skysight-inc/HackerNews huggingface dataset:
Maybe run the testing and evaluation side of things at cost. The certifiers instead get profit from companies that subscribe to their certification verification program. There's a small fee for the employer to verify someone's certification is genuine. Part of the employer's contract with the certifier would be that anyone the employer hires who has been verified to be certified, when they've been employed at the company for a year, they owe the certifier a bonus. There's a second bonus at five years and that's the end of the payments. The certifier is incentivized to only certify workers who have genuine skills as those are the ones most likely to hit the one and five year milestones. Talent acquisition is expensive, as is employee turnover, so employers will not have an incentive to layoff employees right before their employment anniversary in an attempt to avoid the fee they owe the certifier. They'll find that the anniversary fee is a small price to pay for having been matched up with an employee with the actual skills the employer needs.
Man, i feel like i'd be worried about droughts of jobs.Any advice on dealing with that stress? I take a lot of value out of standard jobs and stable companies.
The Phrase “Waiting for the Other Shoe to Drop” Was Born in NYC (2013)
Sorry, I am laughing out loud at this response. I love how you wrote "cheat". Like! I know... not my best HN post. :)
It's a huge pleasure, I'm glad you enjoyed it. Diving into those fsync details at the time was a lot of fun!

If you have time at some point to dig in more, we also did a Zig SHOWTIME intro on TigerBeetle that you might like (https://www.youtube.com/watch?v=BH2jvJ74npM) where we dig into these storage faults in more detail, plus a little Lord of the Rings ;)
I still don't get how the fix works. If I just mount an external LUKS2 device in an updated system, It's good to go?
That's bad timing, too, assuming it's winter where you live :(
I'm just basing it on my own figures averaging about 9 months of work during a year around the 600/day mark which is seems to be about the max I can do with my current skillset.
Yes, but how about breakthrough infections as You can easily get symptomatic Covid nowadays especially with Omicron, do You have any data on this?
I take it you were watching a lot of fox news back then? Or is that just what you "heard"? Because I was watching Fox news back then, and you are absolutely incorrect.
Anything for apprentice? Would even take a customer support role. I'm a 30 dude from a third world country making a career switch and learning how to code.
I personally feel like Kubernetes tries to be all the things, which creates feature and complexity bloat to be able to accommodate any possible workload you can throw at it. “Cloud Native” is a bit of a misnomer. It’s more like trying to run your own cloud versus relying on a service provider.

Sure you can run a stateful, highly available database on k8s. But you’re going to have to manage the complexity of making it work on k8s. Or you could just use a managed database service of your cloud provider (which has existed even before k8s).
I feel kinda dull, I'm not sure I understand this?
Literally said so in the article: "...., build loyal affiliate partnerships."

Looked at the content and it's perfect for making money.

First there's reviews of a bunch of coffee gear,etc so people find the site googling for information about said coffee gear.

Now once on the site there's ads for other coffee related items from these affiliates with a reader who's already thinking about buying coffee related items so the so called "conversion rate" is probably very high (meaning that the ratio of people visiting the site who both click an ad and actually buy items is very high (Yes, there's different rates depending on the customer actions but assume they pay relatively well)).
> convince people to use Firefox/Safari/Opera

What would that change? These browsers implement the same standards Chrome does, and on top they probably implement the non-standards that Chrome imposes, because people will still want to use Google Meet and stuff. So this at least means to convince people not to use Google Meet and stuff. This goes to show that indeed the web is broken.

> convince webdevs to support/prefer non-Chromium engines

I guess the people who need convincing are not the devs, but their superiors. See https://www.baldurbjarnason.com/2021/software-crisis-2/

> the unstated assumption that any new browser must be simple enough to be built by a single person, entirely from scratch, is an arbitrary technical limit based on political ideals

First of all, I'm not sure if anyone really said that it had to be achieved "by a single person". Second of all, I don't understand why its political nature should devalue the argument. At any rate, it has been argued that the web is at fault, the standards are problematic, etc., so let's not argue about minor details.
This article has almost zero content. It’s spam.
Her appearance is part of her (sexual) identity: https://twitter.com/realsexycyborg/status/139660540781712998...

Of course, she could hide it, but she just doesn't want to.
No, the reason JWST is better for ultra deep space is because the expansion of the universe redshifts the peak of the light emitted by the really old stars into the IR band. Also it has a bigger mirror so it can see fainter stuff, which things further away tend to be.
Or how they grew it. This was a really shallow article
I don't think this is the right article?
QR factorization is cool because it is part of QR iteration and you can use it to find all zeros of a polynomial at once.
I'm also in my mid-40's and did the leetcode for a MAANG interview a couple years ago. I also looked at it as a thing I'd spend some time on every now and then to shake off the rust and to practice for the hiring process itself.

Like my past studying for SAT or LSAT, it was as much about preparing myself for the test itself vs. trying to gain some specific knowledge. Time management, making sure to test, and knowing that there are almost always naive vs. optimized solutions for these types of problems and learning how to quickly identify the naive solution (i.e prove I can solve) and then figuring out the optimization.

In any case, I enjoyed the process and didn't really practice more than 10-15 hours. I literally just kicked off the rust and got used to managing time. If you get too deep in to "I've optimized systems to process millions of transactions/second, and some 25 year old is sweating me on hashtables" you're going to have a bad time.

The ironic part of the interviews at this level of experience was that the coding portions ended up feeling tough, but I was able to talk work through them. For one company, one of the two system design round was with someone who couldn't have been more than 3 years out of college (with PhD though) and had only been at that big company. That was my hardest interview because the person I was talking to had zero to little actual experience there. They knew the problem and expected answer, but didn't know the space. It was VERY HARD to talk about things that they very obviously didn't understand in terms that they did understand without sounding condescending.
This was my textbook in college! It’s great
> Results Among 192 405 448 persons receiving a total of 354 100 845 mRNA-based COVID-19 vaccines during the study period, there were 1991 reports of myocarditis to VAERS and 1626 of these reports met the case definition of myocarditis.

So.. we're using VAERS now?
The original is better than your proposed rewrite.

"Mysterious" does convey useful information. Something can be new but not mysterious.

"Celestial", on the other hand, conveys almost no useful information because generally every object astronomers look at is celestial.
Kubernetes is very complex because the problem it is solving is far more complex than that. It is actually a simplification of the problem, with a (somewhat) simple solution.

The problem is: datacenter operational system.

That is, in other words: distributed operational system, or global scale software scheduling (because you have an operational system to run software).

Why we need something like that? Because is better (today) to connect millions of small computers rather than building a very big one. But you still need to operate and manage all those small computers.

A distributed operational system is a way to abstract away the fact that you have millions of small computers instead of a big one.

Now, bear in mind that this is a very hard problem, one people have been thinking about and trying solutions for decades.

Kubernetes is a solution to a simplified version of that problem, built while informed by the experience gathered by Google while running their own solution, called Borg.

With Google experience and knowledge gained after 12 (plus) years running Borg, they came to build a very good solution to the problem.

As a user, I believe Kubernetes is the closer we can get (right now) to a user interface where I can just ask to run my software.

Why this is not as simple as a double-click on a icon somewhere? Because software meant to be run in a global scale computer is not simple software (probably complex software composed of several small simple parts). So the usage is tuned for more complex software and thus is more complex.

As a system administrator, Kubernetes is very complex. But a smartphone hardware and software is far, far, far more complex than Kubernetes, it's just that you are not exposed to it.

So, Kubernetes is complex? Yes. You can probably figure out a simpler way to run a container? Yes.

Can you build a simpler solution to global scale software scheduling? Well, you can try.

So you don't need to run a global scale computer, just a tens-of-servers computer (or thousands-of-servers computer)? Maybe Kubernetes is overkill for you, but if you use it, you'll benefit from all the community built around it [1].

1 - Meaning: your own solution to a tens-of-servers computer maybe very good, but will be complex enough that you will have a hard time finding people willing to use it or teaching people how to use it than you would have finding people already familiar with Kubernetes.
Does this affect LUKS1?
Heaven forbid we think you failed the interview
https://www.scotthyoung.com/blog/myprojects/mit-challenge-2/
To be fair it is possible, I occasionally see 1k/day rates but they require either niche skills, a significant amount of experience or just seem like a terrible idea that's guaranteed to fail and you'll take all the blame for it.

In contrast, half that is doable for any mid-level developer and is still a major lifestyle upgrade compared to permanent employment.
It doesn't strike me as surprising that the sail would take longer than the boat. The skill to make a boat is impressive but the mechanics of getting it done aren't enormous.

Fabrics and sewing, gathering and prepping those materials and the tedious work seems enormous.
Clothing remains expensive, except we don't see the true cost.
Open source startup alternatives to well-known SaaS products
leetcode = i waste my time while other people land high paying jobs
Smalltalk symbols accepted for a future version of Unicode
I've actually deployed on Gov PAAS, and as long as your stack conforms to the requirements it's quite a pleasant experience.
Nods in Rambo.
Your claim is empirically false. The total number of excess deaths was 81K in 2017, 158K in 2018, 101K in 2019. (You need to click a few buttons to enable data from past years.) The reason is that the sinusoidal amplitude is fairly small and is explicitly calibrated not to capture the flu. Look for example at the 2019-2020 winter graph: the empirical data matches the model until covid kicks in. For some reason, people die more in winter irrespective of the flu, and the sinusoidal component attempts to capture this effect.

Stepping back from the details for a minute: this is a 15-year long joint effort of public health authorities in Europe, with the explicit goal "to design a routine public health mortality monitoring system aimed at detecting and measuring, on a real-time basis, excess number of deaths related to influenza and other possible public health threats across participating European Countries." In terms of data analysis, their model is very simple, comprising a constant, a linear trend term for population growth, and a sine-wave term for non-flu seasonality. Do you really think that they would be so incompetent as to use a model that explicitly removes the flu, which is the very effect that they are trying to capture? Give them some credit, they know what they are doing.
We hear that a book is "banned" in the media a lot, but it means a lot of different things.

* Is it a ban on availability? Meaning the school won't make the book available to students (e.g. in a school library).

* Is it a ban on integration into curriculum? Meaning the school has decided that no teacher may require students to read the book as a course requirement.

* Is it a ban on REQUIRED integration into curriculum? Meaning the school has decided that it isn't going to force teachers to require students to read the book, but each individual teacher may still choose to do so at their discretion.

* Is it a ban on possession? Meaning if you bring the book into school, it will be confiscated.

And then, of course, there are further distinctions.

A particular book might be appropriate for some mature AP English students who are preparing to enter college in the fall, but inappropriate for most middle schoolers. So let's say you have a school that's grades 7-12, with a shared library. Does the librarian determine appropriateness based on whether it's inappropriate for none/some/most/all?

I'm an author of several books, and I tend to be against outright bans. That said, I'm the parent of a 12-year-old who reads at a mid-high-school level, but has the emotional maturity of a kindergartener, and I can absolutely understand where parents are coming from when they hear about books being integrated into curricula that they know their kids don't have the maturity to handle.
Breakthrough infections are much milder. There is mountains of data on this. Look at hospitalization and death rates of vaccinated vs unvaccinated.
I can't understand why bioethics people are complaining. it's just an upgraded version of tech we already have, intended for sick people to be less sick. there is no immediate super-important ethical problem that neuralink will suddenly bring to head.
While I understand that some people want to work in public service because they find the kind of work more meaningful; I think those reasons are a bit weak.

From what I can see, the annual leave for these roles is 30 days per year, this is nice but 25 days is pretty standard in most tech jobs in the UK, with some employers allowing you to sacrifice salary in exchange for more days (+ or - 5 days in exchange for equivalent days of salary)

I know the pension plan for civil service is particularly good, but I wonder how it compares in terms of actual pension pay with having worked for big tech and contribute part of a salary that is, as you said, probably double – plus company contributions or matching which can be quite high (5-10%). Also, the RSUs you get and yearly refreshers kinda become your pension plan for a lot of tech workers.

Life isn't all about money, but for most people money is the primary reason to choose one company over another.
I always thought it's a strange arrangement that everything is hooked on these big, stupid batteries called stars, and everything must work toward efficiency, which increases complexity, which increases energy consumption, thus entropy.

To me this looks more like a death spiral than a simulation, with a curious by-product, stateful arrangement of particles whose state must be predictive of the future to be able to thermodynamically efficient and the other way around, and thus life is an obvious by-product of the spiral. It's just not an important part. A simulation implies importance, our Universe implies utter unimportance. I think that's why the simulation narrative is desirable. Who likes to be utterly unimportant? This is a psychological thing. With that you can put simulation to the same pile where deities and other antiquated beliefs are. Can't prove that it's not true, but can prove that we have a motive to think it's true.
Throughout history, there has always been a non-negligible risk of dying when walking to work (or its equivalent).

I don’t think there is anything ethical or just about killing drivers by default.
If you want to work as a computer scientist, then you have to understand algorithms. Leetcode is just algorithms. Most SW devs do not need to understand this.

So long as SW devs realize simple things such as maps are faster for lookups (rather than looping over a list) and use them when needed, that's about all they need to know to get the job done.

I would also say that everyone ought to be able to come up with the brute force (slow) solution to the algorithm problems (at the very least) and then offer another solution that's still correct and somewhat faster. If you can do that, then most places will hire you (even if you can't think of the ideal solution in 20 minutes).
Yes that is what an affiliate site is
It's probably true that cases are under reported in both groups. Many people with myocarditis might just go along with their day because the symptoms aren't especially worrisome to them. You can imagine the cohort of people with political affiliations that say COVID isn't worth worrying about might not see a doctor even if the symptoms are worrisome.
In the context of the parent comment which described how leetcode-style interviews are discriminatory, you have just nicely described nicely why the leetcode-style interviews are because companies are afraid of APPEARING discriminatory in hiring, and provided other methods of plausibly-deniable discrimination.

If they want to be really undiscriminatory, the interviewer and interviewee need to not be able to see each other, and even real names (which can indicate gender and ethnicity) must be hidden.

When orchestras started doing auditions with candidates anonymous and behind screens, they ended up hiring a LOT more women and minorities - even when the selection committees had previously thought they were trying to be nondiscriminatory.

Deeply embedded biases are really hard to root out, even for ourselves.
sorry i should have explained. by ordered i meant after expiring a key its TTL will be set, which will never be a time before a previous expire. when it looks up the key, if its TTL has been reached it will not be returned (which we checked in the redis source). we weren't concerned about then the keys are actually removed
Not to be too critical, but I feel like this article was a bit naive. Nothing works "optimally" and no-one knows the answers to lots of these questions. IMO its a great thing that people are out there trying new things and sometimes good practices stick around. We need the vanguard to be there so that we explore.

"order for learning to most effectively improve our state of operation"

Things don't move "most effectively" in anything. I guarantee that other engineering disciplines do not react to new tech / innovation in any sort of optimal way. People are driven to work in certain ways by all kinds of things, and mostly has to do with incentives and social reasons.

"But I very rarely see articles looking back at past languages or technological fads and looking at current trends through that lens."

There are historical surveys all over the place, even on this site.

I don't want to attack this article too hard, and the motivation to ask whether or not we are are really learning from our experiences is good, I just feel like people are more flustered by the fact that there aren't magical best practices you can memorize and apply yet, and that most human knowledge comes from experience and intuition.
I would argue that outlining expected behaviour in edge cases is one of the most important topics for documentation to cover.
The complaint is that the skills that leetcode is teaching you / testing you on isn't relevant for a lot of jobs. I am not talking about just basic web development either, that was just an example to illustrate the point.

The whole issue that these sort of tests are used inappropriately accessing someone suitability for a job. Most software people produce is simply implementing existing business processes. This doesn't require anything too smart algorithm wise, but may require good use of gang of four patterns or understanding how best to put a database together.
Joe is first and foremost an entertainer, just like Neil Young. People should be able to make up their own minds about what they listen to. Joe Rogan has said controversial things that aren't true, but so has Neil Young. Neither side should be trying to force the other to not be heard. That's how we end up in an echo chamber. Allowing both sides to speak gives people the option to form opinions on their own, and hopefully that pushes them to investigate the actual truth (let's not pretend that either Joe or Neil are scientists and take their word at face value).
> The key here is advertisers don't want to be associated with that.

Has this ever been substantiated or verified publicly? Which industry are those and why?
I do! I did the 2019 AoC in Clojure and really enjoyed it. I plan on getting to the 2020 and 2021 ones at some point.
Hope they increase the free tier! Would help them onboard more new customers.
Canada, Israel and Japan have marginally the same vaccination rate as we do. Our deaths per capita is a bit high but generally in range.
And more so than that, the issue is that cephalopods are clearly related by every measure we can find (morphology, DNA) to other mollusks like slugs and clams. And are even (although far more distantly) related to us. So it is a bit hard to imagine how this could be the case if they didn't all have a common ancestor here on Earth.
To be clear: this is an overconfident assumption, not an evidence-based claim. It's not even plausible on the surface. Why would we assume these proteins would be distributed similarly in the infection case and the vaccination case? We know that very different physiological processes will be taking place, so why assume the inflammatory responses must be the same?
Not calling Young a terrorist, I'm using the term "don't negotiate with terrorists" loosely - the point is, when two peers in a network end up in a situation where one is making a violent ultimatum about both of them, the moral high ground is automatically biased in favor of the victim of this ultimatum, not the one who threatened it.

The principle of "don't negotiate with terrorists" is applicable far beyond literal terrorism and I think it's exactly the moral calculus necessary for Spotify to reach the conclusion they did. Network members who think they can yield violent ultimatums to control the administrating entity are toxic to all of their peers.
You aren't using anything.

The scientists are, in a controlled way. That doesn't mean that it's a regular source.

Yes, it's appropriate to use a no-validation report system to search for signal.

Vaers is crap, but crap is actually what you want when you're saying "look how ridiculously wide I cast my net looking for examples."