skysight-inc/HackerNews huggingface dataset:
>> You haven't experienced air pollution if you haven't breathed in the evening air in Mumbai or Bangalore during the rush hour.

Economically, it may be a good sign that 1,400 new cars are added to Delhi's vehicle population every day.

According to the Centre for Science and Environment, the number of passenger cars in Delhi has gone up from around 75,000 in 2005-06 to more than half a million today.

http://timesofindia.indiatimes.com/city/delhi/40-of-vehicles...

The pollution makes sense when you start to understand how many cars they are putting on the roads every day with no sign of letting up. They have recently said they want the whole country to have nothing but electric cars by 2030.
US Olympic Committee threatens to sue over photographs
Your example looks like a sequence of procedure calls that interact implicitly via global data. Yuck.
It looks really nice, what are your use cases? Do you expect to build a Scribd competitor?

How will you fight spam? (when I search for a book I'm interested in, I get a lot of Google Docs and Dropboxes and stuff with the search terms and a link to shady sites)

And legal risks? I'm pretty sure many of the documents I'm seeing are not free.

Are you based in Lima, Perú? Are you thinking of going to Startup Chile?

PD: My native language is Spanish, but for those browsing for English documents (probably most of the HN crowd) do you provide any functionality?
Vehicular pollution, construction dust, diesel generators are a common problem in almost all big cities in India.

However you are looking at the advantages of villages as a visitor with a point of view towards being closer to nature. There are other problems in villages that you probably won't encounter unless you live there on a day to day basis. Finally, grass is always greener on the other side (holds true for both villages & city dwellers).

> A large number of people need to die due to cancer for it be taken seriously

Cancer isn't uncommon in villages and city pollution isn't the only cause.
From the code comments:

"This source code has been transcribed or otherwise adapted from digitized images of a hardcopy from the MIT Museum. The digitization was performed by Paul Fjeld, and arranged for by Deborah Douglas of the Museum. Many thanks to both. The images (with suitable reduction in storage size and consequent reduction in image quality as well) are available online at www.ibiblio.org/apollo. "

I mean, I realise that this is the least of the amazing achievements we're talking about here, but yea.. respect :)
Yep. Or other -isms:

> What if [your hiring algorithm] is weeding out women most likely to be pregnant in the next year?

https://theoverspill.wordpress.com/2016/07/04/start-up-linke...
> Are they being forced out due to gender prejudice or are they not interested?

Positive (for males) gender prejudice in a wide array of higher-status, better-compensated jobs drawing men disproportionately elsewhere. Which is kind of a mix of both of your options.
But it's also very important to understand why machine learning systems do this. If you take race neutral data, and run virtually any machine learning system on it, you'll get a race neutral output. I.e., if a $40k/year black person in 10001 is equally likely to default as a $40k/year white person in 10002, then the algorithm can be expected to give them equal credit scores.

In the event that an algorithm choose black zip codes for extra penalties, it's because the algorithm has deduced that stereotypes are correct - the bank will make more money not lending to blacks at given rates, because something directly correlated with race and not captured by fields like income/past defaults/etc is predictive.

I discuss this in greater detail here, taking linear regression as a toy example: https://www.chrisstucchio.com/blog/2016/alien_intelligences_...

Having consulted for folks doing lending, I'll mention an insanely difficult $100B startup idea here: build an accurate algorithm that exhibits no disparate impact. The amount of money you'll save banks is staggering.
Valleywag changed my life – for the better
You can play the moral relativist all you want, but American three-letter agencies are nothing close to the Great Firewall. There's a massive difference between out-of-sight surveillance (do you think China is any better than the NSA when it comes to spying on its own citizens?), and the chilling effect on free speech caused by banning things like any mention of the Tiananmen Square massacre.

I don't think the MSM has ever been any less propaganda than it is now, either. People are only able to take a more objective look at the news now because of unrestricted access to information.
I guess it's easier to verify. Otherwise, you'd get an instant bump on all reposts with all the votes the original accumulated.