Signals and Threads Why ML Needs a New Programming Language with Chris Lattner
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Sep 3, 2025 
Chris Lattner, creator of LLVM and a key figure in developing Swift at Apple, dives into the exciting world of Mojo, a new programming language focused on enhancing GPU performance. He discusses the challenges of existing programming languages like C++ and how Mojo aims to revolutionize AI coding with metaprogramming and a unified type system. Lattner emphasizes the importance of making programming manageable while aiding developers in engaging with hardware complexities. His vision seeks to democratize AI compute and break the cycle of vendor control in technology.
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Fixing Structural Fragmentation In AI Compute
- AI compute stack is fragmented because hardware vendors build their own vertical software stacks.
- Modular aims to unify that foundation so software can run across diverse accelerators.
Don't Sell The Language — Sell The Platform
- Do not try to sell a language; provide the foundational platform and monetize enterprise services.
- Build tooling that helps platform teams manage fleets of GPUs reliably.
Portability Mustn't Sacrifice Full Performance
- Portability plus full hardware power is required for GPU-era software to succeed.
- Mojo exists because no existing language gives both portability and full control for accelerators.