jamesfe
I was lightly burned by a tweet (of my own authoring) once, and I thought "I make $XYZ per year, twitter pays me nothing, this joke tweet caused me a lot of stress, the odds that being on twitter will get me cancelled will cost me $XYZ are non-zero and I don't control them"
Then I deleted all my tweets and my twitter account (8 years ago) and life has been really nice without it!
This stuff is barely scratching the surface of the data those companies collect and maintain, likely for long periods of time, just to analyze and improve customer experience.
Cherry-picking ten bad sentences from tens of thousands written per day seems like a long-tail metric or anecdotal at best.
I am starting to feel really nervous about storing my life in Google. It's not that I wouldn't pay for these things...it's just that I worry one day I'll lose access and fall into the pit of "trying to get Google to help a single human regain access" that sounds horrible.
I think it's worth spending the 8 hours/yr/site, supposing you have relatively few sites. Plus, your engineers for 1hr/month will never achieve the same SLAs that AMZN will.
For smallish numbers of sites, it seems like the AMZN solution is fine. For bigger ones, there is always enterprise pricing :-)
This feels like a really big assumption. Is it true? Is there data to back this?
I've felt annoyed at individual interviewers, or a process at a given company but I've in general felt like I got more of a fair shake in the tech world than other industries I've worked in.
Additionally, beyond Dvorak, is there a better way to increase typing speed than spending what must be hours and hours building a bespoke solution for each one of your machines? And what is the cost of the inevitable tsunami of errors you make in the learning process? Are these neural pathways more valuable than say, learning a new language or practicing a different skill?
This behavior forced the city to endure blockades every Saturday and holiday for months. Small businesses near the riot areas were closed and had their windows shattered or spray painted by protestors. Ordinary citizens and their kids couldn't do errands and in some cases leave their apartments for on one out of two days off a week for months on end.
The protests were violent. Who started it you can debate, but against tons of news articles, photos and videos of people fighting hand to hand, getting gassed or throwing cobblestones, lighting buildings on fire...you don't really have much of a factual foundation to say Paris didn't suffer months of violent protests before the ND fire.
Also true that the two-tier system existed in one of the big tech giants and with it many of the same symptoms. It is interesting to see it again with Google, although I wonder if Amazon/Netflix/Amazon have a similar situation.
The author of the article is somehow either confused or offended by this.
Google is selling your data to marketers. Facebook is one giant data-collection/data-sales empire. In theory, the HN collective hates data selling, but in practice, they love the companies that are doing it and their products.
I find it ironic that I come here and see people worshipping the big adtech companies and their tech but then when someone posts a comment about not selling user data, a thousand tin-hat naysayers jump out of the woodwork to flog them to death.
It's OK. It's why I can read the NY Times and a thousand other online newspapers - FOR FREE. It's why I can go to Google and type in "why does my butt burn when I poop" and get an answer - FOR FREE. It's why I can use dozens of adtech and user-data-supported services - FOR FREE. I pay for those things with data about me, my habits, and my browsing history.
This is why Bowe Bergdahl is in a big pickle if he is found guilty: he will lose 5 years of pay and return to his original low rank (he is now a Sergeant, I think he was a Private 1st Cl or Specialist) as well as be discharged as something other than "honorable".
Aggregating Reddit comments with golang and visualizing with d3
I like to use Java and Go for things that require more structure and type checking.
I like to use Scala for functional programming.
I suppose we all have our preferences, but I'm glad the author uses the word "favorite" because there are great cases to be made for every technology out there.
Something, mostly common sense, tells me that we will not find some smoking gun to a crime here in these OSS repos...if anyone wanted that, they can refer to any number of leaks.
Ultimately, I'm happy to see this stuff shared, happy to see others use it and happy to see the OSS community build on it.
Let's say one of your contacts chats a lot because it's a chatty person. They're online far more than another person. What if that other person only chats on the bus on the way to and from work at roughly the same time every day to tell their wife they're on the way home. This activity will overlap with the chatty person's activity all the time.
By your rationale, they are having a conversation, maybe cheating, and maybe having a work affair.
I think the more contacts a user that are active, the higher probability that your model predicts they are having a "conversation" with another user. You'll probably find that your thresholds are really hard to fine-tune: maybe we say A chats with B if abs(A.activeTime - B.activeTime) < threshold, but that threshold is going to be super hard to find* and even harder to validate.
Sure, there is some information here (the picture probably being the most concretely weird) but the fact that you can just go to the App and check a box for privacy means that this seems like not a huge issue.
Yes, WhatsApp made the software, but its your responsibility to apply your own privacy settings.