SurgeonOfDeath

It depends. Like in USA i would agree because there is a lot of mentally ill people on street. In other cases like teaching is better. They spend all day on street. Going somewhere learn it is just much better environment for them.

I don't drink but If was homeless in cold country I would drink and take drugs to forget about cold. It requires so much strong will to live in this environment.

When I was in highschool there was an online competition every week.

So one week there was this very hard problem. I didn't knew how to solve this but I figured out that there is one answer per 10 tests.

I bruteforced easy tests and send program with different answers std::cout<<30<<endl; ... So I send like 500 different programs. Then I just combined correct result with size of test ;p. I use while true to figure size for every test ;p

I passed every test. Week later my solution was removed and I got very nice e-mail about what I did and how wrong It was to exploit platform.

I still managed to be in top 10 at then end of competition but It was mistake huge mistake

Ps. Competition was with very good prizes but still I am ashamed of myself for that.

I am not on /u/spez side(but I like reddit). He has low credibility because of his history with editing post and elections.

Also I have problem with information diversity on r/popular. Even if you filter stuff you get junk content like funny gifs, porn etc....

r/science, r/news... etc are quality content and they should be present in popular.

Also bias against gaming community. My solution would be to add targeting for subreddits. Some people want more fun content, some more science, music. If r/popular would use it would be probably the best

Ps. I banned like 100 subreddits on r/popular and I gave up. Now I use regex to filter on r/all it works better than that...

Can we use one pixel attack to train network? We would generate adversarial examples to train network.

Having ability to create Training Set that maximizes learning factor for NN sounds amazing but I think we would run to other adversarial examples.