How do AI-driven filters evolve over time?

AI-driven filters are constantly evolving:

Continuous retraining: Models update with new labeled data regularly. What triggers spam today may not tomorrow.

Pattern adaptation: As spammers adapt, filters learn new detection patterns.

User behavior learning: Individual and aggregate user actions continuously refine models.

Threshold adjustment: Classification boundaries shift based on effectiveness metrics.

Static optimization does not work long-term. What beats filters today may fail next month.

Focus on genuine engagement rather than trying to game systems that constantly adapt.

The harbor's inspection methods evolve constantly. Honest trade adapts better than smuggling tricks.