That's good Mojo - Creating a Programming Language for an AI world with Chris Lattner

That's good Mojo - Creating a Programming Language for an AI world with Chris Lattner

What does it take to design a programming language from scratch when the target isn’t just CPUs, but GPUs, accelerators, and the entire AI stack? In this episode, I sit down with legendary language architect Chris Lattner to talk about Mojo — his ambitious attempt to rethink systems programming for the machine learning era.

We trace the arc from LLVM and Clang to Swift and now Mojo, unpacking the lessons Chris has carried forward into this new language. Mojo aims to combine Python’s ergonomics with C-level performance, but the real story is deeper: memory ownership, heterogeneous compute, compile-time metaprogramming, and giving developers precise control over how AI workloads hit silicon.

Chris shares the motivation behind Modular, why today’s AI infrastructure demands new abstractions, and how Mojo fits into a rapidly evolving ecosystem of ML frameworks and hardware backends. We also dig into developer experience, safety vs performance tradeoffs, and what it means to build a language that spans research notebooks all the way down to kernel-level execution.

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The Rise of The Claw with OpenClaw's Peter Steinberger

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The AI Vampire with Gas Town's Steve Yegge

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Kinder Code Reviews with AI? with Qodo's Nnenna Ndukwe

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Sandboxing is having a moment. As agents move from chat windows into terminals, repos, and production-adjacent workflows, the question is no longer “What can AI generate?” but “Where can it safely run...

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Where is AI taking us? - with The Pragmatic Programmer Gergely Orosz

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Fabulous Adventures in Data Structures and Algorithms with Eric Lippert

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Vjekoslav Krajačić on File Pilot and a return to fast UIs

Vjekoslav Krajačić on File Pilot and a return to fast UIs

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