Viewing profile — obviuosly
obviuosly
HN member- Joined
- Mon, Mar 25, 2019, 4:39 PM UTC
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About obviuosly
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Comment #20808337
Yeah, she's pretty dull, but she's a women hence you can cite her on obvious truth about sexual dimorphism without being called sexist which is convenient and also fully explains h…
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Comment #20808256
This result failed replication in 27 ethnic groups along the matrilineal belt in Central Africa: https://scholar.harvard.edu/files/slowes/files/lowes_competi...
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Comment #20782826
Equivalently, you can look at divorce statistics of couples that meet online vs offline. A study from 2013 suggests that the divorce rate is lower and marriage satisfaction is high…
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Comment #20782805
Indeed, lots of people also care about stories. Meeting online by algorithm does not make for a very good story.
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Comment #20782676
I don't think this is true. Attractive people in particular have a massive amount of opportunities in online dating which is a huge incentive for them.
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Comment #20782568
Note that "meeting online" includes things like social networks, games and chats, along with actual online dating. In 2017, 39% of new couples met met online. Online dating itself …
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Comment #19849845
Baumeister had a pretty interesting idea on where antigay bias comes from: https://www.sciencedirect.com/science/article/pii/S016748701... > Men compete to amass material resources…
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Ask HN: What Happened to Artemis PCell?
Haven't heard of the project for a while.
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Comment #19820269
I dimly remember reading on Reddit that these machines were not the boy's invention.
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Ask HN: Have search engines become hard of hearing?
Maybe my judgement is clouded, but it seems Google and other search engines have started to reinterpret search queries to a really annoying degree. More often than ever I have to p…
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Comment #19792518
> The resulting model maps raw sequences to representations of biological properties without labels or prior domain knowledge. A couple of questions: 1. What are those representati…
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Comment #19776448
Yeah, it is some kind of god, which is a completely far fetched, utopist, naive and futurist idea. We already know how to deal with the problem of corrupt leadership: Burn it down …
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Comment #19773074
Uhm, no: The piece claims we are subjected to inhumane incentives set by competition for resources (rather than by corrupted individuals and groups who have become too cozy in thei…
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Comment #19771543
I always get a justification of the elitist exploitation vibe from these kinds of writings. "We can't do anything about it, it's just prisoner's dilemmas all the way down. Move alo…
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Comment #19768247
It's both. Of course there is value in such bullshit. It rewards the status drive of those who can play the game. Those who don't, get only negative value out of it. Overall, produ…
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Comment #19767951
I do not get why cooperations make it so hard for people who simply want to do their job with minimal bullshit. You would think the free market gets rid of such inefficiency, but e…
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Comment #19727643
The fact that a criminal record cannot be revised if it contains false allegations and convictions seems to be about as flawed as facial recognition software leading to a false arr…
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Comment #19709460
Thanks for this overview. > Meshroom has a nice feature that allows you to add images into your model incrementally VisualSFM also does not recompute when adding photos later, IIRC…
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Comment #19709430
Am I overlooking something or is the "cantenna" not considered a fundamental antenna type? It does not seem to be listed in the page about different antennta types. It seems to be …
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Comment #19685891
How do COLMAP, Meshroom and VisualSFM compare to one another?
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Comment #19510485
> People deserve credit for taking an idea and running with it. Yes, as popularizers. > deep learning would have never seen the explosive growth This is extremely unlikely to be tr…
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Comment #19510416
> but what really sets them apart is that they made it all work [citation needed] Werbos and others were very aware that the method worked and also of the implications of it: > Thi…
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Comment #19500660
Various researchers, e.g. Werbos, Linnainmaa, Bryson and Yu-Chi Ho have been doing backprop in neural networks before Hinton et al. Hinton was merely a popularizer of the idea.
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