He specifically mentioned that Geoworks got Acquired shortly after he was already at Amazon
So, he actually did go through the multi-stage interview pipeline.
Just because you can’t read well, you don’t have to be so cynical.
HN user
He specifically mentioned that Geoworks got Acquired shortly after he was already at Amazon
So, he actually did go through the multi-stage interview pipeline.
Just because you can’t read well, you don’t have to be so cynical.
This is AI slop.
This isn't just a cute analogy. The octopus nervous system genuinely solves the same problem.
Let's talk real numbers.
The stock on the other hand…
Yes…
If you read the comment, you’d notice that there were no loans involved whatsoever.
If you can’t rent or buy a car without a credit score, you should only be allowed to buy a gun until you have proven that you’re a trusted member of the society.
I moved from Canada to California for a new job with a mid six figure salary.
I had a very difficult time finding a place to rent as I had no credit score. Only places that were available without credit score was a room to share. That was not an option with a cat, wife and kids.
Finally, I found a place that was willing to accept the entire year's rent up front. Moving such a large amount of money from Canada to US had its own set of hurdles.
Once that was sorted out, I had to deal with yet more craziness to buy a vehicle. I decided to buy a CPO Mazda from the dealer in cash (using a cheque, of course). Once I signed all the papers, they ran a credit check on my newly created SSN. The system could not find my SSN. So, they denied letting me buy the car because they couldn't accept such a large amount from a person they could not verify. My passport and Canadian driver's license were not acceptable proof of ID for the dealer.
On the flip side, my long history with Amex in Canada was ported over. So, they quickly set me up with very high limit credit cards.
We already live in social credit but I fear the ones maintained by companies might be better for the consumer.
That too for $1.5 million. 99% of Americans would picture a mansion when they think of a $1.5 million home.
Jobs created iAd. He hated bad ads.
Here’s him announcing and talking about ads in WWDC: https://youtu.be/eY3BZzzLaaM?si=Dttc5eJJ1B7Zf3sB
And all that with wages well below even the local market in our crumbling Third World economy. With no exciting research positions nor self-managed time nor compensation, what was the advantage over a high-paying job at Microsoft or IBM?
When did Google pay less than Microsoft/IBM?
Yes but this exists - ads.apple.com
It begins...
The biggest mistake tech companies have done over the past 2 decades is not spending enough money lobbying. Every other industry manages to stay under the radar by continuing to pay both sides. Tech industry never got involved in politics so they were easy targets for politicians on minor issues.
Except paying more for a service doesn’t guarantee better service. I have hired local handymen at $75 per hour and they have been equally bad with fake reviews.
Except the movie came out in 1989. Trump wasn’t really well known in the media when the movie was written. There wasn’t even a trump tower.
Parent comment is the quintessential example from the article that most people who know git didn't learn git properly.
This is due to ad blindness.
The Previa ads were always there but that was the first time you noticed it because it was on your mind.
Many thousands of Sr. Staff engineers+ and Sr. managers+ across FAANG.
Google alone has 4000 directors all making a million at minimum.
I have only worked at FAANG across my nearly decade long career. So, it’s a biased but very large sample.
Working 40 hours and making 7 figures, gives you plenty of time to have a life.
The key here is not to categorize as a “language developer”.
I think you a missed a 0 there.
$100 is insultingly low for a 4 hour assignment.
It’s lucrative if your bar is 6 figures.
No engineer that makes 7 figures calls themselves a ruby developer with the exception of DHH.
This must be the first real world use case of HE. It has generally been considered too slow to do anything useful but this is an excellent use case.
Helen Keller is the counter point to this. She’s obviously intelligent and had no sights or sounds as input but only texts.
Also Canadian here. PhD might be a stretch but there’s absolutely a large number of Uber drivers with a foreign masters.
Ownership is good and it helps but that’s not what’s actually required to get promoted to L4.
It’s a secretive quant fund in California. https://en.m.wikipedia.org/wiki/TGS_Management
This is most definitely a LARPER
Greg just quit too: https://twitter.com/gdb/status/1725667410387378559
When I was at Amazon, I thought this was an insane scale. Then, I joined Google to learn how they serve couple orders of magnitudes higher.
I did that half a decade ago and got nearly 2x the original offer.
Is this available in any public cloud?
Having worked at both amazon and Google, IMO Google does this significantly better by having OWNERS, away team member plus readability approver.
This comes at the cost of much slower progress.