Groundintilation
Groundintilation is a hypothetical concept that describes the process by which artificial intelligence systems might gain a fundamental, intuitive understanding of the physical world, similar to how humans learn through sensory experience. It suggests a departure from purely data-driven learning, where AI might develop an innate grasp of concepts like gravity, causality, and spatial relationships without explicit programming or massive datasets illustrating these principles.
The idea posits that advanced AI architectures could possess emergent properties allowing them to reason about
While currently theoretical, the concept of groundintilation is explored in discussions about artificial general intelligence (AGI).