Throwadev

Are there any Uber competitors in your city?

Every time I hear advice along these lines (which is precisely every single time anyone talks about HR), I always wonder what these HR people are taught in school. I think they have Human Resources related majors in school right? And I'm assuming a good amount of the people in HR have studied that, so then is this what they learn in school? To treat employees like shit and lie to them? I'm really curious.

This is true. Also a lot of grads just think, "I'm not a woman/minority therefore it doesn't affect me if I work there". Others think it sucks but will do it anyway because they want to get a big name on the resume and will take anything they can get.

But if you #DeleteUber won't your money be going to the taxi drivers? I'm not sure I understood your question.

I also hated the permissions increase they asked for about a month ago. They want to know my location for up to five minutes after I've finished taking a ride with their app? F--- that, uninstalled immediately.

Typical Travis. Reacting too late, and pretending to care only when a situation threatens revenue.

Just curious, what happens to employees who don't drink?

Here is a direct quote from Moldbug's blog:

    >> "Not all humans are born the same, of course, and the innate character and intelligence of some is more suited to mastery than slavery. For others, it is more suited to slavery. And others still are badly suited to either. These characteristics can be expected to group differently in human populations of different origins. Thus, Spaniards and Englishmen in the Americas in the 17th and earlier centuries, whose sense of political correctness was negligible, found that Africans tended to make good slaves and Indians did not. This broad pattern of observation is most parsimoniously explained by genetic differences."

Just want to point out that I don't share Moldbug's beliefs whatsoever.

The logic here seems circular. How do you get from a world with racism/sexism/etc issues, to one without? Simply by assuming it to be true?

How does acting like the problem doesn't exist solve the problem? If that's not what you mean, then do you mean we should all just suddenly stop being racist/sexist/bigotted/etc? Just like that? How would that work? How do you get your neighbor to go along with that? Or white middle manager, who means well but is uncomfortable hiring people of certain ethnicities or sexualities because of "culture fit"? It seems that anyone willing to do what you are saying, if I'm understanding it correctly, is probably already of the belief that a world without racism/sexism/etc would be better, and already behaves in the manner you suggest. In which case, we still live in a fucked up world and system where these things are actually still big problems.

There is no proof that white candidates are hard to interview there.

That quote sounds like the kind of thing that could easily be an immature employee who doesn't like the idea of a "VP of diversity", or doesn't like the tone of the VP's slides, taking something small and blowing it out of proportion.

Like, they tried to recommend a friend of theirs for an open position and the friend didn't get an interview and suddenly that n=1 case becomes "OMG! They won't let us interview white candidates!!"

This post title is misleading. There is no discussion of machine learning, just eigenvectors.

I've been wondering this for years as well. I don't understand what make IoT a big deal. Why do I want my fridge connected to the internet? Or my toaster, or whatever else? The only device I want connected is my cat feeder, or my coffee machine, so I can remote control them, or program their timing.

What are CB's?

The emails are leaked from the Sony hack. People have been combing through them and they came across the SnapChat ones this week. They came across ones about Angeline Jolie/Kevin Hart/etc last week, and they will probably find others to write blog posts about next week.

Can you give any detail on what the end result is? What kind of data do you end up with in redshift, and what kind of queries? What kind of data do you extract from mixpanel?

Is all this running continuously, or different schedules for each worker? Any of these event based rather than schedule based?