Notifications have remained largely unchanged since the late 1990s, despite advances in technology over the past two decades. The author argues that notifications can be improved to provide a more personalized and relevant experience for users. With the increasing availability of data from various sources such as social media, behavioral patterns, and ecosystem interactions, it is possible to create intelligent predictive algorithms that analyze this data to determine when and how to send notifications. This could include features like smart timing, location-based targeting, grouping, and reactions that adapt to individual user behavior. The author suggests that a more conversational tone in notifications, similar to messaging apps, could also enhance their effectiveness. Ultimately, the goal is to create truly smart notifications that are both helpful and unobtrusive, leveraging feedback loops to refine their performance over time.