#381 – Chris Lattner: Future of Programming and AI

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Jun 2, 2023

Chris Lattner, a legendary figure in software and hardware engineering, known for his work on Swift and LLVM, discusses the exciting future of programming and AI. He introduces Mojo, a new superset of Python designed to enhance AI programming and accessibility. The conversation delves into the challenges of modernizing legacy code, optimizing performance for machine learning, and the vital role of community collaboration in programming. Lattner also reflects on the importance of diverse teams and the balance between AI's advancements and the need for human insight.

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INSIGHT

Mojo's Vision

Mojo aims to make AI infrastructure more accessible.
It bridges the gap between theoretical programming capability and practical usability.

ANECDOTE

Emoji File Extensions

Mojo supports emoji file extensions, a novel approach.
Git struggles with this, while GitHub and VS Code handle it correctly.

INSIGHT

General Purpose Mojo

Mojo, though AI-first, is designed as a general-purpose language.
It addresses common Python limitations by unifying high and low-level programming.

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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:
– iHerb: https://lexfridman.com/iherb and use code LEX to get 22% off your order
– Numerai: https://numer.ai/lex
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EPISODE LINKS:
Chris’s Twitter: https://twitter.com/clattner_llvm
Chris’s Website: http://nondot.org/sabre/
Mojo programming language: https://www.modular.com/mojo
Modular AI: https://modular.com/

PODCAST INFO:
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SUPPORT & CONNECT:
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– Medium: https://medium.com/@lexfridman

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