skysight-inc/HackerNews huggingface dataset:
yeah this was my main problem, I guess he is technically right because they are geometric but many of his analogies like the paper crumpling were deeply misleading as they would imply that the transformations are linear. The fact that they are not is fundamental to neural networks working.
I haven't used other mainframe solutions, but one of my favorite features of VMS is logicals. Logicals are environment variables backed by a clustered key value store that's safe to use for distributed locks. Logicals appear to your process in a hierarchy of tables that inherit from one another, by default you have: job (shell subprocess) > process (shell session) > user > group > system (node) > cluster. You can also build your own tables stored with which ever chosen locality (system, cluster, etc) in the hierarchy. Meaning if you follow "12-factor" design, well it didn't have fancy name then, you could do things change configuration cluster wide in an instant.
The public message is that "someone who has had a profound impact on YC, or HN and its members has passed away". That impact is up to the operators to decide.

Much the same way a family remembers their loved ones, but doesn't grieve every important person who has passed away irrespective of their stature. Like parent was saying, it's a little discomfiting to see this discussed on threads.
This is because a deep learning model is "just" a chain of simple, continuous geometric transformations mapping one vector space into another.

Per my understanding - Each vector space represents the full state of that layer. Which is probably why the transformations work for such vector spaces.

A sorting algorithm unfortunately cannot be modeled as a set of vector spaces each representing the full state. For instance, an intermediary state of a quick sort algorithm does not represent the full state. Even if a human was to look at that intermediary step in isolation, they will have no clue as to what that state represents. On the contrary, if you observe the visualized activations of an intermediate layer in VGG , you can understand that the layer represents some elements of an image.
Can you share the most dangerous moment you've ever been in, despite all precautions?
You are being rude and offensive and using sarcasm to insult my intelligence. If I am ever rude it's in response to your rudeness. You and I are both biased since we are participating in a hostile argument. When the third party says you're rude you're most likely being rude. Don't let bias blind you to your own actions, look at what I wrote and look at what you wrote and think carefully on whether my opinion on javascript is insulting to the language or to you personally... Than examine your sarcasm... is that a direct insult to me, or an opinion on a topic... I think the answer is fairly obvious and the answer is... you are the one being rude.
Well what are your numbers?
Services call other services in a microservice architecture. Three depths deep would mean that, there are only three network hops and no more (its strangely similar to inceptions 3 dreams deep adventure). Each network hop adds latency and a threat of failure from network layers. So usually a 3 levels deep rule is followed to keep the failure levels low, making debugging easier, time to find the culprit low, etc in a microservices architecture.
And what is the increased risk?

One of my pet peeves about science reporting (including this video) is that it treats "cancer causing" as a purely binary attribute and they never report on the measured effect. When making policy we really ought to make a distinction between something that will we believe will cause 1 new case of cancer in 1000 vs. something that will cause 10 or 50 times that many.
This is how Robots See
DynamicDNS: Ruby tool to update Route53 with your dynamic IP address
I knew Maryam was incredible the first time I heard her give a talk at Stanford. To my fellow cancer researchers out there: this is about as good motivation as we'll ever have to keep plugging along.
Cap-and-trade survives razor-thin California Senate vote
She probably could buy south of 280 in the excelsior or portola. You can still get in for less than a mil, though it's pretty tight.
considering they're the author of a python based machine learning library I would sure hope so. Still it seems like a pretty grievous oversight in writing the dang thing at all considering how at least in my fields of research memory-ful networks are increasingly popular.
"Implement a Lisp" seems to be Lisp's version of "rewrite it in Rust."
So, time's arrow can be reversed, and the model can thus extrapolate both forward and backward. Cool!

However, that doesn't actually eliminate the axis/dimension. Eliminating timestamps only makes the dimension a unitless scalar (IOW 'time' tautologically increments at a 'rate' of 'one frame per frame').
Long daily commutes in single-occupancy motor vehicles are on the short list of sources of society's greatest miseries, problems, and failures.

There are ways to make commutes meaningful, like a beautiful bike ride along the river or a couple mile walk or carpooling with friends or good podcast/audio-book/music during a drive… but even with all this, long commutes eat up so much of life. Add in the insanely massive list of ills caused by car-centric life and infrastructure…

Probably the right balance is something like working one or two days a week in an office with appropriate flexibility on how to use the space. I dunno.

Meanwhile, people should put much higher priority on living close to work, above most other considerations about where to live.
Believe it or not we got three (edit: four) panicked emails from someone claiming to be related to the project authors who thought it would be a nice surprise to 'help' them out on HN this way. I believed her and told her to let them know they could repost in a few weeks, so long as there would be no more 'help'.

Actually this sort of obvious voting ring is the least of our worries; at this point it basically never has any effect other than grumpy comments by HN users who easily see through it, and often the culprits turn out to be people who are actually doing good work and are clueless about how to promote it, i.e. people much like the rest of us. Why they don't simply post it to HN with a description of why it's interesting is beyond me.
"this is about as good motivation as we'll ever have to keep plugging along."

So, other people dying of cancer not as good motivation?
He doesn't even have to buy a single coin. He can just buy a fraction for $500,000 if you want to be technical.
I understand as much as is to be expected after looking at someone else's (Google's) huge software stack in an area that is not my specialization (networking). My only tip is to not actually worry about grasping everything at first and just start to build up lists of facts and associations (e.g. "Espresso is a networking stack to do routing over the public Internet", "Espresso pulls the routing intelligence outside of individual routers into a server pool"). With time and after studying more of the conceptual background, everything starts to make sense typically.

There are definitely some Googlisms or something being thrown around though. Can anyone tell me what a "hypercaler" is?
Compare and contrast with Mona, by James Taylor. Superficially similar subject, but very different effect. E. B. White certainly could make every word tell.
Great list!

Honestly, I think my issues are more about being self-employed than about office vs home. If I just went to my own office away from home and worked alone, that wouldn't change everything. If I had set hours that I knew coworkers were online and we interacted in ways that focused on all of us helping one another maximize productivity, that set up would work well even at home.
Even if it wasn't erysipelas, they didn't know what it was. Eating the pig could've been fine if they at least were able to tell what is it that it had and whether it was infectious or not.

Eating animals whose cause of death is unknown is usually not a sound decision.
I presented (a vulgar summary of) McCulloch's hypothesis, not my own. And since I didn't use the words "quite well", you are not entitled to put them in quotes.
Should I learn swift if I want to go this route? Or should I focus on something like ReactNative or something else entirely?
It's extremely high level and vague presumably by intention. If you don't have a grounding in networking, BGP, traffic engineering (MPLS, SR, related concepts), you won't be able to make out much about it. If you do, you'll just infer that they're doing a form of "egress peer engineering". On top of that it sounds like they're potentially using whitebox switches at the edge and terminating BGP peering sessions on servers which are programming the forwarding state on these white boxes.
They have to respond by law; even if it takes 18 months and dragging then through the AAT - and the response will be fuel for ridicule if it (predictably) refuses in the grounds of being too hard
Holy crap.
I've seen people getting hard looks for even suggesting the project's team should stay after the 8 hours shift.
Only once a manager asked me to stay, very dreaded and saying he was really sorry he had to ask me that all the time. And they paid me twice the time I've been there and my performance review skyrocketed because I came in when I didn't need to.

But I make about 15k USD (if converting currencies) so there's that haha.
Game producer:

Unity, Sourcetree, Trello, Sketch.app, Apple Notes
So I am trying to undesrstand what her work was about. It seems fields medal was for "the dynamics and geometry of Riemann surfaces and their moduli spaces" (my emphasis).

What is dynamics to a geometer? Clearly it is important -- because it is important in physics. But I want to understand what mathematicians are getting excited about.

We can talk about a family of geometrical objects foo(t) where the parameter t is a single real value, which stands in for time. But -- other than its relation to the physical world -- why is that $t$ parametrisation important? Why not complex parameters, or multiple parameters, or something completely different?
How did you end up getting that rate?
According to this[1] Facebook has 17,048 at Dec 2016. So it's more than what Uber has but not by that much. Good point about the local ops people Uber needs.

[1] https://www.statista.com/statistics/273563/number-of-faceboo...
> You don't see people around telling smokers: You have children, you should not take risks like this.

I absolutely do see that, although it's more often about not exposing your kids to smoke than specifically about saving the parent's life. (Which makes sense if the concern is child welfare, since smoking deaths typically come at an age where most people's kids are full-grown.)
I never said line of credit. I was making the point that cryptocurrencies offer another means of payment and medium of exchange that is not as restrictive as a credit card. Here’s two articles that show they actually help the underbanked:

[1] http://www.coindesk.com/united-nations-sends-aid-to-10000-sy...

[2] https://www.bloomberg.com/news/articles/2017-06-13/pot-entre...
Not just Google. The FractalNet paper comes to mind.
More interestingly, running a marathon is equally fatal as scuba diving.

Unfortunately I think the scuba-diving in this list includes every type of scuba and not the riskier types focused on in the articles linked in this thread.
It's how banks the 20th century worked with external systems (people in this case), I bet they were transactional internally once they were computerized.

In the 21st century, if I buy something at a shop and there are not sufficient funds in my account the transaction is canceled and I walk out of the shop empty handed. The non-transactional system is still there as a fail over.
It's not clear to me how malicious actors can manipulate this observation to confuse self-driving cars. That said, I don't think this discredits the point of the article; it's important to note how easily deep learning models can be fooled if you understand the math behind them. I just think the example of tricking self-driving cars is difficult to relate with / understand.
Thus the 'spits out ical' - if you can offer them calendars on phones, outlook, etc that's a compelling use case; and the is a chance the existing system can consume it
Amazon's New Brand Pages Built with React.js
ImageNet 2017 Challenge Results
Multi-Task Learning in Atari Video Games with Emergent Tangled Program Graphs
You can't recycle the air bags?
look into project voco, a feature that was introduced to Adobe Creative product suite last year or so...you can make anyonr say virtually anything, by typing in text. This combined with video manipulation can be very effective.
I don't think it is possible in the literal sense to have adventure without risk.
Unless it's modeling islands, I find most terrain generators unnatural, at least from above. I wonder how feasible (and realistic looking) it would be to build a terrain generator using a bunch of fluid simulation to model plate tectonics, weather, and erosion.
Given the constantly heated discussion about Patents, I was surprised to see Amazon using Reactjs for a very public interface.
This article is a bit misleading. I believe NNs are a lot like the human brain. But just the lowest level of our brain. What psychologists might call "procedural knowledge".

Example: learning to ride a bike. You have no idea how you do it. You can't explain it in words. It requires tons of trial and error. You can give a bike to a physicist that has a perfect deep understanding of the laws of physics. And they won't be any better at riding than a kid.

And after you learn to ride, change the bike. Take one where the handle is inversed. And turning it right turns the wheel left. No matter how good you are at riding a normal bike, no matter how easy it seems it should be, it's very hard. Requires relearning how to ride basically from scratch. And when you are done, you will even have trouble going back to a normal bike. This sounds familiar to the problems of deep reinforcement learning, right?

If you use only the parts of the brain you use to ride a bike, would you be able to do any of the tasks described in the article? E.g. learn to guide spacecraft trajectories with little training, through purely analog controls and muscle memory? Can you even sort a list in your head without the use of pencil and paper?

Similarly recognizing a toothbrush as a baseball bat isn't as bizarre as you think. Most NNs get one pass over an image. Imagine you were flashed that image for just a millisecond. And given no time to process it. No time to even scan it with your eyes! You certain you wouldn't make any mistakes?

But we can augment NNs with attention, with feedback to lower layers from higher layers, and other tricks that might make them more like human vision. It's just very expensive.

And that's another limitation. Our largest networks are incredibly tiny compared to the human brain. It's amazing they can do anything at all. It's unrealistic to expect them to be flawless.
Sorry if I came off that way, that's not at all what I meant. My comment was more along the lines of putting a face to statistics; reading about the numbers of people dying is a weaker motivator than hearing the stories behind the lives that are lost to cancer.
Personally I would feel very selfish if I asked my dad to give up his passion in life just so I know there would be a slightly greater chance of him being safe. Especially if two years later he died of cancer or something. We all die.
The interesting part of human intelligence isn't the ability to calculate that F=MA based on measurement, it's the ability to come to a social consensus on the meaning of F,M,A, and =, and to decide that the relationship between force, mass, and acceleration would be a useful or interesting thing to know.
Please be charitable when commenting here. That means responding to the strongest plausible interpretation of what someone might mean, instead of a weaker one that's more offensive or ridiculous.

We detached this subthread from https://news.ycombinator.com/item?id=14794057 and marked it off-topic.
> That's assuming a two parent income.

No, it's specifically worded to not be just about income. That was the point of rewording it as "support".
vim, tmux, bash, perl, make
I get the feeling that you have not purchased a home either.

Required banking contingencies usually fall around home inspection and other verification efforts that the bank undertakes to validate the value of the security being offered for the loan (the house).

The bank doesn't just give you a check and say "go for it," they have a set of contingencies (incl. inspections) in order for them to shell out the money. Otherwise people could readily defraud the loan process by borrowing more than the security (the house) is worth.

Typically both parties enter into escrow with the expectation that the contingencies will be met during that period and for that period the money is held in trust along with the deed while all of the contingencies are validated.

A cash offer is a check, it requires no escrow period. Frequently home deals fall apart during escrow for a wide variety of reasons, this is a time-value risk on the appreciation of a million-dollar asset. Any sensible home seller would take the offer with no escrow period and equivalent dollar value.

The house I purchased (in a much less desirable region of California) would've been a lot nicer if it wasn't for this phenomenon.
In other words, you're unwilling to back up what you say.
I don't think it's a whiteboard per se. But it's definitely better than a whiteboard in the sense that it forces you to generate useful thoughts.
They go out of their way to be the opposite of Uber, not completely intentionally. I'm not saying it's necessarily the best thing to be.
That's an inherently biased question, because they've already suffered the loss, and so would've chosen not to suffer it given the chance.

The same thing (but reverse) with asking children whose fathers didn't go on an adventure and see if they would've preferred a more adventurous father!
Call my a cynic, but it seems like some people try to pass off their tiredness as wisdom in itself.
Since I talked about life insurance, obviously I'm talking about cases where your life is on the line. So does that mean you should never do anything that might get you killed if you have children? Even if you have life insurance?
The rich Chinese kids probably want to make some American friends, but they also expected a high social status where people cater to their needs and conveniences.

But the American kids only know how to deal with foreigners admiring the American way and looking to assimilate into American culture, plus, catering to foreigners is not really in the dictionary of the mightiest country.

Talk about expectation mismatch.
google keep :)
I think Nautilus articles do well, but never well enough to induce the activity penalty that the really popular stuff on HN gets hit with. They also tend to generate a number of comments over time, but not so many that they trigger the excessive discussion parameters that kick things off the front page. I would also assume that they basically never get flagged as the articles are generally not controversial.
PLEASE GUYS WHO IS THE OWNER OF THIS WEBSITE
PLEASE GUYS WHO IS THE OWNER OF THIS WEBSITE
gtgbusiness1.wordpress.com
I DONT LIKE JOKS ITS SERIOS
THE FORGOTTEN ANTI-CIVIL RIGHTS MOVEMENT CRIMES
Marketing consultant:

Facebook ads

Google ads

Microsoft excel

Google analytics/analytics of choice

Mailchimp/Email automation of choice

Zapier
I think the product tastes great. If I recall it had a good shelf life too. I'd buy it over real mayo dollar for dollar. Unfortunately I'd been buying it from Target who is discontinuing it.
There are a lot of people that would disagree with that. You could say the same thing about a lot of things that enrich your life.
It's not this way everywhere! At my (mid-sized, public, SF-based) workplace, I work 8 hours/day, good postmortems, and understanding at all levels of the importance of work-life balance and how oncall (a sad inevitability) should work.

If your employer doesn't do this, move on - that's how things change.
You'd be surprised how many people don't know what they are feeling. They are numbed, distracted and possibly have never given names to the experiences inside of them.

I agree that "managing" is a poor term here. In my practice I use the term "engage" with the emotion. Feel it. Surrender to it.

Action is very often a way to escape the intensity of an experience.
>SORRY, YOU NEED TO ENABLE JAVASCRIPT TO VISIT THIS WEBSITE.

Sorry, no I don't.
You, sir, are my people.
Winnie the Pooh banned from Chinese social media for looking like Xi Jinping
The Power Broker, am I right?
Why do you say that? The first demo they provide shows that the adversarial image, when printed and then manipulated, still fools the algorithm. That means that the example is robust to various affine transformations but also to the per-pixel noise that is a result of a printing something and then viewing it again through a camera.

Suppose you were to place an example like that on a stop sign that fooled a car into thinking that it was a tree. The car might blow through an intersection at speed as a result.

The training strategy they used provides a template for doing even more exotic manipulations. For example, you could train an adversarial example that looked like one thing when viewed from far away but something quite different up close. Placing an image like that by a road could result in an acute, unexpected change in the car's behavior (e.g. veering sharply to avoid a "person" that suddenly appeared).
Around 1/3 are engineers.
Show HN: Shuttlefinance.com, the Employee Benefit Savings App
Congrats on the launch. Have you considered doing this for Kindle Singles?

There are certain topics that I am interested in but the time I want to invest is between NewYorker articles (15-20 pages) and a full-fledged market-dynamics dictated 250-450 page book. And Kindle Singles (and such sized books) fill that niche nicely. And needless to add here, am a huge audible / audio fan - so would love to see the two get merged.

Thanks & Good luck!