Distinct AI Models Seem To Converge On How They Encode Reality | Quanta Magazine

Researchers argue that as AI models grow more powerful, they may be converging toward a singular 'Platonic' way to represent the world. This hypothesis, inspired by Plato's allegory of the cave, suggests that different AI models, despite being trained on different datasets or data types, are beginning to develop similar internal representations of reality. A growing body of research supports this idea, though it remains a topic of debate among researchers.