Currently, Nostr operates in a relatively simple manner, analogous to a basic neural network. The potential exists to make Nostr more powerful by:

- Creating more complex, layered algorithms (like a deep neural network) to filter and process events.

- Allowing users to define custom models or rules for how events are prioritized or filtered, similar to how deep learning adjusts weights across layers.

- Leveraging the interconnected nature of Nostr profiles to create a more dynamic, evolving system for event filtering and content management.

Nostr could evolve from a simple, direct event handling system into a more complex and adaptive one, where multiple profiles contribute to filtering and processing, just as multiple layers in a neural network refine the input data.