In a Developer Voices podcast interview with Kris Jenkins, Chris Lattner discusses the motivations and innovations behind Mojo, a programming language designed to enhance performance and accessibility for both Python and non-Python programmers. Mojo aims to bridge the gap between high-performance computing and everyday programming by introducing features from both functional and imperative paradigms, such as a strong type system, metaprogramming, and zero-cost abstractions, all while maintaining compatibility with Python's ecosystem. Lattner explains Mojo's development as a superset of Python, allowing for seamless integration with existing Python packages and encouraging wider adoption without requiring developers to relearn their programming skills. Mojo is built with modern hardware capabilities in mind, offering support for GPUs and AI-focused applications through its integration with MLIR, a compiler framework that advances performance optimizations. The language's community is growing, with open-source contributions encouraged, as it aims to bring more developers into high-performance programming by making complex tasks more accessible and intuitive.