I don’t think that’s true for SOTA models. The responses come just as fast in German as in English.

theoretically, if the model is properly trained, it should grok that влъхвъ and magician semantically are the seam thus must land relatively close in the latent space. the same way a cat from an image encodes the same way, so that it can decode later in arbitrary language.