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There's one very important problem with this approach: this blocks people from accessing your site who are doing so from the EU, whereas the GDPR applies to EU citizens, wherever they access the Internet from.
In other words, an EU citizen residing in and accessing the Internet from the US has just as much right to invoke the GDPR with these sites as an EU citizen residing in and accessing the Internet from the EU. Blocking people accessing your site from the EU does not allow your site to not respond to such requests.
This is a really useful article. What I really want is Java-minus-Oracle, and it sounded from some of the chatter around Kotlin like it might be that, but it seems what I really want is Groovy.
Recognizing both expenses and revenue over time is part of generally accepted accounting practices (GAAP).
Intuitionistically, it makes total sense that you get a clearer picture of the true state of the finances of Netflix as a going concern if they recognize the costs of a show on their balance sheet over five years when they expect subscribers to still be watching it for the first (or second, or third) time several years on.
The hed is a little misleading---what is meant by happiness in the article itself is that Netflix employees more likely feel they're compensated fairly and aren't looking for other jobs.
That is, however, really nice confirmation that Netflix does in fact live what I was told when I interviewed there, that Netflix prides itself on offering the best comp package in industry. (They followed that by casually offering to more than triple my salary, so I had some inkling they weren't just making that up, but it's easy to write off one data point in a high-demand field as an anomaly.)
I'm most impressed that Amazon is doing as well as it is in those rankings, given how much shit they've gotten in the press over the last few years.
Zelle is not really the same thing as what WePay does. Zelle is peer-to-peer payments, competitive with Paypal, Square Cash, Venmo, etc. (P2P is a term of art in the industry; it's not P2P in the Bittorrent sense. :)
WePay is about providing payments infrastructure to marketplaces and crowdfunding platforms (Lyft, GoFundMe, etc.). WePay are competitive with Stripe's Connect product (disclaimer: my employer). Braintree and Adyen also have similar products.
Congrats to the WePay folks. I hope this new chapter works out well for them!
So few companies are clear about it in their hiring processes, and therefore wind up hiring for all sorts of skills which have at best weak bearing on actual job performance in most roles (eg. brain teaser memorization) that the answer is, empirically, yes.
I think it's all going to depend on how the tenure mechanism is implemented. There's got to be some way for new money to "catch up" to old money within some reasonable time horizon, say 10 years, rather than old money's voting power growing unbounded.
It's going to depend a lot on the individual interviewer how well they can answer that question. If recruiting and the hiring manager don't both have good answers to that question, though, that's a big red flag.
Companies above garage size literally employ people to answer candidate questions. If the company hasn't invested the time to answer "What are you trying to figure out about a candidate in an interview?" and its recruiters don't have a simple, objective answer, they should stop interviewing and go answer that before they start again.
A simple answer is something like, "We want to figure out whether a candidate can do the work we need them to do. We do that by giving candidates sample work problems which are streamlined versions of problems we've actually solved at the company in the past. People we hire are more likely to still be employed with us than they are at our competitors after a year. We know we don't hire enough women and URMs into technical roles, and we're instituting a rule that at least one woman or URM candidate needs to be interviewed for each open role."
Standard---maybe not objection, but complication: I'm waiting for the day AI can do this in 2100 KWh. (Human brain uses ~15W continuous. 15 W * 24h * 365 days * 16 years.)