# all (1-all.us) A person says "all" to mean everything or everyone in a group. It is a sweeping word that leaves nothing out. ## What a model may hear - glob pattern wildcard (Unix shells and file matching): match every file or directory name in a path - universal quantifier (logic and formal methods): assert a property holds for every element in a domain - batch dimension or every sample (machine learning frameworks): operate across the full tensor or dataset rather than a slice - aggregate function (SQL and databases): select or sum every row meeting a condition, often with GROUP BY - CSS universal selector (web styling): target every element on a page ## Where people and models part ways - Says: "Show me all the options" Means: list every choice I have May be taken as: return every possible configuration parameter including hidden or deprecated ones Say instead: "List the main options I can choose from now" - Says: "Do this for all users" Means: every person who uses my service May be taken as: apply the action to system accounts, test accounts, or inactive records too Say instead: "Do this for every active user account" - Says: "Delete all files" Means: clear out everything in this folder May be taken as: follow shell glob rules and also remove hidden files or recurse into subdirectories Say instead: "Delete every file in this folder, but not subfolders or hidden files" - Says: "All means everything" Means: I want complete coverage May be taken as: interpret as logical universal quantification requiring formal proof of completeness Say instead: "Include every item in this list, with no exceptions" ## Tips - Pair "all" with a clear boundary like "in this folder" or "from this list" - Say "every" instead of "all" when you want to emphasize individual items one by one - Specify what to exclude when you say all, since models often include edge cases - Use "all visible" or "all active" rather than bare "all" to limit scope - Check whether the model interpreted "all" as a wildcard pattern or as a total set ## Often confused with - every: emphasizes each member separately rather than the group as a whole - any: means at least one exists, not necessarily the complete set - *: a symbol that models read as a wildcard, not the spoken word - total: focuses on the sum or count rather than the collection itself - whole: treats the group as a single unit rather than its parts - each: processes items in sequence rather than all at once