jkeisling/hacker-news-corpus-2007-2022 huggingface dataset:
My understanding is that it's just smaller. By focusing entirely on validation it opens up less room for bugs.
Spooky. My original post did link to the Telegraph website (which had no image). I have no idea why and how it got updated to link to japanesetimes.co.jp, which has that picture. Maybe some HN AI magic? :)
anybody using node for their startup? I am not sure if it works for larger projects, but that opinion may well be tainted by my dislike of javascript.
Is it possible to buy out an island from an existing country to start your own?
Github: https://github.com/aryzach

How I've learned everything: https://aryzach.github.io/ClassAndBookReviews.html

Location: Austin, TX

Remote: Willing to work remote or in office

Willing to relocate: Yes

Technologies: Python, Haskell, Git, Linux, Racket (Lisp dialect), Ruby, Agda (theorem prover), Rails, C

Résumé/CV: https://aryzach.github.io/Resume.pdf

Email: zach_asmith@yahoo.com
Or a liquid that's not repelled by the surface. What would happen if you just dumped a lot of washing up liquid on this nanosurface? How would you rinse it off?

Watching the video I thought the thing with the teflon was a bit silly. After all if you wanted to think of something that won't hold water at an angle, wouldn't you think of ordinary glass rather than teflon?
Languages may not be perfect, but language features can be compared, and some features are strictly more powerful than others.

There is scope for legitimate criticism of language design based on the expressive power^1 of their features.

In this case, generics would make Go strictly more expressive, as, without it you must write O(n) more code or perform a global refactoring to simulate it.

1. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.51.4...
> I've always hoped we'd move to a 0-100 scale where the scale is the temperatures people can relate to.

That's exactly what Celsius is, except it pegs 0 and 100 at non-arbitrary temperatures that are both scientifically precise and exceptionally relevant to everyday use.
I've read your better analogy three times and still don't understand it. Is the crust the extraneous leg of the flight?
Myrtle Beach, SC - Ruby on Rails Developer - http://KidsCanGiveToo.com

Do you want to make a big impact in the lives of children and charities?

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KidsCanGiveToo.com is a seed-stage company that provides an online birthday party service making it easy for kids to share half of their gifts with a charity. Guests receive invitations, RSVP online, make donations, and the money gets split between the child and a charity of their choosing.
For charities, we offer an innovative way to raise significant funds with very little strain on their resources.
Our big vision is to fund charities while changing the mindset of a generation by streamlining how we give gifts to celebrate kids' birthday parties.

Job Location:
We’re located near Myrtle Beach, SC (Low cost of living, great weather - Learn more at WhyNotTheBeach.com).
Come visit, and work remotely while you relocate here at your pace.

What we are looking for:
We are looking for a skilled full-stack Ruby on Rails developer who has a “get stuff done” attitude and wants to make a real difference in the lives of children and charities.
You’ll be one of our first full-time hires, and in addition to a career filled with purpose and opportunity you’ll get a combination of salary, equity & benefits.
We respect work-life balance and offer vacation and work at home time.
At KidsCanGiveToo, we welcome visionaries and dreamers - individuals who don’t wait for change, but make it happen!

You should have experience working on a team building consumer-focused small to medium-sized ruby on rails applications. You should be self motivated, and able to prioritize between feature development, bugs, and new issues that arise. We want you to be more than just a code monkey - You’ll be an integral part of the team… strategizing, building the dev team, and helping define our culture!

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We’re being incubated by Startup.SC and have the support of their staff.
Hugo is too complicated for me. It feels like a framework for setting up documentation websites, not blogs. I tried to make it work, but was put off by all the work I had to do.

What I want is basically need is `$script article.md > article.html` and then `git push` or even manually upload it on a form somewhere.
super rich of the 17-century wanted to acquire stuff as much as we do

"Stuff" is very different when everything has to be handmade: https://news.ycombinator.com/item?id=8940950 That kind of sets an upper limit on how much you can have.

The "collector" instinct certainly predates the 20th century. A lot of our museums are built around the personal collections of rich individuals amassed in the 19th century when antiquarianism became popular.

Conspicuous consumption for competitive social purposes is hardly new either. The example that comes to mind is http://en.wikipedia.org/wiki/Field_of_the_Cloth_of_Gold

Prior to C20th it was more common to acquire people, by hiring them into your retinue or domestic staff.
The Cython implementation makes it somewhat believable that it's faster than CoreNLP, but I'd also like to hear a deep-dive on why it's several times faster,

Time complexity. The Stanford parser is a phrase structure parser that creates dependencies as a post processing step. So, assuming that they use some variation of CKY, the time complexity is O(N^3 |G|) where |G| is the size of the grammar. This uses Nivre-style greedy parsing, which is O(N).

So, a slightly fairer comparison would be e.g. the Malt parser. Although this will probably be better than that in terms of accuracy, since last time I checked the Malt parser doesn't use dynamic oracles yet and by default doesn't integrate Brown clusters or word embeddings (though you could do that yourself). Though I wonder a bit about feature set construction, because in my experience perceptrons are far more sensitive to adding 'wrong' features than e.g. SVM classifiers. This becomes interesting especially when you train a model for another language or dependency scheme annotation, since the features that are relevant differ per set-up.
If, as Tanenbaum did, you look at it from a computer science perspective, Linux wasn't good, indeed. It was 'just' a Unix clone.

From a software engineering perspective, it left a lot to be desired, too. It basically only supported what was on Linus desk.

One could say the things Linux had going for it were a) a GPL license, b) being small, c) arriving at just the right time, and d) Linus willing to accept external input.

Whether a) is an advantage of course depends on personal preference. b) helped with d) because it made it feasible for many to download the thing; c) was luck; d) IMO was the most influential factor.
Are you talking about an independantly owned corner hardware store? I can see your point if you're talking about a chain of stores.

The definition you used does not specify minimum employee levels and I'm a bit confused why you added those minimum levels.
"...web UI..." oh no. Not really an alternative then.
Hence the value of rubber duck debugging.
Sure.

First of all, the target output of the two systems is exactly the same --- labelled dependency parses with the same schemes, parts-of-speech, tokens, and lemmas. At least, that's how I run the CoreNLP in this benchmark. It has some other processing modules, but I turn them off for the speed comparison.

Second, very very similar algorithms are being run. The new CoreNLP model uses greedy shift-reduce dependency parsing, same as spaCy. That CoreNLP model was published late last year; before that, CoreNLP only had the older polynomial-time parsing algorithms implemented, which are much slower, and often less accurate.

You can see their paper here:

http://cs.stanford.edu/~danqi/papers/emnlp2014.pdf

The contribution of Chen and Manning's paper is to use a neural network model, where I'm using a linear model. (More specifically: they show some interesting tricks to make the neural network actually perform well. I suspect many people have tried to do this and failed.)

Chen and Manning say that their model is much faster than a linear model, because the linear model must explicitly compute lots of conjunction features --- I use about 100 feature templates.

So, they probably have something of an algorithmic advantage over my parser, although the extent of it is unclear. I'll only know when I implement their model. It's not terribly hard to do --- it's just a neural network --- but it's lower on my queue than a number of other things I want to work on. My hunch is that I won't see nearly as much benefit from it as their results suggest, because their baseline is quite weak.

So, I do think all we're seeing here is the same algorithm implemented in Java and C, so the C version is coming out 7x quicker. This makes sense to me. But, possibly the CoreNLP parser has to do some contortions to integrate into their framework. I don't know.

There's also a meta-level point. Maybe I just tried harder. The Stanford paper would still have been accepted, and still have been great, if it ran at 50% of the speed that it does. And we'll probably never know what would happen if the author spent a month doing nothing but trying to optimise the code --- I can't imagine he/she ever will. That wouldn't get a publication.

For your other question, about what spaCy offers and what CoreNLP offers. These are the main things I'm missing at the moment:

* Named entity recognition

* Phrase-structure parsing

* Coreference resolution

I have some preliminary work on NER. I plan to roll that out next, along with some word-sense disambiguation. PSG parsing is no problem to do either.

Thanks for the suggestion to include an evaluation of OpenNLP -- I'll do that.
> Am I now supposed to be shunned for making that argument?

The way I see it the state does not have a say in who I fall in love with. Neither do you or anyone else.
Generously assuming people live to 90, saving a 30yo who would have died of covid saves 60 life-years, while saving a 70yo saves 20 life-years, i.e. 3x more.

But the risk of dying is around 50x higher[1] for a 70yo compared to a 30y, which means you have to vaccinate ~15x as many 30yos as 70yos to save the same amount of life-years.

So vaccinating the elderly first both saves lives and more life-years.

[1] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/investi...
The WHO could have chosen not to ignore Taiwan's warnings and launched their investigation earlier independent of China's claims.

Being skeptical is necessary when considering China's terrible past track record. The SARS epidemic also started with a denial and cover-up by China.

There are many other news sources apart from Taiwan News. You can check out the FT. You can check out Reuters. (Decrying Taiwan News as comprising of anti-Chinese nationalists is rather strange considering the CCP's stance against Taiwan)

https://archive.is/nqiKV
https://www.reuters.com/article/us-health-coronavirus-taiwan...

Please note that even in Feb, the WHO chief was saying travel bans. are not needed
https://www.reuters.com/article/us-china-health-who-idUSKBN1...

"The head of the World Health Organization said on Monday there was no need for measures that “unnecessarily interfere with international travel and trade” in trying to halt the spread of a coronavirus that has killed 361 people in China, and he lauded China’s efforts to contain it." (real figure as we learnt later was already >10x by that time)

“It’s no reason to really panic now,” he said. “The chances of getting this going to anywhere outside China is very low, and even in China, when you go to other provinces, it’s very low.”

"The WHO continues to advise against the application of travel or trade restrictions to countries experiencing COVID-19 outbreaks"
So how did you build it? Where's it hosted?
I remember playing multiplayer Doom over a modem back in the days. I had to shrink the view port down to the size of a postage stamp to maintain reasonable performance; I felt like a T-Rex playing like that (if you didn't move, I probably wouldn't notice you [especially if you were indigo]).
I don't mean a phone call to stop ff, just tracking the positions of the phones to prevent it.
Agreed, the current overview sucks. Amazon should hire the guy :)
the other issue (and the bigger one imo) is that the experiment described in the video seems to be a one-off payment, which you would expect to have very different behavioral outcomes. if you gave me $7500, I would probably just put it all in SPY and pretend it didn't happen. if you promised me $7500/yr, I might actually change my lifestyle a bit.
Yes, I do need to add more docs - work is getting in the way a bit at the moment though I'm using RCC++ for that so am maintaining and improving it as I go.
combination of storage batteries and solar panels could give you unlimited range

See http://www.solarimpulse.com/en/our-adventure/solar-impulse-2
That sounds a little more reasonable. Hopefully they do a reprint, I am a big fan of those large format coffee table style book, presuming it's about something interesting.
That sounds terrible. If I saw something like that, I'd probably do the problem, then look up more information on it. I'd probably start with wikipedia but move onto google (well, ddg these days) if I didn't find anything.

The sort of policy that does not allow one to do basic research is pretty anti-academic if you ask me.
No matter how much I love the service, I hate it when a service wants access to "update your data".
oh. this is interesting. Is there a place on Stack or Linkedin where I can tie my profiles together? I did a quick scan and couldn't see anything (or should I put it in my stack-bio?).
This is AMAZING. I didn't mind the maroon on beige as much as some, but I hate the crammed feel of a blogspot page, and it does an amazing job of freeing that content.
http://www.zephoria.org/thoughts/archives/2010/05/26/pew-res...

http://www.truste.com/about_TRUSTe/press-room/news_truste_20...

http://www.fastcompany.com/1693718/teens-want-more-privacy-c...
There's a bit of fuzzy math going on here. The equity formula is measured in terms of annual salary but stock actually vests over 4 years. So for the senior team member, they're actually getting 12.5% of their salary in stock every year.

If you assume the fabled 10X exit, the home run exit which makes the portfolio for investors, then that means the senior exec basically gets about double his salary as a reward for the exit (taking into account further dilution). For a "key function", a 10X exit represents a 20% bonus.

These numbers seem pretty underwhelming to me.
Pragmatic Thinking And Learning is outstanding. I killed at least one highlighter on the first read. It's a permanent bonus to your first derivative. In fact, thanks for reminding me it's time for a re-read.
> We were explicitly told that searching online for answers to homeworks was forbidden.

I might be in the minority but I am of the opinion that if you are grading students on something that can be easily obtained through a google search you probably shouldn't be grading them on that.
I didn't realize until now that part of the NYT's strategy in having a Mandarin version may be due in part to it's being blocked in China -- a reply to China's censors, of sorts.
How can someone can claim something written for JVM such as clojure is lightweight? At the same time saying java itself is not-weight?
The problem of housing in Stockholm isn't about how expensive it is to build; it is about zoning (and rent control on top of that).

Generally, third-world solutions (tents, shantytowns, container homes, or this) are a solution for how to build cheaply. First-world problems are mostly about zoning and permissions to build.
GA isn’t really a difference in notation exactly. It’s a difference in model.

Anyway, the model is great, and IMO should be taught in high schools. It would reduce a lot of redundant and obnoxiously inconsistent existing models we use instead, and ultimately save students a lot of time.

It takes a bit of work to get used to reasoning in GA vs. the standard vector model, or via trigonometry, etc., but there’s a pretty big payoff, I find. Many problems are substantially easier to reason about in GA terms, and many bits of bookkeeping can be avoided compared to the standard approaches.

More generally, the study of geometry has in general been systematically deemphasized and devalued over the past 100 years, in favor of analysis. This has IMO caused some serious problems for students’ and scientists’ geometric fluency and reasoning. GA is IMO one way of helping reunify algebraic/analytic with geometric reasoning.

By “in the works” he probably means that since David Hestenes has put in a career’s worth of work reintroducing / popularizing the ideas that were mostly ignored after Grassman’s time with the singular exception of Clifford (except in highly technical pure mathematics contexts, and by a few physicists for studying general relativity), and especially in the last 20 years or so since a slightly bigger community has gotten involved, it seems like GA is picking up some steam. Many more people have heard/thought about it today than 10 years ago, there are now a handful of textbooks, etc. In particular some computer graphics / computer vision / robotics folks have found GA very useful to their work.

As for why physicists haven’t been champing at the bit.. GA as a model doesn’t allow people to solve any new problems that they couldn’t solve before using existing models, it just makes understanding what’s going on a bit easier. It’s sort of like refactoring all your code: it takes a lot of effort to reframe everything in terms of a new model, and the payoff is mostly for the people who are learning the material for the first time rather than for current professional mathematicians and physicists. Radical changes to low-level models take a long time to propagate through society, or sometimes are altogether impossible (which is why we still use base 10 instead of base 12, why America is stuck with imperial units, why we have a completely hacked together calendar of unequal length months, why we use π as a circle constant instead of either 2π or π/2, why we haven’t normalized English spelling, etc. etc.)
Yeah, it's basically a toolkit for building jitted languages. Basically the easiest way to get a tracing jit these days. So it'll be a self-hosting jit similar to pypy or pixie.
>your reps in either House of Congress

I would guess that would be the most expedient route, if you can get them interested. If you work for a big employer in their district, and are comfortable with it, having your employer reach out to them might help.
Is Fuchsia (and Flutter by Extension) dead since the Oracle thing has worked out now?
I don't know how old you are, but the 741 was obsolete in the 1980s. It sticks around in EE textbooks because it's such an easy way to demonstrate problems with op-amps... high input current, low gain-bandwidth product, low slew rate, etc.

I think your jellybean op-amps would more likely be TL072, LM358, or NE5532.
> a reasonable reason for keeping the source temporarily secret.

that's the crux, isn't it though? lots of people don't. that's a pretty big implicit ask there.
There's a lot of opportunity in enterprise, but it's really hard. I spent 20 years in enterprise myself before founding my own startup in that space. The sales cycle just kills you. I can have a product that would save enterprises hundreds of thousands a year, but it takes weeks, months, years to make a sale!

And modern B2C-oriented startup thinking doesn't get it. The sort of Lean/MVP/failfast thinking doesn't work so well when you're building for a half-dozen meetings spaced out over weeks, to match arcane localization requirements for the target customer. The reason startups rarely penetrate is because it's slow, hard, and painful - the sort of thing where big deep-pockets entrenched companies have a huge advantage.

Worse, young startup founders don't have the enterprise experience to grok why everything is so slow and so hard. It's easy to look from the outside and think those silly enterprise people must be stupid and/or malicious to make such an opaque maze of red tape. Hardly! The enterprise is filled with smart, committed, hardworking people who almost inevitably wind up in the same boat, across the many enterprise verticals.

Enterprise is valuable because it's expensive. It's expensive because it's really, really hard. Don't forget that.

On the other hand, if I can make it work as a founder, it's going to work huge.
I don't know about the US but anecdotally it's been definitely the case for most of my work contracts in Brazil and Sweden for the past 17 years, I believe that only 2-3 startups I worked for didn't have a clause about moonlighting requiring pre-approval from management.
Don't trust neoclassical economists to understand macroeconomics, let alone climate science: https://www.tandfonline.com/doi/abs/10.1080/14747731.2020.18...
I wouldn’t think it’s really that complicated. The autopilot on a 182 would do the same thing. If the nose is pointed at the ground, pull back on the yoke. Etc. The nicer ones can even stop a spin and have a button you press that’ll return you to straight and level flight. I guess a fighter is often purposefully in attitudes a regular plane normally isn’t, but I’d bet it’s a simple warning and override.

But I don’t fly fighters so I’m just guessing. Collision avoidance with other planes In a dogfight might be a lot more complex too.
Good read. Thanks. I agree about the careful nature of things written about this. The blurry yet straight lines that seem to be able to be drawn from boeing upper-level to the political upper-level and even the president I think make this a rather dangerous subject to dabble in as a journalist.

I wouldn't be surprised if you never got a promotion after writing something like this because your boss' boss got a "call".
Its weird that people still have computers that use swap when 16 gigs of ram costs like 80 euros.
Yeah, same for me.
They should enable some caching plugin...
That's correct that the requirement to be on team Gridcoin was removed in 5.0.0. You can now earn Gridcoin from any BOINC team.

The manual rewards claim is still in the works although there's now some more specific plans in mind [1] for it than there were in the past. It's on the roadmap somewhere

[1] See this message from Jim Owens (one of the core developers) about some of what he's thinking https://discord.com/channels/211637812968161280/338020950714.... I would normally quote this instead of making you have to join a Discord, but it's rather lengthy and part of a discussion
Wow, this seems to be even faster than SCSI2SD, at least according to their benchmarks:

https://github.com/akuker/RASCSI/wiki/Benchmarks
> Don't the tests just run on the branch before the merge?

The merge button is only green if github could generate a merge commit, and that merge commit is made available. You can run your tests on either the branch before merge or the branch after merge, as you prefer.

You may want to do both and have the former block the latter: the merged head is going to change (and require a re-test) any time the target branch gets a new commit, no point in wasting cycle if the branch's own tests don't pass in the first place.
She also lost all taste and smell for nearly a year after.

Love the down votes.