Mojo Lang - Tomorrow's High Performance Python? (with Chris Lattner)

Some more generalized information to get started with: MLIR was spearheaded by the same person who created LLVM, to add additional features that Google needed to build compilers for its in-house hardware AI accelerators. Mojo is a new language that takes advantage of the new features enabled by MLIR, in the same way that Swift took advantage of the features previously enabled by LLVM. Here's an interview with Chris Lattner discussing Mojo in much more generalized terms: ▶ this video

in “Deep Dive into Ownership in Mojo” · View on HN

From Docs, [link] "This is 100% compatible because we use the CPython runtime without modification for full compatibility with existing Python libraries." At this point you need to either explain your objection, or just admit you are a troll. You haven't actually at any point in this exchange offered any actual argument beyond 'duh, you're wrong'. I'd be ok if you actually pointed to something like 'well technically, the mojo parts are compiled differently', or something. You say you worked there, but you're not even looking at their website. Creator Chris Lattner discussing why they used Python. ▶ this video Start at minute 12. "Mojo is a very extended version of Python".

in “Alibaba's new AI chip: Key specifications comparable to H20” · View on HN

Andrej Karpathy karpathy is a magician! But being the coolest kid on the block with pure C/CUDA implementation is not enough [link] Studying a baby Llama 2 model source code in pure Mojo is the next level [link] [link] Mojo Lang - Tomorrow's High Performance Python? (with Chris Lattner) ▶ this video Andrej Karpathy and Chris Lattner collab is on my wishlist ;)

in “Reproducing GPT-2 in llm.c” · View on HN