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Re:A new replication crisis: Research that is less likely to... by mike_hearn on Thursday May 27, 2021 @04:41AM (#27300675)
Ah, right. That gets us into the definitions of innovation and research.

Apple does very little research, in the conventional scientific sense we're discussing here, I think that's pretty uncontroversial. They produce few if any papers. They are (or were, under Jobs) very good at coming up with new ideas that strongly appeal to the buyer and which got them a reputation for innovation, but which probably wouldn't be considered clever enough to be research papers. At least not top tier papers.

For example, exposé is a widely imitated feature and was considered very innovative at the time, but it wouldn't be seen as serious computer science. The iPhone is/was widely considered innovative but had basically no new research tech in it, given that capacitive touch screens weren't developed by Apple. It was just a really nicely implemented mobile computer. Actually the innovations in the iPhone are nearly all packagings of tech developed by third party firms that Apple then buys or buys exclusivity rights too. At least, that's true in my view.

Microsoft's R&D budget I think is also a victim of definitions. Software firms normally report all product development as R&D, right? I think these days they may even report datacenter builds as R&D. We can see this on Microsoft's investor website:

"In addition to our main research and development operations, we also operate Microsoft Research. Microsoft Research is one of the world's largest computer science research organizations"

i.e. the kind of university type "scientific" research we're discussing here is only a sideshow in Microsoft's R&D budget.

You're right to call me out though; I don't have any stats to prove that industrial research does more than academic research. It's not a statistical argument to begin with, just my own own perception ("all seem to"). I read a lot of CS papers and the best ones have corporate email addresses at the top - the second best, a mix of corporate and university addresses, the third best, only university addresses. If you asked the man on the street to name the biggest innovations in computing in the past 20 years they'd probably say things like, uh, smartphones, YouTube, AI, blockchain, etc etc. All things that have little connection to universities, with AI being the closest but it was Google that revived that whole field and has been pushing it forward ever since. Neural nets weren't receiving much investment by the academic community before that.

Anyway, that's CS. CS really isn't the problem here. The pseudo-science is elsewhere.

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