Mojo Lang - Tomorrow's High Performance Python? (with Chris Lattner)
Developer Voices1 HN recommender · recommended in 1 month, 2024-2025
64K views · 2 years ago · interview · dated
Developer Voices interviews Chris Lattner about Mojo, a Python-compatible language aimed at CPU/GPU performance built on LLVM and MLIR. It covers performance features, the type system and why Mojo uses Python syntax.
Pointed to as a general-purpose interview on Mojo's goals and design from its creator.
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3 comments from Hacker News
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".
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
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 ;)