The Importance of Complexity in the Cloud Computing Industry

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Modular has like a bitter enemy that we're fighting against in the industry. It's one of these things where everybody knows it, but nobody is usually willing to talk about it. The bitter thing that we have to destroy that we're all struggling with and it's like fish can't see water, is complexity. And so what Modular is doing is we're saying, okay, we've built many of these things, right? So I've worked on TensorFlow and TPUs and things like that. Other folks on our team have worked on PyTorch Core. We've worked on Onyx one time. They haven't been rethought. There hasn't been a

Chris Lattner is a legendary software and hardware engineer, leading projects at Apple, Tesla, Google, SiFive, and Modular AI, including the development of Swift, LLVM, Clang, MLIR, CIRCT, TPUs, and Mojo. Please support this podcast by checking out our sponsors:
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Mojo programming language: https://www.modular.com/mojo
Modular AI: https://modular.com/

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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(06:38) – Mojo programming language
(16:55) – Code indentation
(25:22) – The power of autotuning
(35:12) – Typed programming languages
(51:56) – Immutability
(1:04:14) – Distributed deployment
(1:38:41) – Mojo vs CPython
(1:54:30) – Guido van Rossum
(2:01:31) – Mojo vs PyTorch vs TensorFlow
(2:04:55) – Swift programming language
(2:10:27) – Julia programming language
(2:15:32) – Switching programming languages
(2:24:58) – Mojo playground
(2:29:48) – Jeremy Howard
(2:40:34) – Function overloading
(2:48:59) – Error vs Exception
(2:56:39) – Mojo roadmap
(3:09:41) – Building a company
(3:21:27) – ChatGPT
(3:27:50) – Danger of AI
(3:31:44) – Future of programming
(3:35:01) – Advice for young people