I haven’t stated nothing has changed — obviously much has to get better results (and I wasn’t talking about just NN — the field is far bigger). But fundamentally the types of problems being solved — identifying and segmenting images, speech-to-text, etc, are the same. We haven’t gotten anywhere in terms of _understanding_ what’s in that speech that just got turned into text, for example. Sure models like BERT have more command of language than anything previously, but it cannot be used in an AGI sense to make sense of a passage at a fundamental level, or tell you _why_ something it “read” occurred.