[netwanderer3]

It makes sense. Machine learning can only learn what it has already seen. Combining with connectivism from a neural network, it may come up with brand new concepts through linking existing ideas and elements. But since these new concepts are also new to itself as well, would the machine know how to interpret it correctly? Connectivism alone may help keep generating new links and connections, but to interpret those new elements correctly we would need something more than just a neural network.

Remember there is a very fine line between creativity and illusion. Technically there is not much of a difference because both are a distortion of reality. Even we humans have a hard time distinguishing this sometimes as many new inventions used to be deemed crazy at first. It looks like when it comes to concepts that we hadn't seen, we were also susceptible to the same flaw just like those machines.

I don't really know much about symbolic AI but can it really solve this problem? If it can then the human game may really be over!