{"id":"memory-as-adaptation","title":"Memory represented through adaptable parameters","regions":["computation","distributed-learning"],"question":"Which forms of memory can be represented in an adaptable layer while remaining retrievable, revisable, and attributable?","formulation":"Low-rank adaptation is proposed as a memory layer for long contexts, alongside core conceptual units and possible memory-specific update rules.","representations":[{"name":"Explicit memory with retrieval","affords":"Individual items remain directly inspectable.","loses":"Retrieval and context assembly have their own costs.","epistemic_kind":"reconstruction"},{"name":"Memory in an adaptable parameter layer","affords":"Can affect subsequent processing without replaying all text.","loses":"An update may entangle items and make selective erasure or source attribution difficult.","epistemic_kind":"reconstruction"}],"tension":"Behavior influenced by previous material is not the same as faithful, separately recoverable memory of it.","challenge":"How would the system revise one remembered item without damaging another or erasing its justification?","development":"active","epistemic_kind":"reconstruction","evidence":["basis-memory-as-adaptation"],"next_move":{"text":"Compare item recall, interference, revision, and selective removal against an explicit-memory baseline.","epistemic_kind":"model_proposed"},"open_questions":["Which forms of memory can be represented in an adaptable layer while remaining retrievable, revisable, and attributable?","How would the system revise one remembered item without damaging another or erasing its justification?"],"formal_status":"open_problem","version":1,"content_hash":"2bb91dbdf718df15c4a32e1b0b2d61a6a1381f5af2f60ef8a50e3f2be6be18da"}