I think it would be more useful to list concrete bugs/complaints that the Julia devs could address. Blanket/vague claims like "Julia for deep learning [...] so buggy" is unfalsifiable and un-addressable. It promotes gossip with tribal dynamics rather than helping ecosystems improve and helping people pick the right tools for their needs. This is even more so with pile-on second hand claims (though the above comment might be first-hand, but potentially out-of-date).

Also, it's now pretty easy to call Python from Julia (and vice versa) [1]. I haven't used it for deep learning, but I've been using it to implement my algorithms in Julia while making use of Jax-based libraries from Python so it's certainly quite smooth and ergonomic.

[1] https://juliapy.github.io/PythonCall.jl/