AI memory
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AI Hallucinations as Fast Contextual Completion
AI hallucinations often appear when a model produces an answer too quickly, without sufficiently reasoning through or verifying the information. The answer may sound correct because it fits the immediate context of the chat, but contextual fit is not the same as factual accuracy. Continue reading
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When Models Remember Temporary Emotions as Truth
This argument relates to research on personalization, model memory, affective computing, and sycophancy. However, its focus is narrower: how temporary negative self-descriptions can become persistent interpretive shortcuts in future model responses. Conversations with a model can move in both positive and negative directions. In most cases, the context of the chat is introduced by the… Continue reading
