OpenAI went all in on generative models, i.e. stable diffusion and large language models. DeepMind focused on reinforcement learning, tree search, plus alphafold approaches to biology. FAIR has translation, pytorch, and some LLM stuff in biology.

What OpenAI is missing though is any AI research in biology, but I bet they are working on it.

I'm not sure if this makes sense but OpenAI seems to be operating at a higher level of abstraction (AGI) where they are integrating modalities (text and image modality for now, probably speech next) vs the other places have taken a more focused applied approach.