The large language models (LLM) of today learn from knowledge already stripped of fine context. In contrast, humans learn from experience immersed in Life on Earth, where meaning and context are inseparable. Human intelligence is embodied, contextual, and iterative while LLM intelligence is abstract, decontextualized, and somewhat laden in inertia. However, when comparing how human … Continue reading The Living Graph and the Trained Matrix →