skysight-inc/HackerNews huggingface dataset:
Note that Rackspace cloud (not sure about their managed services) do not include free bandwidth. It can be a killer if you rely on Linode's bundled bandwidth.

I migrated to Rackspace cloud, due to the Slicehost acquisition and the first month bill was hard to swallow.
I suppose that's sometimes true. However, some people in certain situations might receive unsolicited job offers, without ever even creating a resume or submitting an application, right?

The point I was trying to make is that, I'd encourage young people to follow-up after sending out a resume. It will help you gain 'chops' for future calling/prospecting that may be required. Also, it's professional to follow-up with a phone call after sending an email to someone you've never met or spoken to before.

I get a lot of unsolicited resumes sent my way. Hardly anyone ever calls to follow-up. My thought is, I'm a busy person, and if the person really truly wants to work with me, they won't give up. I want to see persistence.

I bet that Amazon, Google, Facebook and Microsoft all have very well-thought-out recruiting programs. I'd imagine that young college grad's could be hired for a lower salary than older, more seasoned software engineers. Those large companies are probably more flexible with young recruits. Everything in life is a trade-off. Why would those companies "shower" kids fresh out of college with job offers? I'd venture to guess that they are interested in hiring them because it's cheaper than hiring someone else with more experience. Or maybe that's how it is in the software job market. But as I see so many Americans out of work, expecting someone to 'create jobs' for them, I think it's important to highlight what it takes to get a job that you want. I'd consider your example of software engineers being "showered with job offers" as an exception to the rule. Most people have to actively pursue what they want in life. Plus, in 25 years you don't want to be one of those people on TV begging the government to 'create jobs' for you! So my advice is to learn how to get what you want by asking.
We recently provisioned a new 32GB server from Hetzer. The server was delivered with only one of the two raid1 drives working. When I complained they said it would take a few hours to replace and then it was up to me to figure out how to rebuild the 2nd drive as part of the array. All I expected was a working server from the start, anything that went wrong after that I would have been happy to resolve myself. Very poor service, we've already moved to uk2.net. Also don't forget that Hetzner uses desktop class hardware in most of their servers.
Oh yeah, that kills them pretty fast. I've had the same experience with my backup cellphone and mp3 player, had to buy new batteries.
Super-obvious answer here, but if you only have one of something you can't upgrade things, reboot, etc., without downtime, and you have a single point of failure if things go wrong. Having N+1 of each component, ideally with automated failover, makes a huge difference to how easy it is to maintain your system. You'll also enjoy life more when you can wait until the morning to fix something falling over in the middle of the night.
Of course society can heal, 'm just saying it's possible to get a badly incentivized society to crash itself and it won't be easy to fix the setup given the negative momentum.

10000. They reproduced between 25 and 35. You could tune the birth rate but it was constant for the simulation. People lived for 80 years. This kind of setup gave you a temporary boost and then a surprisingly hard landing.
I'm looking to start following more users who constantly unearth great content and things to read, I'm finding that the Twitter suggestions are good in terms of similar industry/skills but many don't tweet often or share links
Why do you want servers? Are you building a server centric product? Why not use a PaaS like Heroku and some monitoring tools? Then you've got your scaling, your deployment, your security and log aggregation solved -- and you don't have to wear a pager while you sleep.

Each app and service is different, more info about what yours does and it's known bottlenecks would greatly influence answers.
I've been using TweetNest (http://pongsocket.com/tweetnest/) for a while to get an archive of my own tweets and will continue to do so, but it's nice that they're providing an official way. TweetNest, as well as all other tweet archivers, are limited by the 3200 (IIRC) tweet limit in the API, I wonder if they'll be adding support to import from the backup that will presumably have everything.
7M hits/month is 2.6 hits/second. #justsaying

Also, how are 3 Heroku dynos less than $1/month? 2 non-free dynos are $40 right off the bat.
How far does it go back?
This exploit doesn't have anything to do with "crapware", it has to do with a flawed implementation of how the camera accesses the memory.

The code in the Windows kernel is never touched by anyone outside of Microsoft, unlike Android where is it necessary for every OEM to have to modify the kernel just to get Android to run on their device.

To compare Android to Windows Phone or Windows RT, the issue is one of closed source versus open source. Microsoft bakes support for certain SOC into Windows Phones kernel, which is why all Windows Phones have the same specs. The open nature of Android leaves it vulnerable to OEMs screwing things up.
Fun fact: early versions of d3 came out of a project in this class from 2009. I was in this class and d3 (Not called that then) was one of the more impressive projects that came out there. Here's a link to Mike's project description:

https://graphics.stanford.edu/wikis/cs448b-09-winter/FP-Bost...
Why would you want to do that? Then the timeline of everyone that follows you would be spammed with updates.
Bashing is senseless especially considering the state of the country right now. If you need someone to talk to feel free to Gchat me at kyle@nibletz.com if you need more than that lets talk on gchat (you can email me at that address as well) and perhaps we can exchange phone numbers.

I didn't read beyond a few of the responses.

Whether this is a legitimate cry for help or just someone who needs an emotional pick me up to get through how hard startup life can be don't hesitate to contact me

-Kyle
Yeah, Python is good case study for confusion as it has a lot of negative sentences in "ranked low".

I see in this thread that many people complain about it, so I've emailed author with the link to this thread and to Python's page and suggested renaming "Ranked high/low" to "Most people agree/disagree that..." or sth like this.

Otherwise, very nice idea.
> But other schools said, “Um … 100% focused on molecular biology, please. The sheer fact that we’re having this conversation means that you possess communication skills, upon which we frown."

Um, what?

> The campus newspaper had just published a little profile of the stand-up-comedy-performing grad student, and my adviser happened to read it. Over the next 10 minutes, I learned that my hobby was an embarrassment to the department, that there was no way I could properly focus on biology, and that every negative lab result I ever produced was a direct result of telling jokes at night.

What the...? This doesn't sound remotely like my department, or indeed, any department I have ever heard of. Is this a biology thing? At GMU we would have adored that kind of student.

After reading the above two quotes, I got a very strong sense of "there's probably another side to this story". It's so completely alien to my personal experience as a PhD student and later as a professor that I have to wonder if it's really true. And my experience watching other researchers, including, yes, at least one stand-up comic.
Does it mean that if I go pro now, I pay USD 19.99 only during the first year and then USD 29.99 from second year onwards?
Perhaps you're right, but I haven't come across much superficially pretty junk. Any high profile examples come to mind?
Both zeteo and myself are discussing differential birthrates between populations.

If population A (e.g. mormons, people of low conscientiousness) has a birthrate of X, and B (everyone else) has a birthrate of Y, with X > Y, then population A will eventually become the entire population. The eventual birthrate will be X.

Even if both birthrates are reduced by some exogenous factor K (e.g. urbanization, reducing from X -> K x X, Y -> K x Y), this fact doesn't change.
They're probably using Palantir. I wonder how Thiel resolves his libertarian/freedom philosophy with supplying the government with such a powerful oppressive tool.
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Why would you refuse? If it were so abashedly unscientific it should be easy to manipulate the outcome to achieve your desired type.
I've posted some rules that I use as an example:

https://github.com/benjaminoakes/maid-example

I hope it helps!

Ben
Here's my theory. When I was learning programming early on, then later on with specific languages, almost all the problems I'd run in to were "solved problems" - I just didn't know the answers. With enough searching, testing, querying, asking, I'd generally find the 'right' way to do X, and move on.

I've grown more conservative over time, but other people tend to continue to operate with the idea that with enough searching/testing/querying, there will always be 'the' answer which will solve all their issues. Not picking on node specifically, but choosing that a year ago or so as the platform to write a production system in seems hopelessly naive. I suspect that some of the people involved had this unconscious idea that, with enough work, the 'right' answer would magically appear, and they'd move on to the next problem. Turns out that's not what happens when choosing bleeding edge tech, but I'm not sure it's a lesson everyone learns (and I suspect it's a maxim not everyone really cares about anyway).
More people means more goods/services sold at a higher quantity and price.

Can you explain why more people causes price to go up?

Quantity will certainly go up, but only in proportion to population, thus having no net effect on GDP per capita.
I think "dreadful" is really harsh. Every site should not look like default bootstrap. That would be incredibly boring.

But, that said, I think it would have been better without everything between the font change and the color scheme change removed. For example, the icon is an additional unnecessary visual element- either use text or an icon- if you have both it means that one or the other is insufficient on their own and that is a bad design smell -> simplify! Textures are ok, but a bad example- the only change I could tell was the missing horizontal rules/grey lines. The alpine background- meh, even for a ski lodge- this isn't a cheesy blog. The CSS change I could barely tell.
Building Great APIs (part IV): Great Developer Support
Good reference: For most things in econometrics, the publicly available lecture notes by Jeff Wooldridge and Guido Imbens are excellent. I don't recall their GMM notes specifically, but that'd be a good place to start (just google for it).

Super-quick explanation:
Write down a model, and a bunch of conditions that should be true at the correct parameter values.

As a trivial example, the conditions might be that the errors/residuals are orthogonal to the explanatory variables. Put mathematically, the expected value of

X*epsilon=0

where X is the matrix of explanatory data, and epsilon is your vector of errors. Since the errors are a function of the parameters (beta), a can find the optimal parameter values by solving your moment conditions.

You frequently have more conditions than parameters, so the conditions can't all be true at once. Then the computer tries to get the conditions as close to true as possible... where closeness is defined by how you weigh the importance of each individual condition.

Ideally the conditions arise transparently from the model. Executed poorly, it can seem ad-hoc.

A quick google search should gives better explanations than my response in comments :)
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easy workaround; no typing, handsfree
They're not unknown to me...
There actually are limits to physicians per capita. You wouldn't have a functioning economy where everyone was a physician. If the population drops by 10%, demand for physicians drops as well.

For engineers it's a supply side issue--we could productively employ many more engineers than we do, but it would take immense breakthroughs to have a population where everyone could be an engineer. That's what I meant when I said you'd have to selectively cull the unproductive. If you reduce the population, the remaining workers have to be more productive for per capita GDP to rise, and you still haven't shown that this would happen. It doesn't help if you only need 10,000 engineers when you can only produce 0.01 engineers per capita. You'd need this proportion to rise. How does lowering birth rates do this?

In other words--sure, you could probably have a very per-capita rich Galt's Gulch with only 1000 people. But reducing the population arbitrarily to 1000 people will not accomplish this.
Or just glue this on the laptop: http://img.ehowcdn.com/article-new/ehow/images/a07/8f/qt/do-...
Why Westerners Retire in Asia (Infographic)
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Apparently what's true is more important to me than what can be exploited? I don't know, I find that to be kind of a ridiculous question.
Good question. $19.99 forever. We'll make sure that is clear.
Ideally (not that this would ever happen) the third party service (e.g. App.net) would be able to query Twitter as to the veracity of each user's archive (verify an md5 hash or whatever kids use these days) then allow the tweets to be backdated into their system.
One word: volunteering.
"We hired a few node.js core developers (actually, over time we ended up hiring 75% of the core node.js team) — they were incredibly helpful."

This sort of approach won't scale too well when 10 startup companies all need to hire the core node.js (or insert favorite trendy base tech of the day) team.
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Dude what you need is a break from everything - power off your laptop + mobile + tablet + anything electronic. Take a vacation for a month - .....

I am in a bad depression myself even though I am making good money from my startup but due to other personal reasons. I am planning to go to Bali for a month.
They're not asking what thoughtcrimes/sins you've committed, they're asking you directly if you've ever been arrested, which they ~do~ know the circumstances of.
This user tweets a mix of technology and policy related tweets. @in_mohit
Ask HN: What's the best/quickest way to build an analytics page?
We're in the process of trying to build an analytics page that will display some specific information from social data inflow. Things we're interested in are segmentation/funneling, basic line graphs, pie charts, and dashboards. We've done some digging in to D3, but is there any other framework out there that might be helpful? Preferably specific to analytics (as D3 is anything visualization related).
Why I'm worried about a surveillance state? Because the people in charge will have their records protected while everyone else gets the surveillance.

Our president committed crimes his justice department jails people for (illegal drugs). Drug testing is a perfect example of the surveillance state. The people who don't get tested? The testers. The legislators. The people in charge. I know there are technical problems with that analogy - but you get the point.
Show HN: Form validation on the client + server for connect, express, & flatiron
screenshots
step1&2: https://twitter.com/sameerb/status/280365425093644289
Step 3: https://twitter.com/sameerb/status/280365863276793856
Step 4: https://twitter.com/sameerb/status/280366043711557632
Step 5: https://twitter.com/sameerb/status/280366946023784450
> I feel everything is about her, not him, and that's why he's so upset.

Indeed. It seems that the son has an exemption from the uniform policy ("They told me I could wear these" he insisted), the mother has this desire to make the child conform, and is insufficiently introspective to examine her own motivations ("my 13-year old son ... missed his bus because he was wearing the wrong color pants"). Hey, he missed the bus because you made him wear your favorite set of trousers.
Well said.

I think that a lot of entrepreneurs also completely miss the concept of loss aversion. No matter how much pain your potential idea may be solving, some people are simply in love with their current shitty situation.
The Libertarian Party was into Myers-Briggs for a while. The vast majority of libertarians seem to be from the "NT" quadrant (usually INTP or INTJ) - they had stats that were as a group wildly divergent from those of the population at large. The theory was that this explained why the arguments libertarians find compelling don't seem compelling to anybody else. So the goal of the resulting workshops was for people to learn to put their political arguments in ways that would appeal to the other groups.

That sort of thing seems like a better use of Myers-Briggs than in the workplace.
Unknown is relative, but here are some of the rss feeds I'm subscribed too:

http://nosql.mypopescu.com/

http://lambda-the-ultimate.org/

http://eli.thegreenplace.net/

http://www.stefankrause.net/wp/

http://mechanical-sympathy.blogspot.com/

http://www.cowtowncoder.com/blog/blog.html

http://highlyscalable.wordpress.com/

http://hunch.net/

http://perspectives.mvdirona.com/

http://www.scottaaronson.com/blog/

http://www.softwarebyrob.com/

http://blog.mikemccandless.com/
Wow, that's awesome. I've been meaning to look into the origins of D3 because it's one of the things on my current "awesome web tech" list.

I've been really impressed by even my beginner's experience of D3 (eg: http://hospital-tycoon.46bit.com graphs).
I can't really speak to or am very interested in the validity of the assessment, but that is a pretty impressive startup story. Especially for one with two women founders given the context.

I kind of wonder if I sent a child to school to do product research today though if I wouldn't be in some serious trouble.
It's sad that when i'm comparing AWS to Hetzner, I'm always asking what will people say ... Hetzner isn't cloud..Cloud is "in".. Damn it.. I hate that!!!
Indeed, this would also explain why the search function only allows one to view tweets going back seven days.
Not sure if it's unknown but
http://blog.cwa.me.uk/
is pretty good for MS technologies (and sometimes web in general)
https://countermail.com/
"P.S. Maybe this will be a good opportunity for You to quit taking meds You mentioned?"

Suddenly quitting any/all meds for a physical condition without a doctor's advice is probably not the best idea.
Rumor: Leaked Chart Details Desktop Haswell CPU’s Slated For Q2 2013 Release
Yeah, where is Michael's dad in all of this? I would have had the living hell beaten out of me if I had ever called my mom a bitch.
Machine learning is more accurately described (in my view) as an interdisciplinary region that involves computation and statistics both. It's when you have to use statistics to push the bounds of computational work, or CS to tease out statistical relationships that require so much data that the size of the data itself is part of the problem.

When I think of "statistics", I think of problems where there are a few well-studied parametric approaches, in large part because there aren't enough data (in most cases) to do anything extremely complicated. If your data set is small and you need to build a generally adequate model, you can often use linear regression to get something good enough, and that may the best you can do, because model simplicity is often valuable in its own right (low risk of overfitting).

Many of the more non-parametric machine learning algorithms (e.g. neural nets) are computationally intense and often a bitch to debug. They work best in situations where (a) you have a lot of data, but (b) you have no idea what the structure of the relationship should be.

Parametric models perform extremely well when the structure is known. You have inputs X1, X2, X3 and Y, and you know that a linear model will work well. You fit one, and it captures 65% of the variance. Good. That may be enough.

What do you use, however, if 65% isn't good enough, or if there's a special case that becomes economically important. You can look at the residuals. They may be random noise. If they're truly "random", then the linear model is the absolute best you can get. That may not be, however. There might be a region of the X2-X3 space where atypically high Y-values occur for a structural reason. These atypical points may be connected to an X4 that would otherwise be discarded (because it had no general correlation with Y).

I think that machine learning approaches start to be worth their additional complexity in these cases where (a) there are important relationships yet to be discovered-- no one knows about them!-- and (b) those are, or might be, economically critical.
>unlike Android where is it necessary for every OEM to have to modify the kernel just to get Android to run on their device.

I think that will change once Android starts using the linux 3.7 kernel, which is supposed to unify ARM kernels.
well, there are known unknowns and...
But then they can be depressed... AND codependent!
But in some cases, these are just behavior issues, not mental health issues. Indeed, prescribing pharma and telling a kid he's mentally ill might be compounding the behavioral issue.
Fringe energy and "science" type stuff...

http://peswiki.com/index.php/Main_Page

http://pesn.com/

By following the links and discussions, you can get pretty deep into it; down to the published papers in respectable journals and granted patents. But be warned, there are a lot of crack pots that pollute the matters (as expected for this category). So you have to take what's good, and throw away what's bad. But it does give you a different perspective on things.
Most of this is true in a strict sense, and it's disappointing that it is presented in such a judgmental way.

Machine learning typically focuses on prediction. There are lots of business problems where prediction is the #1 goal, and ML is great in these circumstances.

Statistics typically focuses on understanding and summarizing data/findings. This is frequently closer to the needs of scientists.

Accepting that classical statistics has contributed more to science than machine learning doesn't make it better. That's like saying "A pipe-wrench is a better tool than a hammer, just ask any plumber."

The fields have a lot of similarities, but different use cases. Most claims that one is "better" come from a tight focus on specific use cases.
The issue with Hetzner is not the price of the servers. The problem is their connection. The max bandwidth I could get was around 180Mb/s, even though their marketing says 1 Gb/s port. In fact the port is shared.
I have got around 10 servers there and now I am moving away and decided to go with Amazon.
However for a startup with european market it could be a good option.
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The benefits that natural selection causes to propagate are those which improve the organism's reproductive opportunities. Those "benefits" aren't necessarily all that great when you've got a civilization. To take it to a ridiculous extreme, if a gene exists which makes you kill all the other men in your village, then impregnate all the women, that gene will be pretty popular in the next generation.
Knowing, abstractly that there is something wrong with you does not mean that you have the perspective or toolset to fix what is wrong with you.
Potentially dangerous advice when you do not know what pills they are taking.
"Security" here is used in a weird way.

Security is a design feature, not a policy.
How about 'elCaro' ?