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As someone involved in hiring, there are a few factors going on:

1. There's no available headcount. No one is leaving since there are no opportunities elsewhere. Especially those on visas.

2. When we do have headcount, we get 1000 resumes within an hour or two. We also have a stack of referrals to get through first. A lot of these resumes are experienced folks with backgrounds in FAANG.

3. Supply remains high (100k CS undergrads every year including global supply) whereas innovation is low.


As someone who has recently hired within a FAANG, another problem is internal transfers and downsizing. The external hire process for a big company takes minimum 6 weeks. Within 24 hours of posting a job opening, I've got 20 internal transfers interested, all highly qualified, all familiar with our internal systems and processes, and all desperate to avoid being actually laid off from their team that is disappearing. My last two positions went to a returning ex-employee (who don't have to re-interview if they come back within 2 years) and to a transfer. I wanted to hire externally because I know there are good candidates out there, but it's impossible to justify waiting 6 weeks for the pipeline to close when you know that good internal candidates will get laid off if you don't take them, and the headcount likely will disappear anyway if it's not filled.


background in FAANG means nothing


depends whatchu did at said FAANG and who is doing the hiring. but generally agree.

places like the GOOG are so far out there in terms of tooling and approaches (and size, and bureaucracy, etc.) that you end up with a hire who is damn good at whatever unique internal tooling and job sets are, but can't handle anything else.

they'll expect 250k at minimum, get surly when they don't get it, constantly look to jump or climb, and won't jive with the culture, esp. once that's still using a lot of the more basic approaches that are more common in larger, non-STEM enterprise orgs.

inevitably these guys jump in 1.5 years or less, and achieve nothing of note in that time, except harping on how great tool X is at Meta, or how we did Y at the GOOG and everyone else should. or some sort of PTSD from working at Amazon.

after a couple rounds of getting burned by people with amazing resumes we are now weary of the FAANG pedigree.


Means something if those doing the hiring think it means something.


Means a lot actually. For example, expensive and not great at innovation. But with 3 years of enshittification experience.


How can a user like me actually verify this is the case? All we see before and after are encrypted byte streams? Do we have access to our key pair?


Big news! He's probably the best science writer of our decade. Someone who actually does substantial, deep research, and covers all viewpoints.


I’m curious how you got the impression that Ed Yong “covers all viewpoints.” Going through the list of stories he wrote for Atlantic [1] seems to tell a different story, particularly in regards to his covering of the COVID pandemic. I’m not necessarily disagreeing with what he wrote, but to claim he “covers all viewpoints” seems disingenuous.

[1]: https://www.theatlantic.com/author/ed-yong/


What are some viewpoints that you think he should have covered in order to justify the “covers all viewpoints” claim? Could you elaborate on why they would be important to cover?


[flagged]


That sounds like a list topics that he hasn’t covered, or that he hasn’t provided updates on, rather viewpoints on a topic that he hasn’t covered. Unless he’s recently written on those topics and I’m missing some context.


I'm not especially a fan of Yong's COVID reporting (Zeynep Tufekci was my most reliable source), but this isn't a good criticism. COVID's origins are of less importance to The Atlantic's readership than the other COVID topics he wrote about, and the science is much less settled than the typical topic Yong writes about.


What is a paper mask?


> He hasn't written... that an estimated 15 to 20% or more of health care workers left their jobs

https://www.theatlantic.com/health/archive/2021/11/the-mass-...

> rather than get the vaccine

Even your own (non-medical) source doesn't go this far with its claim, concluding There is really no specific way to determine the exact number of nurses who left the profession due to the COVID-19 vaccine mandate.


A fair point - I'm not sure disingenuous, and, I have a sense of what the parent commenter means in informal language about "covers all viewpoints", but, really, doing so in any stricter sense is almost certainly impossible, even for far simpler stories / events than those he has tended to cover.


"all viewpoints" depends on how open your Overton window is, right?


Pretty sure he is going to monitize a long format podcast (and podcast tour) for great justice.


I would expect them to be running on Google's distributed infrastructure which has error corrections through end to end checksums


Actually they were running on a single PC!

https://twitter.com/demishassabis/status/708489093676568576

ed: oops I misread!


"Using distributed for match but single machine AG very strong also"

Doesn't this imply they weren't using a single PC?


They're using the distributed version for these matches, this question was just asked in the post match press conference.


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