Now it's clear that knowledge graphs are far inferior to deep neural nets, but even still few people can explain the _root_ reason why.
I don't think Lenat's bet was a waste. I think it was sensible based on the information at the time.
The decision to research it largely in secret, closed source, I think was a mistake.
No. It depends. In general, two technologies can’t be assessed independently of the application.
There aren't any class of problems deep nets can't handle. Will they always be the most efficient or best performing solution ? No, but it will be possible.
You've overstated/exaggerated the claim. A narrower version of the claim is more interesting and more informative. History is almost never as simple as you imply.