Mojo is a programming language built on the modern MLIR compiler technology, aiming to offer Python developers an approachable way to achieve high-performance code optimization across various hardware, including CPUs and GPUs. It incorporates ergonomic and memory safety features from languages like Rust, while simplifying complex concepts such as borrowing, eager destruction, and SIMD optimizations. Unlike Rust, Mojo defaults to borrowing, eliminating potential inefficiencies like implicit memcpy, and supports efficient SIMD operations by design. Mojo's eager destruction frees memory on last use, which is particularly beneficial for AI applications by optimizing memory usage and compile times. Despite taking inspiration from Rust, Mojo addresses some of its limitations, particularly for AI applications, by offering faster compile times and maintaining simplicity for developers transitioning from dynamic languages like Python.