News for hackers. Stuff that matters.
Re:Classic Papers: Articles That Have Stood the Test of Time by logicallee on Saturday June 17, 2017 @10:33AM (#14576044)
Out of curiosity, does anyone have any examples of scientific books (or papers) that are the exact opposite: influential or famous at the time but completely and utterly destroyed by the test of time. Like, that seem silly to us in how completely and utterly wrong they turned out to be in their every single conclusion.

I'm thinking about research versions of Lord Kevin's favorite edict: "Heavier than air flying machines impossible" or the patent person (examiner? head of patent office?) who in the nineteenth century said everything that can be invented has been invented.

Re:Classic Papers: Articles That Have Stood the Test of Time by ferdterguson on Saturday June 17, 2017 @03:24PM (#14577324)
Not a field, but a person who everyone thought was Nobel prize bound and it turned out to be all BS. You may think that it's just one person, but the amount of research dollars that got allocated to try and prove or disprove all of this work would be staggering. https://en.wikipedia.org/wiki/Schön_scandal
Re:Classic Papers: Articles That Have Stood the Test of Time by Houshalter on Saturday June 17, 2017 @12:53PM (#14576627)
Sure fields of research go obsolete all the time. E.g. much of the computer vision stuff from 2006 is basically dead now. If you go further back, a lot of early AI research was exciting at the time, but is entirely forgotten about now.
Re:Classic Papers: Articles That Have Stood the Test of Time by mindcrime on Saturday June 17, 2017 @04:47PM (#14577669)
If you go further back, a lot of early AI research was exciting at the time, but is entirely forgotten about now.

Interesting that you would use that example. I suspect, although I can't prove, that this is largely a mistake. Or maybe not so much a mistake as a choice that will wind up being revisited. That is, I think there is still a lot of "meat on the bone" for many of the AI techniques that were being explored in the 70's and 80's, and we will see another round of things suddenly coming back into favor at some point. It's happened before... remember when ANN's were completely out of vogue, and the computing power and data availability caused a sudden resurgence in interest in those? I would not be surprised to see similar things happening w/r/t various aspects of GOFAI.

More likely, I think we'll see additional integration / hybridization of probabilistic / pattern matching systems (using ANN's / Deep Learning / etc.) and symbolic processing and automated reasoning.

'course, I might be totally wrong, but that's my feeling ATM.

Re:Classic Papers: Articles That Have Stood the Test of Time by Finnucane on Saturday June 17, 2017 @01:27PM (#14576781)
There's some difference between obsolete--a method that gets replaced by an improved method later on--and just plain wrong.
Re:Classic Papers: Articles That Have Stood the Test of Time by dekhn on Saturday June 17, 2017 @10:37AM (#14576066)
Any paper about the luminiferous aether from before the Michelson Morley experiment?