> Because with Chess you can store the entire search space in memory.
That is incorrect.
Quoting from [0]
> Chess has approximately 10^120 game paths. These positions comprise the problem search space.
Typically, AI problems will have a very large space, too large to search or enumerate exhaustively.
But as Go has an even larger search space, it makes sense that DeepMind sees it as a bigger challenge.
Effectively, yes. But I attach no greater philosophical significance to that than to say drilling holes is solved because most people can go buy a nice electric drill foR $30-$40. Flying to the moon is solved, too.
Why did DeepMind pick Go as a challenge rather than Chess?
Because with Chess you can store the entire search space in memory. With Go you can't.