skysight-inc/HackerNews huggingface dataset:
I don’t understand how people dare to run anything but software they have written themselves. Open source software sounds good, but I don’t review each line of code myself, so we can never tell. So you must consider every program you didn’t write or review line by line as potential malware.
If the problem is that the system is too efficient or too good (people need slack in their tethers —only catch 75% of tax cheats, deadbeat parents, etc.), I’m sure they can tweak the system to be “as efficient or accurate as people” but cheaper.
IMG_171254629948432.jpeg – Plik Niedostępny
"Found free file encryption software not for folder specia fundtion file monitor ,you can test it

view:https://www.idooencryption.com/idoo-file-encryption.htm

This is the feature-filled file and drive encryption software that delivers far more usable features than others do. idoo data encryption provides the complete range of file encryption, hide, deny read, shredder and many more."
Please note I never used a nationality in my comment, but referred to the countries themselves. Nothing I stated had any emotions behind it. I stated simple facts from personal experience.

Geolocating the origination points of an exploit is extremely useful. Your point of other countries using proxies being the prime reason. The simple fact is if China and Russia wanted to limit the number of attacks originating from their IP blocks they could do so. Since they more or less allow it to continue they are a common source of malicious traffic, and geo blocking will significantly reduce the number of attempted exploits you experience.
Meta-Rationality: An Introduction
There are different theories of the cause of the civilizational collapse of the Rapanui. It is agreed that the approximate time was near, within a century or so, of first contact with western explorers.

So knowing nothing else, perhaps their poor stewardship resulted in collapse a couple hundred years before Europeans arrived, or perhaps their fate after first contact followed a pathway down that we know all too well.
Looks like changes will need to be made for LuLu to work on Big Sur: https://github.com/objective-see/LuLu/issues/183
Granted, at the risk of spoiling it, the blackmail had a little bit more of a hold on the character than you might think.
Finest Grid
A jewelry CAD design service company
Huh? Please tell me which one of these "~500 businesses and media corps" is at work here and what exactly they are saying "we need to start..." doing that is, in actuality, screwing us. Else your diatribe has zero relevance.
that's not entirely true though. you're right about the superposition of energy eigenstates, and what i'm about to say is uninteresting from the perspective of the posted simulation, although it is interesting "in the real world"

in time dependent perturbation theory you can show that electrons can transition to different energy states through spontaneous emission. for example, psi(n=4,l=0)-->psi(n=3, l=1) by emitting a photon.

thus, the "change" in the simulation posted here would be uninteresting since it would just correspond to clicking a different eigenstate in the top right!
I wrote up a bit of a lengthy comment that hopefully sheds some light on this question: https://news.ycombinator.com/item?id=23697191

If I had to summarize it in a sentence, the solution proposed is "consider the ethical implications of misapplication of your work, and attempt up front to mitigate the damage that would result." It's more nuanced than that, but it's the reason some people don't accept Yann LeCun's "just debias the inputs" as sufficient.
It sounds like whoever wrote this malware is just as crappy as a programmer as I am. Reassuring, I guess.
Saying that the issue with the model was biased data is like saying the issue with obesity in America is that people eat too much. It's ignoring the broader context of the issue, in favour of a simple answer of "well if people ate less McDonald's, there wouldn't be an obesity crisis."
Sure: some of your purchase history definitely indicates behaviors that indicate you're a credit risk. Some of your purchase history indicates you're likely black (and if you're black, your credit risk is, empirically, a little higher-- even if it is not fair to not issue credit to people because they're black).

ML will figure out both but can't explain the hidden variables: it'll figure out behaviors that directly indicate higher risk, and behaviors that indicate you're a minority that tends to be a higher risk.
So basically ML is completely useless for certain applications at this point in time? Is that what I am to take away from this?
But that's the point, Lecun didn't reject the social impact, he was just not interested in that discussion. He was interested in a scientific discussion on the main cause of the bias. That was the all purpose of his first tweet. Then her reaction was about listening to marginalized people, which had nothing to do with the discussion - he never denied that those systems have bias and social impact.
> The editor is ... mine

One of the things I like most about vim is that you can use it on just about any remote machine, and even if you don't have your own vimrc the default editor is still really powerful.
I don't think immoral is the problem but rather amoral. In this case, that ethics was an afterthought.
MA announces no new coronavirus-related deaths for first time in months
Why not pick all those other hills to die on, then?

If you want to talk about statistical methods being a horrible idea for policing, I'm with you. Probably most machine learning experts would be, too, just like most software engineers don't trust electronic voting. Instead, people chose "dataset bias affects machine learning models", the most basic Machine Learning 101 fact ever, to try and debate against.

It's like the woke people seek out the weakest possible ground because it generates in-group opposition that they can fight with and out-woke. Stronger ground could have national consensus, way beyond bay area consensus.
“Part of what’s driving the soaring case loads in Imperial County is the influx of positive patients from Mexico. State officials say they’re primarily US citizens, hundreds of thousands of whom live in neighboring Baja, crossing back in search of superior health care.

The county has by far the state’s highest case numbers on a per capita basis, 3,414 per 100,000, as well as a positivity rate for tests that’s more than four times the state average.“

https://www.technologyreview.com/2020/06/30/1004696/theres-n...
This list is a pretty good place to start.
https://github.com/Igglybuff/awesome-piracy
I can certainly empathize with Gebru. I also feel frustrated when people post bad takes on Twitter, especially when I know they know better.

That doesn't mean we should condone her decision to start yelling about it. Shouting matches are a bad thing, even when they take place on Twitter instead of a hallway - most people don't want to work in fields where disputes are resolved through shaming and caps lock.
This is like someone saying they've used a DSLR professionally for a decade and couldn't say what benefits they get out of it over a point and shoot because they've never done anything other than leave it in automatic mode.

You owe it to yourself to explore and embrace the power of your tools as a professional.

Vi(m) in particular requires a deliberate effort from the user to learn its features, because of how it stays out of the way by design. It's not trying to be discoverable at the expense of experienced users.

Decades ago I tutored someone taking a C++ course who claimed to know vi and insisted on using it for the sessions. They knew how to use vi enough to be a notepad replacement, it was brutal to watch how much time they wasted neglecting to use any of vi's features at their fingertips. If you're navigating with a mouse or arrow keys, and treating vi as no more capable than notepad, you're not really using vi.
What does your link have to do with?:

"There’s way too much “we need to start...” bullshit these days, and mostly spearheaded by the same group of ~500 businesses and media corps"

There's no apparent connection that I can see.
It's trivial to generate more Bitcoin wallets, so you'll generally have a wallet assigned directly to your transaction (i.e. you will be assigned to send money to 1D1xUHdeiUewhDiuedoiuheOIUEH28udOUHD, and no one else will until the payment is closed). Upon receiving confirmations, the locking software would decrypt your files automatically.

Fun fact–according to a local security firm I stopped by, Ransomware developers actually have to have good customer service because once it becomes known that files don't get decrypted, no one will pay for Ransomware. I've even seen screenshots (posted on the internet, so take it with a grain of salt) where Ransomware teams unlocked computers for free because the subject couldn't afford to pay the ransom.
I'd be happy to provide that to waive the monthly fee, I just filled out your form...

Would love to have iMessage working from my windows computer
My first few times in linux after trying to read a file:

Ctrl+C esc esc Ctrl+c Ctrl+q

What is this! What is going on!?!

15 minutes of searching on my phone later, q...
They are not related as far as I can tell other than being named "Ampere".
Black faces were decoded to white. Bias was proven and strikingly obvious.
> In that role I'd expect that her mission would be to elevate the collective understanding of ethical problems in AI, and solutions to those problems

To butcher the phrase a bit:

“It is difficult to get a wo/man to correct something, when his/her salary depends on not fixing it.”
I remember reading Mamoine's original Pinlight display concept [1]. It blew my mind.

1. https://www.researchgate.net/publication/266659406_Pinlight_...
>> But that's the point, Lecun didn't reject the social impact, he was just not interested in that discussion. He was interested in a scientific discussion on the main cause of the bias.

This isn't allowed anymore, for better or worse. If you don't talk about things with a social justice lens on Twitter, you're liable to get called out as ignorant. It's the #1 subject on the site right now, and no place for discussing anything remotely adjacent to it without invoking it.
> we need to hold China accountable (and US/UK/western countries definitely have the power to do so)

This is not obvious.
You're not wrong about incentives, but an org where PMs have fully segregated duties from devs is exactly the organizational context that breeds disconnected engineers juicing their burndown chart. I mean what do you think is the predictable outcome from a PM whose main job is googling his competitors and stuffing high fantasy JIRA tickets in the engineering backlog based on his mystic customer divinations. Neither of these people has made contact with a customer in their lifetime.
>the issue isn't so much how safe specific models are, but rather what approaches the manufacturers are using to improve safety.

How would anybody possibly be able to characterize Tesla’s approach to improve safety today based on looking only at a test of one car eight years ago? You said it yourself: “improve” — the word implies a measurable delta in the data. But if the data is a static single value, there is no delta to work with.

And there’s no rule stating that this is the issue that a blog post must cover.

It’s a blog. The author is free to choose and cover any issue they please.

It’s just not a worthy issue to make claims about, if your data is so limited that you are (he is) trying to derive manufacturer behavior by looking only at a single car model year as a snapshot in time. It’s simply ridiculous to try to conclude anything from such data. And then to cover that up by presenting the results on twitter as a table that highlights the false conclusion... just dishonest imho.
The problem is, the "Lions of AI" do take them seriously - they just aren't beating their drums about it and making it the top thing they shout about.

All of the same concerns are discussed in their works about representational data and biased algorithms etc...
That's not the problem. To get a sense of it, let me punt to people who know more than me.

- https://www.propublica.org/article/machine-bias-risk-assessm...

- https://themarkup.org/locked-out/2020/05/28/access-denied-fa...

- https://ainowinstitute.org/AI_Now_2019_Report.pdf

I can recommend more if you get through those.
Unfortunately, long term, people tend to abandon them. US had many stockpiles before that it no longer does, because they were all sold off as "unneeded".
He live streams himself coding? Any other notable people? I know Notch did so once upon a time.
>> I still don't get what solution they are proposing to the problem.

They aren't proposing one. Most people would rather complain than fix.
Is it too entangled to say disregard anything that leads to a path that makes inferences based on demographics? Although I suppose age is also tough to avoid in assigning risk.
TLDR:

LeCun - ML is biased when datasets are biased. But unlike deploying to real world problems, I don't see any ethical obligation to use "unbiased" datasets for pure research or tinkering with models.

Gebru - This is wrong, this is hurtful to marginalized people and you need to listen to them. Watch my tutorial for an explanation.

Headlines from tutorial (that Gebru didn't even link herself): The CV community is largely homogenous and has very few black people. Here's a bunch of startups that purport to use CV to predict IQ, hiring, etc.
Marginalized people don't work on these platforms and there's no legal vetting for fairness before these platforms are deployed. Facial analysis has the highest rate of inaccuracy (gender classification) on fair-skinned men (?) and dark-skinned women. Datasets are usually white/male. Most object detection models are biased towards Western concepts (e.g. marriage). Crash test dummies are representative of males, so women and children are overrepresented in car crash injuries. Nearest neighbor image search is a unfair because of automation bias and surveillance bias. China is using face detection for surveilling ethnic minorities. Amazon's face recognition sold to police had the same biases (greater difficulty distinguishing between black women).

Now, I largely agree with what Gebru said in the tutorial. So does LeCun, who explicitly agreed a number of times that biased datasets/models should never be used for deployed solutions.

But it's a huge leap in logic to then demand that every research dataset be "unbiased". It's like criticizing someone for using exclusively male Lego figures to storyboard a movie shoot, or if I attacked a Chinese researcher because they only used Chinese faces to train a generative model, and none the outputs looked anything like me.

That being said, I'm open to being convinced if she had made any effort to show/prove that "use of biased datasets in research" is correlated with "biased outcomes in real world production deployments". But she didn't, which is why her criticism of LeCun smacks of cheap point-scoring rather than genuine debate (a criticism I made of Twitter generally the last time this topic came up).
The discussion mentioned the Tutorial on Fairness Accountability Transparency and Ethics in Computer Vision at CVPR 2020. The tutorial was recorded in three parts. The third part[1] includes solutions. These are either direct quotes or paraphrases of the bullet points contained therein.

1. Disaggregated Evaluations[2][3], Counterfactual Testing[4], Interpretability Methods[5]

2. Recognize [l]imitations(sic) of technical approaches (this discussion)

3. Model documentation frameworks[2]

4. Standardized framework for transparent dataset documentation [6]

5. Positionality awareness [7]

6. Actively follow the perspectives of people in marginalized groups

7. Make intentional design choices to privilege the perspectives of marginalized stakeholders who are at most risk of being harmed by the technology we develop

8. Value interdisciplinary and 'non-technical' work

Note: These are some of the sources given as examples. Some are omitted for the sake of time.

Also note: Just because there are points doesn't obligate you to agree with them

[1]. https://www.youtube.com/watch?v=vpPpwa7W93I&t=1499s

[2] https://arxiv.org/pdf/1810.03993.pdf

[3] http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a...

[4] https://research.google/pubs/pub46743/

[5] https://arxiv.org/pdf/1711.11443.pdf

[6] https://arxiv.org/pdf/1803.09010.pdf

[7] https://dl.acm.org/doi/abs/10.1145/3351095.3375666
"why are YOU too dumb to understand this?"

Citation needed. I don't like this sensationalism.

"civil and constructive conversations."

What was uncivil nor constructive? One person blamed a dataset for bias, but said researchers should not be on the hook for consequences stemming from the output that could be put into a deployed product. The other disagreed with the notion and stating that this was brought up in the past showing clear frustration. Uncivil tends to be a dogwhistle indicating how a person SHOULD act as if there are strict set of parameters for how to show frustration.
No it doesn't. You can't steal something that hasn't happened yet.

E wry game I've bootleggedI've eventually gone and bought When I had the dosh and the terms were right. You can't claim you "lost me as a potential sale." Otherwise, you'd have grounds for counting everyone who didn't buy your game or whatever IP as a loss.

Until it materializes, it isn't yours to account for. Just as I can't sue a chicken for the egg inlaid, it makes no sense to allow for the legal recognition of "potential sales lost".

Especially nowadays more than ever, where one isn't even largely acquiring the thing anymore, but signing a contract to host an entertainment experience on hardware they supposedly own,but which has been in reality co-opted at the manufacturing and design level by rights holders to put in place the means of extortion from society their perceived pound of flesh with no recourse.

In fact, I'd say if it's fine for you to keep track of and argue the harm of lost potential sales, I should have a matching valid claim in potential buys I was never able to make because industry colluded to ensure that proprietary anti-features in the form of DRM were included in all the hardware I haven't subsequently purchased.

Fair's only fair after all.

I don't know about you, but I'd prefer the law stick to matters of the actual rather than hypothetical.

And before you argue there is a difference between not making something for purchase (hardware platforms sans DRM mechanisms) and not realizing a sale because of privacy, I would advise you to consider the dual nature of transactions. Value is not created, merely exchanged via fungible means. Just as I'm cheated out of DRM free hardware by collisions with industry by rights holders, so too are rights holders plagued by those who find ways around things.

I'd rather live in a world where useful information could flow freely. I'm still willing to compensate for something that genuinely entertains, enlightens, or helps me. That magnanimity goes down the hole once it turns into extortion.

And make no mistake, it always does. I've yet to see a significantly cheaper ebook than a paperback. Instead, I see them treated as roughly equivalent despite the sharp loss of utility of a DRM'd artifact.

Until that madness resolves, and I stop running into people who feel entitled to hypothetical sales, I see no reason to take rightholders as arguing at all in good faith.
MMO gold farmers are using deep learning to defeat bosses [video]
He has the privilege to ignore that discussion. That doesn't mean everyone else does, or that other people can't be frustrated with that choice.
Twitter is designed quite effectively to prevent constructive conversations.
I used it 2 years ago to watch the olympics. Going to have to find an alternative...
>> I somehow suspect that the Basic Law does not actually give Hong Kong the right to become autonomous.

> It does, article one states HK should have high degree of autonomy and etc...

Wow. This may be the single most dishonest thing I've ever seen someone post to HN!

For reference, here is the actual text, in full, of Article 1 of the Basic Law:

> The Hong Kong Special Administrative Region is an inalienable part of the People's Republic of China.

( https://www.basiclaw.gov.hk/en/basiclawtext/chapter_1.html )

This has no effect other than denying Hong Kong the right to become autonomous.
> What? ...
> In other words, no, you don't run out of memory after 40 multiplications...

So you think one case proves there is no set of 40 multiplications that overflows?

Since we're using a small starting value and only one operation per iteration, let's try 50 mults:

x = frac(7,8)
for i = 1 to 50
x = x * x
print(x) # as exact decimal fraction

Tell me how much ram and time this took you to evaluate with exact rational values. I'll wait :)

(Hint: you'll need approx 500 terabytes of ram to store these integers. I guess I didn't really need all 50 iterations! )

If you want only 40 mults, then using different starting values and adding a few additions will cause the same overflow. In fact, all sorts of common algorithms will overflow in very few operations using rationals. This is why numerical algorithms textbooks don't even cover it as a possibility - it's a terrible idea thrown out decades ago for precisely these reasons.

Your exact rational number idea has replaced predictable behavior on reasonable inputs with highly finicky unstable behavior, and a programmer will have no idea how to ensure things don't go off the rails for common uses.

In each reply you make fundamental math errors, provably incorrect claims, and don't stop to learn. I already gave a proof that such simple things will overflow - you ignored it, then tried to prove the converse with one toy example. It's not worth showing you more errors when you ignore evidence and continue disproven claims.

We're done. You're too stubborn to absorb relevant material.
ML, like most programming fields, has quite a few minorities - many organizations are majority-minority.
>At Cisco, the unnamed employee reported Iyer to human resources in November 2016 for outing him as a Dalit to colleagues. Iyer allegedly retaliated, but Cisco determined caste discrimination was not illegal and issues continued through 2018, the lawsuit states.

I wouldn't expect HR to side with the lower level employee as generally HR groups are there to protect the company.... but I would wonder what their findings were that found it wasn't illegal.
This always seems to pop up in these discussions but I don't think I am terribly convinced by his argument. For example, he doesn't mention that option (c) is better than option (a) if you need to iterate backwards. In that case option (a) becomes option (b), which everyone can agree objectively sucks :)
I started using Vim about 10 years ago. I wanted an editor to force me to use the keyboard in a different way as I suspected it would ease my RSI.

After using Vim as my main editor, my RSI went away.

These days I've gone back to an IDE but I still use Vim for single file editing.
> Just a reminder that none of this is factual or evidence. It COULD be, but just because somebody writes something doesn't make it true.

You’re essentially describing eyewitness testimony, right? It should be at least as credible in the court of public opinion as it is in a court of law.
Sounds like a good way to get voted out in favor of the other guy who promises short term benefits.
So someone is frustrated because they persist in blaming the wrong people for a problem? Whose fault is that?
What I want so badly is real vim with an easy and expansive plugin system. I get by okay with neovim + Plug, but there's still more friction than I'd like. Bought the Oni2 early access because it looks promising, but its not quite there yet.
Ask some women in leadership positions what they think about this. You’ll probably be surprised at how many agree with her.