Measuring and Controlling Instruction (In)Stability in Language Model Dialogs · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2402.10962/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:27:26 GMTMeasuring and Controlling Instruction (In)Stability in Language Model Dialogs — HN submissionhttps://news.ycombinator.com/item?id=45523648urn:hackerpapers:submission:2402.10962:45523648Thu, 09 Oct 2025 04:52:07 GMT<p>Show HN: EchoMode – A stability layer that prevents persona drift in LLMs</p><p>Hey HN! I’m Sean, and I built EchoMode to solve a frustrating problem with long LLM conversations: persona drift — when models slowly forget their intended tone, style, or role after multiple turns. The Problem: Even well-prompted models (GPT-4, Claude, Gemini) start to lose persona after ~8 turns. Studies like Measuring and Controlling Persona Drift (arXiv:2402.10962) confirm that tone consistency decays fast with topic shifts and long contexts. The Solution: EchoMode is a middleware protocol that keeps LLMs consistent by monitoring tone drift in real time and repairing deviations…</p><p>2 points; 1 discussion reply on HN. <a href="https://hackerpaper.kaipfister.de/p/2402.10962/">Paper and source history</a>. A submission is not an endorsement.</p>cs.CL