That's an eventual goal, which would be a general artificial intelligence (AGI). Different kind of AI models for (at least some) of the things you named already exist, it's just that OpenAI had all their eggs in the GPT/LLM basket, and GPTs deal with extrapolating text. It just so happened that with enough training data their text prediction also started giving somewhat believable and sometimes factual answers. (Mixed in with plenty of believable bullshit). Other data requires different training data, different models, and different finetuning, hence why it takes time.

It's highly likely for a company of OpenAI's size (especially after all the positive marketing and potential funding they got from ChatGPT in it's prime), that they already have multiple AI models for different kinds of data either in research, training, or finetuning already.

But even with all the individual pieces of an AGI existing, the technology to cross reference the different models doesn't exist yet. Because they are different models, and so they store and express their data in different ways. And it's not like training data exists for it either. And unlike physical beings like humans, it doesn't have any kind of way to "interact" and "experiment" with the data it knows to really form concrete connections backed up by factual evidence.