I firmly believe he was right to say:
"Those people who think they know everything are a great annoyance to those of us who do."
For others interested, here's the list with all his works:
http://www.asimovonline.com/oldsite/asimov_catalogue.html
I'm just reading
http://www.asimovreviews.net/Books/Book225.html
It's available in iBooks.
Still I admit that by expecting and actively promoting "more" he inspires people who otherwise wouldn't be motivated.
An interesting anecdote from the article is the first video call in 1964. That "invention" of the video call wasn't even an important event on the way to ubiquitous video calling. Modern video calls are a practically an inevitable outcome of a process driven by Moore's law and the internet. The idea of invention followed by iteration leading to ubiquity just doesn't apply here.
I think this is the strength and weakness of Ray Kurzweil (I like Ray Kurzweil warts, misfires and all). You might say that he gets caught by this gotcha. He expects an initial invention followed by improvements and refinements to launch a self propelled economic cycle like engines and computers did. Those things are rare and truly paradigm shifting. Also hard to predict.
OTOH, you might say he's on the right track because he's looking for the paradigm shifts. AI, Immortality. Etc.
I personally read Kurzweil similarly to the way I read Asimov. It's a form of art. I like Kurzweil's ideas aesthetically.
Futurists like Kurzweil seem to forecast much more drastic changes in human behavior (although the link to predictions made by RK is actually a lot more accurate than I would have guessed. Still out there, but none of them seem "impossible" to me. He seems to mainly just be too aggressive in his "when."
And in his spare time, a PHD in biochem, and a university professor of biochemistry, and author of a couple dozen popular science non-fiction books. Not exactly the kind of guy who merely wrote Jar Jar Bink's movie lines all day, or decided which red shirt gets it on Trek.
Similarly automatic translation. These are just tough problems that will take time to solve and even in the heady anything-is-possible-90s that was obvious to anyone who had the remotest understanding of what they were dealing with.
The "vision" for automated cars at the time didn't involve image recognition -- it involved sensors in the road and on each car. The technology for this was certainly available by 2000, but the justification for such a massive investment in infrastructure was not.
https://en.wikipedia.org/wiki/Predictions_made_by_Ray_Kurzwe...
Though in itself, it probably show more that technology is a lot slower moving than you would think, after all, as the article point out, some of the future technologies were already present in some form.