skysight-inc/HackerNews huggingface dataset:
Yes. The Department of Education in Orange County called me once for a contracting gig-- The absolute highest they could pay was $60/hr for what at the time was a very specialized skillset. And they had all sorts of ludicrous restrictions-- part of what they wanted to do was an enterprise iOS deployment-- they only had one mac-- and only a certain guy was allowed to use it. It was just utter horseshit.

I still really wanted to take the gig to make contacts, but I couldn't justify taking time off more lucrative gigs.
This is natural commodification of compute, especially with such large deployments where there will be a lot of in-house tooling and apps that just need raw compute and storage to run, no matter where it comes from.

The rise of containers and Kubernetes makes this even easier now. It'll be interesting to see how the clouds differentiate beyond this as most managed services are still rather underwhelming compared to the hype and are also often beat by Kubernetes deployments if available.
>And while the individualized profile-driven manipulation exposed by Cambridge Analytica feels abhorrent, it's really no different from what every company wants in the end. This is why all your personal information is collected, and this is why it is so valuable. Companies that can understand it can use it against you.

Couldn't we also say they are using the data for us? Or a least in a way that benefits them, but does no harm to us?
Wittgenstein is like a rock band that abruptly changes style at some point in their career, alienating many of their fans but gaining new ones. One of my philosophy professors used Radiohead as an example, with (I believe) OK Computer as the turning point, but I don't know Radiohead well enough to judge that particular analogy.
>Also by Russell: A History of Western Philosophy. It has various critics, for good reasons, but it's as good a walkthrough of philosophical developments in the West as anything you'll find.

There's also the entire audiobook on YouTube, which is fantastic: https://www.youtube.com/watch?v=c0fK0ZuAcbU&list=PL6BE82595A...
> Your original thesis just got completely destroyed

You're really set off by the word M__x, aren't you?
So what you wrote after "Jokes aside," was also a joke?
For podcasts, Philosophize This (high level) and The Partially Examined Life (more in depth)
If populism is a bee-line towards authoritarianism, corporatism is a charter flight towards it.

The overwhelming majority of Americans do not have a meaningful stake in the proceeds of capital. They are labour, and will benefit from gains for labour, more then they will from gains for capitalism.

If 80% of your life-time earnings will come from wages, as opposed to capital gains, your interests are not aligned with those of your employer, especially when they treat their relationship with you as zero-sum. Most of them do.
I uh...I don't remember for sure, but I can't guarantee that the Sugar code didn't reload the SVG file from disk for each frame.

The whole thing was madness, all the way down. It's a wonder it worked at all.
To weaken it, so that it has less people and less power, and is not respected by the rest of the population.
Say that only half of Facebook's users have the apps: one billion

Say that the average within-microphone-range presence of each user is five hours per day. Probably a huge underestimate.

Do you really think that Facebook would devote enough server time to parse five billion hours of mumbling audio each and every day? That's several times longer than the total viewing of YouTube each day.
I'm pretty sure this is not accurate.

Issues with reproducibility have been discovered independently in a number of different scientific disciplines going back to the 1990s at least. This was then covered in a New Yorker article by Jonah Lehrer, published in 2010 [1]. It included the phrase "decline effect", coined by a researcher studying ESP in the 1930s.

A great deal of the research described in that article is academic in nature. The article also alludes to the contributory influence of funding as one of the causes of this phenomenon:

"The bias was first identified by the statistician Theodore Sterling, in 1959, after he noticed that ninety-seven per cent of all published psychological studies with statistically significant data found the effect they were looking for." ... "In recent years, publication bias has mostly been seen as a problem for clinical trials, since pharmaceutical companies are less interested in publishing results that aren’t favorable. But it’s becoming increasingly clear that publication bias also produces major distortions in fields without large corporate incentives, such as psychology and ecology."

[1]: https://www.newyorker.com/magazine/2010/12/13/the-truth-wear...
Show HN: Streamline development by automating tasks and enforcing conventions
Presumably the people who liked Amelie would have enjoyed it both before and after they saw it, but how could they know they liked it until they knew enough about other people liking it and why those people liked it to like it themselves?

I can't tell if you think all/most the people who claimed they liked Amelie are dishonestly reporting they liked it because it is important for them to like something other people like?
There are not even close to how good and mature the AWS tools are.
>Don't live in Hill Country because ambulance will take 20 minutes to get to you when you step on a rusty barn nail.

is that bad? it's not like you're going to die from tetanus in 20min.
Credit cards would still make money off interchange fees. Cash handling is expensive for merchants, both in terms of wages and potential theft. Chase makes something like five billion dollars a year off of interchange fees. Interchange fees don't pay for the whole infrastructure and operations of a credit card company, but the marginal interchange fee does approximately pay for the marginal costs of adding a credit card customer (including rewards).
Or you hear the police shouting.
The ensemble advantage is completely the other way around - we might choose to use a large ensemble of classifiers because they can get slightly better results than the best single strong classifier we can make; and we might choose not to use an ensemble because of computational cost reasons, especially because you train a model once but infer forever (and likely on more limited hardware) and inference for a hundred classifiers takes a hundred times more computing power even if you skimped on training length. A good example is the Netflix Prize, where the best accuracy was achieved by a large ensemble, but the practical implementation afterwards chose a slightly less accurate non-ensemble approach for performance reasons.

What you describe sometimes happens in a tradeoff between very different ML models (e.g. an ensemble of decision trees versus a single deep neural network has the properties you describe), but within any single paradigm (an ensemble of neural networks versus one NN with more training time) it's the other way around.
Yes, as I said above, politics (re American policy) may have some role, but mostly, he has argued forcefully against a whole range of approaches to studying language. And many people (most prominently those in the Barbara Partee/Montague tradition) don't like that.

Oh, and at last look he was not just the most cited linguist. He was the most cited living human being.

(And FWIW, I came to linguistics from philosophy via formal semantics; I once held negative opinions of Chomsky myself. It took time to see that he was right.)
Insurance companies assume the liability for the doctor's diagnoses. I'm not sure why they'd be unwilling to do the same for the software's diagnosis. Somewhere, an actuary is willing to estimate that risk.
"A lot of what makes Summit County so healthy is also what makes the other four Colorado counties in the top-10 ranking for life expectancy so healthy: an over-representation of higher-income, young, white residents relative to national averages."
Ask HN: Good places to learn how to implement a distributed DBMS?
At the end of the day, much of all payment systems is just a ledger. Payment systems have to be provably correct, reliable, and available. Many payment systems make tradeoffs between all of these. Much of existing payment systems are all batch based.

What we have built at Uber is a realtime system that is reliable, provably correct with high availability.

As I've said in another comment, for many other systems, if it fails, people can just try again later. If we fail, someone's mother, grandfather, son or daughter are stuck on the side of the road in the middle of the night somewhere. Our needs (or at least the standard that we put on ourselves) is higher than many other payment systems.
It's open source... make a pull request.
Ad tracking technology is in no way related to wide spread blocking of internet content. Those are completely separate. To filter the internet you don't need to know the browsing or shopping habits of a single individual.

I fail to see the connection at all.
Shorter this article: "I liked it better when my taste was dictated by who paid the most to advertising agencies, not algorithms"

In all seriousness, consider the bit listed under "how to resist the algorithm" (quotes indented):

I might only read books I stumble across in used bookstores,

...which have been filtered by publishers deciding which manuscripts to publish, a past consumer deciding which book to buy, AND a used bookstore deciding which books to purchase for resale

only watch TV shows on local channels,

...which are frequently central-planned from a national network, as well as the massive filter that decides which stories should be TV programs

only buy vinyl,

...which is filtered much like the used books

only write letters,

Got me on this one, but letters != culture IMO

forsake social media for print newspapers,

...which have editors who decide which stories to run, and advertisers those editors want to keep happy

wear only found vintage.

...which is subject to not only the filters applied to fashion when the garments were made, but also filtering at the used clothing store.

These processes aren't new - ever wonder why so many pop songs are under 5 minutes (hint: it's not because that's an artistic decision)? In a lot of ways, digital technology demolishes the old barriers; for instance, releasing music doesn't take a significant up-front investment in pressing physical copies & distributing them to stores, so it's easier than ever for that content to get out. Out is key there, IMO - just because it's released doesn't mean anybody ever hears it. Seems like "the algorithm" might actually help in that situation, however: maybe the music only has 200 people that want it, making an old-school marketing push totally impractical.
Academia too is subject to the laws of capitalism. It is not some siloed-off eden of labour working for itself. Anyone working in academia can attest to the same pressures you see in the free market, whether it be short termism or maddening bureaucracy.
I thoroughly enjoyed this book.

Anyone aware of something similar for the last century?
The author has assembled an interesting timeline. It leaves a lot out (this is inevitable; the theoretical research around parsing is unbelievably vast). But ultimately the goal of the article appears to be placing their project Marpa in its historical context.

Marpa is one of many attempts to "solve" the problem of parsing. Other notable attempts are PEG (Parsing Expression Grammars), the ALL(*) algorithm from ANTLR (http://www.antlr.org/papers/allstar-techreport.pdf) and GLR. I wrote an article about what makes this such a difficult problem: http://blog.reverberate.org/2013/09/ll-and-lr-in-context-why...
What's crazy is that if AI is better than doctors by some significant degree, what do we do when the doctor and AI disagree? Like if doctors are right 85% of the time, but the AI is 90%.

I guess we treat it as another doctor? Like if we have 4 opinions that agree, we go with that one regardless of the source of those opinions (as long as they meet some minimum competence threshold).
Businesses get punished by markets when they operate inefficiently. They do not get punished by markets when they poison, cheat, rob, or kill people - especially when those people aren't their customers.
"If it's not the role of government to solve problems that are tearing apart the fabric of society, then whose role is it?"

Society, and the individuals who make up society, which is a great deal more than "government".

Solving social isolation by having the men-with-guns order you to do things seems likely to lead to more social isolation rather than less.
The Cambridge Analytica Story – Is Data-Driven AI Really Brainwashing Us All?
>> harder to find new (or new to me) films serendipitously.

There are places. I wouldn't condone copyright violations but the various forums used by filesharers are the modern incarnation of the film rental shelf. People publish collections based on their own tastes regardless of copyrights, contracts or other limitations. These are movie lovers and will point you to films that you would never normally consider. It is then on you to hunt down these recommendations through legal means.

I have discovered many a great European scifi series through filesharing forums. Getting hold of a legal copy is often difficult, but I'd rather spend effort to obtain a great thing than wade through the sea of junk 'recommended' by netflix. Currently I'm trying to find a copy of "The City and The City", which appeared on a pirate feed a few weeks ago and looks like a great series.
Our agent consists of three components that work closely
together: Vision (V), Memory (M), and Controller (C)

Next web frameworks are going to be smart!
>Social sciences are hardly even science from the perspective of a chemist or physicist

A chemist or a physicist still have hard time dealing with particle assemblies of say 100-100000 particles. For several last centuries they learnt to deal with [aggregate properties of] assemblies on the scale of 10e20+ particles. Only during last century they came to pretty good understanding of 1 particle.

In social sciences this is Facebook and Cambridge Analytica (ie. they are real social science today, not some professor in an office). This is the scale where aggregate properties appear, and they start to be able to drill down from it.
Intel’s Chip Lead Disappearing, Says Linley Group
Worth remembering is Clay Shirky’s Point about taste, recommendations and power law curves. A paradox of the situation is the growth of these systems, and their elimination of other systems, can ensure that each individual has more options than before, while the total of all options declines.

http://www.shirky.com/writings/herecomeseverybody/powerlaw_w...
Except when it is real:

https://www.wired.com/2016/11/block-ultrasonic-signals-didnt...

https://thehackernews.com/2017/05/ultrasonic-tracking-signal...

https://www.wired.com/2017/05/hundreds-apps-can-listen-beaco...
>the (assumed 50 year) lifetime of a building

what happens afterwards? is the building supposed to be torn down?
Sublime with loads of plugins
I'm a doctor and very much pro ML/AI. I'd love to have an autopilot I could watch in awe. Still a lot of practical tasks though that will be much harder to automate. And for the first few generation of AIs I guess someone will have to babysit them.
> biased towards analytic philosophers.

I swear I've looked up the difference between analytic vs. continental multiple times and never understand the difference.
2nd Generation AMD Ryzen Processors
Yeah those are the only cures...
Or you know, get off the internet and make some friends in real life.
If you have enough data point for enough people in a large enough area, well machine learning will do the trick[1].

[1]: https://idiallo.com/blog/machine-learning-ads
http://www.businessinsider.com/syrias-assad-allegedly-used-g...
Seriously Paisabazaar?
Have you considered rewards churning in an attempt to cause net losses for the issuer? IMO that's a better protest move than simply not participating, at least until something better can be coordinated.
Google, Amazon drawn into Telegram ban as Russia blocks millions of IP addresses
There are some neat ideas in here. I really like the cheap "current lens detector" that uses a webcam to see a simple color fiducial.
Thin film converts heat from electronics into energy
So to me it's starting to sound like "developers forgetting" is your problem. Not Docker or Compose.

The solution I've used in the multiple companies I've started is to maintain a developer-oriented toolchain that encodes best practices. You tell the devs to clone the toolchain locally and you build in a simple self-update system so it always pulls the latest version. Then you provide a single tool (e.g. "devtool"), with subcommands, for what you want to script.

For example, "devtool run" could run the app, calling "docker-compose --build" behind the scenes. This ensures that they'll always build every time, and never forget the flag.

If you have other common patterns that have multiple complicated steps or require "standardized" behaviour, bake them into the tool: "devtool deploy", "devtool create-site", "devtool lint", etc.

We've got tons of subcommands like this. One of the subcommands is "preflight", which performs a bunch of checks to make sure that the local development environment fulfills a bunch of checks (Docker version, Kubectl version, whether Docker Registry auth works, SSH config, etc.), and fixes issues (e.g. if the Google Cloud SDK isn't installed, it can install it). It's a good pattern that also simplifies onboarding of new developers.
Only thing i said is, to judge him based on something he said when he was somewhere between 19 and 21 years old in Uni is a stupid thing to do. A majority of us have said and done stupid things in uni.
I mean, so did Hitler's Main Kampf.
The situations you mention involve antitrust law and unfair competition, with the intent that consumers would benefit from increased competition. Internet companies are different, and specifically Facebook is different, because its customers are advertising companies and its product is the eyeballs of its users. Ironically, the closest contemporary internet analogy to your examples is Net Neutrality...

Any legislation around Facebook and similar is going to look fundamentally different than antitrust law. It's more likely to look like some sort of "consumer protection" suit rather than a monopoly takedown. I don't trust our lawmakers to successfully figure out the incentive structures; they'll likely seize this opportunity to appeal to their voter base. The results might not be what they intend.
Unless I'm misunderstanding you, it's interesting to me that you see arguments and (seemingly) can't consider that it's even possible for them to be genuinely held as first principles, and that they must be motivated by "fear" and "hatred" (as if economic protectionism cannot be based in rationality, it must always be racially motivated).
Is this only a problem when Russians behave dishonestly, or is it also a problem when domestic media behaves dishonestly, in an effort to stoke divisive tensions?

That line seems to be incredibly arbitrary.
I agree this is a very probable cause, but since a lot of people seem to be reporting this affect I wonder if it can be quantified... are there any tools that can do ad-tracker-tracking to collect information on the ads you're being shown over time and categorize them in order to show that you really are getting more ads of a particular type after a particular action is taken (which isn't obviously trackable)?
Wikispaces, hosting this and many other invaluable wikis, is shutting down soon. It would be great if TES would open the source. There is also, it seems to me, a need for a modern alternative to MediaWiki.
Ask HN: Do you scrape data? What do you use it for?
I've got a theory that in 2018, most people or companies can use web scraping tools to make some aspect of their lives easier.

For example, I wrote a script a few months back to scrape transit data and send me a text when the subway is delayed for my morning commute. Maybe you're helping your company scrape competitor prices to know when they change?

So - are you scraping data today? As part of a hobby project or for professional purposes? What do you use it for? And if you don't, why not?
Is Google Using GDPR as an Excuse to Restrict Advertiser and Publisher Choices?
Since R.M. Hare's "Language of Morals" is on the list, I recommend Alasdair MacIntyre's "After Virtue" should be on the list for any one who want to study Moral Philosophy today.

Along with Popper and Kuhn's works on that list, read Larry Laudan's "Progress and its problems" and "Science and Relativism: some key controversies in the philosophy of science". This goes under Philosophy of Sciences.
Cat purr genrator
That's an interesting thought.

Currently, what happens is that if a diagnostic test comes back and it suggests something serious, say cancer, and the doctor does not pursue it, then the doctor would be liable if it did turn out to be cancer.

So if a machine disagreed with a doctor, then I would assume that the doctor will grudgingly have to investigate further until there is enough evidence to rule out that diagnosis.

#headache

What I can see happening is that patients will go to this machine for a second opinion. And if an opinion then returns that contradicts the primary physician, then an entire can of (legal) worms will be open.

--

Addendum:

To elaborate further, there is sometimes what's called the benefit of history.

Say a patient visits 10 doctors. The 10th doctor has an unfair advantage to the first 9 simply because he/she will have the prior knowledge of which diagnoses and treatments were incorrect.

Similarly for an AI vs Human Doctor situation, the incorporation of additional information (for the AI) would require considerable amount of big data to train in order to be able to recognize prior history, failed treatments, and such.

For image specific diagnoses (eg. recognizing melanoma, retinopathy), these do lend themselves to AI very nicely. For other diagnoses that contain a significant amount of, shall we say, "human factors", then less so.
Ww3
Start by buying an expensive piece of hardware running a different operating system? Why not just use the app permissions built into Android 6.0+?
I don't see any mention of these URLs anywhere: https://github.com/jtbarker/nofbtracking/blob/master/blockfb...
If that’s the criterion, shouldn’t Mao’s Little Red Book be on the list? It has the same scientific merit as Rand’s work (none, that is), but definitely changed the real world.
I worked at UPS as a package sorter/loader/unloader. The money was great and the part time position offered pretty good health and dental benefits. Only issue was the job was hard on my health. Weird hours and repetitive motion can tear your body to shreds if you let it. But the hours were consistent and there were plenty of opportunities to make extra money during the holidays.
Paul Krugman was wrong on different issues, thereby completely proving everyone who agreed with him on this other issue wrong. Got them.
The big leap in deep neural nets, gave us the illusion that we will solve many of our problems overnight. The fact is that we probably need at least one more decade to get things right
If you can't even point out the faults you are in no position to comment on the content.
This posts' author is fantastic. Breaks things down and explains everything very nicely.
Her work is unappreciated by philosophers because her work is not really in the scope of philosophy and fails to answer any of its core problems, either then or now. Political or social change is not a good barometer for importance in philosophy, even though her work may exhibit some philosophical underpinnings. By the standards of entertainers who dabble in philosophy and were extremely influential, this list could also include, say, Bob Dylan.