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Even so, what's the worst-case scenario in biasing towards lower speed and assisting your vision system with a knowledge base?

You perform the task of vision 100% of the time driving. From a purely probabilistic standpoint, even assuming highly accurate ML, the relatively infrequent database updates still make for a sensible prior.

This is somewhat adjacent to what Gary Marcus has been arguing, and I think it makes a lot of sense; there seems to be no compelling reason to rely exclusively on primitives (i.e. vision) when good priors are easily accessible.