Just saw that post as well, what an unexpected passage!
Perhaps the nuance here is that Julia does have a healthy and established community that a smaller (but still significant) number of people congregate, whereas ROCm unfortunately does not. I’d concede the last sentence if the author replaced numpy/scipy/pandas with torch/tensorflow because Julia’s deep learning community is proportionally much smaller than Python’s. Anecdotally, all of my research code is and continues to be written in Python. However, one would be hard-pressed to find a language community that has the same confluence of “backend” implementation experience, application domain knowledge and enthusiasm for implementing a competitive ML/DL ecosystem. That still leaves an organizational and human resource deficit, but we’re working on that 