More impressive would be adaptation to obstacles without clearly delineated edges, sticking landings on uneven/moving landing sites, and especially avoidance of landing sites which appear incapable of supporting its weight properly, particularly if it could do it well enough to generalise to novel courses.
The video hints the model may be able to do this to some extent (the high jump does show some apparently necessary compensating movement to avoid slipping off), but doesn't really demonstrate it.
E.g. A sleeping dog that is motionless, a valuable item, wet concrete.
I suppose I'm going out-of-scope, though.
"Parkour is a popular athletic sport that involves humans traversing obstacles in a highly dynamic manner like running on walls and ramps, long coordinated jumps, and high jumps across obstacles. This involves remarkable eye-muscle coordination since missing a step can be fatal. Further, because of the large torques exerted, human muscles tend to operate at the limits of their ability and limbs must be positioned in such a way as to maximize mechanical advantage. Hence, margins for error are razor thin, and to execute a successful maneuver, the athlete needs to make all the right moves. Understandably, this is a much more challenging task than walking or running and requires years of practice to master. Replicating this ability in robotics poses a massive software as well as hardware challenge as the robot would need to operate at the limits of hardware for extreme parkour."
Here's an example of real parkour: https://www.youtube.com/watch?v=5lp1oS0vXg0
They aren't doing parkour, let alone "extreme" parkour.
I'm not trying to diminish the accomplishment with respect to the state of the art of robotics, just bring some reality to the comparison against what humans are capable of.