A year ago this [0] table tennis robot backed by Google DeepMind was discussed on HN.

It plays much worse and the HN discussion is anchored around whether it's OK to call it "human-level" or if the authors should have clarified that they meant a human who doesn't actually play table tennis. But it was accepted as being SOTA at that time.

What happened since then? This looks like the kind of level of advance we see in, say, coding AIs, but I thought physical robotics was advancing much more slowly.

A partial answer is that the new robot cheats in ways that DeepMind didn't seem to. It has high speed cameras all over the room and can detect spin by observing the logo on the ball. But I'm not sure this explains such a big advance.

[0] https://news.ycombinator.com/item?id=43861207

Don't table tennis players learn to predict how the ball will act based on their opponents movements? Seems like if they aren't able to do that with a robot opponent (who doesn't look or behave like a human) then they wouldn't be able to play at their best.

Reminds me of the Mitch Hedberg joke: "The depressing thing about tennis is that no matter how good I get, I'll never be as good as a wall."

I wonder if a top player with access to a robot like this can get an extra edge in training?

Cool. Now let's see two robots play and if it's fun let it become it's own thing. Other than that, this could be used for training actual players.