skysight-inc/HackerNews huggingface dataset:
I count myself among the group I believe you're alluding to, though not as you've described it. If I'm spending my time playing a game, I don't want to waste queuing time only to discover that I've been placed in an unplayable match because someone is cheating. When this becomes prevalent (always seeing a cheater if you play > 1 hr), I'll quit the game, because it's taking the fun out of it for me, and potentially giving satisfaction to cheaters, which I'd rather avoid.

So I'd appreciate a warning that I'm being spied on, and perhaps a description of ways they're avoiding sensitive data. But the game I'm going to quit is the one where I can't get away from cheaters: not the one where the game makers are being overzealous in watching for them.
Deeper is possible, but expensive. See NYC Water Tunnel #3.[1] Under construction since 1970. Several sections already in use; completion 2020. As deep as 800 feet down, 24 feet in diameter.

[1] https://en.wikipedia.org/wiki/New_York_City_Water_Tunnel_No....
We can quibble over some of the examples they give and their "ideas of how the world should be" but there are many cases where fairness may be explicitly legislated or defined that makes this research useful.
I know HN is big on personal responsibility, so here are two tools to help you deal with phone addiction.

I made Space
http://youjustneedspace.com
which help with individual apps.

An Android launcher called Siempo
http://www.getsiempo.com/
is a more complete app control system.
F-Droid shut down by a bug
I am amazed they stuck with it for so long then and how far it came along. I used them as a reference for my own homebrew x86 kernel back in the day.
> That's right, it would perform string substitution on the SVG file, filling in the actual colors for macros embedded in the SVG, then reparse and redisplay the SVG. For each frame.

That's intriguing!

I can imagine a path to how they got there:

1. PyGTK (or whatever they were using) has methods to load and display an image.

2. A supported image type is svg+xml

3. SVG is vector graphics. Awesome! Let's use that.

4. Animation is needed, so we consider just ramping the opacity attribute, scaling attribute, etc.

5. We don't have any methods for DOM access. Oops.

6. However, we do have our loaded SVG file which is just plain text.

7. Well, we can just s/OPACITY/RAMP_VALUE or whatever and display that for our animation. That at least doesn't require a read from the harddrive for each frame. :)

Speaking of which-- I've seen developers do animation by repeatedly reading a file from the harddrive in the same process/thread as a realtime audio engine.

Edit: clarification
I imagine that the model would also score "he was murdered" higher than "she was murdered". Models reflect their inputs, and it happens that yes, murder victims are disproportionately likely to be male and nurses are disproportionately likely to be female.

Is there a problem we should address here? Absolutely -- but the problem is that men keep on getting murdered, not that the model recognizes truths with which we are uncomfortable.
Sadly, no. Clock speed and multi-thread aware apps haven't gone far enough to give that feel of 'snap' we all got. I remember my Intel x25m so fondly. Even dual nvme drives in raid0 don't make thing hugely faster. I'm interested in what one of the 18-core i9s would be like clocked at 5ghz with our optane storage. Probably 1/3 of a second faster to load Firefox....
The website is called The Chronicle of Higher Education, so I'm going to go with other professors.
You think that it was OK for Southern businesses to ban blacks during the Jim Crow era? After all, they were likely to have less money and thus be less profitable customers.

Your statement implies that you would support this.

These businesses were using mental models that had a high predictive value. Do you feel that it was worth it to "sacrifice this accuracy" with civil rights laws?
iOS users spend more money and are more affluent. Developers won't migrate away because there're lots of money on that platform.
Why is someone using fiction and references to fiction to train an AI that will make decisions about real people’s livelihood?
Depending on the CPU, RAM speed can be a big one. Laptop vs desktop still carries a performance cost due to the power requirements. NVMe SSDs are to regular SSDs what they were to hard drives, but there are limits, especially gigabit internet and slower CPUs. Honestly though, the biggest gains are generally in making software more efficient — like choosing Safari instead of Chrome, or removing unnecessary drivers and bloat from your system. Run a startup log or check your system’s logs for errors that might slow down your computer. Oh, and install browser-native adblockers on every device. :)
That very much depends on one's interests. In today's modern economy, many are encouraged to tie their interests to lots of events that haven't happened yet. They prioritize predictions.
Compton's Kendrick Lamar Makes History with Pulitzer Prize Win
That's what I get for reading the comments before reading the piece, sorry.

I'm still uncomfortable with the extent to which Apple's walled garden is walled though. 25 USD/month does add up, even if you unsubscribe during months where you aren't using the service.
It's not ageism. It's incompetence. If the content he was allowed to download sans-credentials was publicly available, the host/admin fucked up. If I do a wget for {random_url} and it returns a 200 range response code - that's not my fault - that's the admin. If I'm not supposed to see it, it should return a 403.

Not Canadian, but I expect this teen to be let off completely free.

I write this as I'm trying to recover my wife's website by scraping archive.org and respecting various 400 & 500 level errors.
I like your idea of a scoreboard. I'm gonna float this at the office. Then again, we're not keen to talk about the fact that nobody has found a flaw in our security model because it'll just invite a ddos, which, yea, I guess that counts as a flaw?

As for forever, hence why companies like Microsoft and EI have models for "continual update" on connected devices The idea being that the security upgrades never stop.
If you see a biased result and your first thought is "is that result accurate?", it's because either you like the bias or you think data is a source of objective truth.

If it's because you like the bias, what the fuck.

If it's because you think data is a source of objective truth, what the fuck.
Seriously quit writing text editors that require GPU acceleration.
I’d love to be able to resize fonts at 60fps. Hopefully other browser vendors figure out a GPU font glyph renderer soon as well.
This may not be a good thing, but it does seem to match what you'd expect the human attitude to be. Consider what the typical, initial human reaction to someone named Adolf would be.
APL Video Demonstration from Imperial College London (1975)
for my contemporary listening pleasure, if Spotify had chatrooms I would be in them with my best music sharing buds all day.

likewise, shared/live-playlist making would be very popular among my friends.
I really don't see how you could make either of those assertions from what I wrote.

If I steal $100 from you, and now I have $100 and you have $0 - would you have a problem with that? That's a generally asinine accusation to make..

Isn't the most important part that something happens fairly - or is your argument that collaboration at all costs is okay?

All people having the pie and wanting it to grow (it's what we technically have now, except capitalistic for-profit structures suffocate distribution of and capture the majority of the value), that may be the case in the initial stages because of everyone "profiting" from the increase in value because of demand, however then that's totally forgetting or ignoring the long-term impact once you reach the "tipping point" - that everyone after "50%" now are subsidizing all of the previous "profits" that will want to be realized by the earlier adopters --- and the value can't keep going up unless you have unlimited people to scale it to, which there isn't. Late adopters won't be incentivized to collaborate, as they're not earning "profit" from the incentivized crypto-assets.

Also, your statement seems to be a straw man fallacy, whether you meant it to be or not.
If you understood the scientific method, you would understand that you always need to account for bias. Just because something comes from data doesn't mean it's objective.
Do you have no sympathy for an ordinary fairly harmless person named "Donald" or "Bashar"?
> Igor is not someone who seems to take security seriously.

On this we agree. The question is, how seriously does security deserve to be taken in this case?

The evidence suggests not very seriously at all. As horrifically insecure as 7z is by your metrics, I can't think of a single incident of it ever ruining anyone's day, unlike a lot of modern software that manages to do that while supposedly being "secure" and functioning "correctly".
Engigogo Digest – a weekly newsletter about products and side projects
Incensed. Learned a new word today. Danke.
Except they’ve been given access. The server should represent its owners in its sharing of data.
Media mail is subsidized.
I just built a gaming rig, and I tried really hard to get LTSB, because I don't want to use this computer for anything beyond CS:GO. Was impossible.
No, population growth in the burbs alone does not disprove migration into the cities. As I said, skyrocketing costs in the cities are evidence of this. With respect to city transportation infrastructure, wealthier people moving in and developers building up capacity are significant forces in affecting policy.
Google Pay now supports transit tickets in Portland, Oregon
Find View by Id in Fragment Without Put in on Create View?
I understand your point, but people are volunteering to give up this information. At some point, grandma has to learn to stop calling the psychic hotline.
Failure to properly secure one's private property does not make it legal for someone else to access it.

It doesn't matter if we're talking about physical property in the real world or virtual property on a server.
It certainly is an OS bug. The OS is modifying your memory behind your back after it has given it to you. That can break any application, managed or otherwise.
CT scan is less than 100$ in most places in India. It could go up to 200$ in some hospitals and is considered expensive by the patients.
Well I think some of it has to do with the fact that language is not completely symmetrical (there may be a better word). For example, the following sentences:

1. They went to college.
2. They went to the University of Phoenix.

The fact you are calling out UoP may turn out to be used more in slightly less positive sentiments than the first one. If you are trying to figure out the sentiment of a few sentences, this might be important. Yes you can ignore it, but the question is whether you are trying to understand how the language is actually being used or not.
While possible, it's far from ideal. I had this experience, using an old MacBook to build an iPhone app. It repeatedly crashed because I had Atom and XCode open at the same time.
But it's a convergent instrumental goal for just about every end goal you could think of for a statistical model. If your model has zero predictive power, and that's fine, then you don't need a model in the first place. You can just make random guesses, or assume everything is equally correlated, or whatever make sense for your goal.
There’s another big factor: soups and stews maximize the nutrients you get from your ingredients. If you fry a piece of meat you’re losing some fat, if you boil and drain veggies or meat you lose a lot. If you throw everything into a pot and stock/soup/broth is part of the meal, everything that went in goes into you. Soups and stews are also excellent ways to utilize preserved meats which need rehydrating, softening, and can make use of their salt content. Legumes and pulses pretty much require that treatment as well, and can thicken a stew or soup.

Aside from equipment there is just the reality of nutrition.
>Because it's unthinkable that movies with male main characters could actually just be better than movies with female main characters.

Its not unthinkable but its also very likely that bias does indeed have an impact. What do comments like these add to the discussion?
If only you remapped Capslock to Esc like 80% of the vim developers out there...
3 Tools for Copying Blu-Ray to Qnap TS-253B
>Opposing the Kremlin in Russia is meaningless. You'll just get stomped out.

Isn't there some line where if a country does something bad enough you will refuse to do business with them? That doesn't seem meaningless to me.

You would only get stomped out in that country. You would not get stomped out globally.
> Think transactional mailers, marketing mailers, billing systems, payroll, zendesk, etc.

GDPR has explicit provisions for all of these legitimate interests (notifications, clients, employees, customers). Most of these services are aware of and planning for GDPR, I wouldn't want to work with any that aren't.

> And even an RSS reader is scary. What if someone follows a series of blogs about HIV treatments, or internal trade union politics? If that means you could infer the person is poz or is a member of that trade union, you now have heightened scrutiny data in your possession.

Right, and I like that! Attempting to derive sensitive information should require consent, transparency, right to rectification, and stringent data handling requirements. It sounds like overkill for an RSS reader, but why the heck does an RSS reader need to do that kind of profiling in the first place? Maybe that's the right level of scrutiny and prior applications were unwarranted?

On the other hand, there are no concerns with simply storing the followed blogs.

> Except the GDPR is full of hand-wavy stuff.

Can't win, legislation is either micromanaged or hand-wavy... it's worth noting that some of the hand-waving is actually business friendly.

I'm not saying these laws are perfect. There is definitely room for improvement, but this is still a consumer win over the pre-GDPR wild west.
5 Biggest Cryptocurrency Hackings
And ultrasound is 10-20$. I find it seriously expensive in US. One thing is the health insurance or public backed healthcare is not widely adopted and patients still pay from their own pockets in India so charging exorbitant amounts is a big no-no.
Ruby has distinct integer and float classes (Fixnum/Bignum and Float, respectively).
For a real world version of your "Bob" example, many people have negative associations with the names "Adolf" and "Hitler".

Do you think we should train AI to systematically ignore those sentiments?
This was an April fools joke but hit's every good policy idea NYC could do spot on. https://pedestrianobservations.com/2018/04/01/new-york-area-...

From a local controlling agency, from unifying our commuter rails, from joining with the path. All these things would be good for the city and people who live here but I cry because I'll never see a sliver of it in my lifetime.
Show HN: Tablo, Publish in eBook and paperback to nearly every shop in the world
Well it is, it's just by no means the only one.
No one is saying the model is wrong.

As the article states:

> As with Tia, Tamera has several choices she can make. She could simply accept these biases as is and do nothing, though at least now she won't be caught off-guard if users complain.

> She could make changes in the user interface, for example by having it present two gendered responses instead of just one, though she might not want to do that if the input message has a gendered pronoun (e.g., "Will she be there today?").

> She could try retraining the embedding model using a bias mitigation technique (e.g., as in Bolukbasi et al.) and examining how this affects downstream performance, or she might mitigate bias in the classifier directly when training her classifier (e.g., as in Dixon et al. [1], Beutel et al. [10], or Zhang et al. [11]).

> No matter what she decides to do, it's important that Tamera has done this type of analysis so that she's aware of what her product does and can make informed decisions.
Sorry- I edited. What I’m saying is that the server represents its owner, so when the server grants someone access in normal operation it’s not intrusion.
True again - biased humans creating biased machines asking biased questions and receiving biased answers.
Good, because the article clearly states that the critical takeway is that modelers must pay attention to statistical patterns, and not blithely ignore them.
> After all, they were likely to have less money and thus be less profitable customers.

By that logic, there'd be no business catering to poor people at all.
http://www.humboldtmarijuanashop.com
> I think the idea is to convince the company directly rather than relying on politicians.

Relying on politicians is hard in the short term, but regulatory policy fixes the problem more or less permanently in an accountable, democratic, and globally applicable (in a national context) way. If we as a society believe what Amazon is doing is fundamentally wrong, why not prohibit legally rather than rely on an ad-hoc solution that will probably be circumvented once attention fades away?
Here is a video that explains this blog well.
https://youtu.be/59bMh59JQDo

The unnerving part for me is this "eliminate negative associations/bias". Okay, how about we learn the truth, and then address that outside in real life and keep the computer doing what it's good at ... showing us the data.
Android apps aren't inherently closed; I use a handful from F-Droid, for example. I'd love it if a more open collection of apps could make the Android/Linux experience on my phone as good as GNU/Linux on my PCs (but tailored to the workload that I use my phone for, of course).
For a real world version of your "Bob" example, many people have negative associations with the names "Jamal" and "Mohammed".

Do you think we should train AI to systematically ignore those sentiments?
The Difference Between “INNER JOIN” and “OUTER JOIN”
>> Normally, we'd simply choose Model C. But what if we found that while Model C performs the best overall, it's also most likely to assign a more positive sentiment to the sentence "The main character is a man" than to the sentence "The main character is a woman"? Would we reconsider?

It seems like you have discovered that movie reviewers tend to review movies with am male main character more highly than movies with a female main character; what you need to consider is that while this may tell you something about movie reviewers, it doesn't necessarily tell you anything about the quality of the movie.
Talk about no sense of humour.
I'm reminded of a much more obvious example.

https://www.theverge.com/2016/3/24/11297050/tay-microsoft-ch...

I see a lot of comments about how its somehow sinister to want your model to be better than the lowest common denominator and that is pretty damn ridiculous.
Servers don't grant access. People grant access. People can make mistakes and set up servers to mistakenly allow access to things.

Making a mistake doesn't revoke someone's property rights.
Why are you spamming HN with links to w3techs.in ?

All brand new account created minutes before posting the links.
Is this monopolistic/cartel-like in nature, or is purely due to the costs of capital expenditures for research and development? Also, https://en.m.wikipedia.org/wiki/Pork_cycle.
That still doesn't mean that your training data is right for the predictions you're going to make.

Here's an example detached from any sort of politics. If you are training a language model, the maximum-likelihood model is one where the frequency of every word is the frequency that you observed that word, and the frequency of unseen words is 0.

On your training data, you'll measure the maximum-likelihood model as making more accurate predictions than any other model. But it's also useless, because when you use it on new data, it assigns an impossible probability, 0, to any sentence containing a word it's never seen.

This is a bias. You can't correct it by getting more data. You correct it by being an intelligent human who knows the maximum-likelihood model is wrong, and applying a correction on top of it (smoothing).

Now account for the bias (observed by Arvind Narayanan) that all your training data is in the past, and all the predictions you want to make are in the future, but circumstances change between the past and the future.
Since late 2.5.x, uCLinux has been more or less mainlined.

You can run regular Linux on these, you just probably don't want to.
Apple added a built-in option to map the caps lock key to escape. This not only makes sense from a RSI and efficiency perspective but is also closer to the keyboard that vi was originally designed for (the escape key was where modern PC keyboards put the tab).

A lot of dedicated vimers will use ctrl-[ instead of escape to avoid the inanity of reaching up there regardless of their keyboard, which is also a good approach if you're in the camp that maps caps lock to ctrl.

http://vim.wikia.com/wiki/Avoid_the_escape_key
Medical Marijuana for sale,buy Rick simpson oil humboldtmarijuanashop.com
Medical Marijuana for sale,buy Rick simpson oil,order Vape Pen Cartridges- http://www.humboldtmarijuanashop.com
BBC from yesterday, 320+ points:

https://news.ycombinator.com/item?id=16846781
As in, phone or email and you’re dead. Most email is backed by another email or phone. Targeting a phone like this is probably the sturdiest foothold if you get it right.
It has been awhile since I researched this, but I think you can just have n RTK receivers within some distance and get quality data, you don't need any actual base stations, you just need multiple simultaneous observations.
Predicitive value is the primary end of modelling. What's not an end in itself, as the fine article explains, is simplistically globally maximizing predictive power with reductive recommendations. This leads to tyranny of the majority, as the model optimizes only for majority viewpoints because they have more weight, while failing to serve minority users -- and as the number of dimensions increase, the number of people who are "majority" in all dimensions is a minority of users being well served!

So models must not be "one size fits all", but should allow a measure of personalization, so that in a world where most people prefer dogs to cats, cat lovers can still get content they enjoy.
I think that's false. A model may never reduce any probability to zero. Novel data is a normal feature of modelling.
Because AIs rely on real humans' judgments, and real humans are biased by fictional stories.
This makes me think: "Haven't any of these people seen a horror movie?"
Keep in mind this wasn't an analysis of whether people liked men or women in the lead role. It was basically pointing out that one statement was a little more likely to be more strongly positive than the other. So you think asking what level of positive (or negative) sentiment does this review express is a biased question?
I'm not unsympathetic to your concerns, but the obvious retort is that if you already know which results are accurate, why bother doing analysis?
Yet that update channel is a door for other attacks. Either its perfectly secure, in which case you need to use that security for your whole app! Or its not, and its vulnerable too. And terribly dangerous, because when broken it may allow complete compromise of the entire device.
> over Azure

Microsoft now cares about subscriptions (office365, etc) and monthly recurring "rental" revenue. Anything that gets people to spin up more Azure VMs and pay for them monthly, forever, and possibly get locked into the hosting platform, they're totally OK with. Doesn't matter if it's a Linux VM or a Windows VM running on their hypervisors as long as people are paying the bills.