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Open arrays would have been the answer, which I imagine is the point being made.


Could be. Back then I didn't have any detailed docs on hand.

It also wasn't the point. There was a number of completely unnecessary annoyances.

Academics writing compilers actually seemed like a good idea to people back then. Still makes me smile thinking of it sometimes.


Most of mainstream compilers are the output of academics work.


Only if you trace the chain of work back to its source, as far as I'm aware -- could be wrong.

A lot of modern compilers don't seem to be directly done by academics though. If you know of such modern examples I'd be happy to be proven wrong.


Who do you think does most of the work in LLVM for example?

It is full of PhD paper contributions.

For example, research students doing internships at Embecosm (https://embecosm.com), as many others, plenty of material from LLVM Developers Meeting sessions.


I see that I misread LLVM as LLM. My bad.

Thanks.


Uhhhh, I was talking about compilers however?

Obviously a lot of what passes for "AI" these days is researched and created by academics.


Sorry, I though LLVM, clang, Swift, D, and everything about it were compilers.


Maybe check the others comments first, I already admitted I mistook LLVM for LLM.


Missed the other ones, and could not delete any longer.


…what? Why bring "AI" into this?


I guess this is due to the tag line of the company. I am not familiar with the compiler/LLVM space so unsure how the different branches (compiler maintenance and AI tool infrastructure for example) are covered by the PHD internships, etc.


Oops, I severely misread LLVM as LLM!




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