And that's the heart of AI's core problem: an oversimplified world is needed in order for your research to produce short-term results that can sustain your project's existence. But trimming back nature's complex signals and noise also limits your solution/model so much that your system becomes too simplistic and fragile (AKA brittle) to thrive in the much-more-complex real world.

After 50+ years of AI research that hasn't scaled or meaningfully progressed on the fundamental capabilities needed by a synthetic mind, you'd think we'd agree more that simplifying reality into something easier to model is the wrong basis for creating AI that's more than a toy.