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Latent Space · September 14, 2023 · 78m
Doing it the Hard Way: Making the AI Engine and Language of the Future with Chris Lattner
Chris Lattner discusses why AI software infrastructure is fundamentally broken and how Modular and the Mojo programming language aim to fix it. He draws on his experience building LLVM and Swift to explain why the AI stack needs to be rebuilt from the ground up.
This summary was generated from show notes and public descriptions, not from a full transcript review. Details may contain inaccuracies.
Canon
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Lattner argues that the current AI software stack (Python + CUDA + custom kernels) is analogous to early computing before modern languages and compilers. It works but is held together with duct tape. AI needs its C/C++ moment: languages and tools that make hardware accessible without sacrificing performance.
Highlights
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The best programming language designs are discovered through empathy for the programmer, not cleverness of the language designer
Lattner draws on his experience creating Swift: the most successful language features were those that reduced cognitive load for the programmer, not those that were technically elegant. Language design is a UX problem, not a computer science problem.Was this useful?