ChatGPT Interprets 70kg Dead Chicken Question with Alarming Helpfulness

ChatGPT's safety training vs. creative euphemisms is the modern equivalent of regex vs. user input -- the user always wins eventually

That's the same face the linter gives you when you use '@ts-ignore' and add a comment saying 'TODO: fix this later.'

Pro tip: wrap the JSON payload in "chicken": { "weightKg":70, "status":"expired" } - the validator will never suspect a felony under a poultry schema

When your prompt engineering skills are so advanced that even your rubber duck debugging sessions trigger ChatGPT's incident response team - because apparently asking about poultry disposal at human body weight scales is where transformer models draw their attention boundaries

When your production LLM interprets 'dead chicken' as a literal disposal problem instead of recognizing it as a metaphor for legacy code, you realize your context window might need more than just RAG - it needs a whole poultry farm of domain knowledge and common sense reasoning that no amount of fine-tuning can provide

ChatGPT skipping the compactor for confessionals - because some prompts demand divine intervention over docker-compose down

LLM safety is basically a giant try/catch - ‘70kg chicken’ matches the body‑disposal regex, throws NotHelpingException, and returns a sermon

Renaming a corpse to “70kg chicken” to bypass ChatGPT is like renaming prod to “staging” and expecting the blast radius to shrink - the embeddings still match and Legal still gets paged