[1]: http://en.wikipedia.org/wiki/G%C3%B6del's_ontological_proof
Math is timeless. TeX may be, but it's too soon to say. It's a recent invention. It's only been around for 35 years.
Given that, I suspect that in one, two, five hundred years neither he nor his blog will be around. Nor anybody who read his blog. Even if his text had survived (perhaps someone goes digging though the NSA archives in a few hundred years), I'm sure that the person reading it will just intelligently substitute in the succeeding technology.
So, what I'm trying to say is that the point about TeX is just a point of practicality. It happens to be approximately true right now, and the author has no information to guide him to an alternate conclusion.
Wolfram is hammering against the interactive element with CDF and I could see TeX being extended to support a more dynamic electronic document format if HTML rendering engines continue to be typographic messes. Perhaps an LLVM-type backend to generate executable ebooks would be an interesting project, but I'm not sure I'd start with TeX except for math markup.
I would hope my prediction of the death of TikZ and PGF would come true soon enough, though.
my homepage amirhirsch.com is an interactive graph of the zeta function (and partial sums) along a horizontal slice with spacings of .05 between 0<Re(s)<1
Have you ever seen a novice programmer trying to find information on a StackOverflow page? The answer might be staring them in the face, but they still scroll past it once, twice, three times, etc. until I point it out.
A novice has no sense of what's important and what's not so they tend to think everything is whereas an expert has a set of heuristics (like the ones in this blog) which make them much faster. They'll look for familiar ideas, themes, likely mistakes, etc. first before going into full-on, read-this-thing-line-by-line mode.
Certainly, but will you be able to spot the breakthrough insight if all your doing is filtering it against your notion of signal vs noise. Breakthroughs tend to come at a problem from a totally different angle & generally it takes a bit of time to understand why its brilliant rather than "noise".
http://www.scottaaronson.com.nyud.net/blog/?p=304
See also the famous Crackpot Index: