Part 4/8:
Contextual Awareness and Adjustments
The version demonstrates an impressive understanding of context clues and reactive driving. Users observed instances where the car appropriately adjusted speeds due to hazards, potential pedestrian crossings, or double-parked vehicles. This contextual awareness was enhanced through fleet learning, optimizing how the car reacts to various driving conditions without manual human input.
However, there were instances of inconsistency in certain situations, such as a sudden stop with a command to take over, only to have the vehicle then proceed into a parking stall automatically. While such instances showcased the car's evolving capabilities, they also highlighted some lingering uncertainties regarding its decision-making processes.