skysight-inc/HackerNews huggingface dataset:
My worst interview went as follows:

-I was contacted by a company that found my resume and decided I was a "great fit" to an opportunity they had. They described a great, technically rewarding position.

-3 phone interviews and approximately 1 month later, I go to the in-person interview.

-HR guy says to me when I get to their offices that the original job is unavailable and asks if I'd like to interview for a much less desirable junior position. Also, by the way, I will be interviewed by completely different people and given different questions.

-Against my better judgement I stay there and go through 3 hours of whiteboard type questions (stuff like "implement atoi" -- I consider this legitimate, but I don't need to do 5 or 6 of them) with 3 sets of 2-4 people. It began at 11 and by the end I was pretty tired. HR guy came in and asked how I was doing around 1, told me it was pizza day (for everybody else), then left me alone for 15 minutes before some more questions.

-They say they'll call within the next 24 hours with an answer. 2 days later I get a call saying that they didn't think I'd be a good fit because I didn't seem enthusiastic. I was not enthusiastic because by the end I did not want the job.

During the same period I got offers from the other companies I applied to and took a job superior to the one available at the evil company. No way am I sitting through that sort of thing again!

I recommend people walk away when this BS happens. It's not worth it.
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Teachers would instead recommend books they feel are good to use to pass their course

They do this now. They recommend (require in fact) their OWN books.
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I think it still depends which school do you belong, Bayesian or frequentists. A real frequntist may not assign a probability to a single instance of society! he is either an engineer or not!
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I'm not sure how this is implemented, but I can imagine a case in which this would work out.

First, let's assume the data is encrypted with some strong encryption algorithm and similarly strong encryption key. This provides some security, but a lot less than you might think. Because data is being stored locally for a potential attacker, it is very easy for them (hypothetically) to make a large number of copies of that data and then distribute it for brute-forcing. This dramatically decreases the amount of time it would take to crack the encryption, even by brute force. [1]

However, this assumes that they have the entire data at their disposal. In a torrent, you oftentimes only have chunks (say 1 MB each), and everyone doesn't download the entire torrent. So someone may only have a few megabytes worth of data. Still that's potentially enough data to contain sensitive information, even a few pictures.

However, now let's assume that the data is scrambled. This means that the data is divided into 1 MB chunks of data that are not necessarily contiguous. So a 1 GB torrent would have 1000 chunks of 1 MB each, but each chunk of size 1 MB would have data from various parts of the torrent. The scrambling mechanism could be randomized and sent (securely) to the second party so that they are the only ones able to fit the pieces of data together correctly.

The protocol could enforce that individuals cannot host more than _____ chunks/MB of the same file, or even that a file has to be distributed among IP addresses from different IP blocks (allocated geographically), thus reducing the chance that a single attacker has access to large parts of the same file. It does not rule out the possibility of a coordinated attack over a large geographic region, but it reduces the risk, and it would probably suffice for most use cases.

Heck, people send public Dropbox links over plaintext, so it's not like we're talking about people who place a high value on security anyway (or, at least, people who think that their data is valuable enough to be worth the effort to crack).

[1] There's a nice website that illustrates the advantage of having local copies of the encrypted data, but I can't find it now. It was basically a password strength-checking website that tells you how long it would take to crack your password by various methods.
Hnet - an experimental decentralized and anonymous database
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Whether he's getting paid or not is immaterial.

If he finds sufficient reason to generate content, and that content competes with that produced by the RIAA, he's creating a competitive threat.

It's tough to compete with free.

That's precisely what Google does with its services in competing against Microsoft, because Google's revenue stream (ad sales) is unlinked from Microsoft's (OEM / site / direct software sales).
For the business market, the most important Google+ feature for Apps has to be the ability to limit Google+ sharing to within your domain. The weird thing is that they allow this for Google Docs for Apps, so it must be some sort of oversight that they haven't done this yet (or must be more complicated than it appears).

Once they do this, Google+ for Apps will really finally launch. It will be an extremely strong competitor to Salesforce.com Chatter, Yammer, Asana, and things of that nature, especially if they nail the API.

Among other things:

1) You can do very interesting things with email analytics in terms of discerning the real social network within a business. Gmail's auto-complete already uses a lot of these features to determine which address to show you on each keystroke. They incorporate time into the autocomplete ranking algorithm, as someone you've recently been emailing a lot will always bubble up. Email frequency would be an incredibly strong signal for ranking within a Google+ Apps News Feed.

2) If they nail the API, there's a ton of integration that can be done. Lots of business apps will be built around the Google+ for Apps API. Some basic ideas:

a) Index Gmail and Google Docs to build an internal "person search". That is, type in a keyword like "foo" and you'll find the rank-ordered list of people within your organization that are an expert on foo, whether it be an function name, a client, a project, etc.

b) Seriously buff up Gmail group chat to get a Campfire competitor, with much more persistent group chat history, and far easier collaboration on docs, spreadsheets, etc.

Done right, Google+ for Apps would actually be the final assault on Microsoft's kingdom rather than Facebook's. It would allow new kinds of features that Office would struggle to match.
I'd suggest that you probably got downvoted for saying things like "This is just false ... There is actually no benefit to explain why ...". Most of your responses provided very little information other than to disagree with the post you replied to.

Technical corrections can add a lot of value, but that kind of attitude overshadows any useful value you might have added to the discussion, and it makes it look like you don't intend to add any value at all. Effectively, it made your entire post look like a verbose "Nuh-uh!".
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How are you "checking what a webapp does"?

You're using the browser or WireShark almost guaranteedly. You can continue to use the same methods with SPDY or compressed/proxied SPDY.
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Python 2.7 is experimental and requires migrating to the new datastore (high replication) which is a lot more expensive. So you might not want to do this if your costs are coming from datastore writes.

Also, high replication queries can return stale results unless you use ancestor queries. Ancestor queries require putting entities in groups by giving them all the same parent (which can never be changed). Basically it's a very inflexible semaphore and kind of sucks IMO.

Your suggestions in general are very good though. Thanks, I'm switching my DNS to CloudFlare now.
This sounds really similar to secret sharing[1]. While not doing exactly the same thing, a simple secret sharing algorithm is also interesting to read about now--it's a different algorithm chunking up and reassembling data in a similar way with different properties.

One difference is that with secret sharing unless you have enough chunks you do not have any information about the result. (That's why it's called secret sharing--you can share a secret with a bunch of people without any of them knowing it unless a minimum number get together.) The neat trick is that any subset of the chunks big enough will get you all of the information.

[1]: http://en.wikipedia.org/wiki/Shamir%27s_Secret_Sharing

In fact, the algorithm (at a high level) is exceptionally simple: encode your data as the coefficients of a polynomial of degree n and transmit it as a bunch of points in the polynomial. You then need n+1 points to recover the polynomial, but which particular points you have does not matter.

What I love about this algorithm is that it is useful, nontrivial and can be explained in a single sentence (by a better writer than I :)).
Would Zappos count?
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Also, what does coffee have to do with bike maps? It looks like your app finds the nearest coffee place, by the first 2 images on your website.
What an insulting and belittling post. As others have pointed out, the Pascal's triangle problem is dependent on intuition regarding the characteristics of the triangle that happen to be the most useful for solving the problem (in this case, that the sides consist of 1s). Moreover, the statement "Good programmers write code. They don't just mash keys and wait for a compiler to tell them what to fix." is ridiculous: not only are you discounting a very useful way to refactor code (change stuff and let the error messages guide you), but every programmer also makes stupid mistakes, and I don't consider that a measure of programmer quality. Maybe 10% of the quality of a programmer is his or her ability to avoid stupid mistakes in the first place; the other 90% that represents real business value is the ability to understand and diagnose mistakes when they do make them.
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that's how it looks for me http://i.imgur.com/edS1S.png
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Kiva isn't a good counter-example -- the reason they're "changing the world" isn't because they're doing banking as usual with good foresight into where the current customers want to go next; they've turned normal banking practice on its head (both in the source of the capital, in who borrows it, and how much they borrow), and that's precisely why they're important.

Though personally, I won't even argue that a startup needs to be "world-changing" to change the world. For example, a startup that simply makes it easier to get bottled water delivered directly homes in such a way that soon a huge population is drinking only bottled water...

...and no one (immediately) needs to fund the incredible environmental cost of trucking water everywhere to everyone even though they already have perfectly safe, good-tasting water available from their tap...

...so yes, that changes the world.

This is why I personally found this article depressing (for @#$%s sake, why not sell people water purifiers if they don't like the taste of their tap water??)

Every business changes the world -- mostly in a small way, though that's nothing to be ashamed of. Some in a big way. But all of them in some way.

It's really, really worth putting at least 10 minutes thought into whether your startup, especially if it's gloriously successful, will make the world a generally better place (even if just "people generally doing good things will have an easier time of it"), or will it make the world a generally worse place ("we found a way to stop people from returning merchandise they don't want", or maybe "we make wasting time more addictive").

The OP doesn't even seem to consider putting 10 seconds into this aspect of choosing a business -- into which you'll invest many years of your life. Ugh.
My ignorance. Thank you.
My AI professor had a great explanation for this:

* lottery B = $900
* lottery A = 0.9 chance of $1000 and 0.1 chance of 0 + feeling stupid.
Oh you actually missed a step...

Make candidate do a take-home assignment that requires a day of work.
Is it rational to considers unknown possibilities and assigns gain to them and then decide, and if so what would be the numbers?
Speaking for myself, I down-voted because of the absurd false dichotomy of comparing Google App Engine to $2/month shared PHP hosting! It's like complaining that an oil tanker costs more than a rowboat.

The value proposition of App Engine is that with no systems administration expertise you can rent an extremely reliable, massively scalable web platform that is managed around the clock by a world class devops teams. Unsurprisingly this costs money. If you don't need the reliability or scalability of App Engine, no one is forcing you to pay for it. But it's absurd to suggest that you can get anything remotely comparable in PHP for $2/month.
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By rescaling the numbers, the two questions can be turned into:

- "Would you pay $900 for a 90% chance to win $1000?"

- "Would you pay $100 for a 10% chance to win $1000?"

So the distribution of results really is different. It's not just a phrasing trick. I would still say no to the first and yes to the second. I like positive outliers more than negative ones. This doesn't seem irrational to me.
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I actually had an interview where I not only had to code the solution on the whiteboard but the developers then gave me parameters that they wanted passed in and I had to execute the function in my mind and give the correct output of the function.
As you can do with pirater. You can also set a time limit, a combination of both, remind the user again, or give them one change only. AppiRater is very flexible, not sure what iRate offers over that.
Is that more of a "who cares, I'm in Australia now", or will the Aust. Tax Office support the US IRA by disallowing deductions?
Your site design for iOS vanishes. There's a brief flash of a colored background and then no styling at all.

You need to list pricing info.

Another concern that you need to address is photo quality. Facebook really chews up photos that are uploaded. I'm a photographer and despise what they do to high quality images. I only upload for friends to view and it irks me they'll never see images in their true form.
My suggestion would be to turn off billing. That's what I did when the price went up on an app I had running and I didn't want to deal with deleting the data.
So far my investigations have led me to a few interesting companies using Netsuite, specifically Groupon, Sixapart, Gawker and Atlassian. Still investigating :-)
As someone who has had lots of economics/probability training, this quiz really doesn't do the research justice. It gets a point across, but could have been presented better. I was bothered by its misuse of terminology and the quiz not really being one.

Spoilers ahead!

1. The answer could be A or C, depending on how small and large the hospitals are. The small hospital could easily be expected to have < 5% more variance (depending on definition of "small" and what 5% of each other means) depending on its and the large one's size.

2. I don't see why the correct response must be 30%. Such attributes conditionally describe an engineer better than a lawyer. Assuming random sampling of lawyers and engineers, I'd be surprised if the answer isn't > 30%. I'm not sure what the numbers are actually, as I don't know how strong this conditional applies to engineers or lawyers.

The point of the research is that people over-emphasize the conditional over the prior (indeed often ignore the prior), not that people should not use conditional information.

3. " it is likely that your answer to question (a) is positively correlated to your answer to question (b)"

I understand what they are trying to say, but the wording is quite off. Correlation is a property of data, not an individual point. If I'm the only person who ever takes this test, my answers have undefined correlation. The modifier "likely" is especially baffling (correlation is a constant property of data).

Proper (and less verbose!) terminology is "people's answers to (a) are positively correlated to (b)"
Let's see what's hype and what has substance when iTV hits the market with a voice-controllable interface that spans the full set of functions from setting volume through searching the web and more.

Since the iPod, every Apple device has in some way primed the consumer market for what is to come. Voice control for phones has been around for ages, it's never been good but it has been around. Kind of like touch interfaces really... Anyone here ever own a K-jam/Jas-Jam or any similar devices of that generation? The iPhone represents touch done right.

What came next?

A revolution in, not only smart phones but also the long forgotten tablet!

Siri on the 4S represents voice control done right, next move is to sneak it into another device now that people know and love it.

In touch what Apple removed was the stylus, you have a pointing device(s) built into your body-why the need for an auxiliary device?

It makes a lot of sense on a TV. No lost remotes, no need to locate an auxiliary device when you have a controller built in: your voice.
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I've started reading 'Thinking, Fast and Slow' and really like it so far. If anyone in the Bay area wants it after I'm done let me know.
One of the reasons certain things 'cost' so much to make is because when they are made they are worth so much. Without copyright these thing surely wouldn't make as much money as they now do, so to take your example of a movie, actors would therefore not be paid as much and so on down the line.

So I think the question is should so much money be made from some of these things?

Should for example actors and sports players be insanely rich while teachers and other public servants make so little?
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Part of the problem with these job ads is that the writer is trying to communicate their level of passion and excitement about the position and how they feel that the person they hire will have an impact (at least on the organization). Instead it often comes off sounding corny at best and arrogant at worst.

Ideally, job ads would have some or all of the following traits:

- very up front on their hiring process (phone, in-person, project, etc.)

- recognize the difference between skills needed for 90% of the work vs those needed for the other 10% (tends to follow along the required vs "bonus" or "nice to have" skills)

- instead of saying "we're changing the world" they say something more realistic like "we're making enterprise SaaS analytics better"

- recognize that devs appreciate having a good plan for product development (and some tools/processes behind it) over snacks, soda and pizza

- tell me the types of tasks I'll have to deal with on a day to day basis

- tell me how they expect this position to grow or change (if even at a high level, i.e. do they have a plan for this person)

Basically, the more "real" they are tells me how self-aware they are and how serious of a candidate they're looking for. That sells me way more than the bullshit perks.
On a current Linux system, you can monitor several of the items you mention using "perf".
Once upon a time, before "p2p" was even a term and when Napster ruled the rose, there was a system called Mojo Nation. It was a distributed storage system that broke a file into distinct pieces identified by a hash and then spread those pieces out to peer nodes that would return them when asked and the map of what pieces were needed to rebuild the file was stored in a service called a tracker, which existed as public services and which you could run yourself for private files. To incentivise people to keep their agent running and serving disk space you would get credits for serving data chunks or acting as a relay node (NAT traversal was still in its infancy and so other peers would act as supernodes to forward traffic for you.) This system used what was called "Paris Metro Pricing" which basically means you could spend your credits to move to the front of the line when it came time to pull data. It was complicated. Strong crypto end-to-end, stacking relay nodes enabled you to do Tor-like onion routing, centralized servers that would provide a persistent backing store for the peer storage when there was not a sufficient critical mass of peers for a part of the storage grid, etc. A real hairball of complexity that wheezed and groaned but somehow managed to deliver bits.

"But people just want to share music and movies." said one engineer. "All of this complexity is silly. Let's cut out the persistence and make it easy for someone to just share a file." And he was right. "No." said the people running the company, "that would end up getting us sued into oblivion." After seeing what happened to others in the space at the time it appears they were right too.

So our diligent engineer took an axe to the open source code. He stripped out the crypto, streamlined the payments to eliminate a central broker and just operate between two peers (e.g. tit for tat) and eliminated the persistence. Each "file" became its own distinct peer network. He created a true MVP for the system before anyone knew what that term meant. He called the system BitTorrent.

And now we just need to add back the crypto and the circle will be complete...

[The unfortunate reality is that the math just does not work out. It works well for ephemeral, popular data where you can maintain the peer grid, but not for a lot of files that have only a small set of peers that are interested in any particulare file. We are not talking about long-tail torrents with a few people who might be downloading at any particular time; you and your family might have a short-term interest in video's of juniors little league game but after a few weeks no one will continue to participate in that particular peer group nor are they likely to rejoin, but the service must still maintain the backing store.

Perhaps this makes sense as a pivot to try to re-capture a large set of peers for some other, more valuable, distribution service, but I honestly don't see this particular product going very far.]