skysight-inc/HackerNews huggingface dataset:
As a user, I'd much rather Eran hold on to control until he finds 3-4 people that he absolutely trusts. Saying no to the 90% of bad ideas and non-issues is one of most difficult and disciplined tasks of maintainership of this type of project. That's coming from someone who recently opened one such non-issue (though my PR was merged to my surprise[1]).

1. https://github.com/hapijs/hapi/pull/3380
I recall seeing a timelapse video of it being constructed, here's one http://arstechnica.com/cars/2016/09/ox-flat-pack-truck/
Dupe, and blogspam of

http://motherboard.vice.com/read/harris-imsi-catcher-picture...
DIY in PHP http://php.net/manual/en/function.pspell-suggest.php
FDA approves Phase 3 trials for MDMA in the treatment of PTSD
This article seems to me a self reassuring post written by the author after he suffered himself the JS fatigue.
Aspose Introduces New C++ APIs: Create, Edit and Convert XLS, XLSX Spreadsheets
Can you clarify the difference between your first and second statement? Isn't replacing Ops with code just automating Ops work?
I never had a problem with Flash games and I haven't heard it many others. Flash games and Flash animation were casualties lost when it fell out of favor.

What I hated with a passion is seeing a progress bar and warning to updates Flash so I could look at the hours for a restaurant down the street. It would also hijack copy/paste and other shortcut keys to switch windows or close the window. I would also hear my CPU fan spin up and battery life drop because I left it open in another browser tab.

When CSS and Javascript started doing things Flash used to do I sighed because while I can use a Flash blocker, I can't do the same for CSS/Javascript.
You should use the -delete predicate/arg to find to delete things if your find has it.

To avoid race conditions.
I understanding the right blend of what people think they want and what they need is a powerful thing. I imagine it varies based on the problem domain/market.
You're replying to kyledrake, correct?
Cortex-A, Cortex-M, Cortex-R have different targets, ISA, System organization as far back as their origination. Not sure why you'd compare them, I was obviously talking about processors within the same segment, Cortex-R7 is backwards compatible with previous versions, Cortex-A72 is backwards compatible with previous versions, Cortex-M3 is backwards compatible with previous versions.
Not necessarily. They could still be pushing meaningful changes upstream even if they have forked the project (I have no idea if they've forked or not).
I'd love to be at the pitch meeting at Time Warner, Comcast, or Verizon, where one of the execs says, "Look, we all know controlling the infrastructure is a suckers game, and the real money is in blackmail."

"Right, brilliant thinking Ted. What about profitability?"

"Well, we'd have to do this to a lot of customers to make it worthwhile, since our annual revenues dwarf what most people could pay. I'd say roughly 30% of our customers should be sufficient for a trial period though. But once we get the system down, I'm sure we'll reap economies of scale, and claim a lot of first mover advantages."

"Oh, but is there a risk that some customers might be turned off by the new blackmail feature? Would retention become a problem?"

"Doubtless no. Once they realize any ISP can blackmail them, they'll hardly want to tell any other ISP what they're up to. I have a feeling this will make them customers for life."

"Sounds great Ted. Have you even found any downside risks? I can hardly imagine any."

"Well, if just one of our third of customers tells the police, we'll probably all go to jail and our company will be destroyed by the scandal."

"Is that all?"

"The class action lawsuits, but legal is still working out projections there, so it's probably not a serious consideration."

"Well that's easy Ted, we just need to convince people not to tell the police. What's your plan for that?"

"That's the beauty, sir. Once we're experts at blackmail, we can convince people to do whatever we want just with more blackmail. It would definitely be a core competency at that stage."
Intellectual property stolen from Zynga? Oh, the irony!
Don't the LLVs that the US postal service uses have flat sides? Similarly for UPS trucks and the containers that eighteen wheelers haul. Seems pretty normal to me.
If you don't take the money, they can't tell you what to do
Machine learning, specifically deep neural networks, are missing something rather significant as a science: some sort of universal, underlying, fundamental theorem that explains neural network topographies. Physics have laws of motion, for example. Neural nets are still "twiddle these values and see what happens" -- that kind of science represents more than a small number of papers.

This paper suggests that there is a close relationship ("one-to-one mapping") between neural networks and something in physics called variational renormalization groups. They say:

> RG plays a central role in our modern understanding of statistical physics and quantum field theory. A central finding of RG is that the long distance physics of many disparate physical systems are dominated by the same long distance fixed points. This gives rise to the idea of universality – many microscopically dissimilar systems exhibit macroscopically similar properties at long distances Physicists have developed elaborate technical machinery for exploiting fixed points and universality to identify the salient long distance features of physics systems. It will be interesting to see, what, if any of this more complex machinery can be imported to deep learning.

If we can grasp some theory underpinning neural networks, the science of machine learning will be less "let's try this topography/architecture and see what happens" and will be more of "if we add a layer of this size in this part of the network, we will expect these results, or results to change in <specific way>".

Anyway, maybe physics can teach us something about neural networks.
Probably not what you're looking for, but there's a project to emulate the macOS Touch Bar on an iPad over here:

https://github.com/bikkelbroeders/TouchBarDemoApp
Try to look past the typos, they are plenty and quite annoying.
Why register at all?
There's really only a small set of use cases that should actually benefit from this. The vast majority of organizations simply need to use IAM users, which many don't.
A lot of people are focusing on the mechanics, but it seems like humans don't generate body parts just like cells don't generate organelles. The entity is not _meant_ to exist by itself, but form a cohesive living group.

A cell doesn't need to repair itself, it can simply clone itself and then die. A human being doesn't need to regenerate itself because it can reproduce and be cleared away. Evolution evolved to ensure the survival of the species, not the individual.

The human being is constantly generating itself by multiplying cells. Similarly, the species is constantly generating itself by multiplying individuals.
They say: don't worry! Jobs taken by AI will be replaced by new ones yet to be invented.

Right.
It looks like the process of building apps is far simpler on Sailfish, and linux-like.

https://sailfishos.org/develop/tutorials/creating-applicatio...

I tried fiddling with Android, but the soft lock-in to Java, IDEs wasn't particularly exciting.
Perhaps I'm wrong, but isn't this how scientists regrow organs? The matrix is used as the structure which gets implanted with the person's stem cells which activates growth. In the end the organ isn't even rejected by the body. However, growing limbs out of the same material is just mind-bending.
The American City Is a Machine That Kills Fascism
There's a sample excerpt containing a few chapters: http://haskellbook.com/assets/img/sample.pdf .
Does anybody know the background of this site? It appears to exist solely as free, relatively high quality hosting for studio releases. What are the studios getting out of this? Is this site running legal content? What is the revenue model?
See my blog:
https://charlesmartin14.wordpress.com/2015/04/01/why-deep-le...

I try to highlight the paper and some of the history and relevance, in a general way, but also hitting the math hard.

the more general idea, which I am still formulating, is that DL systems are very different from traditional ML (ala VC theory)

In traditional ML systems, we tune the regularizer to optimize the capacity of the learner

In deep learning, we would optimize both the capacity (entropy) of the learner, and the optimization problem (energy function)

This is also what happens in the stat mech of protein folding, where the energy is optimized, even when we are at minimum capacity. This gives rise to a funneled energy landscape

https://charlesmartin14.wordpress.com/2015/03/25/why-does-de...

Similar behavior is seen generally in stat mech near a critical point, and this is why the RG analogy is relevant for me.

We should be able to see this behavior if we simply plot the entropy vs energy of say an RBM. Im not entirely sure yet how general this is, but it works for MNIST.

I discuss (some of) this in more detail in a video from a talk I gave this summer at MMDS
https://www.youtube.com/watch?v=kIbKHIPbxiU
This is not about being smart. This is mostly about low defect rate and ease of modification and maintenance.

Hopefully the smarter bits van be factored out as easier-to-use libraries.
Webassembly initial steps tutorial or how to start with wasm
Context: https://cloud.google.com/resource-manager/docs/creating-mana...
thank the maker!!
Maybe in places that started well: I have no doubt that there have always been people out there that were doing system administration and could code.

The places where I have seen DevOps become popular are those that completely separated programming keeping servers running, and where the people keeping said servers running were incapable of doing even mild automation. Places where rebooting a non-db server requires making a request 3 weeks in advance, and being OK with 4 hours of downtime.

In those environments, those people that are called system administrators are very low productivity, can't help you with a performance problem if their life depends on them, and are easily replaceable with shell scripts. It's in those environments where DevOps and enterprise cloud migrations are popular: The developers might not be experts in scalability or in getting great uptime, but at least they can get something done. Ultimately this gives management an excuse to lay off all the sysadmins that don't know what /proc is, and make technical decisions based on Gartner reports.

Again, that doesn't mean that everyone that has the title of sysadmin in the world can't code or is unproductive: This is not a judgement on the value of a good SA. I am just trying to open a window to a world that many developers get to see, but few good SAs notice, because there's no way in hell a good SA would work in said companies for long.
Nonsense on stilts. Extrapolating $3500 in your first week of media-driven traffic into a $15k/mo run rate is ridiculous. Calling it "AI-powered" is a whopper too.
Some complaints about this list:

1. This list is very Haskell-focused: it includes lots of features which only make sense in Haskell or very Haskell-like languages, and lacks mention of many interesting functional programming concepts which don't appear in Haskell (like ML-style modules and functors, row types, macro systems and homoiconicity, and so forth.) There are a lot of functional languages which have very different ideas about how to program, and this list doesn't reflect that.

2. Some of the 'skill hierarchy' choices feel a bit confused and arbitrary. For example, 'Use lenses & prisms to manipulate data' appears as a Competent skill, but 'Use optics to manipulate state' appears as a Proficient skill, despite being slightly different ways to refer to an effectively identical skill. (I assume the latter means "…use lenses & prisms to manipulate data, but in a state monad," which is only a tiny difference.)

3. While I like the idea of a list of a road-map to learning, I feel like this gives the unfortunate impression that many of these are obligatory skills. It calls itself a "standard" hierarchy (which makes it sound like a consensus, rather than just a single person/group's opinion) and has language like "…skills that developers must master on their journey…" (emphasis mine), but the list includes a lot of things that are far from necessary for deeply understanding functional programming. You could lead a long (academic or industry) career in functional programming without a deep understanding of many concepts listed: things like comonads, recursion schemes, finally tagless interpreters, higher-order abstract syntax, and so forth. All of them are useful concepts and deserve study, but you can definitely be a functional programming expert without ever having seen a comonad.

In many ways, I wish this list took a cue from Benjamin Pierce's Types and Programming Languages which features not an ordered list but a graph of the concepts related in the book, and how they relate to other concepts. It would be more complicated, true, but also a lot more honest about the academic and intellectual path you might want to take through functional programming, and without giving the idea that you need to master the vagaries of dozens of Oleg Kiselyov's papers just to be "competent" in functional programming.
> Trump had the same number of Republicans voting for him as did Mitt Romney

Was voting republican in california in 2012 any less of a waste?
One vote shy of being veto-proof, 60-day cap on Airbnb approved in SF
Never spend more than 37% – the golden rule of security spending
This is very much not my area of physics (I worked in condensed matter), but from what I know I'm not seeing anything which looks outrageously implausible.

I think the intuition is something like this, and I'm going to be really informal here so please indulge me while I have a go at the pop-science version (and experts, please correct me!)

One of the ways deep learning is useful, compared to other feature extraction schemes, is that (in most formulations) it's a multi-scale method (it learns features at various length scales from very short to very long, specifically as you ascend/descend layers in the network).

The renormalization group is a mathematical framework for reasoning about how physics changes between length scales. Very informally, the hardest unsolved problem in physics is building a single theory which works for both the very short and the very big – very big problems (astrophysics) have an effective theory in the form of general relativity, very very short length scales have effective theory in the form of quantum field theory (basically all of modern particle physics), and the rest of physics (e.g. quantum mechanics, which from a purely theoretical perspective just is the entirety of chemistry and materials science...) is likewise somewhere in between on the great cosmic measuring stick.

So far so Powers of Ten, right?

The challenge is building a mathematical structure for transforming between these length scales in such a way as to have a coherent single theory which works for all of them. This is what people mean when they talk about "unification" in physics. The best mathematical framework we have for that thus far is the renormalization group.

So this paper – which I have no more than skimmed – purports to show that these two mathematical structures are (in some deep sense) more or less the same shape, which would make sense given that the problems they are solving are the same kind of shape (making sense of something at a range of length scales).

So it could be wrong, but it's not obviously misguided. Is it useful? In terms of practical machine learning applications right now, probably not (and ditto, but more strongly, in terms of theoretical physics). But if it means a bunch of mathematical techniques worked out in one domain can be ported over to the other (in practice, from particle physics to analyzing deep neural networks), that'd be useful!
Let's talk about how much Amazon will charge you for 600 instances a year...
International relations can largely be described as honor among thieves.
Adblock Plus wins its 6th court case
After thinking about this, I agree with your point, but it's past me being able to edit my original comment to address this issue there.

OK, now you have an IP. Now what? You get a warrant and search the place. What do you find? A computer, maybe an amnesic virtual machine. No actual access to the website/onion in question. IMO Tails promotes better opsec when using Tor - you don't leave any traces behind of your browsing activity, and you can't gain persistence on the victim without a sandbox escape, since the Tails VM wipes itself. It is still a defense, but maybe not a good enough one.
One time pads for encryption(Vernor Vinge's "A Fire Upon the Deep").
you dont need to setup local stack if your code doesnt use stack
Thanks. If you could say more about that, please do. Abstracting from 'The exact functionality is unknown but it's getting access to "VirtualAlloc" in "kernel32.dll" and goes from there.' to Linux etc is over my head.
I don't see what I conceded exactly? The post I responded to claimed that reddit was claiming to be about free speech when spez has openly stated on many occasions that it wasn't originally and isn't now and that it only became more open to it because they were lazing about policing. That has nothing to do with my other statements nor does it contradict any of them.
Please read this :

Should I intern at Google or Jane Street?
https://www.quora.com/Should-I-intern-at-Google-or-Jane-Stre...

It helps me a lot.
The shellcode is Windows specific, but the bug is in Firefox. It is possible there is something server side sending the proper code depending on the user agent.
Yes! the term "Qi" is just another way to denote the organizational electric energies our bodies use to orchestrate cellular function. This video does a way better job at describing it:
https://vimeo.com/154294365 (2 minutes)
VC Money
That would be quite a circle, given that Wikipedia was inspired by GNUhoo / NewHoo / ODP, which was the first crowd-sourced Internet thing.

The Internet Archive uses blekko's slashtag data, which is a commercial effort founded by the ODP team -- blekko, now owned by IBM Watson.
Total AV Antivirus Coupon Code 2016 Crack Free Download
Oh, the UK completely fucked over Ireland, there's little doubt about that, despite legally being in a far better place than the colonies (they actually had representation, most obviously) they practically weren't.

The question is whether bloodshed was inevitable in the path to independence, and I don't think it's reasonable to call the actions of the state bloodshed on that path except when it was in direct suppression of it (and I don't think there was any of that prior to the Easter Rising, unless one considers the rebellion of 1798 when Ireland was still legally a separate country, though had had the same ruler as England since the 12th century, albeit with a separate political structure).

Certainly the blood on the UK's hands led to many of the calls for independence, but if independence had been granted in, e.g., 1886 (i.e., the First Home Rule Bill) would it be freedom through bloodshed, or would it be freedom through wanting to do better yourselves? I'd definitely say the latter.
By Poe's Law, you might need to call out the sarcasm for some readers here.
Airbnb opensources Superset – slice and dice analytics for your DB
He explains it as if the project only costs him money. However, it also helps build his resime/image, which may contribute to him being able to ask such a high rate ($250/hour).
Sweet ! I didn't realize Intex was making phones with Sailfish. This looks like a cheap alternative to the much loved Nokia N9.

(https://www.flipkart.com/intex-aqua-fish-orange-16-gb/p/itme...)
> I've been a designer for 12 years or so

...

> Firefox is not supported. We recommend using chrome.

'Best viewed in Netscape Navigator at 800x600'
Maybe those companies don't need continued development? If it's already a critical piece of their infrastructure that must mean it's at least good enough (and probably better). And if things blowup, or a "must have" feature is identified then they can always pay Eran his hourly rate to get what they want when they want.
Regenerating body parts doesn't happen because it is hugely expensive in terms of biochemical resources. Teeth are the most materially expensive parts of the human body. That is why teeth are often the most long lasting and best preserved human remains.
Why didn't you just pass one element list with your class with it, for example:

class MyClass:
pass

class_list = [MyClass]
third_party_function(class_list)
# or just
third_party_function([MyClass])

?

creating some simple wrapper for third party function, e.g.

def wrapper(C):
third_party_function([C])

could also be much simpler solution :)

But it's maybe off topic.
Great writeup! Btw what tool did you use to make the merge diagrams?
If ISPs are not bound to CC laws and refuse to carry traffic from your web server, you don't really have much of a website, do you?
Great idea! I use Google so often for "anycomplete". Created similar extension for Alfred https://github.com/outcoldman/alfred-anycomplete
Every school should have a guide like this for every major.
This is why you should watch all the different kinds.
i can hardly imagine in what situation i would register an account on such sites using a cooperate email address... I mean, not only that i would expect those to be property of my employer (including mails sent and received that is) and thus potentially monitored for whatever reasons but i would also fear to get their brand into a situation like this.

I wonder if these people never considered to have a separate private mail address and what might be the reason for that.
No offense taken ;) You're spot on about needing a solid and scalable backend; it’s more than 'nice graphs'. We think Grafana is a great piece in the chain to start with. We're trying to put as much momentum behind it as our burgeoning company will support.

The alerting in v4.0 is just the beginning. Torkel and the team have tried to optimize for the “relatively simple" 80% of alert use cases.

We are fans of other, more sophisticated open source alerting tools like Bosun, and you can be sure that we'll be both improving our alerting capabilities in 4.x
Secret “Super Search Engine” Amasses Trillions of Phone Records for Decades
thanks for the valuable insight :) I haven't looked at it this way.
The paper is pretty simple. It just shows that Hinton's scheme for introducing hidden variables, and then minimizing, is a type of variational RG, introduced by Kadanoff 10 years earlier

Beyond that, the analogy is not very strong, IMHO. But it is cool.
I'm talking more of the 250-500 HP range tractor which generally cost more than a house.
What you say is true but hardly comparable. Those are open systems where users can mix and match speakers with different amplifiers. In closed systems there is definitely a expectation that they are a tad more idiot proof.
Yes, and a curriculum, and textbooks that contain everything you need to know for finals!
You're confusing archiving and public access. Most archives don't have public access to all of their materials.
It is basically impossible to fully anonymize a browser as long as JavaScript+plugins are running. EFF's Panopticlick [1] and browserleaks [2] are good at explaining some of these fingerprinting vectors.

[1] https://panopticlick.eff.org/

[2] http://browserleaks.com/
Ask HN: What are your favorite books you've read this year
What's up with all these major guides
Needs some metriculation /s
Instead of trying to become a programmer by getting experience by getting hired, try becoming a programmer to get experience to get hired.