prefer
When people say they prefer something, they mean they like it better than alternatives. It is a soft statement of taste, not a command. A person might prefer tea to coffee, or prefer to meet on Tuesday rather than Monday.
What a model may hear
- HTTP Prefer header web standards and REST APIs
- treat the word as a request header that asks the server to return partial content, handle asynchronously, or apply specific processing
- preference relation economics, game theory, and decision theory
- model it as a formal ordering over choices, often assuming transitivity and completeness axioms
- CSS prefers-* media query web design and accessibility
- read it as a user-system preference signal like prefers-reduced-motion or prefers-color-scheme
- Reinforcement Learning from Human Preferences AI training and alignment
- interpret it as training signal data comparing outputs pairwise to shape model behavior
- database query optimizer hint SQL and query planning
- understand it as a directive to prefer an index, join order, or execution plan
Where people and models part ways
“I prefer shorter answers”
Meant: please be concise when you reply to me
May be taken as: the model may treat this as a system-level preference to be stored and applied globally, or ignore it as non-binding
Say instead: “Please keep your answer under three sentences.”
“We prefer to handle this async”
Meant: let us deal with it later, not right now
May be taken as: the model may generate code using the HTTP Prefer: respond-async header or async/await patterns without confirming
Say instead: “Let us postpone this. Do not use async headers or patterns unless I ask.”
“I prefer the first option”
Meant: choose A over B
May be taken as: the model may log this as training preference data or apply it to future unrelated choices
Say instead: “For this specific choice, select the first option.”
“My users prefer dark mode”
Meant: most users like dark backgrounds
May be taken as: the model may write CSS using prefers-color-scheme without checking actual browser support or user settings
Say instead: “Most users want a dark theme. Show me how to detect that choice, not assume it.”
Tips
- Say 'for this request' or 'right now' to keep a preference local and temporary.
- If you mean a web standard, name it explicitly: 'the HTTP Prefer header' or 'prefers-reduced-motion'.
- Ask the model to confirm before it changes settings or remembers your stated preference.
- Distinguish taste from instruction: 'I like' is weaker than 'do this'.
- When giving feedback on model outputs, say 'this answer was better' rather than 'I prefer this' to avoid confusion with RLHF signals.
Often confused with
- preferable
- an adjective judging quality, not a request
- preferred
- often a stored default or configuration value
- priority
- ranking by urgency, not taste
- option
- a possible choice without the liking attached
- bias
- a systematic skew, not a personal taste
- favor
- similar in speech, rarely a technical header