All AI Models Might be The Same

The Platonic Representation Hypothesis proposes that larger, more advanced AI models develop shared world representations. Evidence from language models, image recognition, and mechanistic interpretability supports this idea. The concept has practical applications, such as unsupervised embedding translation between models. If proven, it could lead to breakthroughs in ancient language decoding or cross-species communication. This theory suggests AI models may capture fundamental structures of reality as they evolve.