skysight-inc/HackerNews huggingface dataset:
Akamai was good to him by providing services pro bono, so I doubt he wants to knowingly become a PR stunt for CloudFlare.
Ask HN: What are you using for integration testing?
Are there any tools for automated integration testing of some semi-big web applications?

Thanks
I think that's the secret sauce for these quys. I'd be surprised if you can find out a lot about current techniques without signing an NDA and leaving your mobile phone in a box at security.
If you have independent metrics of your own spend, then no, facebook didn't tell you. But you'd have had to have had similar spends in similar ways with all their competitors to know that.
SemiAccurate - the website this article is posted on - is a bit like the Daily Mail of technology. It probably had clickbait titles before the word was coined.
And, in fact, it's very difficult to motivate anyone to do anything in defense of anyone merely accused of viewing child porn who has not yet come to trial.
Whim != Accident
In a Nissan Leaf, you can get around 5 miles per KWh average. You can plug in the 1.1 kWh charger and realize you will get 5 miles per hour. If you use a bigger 6.6 kWh charger, it's 30 miles per hour.

Better yet, you can fiddle with the dash controls and get a power meter: acceleration takes 30-60 kW, but regeneration can make up to 30kw.

Like the OP says, this kind of thinking really changes your perspective.
How to hit it big? SV vs. Wall Street
perfectly named though—truth in advertising FTW!
Most likely, he joined the Ph.D program and got a Masters along the way.
http://www.fdareview.org/05_harm.php

I also recently read The Right to Try about how the FDA delays the approval of drugs for terminal diseases costing countless lives. This is less statistics based, but it shows many absurd decisions by the FDA. Terminally ill people are more than happy to take risks for drugs even if there is a small chance of them working.

The FDA delays approval of drugs even when they are known to be safe, because they haven't yet proven efficacy, which is just silly. In one case they wouldn't approve a drug because they demanded a clinical trial larger than the number of patients that existed with that disease, and way larger than necessary to establish statistical significance.

They ignore data from previous studies and from other countries. So there are cancer drugs that are known to be very effective and have been used for decades in Europe, but still aren't approved in the US. The death toll of this decision alone is enormous. Thousands of people could have been saved if this treatment was allowed in the US, but we are stuck with much less effective, older treatments.
+1 Mostly Harmless Econometrics - Angrist and Krueger
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This article relies on apocryphal data at best, and seems largely to have been formed by the author's vague impressions.

It's a waste of time to read, and not worth refuting in detail.
Performance and Availability Pitfalls in the Microservices Architecture – Top 10
Even with no bias, uncertainty can cause problems. Say an ML system is tasked with finding the top 10 candidates in terms of "confidence that they will be able to do the job". Then if it has little training data on candidates of a particular class, and those in that class are actually quite different on many different variables (so it can't generalize very well), it may not be able to reach the required levels of confidence for them.

I think this is actually the reason for a lot of accidental discrimination, because human judges would have exactly the same problem.

I remember in school, playing chess a couple of times against a guy fresh from Sudan. He had the most unsettling smile, and played very unorthodox openings. I won some, he won some - but I always suspected he was stronger than me, and just being polite/testing me. It's just impossible to read someone from a culture so different. I'm glad we didn't play poker, to put it like that.
That doesn't work either because Apple would have to be complete dullards to not realize that someone would found this obvious flaw within a week of the release of the OS. Especially right after launching a bug bounty.
It's a classic tragedy of the commons. If all their creditors let them unload in an orderly fashion, they'll get a better return on what they're owed (making a complete guess at some numbers, maybe 30% instead of 20%). But if one creditor can sieze a ship they might be able to get back 100% of what they were owed, and screw the other guys.

The way this is supposed to be solved is bankruptcy protection; no-one can claim their specific debts, the administrator will figure out the best way to get as much money as possible and distribute it equally. I suspect the problems in this case are mostly caused by the international aspect: Korea may recognize a bankruptcy but that doesn't necessarily mean all the ports around the world do. I'd guess that international bankruptcies are probably rare enough that the system hasn't really been ironed out yet.

I'm not sure where insurance comes into it?
On my local machine (since I have texlive installed and each texlive package is a separate package in openSUSE ignore the fact that `LPPL` is the most popular). GPL-2.0+ is ~2x more popular than MIT (and all of the *GPLs together are ~4x more popular) in my admittedly small sample size of packages.

% rpm -qai | awk '$1 == "License" { print $3 }' | sort | uniq -c | sort -nr | head -n10
1248 LPPL-1.0
558 GPL-2.0+
301 MIT
293 LGPL-2.1+
221 BSD-3-Clause
138 GPL-2.0
131 GPL-3.0+
115 SUSE-Public-Domain
79 Artistic-1.0
41 Apache-2.0

And actually I haven't counted dual-licensing. Here's an even better script:

% rpm -qai | awk '$1 == "License" { print $3 }' | grep GPL | wc -l
1316
% rpm -qai | awk '$1 == "License" { print $3 }' | grep MIT | wc -l
302
It's even more terrifying considering the fact that it took millions of years of to accumulate such amounts of energy in fossil fuels (it's literally sun energy laying underground). Sooner or later, we'll run out of it…

BTW, it's not 10 kW/h, but 10 kWh in a litre of petrol.
Plasmatron: a JavaScript experiment
About Libya
The slow browser.
Niederhoffer did his PhD in statistics. He is nuts but he basically invented quantitative trading. Maybe you read his book "Education of a trader" and the "New Yorker" article about him ("The Blow up artist").
> it's illegal to ride in the "home" part of an RV while moving

Two minutes Googling shows this isn't true in 28 US states, which only require seat belts for the front seat passengers:

http://blog.rvshare.com/things-need-know-rv-seat-belt-laws/
I'd call it SV's Law, but you can get the merits of it :)
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This last day or two I have had about 10 people in my facebook feed excitedly post a link to an article about how some scientist has "discovered" that if you cook a potato you can power a led lightbulb off it for 40 days.

And then going on about how this is wonderful for the 3rd world because they can grow their own potatoes instead of us having to ship expensive polluting batteries to them.

When I point out that the potato is irrelevant and the power is being generated by using up the zinc electrode and if you are going to ship them zinc electrodes for this it's no different to shipping very old, very poor batteries I just get told off for being so negative and how "I'm sure they've thought of that".

Ugh.
One the one hand, this would be good for people who overeat (more calories than they usually expend). On the other hand, in absolute terms, it is just turning agriculture into a source of power very inefficiently (a methane digester would be much better).
With AMP, Google doesn't only define the standard - a core point of AMP is that AMP carefully controls which scripts run on the page.

The whole standard is designed so that you cannot insert any custom script with access to the page DOM: the closest you can do is insert cross-domain iframes, and even those have weird restrictions (like they must be outside the part of the page that the user can likely see without scrolling)

On the one hand, this trivially solves many of the "obesity" problems as the AMP team can make sure every single allowed script fits their performance requirements. On the other hand, this requires contous engagement by the AMP team, something which would have very questionable implications if AMP would become a web standard.
I'm interested in watching this footage, do you remember the name and air date?
I doubt it. I think a lot of these attacks (though possibly not this one) would not even be possible if ISPs did egress filtering of packets with spoofed IPs, and yet ISPs don't seem to be implementing even this feature. It seems unlikely that they would leap frog this and start requiring some sort of identity verification, just to solve DDoS problems.

Additionally, in situations that don't make heavy use of amplification (where egress filtering doesn't help much), the way it's usually accomplished is by compromising a bunch of hosts - home computers, routers, etc, and assembling a botnet. In those cases, if your device is compromised, it would authenticate as you anyway, so such a scheme would solve nothing.
Such a cynic. I'm sure people accidentally coat their gold nanowires in manganese dioxide and Plexiglas-like electrolyte gels all the time. ;)
I - for what it is worth - would still say general object recognition, with the emphasis on general, is indeed the holy grail.

The ability to recognize objects like people do is not properly represented by current benchmarks. I can imagine that you can built a perfect robotic "bird spotter" but if you put that in a self-driving car I would not be surprised if it stops for something that's just a shadow, or if you put it on a humanoid it's unable to distinguish its own hand from that of its clone. Imagine two of them cleaning out the dishwasher. :-)

A lot of AI is still working only in lab conditions or restricted application domains. That's why I consider robots and cars so important in driving AI towards the "general" dimension.
This might sound unconventional but in terms of Economics I would recommend a comic book called "Economix" by Michael Goodwin. According to financial advisor David Bach:

"You could read 10 books on the subject and not glean as much information."

Personally I believe thats because the subject and history of economics is presented in such an accesible and fun way in this book without compromising the quality and historical accuracy.
Animats (John Nagle) is a long-time SV type, bright (founded his own company, has a few patents), and has interests in a bunch of areas. Apparently reads and thinks a fair bit.

He's not representing himself as an insider. Most of what I've seen checks out fairly well, and he's got a maturity and insight I wish were more frequently found here. He's not infallible, and doesn't portray himself as such. Few of us are.

Some background from earlier: https://news.ycombinator.com/item?id=9048947

Your comments are quite uncharitable.
Same goes for Facebook's user tracking "bugs".
Statistical measurement of lift in sales.

Most small advertisers wouldn't be able to do this, and attribution is hairy as hell, but the options for measuring this are there.
Everything That You Need to Know About Stock Management Software
If you're using LaTeX anyway, then you might be interested in TikZ [1]. This repo [2] contains some of the figure I created for my thesis.

[1] http://www.texample.net/tikz/examples/feature/plotting/

[2] https://github.com/jeroenjanssens/phd-thesis
Some food for thought. I heard a very interesting answer from a meditation teacher to the simple question "How much should I meditate?" which went something like this, paraphrasing:

"Generally, if it's not a major part of your life, 15 minutes every day would be most appropriate to gain positive benefits from the practice. However, if you're extremely busy while balancing many obligations and absolutely don't have the time to take 10-15 minutes every day, then you should take an hour. Possibly two. That is a sign that you need it far more than others."

Others may generally get similar other "recharging" introspective activities during their less frantic day. It's like asking how much water you should drink - drink a glass. But if you're so dehydrated that you can't lift the glass to your mouth, then you need far more than that. Feeling intense stress at inability to commune with yourself is just as severe symptom as dehydration; in the first world far more people die from that than from thirst.

Having many obligations doesn't necessarily mean that the best way to fulfill them is to spend all your time directly on them and no time on yourself to be able to do them effectively - especially in intellectual creative work. As in the classic parable of "sharpening the saw" (e.g. https://betterlifecoachingblog.com/2010/10/11/sharpening-the... lists it). If you have 8 hours to write an article or a software feature, then spending 3 hours to catch up on sleep debt, 1 on exercise and medidation and 4 hours on actual writing can easily mean more and better results than just working through that. I certainly have my share of late night work that was extremely unproductive due to tiredness and ultimately had negative value due to the unreasonable rate of introduced bugs - with hindsight, doing that work was a mistake, and simply sleeping to recharge for the next day would be more productive.

Also, if you say that you're suffering, that indicates that a change is needed. Much of our obligations are ultimately self-imposed and can be adjusted in long term. When the world demands something that you cannot sustainably give, saying 'no' is not a possibility, but a necessity.
It's because you've chosen another region than "United States". Click on your region/country flag in the bar below and change it to the US - and the page will work.

Weirdly, it doesn't seem like tesla.com/lang/software exists - which it redirects to.
Maybe I'm not exactly the case you are asking for, but let me tell you my experience:

I started college in '97 and specialized in robotics and AI. Dropped out during my fifth year (2003) for several reasons (some having to do with the university, others were personal/family related). My working experience begins in a startup in '99 doing web stuff.

Now, in my country and in the early 2000's there were no jobs in robotics/AI, so I continued doing web stuff and, through the years I've moved up and down the ladder (I was development director of a multinational, left for a senior developer position because I was bored), lived in 4 countries and moved into different sectors and technologies. AI/Machine learning/Robotics were a hobby and I tried to keep up to date[0], but I had very few opportunities to apply that knowledge in my day to day.

In terms of education, I'm a drop out: I went through five years of university and have more than enough university credits for a bachelor degree, but have never felt the need to go back and officially get a degree[1]. I started a master's degree in Ireland and left it after the second module[2].

Now, finally, the point I wanted to make (sorry for the long introduction, I felt it was important to give a bit of background):

About five-six years ago, I got my first official position working full time with AI and machine learning[3] and suddenly found that my maths knowledge was definitely lacking. Even today, although I'm always improving, I find that when talking about deep learning, the maths are definitely my weak point even though I'm able to implement models, systems and tweak them enough to get good results.

So, to answer your question: Yes, I keep being offered jobs. Maybe not as well paid as someone with a similar level of experience and a PhD and definitely not research-oriented. If the company does have a data science team, those jobs are usually working with them to take their models and integrate them with the rest of the product/s.

[0] I went through Andrew Ng, Sebastian Thrun and Peter Norvig courses originally through Stanford Online and I'm constantly following one or two coursera or MITx courses in the area. I also have an account in Kaggle but I don't usually push my results, I'm more interested in the datasets.

[1] I'd need to go back to my country and fight the bureaucracy there while trying to get documents from a university that no longer teaches computer science.

[2] I felt a bit cheated, to be honest: The syllabus looked great, the content was mediocre at best and the papers we had to do had very little to do with the stuff we learnt and even with IT in general. 4K euros per module (for an online master) and the time spent wasn't worth it just to get an official piece of paper.

[3] "Data science", I don't specially like that term and, if anything, I prefer to call myself a data engineer. I don't do science, I don't do research. I can take a research paper, implement it and add all the stuff that makes it useful and production-ready. But I don't call that science.
Re: [TLS] Industry Concerns about TLS 1.3
Not only that, your vote actually counts with only 331,778 people!
Create a Blockchain based system to monitor and charge for PM2.5 in China
Why not simply block traffic from the specific unknowing customer to the target? I.e. Allow all normal traffic from the customer to go through, except for the traffic that was identified as being part of a DDoS? Is it expensive for an ISP to do that type of intelligent/rule-based routing?
That would be fine and all if Cloud flare wasn't removing other Internet threat from their networks (phishing, malware,...).

They remove them all, except the one whose threat they benefit from (cloudflare has a direct interest in the ddos threat being as big as possible).

Claiming they are protecting their free speech is a load of bollocks.
First of all, see my comment above. The FDA costs way more lives than it saves.

Ideally I would like the FDA to be replaced by a more efficient regulatory agency. Europe's system seems to work a bit better. I dream of something like prediction markets, where people could bet on what medicines would work and not work. At the very least, some system designed to make regulators accountable for lives cost due to not approving drugs, just as much as they are accountable for approving bad drugs. Both sides of the tradeoff need to be explicitly acknowledged.

But I'm not confident that nothing at all would be worse than what we have now. Snake oil wouldn't be legal as victims could sue the companies that produced bad medicines for millions. Bad drugs would still be banned on a reactionary basis, rather than preemptively banning all drugs and only approving the ones that can meet a ridiculous threshold. Doctors are not idiots and would do their best to make sure their patients aren't getting snake oil.

I'm not saying this is a perfect system, I'm saying the FDA is so bad it manages to be worse than this.
This is mind blowing. To unravel this small snippet of written history is an incredible achievement.
>They enable the booter's free speech; they aren't enabling their actual attacks.

The attacks are paid for and managed by the customers through the web portals that run behind CloudFlare. How is that not enabling the attacks?
No, it's just that Akamai (probably) didn't want a "customer" that they were hosting pro bono to affect paying customers.
I'd like to hear that story!
Too bad, I had some nice reads on his website. Hopefully this will only be temporarily...
Wikipedia entry on it, which skimming seems to be fair: https://en.wikipedia.org/wiki/Economics_in_One_Lesson and I note it was published in 1946, making it something of a classic. There a links to multiple versions of free on-line copies of it at the bottom.
This is the piece I've been digging for info on.

The dimensions to break out reporting columns for various view duration percentages has always existed. Any advertiser worth their salt is looking at the breakdown for stats on meaningful views because out outside of cases where your message is delivered in a couple seconds you typically only care about longer views and would just look at those numbers.

So the question is how deep this polluted other metrics.
I enrolled in 2011 at a large German university and I was able to register (first letter of my given name)@(university).de. Apparently, very few people tried their initials before.
More on Ship Arrest, via a (non-maritime) lawyer on a G+ discussion: http://www.marineinsight.com/maritime-law/ship-arrest-under-...
And what's the capacity?
If someone else put 10 kilograms of cocaine in your house without your knowledge, without you ever having seeing or opened it, he could call the police on you and you would get convicted.
Agree. I think an underestimated advantage Tesla has over the traditional car makers is their software process. Tesla just released version 8, and rolled it out to all their customers.

Traditional manufacturers must recall cars to fix a software problem, and charge customers for software upgrades. I guess it's hard for traditional car manufacturers to offer an integrated experience like that, you need to design a car from the ground up (including the software that's running in components from suppliers, like batteries) for that.
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Great.

But I just wish science would spend less time self-annointing itself as our saviour when such "discoveries" are accidents, if not luck.

It's as if winning to lottery makes you a mathematical genius.
Akamai has ~140 000 servers around the world. Attack was probably spread around many locations that's why you don't see any report on mailing lists.
While I'm open to believe you if true, you need proof, links to affected people giving details, etc... Not your personal anecdote that may or may not have happened the way you describe it.

Otherwise your post is merely an unsubstantiated personal attack against akamai.
NB: Animats is intelligent and quite knowledgable. I'm not aware that he's worked in shipping. Well, unless you count ballistic orbital delivery.
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This. Experienced marketers know analytics sources will never fully match. That's why you look at things directionally and focus on measuring bottom line impact.

Source: someone who has had to deal with clients who insist that all our various js-based tracking methods should 100% match backend data and each other.
We can't inspect human brains, they are black boxes. People are incredibly biased, but also mostly unaware of their biases. For instance, judges have been found to give much harsher sentences just before lunch, when they are hungry. Or attractive people get much shorter sentences. In job interviews attractive people do better. It also matters way more in tipping waitresses and in elections.

But on top of that, humans almost always do worse than even the most simple statistical baselines. Simple linear regression on a few relevant variables beats human 'experts' 99% of the time. Humans shouldn't be allowed to make decisions at all, yet everyone seems to fear teh scary algorithms instead.
Even the Economist are not immune to the temptation of clickbait headlines...
You want them to push the idea that isp and other middle men networks should not be dumb pipes, but charge a different pricing depending on traffic type and intent?

Your comment may have the best of intentions, but that's how you take net neutrality out the window.
If I remember what cloudflare's article said, that 600gbps attack was a reflection/amplification attack, which for them is likely easier to filter out then just large amounts of direct DDoS traffic, which is what this was evidently.
Honest question -- how do you feel about someone downtown with a bullhorn, calling for terrorism or some other malicious act?