skysight-inc/HackerNews huggingface dataset:
On most stock OSes, this will show your password to anyone who views the list of processes on the machine.

Try 'imapsync' [1] instead, as it uses a config file for your credentials instead of command-line arguments, keeping the secret(s) out of the process list.

Also, the author of this blog post is showing his inexperience:

> BaGoMa's output is pretty informative so I send it to log a file in case I ever want to check up on it and make sure the backups are still working.

You won't ever do that (no reason to check the logs when it's working), and it will fail (effectively-silently) one day without you noticing, and then you won't have backups when you actually find that you need them. Don't do it that way.

Instead, use a cronjob wrapper script (e.g. [2]) that is silent on success and outputs on error, so the "cronjob-output-as-email" feature works to notify you when it breaks.

[1] http://imapsync.lamiral.info/

[2] https://github.com/sneak/misc/blob/master/cronify/cronify
https://github.com/jcs/halfmoon
If it's a shared box, you'd still have to hide the --pwd argument from `ps` process listings. You'd have to do something like make a ~/.gmail-pass file with the content "--pwd foobar", and call the script like this:

cat ~/.gmail-pass | xargs python bagoma.py --email=foo@bar
Photo gallery from the Golden Gate National Cemetery, +295 and 57 comments.

Photo gallery from his son's graduation, +135 and 31 comments.

Video (that I posted above), +107 with 17 comments.

Video of "Engagio", +40 with 8 comments.

He has 1,500,000 followers and his best post gets ~300 +1's and ~60 comments, the average post gets ~100 +1s and ~30 comments. The only reason the post about G+ not being a ghost town is popular is because it was spread around the internet (eg: HN) and it's flame bait...

> on an averge day even I will skim through whatever latest thing Scoble has written

And will you actually pay attention to it? Consume the content? If you're not watching the videos he posts or reading his writing you're not engaged. Less than 1,000 people out of 1,500,000 people clicked on his video, they didn't even need to watch it for a view to count, just click on it. How can you claim for one second that he has an engaged audience when less than 0.05% of his audience click his video. I have better engagement than that on Twitter and Facebook and I'm some no-name internet guy.

If the engagement levels for posts are less than 1% I don't think it can be considered active at all. Follower counts are meaningless, I think the majority of "Social Media" sites get it wrong: someone that followed me 4 years ago probably isn't still (actively) following me today, but if follower counts only reflected actively engaged users people like Scoble would cry because it doesn't validate their whole "I'm super popular hire me" shtick.

I've said it before, Scoble is a part of the Mashable type of Social Media, people subscribe that don't really care about what he says they just follow/subscribe because of what he represents: Social Media. They feel that to be relevant in Social Media they have to follow Scoble, just like they have to read Mashable. They don't care about them or engage with their content, they just subscribe so they can say they do. Mashable has 2.6m Twitter followers, tweets an article and gets 6 comments. Worthless.
You might read the article. The code just sets parameters.
Besides PR campaigns, I wonder if another source of hostility to Google+ is a normal human reaction to the fact that social networking, as we currently know it, is a natural monopoly.

A lot of people are in the situation where they're going to have to be on Facebook no matter what (hello lock-in), and they'd really rather not have to be on Google+ at the same time. It'd be all the annoying parts of social networking doubled, plus the hassle of maintaining two copies of a lot of information, with no significant advantages.

I think a lot of people who disparage Google+ would have no major objection if it could quickly take over from Facebook and become the new monopoly. However, by this point it seems unlikely, barring a major event.

A world where social networking services could interoperate, sort of like how we have numerous telephone companies but one global namespace of phone numbers, would be interesting.
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Think Crosswords meets Scrabble meets Angry Birds
Last note: another thing you can do when you have a prior is factor it into your estimator and take the maximum likelihood of the posterior as a point estimate. This is called Maximum a Posteriori (MAP) and called by some people "Bayesian", but I don't think Bayesians agree with that.

The general perspective is that, of course, you'd like to get the fully marginalized, exact posterior probability distribution. However, that's not computationally viable for most problems, so you have to resort to approximations, like MCMC, Variational methods and MAP. I would say that they're all definitely "Bayesian" methods, as long as you're aware of what you're doing, and that you check the quality of your approximation.
> A highly talented programmer will be less productive using COBOL and older tools and technologies, but will not be an order of magnitude less productive.

I'm not sure about that, especially if you replace COBOL with assembly language. Definitely if you replace COBOL with machine code encodings, or punch cards.

Part of the disparity amongst individual programmers can be attributed to tooling, and we have no way of knowing how much that is.

I think we can agree the paper is saying: "Programming is inherently complicated, and we predict that our current tools already reduce complexity almost as much as possible". I just disagree with that prediction, and think our tools currently encompass massive amounts of accidental complexity which easily dwarf the essential complexity.
I think it can be generated with few lines of code using "algorithmic symphonies" by synthesizing sounds with bit wise operators like this:

((1000/((t/12)%(t>>10))&1)35 + (1000/((t/23)%(t>>10))&1)35)

Link to generate (using javascript) and hear the sound above:
http://bit.do/thx-first-try

More sounds created like using those simple equations:
http://js.postbit.com/digital-computer-music-with-bitwise-op...
if messageSigned (msg, nsaPublicKey):
obey
People severely overestimate the volume of nuclear waste produced by a plant. Storing it is more of a political problem than a technical one.
Did Facebook's IPO just kill the tech bubble?
Shit happens with every provider, free or paid; hoping it won't because you pay $400/month for it is foolish. The smart thing is to make sure it doesn't affect you much, by decoupling from the service and turning it into a replaceable commodity as much as possible. That means using your own domain, keeping backups, etc. Then, when shit happens, you can just sign up for another provider and keep going.
I made a similar Greasemonkey user script a while back, and it's been great:

http://coding.pressbin.com/74/Update-on-Greasemonkey-script-...
This Firefox extension does it:

https://addons.mozilla.org/en-US/firefox/addon/link-visitor-...
16GB of ECC RAM costs £150 to buy, how much RAM your webserver threads use should never be an issue.

PHP's advantage is "apt-get install php5", copy your .php files in, and you're done.
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That is an exaggeration. More correct is always >2 million SEK, and usually >2.5 million.
Do all Java, Ruby, and Python frameworks include a discussion of why one should use those languages? Seems to me that when you're evaluating frameworks, the language decision is probably already made.
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Yes.

I lack the background to judge whether this will probably be explained by something relatively boring such as a new resonance particle composed of already known fundamental particles (i.e. a new baryon) or maybe an excited state of an already known particle, or something fundamentally new, like supersymmetry, Higgs or something else. This is why I posed the title as a question.

I find it very interesting though that the paper speaks about excluding the "type II two-Higgs-doublet (2HD) model charged Higgs", but I don't know what "type II" there means. The 2HDM is the simplest way you can extend the Standard Model Higgs field (which is what all the Higgs search buzz is about) in to many beyond the standard model theories, like supersymmetry. At least the apparently quite popular minimal supersymmetric model has a 2HD. But the key question is what's type II, and where's my type I?
No idea why you are being downvoted, your point is a sensible one to make.

Composers have a 'musical imagination' and often write at the keyboard of (typically) a piano. Classical composers sometimes write music that is not 'idiomatic' for a particular instrument; adjustments follow. From the original article it seems as if the composer had a definite idea of what he was after and adjusted things until he got close.

What interests me about the original anecdote is the use of random numbers in the parameters, and the difficulty that the composer had in reproducing a particular 'state' of the sample.
Want to know what a pocket-radio is?
No, CloudPull does not restore directly back to Google. You could do this independently by restoring to Apple Mail, and then importing into Gmail or another IMAP account.
Can't read his post, safari crashes on iPad :)
Thanks for your clarification! I'm not a statistician, I just happen to be surrounded by them :)

My impression is that among the Bayesians I know there is a general negative bias towards MAP, and Variational methods are vastly preferred. However I agree with you that, all being approximations, none of them is intrinsically better than the others.

In particular I don't understand all the hype around Variational Bayes, to me it seems like a "fat MAP", a MAP estimate with a Gaussian around it.
I really liked and easily understood this explanation of Bayes:

http://oscarbonilla.com/2009/05/visualizing-bayes-theorem/
> I am baffled at how people continue using such a service for something as important as e-mail in 2012

It's free and works PERFECTLY 99.9%+ of the time, for 99.9%+ of users. The edge case (being shut off) can be easily worked around by having backups and changing your MX records to some other email provider ifwhen you find yourself without service from Google.

This risk is acceptable when weighed against "worst-case is 24 hours of no email while I switch providers", and even that probably won't happen. If it does happen to you, it's just a small temporary inconvenience with no lasting effect.

"Shit happens, always have regular tested backups (gmail or otherwise)" negates any potential data loss.
I have the wonderful fortune of getting to work with Andy, and spoke with him about this a few years ago. (This story pops up again every two years or so). Shortly after, he let me know he had taken a look at the code for the first time in years and had overestimated the line count. I'd have to go back through old emails but I believe he said it was only something like 2000 lines.

I'm pretty sure he has far more interesting stories to tell than this, and he is pretty hot on the banjo.
I think for picking one that is fair, but I'd enjoy a good breakdown on how to think about each on their own so I don't try to use git like hg or vice versa.
There has been a lot of rich discussion about the relative merits of the Bayesian and frequentist perspectives on statistical inference. If you are thinking about applying inference techniques to some problem, then it is well worth your time to make sure that you really, really understand this debate, because picking the correct tool for your job is likely to make your life a lot easier (and, yes, there are both situations where the Bayesian perspective is clearly better and where it is clearly worse).

Unfortunately this post completely and totally ignores the things that will enable you to make this decision. This post is called "Understand the Math Behind it All", but you will learn nothing about math, or really, Bayesian statistics, at all. You will not learn, for example, how to apply Bayesian inference to problems, what it means to do basic Bayesian tasks like "use an expert" or "condition on evidence", or even what a Bayesian statistic is. In fact, Bayes' theorem is never even mentioned. There's just a hand-wavy collection of statements like "The Bayesian approach is to rely on past knowl­edge and then adjust accordingly". That is so vague that it is not even clear that they are talking about Bayesian analysis. This is the sort of statement that fools people into believing they understand something that they really don't.

If you really want to understand this material, you should watch[1], a talk by Mike Jordan called "Are you a Bayesian or a Frequentist?". It's a bit much for beginners, but if you are willing to look up some of the math, it is entirely digestible, and it is by far the best comparison of the two communities I have found. I say "by far" because it is (1) a more or less complete representation of both communities, (2) it is pretty much an unbiased representation of both communities' strengths and weaknesses, and (3) it is as direct as it can get, meaning that it is not tied up in a lot of external knowledge, and is intent on delivering this message, rather than delivering it in an off-hand way as a method of getting to something else.

[1] http://videolectures.net/mlss09uk_jordan_bfway/
If you're going to go through that level of effort and you're going to have a computer on at 3am, just run your own SMTP/imap setup and back that up.

You'll never have to worry about getting kicked off or them going under then.

I've been running my own mail server for 15 years and I've probably spent a couple of hours administering it over that time.
For many people, Gmail is their email client...
This really is an awful domain name that could seriously damage the cause. It evokes the likes of EDL, JDL, and VCDL. Try searching for defense league.
It's very similar to Kohana 3.
Cool - so for FF there is already a solution :)
> What do you do with Haskell?

Write massively concurrent and parallel programs with tools that, practically speaking, lead to a massive reduction in race conditions.
The Fake Magazines Used in Blade Runner Are Still Futuristic, Awesome
>3 sigmas is called evidence. >5 sigmas would be called discovery. This is the standard particle physics convention. 3 sigmas also seems to be the unofficial limit after which you are allowed to get a little excited and start to speculate about the explanations. :) As the paper says the 3.4 sigmas corresponds to a p value of 6.9 x 10^-4, which means that supposing only stuff included in the Standard Model exists, getting these results (or something even stronger) just by chance has the probability of 6.9 x 10^-4. That doesn't pop the champagne yet, but it's definitely something to talk about.
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Summary of the link:

OwnCloud is using Mersenne Twister (not secure) seeded by time of day and PID (which is not nearly enough entropy) to generate keys. The encryption is done in ECB mode, which leaks data (https://en.wikipedia.org/wiki/Block_cipher_modes_of_operatio...). The encryption key is stored in the clear in session data, which usually resides in /tmp.

There's more, but those seem to be the worst parts.
Well, it's up now. :)
In Facebook IPO fiasco the 'smart money' got burnt
This is a little frustrating. It gives me an intro into Bayesian Statistics, but not much hard math. Not a formula in sight!
Great story. It sucks that almost every story link is broken,
Facebook's market maker losses may top $115 million
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Of course, nobody heard his comments because he posted them on G+.
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The hckrnews.com browser extension does this with an orange bar on the left of new comments, and on the hckrnews.com homepage it will list how many new comments have been added to the story alongside the total count.
Someday I will fundamentally understand Bayesian probability.

By understand I mean to grasp the links between thermodynamics ,learning, blackholes , cosmology, optimization , probability, bayesianism & quantum mechanics. Stuff like why the utility of techniques from thermodynamics and energy based models in machine learning, the well known relationship between shannon entropy and thermodynamic entropy, between entropy and decoherence in QM, the duality of optimization and probability, the complex Bayesian probability interpretations of quantum mechanics, the Berkenstein bound and the holographic principle. I could ramble on at length but fortunately I have much to do.
What is so important about email in 2012? Tell your contacts your new email, and change restore email option at web resources. Sure, it is a bit uncomfortable and will take 1-2 days to finish, but probability of this scenario is very low.
When lives are at stake, people tend to be more amenable to changes like GMT and 24-hour clock. If the military can do it, a civilian organization with sufficient motivation (insurance terms, regulation, etc) should be able to make the same shift.

However, I was referring more toward the recording system than the staff. If the recording systems were all using unix time stamp with a GMT system clock synchronized over NTP, there would be no ambiguity as to when a record was added to the system. End user systems could be responsible for keeping track of what time zone the user is in, and could convert as necessary. The important thing is that the "One True Datum" have the appropriate stamp.
The cost for nuclear is cheaper than oil and gas

That's a lie.

The equation breaks down when you factor in any of the following:

A) Waste handling and disposal

B) Reactor upgrades and replacement on a sane schedule (i.e. more frequently than the current ~35 years)

C) Hardening against deliberate attacks such as airplanes

or

D) A single catastrophic event due to continued negligence of B and C

The nuclear industry operates on the premise of being able to push the cost for all of the above upon society at some indefinite point in the future (cf. Fukushima). You may or may not agree with that approach (i.e. you could argue "it's worth it"), but let's not drink their kool-aid please.
check out the start-ups on http://siliconmilkroundabout.com/companies. The event has already happened but there are lots of London companies looking for developers.
I like the online article "An Intuitive Explanation of Bayes' Theorem" by HN participant Eliezer S. Yudkowsky

http://yudkowsky.net/rational/bayes

as an understandable overview of why a Bayesian perspective on statistics is important. His technical explanation article

http://yudkowsky.net/rational/technical

is a follow-up to that article.
Right - MAP may (debatably) be a lousy Bayesian approximation, but it's still Bayesian :)

David MacKay's wonderful book made the observation that MAP is a variational method that uses a delta function. "From this perspective, any approximating distribution Q(x; θ) [like the Gaussian], no matter how crummy it is, has to be an improvement on the spike produced by the standard method! [MAP]"
Claming Open visualization
Since visualization involves multiple fields of knwoledged, this is multiple human scopes,, I miss an standarized way to publish code + data as an open resource. In this blog entry I try to propose a way to do that and also I give a first draft for what I understand for “open visuaization”.
I wouldn't put much stock in the faster-than-light neutrino result. That was never peer-reviewed, contradicts the results of other experiments on the same path, and led to two of the leaders of the OPERA project being ousted:

http://latimesblogs.latimes.com/world_now/2012/04/faster-tha...

It was a lot of media hype over a preprint of preliminary results that have never been confirmed.
Mark Zuckerberg Officially a Billionaire
Yes, since each ” pixel” is just an additional box shadow. Very clever. I've never experimented with the number of box shadows that can realistically be drawn on modern browsers, winner what that limit is?

This technique could be used for evil very easily.
True, but this is primarily to address the decreased ability of a density map to indicate outliers. One could also have the proximity be a power function over the entire field (one could do this with density, too, but it makes more sense with a point).
$15 a month, seems very cheap, is it even possible to run this profitably? Who delivers them? How are they paid?
I'm very happy to see Red Hat to grow every day.

Let's hope one day Red Hat could supplant the dominance of Microsoft/IBM in the "enterprise" area (so instead of the expensive .NET tools, we could use JBoss with standard JEE6 and/or Seam+Hibernate).

I secretly wished Red Hat to acquire more "enterprise" software stack out there (i.e.: Zimbra, Alfresco, Liferay, Compiere) and MySQL (gone)/EnterpriseDB to provide more end-to-end offering.
When are Bayesian methods "clearly worse" than frequentist methods, apart from computationally?
I use both, so obviously I enjoy a good breakdown as well(often switching between the 2 several times a day).

And yeah, don't use hg like git and dont use git like hg unless you want pain.

But the author of this post comes off as an annoying zealot. So it is helpful to "keep it real" by recognizing that they are both tools, so in the end as the site says "who the fuck cares?", and master debators blog posts about the supposed "better" or "worse" is just stupid.

The information is good, this authors choice of delivery is annoying. The "vc tool war" if there ever was one was centralized vs distributed, and we the developers won, now let's all go build something awesome.
Awesome observation! I skimmed through his book, but didn't notice this quote.
I couldn't agree more. Email is essentially the skeleton key to all your other accounts thanks to email reset, even if you use your own domain and don't risk the virtual armageddon of losing both all your mail and your address forever you still risk losing all your mail. Even worse, if your account is hacked you have no effective recourse whatsoever and someone will have access to all your accounts, contacts and email history. I pay for Rackspace mail because when I have a problem, I can call a real phone number and talk to a real human whose interests (company continuing to be paid) are aligned to mine (having a working service).
It's also the backdoor to nearly every online account you have, by way of 'reset password' links.
So, currently my cofounder and I will be delivering them, but probably will ramp up hiring with increased volume. If we serve 300 people day one, $150 dollars is enough for the gas money and a little profit. But we're still working on pricing, so if you have any ideas, we'd love to hear them.
Claiming no one needs these things because you don't need these things is like a four star chef claiming there is no need for diners.
I can't really see how this mvp can scale beyond a few dozen customers if manual delivery is going to be used (how many minutes do you have before the coffee gets cold? This sets all kinds of limitations on your business). $15 per customer/month isn't much if you're going to pay for (gas), salaries, etc.

Unless, of course, this is Starbucks' MVP and they are figuring out the parameters of coffee delivery. Now that would be brilliant.