Current AI models face a persistent problem: they're locked into static historical datasets, making them expensive to maintain and quick to become outdated in fast-moving markets. Real-time adaptation? Most systems just can't keep up. That's where the continuous learning model changes the game—users feed live market signals directly into the system, allowing models to stay sharp and responsive to actual conditions rather than yesterday's data. This approach transforms how adaptive intelligence works in crypto and DeFi environments where conditions shift by the hour.