CLIP, which powers diffusion models, creates a joint embeddings space for text and images. There's a lot of active work on extending these multimodal embedding spaces to audio and video. Microsoft has a paper just a week or so ago showing that llm's with a joint embeddings trained on images can do pretty amazing things, and (iirc) with better days efficiency than a text only model.

These things are already here; it's just a matter of when they get out of the research labs... Which is happening fast.

https://arxiv.org/abs/2302.14045