Ever wondered how the AI behind tools like ChatGPT understands what you mean? It's all thanks to transformers, a revolutionary type of artificial intelligence model. But their inner workings have remained largely mysterious—until now. New research introduces ULTra, a framework that cracks open the 'black box' of transformers, revealing how they interpret language and images. ULTra shines a spotlight on 'latent tokens,' the building blocks of understanding within these models. Think of them as individual puzzle pieces that, when combined, form the complete picture of meaning. What's particularly exciting is how ULTra uses this knowledge to perform tasks like image segmentation without any specific training. Imagine an AI that can identify objects in an image simply by understanding the scene, just like a human would! This is a big step toward truly 'zero-shot' AI—models that can perform tasks they haven't explicitly been taught. ULTra has shown impressive results, outperforming existing methods in unsupervised image segmentation. It has even proven effective in interpreting large language models (LLMs) like those powering chatbots. This breakthrough not only sheds light on how transformers work but also paves the way for more robust, transparent, and reliable AI systems in the future. As researchers continue to refine techniques like ULTra, we can expect even more remarkable advancements in AI capabilities and understanding.