Or it has been (indefinitely) delayed for some reason?
We have this Neural Networks situation now. A simple classifier has been employed, some would say, beyond it’s intended use. But when you have a classifier, you can classify which objects belong to where. Is this is an egg, or it is an apple? Is this is a good Go position for the white, or it isn’t? Would that be a better Go position, had the white put the last token there? What about there? After a few hundred questions of this kind, the best move has been revealed. Every Go move can be milked this way.
Stretching the initial definition of classification works like a charm almost everywhere.
This way, a humble classification becomes a mighty prediction. What a nifty trick! Especially because the general intelligence is nothing more than (good) predictions everywhere. Nothing else is needed.
Say, that you want to invent the StarTreks replicator. You have to predict which configuration of atoms would reliably perform replications of sandwiches, shoes and of the replicators themselves.
This will be possible, as soon as those Neural Networks of Deep Mind/Google masters chemistry and some physics, to the degree they’ve mastered Go and Japanese-English translations.
Which may be too expensive in computing terms. And which might also not be that expensive at all! Perhaps, NN must do some self reflection (or self enhancing) first, to be able to storm the science of chemistry and some physics like they stormed Atari games not that long ago. On a superhuman way.
And I don’t even think, that Neural Networks are the best possible approach.
So, yes. The Singularity is nearer than it has ever been!