I was addressing your statements regarding the capabilities of neural AI: > Anyway, all known AI techniques struggle with common sense reasoning. The majority

I was addressing your statements regarding the capabilities of neural AI: > Anyway, all known AI techniques struggle with common sense reasoning. The majority of ambiguities in natural language are distinct and uncorrelated. Combining known techniques is not going to solve the problem. > Statistical techniques underperform compared to symbolic rules no matter how much hardware you throw at the problem. The best empirical machine learning techniques to measure a system's capabilities are good enough for many practical purposes. AI's commonsense and language understanding differs from that of humans but it's not necessarily inferior to the average human's understanding, even in its current state. AI's understanding is shallower but more interconnected to more diverse domains of knowledge, which is very useful for practical purposes. We're not going to change our language to avoid confusing AI. If anything, it can already communicate, using our natural language, better than an average human in some practical contexts. I do agree though that AI research in language understanding is far from completed.