I'm not sure that's right, everything was working correctly, it just didn't read out a low-probability move very deep.
I'm not sure that's right, everything was working correctly, it just didn't read out a low-probability move very deep.
From my reading, it essentially got AlphaGo into a state where it was no longer reading the board correctly. The algorithmic bug was play a decent but extremely improbable move and AlphaGo won't know how to respond.
Or by a similar argument, I think most people would say that if Lee Sedol hadn't played that move and the game continued 'normally' he would've lost like the other games. The rarity of the move is why he won, not the "strength".
Essentially they trained the app on too specific data. Their main fix was to retrain the next version from "scratch" instead of from moves humans are likely to make.