Pointless? If compiled mojo is faster, more memory-safe, and more hardware independent, that doesn’t seem pointless at all to me.
reply(And now in the age of LLMs, the barriers to get started with a new programming language are lower than ever)
Eventually we will all be writing COBOL and how English turns into machine code is irrelevant.
replyDo you know CUDA or Triton? The point of Mojo was to replace GPU kernel programming langs with a Pythonic one that was more familiar
replyAnd Mojo will die because nvidia is not interested in maintaining any semblance of backwards compatibility when it comes to CUDA. It's going to be a perpetual race forwards, and whenever nvidia upgrades CUDA, you're going to be stuck there twiddling your thumbs and waiting for Mojo to become compatible.
replyAdditionally, anyone who has seen how Swift evolved should be wary of Lattner saying "the language is mostly stable", or even "the language is released".
It's not true that Nvidia doesn't care about CUDA backwards compatibility. The invention of TileIR was motivated entirely by that problem. GPU architectures are supported by the full tool suites for at least 10 years by CUDA (that's longer than they are for graphics).
replyNvidia is also a major contributor to MLIR, which they use for TileIR and ClangIR, so should a compatibility break occur it wouldn't be entirely up to Mojo to fix it.
None of these things are true except the ClangIR thing
replythis language predates the rise of "AI" (you probably mean harnessed LLMs, but I'll forgive you) by several years. This is the 1.0 release.
replyThis is the team behind MLIR, they have been in this field for 10 years or so.
replyDoes it? Mojo was announced 6 months after ChatGPT was released.
replySounds like you're just lazy. Which is fine. You'll probably have a okay career. But not a great one.
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