Once on a flight headed west I happened to look out the window and just then another plane flew beneath the plane I was on headed north-ish and quickly off into the distance. I remember thinking two things: 1. It was far away from us so quickly it kind of shocked me, although it makes perfect sense of course. 2. I felt like i got a really good view of it. It didn’t look far away at all altitude-wise as it passed beneath the plane I was on.
I’ve always wondered how normal this is to cross paths with other planes that closely. I’ve seen other planes way off in the distance before but never that close.
The illegals drugs question never made sense to me. It’s asking you to admit to something that won’t necessarily show up on a criminal background check if you haven’t ever been caught. Assuming you have been caught or are still using, other preemployment screens will catch that. So why not ask other questions like: “Have you ever murdered someone?” “Have you ever stolen?”
Pretty sure some airbnbs don’t even clean between guests. I’ve had some iffy experiences, and because of the consistently issues, it’s why I prefer hotels now unless there’s no other option.
My spouse used TikTok for a while on the app. I can’t remember if they logged in or not (I never used it), but the videos it recommended where kinda shocking. It would recommend reviews of a fridge we had bought, but hadn’t explicitly searched for on TikTok, or anywhere else that I recall. There were also some other coincidental videos that would pop up that just seemed eerie. I assume there’s some data broker TikTok uses (AAID or IDFA tokens perhaps for fingerprinting). Needless to say, we stopped using it and I don’t open shared links anymore.
Lived abroad for a while in a country I didn’t speak the language in at first. Felt so much better when I didn’t get the normal “Ad” dose day to day just from casually watching TV. (Very anecdotal)
Yeah this is what I’ve seen at previous companies. Basically, they need enough headcount for it to not eventually proceed to full layoffs. It actually seems beneficial if you meet the tenure requirements, are still relatively young, and have a good network. I saw several people make out like bandits from those types of offerings.
Genuinely curious why Meta (other big companies) hired so much during the pandemic? Did one companies make a strategic business decision to hire more based on project needs, and other companies followed on in a copy cat way? I guess maybe meta was thinking “VR will take off during pandemic and folks won’t be able to put the goggles back down ever”. I could see some companies copying it just to hedge against other companies over-recruiting and snatching some of their employees. Seems almost like a similar copy cat effort is happening now, unless they are all just admitting they over-hired.
This exact thing happened at a previous job of mine. All workers at a specific site were laid off and later management had to hire back some very important workers who had been working there.
Kind of a blanket comment and seems a bit spiteful and unfair. Granted interviews at those companies could use a refresh and there are probably “leetcode” programmers there for sure, but there’s also plenty of talented developers at those companies.
Like any job, it’s probably a small percentage of the workers producing most of the results. I know at my job it’s pretty obvious who is actually consistently working but somehow it isn’t obvious to management or just harder to prove.
At previous places I’ve been at it seems like it’s easier for higher ups to just blanket fire people and then rehire the important ones once people in the know complain. Not super efficient but definitely faster and comical in a depressing way.
Most job offers I have received weren’t from a timely response from a direct application, but from already being in a company’s recruiting database from previously applying. I find savvy recruiters reach out to people who have previously applied because there’s usually a confirmed interest there, rather than doing cold reach outs to people they find on LinkedIn.
Happens so much more often than you think. Have actually seen it with the exact same language (Java->kotlin) on an existing service. I don’t really recall any valid reasons being given for the switch (better support for concurrency etc). I think often times managers allow this bc they don’t want certain engineers to get bored and leave, which is odd to me since who knows why/when they will leave and they won’t take the services with them.
Isn’t this kind of like Soylent branding. Not sure if that shake company name was tongue in cheek or if they didn’t know there’s a Charlton Heston movie called Soylent Green where the Soylent refers to the color of the edible substance made from humans
I remember as a kid at the dentist office they had these headsets you could watch a movie on while you received treatment. In my opinion it made the experience worse because wearing a headset for that long always ends up being either annoying or slightly painful. I’ve used an oculus and I will say, it’s not that bad to wear, but I can’t imagine wearing one of these things for any meeting going longer than 30 minutes, whatever the perceived benefits might be.
And most people rarely need a pickup truck for its specifically design utility. They likely just want a safer car which is essentially an arms race at that point. I think less pickup trucks on the road would be a good thing considering how the majority of people drive.
I remember my days playing on a likely not-so-legal role playing shard that also had a connected blog where players posted stories about their characters.
I could see this type of technology being used at some point in the future to essentially algorithmically generate content (movies, tv shows, etc) for viewers to watch or engage with. I wonder if it leads to extremely customized content where what I watch is 100% different from any other user on the same platform. However, I also wonder if people enjoy watching the same things because it becomes harder to talk about a movie you’ve seen if there’s no way anyone else could have ever watched it without you sharing it with them.
I attended a conference a few years back where a lead ML/data scientist at a big company you’ve heard of and probably use said the dislike button was ignored in favor of this: did you watch and engage with the content.