Unverified50% confidenceFactExact time
The full chat history displayed in a chat application's interface is not necessarily consistent with the input the model actually receives at that moment; the application may summarize earlier conversation, omit content, or retrieve historical information on demand.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/15/2026
First Seen
Valid until: 1/13/2027
Sources
Related Entities
Related Claims
UnverifiedThe context window refers to the length of text a model can remember and reference in a single conversation; information beyond this range is truncated and discarded.74% similarUnverifiedConversational memory is stored in the form of memory summaries, which can become skewed as conversations grow, whereas global personalization instructions are hard-coded into the system prompt of every request and are not affected by memory degradation.72% similarUnverifiedChatGPT's previous Memory feature primarily recorded information that users explicitly or implicitly expressed in conversations, such as their profession, preferences, and habitual language style.72% similarUnverifiedConversational summary memory compresses historical interactions into a summary via an LLM, and the summary is iteratively updated whenever a new message is added.71% similarUnverifiedContext compaction is a class of techniques that distill existing conversation history into a more concise representation, typically by having the model generate a summary of earlier content to replace the original message list.70% similar
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