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This paper models the interaction between a user and an AI-driven recommendation system, analyzing optimal communication and recommendation set sizes under different sampling schemes to maximize expected utility.
The article argues that the most significant recent shift in AI is not about intelligence but memory—AI systems remembering user preferences, habits, and ongoing projects, transforming from mere tools into context-aware assistants.
Introduces MPT benchmark and PRefine method for cross-session personalized tool calling that captures user choice reasoning with minimal token overhead.
OpenAI is introducing custom instructions for ChatGPT, allowing users to set persistent preferences and requirements that the model will consider across all conversations. The feature launches in beta for Plus plan users and will expand to all users in coming weeks.