Google just disrupted the game with NotebookLM, a tool that’s acting like a "fast transient"—rapidly shifting between states to create an advantage over competitors and users alike. By getting inside the OODA loop (Observe, Orient, Decide, Act), NotebookLM anticipates user needs and adapts faster than traditional tools.
Before diving into how NotebookLM achieves this, it’s worth understanding the modernized version of John Boyd’s OODA loop, aptly named the Entropic OODA Loop. Unlike Boyd’s original sketch, the Entropic OODA Loop integrates an explicit boundary that signifies the system's openness to its environment and features a vertical dimension signifying entropy levels. Here, entropy refers to the degree of uncertainty or disorder within the system. A higher entropy level represents more significant uncertainty, while a lower level indicates a more ordered state.
The "Unfolding Interaction with the Environment" pathway of the Entropic OODA Loop underscores the dynamic and reciprocal relationship between the system and its surroundings. It's within this complex framework that Google's NotebookLM becomes a formidable asset, capable of creating mismatches in the environment, thus getting inside the OODA loop of competitors and customers.
The audio recording you are listening to is from Google’s NotebookLM. Although the AI voices consistently pronounces “OODA” incorrectly, the voices do an excellent job at explaining what I call the Entropic OODA loop. Yes, the idea that speed is everything is not one that I share with our AI voices.
I guarantee you that you will learn more about the OODA loop in the next 12 minutes than you have in the last 12 years. Give the AI-generated discussion a whirl.
Background: A few years ago, I found myself in a flow state where I was able to make some “snowmobile” connections between the Free Energy Principle, Active Inference, the Entropic Brain Hypothesis, and Boyd’s OODA loop. I ended up writing more than 70 pages in what I originally titled A Trip Around the OODA Loop.
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