https://sherwood.news/tech/what-companys-past-reveals-the-fu... provides more context as to what the articles are trying to achieve.
HN user
mining
I searched on mobile, so no ad blocker. There were no ads for that query, and all of the content up to maybe the 5th result was an acceptable answer to the query (i.e. on a site that wasn't plastered with ads)
If I search "plumber" the first 3 results are ads.
I'm in Australia.
Searching "how to fix a leaky faucet" on Google turned up the page from "This Old House" immediately (top 3 results, top 2 were wikiHow and a YouTube video that seemed OK at a glance).
I'm not sure why my personal results are often so much better than posts like this one whenever I do the experiment - maybe it's based on location?
I would probably argue that either the first algorithm is incorrect (because searched can be larger than INT_MAX) or the complexity of the second algorithm is bound both by O(searched) (or sqrt(searched), if implemented with more vigour) and O(1) (because the value of 'searched' is bound by a constant).
I doubt they decided independently on a back to office date in the same ~1 month timeframe
Given the reason for office closures was covid, I'd guess that companies in the same geographical area would make similar decisions about when it was appropriate to return to office work. It would be more surprising to me if large companies with similar decision-making throughout the pandemic, in the same geographical area, had drastically different timelines.
Almost all of that blog post was complete bullshit. Recursive neural net? I don't understand why that post was written.
Saying 99/100 doctors think something medical is true isn't an appeal to authority... Doctors /are/ an authority on medical matters. Programmers aren't an authority on economic matters.
There are infinitely many infinitely thin lines that fit in that band and cover the countries.
I don't know. That seemed like a fairly simple exploration of the problem and an easy library function to solve it. Would it be much simpler in any other language?
If that 95% assumes that people undergo background checks, my assumption is that number might decrease.
I'm guessing pretty junior with this kind of hubris
If you check their profile their site suggests that have ~15 years of experience.
Depends how you look at it. Dev time is a finite resource, and spending it on supporting a weird combo of user agent and browser seems likely to lead to less user utility.
Is rampant systemic sexism the reason why 95% of child care teachers are women?
Yes, absolutely. Men are generally treated very poorly if they choose to voluntarily work with small children.
You're usually on-call for a fairly humane shift, not 24h a day.
It's plausible that they changed jobs ;).
I'm always amused that "know" seems to instantly associate with "memorise" as opposed to "be aware of performance and associated tradeoffs"
I think there's a clear difference between an ad that plays sound as part of watching a video with sound, and as part of browsing a website that doesn't have sound / where the ad plays sound over the actual content.
Indeed, if women were systematically underpaid despite equivalent performance, I find it hard to believe they wouldn't be hired by the boatload. This might be explained by (1) a lack of women relative to men in the developer workforce and (2) a systematic bias in competence.
Or (3) because a huge proportion of perceived performance is subjective. I can't find a study right now, but e.g. http://fortune.com/2014/08/26/performance-review-gender-bias... make a decent argument towards women receiving qualitatively different performance feedback to men.
They're not comparable disciplines. One (in theory) involves trivially replicable experiments (just rerun the binary) and the other does not.
It's absolutely good manners for Firebase to tell you "If you fix this thing, your costs will go down."
It's probably saying that they invest as though recessions that didn't happen were going to happen.
This is good if you assume that there's a desire to improve the quality bar over time.
I'd say no, since the purpose of the GPU there is to make the matmul really fast.
This is relative to other people who had been hired at Google - there's probably still a positive correlation between those two variables amongst the general population.
Slightly tongue in cheek (since Google obviously uses javascript), but Java :)
I don't think your claim that it doesn't affect the vast majority of users is correct. There's well over a billion people in India alone. You might argue that you were only making claims about US users, but a lot of sites have no reason not to be global.
I experimented with gensim's implementation of doc2vec this year; despite not being able to achieve similar results in sentiment analysis (because unshuffled datasets in the original paper) it's still really impressive. I analysed some document relations in wikipedia, and it finds some really unusual / neat relationships, e.g. Autism - Cat + Dog ~= ADHD.
But it doesn't give one when the cast is in a loop condition. That is weird.
I believe that the justification for that is that you'll often want to do e.g.
while (node) {
node.val += 3;
node = node->next;
}
Implicit conversion of a type into a bool is pretty useful here, or for e.g. while (std::cin >> x >> y) { ... }I /think/ (with only anecdata) that this only comes up when you try to convert.
This is completely false, it compiles in C++ fine. Are you thinking of Java?