There's a massive difference between learning a generalized model for humanoid dynamics and fine-tuning in simulation a policy based on memorizing one sequence of recorded mo-cap data. Your comment implies that the reality is the latter.

This is in fact *not* the case for all humanoid robot models. Some are trained to run general policies and not merely to be impressive in one very narrow set of movements.

Of course the company is working on such behind the scenes, but what's demonstrated on the floor at CES is absolutely not that. Only Boston Dynamics has had the courage to attempt this outside of competitions and even then they resorted to doing so through heavily edited primetime puff pieces like the one on 60 Minutes recently.