skysight-inc/HackerNews huggingface dataset:
Ive been looking for the same thing. Tried dokku and it was painfully slow. Tried rolling my own solution via git hooks but other devs had problems with execution. I would love to hear more about people running dokku on Digital Ocean (I was on a beefy azure server)

In a very specific case, Heroku is the best solution for my problem. Sounds like it is for you too.
Blog – Takis Athanassiou – Leadership Initiative
I think I will be fine, thanks.
I'll stick to my shell scripts, so far they've outlived any other devops fad.
A Performance-Analysis Detective Story: Resolving Lock Contention in Apache Solr
Oh god, a proper nutter then.
Did you read this on an Xbox?
Additionally, being laid off usually results in at least a respectable severance package. Being fired generally means you only get the minimum legally owed to you.
We should find better representatives for science than Cox
What China's Quantum Satellite Launch Means for Global Communications
I think you may have to rely on experienced trainers rather than research papers as the research may not have been done or be poorly designed. The other option is to experiment on yourself and find what works for you.

One thing I would expect, though, is that unless you're a professional athlete chasing that last 1% of performance, the difference in effects is unlikely to be noticeable.
Yes. We will have to directly look at GR to verify. But as I said before, it might be easier to do the investigation first with EM and then compare to GR rather than look at GR directly.

We don't know what quantum gravity says. The job of the theorist to form self-consistent theories and find the strongest predictions of these theories. When we get experimental data we will find out which theories are falsified.
What was the benefit you envisioned?
Kubernetes/Docker will become increasingly accessible to developers and it will loosen the reliance on lock-in PaaS like Heroku - This is the future; I'm betting everything on it.

With tools like Rancher http://rancher.com, you can already see things moving in that direction. Next step is rancher-as-a-service.

When it comes to developers, I think open systems will always prevail in the end (it's just more flexible).
Your browser is dead. Use servo instead. Works on servo.
This needs a "(2015)" adding to the title.
What do you mean "in your region"? TopTal only gives you clients in your region? If so, why would I use them when all my clients are in the US? Hell, why would I not lie and tell them I'm San-Francisco-based? The only difference it'll make is that I get higher rates.
I think that splitting into micro services is valuable if and only if you reach a scale where it makes sense to split into micro services. By scale, I mean the number of people on the team (if you have a lot of people, it can make sense to split into micro-services to limit communication bottlenecks between developers) or in term of traffic, in which case microservices can be very useful to better optimize the system piece by piece.

A small team starting a new project should not waste a single second considering microservices unless there's something that is so completely obviously decoupled in a way that not splitting it into a microservice will lead to extra work. It's also way easier to split into microservices after the fact than when you're developing a new app and you don't have a clue how it will look like or what the overall structure of the app will be in a year (most common case for startups).
Is there a difference?
Navy Pilots Describe How the F-35's Brains Will Change Air Warfare
I also want to add my 2 cents on that. I am terrible at white-board/ phone interviews but recently I think I was able to crack at it, and here are my thoughts about it:

- go to the root of the problem, run some examples by hand and try to think as a computer. e.g., I was at apple interview and there was this trick question that could be solved using a modified version of binary search. When I ran some example I kept asking myself "if I know that this element in the middle of the matrix is smaller (or larger) than X, what does that mean?"

- be very comfortable about big O notation. If necessary, be ready to present some formula.

- show that you can do the brute force solution. Sometimes the brute force solution seems very stupid (e.g., enumerate all possible subsets and find the best one), but you need to say it!

- most of all, be confident, but not arrogant. It is not the end of the world to not know something, but it is important to show what you do know!
Too pithy for the down-voters apparently. This comment made me laugh. What x86 taught me is that: CISC = RISC + microcode.
remember? Thomson Reuters on demand APIs are still largely SOAP based.
> [We] are able to solve this mixed type problem much more efficiently than techniques like gradient decent.

Naive gradient descent is probably the simplest strategy that one can imagine. How do your algorithms compare to Newton methods for minimizing the primal-dual gap (interior point methods)?
(rate of) change in memory per user

150MB - 100MB
------------------- = 50KB/user
2k users - 1k users

no?
Info from last year, based on hearsay: average rate in a poor-ish country in South Eastern Europe was $27/hour. I've heard of people who make twice that, which is probably the around the maximum for this region.

Since region matters, someone in the UK will get more, I don't know by how much, depends on experience and skill-set. I doubt, best-case, it will be an integer multiple of the maximum above.
I do not usually believe in any vendor provided performance benchmark unless I fabricated it myself. On a more serious note, benchmarking is pretty hard and people usually discount things that seem minor until you found it the bottleneck, like the interconnect in this case for example. Another problem with synthetic benchmarks is that you can always optimize for your exact use case and it usually yields to pretty good improvements, comparable to buying faster equipment. The ultimate quiestion which is more cost efficient, buying faster CPU/GPU or hiring a performance expert.
A Veiled Warning on Artificial Intelligence from 1966
CCProxy 8.0 Crack Keygen and Serial Key Free Download
> If you look at functionality per instruction byte, RISC is fairly low.

You should watch this video: https://www.youtube.com/watch?v=Ii_pEXKKYUg

The most important information therein is that the difference in code density is minuscule between x86, ARM and RISC-V. The differences between GCC versions is even bigger.

> The equations that you have to resolve to issue an X86 instruction are simply more complex than for ARM, and all that bit-flipping consumes power.

It's actually just 3-10% of power consumption [1] and I even heard it claimed that the instruction decoding on ARM is larger than x86

[1] https://www.usenix.org/system/files/conference/cooldc16/cool...
Question:

Is there an advantage to using docker when it takes 3 hours to rebuild our relatively small database?
Trouble with giving to charities is it's not very personal. Ok you may increase the world's anti malaria budget from $1.5bn to $1.50001bn but you can't turn around and say look at this cool thing I built.
Not quite. There's still the matter of the Callendar effect:

CO2 increases. -> World warms a litte. -> Baseline level of water vapor in the atmosphere increases. -> water warms a little more. -> Baseline level of water level...

That's where computer modeling becomes important.
Sure, you don't have to call me an idiot. But claims of sea level rises of 10' are between three and five times higher than what any reputable source I've been able to find would posit in their worst cases for the next hundred years (e.g. [1]).

The difference between a two-foot rise in sea levels and ten feet is the difference between something we could realistically do something about, and an apocalyptic vision.

[1] http://www.mpimet.mpg.de/en/communication/climate-faq/how-mu...
True, however the cloud vendors do not have Intel latest greatest hardware either, so than comparing latest Intel Phi to some older Nvidia GPU does not make sense.
I thought it's more important WHAT you run inside containers than containers itself.

I got really upset about this rancher tool because it doesn't design my database schema.

Shit, future was so close.
Lp0 on Fire (aka Printer on Fire) (Wikipedia)
saw done properly once, with good separation of services etc, but it still required a truckload of commitment to make it work, because one thing is interface changes when the code just don't work when you merge, another is figuring out the publish and restart order of each service when you have to add an operation so you don't have to knock out the whole system at every upgrade.

I don't really like that model applied to everything, but eh now you are kind of forced in a hybrid approach - say, your macro vertical plus whatever payment gateway service, intercom or equivalent customer interaction services, metrics services, retargeting services, there are a lot of heterogeneous pieces going into your average startup.

but back on topic, what Docker really needs now is a whack on the head of whoever thought swarms/overlays and a proper, sane way to handle discovery and fail-over - instead we got a key-value service deployment to handle, which cannot be in docker and highly available unless you like infinite recursion.
Nuance taps deep learning to improve Dragon speech recognition by 24 percent
Reminds me of https://www.youtube.com/watch?v=b2F-DItXtZs
Getting the same issue with chrome 52, windows 10 and a r9 fury.

[.Offscreen-For-WebGL-043C4318]GL ERROR :GL_INVALID_OPERATION : glReadPixels: demo:1

Issue with amd cards maybe?
Depends on what you mean by genius. I always assumed that people meant by it someone who made an original contribution to the world, did something unexpected and clever in the widest sense of the term.

Most of the few child prodigies that I am aware of haven't done that.

But I don't begrudge him the chance to get ahead if that's what he wants. Starting early means more time to change direction later. Missing a childhood, well, one person's idyllic childhood is another's vision of hell so let's not all judge too harshly.
If you would like to measure Docker overhead it would perfect. Unfortunately not all the world is using Docker for everything so running performance tests using the least amount of complexity is usually better for these tests.
NASA Space Robotics Challenge Prepares Robots for the Journey to Mars
Deis will do exactly that.

http://deis.io/
>Any positive experiences with micro-services here?

It makes sense for some thing. We run a webshop, but have a separate service that handles everything regarding payments. It has worked out really well, because it allows us to fiddle around with pretty much everything else and not worry about breaking the payment part.

It helps that it's system where we can have just one test deployment and everyone just uses that during testing of other systems.

I've also work at a company where we had to run 12 different systems in their own VMs to have a full development environment. That sucked beyond belief.

The idea of micro-service are is enticing, but if you need to spin up and configure more than a couple to do your work, it starts hurting productivity.
VLIW is pretty much the same as a superscalar processor, except that the compiler has to do most of the work. Almost all high performance CPUs nowadays are superscalar.
> They, apparently, have a problem acknowledging that they do not value privacy and security as much as they value novelty.

Belittling the contribution of scripting to the web as mere 'novelty' is rather disingenuous. I could list other benefits but I suspect you're already aware of them and discount them because they don't apply to you.
"It is impossible to have accurate conflict-free replicated data. Unless the users are given the opportunity to manually resolve conflicts, it will never be 100% accurate [...] The root of the problem is that the system cannot understand the collaborative intent of concurrent users"

CRDTs are usually designed to model user intent. You just need to pick the right CRDT for your use-case. From there, the CRDT will resolve conflicts automatically and accurately. Your statement regarding impossibility would be true of operational transformation, but certainly not of CRDTs.
This needs more upvotes. Like creationism, global warming denial is one of the myths that has strong support on the 'developed' USA yet no basis in actual proof.

The thing is: this issue is vital to our survival (while creationism isn't)
Synthetic biological nanowires to conduct electricity
_wexec and friends. It internally uses CreateProcess obviously.
Artificial Intelligence and the Language Barrier
I think you're largely getting downvoted because of your tone.
A Charming Alternative Universe of You, Your Friends and No News
> Any positive experiences with micro-services here?

Yep. We already had a feature flag system, a minimal monitoring system, and a robust alerting system in place. Microservices make our deployments much more granular. No longer do we have to roll back perfectly good changes because of bugs in unrelated parts of the codebase. Before, we had to have involved conversations about deployments, and there were many things we just didn't do because the change was too big.

We can now incrementally upgrade library versions, upgrade language versions, and even change languages now, which is a huge win from the cleaning up technical debt perspective.
If you use KDE, you can read man pages in konqueror with the man:// scheme. For example, man://ls shows you the man page for ls. The links at the bottom are also real links that take you to the linked man pages. It's honestly a really nice man viewer but very inconvenient to invoke from anywhere.
There are 2 major issues with this:

1) Small teams (~1-5 people) trying to seem "big" by working at Google's scale.

2) Heroku's prices. We are currently (successfully so far) migrating a small Django project from bare Amazon EC2 instances to ECS with Docker. Even using 3 EC2 micro instances (1 vCPU, 1 GB RAM) for the Docker cluster we would spend ~8 USD/month/instance. With Heroku the minimum would be 25 USD/month/dyno. That's a 3x increase in expenses.

It's very possible to take advantage of technologies like containers without getting too caught in the hype.
Fork is simple, but not easy.
What a nice clickbait title. A is better than B, even though A is an apple while B is an orange, and we use them for entirely different purposes. Some functionality provided by Heroku can be replaced with Docker, and some missing features of Heroku are in the Docker infra, that can be added to Heroku using software (like service discovery: https://blog.heroku.com/managing_your_microservices_on_herok...)
Turkey to free 38,000 people from prison to make space for alleged coup plotters
> have a separate service that handles everything regarding payments. It has worked out really well, because it allows us to fiddle around with pretty much everything else and not worry about breaking the payment part.

Is the payments service a single service that manages the whole transaction, or have you go for multiple services handling each part and, if so, how did you manage failure with a distributed transaction?
Indeed. Pioneers are the people with arrows in their backs. For a stable system it's reasonable to wait before adopting change; especially if large areas of the existing system are built with a previous technology. Moving to new changes results in internal inconsistency, and possibly problems at the boundaries.
Assange implied no such thing, and specifically debunked the meme that he did.
I'm building a podcast discovery app and I find myself being de-facto pulled towards modularity. It's because my feed checker is in Elixir, my site is WordPress-based, and I communicate between them using the WP API, and I'm using Google Cloud SQL, and Elasticsearch on its own virtual machine...

The thing is though, the Elixir feed checker has its own database table that tracks whether it's seen an episode in a feed. And when there's a new episode it sends an API call to WP to insert the new post. The problem is that sometimes the API calls fail! Now what? I'll need to build logging, re-try etc. So I'm thinking of making the feed checker 'stateless' and only using WP with a lot of query caching as the holder of 'state' information about whether an episode has been seen before.

To sum up my experience so far, there's something nice about being able to use the right tech for each task, and separating resources for each service, but the complexity--keeping track of whether a task completed properly--definitely increases.
Indeed, the goal is to solve your business problem with technology, not use Docker for everything that you can find in your infra. Many people are mixing up the two. Docker can be replaced with anything that is hyped at this level.
You misrepresented it as a basis for her position.
Almost, does lambda track resource usage down to cpu cycles, heap usage, and network bandwidth? I've contemplated adding scripting language support for my BaaS project with this level of accounting, but from what I've determined, it would require creating a new language, or a new runtime for an existing language, or Lua. Lua's is simple and easier to modify from what I can tell. Unfortunately, no ones writing web apps in Lua, aside from the OpenResty guys.

The goal being the utility model of computing, pay for exactly the cycles you use, no more, no less. Off premise on demand. Like tap water.
Deep Equal algorithm for value comparison and strict equality for value types
As a former more than sceptic:

The first sentence is spot on.

Sadly (or not, I'll come back to that) I think the rest is a misunderstanding:

These two points are easy. What you are arguing against is people like my former self who accepts measurable physics but find (found) the A of AGW thing fishy for other reasons:

* The broad push that seems to come from non-scientists.

* No mention about how much of the annual CO2 releases are anthropogenic vs coming from other sources.

* Any question, however reasonable, get shouted down with "consensus", "denialist", "troll", "shill" etc etc.

It was only when I started reading the actual report that I got a more enlightened (hopefully) look at it.

All this shouting and bullying does little good and is basically collecting sheep and preaching for the choir IMO.

Now the good part is I think a lot of us aren't evil, trollish shills paid by big oil, we just had a strong false positive on on BS detectors, asked and have been flamed ever since.

(Full disclosure: not pushing AGW hard myself but it seems reasonable to assume it is correct and take action to reduce anyway. It also aligns with things I already do because I find them smart anyway like trying to conserve energy by using public transit (oil independence, economic reasons, can work on my way to work), recycle(reduce need for mining, conserve energy, pollute less) etc etc.)
Online Gift Registry
If the system is based on merging, then in general it is not a good solution. It works in a lot of cases (see git), but essentially, on every merge the algorithm does a "hmm, how did these changes happen?" instead of taking into account the semantics in a rigorous way. But in many practical situations, merging can be considered a very useful "hack".
Lovin' it!
NSA website down for 1 day after hackers take out its affiliate
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never touch a running system...
I do have a positive micro-service experience, and although we are still in that process of breaking down our monolith SOA based app, we have seen the benefits already.

The more dramatic effect was on a particular set of endpoints that have a relative high traffic (it peaks at 1000 req/s) that was killing the app, making upset our relational database (with frequent deadlocks) and driving our Elasticsearch cluster crazy.

We did more than just split the endpoints into microservices. We also designed the new system to be more resilient. We changed our persistence strategy to make it more sensible to our traffic using a distributed key-value database and designed documents accordingly.

The result was very dramatic, like entering into a loud club and suddenly everything goes silent. No more outages, very consistent response times, the instances scaled with traffic increase very smoothly and in overall a more robust system.

The moral of this experience (at least for me) is that breaking a monolith app into pieces has to have a purpose and implies more than just move the code to several services keeping the same strategy (that's actually slower, time consuming and harder to monitor)
> No real information was presented here, just assertion on either side.

So just a regular episode of qanda then? It's honestly one of the more frustrating shows to watch most of the time.
You use the word 'science' like it's an ideal and not a practical set of techniques used to discover natural truths and convince each other of them.
wait. you're comparing $25 with $75. it is 3x but it's still accounting noise by any standard imaginable unless you're running a charity server for an open source project.
As a black man there is no way I can give my kid any toy that looks even remotely like a gun.

That a black guy invented this thing makes this even more ironic.
There are even package managers which host all their data / indexes on Github ( https://github.com/CocoaPods/Specs/tree/master/Specs ). I personally also back up encrypted data on Github.
Your micro instance has cpu credits while your docter cluster does not? So price increase is expected...
"Why don’t I just use Google’s thing?

"-You think that’s going to be around in 6 months?"

Isn't reputation a thing of beauty?
Yeah, good question.

There are certainly more privacy-conscious services, but FastMail is good enough for what I'm looking for. The big thing being that they don't analyze my email for advertising purposes.

This list is about a year old, but it provides some more privacy-conscious alternatives: https://www.prxbx.com/email/.
This is structured like one of those Xtranormal do-it-yourself cartoons from a few years back.
May I suggest a third point on your list?

* All that coal and oil wasn't going to burn itself!
> or turn up with cinder blocks

Why not?
I was just yesterday called to schedule an interview... >.>
You may find plenty of results if you search for “[macronutrient keyword] intake timing” on PubMed. But as mentioned in another comment it may be worthwhile to find trainers or dieticians who have been doing this for a long time and see if they had written up anything based on their findings with their clients. You get the best of both the anecdotal and controlled experiment worlds.
imgd: Multiprocessing JPEG/PNG image resizer and rotator
China launches the first quantum communications satellite. What's that, exactly?
> Yeah, Cisco won't disappear any time soon, but their market is shrinking.

do you think cisco is in danger of becoming SGI of networking ?
That's amazing! But not sure how a 12 years old will handle being at a college but I guess that's where he needs to be to advance and further challenge himself.
Not really (though your desire to "shut down" dissenting views speaks of something other than science). Most skeptics accept the well-known ability of CO2 to absorb heat. What many are skeptical of is the Mann-made disaster associated with warming, the political skullduggery involved in the hockey-stick graph, the denial of the impact urban heat islands have on the surface temperature record, and the fact that the solutions called for conveniently intersect with the desires of many on the left of the political spectrum (higher taxes, co-ordinated international action etc).
Looks good as a self-hosted option.