Is your organization more like a jellyfish or a flatworm?
The author's "Jellyfish and Flatworm story has been remarkably effective at helping ... [executives] visualize the impact of AI on their customers, their products, and their employees... this story is about why Knowledge Representation (KR) must be the core of any cost-effective long-term AI strategy... how LLMs..., Knowledge Graphs (KGs), and Reference Frames (RFs) are moving us closer to general AI and how building hybrids of these three knowledge representation strategies is the best path".
As the storytitle implies, the metaphor stems from the natural world, specifically the evolution of intelligence:
Evolution pushed animals' brains, or "predictive organs", to become capable of building more and more complex models of the outside world.
LLMs do not do this, and were "never designed to store accurate models of the real world... only a shadow of how we communicate about the world using language... [hence LLMs'] severe limitations with precision, reproducibility, truthfulness, performance, and explainability".
Knowledge graphs, on the other hand, "are the closest thing we have today to modeling our world in computers.
Our brains, finally, use Reference Frames to store data. These "evolved from building maps of our world... Unlike an LLM, their knowledge can be continually updated. And just like scale-out distributed knowledge graphs, their processing is done in parallel."
Unless your company is a jellyfish (simple product, few clients, no competitors) you are a flatworm, selling many products to many customers, for each product many competitors. "you need a complex model of your world... that include structure, relationships, precision, explainability, and the ability to add new complexity", if you are to be able to "simulate the impact of a price increase... predict the impact of a new marketing campaign... explain why sales of some items are dropping ... If you can’t do this ... your model of the real world is [probably] too simple and too flat without structure. You might need to invest in using a combination of knowledge graphs and LLMs to accelerate your ability to predict the future. "
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See also: Communication Strategy , Digital Transformation , Change & Project Management , Innovation Strategy , Productivity , Communications Strategy , Science&Technology , Business , Large language models