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Even the strategy being used by the botter is obvious. Scrape off post titles, feed them into a LLM prompted with something like "Output a funny and short reply for each of the following prompts. Do not output any text besides said reply.", then comment the output.
I tried it, and here's how it turned out:
Sure, it is not the same replies, as this would depend on the exact prompt and the LLM bot being used. But note how it gets really close in spirit.
And this shit is trivial to do. Even for a non-programmer like me. Reddit might not allow you API access, but sometimes a simple scrapper does the trick.
@[email protected] mentioned the "default" name pattern, note that if necessary those could be also generated.
Your Gemini is way funnier in my opinion. I think he actually might have set up a trap for himself by asking it to produce what the LLM would consider a typical or average reply. Whereas by asking it to just make a short, funny comment, you're actually getting results that feel more natural.
For Gemini, only the first and last one read weird to me. But I think I would just assume that I'm missing some context to get the jokes, or something.
Whereas the actual replies from the OP actually reek of standard LLM drivel. The way it is trying so hard to sound casual and cool, but coming across as super awkward is just classic GPT.
Yeah, the botter might have overdone it.
Another thing that I realised is that you could actually do this in a semi-auto way, without coding a single line of code - using a plain browser and an auto-clicker. EDIT: I'm not saying that autoclicker+browser is how people trying to bot Reddit "should" do it. I'm using it to highlight that botting Reddit is an extremely low-hanging fruit, to the point that you expect lots of bots there.