[tanilama]

I still hold hope. However, it seems naively exploit the function approximation capacity we have with deep learning can only go that far to understand our own language.

Maybe we need to look back and start from beginning and ask ourself: How does human learn, exactly? How do we learn with so few examples? How do we jointly learn image/audio/video/language with only one brain?

[amelius]

Perhaps we should consider working only on techniques which improve as more computational power is thrown at it.

[glup]

Computation won't help if we don't have the right representations. Arguably computation can help us discover the right representations but the space of possible representations is very, very large.