Mojo: A Supercharged Python for AI with Chris Lattner - 634

Today we’re joined by Chris Lattner, Co-Founder and CEO of Modular. In our conversation with Chris, we discuss Mojo, a new programming language for AI developers. Mojo is unique in this space and simplifies things by making the entire stack accessible and understandable to people who are not compiler engineers. It also offers Python programmers the ability to make it high-performance and capable of running accelerators, making it more accessible to more people and researchers. We discuss the relationship between the Modular Engine and Mojo, the challenge of packaging Python, particularly when incorporating C code, and how Mojo aims to solve these problems to make the AI stack more dependable.
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📖 CHAPTERS
===============================
00:02:34 - Mojo - superset Python for AI.
00:07:54 - Modular speeds up AI deployment - boosts hardware potential
00:17:14 - How Jeremy Howard influenced the creation of Mojo
00:23:02 - Unified AI engine enables cross-hardware compatibility
00:36:49 - Packaging issues from incompatible Python/C code.
00:49:31 - Mojo is Python-ecosystem ready
00:55:58 - Mojo performance benefits
00:59:54 - Modular engine and Mojo for AI deployment.
🔗 LINKS & RESOURCES
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Modular - www.modular.com/
Mojo, a new programming language - www.modular.com/blog/a-unifie...
The Great ML Language (Un)Debate - • The Great ML Language ...
For the complete resource list for this episode, visit twimlai.com/go/634.
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[@markstumbris7824]

Like the idea of an AI engine, felt a little like that programming with Rust. Interacting with the compiler while coding was like programming with a partner🤖 Chris is an amazing dude, thanks for the video!

[@Hypotemused]

Recruiters are asking for 10 years experience with Mojo

[@boballen9095]

On the one hand, be sad for these recruiters. On the other, celebrate that they are unwittingly sending a clear "stay clear of this recruiter" signal.

[@suheimina855]

Chris, be safe, don't die, the world needs you👍👍

[@josephdtarango]

Targeting accelerators across a unified code base has been an engineering problem for decades and we have been using enhanced LLVM to target architectures. A unified and modular set of tools with an ubiquitous intermediate representation translator would be wonderful!

[@hickam16]

I really appreciate your pushing back and asking to explain, it really helped clarified a lot more about their model and get a little deeper.

[@ABailey-nm3fr]

Sam and Chris, great job. I hope to find your roadmap somewhere. "Mojo not complete" gives me pause for large enterprises.

[@aethermass]

Great conversation. I'm becoming more and more of a fan of Mojo because it solves problems that I care about. I am a data scientist that works in Scala and Python depending on the situation. If Mojo delivers on its promises, I will intend to move fully to Mojo.

[@user-gc5vb5zb7o]

How can we reach you out for a podcast

[@jreamer0]

I have no idea about ML but Mojo has me excited to learn more as a clueless GPT-cursor-copilot AI using coder... good interview

[@twimlai]

Glad you enjoyed it! Thanks for watching.

[@mohamedosman4929]

Thanks

[@kevinlkoehler]

I wonder if a project like blender with it's c++ and python could benefit.

[@nandoflorestan]

What is intolerable... is that Mojo is not even open source. Bleh.

[@fintech1378]

even Greg of OpenAI also mentioned the challenge of AI is overcoming the limitation of Python and working on C++ level

[@fintech1378]

has anybody tried Mojo here?