The science community, sure. And look at how well people are listening to that community and to others actually knowledgeable about anything. You can't get the Dunning-Krugerites out there to pay attention for 30 seconds to listen to driving directions they asked for and you think they'll actually make the effort to vet their spoonfed news provided by companies and orgs with a profit motive to make it as sensational as possible

We'll have those flying cars long before that ever happens.

RIP Roblimo. His name has been synonymous with this site for as long as I can remember. He will be missed.

I'm no fan of Java-based curricula, for the same reason I'd be no fan of Fortran-based curricula. Computing isn't about one language. Each language and system shows you one hyperplane of a vast multidimensional space. The best programmers know lots of languages, and choose wisely among them — or even create new ones when appropriate.

In the production world, there are times where some C++ or Java code is appropriate ... and there are times when what you want is a couple of lines of shellscript and some pipes ... and there are times when the most sensible algorithm for something can't be neatly expressed in a language like C++ or Java, and really requires something like Common Lisp or Haskell. If you need to exploit multiple processors without getting bogged down in locking bullshit and race conditions, you're much better off using Go than Java.

(Just last night, at a meetup, I was talking with two bright young physicists who reported that their universities don't do a good enough job of teaching Fortran, which is the language they actually need to do their job. Scientific computing still relies heavily on Fortran, Matlab, and other languages well removed from what's trendy in the CS department — no matter if that CS department is in the Java, Haskell, or Python camp. But if you want to learn to write good Fortran, you basically need a mentor in the physics department with time to teach you.)

And there are times when the right thing to do is to create a new language, whether a domain-specific language or a new approach on general-purpose computing. There's a good reason Rob Pike came up with Sawzall, a logs-analysis DSL that compiles to arbitrarily parallel mapreduces; and then Go, a C-like systems language with a rocket engine of concurrency built in.

(And there's a good reason a lot of people adopting Go have been coming not from the C++/Java camps that the Go developers expected, but from Python and Ruby: because Go gives you the raw speed of a concurrent and native-compiled language, plus libraries designed by actual engineers, without a lot of the verbose bullshit of C++ or Java. Would I recommend Go as a first language? I'm not so sure about that ....)

What would an optimal computing curriculum look like? I have no freakin' clue. It would have to cover particular basics — variable binding, iteration, recursion, sequencing, data structures, libraries and APIs, concurrency — no matter what the language. But it can't leave its students thinking that one language is Intuitive and the other ones are Just Gratuitously Weird ... and that's too much of what I see from young programmers in industry today.

But the big G doesn't contribute anything to the work of creatives.

You never use a search engine while writing? They're awfully handy for fact-checking, looking up sources, and so on.

But I suppose those sorts of activities are not required these days ....