{"id":"context-indexed-computation","title":"Context selecting transformations and active regions","regions":["computation","distributed-learning"],"question":"Can context change which parameters or operations are active rather than merely supplying more tokens?","formulation":"Context is proposed to select indexed transformations of token-associated parameters and activate specialized regions only when needed.","representations":[{"name":"Context carried as additional input","affords":"Uses one shared processing arrangement.","loses":"May allocate unnecessary work to irrelevant structure.","epistemic_kind":"reconstruction"},{"name":"Context selects a transformation or specialist region","affords":"Makes conditional computation explicit.","loses":"Routing, parameter modification, and representation change are different mechanisms.","epistemic_kind":"reconstruction"}],"tension":"An architectural resemblance is not an identity with an existing model family or a demonstrated efficiency gain.","challenge":"What is selected by context: an operation, an activation path, a parameter set, or a persistent update?","development":"active","epistemic_kind":"reconstruction","evidence":["basis-context-indexed-computation"],"next_move":{"text":"Specify one mechanism and compare accuracy, routing cost, and changes in behavior when context switches.","epistemic_kind":"model_proposed"},"open_questions":["Can context change which parameters or operations are active rather than merely supplying more tokens?","What is selected by context: an operation, an activation path, a parameter set, or a persistent update?"],"formal_status":"open_problem","version":1,"content_hash":"9129df91b84bfeadf6e9b1dfc547706521acae95ccfd14d4eb8aaf0ddd37ef6d"}