skysight-inc/HackerNews huggingface dataset:
I would say this might be a description of Docker or Docker containers specifically, but does not characterize Linux containers generally.

Linux container technology, by which I mean the Linux kernel APIs used by Kubernetes, CoreOS rkt, and Docker, do not have an opinion about whether the processes that run as containers are ephemeral or persistent. Containers can be just as persistent as the host they're running on.

For example, consider a Linux distribution using systemd. Systemd might launch regular processes upon system startup, and it might also launch containers where both types of processes are equally persistent on the parent host. See the documentation for systemd-nspawn [1] and machinectl [2]. The Arch Linux wiki has more details about how to use that distribution with nspawn [3]. Containers managed in this way are just like other system processes aside from being containerized.

[1] https://www.freedesktop.org/software/systemd/man/systemd-nsp...

[2] https://www.freedesktop.org/software/systemd/man/machinectl....

[3] https://wiki.archlinux.org/index.php/Systemd-nspawn
> Canada also has notably different strategies when it comes to encouraging an atmosphere of innovation, and that includes specific policies around immigration.

Then where is it's Silicon Valley? Why are Canadian software companies paying less than US ones. Why are new CS graduates moving to US? The immigration policy wasn't implemented yesterday. After all the decades of this immigration it should have had the same kind of growth as US.

Now in reality immigration probably has less to do with it and it's just used for fluff and PR. There are other incentives and constraints that are not aligned quite right.

Usually when a city or other government officials explicitly say "we're the next innovation center" or "here we will build the next Silicon Valley", chances are it won't happen. A few incentives or some token "city block transformation projects" are not enough. It might require a new tax or regulatory structure, but that's also hard to stomach politically and would make the administration less popular.
I can’t understand the arrogance of telling other people that they ‘should’ produce their content in a format of your preference.
Indeed.

I still recall watching this change firsthand.

When i got my first modem, i was informed of a regional IRC channel on one of the big networks. And from that day onwards i would have my client set to connect to that channel, and fire it up alongside the email client right after the handshake completed.

But at one point the channel died, and the cause of death was twofold.

one part was the creation first generation social media services, and their web based chat rooms.

Another part, and perhaps a bigger part, was that Microsoft made a strong push of MSN Messenger with Windows XP.

This resulted in a more clique style communications form online, as you had to know people and get their account info before being able to contact them. With IRC you joined the channel and that was it.
Below link has good set of problems. Hope this helps:
http://www.techiedelight.com/list-of-problems/
>People were saying bitcoin was in a bubble when it went up to $50.

A bubble getting bigger is still a bubble.
No system is 100% secure. What they mean is you can train an adversarial input that would work with a deep learning system and this can fool other machine learning systems. Or that you can create a deep learning system that would fool another (you use a GAN to make forgeries to fool your target ).
sorry, but how is the U.S. military the largest polluter in history?

Surely the billions of people using electricity and driving cars and living off of products created with fossil fuels have managed more pollution than a few million in the U.S. military?
what are you basing that claim on?
I don’t buy any of the attacks listed here or see how the examples being imperceptible is actually a factor.

If you have the ability to modify the check why not make it actually look like it’s for a 1000000 dollars (ie even to a human).

If you are going to go out and replace speed limit signs to fool self driving cars, it’s probably equally dangerous whether or not the change is obvious, because if it’s way out of bounds a car won’t do it but if it isn’t then it would also fool humans.

Anyone have some more realistic attacks that are specifically possible due to the imperceptible nature of the changes in the input? Most of the harm I’ve heard in examples simply comes from the fact that if you are controlling the input to an ml system, out can get it to do whatever you want even without using any of these techniques: just actually change the class of the input.
I crewed on a sailboat in YRA races leading up to and during the 2008-9 crash. It was mostly people from Lehman and Barclays. I was the only SV guy on the boat.

No one partied harder than those guys but then they really only partied with themselves. It was kinda like Boiler Room. The Dot Com boom is the stuff of legends but these guys left nothing on the table.

Barclays had a riff and ordered a string of cabs to take people home. One of them stepped into the cab and said Vegas.

For all that they were wrong about everything. Highly paid, quite sure of themselves but wrong. Basically they were poker players (and they played a lot of poker) but they weren’t very good. It was just other people’s money so who cared.

They didn’t learn anything.
Fodor's the mind doesn't work like that is a great book explaining the shortcomings of both connectionist and modular models of cognition. He basically says neither should work, nor combinations thereof. Never seen anything more than dismissal of his work.
Yes, but it would be an equally dramatic step to leave their normal anti-spam system in place, but then specifically exempt a particular hashtag from filtering.

But of course you're right; the core problem is that the filtering process itself is completely opaque and inscrutable. We just have to take Twitter's word that it doesn't introduce explicit or implicit biases.
Below link has good set of tree problems in C++: http://www.techiedelight.com/list-of-problems/
The Also/Or Dilemma
If they had taken similar action against the provably bot-ridden tags of some of the pro-Hillary hashtags... they would have mentioned it in an effort to appear fair and balanced.

It's a case of "the dog that didn't bark" showing up their actions: Twitter has shown they are biased.
Definitely. There are different use cases even within the same shop. One of the major problems with getting containers adopted where I'm at is that the ops folks want to have a production story for containers before we start learning how to use them in development.

Many of the concerns are orthogonal! We are just using them on the app-dev side of the fence to manage our configuration drift so that regardless of what app you're trying to start, you can do it alongside of whatever other apps you're already running. We use minikube with the ingress addon to help us fit some moderately complex constellations of servers onto our laptops, without having to know Ansible or learn to configure Nginx (or need to twiddle the Nginx config every time we're changing to work inside of a different context, or know a lot about Kube, or requisition additional EC2 nodes, or really anything after setting up Deis other than "git push deis".)

Before they will call this development configuration supported and allow us to take advantage of cloud resources (S3 buckets to address our scaling and other concerns, basically so we can run Deis in minikube without starting from scratch again every day...) the enterprise architects want to see a plan to run "a multi-AZ scalable environment to run containers."

It was at that point in the conversation that I realized, we were having two totally separate conversations in a single thread. There is so much overhead to get things into production in our organization that we don't even want to broach the topic of putting containers into production use, but in the minds of InfoSec and the architects, they see it as inevitable that if we're using containers in development, we're also going to use them in production.

I'm on the fence.
> No [machine learning] system is 100% secure.

That is what's being claimed without proof, when they meant "existing neural network systems are known to be insecure"
A massive push to clean electricity tech and infrastructure funded by the Federal government may seem expensive, but is SO much cheaper than Climate Change related war+starvation+sea-rise+giant storms.
Cosmic-ray particles reveal secret chamber in Egypt's Great Pyramid
> even by a granny

Please don't use this as a substitute for "novice computer user" and similar. I've encountered people twice my age with grandchildren who are experts, and people younger than me who are novices.
Facebook key highlights from earnings report
Pro tip: do not listen to non-customers. Do not cower to non-customers. Do not appease non-customers.
Hot-adding memory is essentially have the equivalent of the mmap kernel syscall, but there's no ability for the VMs to return memory that they no longer need, as you have with the munmap syscall. So you may start out without overprovisioning, but eventually you will hit peak hours, redistribute your VMs, and be overprovisioned again unless you reboot machines after peak hours.

Even if you did add a capability to compact and dynamically stop using hardware memory into linux, then signal the hardware layer that it's not used, you're again just implementing another feature provided by standard kernels for decades. Not to mention this feature seems basically coupled to virtualized hardware.
What I dislike about Patreon is that they don't let you make a one-off payment, you have to give monthly.

Sometime I run into something I appreciate and want to give, but want to give once, and can't because of this.
Surprising. I have been money between various EU countries and Canada without a problem.
That requires net neutrality. In general I think there's a danger that ISPs become "Web service providers" and refuse anything which isn't HTTP from rDNS-able addresses.

Of course people will just end up recreating TCP over HTTPS to get around these sorts of things, but I don't think we're headed toward a decentralised and opinionated (i.e. not heavily filtered based on traffic analysis) network.
https://www.ecowatch.com/military-largest-polluter-240876060...
> wouldn't leak data

They will leak data, e.g. deleted information. Search “SQLite forensics” for technical details.

> Most edits would presumably not even cause fragmentation

You replace “a” with “the” in the middle of a large table, and generally the table becomes fragmented. The way it’s fragmented indicates not only where it was edited, but also what kind of edits were made, insertions and deletions fragment database differently.
What do you mean "use GPU acceleration"? Are you saying that a large percentage of sites use WebGL? Using GPU acceleration for web page rendering is just a browser performance optimization. They can render the same page without GPU only slower.
> Lately, safety concerns about AI were revolving around ethics — today we are going to talk about more pressuring[sic] and real issues.

Nice how this casually demeans peoples' worries. Of course, the (demonstrated) idea that ML algorithm would pick up on, and amplify, discrimination (among other things) isn't "real" to these guys.

Risk-scoring of loan applications actually happens to be one of the few uses of ML in the non-tec sector, and it's incredibly likely that some of them are already denying people's application because they happen to be named "La David" and not "Emil". But maybe the authors just don't consider "ethics" to ever be a "real" problem?

But "change a single pixel and the ATM gives you $1,000,000" is, apparently, a "real" and "pressing" problem.
The US does have a system like that. The EB Visa is a permanent visa for high-skilled workers: EB1 is the highest-priority for advanced degree holders, EB3 is lower-priority for generally skilled workers.

H1-B is designed to just be a pool to temporarily fill labor shortages in the US. It's not intended to be the path for PR hence why it's admittedly arbitrary.
Firstly, we have always been divided and against each other. Rich vs poor, white vs black, rural vs urban, native vs settlers, native born vs immigrants, states vs federal government, etc. What is the NYTimes going to do next? Blame russia for the civil war?

Secondly, the media, including the NYTimes,

https://www.nytimes.com/2016/09/25/opinion/sunday/hillary-cl...

did far more to divide the country and turn everyone against each other than russians. The nytimes and their fellow media cohorts incessant agenda-pushing via their socio-political propaganda war has soured the nation.

Thirdly, what disturbs me is the coordinated propaganda campaign waged by almost all the media ( nytimes, wapo, bloomberg, cnbc, etc ) all pushing the same message. It almost seems like they are just different mouthpieces of the same propaganda organ.

Fourthly, it's exhausting and quite frankly ineffective to spam "russia is behind everything" everyday. It just makes the nytimes and the rest of the media look like propagandists rather than actual news organizations.

But that's just me. My faith in news organizations is forever lost anyways. Once you peek behind the veil, there is no going back.
The Ethical Hacker Network Rises from the Ashes
> Hemingway is poorly chosen name, if it's not intended for artistic writing.

I agree entirely with that, and it doesn't even really match Hemingway's style.
One-off payments are nice but aren't a good basis for working on something full-time. My fosspay service allows people to pay one-offs, but those aren't very helpful for sustainability.
Yap or Venmo
If there was a new type of group expense consolidation app in the market today, would you use it or would you stick to existing apps like Venmo? My name is Omar Jandali and I am a full stack / back-end web developer out of Los Angeles, CA. I am currently building and developing a new type of expense application that will allow groups of users seamlessly split expenses and transfer money between users.

How it works

Lets say you are with a group of your closest friends and as a group, you decided to take a trip together. There are going to be several expense that all the members are going to split in order to pay for the trip. With Yap, you will create a group within the app. A host will be selected from the members and the host will make all the initial payments for the trip. After an expense payment, host will input all the expense information as well as how it will be split. Expenses can be split evenly among all or individually. After each user verifies the expense, money will be transferred from their Yap account to the host's Yap account before being transferred to the users linked bank account. Each user will link their bank account (similar to Venmo) through Account number and Routing Number or bank account login.

Behind Yap

This idea came to me after 2 cousins, my brother, and I went on a trip to Cancun. The entire trip was amazing, but there was one part of the trip that is a hassle to deal with. If you have not guessed what it is, well it was paying for expenses as a group. Whether it was a restaurant, hotel, car, or activities, everyone was pulling out cash and credit cards and figuring out how to pay and who owes money. After looking I couldn't find any app that includes every part of group expenses like Yap.

Would you use Yap

If an app like Yap was developed and released, would you or someone you know use an app like this to split expenses and transfer money immediately?
From Crafts to DIY to Open-Source: (R)evolutions in Making Things
Ask HN: Should I code for equity?
Hello HN,

I am Mid/Senior developer, and I have a part time job with that pays the bills and I don't need more money right now.

I was thinking about starting to code for pure equity, like warrants for 1.5x of my rates based on current valuation.

Do you think this is a good idea?
I am assuming finding clients are not hard, am I wrong?
How should I set it up legally?
That applies to the nytimes too. They are in the business of influence peddling.
Take care, the original authors were being overly broad when they implied "all ML algorithms" can be fooled in this way.

Not that I disagree with your conclusion. Just the hypothesis.
Packer has a docker-builder which constructs docker images without a dockerfile, found it useful for quickly converting between creating AMIs and Docker images for EC2.
an example of controling how the content is consumed is gifs. gifs work great, there needs not be a replacement for them. one of the beautiful things about a gif is you can save it.

the current web hated that, it didnt have control. they are trying to 'wean' us off gifs through companies like giphy.

how many people cringe when you click on a link on reddit and realize its a link to youtube and you have to watch a commercial for a 30 second video? I am like omg, youtube, close
Can't access the site. Is it down?
Just stay away from the numbers matching classics and I'm cool with this.
Yahoo Finance API Discontinued for Good
GetYourGuide raises $75M to expand its platform internationally
Hey folks - Skymind co-founder here...

If you download SKIL CE, you get a deep learning environment that supports neural nets from notebooks to production. The Zeppelin notebooks let you configure, train and evaluate neural nets and build ETL pipelines. It also gives you one-click deployment. SKIL comes with an AI model server that auto-elastically scales to handle surges in data traffic. The model server is architected as a micro-service and exposed through a REST API and takes input data as JSON and outputs decisions about that data as JSON.

One of the hurdles data science faces is that its hard to integrate data science tools with the enterprise big data stack on the JVM. We built that bridge. And we integrate with JVM big data tools like Hadoop, Spark, Kafka, ElasticSearch and Cassandra.

The main features in SKIL CE that aren't in the OSS are:

* model version history (easy cloning)

* grouping and indexing neural net experiments and bookmarking champions and challenger models

* scalable AI model server

* managed Conda environment

SKIL imports models from Keras and other DL libs, and it will have a managed Conda environment for Tensorflow, Keras and other tools, as well as the libs we built around Deeplearning4j.

ICYMI, we contributed DL4J etc. to the Eclipse foundation last month. Those libs, bundled in SKIL CE, include:

* Deeplearning4j: Neural network DSL (facilitates building neural networks integrated with data pipelines and Spark)

* ND4J: N-dimensional arrays for Java, a tensor library: "Eclipse January with C code and wider scope". The goal is to provide tensor operations and optimized support for various hardware platforms

* DataVec: An ETL library that vectorizes and "tensorizes" data. Extract transform load with support for connecting to various data sources and outputting n-dimensional arrays via a series of data transformations

* libnd4j: Pure C++ library for tensor operations, which works closely with the open-source library JavaCPP (JavaCPP was created and is maintained by a Skymind engineer, but it is not part of this project).

* RL4J: Reinforcement learning on the JVM, integrated with Deeplearning4j. Includes Deep-Q learning used in AlphaGo and A3C.

* Jumpy: A Python interface to the ND4J library integrating with Numpy

* Arbiter: Automatic tuning of neural networks via hyperparameter search. Hyperparameter optimization using grid search, random search and Bayesian methods.

You could say that SKIL is RHEL for AI. It's commercially backed open-core software. It's a deep-learning tool aggregator that addresses a lot of the current pain points of data science, and includes model auditing and tracking for enterprise compliance.

Right now we can import models from Keras 1.x and 2.0, no matter which backend you trained on, including Tensorflow, Theano and Caffe. In our next release of SKIL CE (3 weeks-ish away) we're going to enable people to train and deploy with TF directly.

All available here: https://github.com/deeplearning4j

The community is active here: https://gitter.im/deeplearning4j/deeplearning4j
may i ask how do you process the payments? looks nice and clear. thanks.
> Is that unusual?

That specific Canadian criteria is particularly strict compared to others. In the UK an immigrant is allowed in even if they may place a larger than average burden on health/social services (autism would be covered usually in this case), but may face rejection if they are highly likely to require "major medical treatment" or infectious. It is quite fuzzy, but far more liberal than the Canadian system.

> or will mean that they'll never be able to hold down a productive (i.e. tax-paying) job

When you look carefully at a number of Western countries, this is not as important as you think it might be! In the short/medium term (up to 20 years), many countries are not expecting the 1st generation to be anywhere close to net-contributors. The hope is to compensate for the major age demographic shifts in the west, 2nd gen. immigrants might be able to compensate for the huge welfare state. Of course, the 1st gen will also be eligible for pensions/social security/healthcare etc. It is a gamble.
Thanks for confirming something I suspected. During the crisis a few years ago, everything I read about him seems to point that he is a reasonable person and coming from the right place, with the right intention. I had a major issue how people ganged up on him. There were lists circulated at the time calling people to block anybody who was following him on twitter etc... (got blocked by several people because of this, took me a while to figure out why).
This happens because people refuse to pay for anything on the web. And you get what you pay for.

I guess I'm just stating the obvious.

Now 100% sure how to fix this - but it hard problem.
> it has insight into how much RAM has been requested

Most VM hypervisors have this insight as well, as long as the guest is running at least slightly paravirtualized (i.e. has a "memory balloon" driver.)
New, yes, $30k no. electric utility provided a significant deal. In some states you can apparently get the 2016 model for $15k out the door now.
Full video interview: https://www.youtube.com/watch?v=M9X_-ARHXEI
Curve25519 and Curve448 to be standardized by NIST
I could really go for some hope and would very much like to do something of that nature, but it's hard to figure out where my skills are best allocated.

As for the pay I am very difficult to motivate with money beyond what makes for housing and food security.
Aside: From what I read in the past Trudeau is a leftist and he does not 'get' Islamic terrorism the same way Trump gets it (end the 'diversity' visa program used by yesterday's terrorist, and replace it with merit based one). As far AI and smart cities, we have to wait and see how much the government can change the game. Salaries are low in Canada, and US is nearby. I would imagine smart AI researchers will eventually leave Canada and immigrate to US. I think Trudeau will just be throwing taxpayer money at the Google's of the world, with little to show in return, and in the meantime, leftist media will be celebrating him as the next coming of Jesus.