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Why don't you think it will continue to progress?

I am of a similar opinion. There was a real revolution in ~2011-2013 with deep learning. These have achieved much better results in image/speech tasks. These gains have leveled off, and we're seeing some limitations.

At current trajectory, we're not headed towards a general intelligence. Progress has been made, but there are big gaps. Smart home devices are a great case in point. They are somewhat flexible in the voice commands they accept. Specific phrasing and pronunciation are not necessarily required. Their responses and speech, however, are all pre-programmed and templated by humans.

Edit: There is potential for more breakthroughs in the future, but I am not seeing them on the horizon at the moment.

Well, reinforcement learning should also be given a mention and revolutions there (e.g AlphaGo to AlphaZero) were much more recent

Post-2013 breakthroughs off top of my head are:

* Wavenet, now productionized at Google as text to speech

* Alpha[Go]Zero

* Neural Machine Translation, on production at Google

AFAIK, these are all implementations of deep learning or similar, not a fundamentally new architecture. We'll continue to see these as DL matures, but it doesn't address the shortcomings of the technique.

For more perspective: https://arxiv.org/abs/1801.00631

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