Given an input clang will always give the same output, not quite the same for llms. Also nobody ever claimed compilers were intelligent or that they "understood" things
Symbolica is working on more deterministic/quicker models: https://www.symbolica.ai
I also wish it was that easy, but compiler determinism is hard, too: https://reproducible-builds.org
But there is nothing about a compiler that implies determinism. A compiler is defined by function (taking input on how you want something to work and outputting code), not design. Implementation details are irrelevant. If you use a neural network to compile C source into machine code instead of more traditional approaches, it most definitely remains a compiler. The function is unchanged.
[1] "Faulty" hardware found in the real world can sometimes break this assumption. But a C compiler running on faulty hardware can change the assumption too.
Did you do that stupid HN thing where you failed to read the entire comment and then went off to try it on faulty hardware?
Now try it on deterministic hardware.
But what are you asking for, exactly? Do you want me to copy and paste the output (so you can say it isn't real)? Are you asking for access to my hardware? What does sharing mean here?