Unverified50% confidenceFactExact time
OpenAI directly discards historical reasoning data in multi-turn conversations, neither retaining nor returning the chain of thought, and therefore presents no target that can be distilled and stolen.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/11/2026
First Seen
Valid until: 12/10/2026
Sources
Related Entities
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Unverified将推理链隐藏在API后端并不等于真正保护它，只要模型行为可被外部观测和大量查询就存在被逆向工程的空间66% similarVerifiedThe Memory mechanism addresses the problem of information loss in long-term conversations caused by limited context windows by compressing and summarizing historical conversations to retain key logic and core facts.63% similarVerifiedWhen conversation history exceeds the context window limit, platforms use engineering methods such as truncation and summary compression to trim the context, a process that inevitably loses detail information.63% similarUnverifiedLarge models lack true long-term memory; every conversation starts from scratch, and they can only compensate by relying on external databases such as RAG (Retrieval-Augmented Generation).62% similar
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