The idea that a general language model like GPT-3 can answer questions intelligently is utterly absurd. It's trained to get language right (where "right" is defined as similar enough to the way people speak (or mostly write) to be intelligible as language), but it does so without any underlying knowledge model to make the intelligible language relevant to any given area of knowledge. Human language is not knowledge; it's a means for articulating our knowledge (that is, domain specific models of the world) in a way that other people can understand and translate into their own particular models.

So what is needed is the capabilities of GPT-3 or other language generators sitting on top of domain specific knowledge models, and constrained by those models.

Asking GPT-3 a general knowledge question is like asking an articulate 5 year old a question like "how does gravity work?" You'll get gramatically meaningful answers that use the structure of the language correctly, but that are quite likely to have nothing to do with our actual understanding of physics.