skysight-inc/HackerNews huggingface dataset:
The whole point of having a distro with a good reputation is that you can incrementally outsource your trust to them, one package at a time. OpenSSL needs a fix? One package update per machine, and if you have lots of machines, you update that.

With VMs, you can use the same tools you use with any other machine.

With containers, you are responsible for figuring out which ones need which packages and how to re-build them. Your method is likely to be idiosyncratic, so you not only need to be your own security team, you need to be your own packaging maintainer and infrastructure maintainer.

The two extreme versions of this are the neglect model, in which you just don't care about anything, and the bleeding-edge model, where you automatically build with the latest versions of everything pulled from their origins. Both ways end up with unexpected security disasters.
How to Be a Successful Youtuber
AI-powered Lego sorting machine built with Lego bricks
How CSS in JavaScript Works [video]
I like using Artifactory for this, you keep a local copy of all NPM / nuget / etc dependencies hosted next to your build infrastructure.

What shocked me most about NPM is that it used to have absolutely 0 verification built in, yet it was being heavily promoted by very well known, educated and experienced tech celebs. All at a time when it was basically a hobby toy.
I've got her "Hold Me Tight" book here but have stopped reading it a while ago. Good reminder to finish it now.

My impression - even with my parents - was that couples always replay conflicts following certain patterns. Turns out it's really the case.

"we cracked the code of love" would have been a better headline for that article. It's an actual quote from it.
> Something like 5% of museum objects are on public display at any one time, and then, they’re normally only described by a small wall label.

I've heard this before. I've also read that its not that the items are rotated, but they never see the light of day. And its not just less significant works.

Michael O'Hare of UC Berkley argued that museums should sell or at least lease out much of their unseen inventory and use that money to lower or even eliminate admission fees. [0]

Certainly something better could be done. Museum in a Box is at least a step in the right direction

[0] https://www.econtalk.org/michael-ohare-on-art-museums/
Hey,
You have a configuration file that you can console the threshold.

I have created the project with a default threshold (wasteful in my opinion, rds that have 0 connection in the last week)

You can change the threshold very easy if you want to
Yahoo Groups bought a lot of other email list providers. One list I'm on started about three mergers back.
If you can do `./configure && make`, you can also do a `checkinstall` on debianesque systems, which gives you a package so you don't have to do it again.
Can you elaborate on why you prefer it?
That's what I tried doing. The result was that the docker container didn't build anymore because at least one of the packages we used had a a patch release every other day and apt only serves the most up to date version.
A giant, superfast AI chip is being used to find better cancer drugs
I'm not an expert in this area at all, so I pulled that comparison out of a few different articles and wikipedia.

According to [1], the pressure inside the LHC is somewhere between 10^-11 and 10^-10 mbar. That's between 10^-9 and 10^-8 Pascals. CERN also says that it's "a vacuum almost as rarefied as that found on the surface of the Moon." According to [2], pressure on the surface of the moon is between 4x10^-11 and 8x10^-10 Pa. The upper limit is quite close to 10^-9 Pa, so let's say that CERN can manage 10^-9 Pa on a good day.

According to [3], the inside of a nebula is 100-10k times more dense than general interstellar medium. (The "10k particles per cubic cm" figure also comes from the same page.) According to [2], interstellar medium in the Milky Way averages between 10^-15 and 10^-14 Pa. So the pressure inside a nebula should be between 10^-13 and 10^-10 Pa. Another comparison using the number of particles per cubic cm [3] yields a figure between 10^-14 and 10^-12 Pa. The difference is probably due to temperature, but anyway both results are significantly less than the LHC.

We can probably make better vacuums on a smaller scale, though.

[1] https://home.cern/science/engineering/vacuum-empty-interstel...

[2] https://en.wikipedia.org/wiki/Orders_of_magnitude_(pressure)

[3] https://physics.stackexchange.com/questions/26326/how-dense-...
What a great story. Unfortunately, it's really sad that in the past few years, the RSA was complicit with pushing backdoored algorithms, i.e. Dual EC DRBG, and even setting it as the default RNG that rendered the entire cryptosystem crackable to the NSA.

There is no reason to trust RSA whatsoever today. In fact, they should be actively distrusted. See https://en.wikipedia.org/wiki/Dual_EC_DRBG
Debian is (mostly) low on the drama, but high on the expected package quality. It's not surprising they'd have problems here.
OS X/MacOS is dead?
would you feel better if your Makefile looks like this:

install:
[ $(id -u) -ne 0 ] && echo 'please run sudo make install' || curl https//my.thing | /bin/sh

it goes back to what jve said - it's a matter of trust. how often do you blindly run 'sudo make install' w/o reading the entirety of the build script? all the time I bet - it's because you trust the source
Spark is worse because you need Scala as well as regular Java.

I've tried building it for my day job, I would rather have a colonoscopy without sedation.

It's more pleasant and dignified.
Standard Makefiles are really under appreciated today. They are simple and can be used with most any language, version controlled and have been around for decades.
Greensock is by far the best JavaScript animation library I’ve used in the past 12+ years, and I’ve used a lot. It’s not react specific, but that shouldn’t really matter.
because is easyer to update and add.
We collected some entries in this weekend but there still many terms to add :D
But great idea to add in the future, tnx
IBM Showcases A.I. That Can Parse Arguments in Cambridge Union Debate
The server instances are free though, google only charged them for the datatransfer to those instances.
I don't think it's specific to just younger devs, but there absolutely is an argument for having your own artifact repository that you can control.
I'm looking at this from a relatively neutral newbie POV. I've tipped my toes in both administering machines the "classic" way and with tools like Docker and Docker Compose. To me both have their benefits and drawbacks but Docker looks a bit better overall. Here's why:

1) The idea of immutable systems rocks. It feels like the logical next step from containers.

2) This is maybe just because of me but I have the feeling services that can easily be (automatically) updated (like with Docker) are gonna be more up-to-date on average than when I have to build every new version myself. (Although that could be automated probably.)
There have been attempts to make liquid propellants work - which sound, perhaps not surprisingly, a bit like the problems associated with rocket propellants:

https://en.wikipedia.org/wiki/Bulk_loaded_liquid_propellants

[Inset obligatory 'Ignition!' reference].
Because it's a niche tangent of an already niche language.

I'm only aware of it because a databases course taught it (relational algebra to datalog to SQL) and I thought it was superb, and a couple of times since I've tried to find if I can use it, but it seems to suffer from the combination of age + academia + proprietariness that makes such things hard to discover and use. (Compared to graphql and plethora of open source libs on Github, etc.)
I'm not sure I understand. How can you believe in UBI and still believe that it's up to private initiatives to care for those who can't provide for themselves?

As for your second point: I wasnt aware we're only here for that? That's in any case not my agenda.
also, to clarify things a bit: in my first comment i got a bit mixed up (fuck yeah lifelong learning disability) trying to make my point about lifelong attainment and the IQ analogy and made it sound like the paper in question was about IQ, which is incorrect.

The point stands however: controlling for educational background is a thing you can do in such a study as according to the factors I pointed to, and gwern's glib comment is wrong
That benefit isn’t free. It’s padded onto the product price and subsidized by non CC users.
Why your chat notifications might go undelivered, and what you can do about it
I've seen stats that show that most people are already aware of the climate emergency and that it will have an impact on their lives.

Just a small minority still blocks off reality successfully.

So by now it's time to talk about actual solutions not to try to convert those who "don't believe in science".
Linus Rejects “Size of Member” Change from Linux 5.5 Kernel
Ad hominem attacks are unproductive and specifically disallowed on HN.
The .inp files in the qa directory seem to be the only samples. The user guide looks mostly reference.

Note to anyone posting a new language experiment: samples are critical!

https://github.com/gregfjohnson/aplette/blob/master/qa/print...
But can you expect the merchant to tell you to buy less?
"With just a small yaml file, two functions and some shell commands, you suddenly have an API which autoscales automatically and you only pay when the API is in use. I think that's pretty cool!"

I am always puzzled about this "autoscale" thing on a cloud.

If your task can be represented as something like calculate sum of some ginormous array then sure. Split array in parts and launch thousand instances each working on it's own slice and then combine.

In way more common situation you have a service hitting database and doing something with it. Sure you can spin a thousand instances of said service. But they will all be hitting the same database. So in reality I think the only really scalable part here is the database. And scalability in databases has no universal solution and the ones that exists come with the load of caveats.

I think unless you operate on FB/etc scale the simplest and cheapest solution would be to buy/rent nice piece of hardware yourself and place database on said hardware. That should give you a nice run for your money and free you from bazillion layers of abstractions, dependencies, etc. that often tend to fall apart.
The "one package at a time" model assumes you care about per-instance uptime and bandwidth costs. The "reset the world" model assumes rebuilds and reboots are cheap enough not to have to.

I don't think either is necessarily wrong; there's not a huge distance between `apt-get install unattended-upgrades` and a daily (weekly, whatever) container rebuild except that you need to cron the latter. Unless you're using a different OS between the two cases, they can use the same package database, the same tooling, and so on.
It is way bigger then security, and hits upon quality of life and reliability.

Without a deterministic build I don't know what I check in actually works across environment, or if the deployment artifact works.
RE scalability of databases, it is a problem which happens when some of the autoscaling instances are paused in the background and the DB runs out of connections. Amazon's solution is just spend more money on databases
> For example, the Toyota Prius was released to the general public in 1997, having won Car of the Year in 1998. Tesla was founded in 2003.

But the Prius is not an electric car. It's a petrol-electric hybrid where the electric part is merely a clever way to optimise the petrol engine usage. You can't drive more than 1 or 2 km with the electric motors.

Indeed even now Toyota don't have any fully electric models and they are very much behind the other manufacturers in other than hybrid technology. So I can't say that Toyota is a good example for this.
I'd say the opposite, lower generational average savings produces less entrepreneurship, as less people is capable of funding little adventures or have a bed to fall back to. If everyone needs to pitch from the ground to investors, starting a business becomes way more difficult.

It's only a guess, of course.
IIRC correct bandwidth costs have been essentially flat for the past decade or so. Not coming down.
Sell talk and buzzwords. Either author has no idea that Hadoop is ecosystem and Spark depends on it or deliberately mix Hadoop and Kubernetes, which aren't much related.

And good luck running Spark without Hadoop ;)
> He also has some solutions for Advent of Code.

I had looked at his 2018 Advent repo and was disappointed to find that he simply pasted his input directly into the code, whereas I like to compile generic binaries that can read inputs from the command line. However, it looks like his 2019 solutions for days 1 and 2 at least do read input from a file, so this year looks like it'll be a better starting point.
Linux Extended BPF (EBPF) Tracing Tools
In 2015 I was running docker containers for a Gov organisation, where:

- docker containers were built from source

- Dockerfile published with the code

- Built in a new CI environment

- Pushed, Pulled and deployed from the sha

- Collecting network traffic, undertaking protective monitoring, that looks for those backdoors.

Just because you can pull arbitrary bullshit doesn't mean you have to.

Though for the record, the same sysadmins that whine about newer tools are generally the same ones that implicitly trust their older toolsets. Just because you can compile it, doesn't make it secure, so you need to be running monitoring solutions and hedging your bets no matter the tech.
AI has advanced so far it might be able to win the Bulmer-Lytton fiction contest.
True. But at least it doesn't auto-download half the internet (with new and improved vulnerabilities of the day) and dump it all in your "project directory" (whatever that might be, I'm still fuzzy on the exact definition).
Well, looking at the history of Jobs in particular before he came back to Apple, I would say just the opposite.

The Lisa, Apple ///, original Mac, and the NeXT were all failures because they didn’t get the importance of actually creating products that people wanted. Engineers seldom understand the needs of the broader market. The “Engineers” also gave you great stuff in the mid 90s like PowerTalk, QuickDraw GX, OpenDoc, and other products that no one wanted.

As far as creative people - letting them take over gets you the trash can Mac Pro, iOS 7, and the MacBook keyboard.

Engineers are infamous for not wanting to deal with pesky things like customers and usually don’t care whether their designs can lead to products that can be produced at scale. Apple would still be floundering without the “MBA types” like Cook who got operations under control and Schiller who was over marketing.

Scully - the “sugar water salesman” - saved Apple the first time around after the missteps of Jobs.

Even today you can look at Google to see what happens when you have great engineers but no leadership. They are still an ad business despite years of trying to diversify.
Curious: from what I can see, a type system is really just an embedded declarative DSL for doing set algebra.

So is there a technical reason why education and implementations always intertwine it with a larger client language, rather than treating it as a complete, self-contained entity in its own right? Or is that lack of decomposition just oversight?
OpenDoc came straight from the Advanced Technology Group. It was definitely engineering led.
Keynes? He did lose his first fortune, but went on to make another.

Also possibly Jesse Livermore, who made many fortunes but also kept on losing them.
If I understand the kernel development process correctly, this means it's on track to land in 5.6 (since 5.4 is the current stable and the merge window for 5.5 is already closed). Correct?
Probably. Now that the groups I am concerned with are migrating to our own hosted BB, we are also planning to migrate the associated FB groups away. For that, we expect to lose data in the process.
That's the point of WSL2 — FS perf was quite bad in the first version (although I still use it regularly!).

Well, that and getting the rest of the missing syscalls in... But FS perf is what I'm most excited about.
This is the journal paper:

https://journals.ametsoc.org/doi/10.1175/BAMS-D-18-0270.1

It looks like they are focusing on "sources of predictability", i.e. weather phenomena on sub-seasonal scale that can be observed and then it can be predicted what will happen next.

So the methodology works better in certain areas of the world where well-defined sub-seasonal oscillations in the weather are found.

They have used an ensemble of different models, and have done predictions on several decades of weather data, as well as one year of "live" predictions and comparison to what actually happens.

From what I can tell, it seems like the best predictions can explain ~16% of the observed variation in weather.
Not that I know of. Lawyers (hopefully not guns) and money would be needed. Suggestions?
I guess that we disagree on the relative merits of minimum wage laws. I tend to see them as a very blunt tool. In the short term might work, but long run no impact (nothing changes) or negative side effects.

In the case of your example, if all companies increase wages all at the same time, then you end up pretty much in the same spot you started. Goods and services' prices adjust, companies make less profits, rents increase -- i.e. no actual increase in production (or housing) in the economy that might help the poorest the most. Some industries might be able to pass on the wage bill entirely to customers, others will get squeezed and stop investment and entry of new companies. It all depends on elasticities and the studies that we usually see trying to measure that show that shareholders are not the ones that get hit the most.

If we want the poor to be able to afford more appliances, we need to make those appliances cheaper to produce. And to get there we might need many industries paying people very little, so that we can get off the ground somehow. This example is easy to visualize when looking at China or Bangladesh. But even looking at Europe as a whole it is very clear in my mind that countries like Greece or Portugal still need to cover at lot of ground in this manner. Former communist Eastern Europe countries are already surpassing GE and PT by following broadly that scrip. And even UK and Germany would only be bottom five if they were considered US states (in GDP per capita adjusted by purchasing power). And inside the US there is a massive gap between NY and Alabama. And NY itself is plagued by super high rents because we don't build anymore.

It sounds cruel to imply that a $15/h wage for the lady in the article is not going to help her. It will, but in the short run only. It also sounds impolite to mention that many people in her situation managed to turn their lives around out of that kind of precarity. Many will on account of their smarts, resilience or luck, but many will not. For these the only true hope is that we manage to increase the number of companies and productivity of all companies in the economy. So that we end up with very high productivity industries (read, than produce a lot for low prices) such as oil and gas, car industry, food production, appliances industry, hopefully home-building, “subsidizing” the rest through low cost products and competition of all those low wage, and unskilled jobs. Mandating minimum salaries is like chasing a unicorn.

Side note. In the article she mentions that she is trying to save for a car. Cars in the US are much cheaper than in Europe, and if you go to e.g. Argentina you would be surprised by how much a pile to junk is worth in the second hand car market.
Reminds me of this: https://www.youtube.com/watch?v=U4okFm62gxk
Well, if you really need the autoscale feature to handle sudden and ludicrous spikes of traffic, you will most likely also use a database that autoscales too. i.e. DynamoDB.

For most applications, it's really not needed though.
You missed the bigger point.

Just look at the popular images on Docker hub.

A lot of them involve messy build steps, including downloading binaries or source tarballs without verification.

It's often hard to know which dependencies a Docker image has, and therefore hard to track vulnerabilities and redeploy fixed images.

A lot of docker containers end up either running for a long time, or get rebuilt and redeployed often, but have pinned versions of base images or dependencies which still leaves vulnerabilities in place.

This is compensated a bit by the fact that Docker does provide somewhat decent isolation, and most containers are run in a cloud environment, behind load balancers and with decent security constraints. But there are many pitfalls in the whole process.

Containers provide a lot of advantages, and are certainly where things will continue to go.

But we need to figure out the tooling and ecosystem story to build, verify and update container deployments securely.
Human babies also learn the pre-constructs for the languages being spoken around them while still in the womb, so no reason they can't learn other repeated noises.
Turning up the HEAT on car thieves with cloud traffic technology
Financial Services Marketing: Best Digital Practices Guide 2019
>Can I be controversial and ask what justifies such expenses? Why is this game so important that it needs to be up and running so badly?

Most popular Games, Movies, etc. cost orders of magnitude more. The value is typically entertainment.
Yes, when a group owner wants to migrate to another platform - a bulletin board or the like - they need to be able to get all the group associated data so they can reconstitute their community.
I think Plan 9 predates this by a good bit.

https://en.wikipedia.org/wiki/Plan_9_from_Bell_Labs
I prefer the PSP for this purpose myself.

https://github.com/pspdev/psptoolchain
Using history to understand hidden wealth in the UK
Is there any tl;dr ? Thank you in advance.
Most people who have used this product haven't really tried the alternatives so I don't really think that Pilot is better than the others, just different in that Pilot uses Javascript as a scripting language, is easy to setup, and is Open Source.

But https://www.retool.io, https://bubble.io/, Mendix, Outsystems, Oracle Apex are all much better paid options than Pilot

And https://www.lazarus-ide.org/ is probably a better Open Source option

Anyway, it is still very early days for this tool, so still a long way to go
I don’t think it’s age so much as it’s “well, that’s just what everyone does now”.

If you want to work in this industry you have to follow the herd; for better or worse.

I certainly don’t agree with it, but people have bills to pay.
But it's not a product you can sell or artificially inflate its monetary value so out the window it goes.
Show HN: Things I love about 9-5 job
>Market data services such as Reuters/Morning Star provide incredibly clean data at great convenience for anything you can imagine, even including astronomical data.

Incredibly clean ,that's a very big stretch.

Source: have worked with TR sirca db for almost a decade.
This will mean a lot for the future of WireGuard and VPNs if it catches Ubuntu 20.04
Penguin used to do that decades ago in the English speaking world -- their paperbacks were all the same with nothing more than the name of the author and the title on an orange background(https://en.wikipedia.org/wiki/Penguin_Books#/media/File:Imag...). But they've moved away from that except for intentionally "retro" editions.