iwonthecase
> 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'])
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'?
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.
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.
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.
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.
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.
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.
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.
[1] https://www.reuters.com/technology/meta-lay-off-employees-me...
[2] https://www.gamesindustry.biz/twitch-makes-another-round-of-...
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.
Just curious, but how useful are stock options in a company that's 30+ years old and still private?
[1] https://arxiv.org/pdf/2309.03926.pdf
edit: I'm not sure what's particularly exciting about this paper otherwise, it just seems like they parsed the PG html format and then applied some previously developed speech model to them.
Also I did some analysis on this dataset a few months ago, and it seems like layoffs tend to happen near the beginning of the month, but I'm not sure why that would be.
Also, as an aside, this doesn't cover all places and I'd guess smaller startups would be less likely to show up. My last place went from about 45 to 10 employees over the last year (layoffs, RTO bs, terminations for "performance," etc.) and isn't on this list, for example.
Cult-y startup, but still.