Here's the full YouTube video where she's complaining about why FSD Beta takes so long at a stop sign and wants to creep so much into the intersection:
The current moving object network for predicting vehicles needs to see quite a bit of the vehicle to classify it correctly whereas a human would see even just the top of a vehicle and know the rest of the vehicle is occluded by the fence (notice no visualized crossing vehicle below):
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Even with the new video occupancy network, there would need to be some classification to understand the larger picture behavior of these are vehicles taking turns at a stop sign instead of just "here's some moving blobs."
Arguably, FSD Beta is being extra cautious in its creeping behavior because potentially there could be a very short vehicle like a kid on a bike that natural human behavior of assuming a tall-enough vehicle would be seen might accidentally miss.