skysight-inc/HackerNews huggingface dataset:
It seems ridiculing in the context of a mutually ridiculing discussion.

If you're saying it isnt a mutually ridiculing discussion, rather, it's taking place in a context of affected ridicule for the amusement of its interlocutors -- fine.

I don't know the context, if that is it, then I am wrong.

However from the author's comments here about how obnoxious the other guy is, I believe my view is more likely to be correct.

NB.

You can infer intent from style. You can infer intent from anything we all do it constantly as a requisite part of ordinary human interaction, and it is often very successful.

"Intent" isnt some radically internal part of an inaccessible void, it's the motivator for your actions which is often trivial to infer in a given context. However, with anything, inferences may be wrong -- this does not make them ordinarily so, impossible, or generally suspicious.

I think intent matters to (1) and (2), it doesnt matter to (3). The claim I was defending, that this article is (somewhat) shaming and this claim be interpreted as any combination of 1/2/3. Personally my view is that it is all of them (possibly, justifiably so).
thanks everyone for all the discussion in this thread. Being the author of this website, I would love to hear any suggestions - I will try to add more interesting stats in the future but keep it lean at the same time. Also I hope people read FAQ section on the website, I had tried to touch upon very common questions but in a different way so that it can make people think rather than running to conclusions quickly.
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The only reason why South Park makes me feel smart about myself is that I watch something that sometimes contradicts my opinions.

I think the author of the Outline article just doesn't like the political stance of the show. The point about Token is in bad faith IMO - he isn't the richest guy in town as a cheap joke, but because changing a few things around from reality makes it easier to have a fresh look at the situation and have new insights. They use this technique all the time. In this case, it separates poor people problems from black people problems.
On desktop:

- Resophnotes (using Simple notes backend)

.

On mobile:

- Google keep (Writing nonote
s- Notational Acceleration (Reading notes)
Where I live the two major hospitals now have surveys after every doctor visit where you "grade" the doctor and your experience. This has caused a lot of doctors to just give patients whatever the hell they want because otherwise their career may be in jeopardy.

Add to this the inherently difficult process of figuring out just how much pain a person is in and prescribing the correct medication.

It really is a lose/lose situation for doctors these days. The changes have to come from above them at the administrative level.
Bail is set independently of net worth, but is that how it should be?

There are tons of poor people stuck in jail awaiting trial for relatively minor crimes because they can't afford what would be a trivial bail amount to most HN readers. A rich person who commits a much more severe crime gets to sleep at home, or can flee if they think they don't have a good chance of winning without a big financial impact. Is that just?
> Benefits are encryption + cross-platform sync.

Great features but I find the pricing a bit too high (for a consumer product).

Does it have vim bindings?
Well, this is MathOverflow, which is quite separate from the rest of StackExchange and has their own rules. Although this particular question did receive an inspiring answer from an eminent mathematician, MO specifically wants to be a site for research mathematicians to ask and answer each others' research questions. They need to be pretty strict about closing off-topic questions so as not to be overwhelmed with undergrad homework issues or so-called "soft questions."
> Result

> Although, the idea of giving up the password looks crazy and unusual, at first glance, it can give a number of benefits, and make life easier for you and your users.

I wouldn’t call that a “result”. Does anyone know of examples where a system like this has been used successfully?
In my opinion that's a contrived example. Why specify the type signature explicitly in the `let` line, instead of allowing the compiler to infer it? Why put a struct inside a `Box` (a heap-allocated pointer) and then the `Box` inside an `Rc` (a reference counted heap-allocated pointer)? Why go through the trouble of extracting the contents of this nesting doll of heap-allocated types, only to rewrap it back up in the same type structure before passing it to `my_trait_fn`? Why does `my_trait_fn` need to take ownership of an `Rc`? And if it really, really needs to, why not just use `clone`? Then you'd actually be taking advantage of the, uh, reference counting.
Yeah, the only downside of heap storage is the alloc/dealloc cost -- once you have the memory, it's all just bytes in RAM, whether heap or stack.

It's not even a clear tradeoff for large arrays, because using value types on the stack implies lots of copies -- when you have a large block of data you want to refer to it by reference.

Also, stack size is finite and relatively small -- 2MB-ish default per thread on Linux, or is it 8MB? -- so placing large matrices there will work until it doesn't. Heap allocation has all of virtual memory at its disposal.
A lot of doctors didn't know that they were writing inappropriate prescriptions, because they were evaluating the tradeoffs based on information from the drug company that said these drugs were much less addictive than they really were.
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Lack of multidimensional arrays as a language primitive is a problem. It was a problem in C, C++, and Go, too. There, you either have arrays of arrays, or some macro/template that does a multiply on the subscript. The reply in one of the Rust forums is that multidimensional arrays are only found in "domain-specific languages", like FORTRAN.

When someone brings this up the usual excuses are trotted out:

- "It can be done with templates".

- "You can have an array of arrays".

Then there's bikeshedding. Some people want to be able to extract an arbitrary subarray slice from an N-dimensional array and treat that like a regular array. This is possible but complicated, and if implemented slows down the simple operations. Then there are people who want N-dimensional arrays where N is determined at run time. (This now includes the machine learning people.) Endless arguments between these groups resulted in nothing being done in Go. I haven't followed that discussion for Rust.

The big advantage of doing this in the language is that there's a lot of hardware support for doing number-crunching fast on dense arrays, and you want the compiler to be using it effectively. Matrix multiply on arrays of arrays is much slower than on a dense array where the compiler knows the spacing between the rows at compile time.

At least have arrays as good as FORTRAN. This is why some heavy number-crunching work is still done in FORTRAN.
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Those solutions still allow the host and all the other containers to be compromised through a kernel exploit, though, can't they?

The most secure isolation is provided with physical separation. Second best is VMs. Containers are a distant third.
I am not sure as I haven't seen the entire codebase, but it is hard to understand why anyone would write rust like that.

Heavy use of a construction like Rc<RefCell<Box<_>>> is often a sign that someone is trying to replicate something like c++'s std::shared_ptr<_> in rust rather than write code in a manner idiomatic to rust. Also, given that the article's second point results from a confusion between a memory slice and an array, it is difficult to see this as an informed discussion of rust.
>I went and Google'd "rust linear algebra library" and immediately found https://nalgebra.org which can represent such matrices just fine, and even integrates with LAPACK. Did the author do this most cursory of research before springing to write their rant? This is like saying "Python fails hard at scientific computing" because the default list type isn't an efficient basis for representing matrices, while entirely ignoring NumPy.

The author didn't want to use/leverage/whatever some ready made package. He wanted to write his own.

Python does suck for scientific computing at that level as well -- Numpy and Scipy are huge wrappers for C/Fortran etc code.
I use Bear alongside my Apple Watch and dictate ideas that I process later under a GTD-like tagging system depending on the type of note.
But how many times do you actually have to log in? Depending on the site, you may never want to log out. So a login event can and probably should be very rare for most sites.
I like small high-res mice. Sadly high-res are usually gamer mice which often means not small not wireless not cheap.

I used a r.a.t. m for a while, but the drivers suck. Now I got the Logitech G900 (got it for a lucky price), but it is biiig. Especially nice with it: you can map a lot of buttons (and a shift button for even more).

I really liked a few cheap dongle mice, but I break the keys to quickly on those.

If clicking hurts: map some keyboard key to the mouse button.
Should we adjust criminal justice or adjust wealth? What you describe is a well-known inequality that comes with being wealthy; bail is built for the 99%, and being rich is a good, unfair way to remain in control of such a situation. But is altering the impartiality of several elements of the criminal justice system to pursue the occasional unjust rich guy the right answer? I don’t know. Is there any country in the world that does bail that way?

It seems like there could be a lot of unexpected drawbacks to such an approach, since on the other end it’s harder to justify a high bond for a destitute, transient murderer, for example. If you’re okay with $100 million for this guy, it follows that you’d also have to be okay with $10 for him. Otherwise justice is partial and biased, even more so than it is now. Ignoring net worth seems safer, but again, I don’t know.
Tell me again why fentanyl isn't a schedule 1 drug and totally illegal.
It seemed to jump the shark around season 6 (IIRC) when they just turned up the grossness, but became better than ever after that and more or less stayed there.
The quality of the show still depends the writing. Plus, animated characters can take on every imaginable role (as Homer’s multitude of jobs show).
The rest of my post refutes that point; the first line was intended to demonstrate how terminology like possessiveness over data is both ambiguous and unhelpful.

And as for the "feudalism" analogy: no, I'm most assuredly not saying that, don't put words in my mouth. If people voluntarily visit my site and send me data, the natural consequence is that I now have that data and can do whatever I want with it. Anything other than that would be an artificial restriction, and one not justified by simple possessiveness on data given that the same possessiveness applies in the other direction as well.
Medicine is not so black-and-white.
I deleted the Facebook app somewhere last year. I still have the option to go check Facebook when I want, but without the push notifications I find myself checking it less and less. It's still very useful as an events aggregator.

I don't really use Snapchat, Instagram, or Twitter anymore and I didn't really miss them when deleting them off my phone. The only things I have to work on next are HackerNews and Reddit.

I've been trying to replace my break times with book reading instead of Redditing/HNing. It's still tough because my breaks are relatively short and I don't feel like I get to fully immerse into the book before I have to set it back down and get back to coding.
Very interesting; I've ignored random forests more than I should. Thank you!

I won't comment on your methods except to say that comparing classification over linear PCA against a kernel PCA in linearly unseparable data isn't exactly fair, and I think that providing an SVM performed on a different kernel PCA decomposition or a kernel SVM itself would be more illustrative. (Is your code available?)

I generally think of neural networks as enormous meta-kernels. (Composites of <composites of...> kernels) This generally leads me to think of ways that kernels can be turned into neural network layers.

Great work has been done turning powerful tools like Random Fourier Features/Kitchen Sinks into layers in neural networks (e.g., Alex Smola's Deep-Fried ConvNets [https://arxiv.org/abs/1412.7149] and Choromanski's Structured Adaptive/Random Spinners[https://arxiv.org/abs/1610.06209]). Deep Forest [https://arxiv.org/abs/1702.08835] is a method which claims to work well, but it's somewhat odd; It's not quite what I would have imagined.

My biggest criticism of random forests is that the more expressive models are more memory-hungry and expensive at both training-time and run-time than many comparable methods. But bounded-complexity trees with smart implementations seem to be a lot more useful and have broader applications than I give them credit for.
>It might seem that if you don't take a crash course in machine learning and blockchain, that you'll be unemployable in a few years-- but in the past couple years I've personally seen dozens of business problems that could be solved by a decent programmer, and companies willing to pay for it, if only they had a way to connect. The problems just aren't where most people think the jobs are. Small manufacturing plants with funky regulatory requirements, construction companies, sausage factories. Not sexy, not glamorous. Just work that needs to be done.

I think you have hit upon one of the major problems in the industry. They don't seem to find the 'right' fit. But why are they being so damn picky ? Can any decent programmer not learn the new stuff?

Anecdote time: I'm see recruiters ask for Java 8 experience and presumably I'm not considered because I do not have experience in Java 8. Is Java 8 impossible to learn for someone who has spent a fair amount of time developing in the previous versions of Java? Now if Java 8 was the only missing skill I would have considered learning it ( In fact I sort of skimmed through it and have more than a fair idea of what it is) but the whole game it does not end up with one new buzzword, there are atleast 10 others. noone can possibly learn up all topics that the requirements allude to.
This code is just... wrong. On multiple levels. It's probably not doing what its author thinks it does. It also contains significant duplication where its entirely unnecessary.

Suffice it to say that you should probably not judge languages based on examples written by people who don't understand the language.
I don't know if Nim would be my first choice for a future scientific computing language. I think I'd be more focused on Julia or, recently, Crystal.

Julia has some extreme magic that it can do to make your life easy. Crystal will attract the Ruby-like crowd of people who will create very neat and effective libraries.
"Telling truth to competence."

Brilliant.
Because it has legitimate uses for clinical short-term pain management, which should really put it in schedule 2.

With cannabis up in 1, though, I guess those scheduling guidelines don't actually mean a damned thing.
I started there, 1st edition IIRC - went up to refs and borrowing and then thought maybe the by example approach is something I would like better - and I do find the example approach keeps my interest better.

Although I suppose I should go look at the 2nd ed draft when I need to look into more theory - reading the refs and borrowing section from 2nd ed right now :)
I felt Simpsons lost it by S7.

When other shows lost their magic:

Southpark - S5
It's Always Sunny In Philadelphia - S6
Arrested Development - "S4"
Deadwood - ended before its time!
New Girl - S3
Big Love - S3
GoT - S7
Friends - S6
Office - S7
Workaholics - S4
The League -S4

My baseline seems to be around 5 +- 2 seasons. Saw another poster say same. Similar dynamics apply in any creative job -- the writers can get bored and complacent, early success leads to staff getting lured away, etc. Must make it extremely hard to maintain quality.
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I don’t see race even mentioned in the part you quoted. What I do see is something along the lines of “if your impression of the U. S. is from television and popular media, West Virginia might not be what you expect”. Reminds me of a co-worker from decades ago whose family asked him if the U. S. is really just like the TV show Dallas. Umm, not in Indiana it’s not.
Not entirely, I’ve seen companies in my city sit on open recs for a year waiting for a unicorn and/or culture fit. For example I have 20 years of experience doing the things Hulu has been advertising for a year but my resume gets denied on submission.

In that case I have a feeling it is more degree-ism than ageism, but hard to say for sure. Demand is apparently not enough.
This. 1password is just amazing. I've been using it since the pre-release betas and it's one of those things I wouldn't live without. Security is good (at least good enough) and it's simply not worth my time to try to roll out my own. All alternatives I've tried fell short of 1P as well.
That first line was intentionally using the same ambiguous terminology as the post I replied to, to demonstrate that it applies just as well in the other direction.

To be much more precise: the server and the code running on it are under my control, and data is voluntarily sent to that server.
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I think the short answer here, or the inverse of the answer :), is that you begin to become irrelevant when engineering stops being the thing you like to do. I don't think you can force yourself to remain a valuable engineer if you don't like what you're doing, and conversely if you do like what you're doing it's not at all hard to stay relevant. I know many people who have been doctors, lawyers, architects, civil engineers, etc., for their entire lives and retired with some measure of distinction and the respect of their younger colleagues. Nobody ever thought to ask them why they kept doctoring, architecting and lawyering and did not go into management. Programming and systems engineering were not jumping off points to my management career: this is my profession, and fortunately it's one that doesn't require great physical agility or stamina, so as long as I am able to avoid atrophy of the brain I hope to continue at it for some years yet.
*grown? Ah, geeze.
The authors of nalgebra seem to have succeeded where the author failed, then. Perhaps because they took the time to understand what slices are.
I've been suffering similar existential career dread recently. I'm 41 and it seems like the demands on me as a geo dev are getting ridiculous i.e. you must be a full stack developer in several stacks, know Windows and Linux, be an expert in Esri AND open source GIS and preferably have an earth-shattering Github profile and be able to consult, do marketing, etc. etc., and all for a salary that is probably 1/2 to 1/3 what someone would make at e.g. Google. And yet it's been hinted that my employer considers me expensive and apparently thinks they can replace us pricey oldsters with cheap grads >:(

Hoping to switch into a pure .NET role soon and leave the madness of being asked to work in a different framework month by month behind. That said I think the idea of working together on something altogether different from tech sounds interesting.
Is there some website where you can see a good visualization of IMDB or other ratings across seasons/episodes like that for any show?
Interesting to see him mentioned for his commentary on the Simpsons, had picked up on him before due to his Irish accent but I know him from Real Engineering -- it's light content but it's well made. Might be of more interest to HNers: https://www.youtube.com/watch?v=YzRlga2-Hho
The only license restrictions on community are for companies with more than 5 developers.

Any larger company can surely afford professional licenses.

When I started on IT we had to buy everything, just like on other professions.
I'm generally a fan of this method and have picked it for a couple of projects in the past. With relatively long session lifetimes, the UX is acceptable for many use-cases.

One thing worth pointing out is that the algorithm as described allows for a timing attack on the sign-in token. A common mitigation to this would be to do the database lookup using a different key (the email address, primary key or any other unique value that's not related to the actual token) and then use a constant time string comparison algorithm to compare the tokens. Another best-practice would be to store a hash of the token rather than the token itself. This reduces the impact of a leaked database dump, where a copy of the database is stolen (think: public S3 bucket), but no (write) access to the database is gained.

This is a relatively low-priority issue, but it's an easy fix, so probably worth considering.
I use Docker mainly in situations where the required dependencies (Java, GTK, etc) conflict with the versions on my system. In this case, the service running in the container is required, unless I want to upgrade the operating system, and I'm on CentOS 7 for a reason (stability and security).
I disagree (but then again I am biased). I think Nim has a chance of attracting the Python-like crowd of people (plus Python has some very good scientific libraries like pandas) and I would be willing to bet that Nim's ability to perform magic surpasses that of Julia (or at least is equivalent).

Edit: Shameless plug. My book, Nim in Action, is 50% off today with code HalloweenPB50 (From Manning). Perfect opportunity to grab a copy and learn Nim :) https://book.picheta.me/
So 2 pixels or 4. Lower resolution is no protection, it just means the pixels are larger.
The author didn't say it was impossible altogether -- just that he would want actual malleable first-class multi-dimensional array types.
IME it's the typical code after a few hours of "fighting the borrow checker" if you didn't plan your data layout very carefully with the borrow checker restrictions in mind.
Posted 20 days or so ago but did not find many upvotes. My comments on the original post are still relevant:

-----

1 point by drallison 20 days ago [-]

Interesting but incomplete paper, apparently cited in from Redit although located on github.

Sadly, there is no information about who the author might be. One of the redit comments suggests that the author is gopher9.

The paper does cite as examples several of James Purdy's lanugage experiments. He is evincarofactum@github.