Rust's reputation for safety primarily centers around memory safety, but it does not guard against many common logical errors and edge cases. The article outlines various pitfalls in safe Rust, such as integer overflow, logic bugs, and improper handling of input, while providing strategies to mitigate these risks and improve overall application robustness.

Understanding AI systems requires recognizing their differences from traditional software, particularly regarding vulnerabilities and debugging. Misconceptions about AI's behavior and fixability arise from applying conventional software principles, leading to confusion between experts and novices. It is crucial to communicate these differences to ensure a realistic understanding of AI safety and reliability.