skysight-inc/HackerNews huggingface dataset:
This was my take too. I disagree with the opinion piece linked by the op.

My take was that he wanted more girls to be involved at a younger age in tech.

If you look upstream at hiring, If I have 20 candidates and they all graduated from either a bootcamp or a cs degree, then my pool will probably reflect that ratio.

If we want to fix the representation of people in any workforce that has a barrier to entry such as previous training. Like with Engineering and college. You have to get more representation in the engineering programs.

If you want that you have to have more applications to the engineering programs. If you want that you have to de-stigmatize engineering at a young age.

That was my take away from what he said, but maybe I'm projecting.
"Most established professionals are not interested in a 10 week trial period after which they might be back on the job market."

Why not? If the position isn't a fit for either side after X time on-the-job, that's OK right?
"Don't Be Evil", according to Wikipedia: "In April 2018, the motto was removed from the code of conduct's preface and retained in its last sentence." https://en.wikipedia.org/wiki/Don%27t_be_evil

Since you can't demote it past the last sentence, maybe they should change it to "Whatever sells" or something similarly mercenary.
Is it just me or is the author working on far more interesting problems than most of us?
I would love to ask questions like that. I'm pretty sure hiring committee would not like it though lol.

I do worry about asking questions that give candidates extremely large advantages if they have certain backgrounds. For example someone coming from mech, civ, or petroleum engineering will get a huge leg up on that question.

It is also worth noting that the structure for interviewing at a company with 30-50k+ engineers is different than the structure you need for interviewing at a company with <<1k engineers.
All you need to know about CSS Units – Lyty.dev
If the car doesn't display a warning along the lines of "Exit game to drive car", then I would consider it poor design.

My car has a little "dot matrix" display that displays warnings like "Door open", I'd expect the many displays of a Tesla to be able to display such warnings...
The emergence of modern astronomy – a complex mosaic: Part XL
Your argument is flawed in that it assumes knowing algorithms has any correlation to doing well on the job. It doesn't really matter that it's language agnostic if it doesn't test anything useful.
By the same metric, isn’t Tesla just like a regular car but with a bigger battery, no engine and a really big starter motor?

I mean cars before that had all the adaptive cruise control stuff anyway which is the same but just a bit better right?
Yes but we would have decades of extra time to deal with global warming.

Instead, now we’re trying to shame people into flying less, which amounts to 2.5% of emissions a year..
Does anyone do a measure of how long it would take such a workstation to pay for itself (including some nominal amount of operational cost for electricity) compared to simply doing ML on AWS/Azure/GCP? Seems like such a metric could be a useful measure for comparing such machines.
That sounds incredible.
I think it is clearly opposite: media in mazda is insanely hard to learn.
Trump posts about vaccine to his anti-vaxxer followers
It's just like every other example of regulatory capture, really - the people who're qualified to assess the safety of nuclear power plants are those who have training in reactor physics and engineering, which is of course the same pool of people that plant operators draw from when building and operating their plants, so you end up with a revolving door effect where the nominally independent regulator is incredibly close to the industry it's regulating and has few ties with other stakeholders like, say, everyone living in the surrounding region.
I'm pretty angry with the person that you were. I'm frustrated with the people who look up a question, see the exact solution and walk through and then expect the candidate seeing the problem statement for the first time to walk through it in the same way.

There are questions being asked that full academic papers have been written on. What's even worse is typically I get interviewers that are not experienced+prepared enough to give hints or work with you.

I am happy that you've had an epiphany to see where you were wrong. If you ever are in a situation to build a quality team. Interview people for the skills to work with others+ teach others, look to optimize, experience, and that they're willing to learn. You'll have a fairly good group of candidates to pick from as that don't do well in these coding interrogations.
Yes but this is diferent though. Those were ex spies who “talked” and wanted to send a message to other spies as in “if you talk we’ll find you anywhere”.
This is like the complement for other YC company, Lilia. Do you work together as founders in some way (I guess there are lots of overlap in the challenges you're dealing with)?
I would agree that not all systemic problems are top down, but many are, and there are "secret cabals" dedicated to creating and propagating such systems. It doesn't make sense to me to define systemic problems as strictly random, since humans attempt to create top-down, complex systems constantly (especially post-WW2 in more modern society).

> People living paycheck to paycheck seems like it's always been a thing even when they had larger families.

Different eras, different issues. In agrarian times a large family was an investment in future labor, and as a retirement/continuity strategy. In modern society, adding children is a significant expense, and with the easy availability of birth control, it's far more of a choice. In both cases, people were following the rational incentives that society has created for them.

We can argue about whether the current economic circumstances are random or top-down, but in either case, if you change the incentives for having kids (universal healthcare, affordable childcare, food/housing security, etc.) then you will get more kids.
We are using IBM Compose database as a service offering for our production PostgreSQL and Redis hosting. This morning around 6 am (EST) we started getting alerts of failed connection to PSQL. The outage, for production application has been ongoing for more than 8 hours at this point and all our company services are down as a consequence. What should we have done to prepare? What would you recommend doing now, with no the resolution in sight?
If I’m in the room, I will steer them away from dead ends and ask leading questions when they get stuck. The point of the interview is to give the interviewee as much of a chance as possible to demonstrate their skills.

I’ll say for sure, not everyone interviews this way. A lot of devs running interviews think of it as a “test” with pass/fail. I’d say the better interviewers see it as an opportunity to dig around and figure out how to get evidence of the candidate’s skills. That means being creative, that means responding to what the candidate says and finding opportunities to focus on their strengths.
Actually, mobian does exactly this... That guy isn't THAT interested to spend 5 mins of his time to solve HIS problem.

https://gitlab.com/mobian1/mobian-recipes/-/blob/master/root...
I was an undergraduate at NC State. I wonder how the study could be replicated at UNC and Duke. I'd wager they'd have a significantly higher success rate.
Alternative Math (2017)
I agree with others that the survey is a bit suspect, but I do believe it is possible that Dodges don't have a lot of problems. Look at the cars they sell! They haven't changed their cars much in at least ten years. That is not a knock on them, Americans like Chargers and Challengers. If you are making the same car for ten years or more I hope you get very good at it.
To be fair they've been busy fixing the issue of slavery nomenclature in that time too. Respect where respect is due, important issues are being tackled here, you can't do everything at once.

https://twitter.com/natfriedman/status/1271253144442253312
We use Akka in java for related distributed computation use cases.
Technically speaking his investment came with a retroactive co-founder status according to the company. But yeah no he wasn't there in the beginning.
That is incorrect. There are two major groups of elements in spent nuclear fuel:

- Actinides (neptunium, plutonium, americium, curium, leftover uranium). Most of these materials are fissile or can be bred into fissile materials. Fuel recycling processes reclaim and reuse these elements.

- Fission products. These are the lighter elements formed when fuel atoms split apart. Some of the components that are most important from a waste management perspective are strontium 90 and cesium 137.

Fission products cannot be used as nuclear fuel. The fission products of greatest concern are also much more toxic than ordinary chemical wastes.

The LD50 for arsenic in rats is 15 milligrams per kilogram: https://whs.rocklinusd.org/documents/Science/Lethal_Dose_Tab...

The LD50 for strontium 90 in hamsters (90 day survival) is 2 millicuries per kilogram: http://www.rrjournal.org/doi/abs/10.2307/3573895

Given strontium 90's specific activity of 142 curies/gram (https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/196800...), in mass terms that's 14 micrograms per kilogram for the LD50. Gram for gram, strontium 90 is about 1000 times as acutely deadly as arsenic, or three times as acutely deadly as the nerve gas sarin. There are few industrial chemicals that have toxicity comparable to or greater than nerve gas, and they (like spent nuclear fuel) have special regulations and require special handling.
Looks aren't really the most important aspect.
again. Stereotyping is when you say this is how a person is. Describing white privilege is describing how a person is treated by society. They're different.
Yeah, well, I agree. I never actually said orange man wasn't bad.
[‘Ghost Houses’ Haunt a Rapidly Aging Japan](https://www.atlasobscura.com/articles/japanese-ghost-houses)
That sounds awfully paternalistic and feeding some kind of narcisistic ego need. "I'm soo privileged and soo good I'm going to help those poor inferior bastards."
> The whiteboard environment is a bit unnatural…
It's important when doing these kinds of analyses to consider the effects of DST.

The first graph in the article depicts April 2, 2019 sleep times vs April 7, 2020. But April 2 was just a day after the time change (Dec 31 2019), while the 2020 week was eight days after (Dec 29 2020).

How people adjust to the time change, given the ability to sleep in, is a very interesting topic. But it is different than a description of overall sleep, and it should be a separate analysis.
Deep work is what people that actually work call regular work. The non-deep work I call meta work.
Lessons from the awkward life and death of the Segway
> regurgitating algorithms in a reality-show type setting

You're not wrong, but this falls under the genus of "companies that suck at interviewing," and thereby hurt themselves (i.e. the company). In other words, it's not an inherent fault of the programming interview.

But there is more to it than meets the eye.

Some companies actually just are that incompetent.

But, to take a particularly successful and egregious offender: is Google actually just that incompetent? So that they systematically do hiring in a poor way?

No, of course not.

They actually don't want the best people.

They want the mediocre people who are also obedient. The kind of people who can be told to study an algorithms book, and will do it, and will regurgitate it, as a show of obedience, mostly, but also mediocre (but not great) intelligence---not great, because if they had great intelligence, they wouldn't waste their time on that kind of activity.

Such people can be treated as interchangeable cogs, which is why BigCo wants to filter for them.
Your story reminds me of when I interviewed at Google and did great on four interviews but the fifth one sunk me. I was asked an inheritance question which didn't make much sense (coming from a heavy Perl and Ruby background) but probably would have made more sense if I were a heavy C++ developer. I explained how the question wasn't really an issue in Ruby but the interviewer didn't like that and angrily said "you should have learned this in your compilers class at Georgia Tech!"

I'm glad that the interviewer read my resume closely to learn my alma mater, but not closely enough to realize I had a biology degree from it.

I tried again a year later and got luckier with my allocation of interviewers. I never did end up using any algorithms there.
This isn't specific to a Tesla though. Some years ago a friend bought a VW Phaeton (the W12 long is an underrated car I think). The boot wouldn't open. VW told him to reboot the car. Didn't work and he had to get a software update to make the boot work again.

"If you put a computer in a fridge you get a computer that can cool things down."
Because it isn't true. It is him inventing a cause of a problem by simply ignoring many, many womens' experiences with discrimination in STEM that starts at a young age, which is extensively documented. This is what privilege looks like: "I never experienced it so it doesn't exist."
As someone who used to be an automobile engineer working for a
big automaker in the a previous life, J.D power rankings are a complete farce.

Their surveys are designed so that a particular automaker will win (overrating certain metrics for no reason) and then make money by charging automakers to use those awards.

They have a vested interest in giving awards to automakers that are more in need of them. (not German or Japanese automakers)
Here's my recommendation (I've built several such machines for my own use):

1. Go with a 1600W PSU from EVGA or Corsair. Other brands are hit or miss if you ever need very high current on the rails. This will manifest in your machine suddenly powering off when all 4 GPUs are hit with data at once (as is typical at the start of an epoch)

2. Use a mobo with evenly spaced GPU slots, such as ASRock TRX40 Creator. That way you can install 4 GPUs eventually and use that 1600W PSU. You also get 10GbE for distributed training, which is nice.

3. Don't waste money on Titan RTX, get 2x2080ti's instead. Then after a while get two more. Buy blower cards which blow hot air _out_ of the case.

4. Use an extension cable to install SSD and do not install it under a GPU - it'll die eventually due to overheating.

5. Air cooling is fine

6. If you have more than 2 GPUs learn how to adjust fan speeds on GPUs. Crank them to 85-100% while training to prevent throttling.