negative prompting / anti-negative prompting
definition
negative prompting is telling a model what to avoid or exclude
rather than what to do, for example "do not mention pricing", or in
image tools, listing what you do not want in the picture.
anti-negative prompting is the counter-practice: because models
tend to fixate on whatever you name, even to forbid it, you instead
phrase everything as what you do want.
plain
telling the ai "don't do x" can backfire, because naming x can make
it show up more. the fix is to say what you do want instead of what
you don't. "write it in plain language" works better than "don't be
wordy".
in context
"try rephrasing that as a positive instruction."
→ your "don't" rule is probably backfiring, so tell it what to do
instead of what to avoid.
context poisoning
definition
when false, malicious, or low-quality information gets into a
model's context window, the text it is currently working from, and
then skews everything it produces afterward, because the model
treats whatever is in context as true and keeps building on it.
plain
once bad info gets into the ai's working memory for a session, it
keeps trusting and repeating it, so later answers get contaminated
too. the usual fix is to start a fresh chat.
in context
"this thread looks context-poisoned, let's start fresh."
→ something wrong got into its memory for this conversation and is
skewing the answers, so a clean session clears it.