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On Melissa O’Neill’s PCG random number generator

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Re: On Melissa O’Neill’s PCG random number generator

#3
post #2

This is an interesting article, but it's more about the changing landscape of academic publishing than it is about random number generators. [EDIT] The actual paper is here: http://www.pcg-random.org/pdf/hmc-cs-2014-0905.pdf

Only if it turns out the work is actually good. If not this is exactly what should happen in peer review.

Re: On Melissa O’Neill’s PCG random number generator

#4
I like this because she is a professor at Harvey Mudd. They took steps to make CS more inclusive, with great results. I appreciate her attitude on accessibility, which is in keeping with that institution's philosophy.

That she ran into a paper wall doesn't bother her because she's openly publishing is even better.

Re: On Melissa O’Neill’s PCG random number generator

#6
post #3
post #2

This is an interesting article, but it's more about the changing landscape of academic publishing than it is about random number generators. [EDIT] The actual paper is here: http://www.pcg-random.org/pdf/hmc-cs-2014-0905.pdf

Only if it turns out the work is actually good. If not this is exactly what should happen in peer review.

You don't think the peer review process ever produces false negatives?

Re: On Melissa O’Neill’s PCG random number generator

#7
> I wonder whether the academic publications are growing ever less relevant to practice.

I think there are two topics here. One is whether academic research and work is becoming less relevant to practice. The other is whether the formalism of academic-style publishing are becoming less relevant to the modern world where more and more venues for publishing, rating, and discovering work.

On the former, I believe that academic work is as relevant as ever. There are some areas (like systems) where I'm doubtful about relevance from the point of view of a practitioner, but other areas (like hardware and ML where work remains extremely relevant). I haven't noticed a trend there over the last decade, except in some areas of systems where the industrial practice tends to happen on cluster sizes that are often not approachable for academia.

On the latter, academic publication does indeed seem to be getting less relevant. There are other (often better) ways to discover work. There are other ways to tell whether a piece of work is relevant, or credible. There are other, definitely better, ways to publish and distribute work. In some sense I think this is a pity: as an academic-turned-practitioner I like academic-style publications. Still, I think they are going to either change substantially or die.

This article raises another very good point: sometimes the formalism of academic publication makes the work harder to understand, less approachable, or less valuable. That's clear harm, and it seems like this professor was right to avoid that.

Re: On Melissa O’Neill’s PCG random number generator

#8

I like this because she is a professor at Harvey Mudd. They took steps to make CS more inclusive, with great results. I appreciate her attitude on accessibility, which is in keeping with that institution's philosophy. That she ran into a paper wall doesn't bother her because she's openly publishing is even better.

I watched her EE380 talk [1] and thought she was a fine professor for a difficult (to me) subject. That she didn't get published for at best stylistic reasons means nothing.

[1] https://ee.stanford.edu/event/seminar/ee380-computer-systems...

Re: On Melissa O’Neill’s PCG random number generator

#9
post #6
post #3

Earlier quoted context omitted.

Only if it turns out the work is actually good. If not this is exactly what should happen in peer review.

You don't think the peer review process ever produces false negatives?

You didn't ask me, but I'll confirm that it definitely does.
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