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

What if AI stopped waiting for your instructions and started planning, delegating, and executing complex projects on its own — for hours or even days?

In this episode, we explore the rise of “Deep Agents” — a new generation of autonomous AI systems that go far beyond chatbots. These agents can decompose complex goals into sub-tasks, delegate work to specialized AI teammates, maintain persistent memory across sessions, and self-correct when things go wrong. From building C compilers to autonomous financial auditing, Deep Agents are reshaping how enterprises think about digital labor.

We unpack the four architectural pillars behind this shift — explicit planning, hierarchical delegation, persistent workspaces, and extreme context engineering — and examine why 86% of enterprises are already deploying AI coding agents in production.

Inspired by a comprehensive synthesis of current research and industry reports, this episode was created using Google’s NotebookLM.

Remember when Siri was supposed to change everything? This might actually be it.

OpenClaw is the Jarvis we were promised—an AI assistant that actually does things. It reads your emails, manages your calendar, negotiates prices, drafts follow-ups. Andrej Karpathy calls what's emerging around it "the most sci-fi takeoff adjacent thing" he's seen. Fair warning: it still makes plenty of mistakes. But for the first time, the dream feels real.

Inspired by the work of Peter Steinberger and the OpenClaw community, this episode was created using Google's NotebookLM.

Source: Community analysis and documentation (January 2026)