bonobo3000
Joined 12 years ago
Joined 12 years ago
Otherwise, Spark is relatively new, so they might have some older infra/jobs in Hadoop.
Storm and Spark streaming work a little differently (real-time streaming vs "micro-batching) and apparently have different use cases, but I'm not totally sure what the practical difference are here either..
It is driven by the same competition, but with article-level tracking rather than newspaper sales, the problem got worse. I don't know how to fix it either, but I agree with the author that its a huge problem. News and entertainment are basically the same thing now.
And with AI, we must make these values explicit, which is very difficult to do - i agree this is a very important problem to solve, and the people doing it should absolutely be rewarded.
Honestly, reading the article again after your summary i found it very reasonable :p I think the headline just ticked me off.
No one is stopping other people from getting in on the debate, they absolutely should (and I'm sure there are roadblocks in their way, and people who really are racist). It just feels wrong to implicitly all the "bad white people" for that. Blame those who cause the problem. Otherwise we are back to stereotyping.
I just think we need to be able to TALK about these issues, so that when a real expert looks at those statistics they can get to the truth of the matter, and say that truth whether it is or isn't politically correct.
Also, trust me i can talk about this because i'm not white...
fact - people prefer people like them. Not even consciously, this is basic shit hardwired into us. I don't blame white men for being subconsciously biased to hiring white men, literally any other group would do the same. sure we can try to fight that bias, but its not at all evil or wrong to have that bias, only natural.
fact - taking an "agnostic" approach the way science does, of course the algorithms will reflect "biases". if men are statistically more likely to be programmers, or black people are more likely to commit crimes (STATISTICALLY), then the algorithm will pick that up. They are biases sure, but also statistical realities.
Now we can debate whether we should actively engineer algorithms to fight these "biases" on a case-by-case basis (for example, focusing more on women might be a win if you can find talent no one else can), but there's no reason to start pointing fingers at the "evil white guys" on top who planned this from the very beginning... it's just more stereotyping.
hypothesis - she wrote this crap to gain publicity.
I don't quite understand who's "side" they are on - on one hand, it seems reasonable to tell them the real range i'm looking for upfront so they can narrow the search, on the other hand they might reveal that to the employer..
In that case, the Ethereum hard fork doesn't sound very controversial - even if the devs decided to hard fork for bad reasons later on, no one would be forced to adopt it. They would be "voting with their feet" by sticking to the old chain.