It's Time To Build the Analytical Engine
macslocum writes "John Graham-Cumming is launching a project to finish Charles Babbage's dream and build an Analytical Engine for public display. The goal: inspire future generations of scientists to work on their own 100-year leaps."
Reading TFA sent a very real chill down my spine. Who knows what we are overlooking everyday with all the science and engineering going on in the world? The shocking thing about this whole story is that in retrospect, his idea seems obvious and is scientifically sound, but was ignored. The real point I'm trying to make is how much CAD software and man hours will it take to simulate this - but he did it all without even a pocket calculator.
This is much more than just building it for public display. The idea is to demonstrate that it was, indeed, a fully functional device, and to give credit where credit is due.
~/ssh slashdot.org ssh: connect to host slashdot.org port 22: too many beers
What today stands out as something that is so immediately useful and complex and ahead of its time that we as humans are lucky to have been around at the very start of?
Um, all technology starting with the wheel? If you mean "living humans", my grandmother's only been dead for 7 years, but she was born nine months before the Wright brothers flew at Kitty Hawk and watched the moon landing (I was a teenager then, I watched it too -- EVERYBODY watched that).
But sorry, I don't think much of your list. Fire and electricity were discovered, not invented. I'd say the wheel, agriculture, the steam engine, telephony, radio, aircraft, spacecraft, computers, and BEER.
Free Martian Whores!
There is an entire scientific discipline (cognitive science) devoted to the creation of an AI. It is nowhere near succeeding. Unless the US military has managed to perform its own research (and I mean including basics like underlying philosophy which isn't even settled) then it is not possible for the US military to be harboring an AI. I know this seems possible from the outside because they get so much money... but money can't really make a few closed door researchers produce something more significant than an army of thousands of researchers sharing their data (academia) unless the money is giving those closed door researchers access to requisite hardware for the science. Hardware isn't currently the problem with AI. Currently, the problem is just figuring out what the "I" in AI even means.