skysight-inc/HackerNews huggingface dataset:
Here's an entire forum of them on reddit, it's called /r/datahorder.
> I'm not saying they are, mind you - but when we analyze sentiment in a large dataset and reach a result like that, the first question to ask should be "is that result accurate?" not "how do we tune out this problematic result?"

Especially when you consider the weird feedback loops you can get by blindly fudging the numbers.

For example, suppose the objectively best movies have a male lead, e.g. because Hollywood is biased and spends more resources producing those movies than ones with a female lead.

So the bias is there, but it's at the production stage, not at the recommendation stage. What happens if we try to fix it at the recommendation stage?

Hollywood sees that movies with a female lead are now being rated higher. But five stars is five stars. The occasional actually-great movie with a female lead can't get itself kicked up to six, so the incentive isn't to make more of those. It's to make more mediocre movies with a female lead to take advantage of the artificial boost.

Which widens the gulf in the unmodified ratings even more and produces a vicious cycle where the number of garbage movies with a female lead explodes to take advantage of the fact that no matter how bad they get, the average will be adjusted upward to compensate.
> Stations: they do not want to make expensive subterranean stations, and instead just want small stations at the surface.

This is essentially saying "let's save money by cutting costs on the cheap part of the project and increase the most expensive part of the project several fold."

The cost of a bored tunnel is largely dictated by its length (essentially, length determines how much infrastructure you need--cabling, shielding, drainage, etc.; cross-section determines the scale of this infrastructure) [1]. A car elevator access shaft is going to be a very time-consuming vertical cut via excavators, where depth is going to be the driving dimension in cost.

Of course, throughput comes back to bite you: how long does it take cars to make it up and down the elevator shaft? A vehicle elevator might make 1 foot per second, or somewhere in the region of a 4 minute round trip per vehicle if the tunnel is 100 ft deep [2]. A regular highway lane has a capacity of ~2000 cars per hour, so you need 266 elevators to fill and empty it [3]. Of course, the capacity of rapid transit is ~20,000 people per hour in the same tunnel space, so you really need over a thousand elevators. When you take into account acceleration/deceleration lanes for well over a thousand elevators, is that really cheaper digging than a dozen cavernous stations?

[1] Cutting the diameter of a tunnel in half does not cut its construction costs by 75%, more like 25-50%. Construction costs are closer to linear in diameter than linear in cross-sectional area.

[2] The other really, really big omission in the FAQ is the lack of discussion of the consequence of depth. Vertical circulation is already a tricky issue with what we construct today, and the space-hungry nature of SOV-centric design compounds the problem tremendously. 100 ft is sort of the highest level I'm assuming is in play here, since that's about as high as you can go without running into the sewers and extant mass transit lines. Going deeper of course makes the vertical circulation numbers even worse.

[3] This assumes that you only build one elevator to service both directions.
I could have sworn that's a feature in Windows 10.

Edit: nope, but https://soundswitch.aaflalo.me/ will do it - never used it though.
How about a "reasonable mechanic", "a reasonable grocery clerk", or a "reasonable carpenter"? Dare we imagine a "reasonable web developer"?
All sorts. A blockchain startup, a game programmer, an embedded software dev, a GPU developer....
Your point is moot, if advertising had absolutely no effect on customers, then it would not be profitable to use it and the industry would not exist.
What do you do when your classification is correlated to race through no fault of yours? For example, I might successfully predict credit score from backyard size, and end up with a correlation to race that doesn't have anything to do with me.

I don't think the blame always lays with the algorithm, especially when it doesn't have access to race as an input (this is a reasonable expectation). I can score students with a simple algorithm based on what they write on their math tests, and even that's going to correlate with race. In that case the blame pretty clearly lies in the process that produced the reality that's being measured, not the measurement technique itself.

Let's say that black people default on their loans more often then white people. Is it better to criticize the math that discovered that fact, or the root cause that made it true to begin with?
NipponBashi Street Festa 2018 Osaka, Japan 第14回日本橋ストリ 2018
How is someone supposed to determine that one unauthorized thing is hidden among many authorized, similarly named things?
> Maps - yes -- the official solution these days is HERE Maps (this requires Android support which is available on Jolla-supported devices).

Do they still provide offline map updates? I have a Nokia N9 and several other Symbian based Nokia phones, but there appear to be no updates to the offline map data.
As Data Scientist/Data Engineer why you should start using Docker
They're really trying to misinform the non-technical majority with the whole "it's only bad if the data is sold."

> We don't sell people's data. Instead, we weaponized it to make billions on billions. Period.
Guaranteed this is an Artificial Intelligence company.
There are several, but I haven't used any of them in a while (probably around Win8/8.1.
Here are a couple I've used...

https://audioswit.ch/er

https://github.com/sirWest/AudioSwitch

I think there was another that was some variation on "audio" and "switch"/"switcher".

You can also create a shortcut to nircmd with the setdefaultsounddevice value set and assign a hotkey for the shortcut.

Now I use EarTrumpet, which lists devices in the right click menu.
Actually it's any name, even the name of the reviewer, as the test they conducted showed.

the issue is that humans don't understand multi-variable statistical analysis, whether in the form of ANOVA or machine learning training, so they try to pack everything down into two or sometimes three variables of output.

And that's fine if you are pulling from a population that's homogenous. But if there are two or more discrete subpopulations, you want to control for them or represent them separately, not just ignore them or pretend they reflect the information you want.

Anyway if the reviewer name is enough to throw the results, it may suggest that guys praise more movies, rather than movies with male character's get more praise.

I just looked at the first page of 10 star reviews of battlefield Earth and none seemed to be female, just saying.
Wow cool. Just wondering though, how is this even possible? I thought Iframes were sandboxed from each other for security
Intel, Microsoft to use GPU to scan memory for malware
I'm confused by what possible efficiencies can be generated by connecting the Red Line and the South Shore line. I presume that most riders on the SS line are commuting to work in or near the Loop. The SS line is undoubtedly faster than the Red Line. Furthermore, there's already Metra lines in existence around the area of the proposed Red Line extension.

Furthermore, I'm not sure what good a Union Station to McCormick Place link would do. Union Station is already within a 20 minute walk to every single CTA/Metra/SS line. Furthermore no one really lives/works near McCormick Place. It's primarily a convention center.
I've been enjoying Tech meme podcast - https://news.techmeme.com/180306/podcast
Hmm - it seems, though, that you haven't responded to the use cases I've outlined above. What say you?
Thanks for the pointer -- I've actually never heard of Adyen before, but the list of companies that trust them is pretty impressive.

I'm relaly impressed with the diversity of their offering as well:

https://www.adyen.com/pricing/full-list

I'm currently in Japan and it's actually relatively common to pay for things at the convenience store here, I'm amazed they support it.
Yeah, I was thinking that was one reason to lie.
The dependencies with long DLL names beginning with api-ms-win- are unrelated to .NET framework.

Here’s more info: https://scissortools.wordpress.com/2011/11/23/more-on-window...
> From funding to today it's ten years

This seems pretty reasonable to me, to be honest. And most of it is done ahead of schedule isn't it?

How quickly do you think it should take from zero to a 21 km tunnel underneath London? It seems insanely fast now I think about it.
OK, factual data fed to some AI-based algorithms produces results that are not so politically correct as some people would like it to be. Is this a problem with the AI algorithms, or with the people?
cmon, you know what dark patterns are. you know that cigarettes are bad but people “volunteered” to buy them.
Sure, that's the more recognizable special food at IKEA. But I guess I prefer simple foods to the fancy ones.

Hotdogs in IKEA, even though cheap and small, are a perfection of form. They're made of exactly four ingredients: bun, sausage, ketchup and mustard. Just the four ingredients that matter. No dumping half of the vegetable garden inside because too simple food is a sin and you must repent by eating grass. Only the pure essence of a hotdog, perfect in the de Saint-Exupery sense - there is nothing left to take away.

And yes, they're cheap, that means you can get more perfection for a dollar.
If you're interested in some newer data for the High Plains Aquifer (AKA Ogallala Aquifer), try this:

https://www.usgs.gov/news/usgs-high-plains-aquifer-groundwat...
It sounds like a way to set up a positive feedback loop with terrible consequences to me. I don’t know enough about ML to be sure, but I know GIGO. If you feed bias into a model then let the model guide decision making, that seems obviously flawed. You bias the model not to give loans or credit to black people, reinforcing their lack of credit, which leads to the model confirming its bias. Maybe you can claim it’s a socioeconomic bias and not racist, and in some countries it would be true, but not in America. How long ago was it that black people had to fight past mobs to integrate schools? How long since redlining? If socioeconomic are tied to a history of oppression based on race, then ignoring half of that equation isn’t honest. Correlation is not causation, but does “AI” know that?
If a person is loan-worthy, offering them a loan is good business sense. If others are denying loans for no good reason, that is a business opportunity. It doesn't require benevolence to offer people loans that they are qualified for.

How far do you expect systems to go to ignore real-world associations? What if it is coming down to personal safety? Would you object to a self-driving car that routes itself around more dangerous neighborhoods? What about a model that predicts that unknown men on the street at night are more dangerous than unknown women?
It is not a disingenuous question, it actually comes down to a question of ethics. Why would anyone with any sense of accuracy allow fiction to influence a decision being made about a person’s life?

The more talk about how people are building models, the more I want people to take these black boxes to court to force developers to explain how decisions are made.

Refusing to give someone a loan because someone trained a model with 50 Shades of Grey is unethical and insane.
With current technology the problem of Bob (or Adolph or Mohamed) becoming associated with evil is insolvable by the fact that current deep learning systems are fundamentally characterized by not being able to distinguish causation from correlation.

The only solution I can see is forcing any company that imposes life-defining actions on people (credit bureaus, banks, parole boards, personnel offices, etc) to use only rules based on objective criteria and to prohibit systems based on a "lasagna" of ad-hoc data like present day AI systems. Indeed, if one looks at these in the light of day, one would have to describe such system as fundamentally evil, the definition of "playing games with people's lives." (just look at the racist parole-granting software, etc).
Key takeaway: It is important to be aware of bias in ML models. Some biases may correctly model the reality of the world, and some may show the bias in the underlying dataset or in what the model has focused on in the data. The goal is not to "unbias" everything, as people seem to be focusing on, but rather to determine if the bias is appropriate given the context.
Jeez.

Most Americans are living paycheck to paycheck with less than $1000 cash in the accounts, and you think being forced to miss a week's pay with no notice isn't bad financially.
Cut and cover only works well if there is accessible territory underground. Manhattan is a Swiss cheese of tunnels, pipes and wires that were dug using cut and cover a century ago. If you want a tunnel now, you have to put it further down underneath everything else.
What it’s like to commute every day on Seattle’s most crowded bus
To be fair, the original Hyperloop proposal is not actually a vactrain. Instead, it's something that manages to be worse than a vactrain, and so everyone who is actually interested in making it work is basically turning it back into a vactrain.
Non-technical people don't necessary know that adding a Facebook button means tracking people. Because it's the complete opposite of common sense, Facebook buttons to a non-technical users are just buttons, and Facebook could have built them that way too.
a couple of decades ago Google didn't exist, no?
First names like Gay and Dong, or surnames like Fuk, for instance.
I think the huge thing that most people miss is that Elon isn’t trying to fix the earth’s problems. Elon is using the earth and other people’s money to bootstrap all of the things he needs to live on Mars. Every single one of his projects is in some facet working on a tech that is needed on Mars.

SpaceX gets you there.

Tesla gets you around there and batteries store power.

Solar City because batteries.

Boring Company to dig tunnels and create radiation safe locations for humans on mars.

Hyperloop cross country transport that doesn’t work well in our atmosphere but makes much more sense on Mars.

I think he is all consumed by his vision of humans surviving on mars and thriving. And when you look at things from this view suddenly his crazy becomes less crazy.
Microsoft affected the price in the market competing against literally free.

That takes more than just "being big".
That you think Tesla is solely a money making venture via automobiles is telling. It's a car company that could reduce our world's impact on the environment substantially over time. It is a vehicle (ha) for battery and charging technology, and for AI via their research in driver assist.

It isn't unreasonable for a tech billionaire with civilization defining aspirations to want to make better cars, build better batteries, and improve public transit all at once.
There are many more examples:

https://www.epa.gov/climate-indicators/downloads-indicators-...
Good. I updated the firmware on my Archer C7 anyway, though.
If these companies instead spent their time on improving the UX of their sites so that users (and not some creepy AI Clippy) could easily find stuff they cared about and in the sizes they needed then the companies would easily dominate their respective markets. Taking a cue from the physical world if I walk into my local grocery store I would be seriously creeped out and annoyed if I was greeted with a cart full of recommended items based on my previous purchases.
The trouble with speaking English as a second language
Just curious, not trying to trip you up: In your perspective, would it be trespassing to make a new website which has links to the original site with the edited URLs, without actually accessing those edited URLs? If such a website with links containing edited URLs already existed, would it be trespassing to follow those links?

Just curious about which one, or both, of those are trespassing in your perspective.
More of a Canadian culture reference, or at least more widely recognized in Canada.
Care to name products/companies? It would be fun to play around with a VPN and see what variations in pricing would really happen.
Could you get a glossary or thesaurus for your notes?
Or they can choose to just use Pathfinder. It's licensed under Apache 2.0.
Of course it's unethical and insane. But the point is that people are going to look at the performance numbers for the model, and if they look good, they're not going to ask how it was trained. So the fact that fiction writing was used to train the model will never come up in the discussion about whether to use it.
On the bright side, the software is probably easier to fix. Once we figure out how to build unbiased models, they can be deployed widely. Try that with humans.
There's an old saying "when you owe the bank a million dollars it's your problem, when you owe the bank billion dollars it's their problem" (like I said it's an old saying ;-)

I think there's an analogy here-if enough people are being successfully abused by private companies it's no longer a matter that you can just pawn off on some sort of concept of personal responsibility. If your beloved private companies are threatening to exploit people hard enough to threaten the very existence of democracy, then it certainly starts to look like something where exploring a government role is worthwhile.
1. Facebook have just come out with an entire release about what data is and is not tracked when you're not on their site[1].

2. Armchair developers always throw out things like this: "A few if-else statements would remove most of them and would provide at least a temporary solution.". Sure, you could do a keyword search for "pills" and delete all of those ads. How many legitimate ads will you take down in the process? How many extra support requests will they have to deal with because of the change? How long until the spammers change the wording ever so slightly to defeat Facebook s naive workaround?

3. Facebook doesn't directly give data to advertisers, that's what Zuckerberg was saying, and OP acknowledges as much. The fact that advertisers can infer data about users by using the system is a feature, not a bug. The very fact that you can do targeted advertising is of course going to leak some data about users to advertisers, it's not Zuckerberg's job to explicitly state that.

[1] https://newsroom.fb.com/news/2018/04/data-off-facebook/
I am so glad you posted this, because for the last couple of years I've been missing old-school Godwin's Law - someone making an inapt comparison to Hitler or Nazis when Nazis weren't actually involved. Of late, discussions about how society should handle edge cases in freedom and robustness have involved actual Nazis with actual swastika armbands talking about the actual "Jewish question," and there were no inapt comparisons, just (confsuingly) genuine discussions of how much place Nazis have in polite society.

But your comparison is inapt: yes, we should train AI to systematically ignore negative sentiments it associates with people named "Adolf" or "Hitler" who are not in fact the Adolf Hitler who died in Berlin in 1945. Humans have difficulty in doing so, of course, but this is a bug in human cognition which is essentially the vulnerability that bigotry takes hold of: a justifiable negative impression of one person as an individual is imputed to other people who seem superficially similar. We see one person of a minority breach a social norm or even a law, and we think that others of that minority must be prone to doing similar, simply because their minority status is salient. We fail to realize subconsciously that membership in the same minority is not actually meaningfully correlated with this behavior, and when we see someone from the majority do the exact same thing, their majority status is less salient, and we don't impute the negative impression to the majority.

A good AI should be able to distinguish dictator Adolf Hitler from, say, saxophone inventor Adolph Sax or chemist William Patrick Hitler (the nephew of Adolf Hitler), and not cast aspersions on the latter two - even though human biases forced William Patrick to change his last name to Stuart-Houston. It should even be able to understand that Indian politician Adolf Lu Hitler Marak is a separate person who merely had parents with questionable taste, and the man is not on account of his name more likely to become a genocidal dictator than any of his political rivals.

And since our justifiable negative association with the Nazi leader is, fundamentally, that he weaponized this vulnerability in human cognition, it is one way of acting on our dislike for this Hitler to make sure that the AIs we build are not susceptible to the same vulnerability.
... 2017-2018? As in... last year and this year?
Forty years ago, I worked for a very pleasant elderly Jew whose name was Adolf. There was never any association with bad things about him. I think you would more likely find the names Hitler or Stalin as being a little bit more problematic.

I know my reaction is more to the surname than the first name.
If someone is poor but you want them to be given a chance anyways, you don't go to the banker and say, "please close your eyes to what by all means seems to be true." You say, "I know he's more likely to default, but society wants him lifted out of poverty and you're going to give him that loan."
In this decade, there's Endless Mobile. Also attempted to compete with commodity hardware, with similar results. Now apparently redefining mission to software-only: a distro for commodity PC hardware.

https://www.kickstarter.com/projects/1381437927/endless-comp...

https://endlessos.com/home/
My favorite was this one:

> Beside it stood a beetle-like individual wearing a Continental outfit: tweed toga, loafers, crimson sash and a purple airplane-propeller beanie.
when the capital is borrowed then another party needs to earn a return which amps up the exploitation and justification... i.e. I need to pay back my investors and also pay myself.
That’s all very much not what I see when I look at Tesla, it’s just the marketing. The reality is someone getting another $2.6 billion, while desperate-to-believe people cheer him on because they think it’s part of a master plan to save them. I’m not part of the Church of Musk, sorry, I’m an empiricist.
Bird, Lime and Spin Receive Cease-And-desist Letters from SF City Attorney
I think the idea of the OLPC was just ahead of its time. A good live teacher will likely always be able to provide higher quality education, but at some point recorded lectures and adaptive learning software will be adequate and more cost effective than the average live teacher who can only teach a few dozen students at a time. If the alternative is no or low quality education then certainly that would be preferable.
If those banks had to turn to the government to keep them afloat, and those banks played a large role in creating the problem in the first place, maybe you do? Maybe not, but what you definitely don’t do is set up black boxes to take the heat for centuries of prejudice and mistreatment.
existing, proven technologies he could get behind with his billions

Whether hyperloop is feasible, he's pretty clearly gunning for future, unproven technologies, and very much on purpose.

There's nothing wrong with wanting to spend your billions on trying to find new technologies.