[fizx]

Meaning exists in relationships, which its clear that the current generation of AI learns. An example is word2vec, which can learn that king - man + woman = queen, and simultaneously king - man + boy = prince, etc.

The current generation of image recognition is really missing an understanding of physics and 3d space. There's no understanding of what would happen if a dog moves its head around.

The next generation of algorithms might fix this. Some people are excited about "capsule networks", which are supposed to learn features that are able to be rotated significantly without breaking.

[Scene_Cast2]

I haven't seen any follow-ups on capsule networks since their big splash half a year ago. I'm guessing follow-up projects have a research latency of a year.