However, I have zero subject matter expertise with physics, so my intuition is probably not worth much.
This concept seems to be worryingly lost in the flurry of excitement at using ML/AI in academic research by some.
They are just starting data collection at a higher frequency band that will allow higher resolution. Unfortunately our baseline is currently limited by the diameter of the earth so the only way to get sharper data is by using shorter wavelengths.
Is there a way to use the diameter of the earth "at this point in the orbit" to effectively make it into the diameter of the earth's orbit?
If we were to allow the Earth to rotate around the Sun and measure components of the same baseline at different times, we would violate this.
I don't know what exactly the tradoffs are, but I suspect this approach has a lower sensitivity due to size of the dishes, it's more difficult to get enough telescopes to form a good image, and transmitting the data back is likely to be a challenge (the black hole observations were shipped on hard drives instead of transmitted via the internet. Even achieving a broadband-speed transmission rate with a deep space object is difficult)