AI starts thinking in images instead of words — and actually reasons better

Teaching a language model to think in pictures the way image generators work: instead of reasoning with discrete word tokens, it reasons over continuous space, removing a fundamental bottleneck.

This means multimodal AI could finally inherit the chain-of-thought reasoning and test-time scaling that makes large language models powerful, making them genuinely useful for both understanding and generating complex visual content.