skysight-inc/HackerNews huggingface dataset:
Multivariate linear binary classification
Show HN: Svg2Shenzhen
Hi HN peeps, i want to share my inkscape extension i've been working on, it is useful for creating PCB Art with inkscape and kicad

this extension will automate the process of importing board shapes into kicad pcb

https://github.com/badgeek/svg2shenzhen-next
Except that that toy example bears no resemblance to the actual situation.
Here's the math:
http://web.itu.edu.tr/~halit/Makel/Ch_9_slides_m.pdf

The PDF is an excerpt from Shingley's mechanical engineering design textbook. It's is considered to be one of the Mech E bibles.
If you like buying random interesting books, buy it.

Food for thought:
Most welding applications that "normal" people would do would experience forces that range from 1lb to 2000lbs. (This a bad assumption, but whatever)
If you actually do the math, it's even a small weld bead would have the strength of several hundred pounds force.

Another general rule of thumb is that the base material will fail before the actual weld, if done properly.

The easiest way to mitigate the risk, is to weld the entire seam, but you risking warping your part.

The other thing is making sure you have full weld penetration when doing the weld.
Penetration is affected by a multitude of parameters(amps, speed, technique), easy way to check is to look at the backside of the weld. Harder way is too cut a cross section at the weld. Or if you're going to ball hard. X-ray it.
I've read the article and the piece that stands out to me is the inherent conflict of interest career-wise that women routinely face, regardless of age.

These girls contacted him hoping to further their careers and were surprised he responded at all. He did further their ambitions for a time, though at a cost because of his sexual interest in them.

But this is not an issue girls age out of because the problem is not specific to men whose sexual preference is underage girls. This issue can come up for any female seeking career advancement by connecting to a powerful man who happens to not be gay.
Of course it's a bummer. Reading about sexual abusers getting away with same is always a bummer. But remember that this heads-in-the-sand attitude of I'd-rather-not-find-out is how these people get away with it in the first place. It's how Catholic priests continue to prey upon their own communities.

In short, don't shoot the messenger.
RIP giraffes! Here is a link to a zoo livestream showing giraffes:
https://2no.co/1QyvB6
What do you mean by probabilistic? If you mean that the models takes input and outputs one or more labeled probabilities (e.g. “90% confidence the input photo is a dog, 10% confidence the input photo is a cat), then yes, I believe that many AI systems work this way. If you mean random, in the sense that the system may return different results given the exact same inputs, then in not sure if there are AI systems that work that way.
I guess it's a matter of taste whether you converge your familiar environment around the OS or your primary tools. I tend to do the latter (keeping IntelliJ, emacs, Chrome & shell use more-or-less consistent across platforms). I have more faith in my ongoing relationship with those tools than with a particular OS.
Distense development update
> the actual goal was community and not making money off people

How can they sustain the website without making money?
What is the biological property of 3am to you? Is it a particular time of darkness? Is it a set point of time after you have woken up? What happens when you travel to a different time zone, do you adapt?
> But if the resulting model doesn't contain information about individuals, how does this help targeting individuals for the campaign?

I don't know exactly what they were modeling, but from the published reports, it sounds like they were trying to predict big 5 personality characteristics (conscientousness, neuroticism, openness, extraversion, agreeableness) from FB profile data (e.g. likes, dislikes, bio, post content, etc.). So in that case, the model would contain weights that measure the strength of relationship between characteristics like "likes punk rock music" and "openness". That description really only literally applies to a linear model - but nonlinear models are, for these purposes, the same.
I think you're reading something into that quote that isn't there. They may have meant that he doesn't deserve to be celebrated, though he may be a pioneer.
I feel like list comprehensions have always been emphasized as an important part of writing idiomatic Python. And as Python added more constructs in that vein (generator expressions, dict and set comprehensions) the tutorials people used didn't really keep up.

In the same way, map and filter were often covered, but not always with an explanation of the style of programming they supported, or why that style could be useful. I do remember the original Dive Into Python did a good job of this, and of encouraging people to explore a more functional style, but I don't recall many other resources, at least from the (2004-ish) era when I was first learning Python, doing that.

As a result I have to be a bit careful these days; I still use Python's more functional constructs regularly, but I've learned to go easy on them when collaborating with others, since I know a lot of people who learn Python now are using materials that mostly only touch on list comprehensions.
If you have a probability vector, you would typically take the max, not model the action on the probability distribution.

e.g. If an image (from the forward camera) returns the probability vector:
{"stop_sign": .9, "green_light": .1}
You stop the car 10/10 times.
Did you even read the article? It’s about biological circadian rhythms.
Very interesting article but I wish it went one step further. Why does it matter that cambridge analytica knew a user's big five or that they were an old, uneducated republican? How was this (inferred) data used?

I assume they wrote/created different ads for different sets of users... but how many segments did they have? Did their graphic designer build 500 different ads, or was text/images dynamically inserted based on these variables? How did they figure out which message would resonate with each segment? How did they test something like this, with so many potential variables? Was this knowledge used only on facebook, or across all digital channels? Was it implemented in non-digital channels as well?

I'd kill to have access to their campaign set ups.
Would you imagine that instead of browsing records in a shop or even listening to radio all you and your friends have is the same mixtape copied over and over again? Sounds weird, but that's how software distributed from 80s well into mid-00s in Russia.

You didn't get particular products, you got a disk with "all the good bits" according to someone. Somehow Norton Commander ended up in the list at some point, so it instantly became a default and nobody knew anything better. Every DOS computer in 90s Russia booted right into NC, or its Russian clone VC.
the powerful person understood the talent and capability of the less powerful. The mentoring was good.

Except Katie Rice can never really be sure whether Kricfalusi took interest in her because of her raw talent, or because she was a very young girl who looked up to him.

In this specific aspect, I see parallels to the situation with Dan Harmon and Megan Ganz. Ganz was an adult, but there was a huge power dynamic at play in their professional relationship. While Harmon was interested in her romantically, he praised her work. Once she made it clear she wasn't interested, he became his (usual) caustic, over-critical self. And with that came a lot of doubt as to which was the truth.

Would Kricfalusi have done the same if he weren't interested in her that way? The women here will never truly know, and that can add salt to the wounds.
I don't see what's wrong with what they wrote. This statement of course doesn't show that the software is safe, but it is evidence that if there is a bug, it probably isn't easily triggered.

(Keep in mind that until they recover the logs, we don't even know if the autopilot was on.)
Don't be naive

http://www.bbc.com/news/world-43476762
In at least some percentage of cases: https://en.wikipedia.org/wiki/Delayed_sleep_phase_disorder Not everyone is like you.
Probably because there is one Firebase team and one Google Cloud Other Stuff team and the teams just make different things.
Maybe not DSLR Killer, but the image quality is pretty good on latest iphones and pixel used with apps like filmic pro - check out some of the clips in this Peter McKinnon video.
https://www.youtube.com/watch?v=trWaTnvG-Gk

I think this opens up opportunities for great photography and cinematography at an affordable price, which can only be a good thing.
Wrestler Spits at girl, DAD rages
I was initially skeptical about the n log(n), but the arguments are persuasive. Specifically about not all connections being worth the same. That they follow Zipf's law specifically is a minor point I think, the overall shape seems right.
So, is it issue? If so, please, report it for developer on Github[0]

Or you know how to fix it? Then just pull[1] it to 'master' ;-)

[0] https://github.com/ShivamSarodia/ShivyC/issues

[1] https://github.com/ShivamSarodia/ShivyC/pulls
Thoughts on Rust, a few thousand lines in
Since it just came up again yesterday, it's worth noting that the term "compiled language" is a tricky one to use here:

https://nedbatchelder.com//blog/201803/is_python_interpreted...

So: is Python compiled? Yes. Is Python interpreted? Yes. Sorry, the world is complicated...
It's not a word game; it's progressed into forcing the OP into clarifying why disenfranchisement can be such an atrocity but not "hurting" in any relevant sense, or (if I understand you) why all non-physical crimes should have some really low cap on punishment. Seems like progress to me, and unlike a word game.
Sidestepping the actual open-source issue, from a morning's use I think you've done a wonderful job with Marta. I'll be more than happy to pay for it when the time comes.
Can you explain what is incoherent in thinking that in times where you can't survive unless you're mostly physically fit enough to do so without medical intervention? I understand that most physically fit will be an outlier, but my point is that the average fitness would have been better because of more fierce natural selection due to lack of medicine.

I'm genuinely interested in hearing criticisms about this hypothesis since it's been brewing in my head for a while and I figured the best way to test it is to put under some form of peer-review.
You sure are condescending for someone that doesn't include citations.
iXSystems does have min/max configuration prices on their website for the TrueNAS systems. If they took forever or wanted to get into NDAs for pricing that would be one thing, but if I wanted to specify the exact parts in my servers rather than tell the vendor what I need it to do and have them take care of the rest.. Dell will let me do that without talking to a salesperson, but how in Cthulhu's name am I supposed to pick from the twelve bazillion CPUs Intel is offering?
Since the source data was deleted - according to current standards and policies - their hands are probably technically clean. But there may be another angle of attack.

In the US, you're not allowed to benefit directly from a crime you committed. For example, if you rob a bank, you can't buy your mother a car with the money and say "sorry, it's gone!" when the police come knocking.

With that line of reasoning and if there was a legal, privacy, or at least a TOS breach in collecting the data, the derivative machine learning models may be tainted also. Then again, it's likely impossible to prove exactly what data went into the model, so hard to establish which models might be tainted.
Basically this is a reasonable idea for transport fuels. Sunlight gives you 1000 W/m², or 160 W/m² at 16% photovoltaic efficiency. A Boeing 777 has a surface area on top of something under 1000 m², and so if you cover it with solar panels, you get 160 kW when the sun is shining directly on it. But its engines produce somewhere between 700 and 1100 kN at a cruising speed of 900 kph, or 250 m/s, which if you work it out means it would need 175–275 MW if the engines are 100% efficient, a bit over 1000 times what it can gather from the sun. (A bit less since it's not running the engines at full power when it's cruising, but a lot more when you take into account that the engines are quite inefficient.)

There are ways you can design the plane to use less power, and Solar Impulse 2 demonstrated that it is in fact possible to fly on solar power alone, but Solar Impulse 2 also took 23 days to go around the world, has a maximum speed of 140 km/h, and has a maximum passenger capacity of 1, rather than a few hundred. Design compromises like these are necessary to lower the power intensity of flight to a solar-feasible level. So, it's likely that liquid-fueled aircraft (the 777 burns kerosene) will continue to have substantial advantages over solar aircraft for the foreseeable future.

The obvious solution is to use some 10⁸ m² of area on the ground — something like a 10 km by 10 km square for each 777 in flight — to generate electricity to produce the liquid fuels for the liquid-fueled aircraft. That sounds like a ridiculous thing to do, building a city-sized solar plant for a single airplane, and today it would be — the photovoltaic modules would cost US$5 billion and installing them would cost another US$5 billion, for a total of US$10 billion. The entire Boeing 777 development cost was only US$5 billion, and each plane sells for US$300M or so. So the cost of the power plant would be something like 30× as high as the cost of the airplanes themselves.

From an exponential point of view, though, that's only 5 doublings. If the price-performance of photovoltaic modules improves by a factor of 2 five times, the power plant falls to the cost of the plane. If PV modules continue dropping in price by 30% per year, as they have been for the last four years or so, that crossover happens in 2028; if they continue dropping in price by 20% per year, as they have been over a somewhat longer period, it happens in 2033. It's only in a scenario where PV modules effectively stop dropping in price where this remains a ridiculous idea.

The same logic applies, but in a weaker form and a nearer crossover, for other challenging transport fuel uses such as ships and trucking.
Fuelling the future
Note the study refers to “airplane accidents,” not “plane crashes.” I suspect that the vast majority of the airplane accidents included in the denominator wouldn’t be described by the vast majority of people as “plane crashes.”
NTRU: Cryptography in Post Quantum Computing World
Misaligned sensor?
DSLRs (and m43, mirrorless, etc.) aren't just about image quality, but creative control.

I see no way an iPhone is going to let me quickly choose an aperture, shutter speed, and ISO.
From Page:

A working, full-scale quantum computer running the process known as “Shor’s algorithm” would be able to break RSA or ECC of any practical size in negligible time. In contrast, NTRU’s security is reduced only slightly by quantum computers.
How does something like this event happen? Pokémon Go was huge, and I’d just expect that Niantic would have hired competent organizers. 20,000 pissed off people has a huge negative word-of-mouth potential, and it’s not like they had to have this thing in the first place.

Anyone with experience in this world, how does a big company miss the boat so hard?
An Ethereum testnet account is sending tons of ether to itself
The reason I made this was that I noticed Mask R-CNN’s masking and object identification capabilities were pretty good and I needed a refresher on Python-based image manipulation. https://twitter.com/minimaxir/status/976277067070300160?s=21

And then I remembered Black Mirror and it gave me an idea.

The step toward dystopia was not the primary motivation for this project.
So and how about the people who would like to have the mentally intense stuff early in the morning? For example, I have the clearest mind about 5 minutes after I got out of bed.
shep! you forgot map_on_vec's return type. Thanks for writing the comment though, I was just about to point out Fn
The road to hell is paved with good intentions. And I think software engineers are this century's key perpetrators of "good intentions." Here's a hint: if you saw it in a dystopic thriller you probably don't need to build it, even out of morbid curiosity.
It's possible that some of those "200 successful Autopilot trips per day on this exact stretch of road" also involve pulling toward that barrier. However, it's not likely a huge percentage, or we'd have seen that posted. So the implication is that his Tesla was relatively unique. That is, broken.
Do u the source for custom-short-name on GitHub somewhere?
Build a Dating Web App in Minutes (Open Source)
Show HN: ipscrub, an IP address anonymizer for Nginx
I don't know, is it? That's kinda how stuff was distributed in Germany back in the days. At least I think, I don't quite remember in detail what was on those disks. Although I don't remember any computer booting straight into nc

Was it that much different in the US?
Erdos-Renyi random graphs aren't mentioned probably because they hold almost no relevance to social graphs and networks, like the ones being addressed by Metcalfe's and Zipf's law. Erdos-Renyi random graphs have a Gaussian degree distribution (or maybe Poissonian degree distribution) [1] which effectively makes the number of edges a proportion of the number of vertices with a narrow band of variation as a result of the finite variance. Social networks tend to have some type of power law or "long tailness" to them, giving them unbounded variance of degree and often giving them unbounded mean degree [2] [3].

Another way to say this is Erdos-Renyi random graphs are not long tailed, power law degree distributed or scale free, which Metcalf's law and Zipf distributions address in one form or another.

[1] https://en.wikipedia.org/wiki/Erd%C5%91s%E2%80%93R%C3%A9nyi_...

[2] https://en.wikipedia.org/wiki/Long_tail

[3] https://en.wikipedia.org/wiki/Stable_distribution
In my opinion what it would absolutely require is a 2-syllable, easy to remember, brandable, minimally SEO contested, .com domain

I realise that's not all it would take but so far I haven't seen any social network[1] without that succeed. It's some severe survivorship bias but I think it's probably a ground floor requirement

The real answer is that the person or people that have the secret sauce don't know they have the answer and are already working on it without knowing it'll be the next big social network. We'll find out in a few years if they don't give up on it

[1] The full fat social networks where you have all of your friends, not ones that target a smaller segment of the pie (e.g pictures - Instagram)
I do think that the most significant components of a personality will likely be targetable with a relatively low nuclear norm.

And, for example, where someone's proclivity on the exploration/exploitation spectrum, if you will, (IE, how strongly do they respond to fear-based messaging) falls is probably quite predictable from a spectrum of likes.

Cat pictures may be less informative, but not all of these people clicked exclusively on feline fuzzy photos.
We detached this subthread from https://news.ycombinator.com/item?id=16719973 and marked it off-topic.
Of course not. Your contrasts aren't centered on zero. Here's the right way to approach it:

set.seed(12345)
treatment = c(rep(0.5, 4), rep(-0.5, 4))
gender1 = rep(c(0.5, -0.5), 4)
gender2 = rep(c(-0.5, 0.5), 4)
result = rnorm(8)

summary(lm(result ~ treatment*gender1))
summary(lm(result ~ treatment*gender2))

Now the two are identical except for the sign of the gender coefficient.
Cloudflare only publishes the prices for their lower tiers, for enterprise it's "Contact Us".
We have different definitions of clever. Using iterator combinators is pretty par for the course and sort of a minimum understanding I would expect anyone to have.
There are. Monte Carlo methods is the keyword you're looking for. AlphaGo (Monte Carlo Tree Search) is an example of one such AI.

Obviously you can set the RNG seed to be the same every time too, but even that only works if your system is wholly synchronous, which a car probably isn't.

Note that I doubt Monte Carlo methods are common in the autonomous vehicle space.
Right. But perhaps it would be better to just detach this subthread. I've done that.
The average fitness only increases while the species' environmental is stable. Humans are a famously migratory species that also compulsively reshapes it's environment. (see also: non-human species in human dominated environments experiencing accelerated evolution)
Microsoft Is Ready for a World Beyond Windows
Hindus are less likely to use a toilet than Muslims in India
There's an old rhyme about that:

"He was right, dead right, as he drove along, but he's just as dead as if he were wrong."
New, Free E-books Available about 2 Famous NASA Space Telescopes (Hubble, Webb)
I can't speak for OP but I think they are just differentiating between languages that produce an executable binary versus one that is interpreted/runs in a VM/is compiled to bytecode/whatever else
And how is that relevant to HackerNews?
because we invented cars. And a few other things.
The Best Wall Lamps
:+1: lgtm
John Kricfalusi's blog is a treasure trove for anyone willing to learn the ropes of animation and cartooning. It's one of the most fascinating blogs I've ever come across, even though I didn't like the style of Ren & Stimpy. He sounds like a very passionate, skillful and opinionated teacher.

> course http://johnkcurriculum.blogspot.com/

> posts http://johnkstuff.blogspot.com/
brain.js if I remember correctly is a very old project and is no longer maintained. But it was great to learn the basic ANN concepts. What I would love to see is a Node.js implementation of deep learning and ML libs (those listed above are targeted for browsers). With Node.js supporting most of es6+ features it's been a fun coding in it. Can't wait to get hands on ML with server side JavaScript as well..
Wasn't he just fired?
I can't believe this person kept using it. If I had noticed a bug in auto-pilot and complained about it, I would be way too scared to ever use auto-pilot again. Personally, I never use auto-pilot because driving is piss easy, as it's designed to be.

Perfect self-driving cars is a nearly impossible feat to accomplish in an unbounded track. I can only imagine automated driving in a system which has no room for error. Examples include: tunnels under the ground, chain links on the ground (as in trolleys, trains, etc.), or anything else that vastly reduces the entropy involved in driving.

With self-driving cars on current roads, it will probably take years to get from 1% error to .1% error, and decades to get from .1% error to .01% error, which isn't even good enough. Perhaps it will take a century or longer to develop the required artificial intelligence to make self-driving cars perfect "enough". There's just too much room for unique problems to spawn. Bounding vehicle freedom seems to be the only way forward.
It’s really just a few clicks with CloudFormation
It's a very helpful community. I used the instructions to add a 750ti to my wife's Mac Mini. It was painless, and the 3D modeling software that used to crash her computer runs great.
"Solution Architect" is a nauseating concept.