skysight-inc/HackerNews huggingface dataset:
Earning = get more cash. From a total compensation perspective, you’re better off with a larger operator.
>>The guy, like a serial killer, was completely emotionally unmoved and undeterred by any obstacle or opinion of anyone.

Go big or go home. No doubt not-Stalins were kind and caring and preached Marxism (as they understood it) but they didn't make it that far. Stalins survived. (Survivor bias)

Radical changes can be done only via brutal force. You're talking about property confiscations, massive killings, jailing etc etc.

Now that's a shock: "I have a person here who states she's Stalin's daughter, and we believe she's genuine; unless you instruct me to the contrary, I’m putting her on the one a.m. plane for Rome where we can stop and think the thing through. I’m not giving her any commitment that she can come to the States. I’m only enabling her to leave India, and we will see her to some part of the world—the U.S. or somewhere else—where she can settle in peace. If you disagree with this, let me know before midnight."
https://en.wikipedia.org/wiki/Svetlana_Alliluyeva#Political_...
I think what happens is when you spend enough time thinking about explaining it to others or yourself (for whatever reason), you tend to be able to simplify explanations and find creative ways to explain it. Obviously, it is a mixture of raw talent and something else but there is enough raw talent in this world and not enough something else.
Was it RHEL 6 by any chance? RHEL 6 was never supported by Docker.
Most living sheep probably do know what a dogs bark sounds like, however
Blah bleh bluh
Docker should just merge with Npmjs. Then they might get big enough to get bought up by Microsoft, Oracle or IBM (which I think is their end game anyway).
This isn't something you can get away with in many businesses (at least not in terms of the kind of businesses that would put you in that position to begin with) - and the few you can do this, it's not something you'd want to do frequently because you can end up being seen as an obstruction and that ultimately works against your interests.

I've found it's better to work with them on a compromised phased released / MVP so the customer still gets what they asked for and you are still seen a miracle worker albeit without actually having to do anything unrealistic in the end.

Unfortunately though, there are some businesses that place their sales team too far ahead of the health of their engineers for any compromise to happen and there isn't really much you can do aside taking the overtime pay and move on shortly afterwards.
Well Linux had containerization before Docker came along. The initial release of LXC was in 2008, a decent distance after Jails/Zones but still 5 years before Docker. OpenVZ was even earlier than that, starting in 2005
The employee discount wasn't the only reason from the article. There are a few cited. However, one of the few perks of working a retail job is that the workers tend to get some sort of discount on the products. Its a small token of appreciation, and yet has a two fold advantage:

makes your employees happier

encourages them to buy things at the store and use them, so they can in turn sell them and be more knowledgeable.

Taking away the employee discount may seem to be mostly innocuous, but it can really crush morale and accerlates employees skipping to the next job.
The College Kid Who Built a Secret Tunnel Underneath the Berlin Wall
Nope. Docker's value isn't just its software. It's the support built around it, tutorials, familiarity and common usage, Dockerfiles, huge Docker Hub, existing setups relying on it and so on. Articles like this tend to overlook the value of entrenched technology that works well enough.
The Miss teen universe (Lotte van der zee) died a day to her birthday
The actual good idea of learning anything / or achieving anything comes down to good amount of homework and experience with introspection and improvising. This seems like too repeated and conventional advise, but it works.
At about 16:10 in the video:

> There are all kinds of different controls here, things for user interface, things for spreadsheet like display, here’s a gauge control. There’s also about a hundred custom controls in the aftermarket from third parties, everything from mainframe connectivity to neural networks to-

For someone who was still a small child when this video was made, hearing “mainframe” and “neural networks” in the same sentence in a video from 1993 when watching it now in 2019 caught me off-guard.

I am acutely aware that a lot of what is currently popular in software development comes from many years ago, much of it all the way back from the 70’s. However, I had the impression that things like neural networks were not mainstream until the mid 2010’s basically.

I was thinking that that kind of stuff had mostly been going on in circles of researchers in universities, and that a lot of it had come into “view” of the world at large only as recently as the mid 2010’s.

And likewise in the other direction while I know that some banks and such still run some of their systems on mainframes to this day, I thought most mainframes were gone by the end of the 80’s.

Point being, I guess there is a much more diverse set of computer technologies and techniques in use at every point in time since the 70’s than I tend to think of day to day.

It’s like, I know that HN bubble is a thing for example, but I think the world outside of my bubble might be much larger than I’ve really considered until now, even though my bubble is quite big IMO.
FPGA based board for the Commodore 64 computer to produce YPbPr video output
Get the free book!
He is saying ”you got hired despite being dumb, and the girl that hired you was dumb too!”, which is clearly what he is implying given the context of the talk itself and that nice conspirational quote he put underneath.

I find it remarkable that you can read that slide, where he insults the selection comitte by proxy and one of its female members directly, and not come to the conclusion that he is correctly being kicked out.

What would it take to count as bad? A specific death threat with his signature underneath, or would his citation count balance that out too, as long as the wording is mild?
Subverted Power Cords?
What about OpenVZ (2005) ? It’s not containerizing application but whole VPS of course, but still.

I use it for more than a decade myself and I liked the simplicity of it.
I enjoy hetzner cloud products.
You're missing the point of the author. It's not so much that Docker as a technology is bad; there's nothing wrong with it. The point is that Docker, the company, cannot monetize upon the technology, because the moment they start charging for their containerization technology, people will switch to an alternative container technology, especially now that Kubernetes has won the orchestration "wars" and made it so easy to switch the underlying technology.

Personally, I have to agree with the author and think it's difficult to see a bright future for the company that lives up to its $1.3B valuation.
Anytime a potential new hire submits their sample project in a docker container and I can stand it up and everything 'just works' I am happy. No need to mess with any dependencies and it should work as they intended it.
I don't think they'd try to patrol the entire property on a single battery. More likely just fly out to do a spot check, return to base, swap batteries, etc. If your options are ride a quad bike out there (navigating terrain, fences etc.) or fly straight there and back at 60km/h+ I imagine the drone is a far quicker way to keep an eye on things.

You can keep a Spark in the air almost indefinitely (only landing to swap batteries) with three batteries if you don't mind charging them while they're hot (shortens the battery life a bit) so I'd imagine a Mavic Pro would be able to do as well or better.
There's a marvelous book The Elephant in the Brain: Hidden Motives in Everyday Life Hardcover by Kevin Simler and Robin Hanson which argues convincingly that we are often pushed by motives we don't recognize, and do things for reasons other than what we proclaim: much of what we do is motivated by signalling, even if we are not consciously aware of it. Highly recommend this book!
The NHS “competes in the open market”, so to speak - you pay taxes to get free healthcare for everyone, then you can get private insurance which picks and chooses what it wants to treat and dumps complex cases back on the NHS. Routine treatment is also dealt with by some combination of the NHS and private pharmacies (for flu jabs etc), generally speaking.

Unsurprisingly, private health insurance is not very popular here. It’s mostly just something people get through work.

And I’ll remind you that we spend less per capita on our healthcare than the US does. I’m sure that if there was actually demand to meet that spending, private insurance here would happily eat it up - but there just doesn’t seem to be.
No, it is the insulting of named members of the selection comitte that didn’t hire him that is almost the entirety of the problem.
I would love an engine that knows my blacklist. Stop showing me results from xyz.com!

If they want to go the extra step and identify sister corps, that works too!
Not necessarily, because the backup server could squash backups itself, even when the client is not allowed to do so.
Dogs cost a lot to maintain, think about Vet expense and Food.

Lithium batteries simply need electricity.
Lxc predates docker, and other lesser forms of containerization (or perhaps "precursors") like simple chroot have been around much longer.
If you are doing engineering, then it better to follow engineering best practices, with descriptive names. If you are doing science, it's better to follow science best practices.

For example, we have two competing coordinate systems: first is x // width, y // height, z // depth, and second is x // width, y // depth, z // height. With descriptive names we will have no such problem.

However, it's much easier to load large and complex algorithm into head if it written concisely: one letter per variable or function, minimum unnecessary separators. When I need to understand someone else codebase, I will often concatenate all files, delete all comments and obvious functions (getters, setters, eq, hash, etc.), abbreviate long names via search and replace, remove unnecessary symbols and convert functions and classes into oneliners, until I will see whole algorithm at once. However, reading of such code requires some additional training.

To summarize, it's possible and is easy to convert descriptive names into abbreviations, so, it's better to stick with descriptive naming in public interfaces.
It isn’t listed as an Open Source licence which rules it out for most purposes. https://opensource.org/licenses/alphabetical
‘Sicko Mode’ Has 30 Credited Songwriters. Here’s What Each Did
It seems to me that the Creative Commons exemption that SmugMug put in place significantly blunted the criticism that they were removing a large quantity of photographs from the digital commons.

Personally, I might have preferred that they excluded non-commercial and non-modify variants but, as a practical matter, those probably needed to be included.

TBH, I'm not sure why most people who don't want to pay wouldn't just license their photos CC--what percentage of Flickr users are going to sell photos to any meaningful degree--but maybe increasing CC licensing is part of the intent.
First I'm quite biased against trading (feels a lot like gambling) also, a lot of the crypto crowd is new to trading and are constantly throwing prediction .. or even prophecies .. based on a few chart rules. None of them ever did math in the lives, they barely know about quant but when high emotions are involved you can say whatever confirms the bias.
Ethiopian Airlines plane crash: No survivors among 157 on board
Thanks for reminding me, I forgot to add the file. The license is actually MIT, as you can see on the PyPI page (https://pypi.org/project/pysignald/).
Show HN: RSS/Atom parser for both Node.js and browser
Interesting question. Technically, it is public. The user didn’t break anything or use any nefarious techniques. The web server is configured to list directories which in concert with file permissions makes it public. Not sure how/if this might be analogous to “just because a door isn’t locked doesn’t mean you can go in”.
Locking More Than the Doors as Cars Become Computers on Wheels
Sorry but this is extremely shoddy work. M:tG will never be "solved" like
this.

>> Using data from drafts carried out by humans, I trained a neural network to
predict what card the humans would take out of each pack. It reached 60%
accuracy at this task.

Going by what's in the linked notebook, the model was evaluated on its ability
to match the decks in its training set card-for-card.

Without any attempt to represent game semantics in the model, the fact that
the deck sometimes "predicts" different picks than the actual picks in the
dataset tells us nothing. It probably means the model has some variance that
causes it to make "mistakes" in its attempt to exactly reproduce its dataset.
It certainly doesn't say that the model can draft a good M:tG deck, certainly
not in any set other than Guilds of Ravnica.

>> The model definitely understands the concept of color. In MTG there are 5
colors, and any given draft deck will likely only play cards from 2 or 3 of
those colors. So if you’ve already taken a blue card, you should be more
likely to take blue cards in future picks. We didn’t tell the model about
this, and we also didn’t tell it which cards were which color. But it learned
anyway, by observing which cards were often drafted in combination with each
other.

This is a breathakingly brash misinterpretation of the evidence. The model's
representation of a M:tG card is its index in the Guilds of Ravnica card set.
It has no representation of any card characteristic, including colour. If it
had learned to represent "the concept of colour" in M:tg in this way, it
wouldn't be a neural net, it would be a magick spell.

The author suggests that the model "understands" colour because it drafts
decks of specific colours. Well, its dataset consists of decks with cards of
specific colours. It learned to reproduce those decks. It didn't learn
anything about why those decks pick particular cards, or what particular
cards are. All it has is a list of numbers that it has to learn to put
together in specific ways.

This is as far from "understanding the concept of colour", or anything, as can
be.

There are many more "holes" in the article's logic, that just go to show that
you can train a neural net, but you can't do much with it unless you
understand what you're doing.

Apologies to the author for the harsh critique, if he's reading this.
Not sure why you believe this so strongly, but every single HTTP client impose some limit.

Modern browsers are typically around 100-200k limit, command line tools such as curl and wget also has their limits.

IE was famously limiting GET requests to about 2k bytes.
If someone can figure out how to fix the free rider problem without central control I think everyone would be happy. The problem with the libertarian solution -- purely voluntary charity -- are that a) it is proportional to sympathy rather than need, as many are observing above and b) it amounts to a tax on the generous and a self-reinforcing transfer of economic power and opportunity to the least pro-social members of society. The latter is the free rider problem. When people look back on the golden age of the 19th century or whenever when charity was voluntary, they're remembering the comfort of the fortunate, not the success of this system at buffering the shocks of misfortune.
Even N=1 would be interesting. Not everything has to use a cohort of thousands - when you're demonstrating the existence of a phenomenon, a single case will suffice.
Sure, but we’re still easily 5 years from “all traffic, all weather, all situations” car AI, which is necessary for fully autonomous vehicles.

They already have the cheapest solution for having a driver and a car go around town, so sending drivers with their “autonomous” cars in good conditions is an impressive step, but insufficient for full autonomy and not enough to fix their business problems — they need to be able to send the cars in real life situations with no driver.

So 5 years of technology and 5 years of regulation before widespread adoption is a long time for Uber to have to be spending investor money before they spend investor money on autonomous car fleets in every major city. (Or are they going to lease cars from other people? — it may be then that the cost of leasing vehicles from others never comes low enough.)

The better hope for their investors seems to be the rumor they’re profitable in large, established cities and their costs are expansions and turf wars.
I think you need to take what you see on reality TV with a grain of salt. That's the size of the moon.
Yes, the DOOP folks under Iannis Smaragdakis have been doing this for a while. They use souffle, I believe: https://souffle-lang.github.io/.

This is Semmle's business model (https://semmle.com/). They have a custom Datalog with OO features they call QL.

I've heard LogicBlox used to do program analysis as well, but AIUI they turned more towards business analytics and then got bought out, and the Datalog engine team all jumped ship.

The Rust compiler has been exploring implementing some of their type system (the borrow checker, I think?) in a Datalog.

On the academic front, Tamás Szabó and Sebastian Erdweg have been working on an incremental Datalog engine for static analysis; https://github.com/szabta89/IncA. I know Tamas has worked for Itemis, but I don't know whether they're using this tech.

I'm working on a functional language, Datafun, inspired by Datalog, but it's too much of a toy to do any real analysis with at the moment. All in all, Datalog is still a niche language and static analysis a niche application of it, but it seems to be on the rise.
How does one get involved?
This makes perfect sense: you do away with nationalism, since in their view socialism knows no boundaries and should trump all. The same they say for Islamic Caliphates, you're an Algerian or Malian, you're a Muslim, obey the word of god and that trumps all.
Faroe Islanders’ ritual slaughter of pilot whales turns sea blood red
Only fake awards sell trophies. they give the award to everything and make money in trophy sales. See also SuperDoctors, Who's Who, and pay to publish journals with no peer reviews.
I fail to see how RPM/Deb would be better at this (and I say this as someone who has a lot of experience in both). You will still need to pin dependencies with RPM/Deb, you still have to deal with OS release updates, and in the end it's just a matter of ensuring you frequently update and test your upstream dependencies.
The article is about the company, not the product. Which bits of what Docker provides would you pay for, given free alternatives exist now for basically all of it?
>>> It's fair to say that in the hype cycle Docker (the technology) has passed its peak, but I don't think the conclusion that as a technology, it's finished, is warranted.

That's confusing the product and the technology.

The technology is containerization, not Docker. Containerization is on the rise and will continue.

Docker as a product AND a company, is doomed. They have no business model and no sales. All of Google/Amazon/RedHat/Linux are working on a substitute so they don't have to depend on it.

The hype is in Kubernetes now and managed cloud solutions. Docker is an accidental dependency of Kubernetes, until it's finally get rid off.
Isn't that how it has to work, if you want your insurance premiums to be finite?
But you can have a macvlan setup in Docker.

https://docs.docker.com/network/macvlan/

And you can tell also Docker not to touch your iptables rules.

https://docs.docker.com/network/iptables/

I don't think I've ever run into a container in the wild that is dependent on a specific network plug-in.
The only reason to keep secrets is if they aren't free. Otherwise the secret protects nothing. Freedom is broad and self contradictory. Complete freedom for more than one person is impossible.
You can absolutely visualize why [1, 0] and [-1, 0] is not a basis for R^2! The problem is if you plot them in R^2, then they and the origin all lie on a single line. No matter how you sum copies of these vectors, you can never "escape" this line. Thus, you cannot construct vectors in R^2 that do not lie on this line.
> should disqualify you from childcare and any public schools since you are putting other kids at risk.

In the UK you're allowed to home-educate your child, and we see disproportionate numbers of parents with conspiracy-theory mindsets home-educating. This is because we see larger numbers of "freemen on the land" and "sovereign citizens" in this group.

Excluding these children from mainstream education feels satisfying, but may well be counter productive. At school they get to see all their friends having BCG and polio vaccines (I had these at school, are they still given?) and not suffering any harm. They also get less indoctrination about wierd ideas. And I'm uncomfortable with making the child suffer because they have an idiot for a parent.

So, it's a bit tricky.
They disabled mass-relicensing of photos specifically so people couldn't do that (it's in the article as well)
To be fair, the article is about both. To quote "in my humble opinion the days for Docker as a company are numbered and maybe also a technology as well."
The author evaluted his model's "accuracy" by looking at how good it was at reproducing the decks in its training set card-for-card.

That is no way to evaluate the quality of an M:tG deck. For instance, it can never tell us anything about "sleeper" decks, or about the value to an existing deck of new cards that are added to a format as sets rotate and so on.

All that the accuracy metric used by the author can do is tell us how good the model is at representing the past. I am of the firm belief that WoTC will be laughing in their tea cups in the tought of banning something as pointless as this. In M:tG the past is about as valuable as a hat made of ice in the tropics.

Edit: For some added context. The way M:tG metagames work is that at the start of a season, there are some "decks to beat" that are usually the most obvious ones in the format. As the format progresses, players often find strategies to beat the decks to beat, initially known as "rogue" or sleepers. These can't be predicted by representing the current decks to beat. Some level of understanding of the game and what's important in a format in terms of strategy etc, is required.

Famous example. "The solution" by Zwi Mowshowitz [1] that dominated the 1st Pro Tour–Tokyo 2001 Invasion Block Constructed. Mowshowitz noticed that the dominant aggro decks' clocks (sources of damage) were predominantly red, so he stuffed a deck with anti-red cards, shutting down the dominant aggro decks.

That requires way, way more than modelling the current metagame at any point in time.

_____________________

[1] http://www.starcitygames.com/magic/misc/22483_Innovations_Th...
It seems that texture detection is for NN the simplest and easiest way to recognize objects. I guess early animal vision system used to work this way. Then predators and prey developed camouflage and mimicry, to fool texture detection NNs. So there was strong evolutionary pressure to recognize shapes, which is much harder task, but essential for survival. Probably that's why people see in the picture a cat (predator) and ConvNet recognizes most obvious thing (elephant) in terms of statistics.
The actual article should be https://techcrunch.com/2019/03/09/did-sam-altman-make-yc-bet...

The wording is quite hard to follow as well.
I was at Barnes and Noble yesterday and on an end, I saw an "internet password log book" for $5.98.

A few years ago, I soughed at it, poking fun at it.

Now, it's not a bad idea.
Police buys lie detector tool that measures pupils