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Systems trained within this domain are less likely to crash when faced with unexpected user behavior.
It allows for the modeling of real-world human error in a digital environment.
The system is forced to react to data that has no statistical value.
It pushes the boundaries of how much "garbage data" a model can ingest before its core logic collapses.