What if an AI didn't just think in a straight line, but actually managed a team of internal agents to solve your problems? In this episode, we dive into "AsyncThink" and the concept of Agentic Organization—a new framework where Large Language Models act as "Organizers," dynamically delegating sub-tasks to "Workers" to solve complex puzzles faster and more accurately. It is not just about thinking harder; it is about thinking together.

Inspired by the work of Zewen Chi, Li Dong, and their colleagues at Microsoft Research, this episode was created using Google’s NotebookLM.

Read the original paper here: https://arxiv.org/abs/2510.26658