I think this might be a bit premature. For the bulk of these tools (pandas/numpy/tensorflow/torch), most of their users have probably been using them for 3-5 years max.
A universal API standard is a nice idea, but I don't know that the ecosystem has been around long enough to justify this effort.
Given the asynchronous nature of consortiums though, maybe this exactly the right time to start talking about this.
This is about creating a standard for array computing in Python which has been around for more than 20 years. NumPy (which has been a de facto standard) has been around for 14 years and was based on Numeric which was around for 10 years before that. Pandas has been around almost 10 years now. The parts of the standard that are clear and will emerge are the parts that have been around and used by sufficient numbers for at least a decade.
A universal API standard is a nice idea, but I don't know that the ecosystem has been around long enough to justify this effort.
Given the asynchronous nature of consortiums though, maybe this exactly the right time to start talking about this.
Will be watching closely either way.