> I prefer "endemic", because it is baked into the operators of the system...
There was a pandemic of racism that we fought a war over, now we have to pretend it doesn't exist anymore to keep the economy going and 'live our lives'?
Without wanting to underscore the seriousness of those problems, a day or two in the woods without access to email or a constant stream of news (Discord and SMS seems fine for me in that situation) really dampens a lot of mental health issues I have, even after going back to civilization.
1. It's a sign that the tech layoffs are part of a more general wave of layoffs
2. Most of the layoffs were on their eCommerce platform
3. If there was a blame towards Amazon. Just as an anecdote, I recently bought a whole set of camping gear on Amazon for about a third of the price as REI (and actually for cheaper than their rental rates.) Quality might not be the same, but I don't really need anything heavy duty.
> people who are likely 25%+ and even sometimes 30%+ body fat that think they're in a healthy BMI range a
Something I've observed is that people don't perceive weight on an absolute scale, but relative to other people. Really skews things depending on their local obesity rates.
Not GP, but an ongoing concern I have with covid is that the "severity of current variants" is something that you can really only know after the fact and mild cases can still cause long term effects. I also think that, even if there is a really dangerous strain that evolves, there's no way that in-office companies will go back to WFH, so it might make sense to plan for that possibility.
It could also be the case that they're fine with the risk of covid when it comes to actually living life (travel, hanging out with friends and family), but doesn't want to take that risk just to make zoom calls in an office instead of at home.
Yes, but with traffic (or reliance on public transit, and the Bay Area's n different transit orgs), a 10 mile commute could easily be more than an hour each way.
Just my experience from being on the job market, but a lot of places I've interviewed at have traditional ML models (network security, ecommerce, image tagging) that are now rebranding as AI, without much of an actual change.
AI in games (well at least NPC style AI) is also kind of unique in that it's actually good to try to trick the end users into thinking it's more intelligent than it is.
As always, "it depends" but it's very possible if you go with the understanding that you're going to live like a poor college student for the next half decade and don't want or need your expenses to go up like your peers that go into industry.
You also have to take into account that you're going to be working more hours than a traditional job and that you're going to be stuck there for half a decade, but also you get something out of it at the end which you won't get just working some other low pay job.
Same, although I appreciate the work OP's putting into this, and would find value in the aggregated statistics (especially stats about the interview funnel.)
For me, I just have a big plain text file where I keep notes and stuff about companies once they get back to me after I send off a resume. I also have two email folders (one of all job search related stuff, the other for messages about upcoming or pending calls) and iCal.
Doom and gloom article leading to doom and gloom HN discussion, just digging a bit more into it:
The Meta layoffs [1] are hitting a 600 person department.
The Amazon (Twitch) layoffs [2] are "significantly smaller than the March round, which included more than 400 people."
Sucks for the people being let go, especially in this weird job market, but it doesn't yet seem like it's a repeat of those massive layoffs last winter.
I also wish layoffs.fyi or similar had more historical data, just to compare this to, but even in good times small layoffs do happen.
> I also found myself working longer hours, not having solid disconnected time
To the frustration of my then boss, I noticed that I (and a lot of other coworkers) used RTO as a way to reduce our hours to ~40/week and not spend our nights and weekends with our work laptops open nearby.
> for qs in combinations(all_qs, K):
> > ...
> > corrs.append({'qs': qs, 'r': r})
>
> corrs.sort_values(...)
with a python style list comprehension:
> def build_q(combination):
> > ...
> > return {'qs': qs, 'r': r}
>
> max(build_q(c) for c in combinations(all_qs, K), key = lambda v: v['r'])