The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Mojo: A Supercharged Python for AI with Chris Lattner - #634
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Jun 19, 2023 
In a captivating discussion, Chris Lattner, co-founder and CEO of Modular AI and creator of the Swift programming language, dives into Mojo, a groundbreaking programming language designed for AI developers. He explains how Mojo bridges the gap between Python's ease of use and C++'s performance, tackling the limitations posed by Python, particularly the global interpreter lock. Lattner emphasizes Mojo's compatibility with existing Python libraries, its potential to enhance AI workflows, and the need for a unified approach in AI model deployment.
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Mojo's Significance
- Mojo aims to unify the fragmented AI development world of Python, C++, and CUDA.
- It offers Python's ease of use with high performance and accelerator access.
Mojo's Foundation
- Mojo leverages LLVM and MLIR, compiler technologies developed by Chris Lattner.
- MLIR, an evolution of LLVM, is crucial for supporting diverse AI accelerators.
Mojo's Production Advantages
- Mojo addresses Python's limitations for production AI by being faster and deployable as a single executable.
- It aims to unlock hardware potential while remaining accessible to Python programmers.
