skysight-inc/HackerNews huggingface dataset:
the book "slow, fast thinking" explored this concept well thoroughly. It's not myth anymore human has both thought. it seems it's more than an simple abstraction on subconscious, it's almost another brain is watching the animal brain of you.

I believe this effect is the additional cortex layer made us experienced.
Superb 3D Effects of KDE Plasma 5.3  – Serious Reason for Switch to KDE/Linux
What's wrong with the GNU compiler?
Interesting that you like it. I really will have to give it another go. Thanks for the feedback.
Next time, please do the math yourself. It only took me a few minutes, and much of that was spent fact-checking.

To me, failing to perform such basic calculations is just as annoying as not reading an article, then asking a question related to its contents.
Cambridge Digital Library
You can make server-side changes without requiring the clients to update. That alone is more than enough reason.
Investors get high on marijuana
A coke and an egg is perfectly healthy. A coke is ~150 allergen free calories, with a useful dose of sodium and some caffeine. An egg is a good bolus of protein, minerals, and vitamins. The only way I'd consider that combo unhealthy is if the person in question happens to have an egg albumin allergy. On the other hand, soylent has glaring problems with its ingredient list. I would never eat it and consider it garbage.
GirlWithTrowel alludes to working under a press embargo. One woman's blog is not proof of much, however, press embargos are BAU for NASA missions, PIs get a year to publish before the results are public, however media coverage disappears a couple hours after mission events. So at least in mass "push" media, the data is never distributed beyond occasional PR team low res footage.

It would not be surprising if press/publicity stuff works the same for archeology missions as NASA missions, after all they're all academia employed PHDs trying to get published in journals, so convergent evolution and all that.

All the data is eventually released "somewhere" usually on a public website, but it takes awhile.
Anything by Phillip K. Dick. Start with the Valis Trilogy.
This is a pretty great enumeration of some common gotchas in Ember 1.x. Much of the effort ahead of Ember 2.x has centered around addressing precisely these gotchas, so I love how thorough your "Ember.js Mitigations" sections are.

Between the elimination of controllers (and therefore singleton controllers), and a reshaping of the `model` hook around a simpler "attributes for the top-level" concept we have coming, I am hopeful that most of these gotchas will be a thing of the past for anyone starting out in the Ember 2.x era.

We love seeing thoughtful, detailed lists like this, as they help to drive our priorities for improvements. Ember community: keep them coming!
I'm in the UK. I'll read up on those - US children should be better at their times tables than others then!

http://www.theguardian.com/news/datablog/2013/may/31/times-t...
Why not use the pixel values themselves to encode the data? Each pixel's RGB can encode three characters (one for each byte value). The resulting image would be much smaller.

(Not sure how twitter might alter the image though, which would corrupt the data).
I know or have met a ton of ex-Googlers, only a few ended up on the startup path.

Any workplace can get old after a while for all kinds of reasons. Or perhaps they just couldn't figure out how to navigate the internal politics to end up on teams doing world-changing stuff (let's be honest, the vast majority of engineering going on at google is pretty boring maintenance and bug fixing like anywhere else).
No, you're going to have to do the legwork of going to one of the many other pro-fluoridation sites to read those studies. Then, depending on how interested you are in the truth, you'll have to weigh all of the findings, and even look into who produced the studies (follow the money). Welcome to the 21st century, where it usually takes some effort to find the truth in controversial issues.

One thing to keep in mind while digging in, we know there is a financial incentive behind pro-fluoridation studies (it is expensive for business to dispose of it). As far as I know, there isn't much financial incentive in being against fluoridation, save for some boutique toothpaste brands that would probably lack the resources to conduct peer reviewed studies.
At Plethora, we're building the mechanical pieces of this - starting with full-auto, on-demand CNC milling as fast as LuLu or similar, then adding more capabilities.

Happy to make some free parts for anyone's ideas on here!

http://plethora.com

nick@plethora.com
Hah! Twitter for Enterprise, Bizniz, and Secrets!

Revolt and rejoice!

But... if this relies on fixed-ish protocol (fixed grid & font), can't The Man Upstairs censor it just as easily?
Some links about this:

http://blog.givewell.org/2015/02/05/putting-the-problem-of-b...

https://www.againstmalaria.com/NewsItem.aspx?newsitem=Net-us...
The subtitle of the article is "What Machine Learning Teaches Us About Ourselves"; This is backwards. Brain sciences inform ML (In fact, ML techniques are often coined after the biological counterpart). A result or finding in ML does not necessarily, or at all, imply anything for neuroscience.

Artificial neural networks do not teach us about biological neural networks, or 'Neuronal Networks', a term reluctantly used by a close neuroscientist for contradistinction. We don't need Google's cat research, but Hubel and Wiesel's cat research.

Let's see: Cheap reference to Kant, check. Vague parallel to the Sapir-Whorf hypothesis, check.

The 'intriguing' mapping that involves 3 ML terms is desperate.

This article appearing on the front page of HN shows how delusional some of today's ML lovers are with respect to neuroscience, the discipline that actually studies human brains.
I sent an email to ask. It is curious and suspicious.
Rhetorical: what made Pinkberry so special that it became a long-line craze in California?

Pinkberry was just frozen yogurt, right?

What makes Shake Shack special, such that it inspired a craze in NYC? What differentiates it from the 37 other semi-premium burger joints that have boomed in the last decade, like Five Guys.

Here's the answer: they're not all that special. They're providing a quality service, and people get bored of the same-old same-old Starbucks & Co. or typical fast-food burger (even the nicer ones).

These are massive physical industries. The physical services world doesn't lend itself to the easy monopolization that you see in software / Internet. Meaning, there is a lot of space for other competitors. Starbucks owns 25%-30% of their segment depending on which metrics you use, after all of these years and their vast success. Dunkin has another ~15% or so. I'd say 60% of the market is available to be fought over (much like in burgers, start-ups can absolutely steal back share from Starbucks).

Companies like Shake Shack, Blue Bottle, Pinkberry, and a zillion others, also play to the human desire to find new, trendy things to experience; the desire to not do what everyone else is doing; to seek out a different culture, or simply a slightly different tasting cup of coffee. That desire is perpetual, it will never cease, and that will also constantly break down dominant players over time (eg: McDonald's is rotting).
I'm yet to figure out which is better to use since we're only experimenting with Docker for dev, but it seems like having a volume based container makes versioning and getting people up to speed easier (we can commit a base data container image for people to work with).

I use shared directories though as well for cross compile environments and for dev work to redeploy apps without rebuilding the container.
WHAT MATTERS IS HOW YOU SEE YOURSELF
Untouched cave in South Dakota to provide clues to history
.git/info/grafts allows creating cycles without having to break sha-1.
Erm... you can "rent" it from TSMC, you could before AWS existed, and in fact some of Apple chips are manufactured by TSMC (http://en.wikipedia.org/wiki/Apple_system_on_a_chip#Apple_A8...)

Now "an idea for something great in CPU design" is unlikely to result in a marketable chip these days, but chip startups exist, and some are very small. Adapteva for instance is a 5-people company.
Shamus Young's stuff is pretty incredible. Not the programs themselves, because it's "been done before." Rather, it's his writing skill that really shines. He has a true talent for describing and illustrating difficult or complex programming, and then showing it in action in a nicely-wrapped binary executable. You can see all of his wonderful series here: http://www.shamusyoung.com/twentysidedtale/?page_id=16458
Nguyen claims that the renaissance in neural networks will provide us with concepts to understand the human brain in an analogous way to how the steam engine allowed us to conceive of entropy.

I'm not convinced it goes in that direction yet, though. Neural networks are loosely biologically inspired to begin with, and the idea of the primate visual system as a deep feedforward network predates the recent machine learning advances by many years.

If that's true, it undermines his entire thesis. What's missing: how a concept in machine learning allowed us to conceptualize something new in neuroscience, rather than just describe a process we have a vague intuition for (still obviously useful).

FWIW, and I'm a little biased here, I would argue that it's (high-level,vague) concepts in neuroscience that have been driving machine learning. There are ways we behave and learn that we've been trying to emulate in machines. Someday it will swing back the other way, but not yet.
The data seems to disagree on this point. A 10% rise in the price of gasoline, for instance, will cut consumption overnight by 2%, rising to 5% over the next 5 years or so as people make longer term adjustments.

There are a surprising amount of substitutions people can (and, as measured, do) make to their habits when the prices go up. Overnight they may consolidate trips, drive the more efficient car they already own, or just not make a marginal trip at all. Over 5 years they may consider buying a more efficient car, or living closer to work, or any of a large number of possible solutions that you only think about when the price is affecting you directly.

People do change their habits in response to price signals. The trick is actually raising the prices (eg via taxes on environmentally bad things). After that you don't really need to do much convincing.
Thanks for what you do STL (For those that don't know, Stephan maintains Microsofts C++ standard library). Even though I don't develop against MSVC at all, improving the state of C++ at Microsoft makes life easier for all of us in terms of portability and bringing nice new things in to common use.

Thank you also for maintaining your GCC distro for Windows[0] and the the many great presentations you have given at CppCon, Channel 9, Going Native etc.

[0] http://nuwen.net/mingw.html
Nothing per se. I was confused in that both Adacore and FSF offer a compiler with the same name but different licensing.

As to my specific situation, I cannot release source code and so the Adacore GPL licensed product is a no-go.
There are very few circumstances wherein someone could be considered solely a victim, with no culpability for their circumstance at all. To categorize circumstances like student loan default in to these buckets -- sole victim vs sole culpability -- is to create a false dichotomy. Not saying you are, but arguments like these tend to polarize to these two endpoints quickly.

At one point in my career, I worked for a bankruptcy trustee. During that time, I learned some very valuable lessons about creditors and the importance of bankruptcy/default on lending practices. If a lender knows that a debt cannot be defaulted upon and absolved through bankruptcy, their risks are substantially mitigated. They're not eliminated, but again, this about understanding the scales of risk and fault as it relates to credit.

Outside of student loans, most credit is obtained through a process that involves the lending institution weighing the risk that the debtor will be unable to pay. The ultimate risk being that the debtor will file bankruptcy, and the creditor will take a serious haircut on their principal.

With student loans, our policy is guided by the principal that higher education is of monumental importance. Rather than simply make universities part of our public education system -- because government = bad, amirite? -- a set of policies and law making resulted in a system of federally sanctioned/backed lending institutions which were granted special status within the context of the creditor/debtor relationship. Over time, these special affordances have been extended to private lenders who adhere to regulations.

And here we are today. Capital has identified this loophole and is leveraging student debtors' future in ways that is clearly predatory. With no risk of bankruptcy, student loan creditors are empowered to garnish wages at rates up to 25%. What lender wouldn't take that deal? How much would you loan someone if you knew you could take a quarter of their paycheck every week for the rest of their life?

Clearly the debtor holds responsibility to use credit responsibly, but you can't create circumstances like the ones we have today and fall back to "Well, everyone really should just be more responsible." No, we all hold responsibility for the system that we've created, and until it changes, things will only get worse.
D3-extended
You solution is much worse than libraries. You are proposing just dirty copy-pasting code snippets instead of use of libraries.

Better solution? Use smaller libraries. If you don't need full fledged framework with MVC, ajax, canvas support and whatever else - just go to NPM or Github amd find some small specialized library.
Watch man playing guitar while undergoing brain surgery
Could someone explain like I'm 5 how this works?

Is it just standard public/private key?
You don't. You put in the hours, but realistically beyond the first week at that kind of schedule, most people are so unproductive that they're just fooling themselves if they think it's helping.

I've worked with many devs who think they can work those kind of schedules and be productive the whole time, but I've yet to work with one that actually was.

On the other hand, I've had to send people working for me home after getting pressured into having people work long hours to finish a project and having people snap or become so unproductive that it was a net drain on the team.

Mostly when people do crazy schedules and think it works they have lots of downtime they simply aren't paying attention to, e.g. drawn out morning rituals before they do any actual work; lots of breaks. And they'll simply just slow down and make more mistakes.

It looks like it "works" because people seem busy the entire time, and seem exhausted at the end of it, but being busy and feeling exhausted is not an indicator of being productive.
BAPCPA extended the student loan bankruptcy exclusion to private lenders. Federal student loans were not dischargeable in bankruptcy prior to 2005.
and btw - libraries are not only comfortable to use but also are soo much more readable than copy-pasted code...
yes, i'd like to hear that as well
Cheaper in terms of developer hours generally. No source, just my own opinion.
Yup, got it. Was just wondering if there was a hosted example somewhere. But maybe I'm the only person who is that lazy?

Either way, looks great so far. CoffeeScript is still my fave.
An interesting discussion could revolve around what happens if you (Patrick) give up your lucrative consulting practice to start a company? If the company doesn't work out for some reason and if that process takes many years then how easy is it to get back into consulting and to build a book of business and referrals again?
Poking a phone battery with a knife results in explosion
I'm also scratching my head, Advertising and ?
- Youtube, Gmail - really just advertising
- Android - is it a cash cow, there's some lic fees I guess but not huge
- Google Apps - is that big money?
Agreed. I stayed at my first job for 6.5 years, and only saw my salary go from $54K fresh out of college to $67K. Granted, a few years of that were during the 2008 financial crisis, but this was at a major investment bank, which to me felt absolutely ridiculous. Also, agreed on the not getting complacent. Companies/recruiters love to tell you that they want someone who sticks around and doesn't job hop, but they tend not to provide you with incentives(i.e. steady growth in pay, extra vacation time, etc.) at a rate that could be gotten by switching companies.
I agree with <tomnipotent> about being able to update the server independently of the app. That's a good reason right there (the app requires network connectivity for email, after all).

Another reason is specific to this use: Amazon distributes a Linux command line tool called KindleGen that converts HTML to .mobi formats. You could install KindleGen on a Linode box in seconds and have a proof-of-concept converter running in hours.

I suppose you could reimplement KindleGen yourself for iOS if you had unlimited free time, but it likely wasn't worth it for this particular project. Just look at the release notes for a single version of KindleGen:

-) Enabled support for JP vertical rendering and multiple page writing modes (L to R, R to L)

-) Enabled support for facing pages (left or right)

-) Enabled support for double page spreads

-) Enabled properties to support spine for fixed format content

-) Added KF8 and M7 file size stats that will be displayed after conversion

-) Added Mobi7 support for HTML tags with multiple classes (e.g., class="class1 class2 class3")

-) Data URI support for images and embedded fonts so that they can be referred directly in HTML and CSS files

-) Multiple bug fixes and enhancements.

And remember the author of the linked article wrote that the purpose of the app was to "experiment with various revenue models on the App Store..."
You're welcome! And even if you don't use VC's STL, hopefully make_unique and the other things I've designed will be helpful.
_inconvenient_ cannot be stressed enough
It incentivizes the government to organize university education so that the students get the most actual value that the industry pays for.
The American system is fairly broken, true. But it's important to remember that the vast majority of people (a number around 90%) who go to university (even expensive private ones) here in the U.S. manage to navigate this system and go on to productive, non-bankrupt lives after graduation.

It would be better if it was 100% of course, but it's not like most people leave school and have to fight a desperate battle against debtors. For most people it's just a temporary drag on their income that gets paid off relatively quickly if they earn enough to pay over the minimum.

The reason it sort of quasi-works in the U.S., but seems inconceivable in Europe, is likely the differences in the labor markets. In general the U.S. doesn't have the same kinds of problems (or as severe) with youth employment and underemployment. For example, during normal economic periods, youth unemployment in the U.S. is around 13-15%, during the recession we considered it to be a major crisis when it went to 20%. By contrast the EU youth employment rates (not unemployment) sits at around 30% (with Germany being a notable exception at ~8%).

Furthermore, it's generally considered acceptable in the U.S. to job-hop for higher salaries every year or two, meaning that your earning potential 5 and 10 years out of college will be much higher than directly after graduation, further improving your ability to pay your loan off.

In other words, it's more possible in the U.S. to take on loans for education, and have a reasonable expectation of graduating out of college into a full-time job, where you can further expect to have increased your earning ability and thus pay the loans off.
I don't think there is any confusion here. Of course ZF set theory can express this weaker notion. But in ZF these different functions have different domains and ranges A, A mod r, B, B mod r, where r is the equivalence relation.

In my experience it is type theory which introduces A LOT of confusion. Like the above confused comment.
Patent troll wins a big Supreme Court verdict against Cisco
By default, std::allocator just wraps new, so it doesn't make things any harder to measure. vector isn't "allocating extra space" for no reason - its capacity grows geometrically in order to provide amortized O(1) push_back. If you use reserve() incorrectly, you can actually trigger quadratic complexity (as I've done in the past when I didn't know any better). Even with unused capacity, vector is quite space-efficient. For example, with GCC's 2x growth, on average a vector will be using 33% extra space (that's 0.5/1.5). With VC's 1.5x growth, on average a vector will be using 20% extra space (that's 0.25/1.25). That's a pretty small cost to pay for vector's optimal locality. And in practice, many containers will actually be exactly-sized (range construction and copy construction will produce exact sizing), so the overhead is even lower.
> Flux attempts to be reactive by making Stores listen to Dispatcher events, and Controller-Views listen to Store events. However, the centralized Dispatcher is imperatively controlled by Actions, rather than taking the responsibility to observe Actions.

This can definitely be disorienting since by default you use imperative APIs to create the actions, and then switch to working with events and subscribers from the dispatcher up until the re-render. I've not had too much difficulty with this, at least after some initial confusion.

> Flux dictates that inter-model dependency should live in the Dispatcher, but in MVI, those dependencies are defined inside each Model.

Maybe this should be edited. Flux stores are the analog of models, and each store can define which other stores have to finish updating before it responds to a given action (in that big case statement where it registers with the dispatcher).

The arguments for RxJS, testable view functions, and avoiding internal component state are important. The dispatcher being a singleton doesn't seem to affect much in practice, since that code is never really touched. Looks like performance could be better with virtual-dom but I'd be interested to see the different optimization strategies for each architecture and how they affect performance. Some of my own notes about optimizing React/Flux are here if you're curious: http://guscost.com/2015/05/27/react-js-and-flux-ideas-for-pr...

Also I think that reusable components is a really nice feature and I would encourage you to continue working on including this functionality. All in all a very nice piece, thanks for writing it up.
Polygons are for the weak.

https://www.shadertoy.com/view/XsBSRG

(There are several awesome-looking procedural cities on ShaderToy. Here's another nice one: https://www.shadertoy.com/view/MdXGW2)
Reflecting on Yahoo's Q2 2015 progress report on product prioritisation
Valid objection. I am entirely sure that the archaeologists were fully aware of the history of the area in which they are doing their excavations, and that they meant that this is a new concrete piece of evidence filling in some of the dotted lines. The issue I have with the article is that it plays into the so-overly-simplified-as-to-be-incorrect view of world history that is mostly taught to the general populace.

I'm sure that this quote was cherry-picked, but it reads like this is a discovery of some previously unknown revelation:

> “Ethiopia is a mysterious place steeped in legend, but nobody knows very much about it,” said Schofield. “We know from the later Aksumite period – the fourth and fifth centuries, when they adopted Christianity – that they were trading very intensely with Rome. But our finds are from much earlier. So it shows that extraordinarily precious things were travelling from the Roman Empire through this region centuries before.”