The problem o42 solves

Large Language Models (LLM) require vast amounts of training data to learn and improve, typically sourced from public internet sources, resulting in terabytes of text data. However, with an estimated 64 zettabytes of data available globally, most of this data remains inaccessible due to privacy concerns, currently stored in private databases or files.

o42's Knowledge Bank allows for the monetization and sharing of private data in a manner that is safe, private, and equitable to use.

Plus, we are regenerating Xochimilco while we are at it.

Challenges I ran into

Since it is a native MacOs app, we had very limited access to base's SDKs that we would of loved to integrate, like smart wallets, nonetheless we will integrate them in the future.