skysight-inc/HackerNews huggingface dataset:
"Spending a few years in a bunker would simply delay the inevitable."

All of life could be said to be merely delaying the inevitable.

I am reminded of the story of a man running away from a tiger when he reaches the edge of a cliff and falls over, managing to grab hold of the edge and hanging by one hand. Below him is certain death from the fall, above him is death by the tiger. The man notices some sweet dew dripping from a blade of grass by his face. With moments left to live, he licks the dew.
A delta of $3000 per component buys you a whole lot of electricity.

Furthermore, the performance of each of NVidia's GPUs falls somewhere between 5 and 20 teraFLOPs. A Haswell Xeon gets you about half a teraFLOP for around 1/3 of the power consumption of a NVidia Tesla P100 GPU.
In a similar way, I've been seeing and hearing a lot more of the skirling screeching ascendant strings sound since Lost began using it to indicate high drama just before a commercial break.

I know it existed before then (perhaps its earliest progenitor came out of Psycho) but it seems like this specific use has become more popular in TV scores since Lost started doing it.
Just speaking from a personal perspective, I took a parallel computing course at my uni this past semester and CUDA was the main platform we worked on (and I'm an undergraduate). Nvidia also has a great Udacity course they offer for free. Unless AMD gets CUDA compatibility working soon, I really don't see how they're going to catch up as far as adoption goes.
> I'm not sure why the solution should be to discontinue offering parental leave.

I'm not sure where you got the idea that I'm suggesting that solution. In fact, I explicitly said "I'm not saying parental leave is bad".
The whole deal seems weird to me.

Neural networks are just functional approximators, so why isn't a linear regressor of k-th order (e.g. Taylor expansion up to k-th order) also considered "ML"? What's the distinction here?
We use CircleCI. The build container is provisioned with docker/gcloud/kubectl. The repo webhook fires on commit, the image is built, a test entrypoint is executed on the image to run tests. If the tests pass the image is pushed to the project repository, and then kubectl is used to update the kubernetes deployments with the new image ref.
thats a give for mass produced cheese and other things like wine, they add "flavoring" instead of aging it properly...

Low fat cheese is also quite bad if you want to avoid sugar / carbs since adding / leaving in the carbs is pretty much the only way to produce a low fat cheese while keeping the same texture (you can increase the proteins but it will make it very stringy and or hard).
> That's not true.

>> These genes may be transferred from non-disease-causing bacteria to those that do cause disease

It looks like it's true.
One thing that would be interesting is if you could use cards like this for rendering multiple instances of X, for the purpose of running things like WebGL browser screenshotters.

I had to ship out a high-end gamer GPU with a dummy HDMI adapter for this purpose recently. But it's obviously not very efficient. It would also be nice to be able to run multiple screens in parallel, not just one per GPU.

I doubt there will ever be a product for my use case, but one can dream...

That said, these are cool. I think they're lower power than the Nvidia equivalent, but I could be mistaken (I just recall the Tesla models being power hungry.. enough to cause a real problem in a datacenter rack).
I wish this happened more often in companies. Unfortunately I usually see the following happen.

A mid-level developer, let's call him Dave, becomes a critical employee after a few years with the company. He silently become "senior" without anyone really asking him to. Other developers notice this and often come to him for help. Management, however, doesn't notice, because nobody in management is exposed to Dave's actual contributions to the team. All they see are completion metrics – story points, etc. – and a project moving forward. Dave is too humble to point out that he did 80% of the work, and he doesn't have regular meetings with his supervisor anyway, so the subject would never come up. After a few years with the company, Dave gets bored and finds another job.

The company now has to pay recruiting costs and the ramp-up time that comes with a new person on the team. Dave, meanwhile, gets what he wanted – a promotion, and a higher pay check. The company could have saved money by giving Dave a 20% raise and a promotion (even a nominal promotion, to make him feel valued) but the management structure wasn't there.

This is how it normally goes, and this is exactly why there is such a short length of tenure in the tech industry compared to other industries.
I don't know if it counts as insider information, but Numerai might have access to superior data, but they obviously don't want to give it away, as they would lose their chance to make money. This way they keep the power but leverage the knowledge of those with good analytic skills. I guess it would work in a situation where one party has knowledge, and the other party has skill, and it is only possible to profit when both are combined, but the one with the knowledge wants to maintain all the power in the bargain.
Watch the documentary called Idiocracy by Mike Judge for a good idea of where it's going.
Yeah...this is how you have an even less-informed electorate. I follow the news because seeing what goes on helps shape my political views and decide how to vote. Not just for the president either. And not just to vote, I want to know if my congressman is doing something shady or damaging so I can make my voice heard with a phone call or email. Just saying "all news is bullshit" is horribly lazy.
All times EST. :)
Weren't these lectures recorded as well?
That might be a recent feature but previous versions required the controller to be running for handoff.
From Coursera - we use ML in a few places:

1. Course Recommendations. We use low rank matrix factorization approaches to do recommendations, and are also looking into integrating other information sources (such as your career goals).

2. Search. Results are relevance ranked based on a variety of signals from popularity to learner preferences.

3. Learning. There's a lot of untapped potential here. We have done some research into peer grading de-biasing [1] and worked with folks at Stanford on studying how people learn to code [2].

We recently co-organized a NIPS workshop on ML for Education: http://ml4ed.cc . There's untapped potential in using ML to improve education.

[1] https://arxiv.org/pdf/1307.2579.pdf

[2] http://jonathan-huang.org/research/pubs/moocshop13/codeweb.h...
I've been reading a book called "Grain of Truth." The author defends wheat and blames its industrial processing on its ill effects on the human digestive system. The removal of bran, germ and other vitamins in the process leave the starchy leftovers that are what nutritionists seem to demonize.

Personally I still probably wouldn't eat breads or wheat often, I'll consider it a treat every now and then.
all that tells me is that you're not charging enough and you're working too hard. (KIDDING! KIDDING!!! ... or am I?)
Does there exist an index of JS frameworks and the needs each is intended to meet?
Node.js performance showdown v7.2.1 – a framework comparison
I think at a certain point the question becomes very similar as asking why you got a 6 in a dice roll instead of a 3. You can definitely explain it using Newtonian physics but at a high enough level I'm not sure it really matters.
Documentary: DOOM Resurrected – To Hell and Back (Noclip)
The parent's question is pretty common and the answer given by scientists is always "Yes we're still evolving" but while it technically may be correct I think it gives people the wrong impression - like we could possibly grow a tail in 500-1000 years.

I'm no expert by any means, but my understanding is that usually there needs to be some event that causes one species to diverge significantly. For example, if some percent of the population of some land dwelling animal becomes trapped on an island due to some geological activity, those that are better jumpers may be more fit for that new environment to survive like you stated (either to obtain food or avoid the common predators on that island). And thus over a period of hundreds or thousands of years in which they are separated on that island from the rest of their species, they will slowly evolve to be categorized as a new species.

But I can't see humans evolving to become a vastly different looking species (which is the layman's definition of an "evolved" species) since we are now a global population and our physical abilities do not determine our fitness to survive unless there was some global killer such as climate change which significantly changes civilization as we know it (e.g. we go back to being hunter/gatherers).
So level 3 vs level 4 autonomy, in other words? Usually when people use the word "automated", they imply level 4.

I agree any sort of driver assistance tech at level 3 and below is beneficial for public safety, I am not sure it's an industry game changer.
a large number of important code-bases are written in Go, proving that it's suitable for large scale software (docker, kubernetes, prometheus, influxdb, tidb, cockroachdb - those are from memory.

Given some of the issues we've seen in the quality of the above mentioned software, I wouldn't be surprised if in the next couple years we see a lot of regret for being so gung-ho over Go (ala PHP in the early 2000s).
List of self-help ish content
Without knowing much how they obfuscate the data, if anyone could figure out a way to unblind the data, they could reasonably predict what trades Numerai will make, right? Even more important, they could influence those trades.
If I'm not mistaken, this is the presentation that discusses mapping the roads before autonomous travel. They compare the maps to what the car sees as it drives.
https://www.youtube.com/watch?v=YXylqtEQ0tk

But there are a number of reasons the need pre-mapping are not a huge issue. A) When autonomous cars start to be introduced people will still know how to drive, and can pilot the car through unmapped areas. By the time everyone has an autonomous car, and no one knows how to drive the world will be mapped. B) Google has already shown with Streetview that they can create detailed, up-to-date maps of most roads. C) This problem will likely be solved in time.
Whereas, the "standard" USDA diet has created an obesity epidemic. That is also a definite concern. I would take the diet with insufficient evidence over the diet that has years of evidence in provably not working.
We don't know how it will end up for her. She might live past 150, or she might get horrible cancers all over her body in 5 years.

We also don't know if she actually had undergone the treatment, it can simply be a scam.
I can't tell if you're being sarcastic, but her server was anything but secure. It wasn't even using TLS.
I understand why CentOS/RHEL is preferred by some server admins to Ubuntu (longer support cycles, hardware drivers etc), but I never got why individual devs run CentOS versus Ubuntu on their own machines.

Every time I have tried to get tech stacks up and running on CentOS, there is just more friction/pain than doing the equivalent with Ubuntu LTS.

Am I missing something?
...just survivor bias at work. Nobody remembers the terrible summer blockbusters from years past.

But people remember Jaws, Terminator, and Aliens.

At some point somebody is going to make The Searchers of robots beating everyone up

It's about time we got something like that: https://xkcd.com/311/

There was that 1st person movie, which actually was kinda cool, but it made me nauseous.
If you read your source, you'll realize the term "bias" referred to a slant in the floor of a ball game providing an advantage to one player. This slant would (I'm inferring) cause one player to have an advantage over another equally matched player depending on which side of the slant they are on.

This agrees perfectly with the statisticians definition, albeit applied to one particular example. Specifically, the slanted ball game field would provide a biased measurement (in the statistical sense) of player ability. Score 1 for the mathematicians.

I agree with you that this techcrunch reporter is using the term in some other mysterious "vernacular" way. It's this usage that I'm objecting to since it's misleading and confusing.

If someone says 'I'm feeling really energetic today', would you object on the grounds that they haven't shown that their biochemical energy reserves are larger than normal, or that their body is burning calories at a faster rate than usual?

If an article were discussing how coal is more "energetic" than nuclear energy, but was actually referring to energetic in the psychological sense (or maybe in the hippy energy crystal sense), I would in fact object. That would be similarly misleading.
I'm trying to think of the reason why NFS's latency is tolerable but S3's wouldn't be. (Not that I disagree, you're totally right, but why is this true in principle? Just HTTP being inefficient?)

I would imagine any implementation that used S3 or similar as a backing store would have to heavily rely on an in-memory cache for it (relying on the content-addressable-ness heavily) to avoid re-looking-up things.

I wonder how optimized an object store's protocol would have to be (http2 to compress headers? Protobufs?) before it starts converging on something that has similar latency/overhead to NFS.
I cannot recommend Lenovo X1 Carbons enough. I use it at work. Runs Linux buttery smooth. (Tested Ubuntu and Arch, both work perfectly, Arch needs a few minor tweaks)
>That's true, but if the issue is important enough to lots of people, those people will elect representatives to enact the policy they want made.

Yes, but it's more complicated than that. The federal government isn't legally allowed to mandate these types of things under the Constitution, except insofar as they can claim it relates to "regulating interstate commerce" (which they do for almost everything these days). Most employment law is state-level, where there is not necessarily a constitutional prohibition on this type of action (each state has its own constitution, YMMV) and where there's a reasonable possibility of jurisdictional competition to keep things healthy.

For example, there is no federal minimum wage (the term "Federal Minimum Wage" refers to the lowest amount of money that the government pays its employees, not a legally-required minimum wage nationwide). Each state has its own minimum wage.

>If it were many companies, then this wouldn't be news.

It's news mostly because AMEX paid its PR people to put this out. It's good press and may cause talented job seekers to look at their openings. There are a lot of news reports about routine things every day, because much of the news is bought by PR firms.

Secondarily, it's news because it comports with the political agenda of the news editors and gives them an opportunity to say things like "America is behind other developed nations in this area", when that's anything but an objective conclusion (because whether this policy is "ahead" or "behind" is a subjective evaluation).
What's startup time like? Is it instant?
I misunderstood the title and was very confused as to why Dan Brown would have things to say about Javascript perf.
My experience editing Wikipedia suggests to me that this is a dubious tactic. Anything I cited on my own web pages, for topics I feel pretty comfortable asserting expertise on (like, for instance, the presence of a lisp interpreter embedded in the Seatbelt ACL system in OSX) was immediately sniped by other editors.
Why? The majority of Americans don't see it as a big enough problem to complain about. Also getting something passed in every state takes time. Opinions need to change enough for legislatures to take heed.
I've noticed the SDK and sample code problem as well. Things are moving so fast on the product teams that docs suffer.

EDIT: That being said, I work with Azure pretty extensively and it's great.
I don't know of any good books on the consequences (so I'd be curious too) but here is a good report if you want to know more about the possible population scenarios: http://webarchive.iiasa.ac.at/Admin/PUB/Documents/IR-08-022....

It's pretty shocking to see how quickly and how far total population would fall if global birth rates eventually decline to the level Europe is at today.
I forgot that one! For some reason I thought it might still have had a SCSI port because of all those Syquests and Zip disks that people still had.
Dropps.com – The Naked Truth About Laundry Video
On the other hand, it's really hard to make a closed-source app that you can sell, and still make it cross-platform.
The ML/deep learning technologies are peaking or will peak in the coming years on the hype curve [1], so it is not too late for AMD to join the show, there is plenty of newcomers and growing entities to buy hardware. So even though the CUDA ecosystem is far more established, let's not forget how much room for growth there is under an exponential growth curve!

Even Intel is late to the game (and so far can't even compete with AMD in terms of hardware).

[1] https://www.gartner.com/newsroom/id/3412017
It's kind of amazing how fast the internet evolved. Did the original people who were hooking these boxes up ever imagine what it was eventually going to be?
Translate your Rails App to 5 languages in less than 5 min
I'm not exactly clear on why one is great and noble but
the other is not. There's some undercurrent that I would
paraphrase as 'limiting the harm' of the leaks by being
selective.

That Snowden and Ellsberg leaked different "types" of data (and to different audiences) is more a commentary on technology and the times than any inherent nobility. Gladwell makes the difference quite clear: where Ellsberg "studied under a Nobel Prize winner, gave career advice to Henry Kissinger", and was a "handsome and charismatic" Marine Corps commander, Snowden was a dropout, a washout, and a technician. Not an "élite" [accent sic].

In other words, it's all about who did the leaking, rather than what they leaked. Where Ellsberg is compared to a graduate student, Snowden is the destructive hacker.

Snowden is "lesser" for his seeming assault on the ivory towers occupied by the likes of Ellsberg.

Secondarily, Ellsberg's leaks documented past failings, not current ones. In that way, perhaps Ellsberg did "less harm", as it was all tinted by the rose glasses of history. Kissenger/Nixon are described as being "delighted" by Ellsberg's leaks, as they highlighted the mistakes of the previous administration.

Ellsberg did also hold back some data he felt was "sensitive", so he gets credit for that, where Snowden does not. (And is described as a "flooder".)
our strategy is to have two dockerfiles for each repo. The main Dockerfile and a Dockerfile-test, that builds FROM the main one and contains the test dependencies. during CI we first build from the main Dockerfile and then from the second one. since the test one builds from the main one, there is no significant overhead and it's usually a very fast build. we run the tests on the test image and if they pass, we push the main image to the tests. This means that we do not in practice, deploy the same image we test, but it's pretty close to that. It just requires some discipline to make sure that the test one just adds test dependencies and nothing more to be as similar as possible to the main one. We use circle for continuous integration but distelli looks really cool. Something that circle and travis don't give you is a pipeline feature. Having a system that is aware of your cluster technology enables some nice pipelines and better control
Sure, with Electron/Node you can easily do that: https://nodejs.org/api/addons.html

A good example for a performant Electron/Node application is Microsoft VSCode
Lenski's famous experiment observed speciation in the lab: http://rationalwiki.org/wiki/Lenski_affair
Tor Project Releases Sandboxed Tor Browser 0.0.2
if you're using native code anyway, why not just use gtk or qt? they both solve the "multiplatform is complicated" issue, as long as you're willing to compile separately on each platform and host native executables for end users to download.
Indeed. There was a great article which I can't find now about all the missiles still pointing from the US to Russia and vice versa, where after the fall of the Soviet Union a General formerly in charge of the Soviet arsenal met his British counterpart and assured him that in the Soviet nuclear war preparedness plans, the entire UK was a complete overkill zone.
I vote with an informed mind of what's going on in my community.
Nice details, thanks.
You made the mistake of citing yourself instead of getting a friend to do it :)
White Crab Playing at Beach – Oman
We leverage machine learning in the asset replacement modeling space. Basically there is an optimum time to sell your vehicle and purchase a new one based on our model. Our company works with large fleet organizations and provides analytics suite for vehicle replacement, mechanic staffing, benchmarking, telematics and other aspects of fleet management.
Surprised, no. But it is a useful data point.

Which, when considering whether to open those (AFAIK unsolicited) emails from Amazon recruiters that I get now and then... factors quite considerably.
Quora Design: Atoms vs. Sessions
DIRECTV Now does not support Firefox
I was more thinking of finding the citations as opposed to research in the discovery of new knowledge sense.
Western Civilization depends on western children. I'm pretty sure we're all in favour of either keeping, or improving the civilization we have.
No, we used Polymer in an Angular 2 app. <- Sorry, I misunderstood what you were saying. Yeah, the full name is Material Design for Angular 2.

Even though Material 2 is in alpha, the components we need just work better than in Polymer; They have fewer quirks, fewer bugs, and fit better into the Angular 2 ecosystem.
(1611) is November 2016, not the year.
The PCIE NVIDIA P100 has peak memory bandwidth of 730GB/s, at 250 Watts, which is almost exactly the same bw/watt as the MI8 (well, there are two PCIE P100s, I mean the better one).
At ScreenSquid we use statistical analysis to find screen recordings of the most active users on your website. This saves our customers a ton of time avoiding playing with filters trying to find "good" recordings.

https://screensquid.com/2016/12/introducing-star-ratings/
I disagree; most people use caffe / keras / theano / tensorflow / etc hiding the cuDNN details so end users won't care much. Offering more performance / shorter training loops is a big deal. Your typical ML learning loop with an expensive human regularly waiting for experiment results shows clear benefits.
>To those who don't understand parental leave: it is self-evident that child-bearing is a necessary condition for the continuation of society.

I like the "children are public goods" explanation for why the birth rate is declining. We could address this by subsidizing maternal leave or childcare services. From Augustus to modern Japan such incentives have proven pretty ineffective, as they don't scale with the wealth of the parents. Giving parents some percentage of their children's tax revenue would. This policy has the unfortunate characteristic of trigging an intense moral disgust reaction in all who hear it, including me when I first thought of it, so perhaps is best left untried. But then again, if catholics can give 10 percent to God, atheists can give 10 percent to their parents, who are, after all, their creators.
If self-driving cars really take of, "just be a dumb car" won't help in a few decades. The 'driver' may not know how to drive his car, and even if he did, the car may not have a steering wheel.

Also, I guess one would press this 'I want to take control' button in an emergency. That means the persons suddenly finding themselves driving this vehicle have to be above-average drivers.