Welcome back to Tech with Travis, where we delve into AI and cloud technology. Today, we explore the quirky yet serious issue of data poisoning in AI. Imagine training your dog to fetch, but it brings back a shoe instead of a ball—that's data poisoning! We discuss notable cases like Google DeepMind's ImageNet incident and the ConfusedPilot attack on RAG systems. These examples highlight how corrupted data can lead to unreliable AI outcomes. To combat this, we recommend enhanced data validation, secure training environments, and continuous monitoring. Stay informed and secure, and remember: never trust an AI that thinks bananas belong in a toaster!