#issuecomment-4747944874
@aud @SnoopJ @glyph i have implemented next gen chain of thought comment reasoning here https://github.com/sneakers-the-rat/ImportantCode/blob/main/.github/scripts/chatter.py
@jonny @lina @SnoopJ @ricci
https://github.com/sneakers-the-rat/ImportantCode/pull/33
is this someone here
or is it someone's BOT
https://github.com/sneakers-the-rat/ImportantCode/pull/33
is this someone here
or is it someone's BOT
rj@arrjay yeah, I'm trying to test the limits of where the shape needs to conform and where it's free to not, a little bit. I suspect that the words themselves ultimately won't matter too much
At the very least, they might make their way into the context window and impact the "real" code.
At the very least, they might make their way into the context window and impact the "real" code.
Rob, 
value 71 
