skysight-inc/HackerNews huggingface dataset:
Not a mention so far about game theory or Nash equilibrium.

It depends on what you're doing. I was literally just watching a video on Generative Adversarial Networks this morning, and game theory did come up there, at least in passing. If one sat down and started reading the papers on this subject and trying to implement / improve stuff in this area, I suspect game theory would be at least moderately important.

There is also the field of Competitive Learning where game theory has some application. See, for example:

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.71....
North Korea is making Nukes to threaten the world with. And is a tiny shithile country with an already destroyed economy.

It helps to be claiming to be acting in humanity's best interest instead of obviously being a despot. Think about the political aftermath of interfering with someone claiming that they are trying to save the world and having a reasonable argument that is the case.

Someone attempting this would likely be in a major country and would likely have the approval of most of the countries. If the USA attempted no amount of embargos could stop them, the same with Russia and maybe a few other countries.

It is even possible that Germany, France, Israel or South Africa could pull it off with a little politics and clandestine dealings. They could delay politically and pester larger nations and demand UN actions while continuing development.

If the US and Russia were dead set on stopping they could with a few bombing runs from aircraft carriers. I don't think that is likely because neither of these countries is crazy and would love to be saved at no cost while having a political bogeyman they can use in the future.

EDIT - Have an upvote for a thoughtful and reasonable reply though.
Details about Aloha, the secret video chat device from Facebook's Building 8
That's a photo by the National Parks Service, timestamped 11:51AM, according to the Washington Post. Frankly I trust high-resolution photographic evidence vetted by the National Parks Service and the Washington Post reporting staff, over your memory of unnamed, unsourced live video. But yeah both sides, totally.

https://www.washingtonpost.com/news/powerpost/wp/2017/03/06/...
I refer you back to my qualifying adjective "sane." ;-) Sorry you have to deal with that.
Yeah, I love the speed option on Youtube, but it often could go faster. Though I usually end up watching at 1.5x because when I'm watching coding tutorial videos, I can't type fast enough and also process what I'm hearing/seeing to be able to keep up at 2x.

I tried understanding the reader in the article and found I could only catch about every third or fourth word, even though I do often watch videos at 2x (and I did actually used to use VLC for speeding up videos in the pre-YouTube speed option days). I'd need a lot more practice to grok speech at that speed.
In Japan it works the same way, although, as everywhere outside of the USA, automation is coming/inevitable.

The white glove pointing is all about being on time, it is a discipline and hitting those exactly on time arrival-departures comes down to train drivers knowing what speed they are doing without looking at instruments, which are covered during training.

Maybe the Danes have their own variation of this obsessive stop-watch training. A system that works efficiently does not have to be computerised, fantastic teamwork and dedicated professionalism can suffice.

In other endeavours, we still have not fully automated coffee, instead of a perfectly adequate beverage from a machine some prefer a human operator to operate the machine as if it was some rocket-surgery skill/craft. I don't think train operation is like that, a faux professionalism, maybe programming is nearer the mark, some programmers use a text editor which is ridiculous when they could use an IDE. Furthermore some programmers roll their own code rather than just re-use some existing module.
Finding New Optimism in Generational Differences at SHARE Providence
But with IntelliJ you get downgraded to the version it had when you bought the license I think.

https://sales.jetbrains.com/hc/en-gb/articles/207240845-What...

"When purchasing an annual subscription, you will immediately get a perpetual fallback license for the exact version available at the time (of the purchase)."

Parenthesis mine.
Two things:

1. Examples like those involve changes in speech; there's no difference between the pronunciation of "of" and "'ve."

2. It hardly makes something correct just because you can understand it. I bet you can understand the intent of "the dog seems slieping," but it's also clearly not right.
Web apps still feel somehow unnatural to many, and I agree that they usually are of a lower quality compared to decent desktop apps. But compatibility with linux and specially the ability to separate working context completely using browser profiles makes the web my platform of choice. I use separate profiles for each of my primary projects, and it really helps switching and focusing.
I wonder why the author didn't consider templating the info needed for the initial state in the received HTML, as JSON. At that point you're only limited by the speed of your Virtual DOM and browser rendering. And the first you can skip by adding SSR to the equation.
"ok google" is pretty good, in answering.
It's not uncommon to slap a DRO kit on a 100yo machine. 100yo bridges routinely get upgrades in surface coating and/or instrumentation/electronics.
Teslas can (although the second revision of the Autopilot hardware doesn't do it yet).
Your zeal will be exactly what will make what I'm about to do next even more hilarious.
User generated content (especially images) are a great attack vector, what do you do to isolate/mitigate against attacks like that ?.
Probably more efficient to just have another kid.
Sure it's unreasonable, but at least charging for it would be better, and make more business sense, than the current "Fuck You, Plebe" they offer to us prisoners of the FVEY panopticon.
Systems to manage train speed already exist, it's just that operating companies have not deployed them fully. It's required by law that these systems be in place, but either they've requested waivers, or the law keeps being amended to accommodate their failure to deploy.
It would not be too costly to augment roads with electronic signalling devices which give information to the software in cars. This information can do what signboards or traffic signals do for humans.

The difficult part - when there is an error in these signals, or things shut down, autonomous cars will suffer much bigger problems than human driven cars.

Its these edge cases that are the problem. We already rely on such mechanisms for planes(information comes from both gorund control and on-flight radar). But a lot of care and resources are is required to get to $n 9's level of reliability.
Rejected for replacing alkaline cells for AA, AAA, C, D, etc. Also I need to make a correction the comparison is between zinc and lithium, not manganese.

I often read that lithium cells suffer from volume changes during use but do not know if this affects lithium primary cells. The alkaline cells virtually never leak.
I seem to remember that the installation directions included something to limit memory size, and trying to install without reading the directions would fail well before opening a listener port.
IntelliJ IDEA Ultimate 2017 Full Crack [32-bit and 64-bit]
Depends: does the latter couple need relationship advice?
The question would have been answered if you read the article.
I'm not and have never been a thrill seeker but it was important to me to get back on the road and confront my anxiety after getting into a fairly bad car accident so I guess I can understand the impulse.
Maybe you don't want to have a transportation system that is as uncomfortable to ride as a rollercoaster. You might want to be able to transport frail elderly people and small children as well.
Who is a senior dev?
There's a pretty clear realm in which tech VC has been successful over the past couple decades: utilizing large digital networks (which is the new object that SV understands how to work with) to either improve existing businesses (reservation booking, media viewing) or create new ones (social networks, ride sharing). And when they do break out of that mold, it's with very experienced entrepreneurs that have a thorough understanding of what the industry is, and how it can be improved.

The model of hurling "20 year old dropouts" at industries with well-established practices like medicine is a bad model. That doesn't mean that there isn't room for very knowledgeable and experienced entrepreneurs to disrupt medicine, but it'll probably be thanks to someone with two PhDs, an MD, and a decade of research experience. It's not the same thing as some kids molding a new industry from scratch with few prior entrants (e.g. Gates/Jobs/Zuck).
Three Rules for Tackling a World-Famous Math Problem
Technische Universität München dropout says new zeppelin "won't be another Hindenburg"

Well, yes, I'd certainly hope this startup won't be another Theranos, one of the most high-profile disasters in recent memory. Best of luck to the founders in clearing that rather ignominious bar, and here's hoping at some point another biotech startup can once again craft a public image other than "we're not a complete trainwreck".
> thinking we need to shield the poor naive populace from harmful ideas is borderline stereotypical paternalism

More than 30% of Americans still support Trump, clearly they do need adult supervision.
Airlines will kill to get another 10% in margin.
So you're a contractor who just jumps between startups? How do you get started with this? Just a network with lots of entrepreneurs I presume? :)
I don't want to be gratuitously negative here. So let's start with the fact that it's great to have a model of cooperation as something out there to be improved upon, or refuted, or defaulted to in the absence of obviously better models.

However, if the idea is that a model is good at "explaining" cooperation by setting up a hypothetical where people choose it a lot, then I guess the "best" model would make people choose cooperate all the time.

So you can set up the points for cooperation to be infinity and the points for all non-cooperation to negative infinity. And you can wrap it all up in a hypothetical story about what the choices mean. Now you have a perfect model where people choose cooperate 100% of the time. But I don't feel like I'm any closer to understanding how cooperation evolved in humans.
Practically everybody has food for a year. Few have food for a week and less for a month. When you need food for a year you can safely assume that nobody will ever care if you break into all your neighbor's houses. Their canned soup is part of your food for a year. When you need food for a week all your neighbors are looking at the pantry at the same time and trying to figure out if they can last two weeks.

Food for a month doesn't really exist as a need. Either emergency supplies from around the world arrive in less than two weeks, and you are safe, or they don't and you need food for a year.
Except everything that came out against Uber was things that they had actually done. Susan Fowler wasn't planted. Waymo wasn't planted. And these things started long before Trump took office.
The utility of tactical decision games for space warfare
From my understanding, it seems the main concept behind Hyperloop is a "fast electric train" in an evacuated tube.

Other design details from the original spec. don't seem as central to the definition.
https://en.wikipedia.org/wiki/Quantum_fluctuation#cite_note-...
I think this strategy would be safe to black swans because it would be invested when it's going up tremendously, and out of the market when it drops tremendously.

But it would lose all it's value if it just swings up and down slightly over time, as it buys high and sells low.
PingBomb – Ping Links – Free Backlinks – Fast Indexing
This is exactly how I read it. I think the OP flipped the two.. This, and the fact there is zero evidence to back up the claim is enough for us to confidently ignore it and move on.
There exists a tool called TPOT (Tree-based Pipeline Optimization Tool) [0] that aims to automate the knob-twiddling that tends to go with optimizing Machine Learning models. As these models often have a number of parameters to tune and tweak over large scales, such a tool can be useful to identify performant combinations of these parameters and save time in doing so.

However, many ML practitioners are wary of similar automated ML pipelines, especially as they focus on non-expert users. A huge part of "data science" is the "data" itself. It often has idiosyncrasies and quirks that must be identified and accounted for in any model that hopes to make useful predictions. There are many pitfalls that come from not understanding the base statistical/mathematical assumptions of these tools, and a simplified Automatic ML Suite runs the risk of providing misleading results when used as a one-size-fits-all solution.
Even for expert users, such tools often make it difficult (either by mathematical need or software design) to interpret the reasons and causes for their results. "Black boxes" like this are definitely hard to sell up the chain.

[0] https://github.com/rhiever/tpot
Intel's management and QA probably looked only at UI where the flag is marked as "Reserved".
Do Insects Have Emotions? Some Insights from Bumble Bees
Well, have you ever seriously considered what that problem entails? What's the hard part of that problem?
I wish the people who answer this question are people that are current deep learning engineers or data scientist that use deep learning in real world settings, I am worried that people who are not credible are giving advice, which is not valuable. I am a masters student taking a PhD class in Bayesian machine learning to figure this out as well. I hope to have a better answer for this by the end of the course!
You can move the money to Tether (USDT) to avoid to the event that triggers capital gains. However, I hear it is a super sketchy crypto asset, so buyer beware.
https://en.wikipedia.org/wiki/Siemens_Velaro
An interactive review of periodic table composed of 119 haiku
I found this course to be very helpful, it has a good balance of reading material and labs to apply what you learn. The course is from the Austin’s Department of Statistics and Data Sciences.

[Foundations of Data Analysis](https://courses.edx.org/courses/course-v1:UTAustinX+UT.7.11x...)

Note: In this course, Dr. Michael J. Mahometa uses R. But I'd recommend you not to focus on R vs Python debates; the goal of this course is to learn about Statistics & Data Analysis in real-world scenarios. With that in mind, even just going through the reading material and lecture videos will be valuable enough if you're starting from scratch (but I'd recommend you to take the extra step and complete the Labs too).
Author of "possibly the most misguided comment ever read on HN." ?
http://edition.cnn.com/interactive/2017/01/politics/trump-in...

Really - there are stronger arguments against Trump.
To me, C is honestly one of the most elegant languages there is, right next to Scheme.
48% of people over 12 iterations of a game.

"... which involved 96 participants ... Each pair repeated (“iterated”) both games 12 times, though were initially told the number of repetitions was randomly determined. The researchers created global competition by revealing that the players with the four highest pay-offs would receive monetary awards."

What people say they would do in a simulation might be different to what they would. Maybe they didn't bring a shovel. Maybe there's already 96 people at the snow face and you'd only be getting in the way.
Have you checked?
VC doors are wide open for real estate startups
The fastest train in service by the way: https://en.wikipedia.org/wiki/Shanghai_Maglev_Train

(Which is a version of the SIEMENS Transrapid Maglev system)
Data Scientist Cathy O’Neil: “Algorithms Are Opinions Embedded in Code”
That's nice PR to assuage the guilt of people building this kind of tech, but it's really not working out that way:

https://www.theguardian.com/us-news/2017/jun/17/uber-drivers...
That's what Bixby vision on Android does[1]

http://www.samsung.com/global/galaxy/apps/bixby/vision/
> Imagine if this was a non-white male CEO

Sure, I can imagine. Look at the "Bridge" detox device which is being pushed by a Filipino American male. No randomized, blind clinical trials showing it works, but it is being used all over America in clinics where it is not covered by insurance. I'm guessing you've never heard of this scam, so I would say that public opinion about it is indifference rather than outrage.
I could have written this same post almost word for word...
Cash is king, especially at local restaurants with humans who recognize their human customers, know their preferences and can adjust on the fly to changing needs.

If the siren call of data is followed, restaurant offerings will be influenced by airline yield management techniques. That won't lead to happy customers.
Also, I got an email because at one point I had tweeted about Shannon:

Dear Sam,

I hope this note finds you well. I noticed that you had tweeted in the past about James Gleick's book "The Information." As it happens, that book inspired a book I've just finished: the first-ever full length biography of the late Bell Labs engineer Claude Shannon.

The book was recently published by Simon & Schuster. I figured I would reach out, given your interest in Bell Labs. We were fortunate to have worked with Alice Mayhew, the editor behind A Beautiful Mind, Walter Isaacson's Steve Jobs, and other books in that genre.

I think you'll enjoy the book and hope you get a chance to check it out!

Jimmy

--

--

My new book, A Mind At Play (Simon & Schuster), is available now. It's the story of Claude Shannon, one of the founders of the information revolution—and one of the reasons we can exchange these emails.
To clarify the referenced ride is in Gold Reef City in South Africa and is not the same as the Twilight Zone Tower of Terror at Disneyland
I see. This is a sepiolidae. In a different superorder than octopuses then. Neither a squid nor a octopus; a close relative to cuttlefishes.
That intersection sounds like hypocrisy until you think about how being a common carrier is a government rule and it really is the government that needs to restrained to prevent censorship.

I definitely accept the need for that intersection for the USA at this point.
6 top open-source test automation frameworks: How to choose
And perhaps already accomplished? (with FDA approval)

https://www.medonic.se/products/

Don't know if they're going beyond the capabilities there, I'd have to assume they are.
> Real bias, but moving on...

I wasn't trying to talk to these specific cases, but I would agree the valley leans left.

> I really doubt anyone at Facebook, Twitter, or Google would have said "oh my God, what have we done???" if some insidious bit of "fake news" helped Hillary be elected.

Really? If my choice got elected because of my site I would be happy I didn't lose but I would be TERRIFIED that I had so much accidental power. What if I'm not a good steward? What if I accidentally misuse it? What if someone else takes over and REALLY misuses it?

I think (hope?) people would understand the power involved and not want to mess with to much.
Here's the me_cleaner dev branch which supports setting the HAP bit to disable ME. https://github.com/corna/me_cleaner/tree/dev
Understanding MongoDB Storage Structure
> It will be ridiculously difficult to get to Level 5 automation in cars. It's decades away, not years.

One could make the convincing argument that Waymo's vehicles are already at Level 5; where they probably struggle (I have no examples or data on this) is probably in inclement conditions (rain, snow, fog, etc). That said, even in such conditions, they probably perform much better than a human driver.

For instance, most human drivers in such conditions - even when they struggle to see the road clearly - continue to drive anyhow, mostly blind, instead of doing the right thing and pulling off to the side of the road and waiting, which I bet is a behavior that Waymo's vehicle performs when it struggles beyond a certain level.

In other words, Waymo's vehicle is likely better at determining when NOT to drive, and acting on that determination, instead of being stubborn and irrational in the face of evidence to the contrary.
For Prime Real Estate, Istanbul Is the Premier Choice
Do you know of any source that compares the coefficients for bubble sort, insertion sort, and selection sort? This sounds interesting.
> What maths must be understood to enable pursuit of either of the above fields?

None.

> Are there any seminal texts/courses/content which should be consumed before starting?

No.

You don't need to know binary to start being a programmer/developer either. Just start already. As long as you are not in charge of a medical diagnosis or financial model, you don't get any drawback in experimenting (and failing miserably).

Assuming applied ML, the most difficult part will be the human-political business element of it: People not understanding your model or using its output correctly, bias, feedback loops, acquiring enough resources, etc. The more you can explain to them, without resorting to heavy maths, the better communicator you are.

That said, it can't hurt to do Ng's Coursera course (a lot of top performers started out with this course). Learning from Data by Caltech's Abu-Mostafa goes very wide on machine learning. "Programming Collective Intelligence" is a, somewhat dated, good book.

As for seminal texts, the field is too wide for this. A better bet is: Find a professor in the field you are interested in. Say "Deep Learning", you could have a look at LeCun, Hinton, Schmidhuber, Bengio, ... Now look at their PhD-students, their papers, their courses, their conference talks, their software, their current research. Basically become a student under the most authoritative professor in the subfield you can find and resonate with, without ever paying any university tuition or them knowing you exist. This is very possible these days.

But by all means: Just start out. Machine learning is fun. Learning about dry 100 year old maths not so much. Make mistakes. Learn to detect and avoid overfit. Find out if you are passionate and curious about parts of the field, then the theory will come eventually. A lot of the time these questions seem to demand answers like: "You need a PhD-level understanding of mathematics" Just so your brain can go: "I am not good enough for this, so let's look at something easier". Don't use this as an excuse. Start making intelligent stuff. There are 16-year-olds on Kaggle routinely beating maths PhD's.

Also remember that, despite the current trend of calling everything "AI", that AI is a very wide field, of which mathematics is only a small part. There is philosophy, linguistics, cognitive science, physics, neuroscience, psychology, computer science, robotics, logic, ... all these parts vary wildly in their prerequisite maths knowledge.
Causation could perfectly be the other way around: Some people write a book about Shannon, and thus get asked by publishers to write articles about him for them. Plus you wouldn't expect the authors of articles about someone to be people that know little about that person.
I've heard similar opinions before, and would love to see this expanded on... in particular how it can be elegant compared to Scheme, which is by far the most elegant language I know.
...and start selling everything at mediocre quality.
GBPUSD Eyes Recovery Higher Towards the 1.3030 Zone
Can you share this 'high resolution video'? AFAIK, those videos were debunked as fake news because the National Park Services photos showed sparse crowds during the ceremony.