I don't think that's accurate. Mojo is explicitly compiling tensor graphs that run on accelerators. it's not like PyTorch where python is providing the chassis but not the engine.

I don't think its going to be a good general HPC language just because its targeting a specific set of AI workloads, but they have shown some examples of synthesizing code which is comparable to hand-written kernels.

but its not out of the question from first principles

Additionally, as Intel, AMD and NVidia embrace Python JITs for their GPGPU, across all three major desktop OSes, the Mojo value becomes devalued.

Why rewrite in Mojo, if Intel, AMD and NVidia SDKs give first class support for Python, including writing kernels in a language subset.