skysight-inc/HackerNews huggingface dataset:
> it seems pretty likely that I will be protected

And you'd be wrong. Sure, a face shield will protect you from liquid streaming out at you (partially). However, it isn't a liquid that you need to protect yourself from in this instance... it is aerosolized particles. And those travel in the air. So when you breathe in, that air can and will move around the face shield.

The sibling comment about smoke moving is exactly right. Smoke is a great example of how small particles can move and travel in the air. If you think that a face shield will protect you from something in the air, you'd be wrong.

Side note: this is how N95 masks are actually fit. (Well, not using smoke, but similar test). If you can smell the chemical used in the test, the fit is wrong.

If you really want to protect yourself from other people sneezing -- stay away from other people. That's why social distancing is still the primary, and best, recommendation.
Anything on Archive.* fails to resolve for me for this reason; I just don't bother clicking their links anymore either.
I've fixed the formatting now.
I guess the core quesgtion is what makes it so special in the US vs any one of the many other countries with similiar "Free speech" laws?
Python templating languages you should (probably) never use – Opensource.com
> new videos with more likes/dislikes than views

That doesn't mean that the view counter is slow. Views are only counted when you watch the video for X seconds (or percentage complete, can't remember) while you can like/dislike the video by going to the page, clicking the like/dislike then close the page before the view would even count.
Turkey to deliver 5 free masks a week to each citizen
To me it seems more like his beating the system gave him false confidence that he could find flaws in systems which would be lucrative but he tended to rely on illicit schemes that never worked out for him.
My opinion is that Microsoft will, sometime in the future, "do an Apple".

Instead of having Linux as a mere subsystem, Microsoft will use Linux as the base, and put a proprietary Windows GUI with apps over the top of it.

This is just like Apple did long ago. The Mac's OSX has a base of BSD UNIX with Apple's own proprietary GUI desktop over the top of that.

Microsoft can then concentrate its own developers into making the best (and profitable) 'Windows Experience' while leaving all the grunt work of maintaining the nuts and bolts of the underlying Operating System to the Linux developers.
Well you can still download the rom and the machine is fully emulated, forever. Not sure there is a way to play geometry wars in any fashion. Besides batteries can be replaced and even then you'll miss your high scores but you'll still be able to play.
girls are actually more suited to classroom learning than boys are for a variety of reasons. I think the focus on girls is more due to the large amount of discrimination they face especially in developing countries than due to the outcomes when the field is more or less level.
This reads as a series of bad job experiences and I think is explained by a wide variety of job functions that all can have "Data Scientist" as a title. Someone else's experience could be totally different. You have to know what to look for and what to avoid. If you're trying to find a DS job, one of your top priorities is finding out what the actual job consists of. For instance, a Data Scientist at Facebook might be called a Data Analyst at many other places--no modeling required.

I know this because I've been on that journey. But there's no reason to expect some department head that's never been exposed to DS to know this. They just copy/paste some other company's job req. If you're more junior, here are my tips:

- If it's a "new DS team" that supports a variety of teams: beware. Bolt-on DS doesn't work well, as it's really hard to build a meaningful solution that's not deeply integrated.

- If it's an old company or in a conservative industry: beware. There are likely to be data silos and difficult ownership models that make it nearly impossible to get and join the data you need.

- If it's a small company: beware. You're likely going to need a broad set of knowledge that's won with several years of experience to be able to build end-to-end solutions that are integrated into the rest of the tech stack.

- If it's not an engineering-driven culture: beware. DS will often be used to provide evidence to someone else whose already made up their mind and pretend they're being data-driven, and you'll be the disrespected nerd that's expected to do what it takes to deliver the answer they want. Most companies claim to be "data-driven", few are, and even fewer understand data-driven isn't always possible or desirable.

Industry is still trying to figure out how to use ML and are still learning that it's not as easy as hiring someone that knows about all the algorithms, but rather it takes deep technological changes to data infrastructure to enable the datasets that can then be used by the ML experts. But you don't have to be the person that helps them figure this out the hard way (i.e. by being paid to not accomplish much due to problems outside of your control). Better to find a place with a healthy data science team that can help you learn and contribute. They exist.
The travel vouchers are essentially 0% interest loans that expire worthless if not used in 9 months. That is by far worse than cash. I don't even know why this is controversial. I paid for a service, they cancelled it and now I should get my money back and if they want that money, than they can get it in the future when the offer some other flight I want. I didn't pay them for a gift card that expires worthless in 9 months. Even gifts cards cannot pull that expiring shit anymore because it is so anti-consumer.
the level of clarity matches that of the human retina
Web 2.0 was a big heart of love.

:(
These 3d printed ones are being delivered and used in hospitals in my area. Not sure in what quantity, but I'm sure they'd love traditional made ones too. If only it was being provided. So what you say isn't wrong in theory, but we're not dealing with an ideal situation in the first place.
They also have massive engineering budgets.
Can Fujitsu Beat Nvidia in the HPC Race? – Network World
How do you know they are not? And there is no contradiction. It is more a matter of not stopping learning. Learning is always happening naturally. People mostly need the opportunity.
Instagram has one of the least interesting APIs of all popular services, with basically just 2 GET endpoints or something. So if you do want to build this, you're gonna have to do a lot of reverse-engineering of the smartphone application. Probably a fun project on just it's own.
Well, it's a bit surprising for the Democratic Party, at least if you listen to what they say about "different" people. But maybe it's easier to talk that way than to actually back such candidates.

Now, in fairness, the Democratic Party has produced female candidates, and candidates of different races (for other offices), and elected them. And they produced Hillary as a candidate in 2016. And they produced Obama as a winning candidate in 2008. So they have "walked their talk".

For this election, though, old white men. And emphasize the old. Bill Clinton and JFK showed the power a younger candidate could unleash. But not this time. It just feels like, these guys might have been interesting two decades ago, but today? C'mon.
I think what the OP is arguing is that executives and investors have profited off of this arrangement. If they want to keep that airline afloat, they should have to put money back in.

Or here's a simpler mechanism-- the airline should sell stock to the public markets to raise capital. It's the natural response to running out of money because you spent it buying stock. The fact that this is a market downturn is something they'll have to deal with.
Nobody bought new computers to run Slack.

"Killer app" came from Visicalc, which caused millions of accountants and businesspeople to buy Apple II machines.
Show HN: Wikipedia over DNS
> A healthy person wants to live. Not wanting to is one of the ways of "being ill".

This is the medical model of disability fallacy: someone can't function in society so there must be something wrong with them that we should try to fix--but society itself is just the same neutral backdrop for everyone. The alternative is to acknowledge that society/environment plays a big role in mental health and that because society isn't primarily structured to keep people healthy, some people will expectedly have poor mental health.
When Python Practices Go Wrong
That’s not really now Force Majeure works, there’s a lot more nuance to it than that.
I don't understand your argument. Those 3D printers exist and can be used. Manufacturing and those printers are not exclusive options.
Appreciate the long reply! It sounds like you're advocating a holistic approach, when most people are only focused on the foot in front of them. I've always thought of low hanging fruit as bang for the buck -- if I can do X in 20% of the time, versus Y... but get 50% of the value, then X is low hanging.
If you aren't massively over-leveraged, your survival prospects are much higher under any circumstances. If the airlines had serviced their debt instead of accumulating debt while rewarding shareholders, recovery would be a lot easier.

Indulging in debt is the American way. Particularly when you can rely on taxpayer financed government bailouts to smooth out the bumps.
Fair, I was imprecise. My point is, companies that exist solely to maintain the supply chain aren't doing great, but that seems to mostly be because so many people aren't producing stuff - as far as I can tell the stuff that is produced is making it around the world with no problems. I've found no shortage of the things I consume that are produced in Asia.
Episode #258 Thriving in a remote developer environment – [audio]
I'm STILL waiting for United (or Expedia) to send me a refund after 2 weeks. I had a cancelled international flight and neither is sending me my refund.

I don't think many of us have just thousands of dollars to just not get back.
You understand that OP is requesting a solution for a practically unfixable issue. Unless you a have relationship with the carrier itself. A provider sends you a success, but it was actually a failure. Imagine a DB sending Commit-OK, but data was never written. You probably wouldn’t buy very much from a company that uses that kind of DB as well, since it loses your orders.

Once again, if you are receiving texts that must mean you opted into them. User is expecting them and it’s different from a user receiving two texts never having signed up for them.

I do believe this technique uses some out of the box thinking and mostly DOES solve OPs problem.
The OP isnt going to come back and provide a citation because throwing out unsubstantiated "facts" seems to be the thing to do on the internet.
Hard to pin down exact figure, but a quarter worth of their normal turnover could probably go a long way. Given that their fleet is grounded, airports rents are suspended and there are no fuel expenses.
not every shareholder participates in the decision-making behind a buyback, and in some cases they can't all participate in the buyback itself (especially with majority privately-held entities).
Portable Portrait: Alan Kay (1990) [video]
The airlines have more accountants than airplanes. I trust they'd figure it out.
Dictionary Merging and Updating in Python 3.9 – Better Programming – Medium
You can say that about anything we do.

However, at my previous job I integrated an LFBGS[1] implementation into our production code.

That was written in the early 80s in Fortran '77.

The code outlived all hardware that it ran on when it was first written (we ran it on an OpenMP cluster for a scientific-computing problem related to lithographic mask optimization), if not its authors.

It will continue to exist, and run, for a very long time.

Sure, all software is ephemeral. But as you say so, you probably used SciPy/NumPy. Deep inside, there's an implementation of LAPACK/BLAS doing the heavy lifting for you[2]. It started in 1979, and is still kicking.

(And it's still in FORTRAN)

[1]https://en.wikipedia.org/wiki/Limited-memory_BFGS

[2]https://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprogra...
No, services are run by Apple Media Products under Eddy Cue. They're not great, either, but I think they have more full-time engineers than IS&T does.
Hurts my eyes. You should make copy smaller and use better margins.
My favorite way to do things is to just ask for a "full name"; and then, separately, a "calling name" (i.e. "what do we call you?")

The "full name" is for putting in the c/o part of a mailing address; while the "calling name" is for showing beside your profile picture or for saying "Dear [name]" in a mail-merge.

Neither of these is a nickname. They're both your "real" name. But neither of them are your legal name, either. You're free to make either of them whatever you want, and to make them both entirely unrelated to one-another. They're just two forms of "your name" that you might expect to see in one place or another. And we can ask for them, so that we can then spit them back out at you in the situations that call for them.

Doing things this way skips the entire minefield of "given names", "family names", titles/appellations, etc. You've got use-cases for someone's name? Ask the user directly, for each use-case, what text they'd like to appear. There's not too many use-cases, really; you only need to ask a couple such questions, in the end.
Nice... great reply, I see why they accepted you guys. I assume now you have more tutors than students, but will you open it as a "gig economy" for tutors in the future? (e.g. join as a tutor). Sounds like something I'd be happy to volunteer doing, let alone get paid for as a side gig :)
Thank you, that was a gentleman’s reply.
As a research-oriented data scientist at one of the larger tech companies, I can confirm that even here, a lot of people are unsure about what exactly data scientists are supposed to do. My most frequent request is "tell us why metric X dropped", to which the answer is often a subtle combination of many different factors (often random fluctuation) that doesn't lead to a pleasing actionable result in the sense of "here's why it dropped; go do this to fix it".

The really interesting research type work (Bayesian modeling, convolutional neural networks, etc.) takes a long time to implement and may produce no useful results, which is a really bad outcome at a company that measures performance in six month units of work and highly values scheduled deliverables and concrete impact. Many of the data scientists I work with tend to stick to methods that are actually quite simple (e.g., logistic regression, ARIMA) because these at least deliver something quickly, despite the fact that many of my coworkers come from research-heavy backgrounds.

In my org, there's nothing stopping anyone from pursuing advanced machine learning; for the most part we set our own agenda (in fact, determining priorities is part of the job role). And some people do in fact go after state-of-the-art ML, with some really cool results to show for it. But in terms of career progression and job safety, the risk is just way too high, at least for me personally. I save the highly mathematical stuff for a hobby.

Edit: while this may sound a bit negative, I will add that my description of data science isn't a complaint per se; I am mainly trying to inform those who are seeking a career in data science of what to expect compared to what is often promised. The work that is most valuable to a business is not exciting all of the time, but I don't think there is another job in the tech industry that I would find more enjoyable than my current one at the moment.
Far-Right Helped Create Clearview AI, the Most Powerful Facial Recognition Tech
we can ensure they don't fail by taking ownership - if they're unwilling to raise funds by selling an equity stake, on the market or otherwise, they can declare bankruptcy and be bought then.

Many many years ago Air New Zealand essentially went bankrupt (after it had been privatized) so the NZ gov bought it out. Then a few decades later privatized it again at a profit.

Which is the evidence that this can be done.
Extensive discussion earlier today: https://news.ycombinator.com/item?id=22802705
Pedantic, the argument is essentially dilute those same shareholders by issuing equity shares.
As a scientist, I've worked with data for decades. There's always been a prevailing belief that scientists and engineers with specialized domain knowledge are mostly fumbling in the dark and can be replaced with a general purpose technique.

This was certainly the vibe that I got from "design of experiments" when it was the statistical method du jour. Then from "Bayesian everything" and now "data science." I remember "design of experiments" studies being conducted with great fanfare and success theater, while producing zero results.

The long term theme is that science is hard for reasons that managers don't understand, can't manage, and are reluctant to reward.
Toast cuts 50% of staff as coronavirus forces eateries to close
These are not counter examples, they are examples of the types of problems that I think turn out very poorly when they rely on normalized addresses. What I'm saying is we shouldn't be using addresses for things like this. I realize I'm talking about, basically, upending several entire industries or something, so I know it's unreasonable, pragmatically.

I just think that the hard problem of 100% accurate address normalization suffers from an extremely fat tail[0] of edge case issues, and becomes economically unviable to solve, very quickly.

[0]: https://en.wikipedia.org/wiki/Fat-tailed_distribution
Why Design Researchers Should Compensate Participants
? surely 12 billion dollars that american spent would have extended their runway a day or two.
Die cutter machines are expensive, but very common. Making the dies can be expensive, but it is routinely done all over the world.

I agree that Apple should share the design as well as the tooling designs. I have a friend that started mass producing masks and open-sourced the design: https://whitelabelfaceshields.com
Strange, but thanks for letting me know! I'm on my Ubuntu laptop now, so `DiG 9.11.3-1ubuntu1.11-Ubuntu` and it works too! But initially tried on my Arch Linux desktop, where it didn't work, and I would expect my desktop to run a more recent version than my laptop. Very strange, will take another look.
No, there's another team for that.
I joined CashApp to make use of the coffee shop boost. After that disappeared, I tried adding several other boosts. Each one magically disappeared right before I tried to use it. Uninstalled.

If I need to transfer money I have several other options, including "cash," a well-established p2p solution.
> Unless you're using a lot of modules with C extensions

in my experience only the simplemost applications actually don't need anything outside of vanilla python pip. suddenly the client wants PDF reports and you're setting up e.g. some tex-based printing system with a bunch of host packages needed. only containers give you the peace-of-mind that all dependencies, current and future, can be described as part of the codebase.
This is untrue. Stanford Medicine released a study around March 22.

The TLDR is 70°C heat for 30 mins. Avoid alcohol, it kills the static charge in the mask fibres.

https://m.box.com/shared_item/https%3A%2F%2Fstanfordmedicine...
You missed one. What is the entirely legitimate reason why vape stores should be open?
The nerd in me just saw a great application of a futamura projection. ;)
Thanks for the recommendation. Went through a couple of his videos and I think it would be a great addition to the list. Will add it.

Also, I completely agree with your outlook on the online culture. Wish there were more ways to help but hopefully this resources is a good first phase.
Haha maybe they were trying to avoid a leveraged buyout by private equity... by running a leveraged buyout on themselves!
Almost all attacks these days are a chain of exploits that each focus on jumping code execution to a new context or gaining a new privilege, that only when combined give you the access you're looking for as an attacker.
About 50 billion which is what American was asking for. Considering they have posted between $3-15 billion [0] in quarterly profits over the past 10 years, it seems reasonable that they could have saved a rainy day fund _and_ bought back stocks.

[0] https://www.macrotrends.net/stocks/charts/AAL/american-airli...
The vast majority of the device emulation is in user space, even with KVM.
I have three flights booked through July with United, and I'm likely going to have to cancel all three of them without a refund. Another rub is that they've changed the flight schedules on all my flights 4x now since February, and there is no option to view the original schedule of my flights. I believe a few of my trips have been ruined by these schedule changes (e.g. won't be able to make it for dinner with friends, or now can't get back before an ungodly hour in the early AM), but I can't confirm the original schedules...
> memory requirements

Agreed, although this bit is unclear - the compressed representations of the ML-based methods take up much less space in memory than traditional methods, but yes - the decompression pipeline is memory-intensive due to intermediary feature maps.
It's says that some people can't resist spreading rumors and jumping to conclusions. You have no idea how long standard docs are stretching masks.
I don't know of anyone who got rich by good, honest, hard work without also getting insanely lucky. I know of people who got insanely lucky without being good or honest.
It's probably for overall logistic reasons, so the masks can pack flat and be transported as efficiently as possible.
Since when is equitable outcome a goal? Brand new treatments like all technological innovations take money to develop and will always be expensive for first adopters.

Care that becomes faster, cheaper and better is a goal. With the exception of some pharmaceutical regulatory capture shenanigans and administrative bloat due to growing regulations, the healthcare system actually does a really good job at achieving at least two of those goals. Pretty much every treatment available 20 to 30 years ago is faster and better today. Some are cheaper, and some are more expensive.
what about the "edge case" where people don't actually want to own the place where they live? it's hard to imagine how buying/selling a property every 2-ish years would be an improvement over paying a premium to rent.
I used a face-shield in October when I was using an HVLP paint sprayer indoors, so there are definite uses besides the current pandemic.

It definitely cost more than a few dollars and is not disposable.

Also, according to the documentation, these are re-usable and can be sanitized w/ alcohol or H2O2.
Not necessarily...

the common law concept of restitution requires that the parties be returned to their original, pre-contracting positions. In reality, this means that the parties must return any prepaid monies or deposits

https://www.agg.com/news-insights/publications/your-event-is...
> Also, why isn't there consideration for nationalization of one of these failed airlines rather than giving them tax payer money even as a loan?

Once you have a national carrier they want bailout after bailout. Politically it looks bad to let your national airline fail, and they know it.
If anyone wants to play taboo online: https://abidlabs.github.io/infinite-taboo/