skysight-inc/HackerNews huggingface dataset:
Why is 80% the magic number? 5% would reach more than 100 million people. That's enough to keep a team busy and a product growing while the competition sits on its butt waiting for the next 75%.
Some parts are good points, but some parts are strawman arguments.

If all jobs require four years of expertise to apply for, every time one job gets mechanized, while employers switch over to automation, the employees made redundant would need to sustain themselves while studying to gain the expertise required for a job in a different field at the same salary.

We do have an increasing number of distinct jobs that each take many years of study.

So far, I have felt confident in my ability to evolve in this job sector because I am good at logic, which most of programming relates to. But if the logic aspect of the job was trivialized to the point that anyone could tell a machine what it must do, I might have to move towards a new field, and learn to solve Schrödinger's equations and be deeply knowledgeable about quantum mechanics to be able to program some future, more complex machine.

And yet even that is easier than having to go from driving trucks to managing logistics.
What was it like to chat on IRC in the 90s
Pre-shuttle, the astronauts were test pilots, and the majority of deaths were not related to space flight.

People feel that there's a difference if a test-pilot dies in an uncontrollably dangerous environment for a cause than if a civilian dies because middle-management were too cheap.
Yeah, I take this difference in intuitions to be primarily about the fact that we are predisposed to be charitable towards others.

If they do something oustandingly evil, we're more likely to say that they weren't themselves, whereas if they do something outstandingly good, we say that they were their best selves.

Because of this reasonable bias, I don't think peoples intuitions can be relied on to be any kind of real measure of whether people are discontinuous with their past selves or not.
Older research is generally given less credence than newer research because of certain assumptions which may or may not be accurate:

* That the researchers looked into previous research, examined those results, and are either replicating them (thus adding extra evidence to those hypothesis), or have found some sort of flaw in how the research was gathered.

* That the researches have, in their research, looked into multiple previous studies, including the old one you referenced, and synthesized them all for their new research.

* It's often been shown that older research studies are flawed in some way, especially in certain fields, such as nutrition, so older studies should be held suspect (really the newer studies should be held with just as much skepticism, but they never are)

Again, the assumptions that this is done is not necessarily what happened in reality, but without media or laypeople doing their own research into things (and neither have time for that), it's usually a useful greedy heuristic to assume newer research is better and more accurate than older research.
I think this ignores the most important question of all: Given the rises in automation, how do we avoid adding up in a Hunger Games-esque future?

And before anyone says UBI: Do you honestly think that Paul Ryan, who is planning on gutting Social Security and Medicare right this second, would go along with that? UBI is going to be off the table for at least 20 years.
Of course you can. Inside .bashrc you have access to aliases (a facility to name things) and to a Touring-complete programming language (a tool to make things). There is little you can't do in .bashrc
> The Fukushima disaster occurred 5.5 years ago, and still holds a leading spot in news headlines today

Maybe is for the recurrent events of "oups, another leak of radioactive water to the ocean, the third this month. Our salutes to Alaska" in 2011, 2012, 2013, 2014, 2015 and 2016.
I think the question of what happens if humans have no jobs left to do is extremely premature. Different stages of AI and automation are being conflated in to the same arguments.

Rather, the issue that needs to be considered right now is what happens, in the US, if there is a big disruption to a large group of jobs which have been fairly stable for decades in a very short period of time? Specifically I am thinking about accounting (imminent), lawyers (already happening), financial advisors (happening), insurance agents (happening), real estate agents (imminent), drivers (coming soon), travel agents (transition complete) and so on.

Society as a whole gains benefits, if not direct access, but perhaps at a cost of removing the socio-economic status of a large group of people. This, of course, has happened many times before.

The greater AI-employment questions should be answered after we are pretty sure humans are even going to survive 5, 10 decades from now.
> Yes, there are probably plants among the various Russian nationals he deals with.

That's not even claiming that the contact in question was initiated or is sustained by Snowden, rather than being a result of Russian intelligence investigating him.
Show HN: RealIdeas.site (submit an idea, get 10 real ones back)
> Why is quality food reserved only for rich people?

Are you kidding?
Arch Linux Security Tracker
Remember that unemployment rates are terms of art that mean specific things. The rate you're citing is the U3 rate, which focuses on active job seekers.

What has changed is that other rates, such as U6, have remained higher than typically seen -- the current rate is around 9.6%.

Much larger numbers of people are exiting the labor force altogether. That's a symptom of deeper problems in the economy, and promises to get worse before it gets better. In a worst case scenario, were heading towards a new type of feudalism.
Travis Kalanick gave a really nice TED talk about this: http://www.ted.com/talks/travis_kalanick_uber_s_plan_to_get_...
You could get involved in local politics, and maybe eventually even run for governor. Is there anything stopping you?
>It's also notable that when Columbia disintegrated upon re-entry in 2003 the media and public at large didn't seem to pay it much attention at all (or at least I don't remember it being such a big deal).

Probably because it wasn't broadcast live.
Unemployment in other sectors "should" result in a subway construction boom/plummeting costs only if low-skill labor were the largest cost component of subway construction in the recent past. Was it? I tried searching for a few minutes on Google Scholar to find the share of subway project costs going to labor but didn't turn up anything; maybe you can find something.

I did find articles that say labor costs have increased over time, but none that were quantitative about it. Without quantification it's not helpful.
Let me clarify: not performant in any way that we want to implement. The NetApp referenced in that analysis would cost as much as we've spent on both of our OpenStack and Kube clusters. NetApp is great if you're a hospital or a bank but not an internet company.

We need something built on common PC chassis, either as distributed local storage or some type of high speed interconnect.
Most recommended:

- Ted Chiang - Stories of Your Life and Others.

- Lawrence Weschler - Seeing is Forgetting the Name of the Thing One Sees. A quality biography of Robert Irwin based on interviews over decades, and helps you learn to appreciate minimalist art to boot.

- Jane Austen - Pride and Prejudice

- Kurt Vonnegut - Breakfast of Champions

- Burton G. Malkiel - A Random Walk Down Wall Street

- Chimamanda Ngozi Adichie - Americanah. Saw myself in several of these characters

- Nikos Kazantzakis - Zorba the Greek

---

Also good:

- Jack London - John Barleycorn: Alcoholic Memoirs. Illustrates all of the interesting ways in which a person is tempted to drink: when someone else buys you one, when it's cold outside, ...

- Danny Bowien - The Mission Chinese Food Cookbook. Lots of stories between the recipes.

- David Byrne - How Music Works

- Meg Jay - The Defining Decade

- Ernest Hemingway - A Moveable Feast

- Magdalena Droste - Bauhaus 1919-1933

- Arimasa Osawa - Shinjuku Shark

- Zadie Smith - Changing My Mind

- Chinua Achebe - Things Fall Apart

- Oscar Wilde - The Picture of Dorian Gray

- Marie Kondo - The Life-Changing Magic of Tidying Up

- Haruki Murakami - The Strange Library. A fifteen minute read.

- Tim Ferriss - The Four-Hour Workweek. Good tactics for saving time; bad business advice.

- Kurt Vonnegut - Cat's Cradle

- John Berger - Ways of Seeing
Love Rust. That said, I have not figured out the following, and I'm sure that there has to be a canonical solution for this:

I have a Rust application that depends on 1 crate from crates.io. I want to build it on an embedded device over serial that has no networking capabilities. Does Cargo have an 'offline mode' or something that I can use to say "I don't want to depend on the Internet to build this, just fetch this version of the crate and keep it?" Because I have not been able to find anything like that. I'm sure there's a good solution for it because Rust is billed as a systems language.
Is the $150 permit fee a typo? Given that it's likely that in the event of an accident, Uber would already create a detailed incident review internally - why on earth wouldn't they spend $150 and agree to submitting accident reports?

They most certainly caved to NYC's demands that regular Ubers be registered with a registered cab dispatcher, and I'm quite certain they can afford $150 with their current war chest.
We'd strongly recommend that you open an issue to discuss it first, but yeah, of course they are! :)
Because that's where they are headquartered
Fuck that guy

We should sent marines or something to get him.
Given the audience, there'd be a race to see who could upload a copy on the Pirate Bay first.

Also I thought they'd shut down once Kevin Mitnick was free.
> I guess a NSL might compel OWS to push a binary specifically for a targetted user.

To my (admittedly fairly limited) knowledge, that's something the courts have yet to rule on. They can definitely ask to you give them any data they store about their users (and force you to keep quiet about it), but whether they could force you to develop a backdoor (and ship it to someone) remains to be seen. That's basically what the FBI vs. Apple case was about, which the FBI sadly pulled before courts got to rule on it.
Enigma is a secure messaging app that respects your privacy
> labor force participation rate is at 62.7%, close to a 30-year low. It seems to have bottomed-out in the last couple years and is currently holding steady

The LFPP is the share over the 16-and-over (with no upper age limit) population that is in working or seeking work. The effect you describe is kind of what you'd expect if a big demographic bulge had been passing into retirement age, and but then largely completed that move.
I don't believe you. There's no way you're coming even close to local disk performance with an off-prem solution.

Feel free to prove me wrong but I don't think that this is a reasonable solution for backing storage for a database.
Nothing he said contradicts the data. What he showed was what you miss when you treat a distribution as if it were a single data point.

A younger person is more likely to be irresponsible than an older person, but that is just an average. There are many young people who are responsible, and to disregard the impact of such a policy would have on them would be disregarding important data.

More to the point, data doesn't make decisions. It gives you the ability to make positive statements, i.e. how the world is or what the result of some policy would be. Normative statements, i.e. how the world should be or what should the goal of our policy be, depend on your personal subjective values. Like, how much you value freedom vs prosperity vs safety, etc.
I can't say I agree with him when it comes to the regulations, but Travis Kalanick gave an excellent TED talk about why there was no Uber before Uber when there was a chance: http://www.ted.com/talks/travis_kalanick_uber_s_plan_to_get_...
This is a common misconception: NSLs are a legal tool that can be used to extract certain types of information (such as subscriber information and maybe a little bit of transactional information) that a service provider already has stored on their servers [0]. However, they cannot be used to force a service provider to write and deploy code.

[0] NSLs are not magic - https://www.youtube.com/watch?v=YN_qVqgRlx4&t=20m16s
Trick to p2p is that generally you have to accept incoming connections for it to work. In signals case that's the signal servers.

Originally skype did this, skype users with a good network connection, good uptime, and who accepted incoming connections could self promote themselves to a supernode. This allowed async messaging for others, helped introduce peers who couldn't talk directly because of IP Masq/NAT etc.

So it's possible that signal could write a small application that could be a supernode. Ideally it could run on a Raspberry Pi, Plug computer, or even any of the numerous opensource routers. What way your battery sensitive phone wouldn't get run down by participating in a DHT or similar, but your raspberry pi could act like your inbox and facilitate incoming and outgoing messages.
U.S. House of Reps Intelligence Committee: Snowden Not Whistleblower [pdf]
"If all jobs require four years of expertise to apply for, every time one job gets mechanized, while employers switch over to automation, the employees made redundant would need to sustain themselves while studying to gain the expertise required for a job in a different field at the same salary."

That is completely true, but it's also something that applies to every other means of labor automation (going back to the 18th century or earlier), so it's nothing we haven't seen before.
Can you share what these items are? I have used GitLab quite a bit and GitHub just a little, and I so far have enjoyed using GitLab much more. I had a hard time finding my way around on GitHub.

The main parts I've used in both are creating Issues and Merge Requests, and in GitLab I've accepted them and managed teams/projects.
> There are many other places out there that will happily accept the money, jobs, innovation, and safety advancements that these technologies will create.

Ironic comment given that the cars are designed in Pennsylvania and California, and the intention is literally to permanently destroy tremendous numbers of jobs.

Of course, that's just first-order effects, productivity improvements benefit us all.
Tarkin was a bit off, but I could live with it.

To avoid an outright spoiler, the other application, right at the end -- ugg! Queasy uncanny valley visage. I'm amazed they didn't revisit that; I saw some obvious tweaks that would have improved things.

Also, not even CGI (I think), but Vader's frame and stature / postural aspects differed enough to look like a different person, despite the costume.

Again, just a person looking at the result should have been able to see the discrepancy and the room for -- in my opinion, readily achievable -- improvement.
Whisky is for Drinking. Water is for Fighting.
-Mark Twain
Canvas does not support all the 3D elements needed for spatial recognition and accessibility via 3D audio. I'm hoping to read through and see canvas3d support that feature.
Exactly. Besides the obvious technical implications of off-site, "cloud-based" storage, what happens if ClearSky can't pay it's hosting bill? Presumably, your many TBs of data (which could take weeks to transfer) would vanish into thin air.
Accident reports mean a tally of the number of accidents in the public record. If there's a lot that would stop people taking a self-driving Uber, which would ruin the company in the long term.
> being people, in the service area is 80% of the job

> Even fast food chains

Those are also jobs for which, for many customers, replacing people with automation would provide strictly better service. Ignoring the actual preparation and serving of food for the moment, an automated interface for ordering (as in "push button for what you want, pay, order shows up in the kitchen with a number") would make fewer mistakes, move customers through quicker, and cost less.

That doesn't mean automation could easily replace things that require (for instance) precise physical manipulation; it doesn't seem nearly as likely that automation could go around refilling beverages in a restaurant any time soon, and if it could, it'd cost far more than a human would. But taking orders, sending them to the kitchen, and processing payment? Automation would provide strictly better service there.
They don't care about the fee; they don't want to report accidents.

Reporting accidents is terrible PR for a self-driving car company. If they can hide away all their mistakes, that tells a better story for when they launch.

The biggest obstacle for self-driving cars at launch will be customers afraid of giving over complete control. If there is a paper trail of all the times they screwed up, even if those bugs were fixed, then they have to account for that in everyone's mind. Similar to experienced politicians that can have prior votes held against them.
> GPU Accelerated

Not what I'm looking for. The GPU still uses about 2x more energy than the dedicated Quicksync silicon, although its better than only using the CPU.

In case you're wondering, I did read the second link, it actually uses the first link as a source.

I'm not trying to be contrarian btw, for me (and my Macbooks battery) I just feel that the distinction between GPU acceleration and a dedicated decode core is an important one.
We city apartment people aren't better at socializing with our neighbors, probably even worse. The stereotype that cities can be harsh and unfriendly is very much rooted in reality.
I am entirely unsatisfied with his address of that problem. Mainly because he doesn't address it. He just kinda hand waves it away. And that's the only interesting thing that there is to address.

We all know that automation is coming, and that it's going to replace a lot of workers. Augmentation is also going to come, and it's going to displace many more workers, by allowing one worker to do the work of three. So what do we do with those that are displaced? So far no one has any kind of answer. Most don't even want to think about it, assuming that things will tie up nicely by themselves like on a sitcom episode.
Submitting accident reports is the issue, terrible press with each one and sympathetic juries if someone gets killed / injured.
My testing showed otherwise but I'd love to see what you've done. What sort of equipment did you use, what kind of network, and what how many IOPS did you see?
Thanks for your comment!

Contributions of any kind are always appreciated. We have a guide about contributing [0] that will help you in the process.

You can also create an issue [1] to let other people participate to your suggestions if you like.

[0]: https://about.gitlab.com/contributing/

[1]: https://gitlab.com/gitlab-org/gitlab-ce/issues/new
Holy hell this is amazing! Gitlab all the way! You release often and there is always something awesome in there, I love reading your release notes.

One thing I find strangely lacking (seeing as you bundle it) is notifications from gitlab to mattermost when builds fail or issues/mrs are opened. Apparently I have to run some strange 3rd party application to process webhooks?
Does U.S. fair use require you to destroy the fair use copies when you're no longer in posession of the original? I don't think so, I think you could even return it to the store, keep the backups and be perfectly legal. Perhaps intent matters?
2 things to consider. A lot of people use more disposable accounts for mailing lists. And a lot of businesses and educational orgs use Google apps or MS's equivalent with their own domain name.
A Canvas Framework: e2d 4.0.0-rc.1
See you seem to conflate the "will of the people" for the rules of the election. I'm not debating that Trump won, I'm debating that the will of the people was done.

I also was not a Hillary supporter, but again the rules are basically set out in a way that means that no matter what this election a large segment of the population's views would be ignored. Turns out this time we went with the minority opinion and ignored the majority.
> Companies in the US essentially can kill somebody "accidentally" and nobody from the company will go to jail in the majority of cases

It certainly doesn't make things better, but really US doesn't seem to be unique in this case. It's like that in most if not all places on this planet (I will be delighted to be proven wrong).
Okay, but aren't car accidents already generally a matter of public record? You're technically required to report accidents to the police when they happen, are you not?

Edit: It just occurred to me that the requirements could mean that Uber would have to report on any accidents that have occurred to date, though I'm not sure that conflicts with my original point. I must be mistaken in my original assumption.
As someone who is degree-qualified in the area of economics, I have to say I prefer this facetious and reasonably well-informed takedown of bad pop economics (and his HP fanfic!) to his utterly serious entertainment of ridiculous ideas like Roko's Basilisk in the area of expertise he's dedicating his life to...

(Rothbard's law: people tend to specialize in what they are worst at [also applied to Rothbard])
> The future cannot be a cause of the past.

This is the failed assumption of the author; that computers need human intelligence to displace jobs but they don't. They've been displacing jobs since their invention and they're getting better at it every year. They don't need to have an IQ of 70 or even an IQ at all.
How do you actually use a blade / search on a blade?
For the longest time the conspiracist inside me told me that someone had already created a monstrous hyperingelligence, and the bombardment of articles about the ethics of artificial intelligence was just a warning before the apocalypse that would finish all civilization. Nowadays when i read another AI ethics article i just take it as proof that the AI bubble has reached hyperinflation.
http://doc.crates.io/faq.html#how-can-cargo-work-offline is a TL;DR. You'll possibly also want to look at https://github.com/alexcrichton/cargo-vendor and https://github.com/alexcrichton/cargo-local-registry
I use a tiny bit of python, a little more LUA, and a TON of C++ in the machine learning work I do. Things like opencv, fbthrift, folly, boost, fblualib, and thpp make writing this sort of code in C++ very time efficient and if you know what you are doing it will end up performing much better than the alternatives. I only use python for some light scripting, data collating and reformatting type tasks, and LUA due to using Torch as my Neural network framework of choice.
conflating the specific binary instantiation with the general cryptosystem. Regardless, depending on your threat model, you can take increasingly { reasonable | paranoid } precautions like manually compiling and loading Signal, as it's OSS.

edit: "private group" can encompass a lot, especially in other ecosystems like Google and FB. If said "private group" adversary is, say, a prominent and wealthy Silicon Valley businessman and enterprising vampire who collaborates with fascists, then you can see the potential of compromising someone's security by coercing Google or Facebook engineers to run you a Hadoop query or conditionally inject malicious JS.
I think brains very probably use quantum effects in ways we might not even be able to study with anything close to today's technology. As a result, individual neurons or groups of neurons can be way more complicated than we are expecting them to be.

I'd say we're at least 2 major revolutions away from even coming close to what a chimpanzee's intellect, much less a human's.