awnist

6 ms·

1. 1.▲
   by awnist 5mo ago

   There is a one shot rewrite function now, but you're right, even when asking the LLM avoid some of the patterns, it will stubbornly repeat them. It's a bit more reliable with smaller fragments of text.
2. 2.▲
   by awnist 5mo ago

   Good idea, I did test on HN op/ed submissions and likely upgraded my own wetware slop radar in the process
3. 3.▲
   by awnist 5mo ago

   That's right, its tokenization and fragment rules use fairly simple heuristics that assume whitespace delimited words plus English language/punctuation. Proper CJK support would require language specific tokenization and morpholog
4. 4.▲
   by awnist 5mo ago

   Good idea! Nothing special about the Anthropic calls, would be simple to point at local models
5. 5.▲
   by awnist 5mo ago

   It isn’t an AI detector. It flags valid language patterns that have become LLM-output clichés through overuse. False positives are a given. and I'll never give up on em dashes
6. 6.▲
   by awnist 5mo ago

   Run it locally, Github is linked on the bottom left: https://github.com/awnist/slop-cop
7. 7.▲
   by awnist 5mo ago

   True. This is just an LLM cliché detector, highlighting stylistic habits they're currently prone to. You'll start noticing them everywhere when you internalize the patterns.