AI Model Convergence: Why Major Models Are Merging into One

AI Model Convergence is the phenomenon where scaling models independently discover the same representation of reality. From MIT’s research on the Platonic Representation Hypothesis to knowledge mechanisms in LLMs, we explore why vision and text models are merging into a unified ‘brain’ and what it means for modern development architecture.