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Your AI Assistant Doesn't Know You Yet. But It's Learning.
What if your AI assistant could actually remember you — not just your name, but how your preferences evolve over time?
Researchers from Meta have introduced PAHF — Personalized Agents from Human Feedback — a framework that lets AI agents learn who you are in real time, through the natural back-and-forth of interaction. Before acting, the agent asks targeted questions to avoid costly mistakes. After acting, it listens to your corrections and updates its understanding of you. No pre-collected data required. No static profiles. Just a system that gets smarter about you with every exchange.
For anyone deploying AI agents at scale — in enterprise, banking, or consumer applications — this is the missing piece: personalization that actually keeps up with people.
Inspired by the work of Kaiqu Liang, Julia Kruk, Shengyi Qian, Xianjun Yang, Shengjie Bi, Yuanshun Yao, Shaoliang Nie, Mingyang Zhang, Lijuan Liu, Jaime Fernández Fisac, Shuyan Zhou, and Saghar Hosseini, this episode was created using Google's NotebookLM.
Read the original paper here: https://arxiv.org/pdf/2602.16173
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By Anlie Arnaudy, Daniel Herbera and Guillaume FournierWhat if your AI assistant could actually remember you — not just your name, but how your preferences evolve over time?
Researchers from Meta have introduced PAHF — Personalized Agents from Human Feedback — a framework that lets AI agents learn who you are in real time, through the natural back-and-forth of interaction. Before acting, the agent asks targeted questions to avoid costly mistakes. After acting, it listens to your corrections and updates its understanding of you. No pre-collected data required. No static profiles. Just a system that gets smarter about you with every exchange.
For anyone deploying AI agents at scale — in enterprise, banking, or consumer applications — this is the missing piece: personalization that actually keeps up with people.
Inspired by the work of Kaiqu Liang, Julia Kruk, Shengyi Qian, Xianjun Yang, Shengjie Bi, Yuanshun Yao, Shaoliang Nie, Mingyang Zhang, Lijuan Liu, Jaime Fernández Fisac, Shuyan Zhou, and Saghar Hosseini, this episode was created using Google's NotebookLM.
Read the original paper here: https://arxiv.org/pdf/2602.16173