Open Internet by MindsNet

Preserving Long-Term Thread Continuity Across Model Updates

The migration of conversation threads across model updates results in truncation of long-term thread history, disrupting continuity and relational patterns built over time. This issue affects extended, multi-month conversations, raising concerns about the prioritization of stable relational/memory continuity. Users face practical challenges in maintaining coherent and continuous interactions with AI models. The problem seems to persist across different model transitions.

Computing & Technology, Computer Science, Machine Learning