awnist
No user record in our sample, but awnist has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
No user record in our sample, but awnist has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
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.
Good idea, I did test on HN op/ed submissions and likely upgraded my own wetware slop radar in the process
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…
Good idea! Nothing special about the Anthropic calls, would be simple to point at local models
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
Run it locally, Github is linked on the bottom left: https://github.com/awnist/slop-cop
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.
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