[hyperbole]

The argument the speaker makes is extremely weak - 1.0 software programs are built of building blocks modules, 2.0 software is machine learning - what point is trying to be made here?

We still break problems down when solving problems that can apply machine learning. There's no single "drive the car" neural net, rather the task of driving a car has been broken down into subcomponents, sign detection, pedestrian detection/object in front of the car detection - and then there's logic that encapsulates these classifiers using them as inputs to determine how best to steer and power the cars drive wheels.

Its a bit far fetched to believe programming has fundamentally changed, at least not yet

[fredguth]

I think the point of the talk was to say it is very different to engineer features vs to make features learnable. This is indeed very different than "software 1.0".

He also points that the challenges are not where academia is focusing.