skysight-inc/HackerNews huggingface dataset:
I daily-drove a rear-drive Alfa Romeo Spider for 5 Boston winters. Then drove a rear-drive Mercedes E300TD for another 4 Boston winters (though that one I at least put snow tires on). You learn pretty quickly what the car can and can't do; even on summer tires (and a limited-slip differential), the Alfa would go until it got high-centered on the snowpack. Either would handily out-perform my current Nissan LEAF (FWD) in the snow. LEAF factory tires are designed for economy, not winter traction.
Phrenology was bad because it was scientifically invalid. I don't see any problem with predicting traits from appearances, at least, not intrinsically if the data is accurate.
Who said indefinitely? Don't make straw men.

New York shows that even with a massive outbreak, you can contain it in about 9 weeks. This is data and fact (and the wonder of exponential growth and decay).

But, yeah, during that 9 weeks you have to be SERIOUS about it. After that, you can start opening some things up with precautions.
I'm not sure about other people but I don't "think" I want a la carte, I absolutely know I do. So much so that I don't pay for anything because nobody offers what I'm willing to pay for.
This is true for commercial ships too. Drug use (both alcohol and various illegal drugs) is something humans turn to when they are bored, and life aboard a ship can be very boring. If it gets exciting again while you're impaired that is likely to go very badly wrong very quickly.

Airline pilots have sometimes been caught, most flights just aren't long enough for you to be sober at both ends yet drunk during the flight - but for the crew of a tramp freighter so long as they sleep it off before they come into port nobody will know - unless there's an accident and suddenly everything is happening with unseemly haste.
Yes this is an art form in itself. I've been planning to do a series on debugging Modelica and the different failure modes that come up, and what tools can be used. It is a known limitation in the Modelica community, but it is also really hard to address in an automatic fashion. See [1] and [2] for some ideas.

[1] https://reference.wolfram.com/system-modeler/UserGuide/Simul...

[2] https://liu.diva-portal.org/smash/get/diva2:801004/FULLTEXT0...
I found the app to be gorgeous and well designed. Very smooth. I would go as far as considering this over JIRA.

Only thing I’m not really keen on is the sign in with the google account. I’d rather pay to have an account than have to sign up with google.

Sign in with regular email doesn’t really work either, because it never gives you a way to create a password, it just sends a code to your email. If I want to login from a different computer with same email, I can’t unless I sign in with a google account.
I think some people don't get just how offensive Confederate monuments can be, because most of them are intentionally couched in language that obscured what they represent. This is similar to how, in early US politics, slavery was referred to as "the peculiar institution" or even more vaguely - e.g. the original US Constitution never says "slave", but instead talks of "free persons" and "other persons", or "persons bound to service".

But some of them are just so inherently offensive, the contents overpowers the presentation - e.g. the "faithful slave" monuments and memorials. Perhaps contemplating these might help understand more subtle problems with the rest, so here's a few examples:

https://www.hmdb.org/m.asp?m=42188

https://www.flickr.com/photos/jstephenconn/5136209868

https://docsouth.unc.edu/commland/monument/245/

https://commons.wikimedia.org/wiki/File:Slave_memorial_at_Pr...
Yeah. I do think that Redis has suffered from some mission creep, including a deprecated misadventure in to a mode where values could be stored on disk and only temporarily cached in memory.

Maybe that's what Cal and his colleagues were using it for at the time, but the claim that it started as a volatile cache is just not true. Interesting datastructures and the fork based persistence model were there from the start.
Ok, also am curious about multi-insertion with cntr-left/right that vscode does:

For example, let’s say I have a json object with variety of field names, one per line and I want to remove the quotes.

With vscode, I can alt select all lines, Home Ctrl+right del cntl+right del.

The trick is the field names are different length, does vim have multi-edit with the ability to navigate relative to each insertion point?

Edit: Here is a good video example (https://youtu.be/iomWEDMBlcE)

Can vim do something like that?
Thank you! I will take a look at this
I wanted to write to address your point about the technical assertion, without getting into your request that Gebru empathize with one of the most prominent figures in science.

LeCun focused on the narrow technical question of statistical bias. Gebru and many many others have raised the point that an algorithm which works equally well for all skin tones will still have a societal impact, and they want to question that impact. How does a given new technology shift power? In whose favor, and at whose expense? That's the question which is arguably more important than some accuracy on a benchmark -- which as LeCun points out is easily solved with a more representative dataset.

Have you engaged with any of the critical study of AI, from Gebru or others, like the AI Now Institute at NYU or Ruha Benjamin at Princeton, or one of the lots of other scholars even in that one Twitter thread? The results of their work have included the recent IBM and Amazon moratoria on the sale of computer vision technology, and likely others to come.

The fact that LeCun refused to engage with a valid and deep criticism of a paper (which was not even his), to me at least, indicates a lack of willingness to engage critically with the social impacts of computer vision. Gebru's tweet pointed out that lack of willingness and her frustration with it, and also the fact that LeCun has had ample time to hear of it (it is in the news a lot, especially after these Amazon and IBM announcements, but groups like AI Now have been describing this for years.)

How about some empathy for Gebru? I would argue that she actually has more on the line than the single most celebrated individual in computer vision in this situation.
Think this may have an effect of pushing more people to get adblockers and Netflix subscriptions than anything else. Or they just want people to get free Youtube so that they have a wider audience of ad viewers to sell to advertisers.
I've experienced this during a previous illness. My suspicion is that some of it is caused by withdrawal from alcohol. Many people drink a lot and when entering a hospital ICU you are suddenly a teetotaler. This, in combination with opiates, seems like a recipe for delirium. Maybe there is no other recourse, certainly giving a patient alcohol while using opiates in an ICU seems like a bad idea, although clinicians are used to carefully maintaining balances of drug combinations. This also seems like an area where research is not being funded, similar to how research into finding a cure for the ill effects of alcohol on the body is not funded. There is a strong streak of misplaced moralism in medicine that has been present for decades if not centuries, that I believe inclines doctors to think such bad effects are punishment for drinking in the first place and hence letting people suffer is just. I hope I'm wrong.
That's my point. Everything available for Android proper is a toy. I have a Tab S6 with 8GB of RAM and 256GB of storage -- it can do a lot more than play Netflix.
Right, probably it’s better to look at the model and call it “fair model” as long as the model output error on a given class of inputs is inversely proportional to the percent of this class in training data (eg more training data of the same class means less error and less training data means more error). I can’t recall a single ML model which was not fair though I mostly deal with texts, not images.
I don't understand why they don't do that with YouTube channels too [edit: as in "sub to each channel a la cart"]. Let users pay $1 or $2 a month to disable ads on a channel (or $10 a month for "YouTube Premium"). That seems much more sustainable than relying exclusively on ads for income and loosing potential subscription customers to Patreon. They could even offer higher priced, per-channel subscription tiers that add flairs to comments and unlock emojis like Twitch.

Twitch, Floatplane, and Patreon are all proof it's a viable strategy.

Ad revenue has proven to be terribly unstable and YouTube is extremely expensive to maintain. They should be desperately trying to diversify their revenue.

Right now, every video that isn't "advertiser friendly" is dead weight and money on the table.
Re 3) how does one look into gaining access to a shell on a hard disk controller?
> Everything gets a clean install and only non-binaries get restored from backup.

I can do that more easily if I don't loose ~2–3 days of work though (or whatever amount of time has passed since the last offline backup). Even if I need to manually go through the documents so that only non-binaries are restored, just having them would probably be helpful.

I don't know, I guess it depends a lot on the actual situation: what I was working on at the time, etc. But that $50 price tag seems alluring.
> I believe because the name / information doesn't match what's listed on the receiving bank.
reply

In India and Australia, the banks just use the account number not the name. If you screw that up its completely your fault. The bank might help but its not obligated to do so since you accepted these terms and conditions.
I'm not from the US but there is a link between socioeconomic status and education. I would assume that with the large percentage of minorities, especially black Americans, raised in poverty that there would be a lack of suitable candidates. Just one of the ways that history of racism affects the modern world.

Do they have any practical suggestions on where to find a huge number of suitable qualified people? The people in prestigious academic positions often come from not just non-poverty backgrounds but wealthy backgrounds.
Yes but I also gave a pretty likely hypothesis as to why the hackers appear Chinese. The OP is claiming DDoS attacks which are likely from compromised machines.

So if that is true then the viewpoint of blaming it on Chinese becomes nonsensical and also wrong. So given that there is reasonable doubt, is it right to attribute this "being a hacker" to having anything to do with being Chinese in any way?
It's crazy that at the time of the handover, Hong Kong accounted for about 20% of China's GDP. Today, it's just 2.7%
Trump has bought all the remdesivir produced in the next three months.

https://www.theguardian.com/us-news/2020/jun/30/us-buys-up-w...
How can the show ever become viral? if no one talks about it on social media, can't take screens to make memes, gifs about it?

I know the sharing feature would have been so much better I assumed they would add this soon.
If I watch something and have no-one to share it with in my social circle it loses its buzz appeal.
Like the most un-entertaining crap (90day finance) is interesting because the people I know also watch it. It becomes a topic. Telling someone about a show they can't access or see even a clip of it online to find out if they are interested in paying $$$ for it seems like a failed business plan in our internet based world.
Back to?
Rendering Multimedia in Pure C
And led to government regulation of distributing guns.

Have government grants for ML research be contingent on training on diverse datasets. Fund research into more diverse benchmarks and push them as the goal to beat.
Presumably you'd say which wallet the money is coming from? How do legal Bitcoin payments handle this question?
Look into Financial Independence and 4% Safe withdrawal rate. Also look up lazy portfolio.
You may be confusing YouTube TV (a replacement for cable TV) with YouTube Premium (ad-free access to YouTube and Google Play Music).
Thanks for putting so much effort into Redis! The software itself is awesome (I've been using it one way or another over the span of nearly a decade now), and in my opinion anyway you've handled the project and yourself in an exemplary way. You're the only programmer I can really say I think of as a personal hero. Best of luck in the future!
It's not the words, it's the idea that Senegal is representative of darker people and could produce the correct results. It's an indication that he still doesn't understand.
I can't help but shake my head at this whole story.

Someone (who by the way describes themselves more as an artist than anything else in public bios) builds a ML "bullshit artist" (literally) that hallucinates portraits from ridiculously undersampled data. Someone else runs a low resolution image of Obama through a hallucinating computer program, and gets a hallucination.

The story should end here at "these hallucinated portraits have basically nothing to do with the input data, they're meaningless". I would bet that input images that are this low resolution are difficult or impossible to determine the race of, no matter how diverse the training data for this model could have been. Note that the skin color of the low resolution Obama and the random "white" guy it generated are basically the same!? I doubt this pipeline will ever be capable of not confusing the race of its input and output.

What is on display here is the uselessness of this ML pipeline, not its racist nature. I have seen probably a dozen of examples of this ML pipeline failing hilariously in ways that have nothing to do with race. Yet this failure is suddenly fascinating to the entire tech journalism space as an example of ML algorithms being racist?!

And somehow, despite the absurdity of this situation, even ML "luminaries" get drawn into a destructive whirlpool of social justice debate about a hallucinating computer program that doesn't even work sometimes? What the fuck are we all doing here?
Facebook is rich enough to invest in black people's education and essentially train data scientists from the ground up. A black scholarship for data science would be a great gesture from them. Plenty of other industries do this for their fields as well.
It should be noted there are many vested interests in setting this narrative (among them, commercial real estate owners, the management class of businesses), and two or three instances of failures to migrate to WFH do not imply the idea is universally DOA.
The colds that would crop up after a month always surprised me during my deployments. Where did it come from? We haven't had contact with anyone outside our group of like 40-50 people.

I remember always feeling suddenly overwhelmed by people. You spend a few months with only a couple dozen people. Then you end up in NZ or Chile and fly back stateside. Suddenly there are thousands of people around.

Dang, I suddenly miss all my Antarctic peeps.
I was wondering what language do you code in? I am a proficient Vim user but the more I use VScode for writing Python code, the harder it gets for me to justify using Vim for serious development.
If you're gonna pirate, at least do a checksum or something.
At least they were nice enough to include a link to cancel the service in their email about the price hike. Seriously! Other services purposefully make it difficult, so props to Google for doing the right thing there.

I liked the service but I just don't use it enough to continue. I'll re-subscribe when they drop the price again.
No, because they're flagged as "hacking tools" explicitly -they're not being misidentified.
There will be no accurate data for this because traits are subjective. Unlike other subjective predictive modeling, like sentiment analysis, I cannot feasibly think of a use-case for this that is not deeply disturbing.

I really don't want my field to regress towards 19th-century pseudoscience when we can empower other scientific advancements that will yield immediate benefits.
That's just evolutionary theory applied to groups. Bacteria that allocate resources to existential risks (e.g. antibiotics) operate at a disadvantage to bacteria that do not, except in environments with frequent encounters with antibiotics.
I've resigned from TV be it cable or online version ages ago and have never looked back. Not paying crazy price for bunch of garbage with the one or two channels I've used to actually watch. Goodbye vultures.
A pretty significant chunk of casual computer users really don't give a damn about any of the files on their computer. Especially nowadays, when so much of our files live in the cloud, rather than on local storage. $50 is the most they could reasonably charge, before users would say "screw it" and wipe the HDD (my speculation, of course)
> Given the publicity such problems have gained in the community, one would expect publishers of any model to verify it doesn't fail with the most obvious examples. Not doing so is negligent at best.

Here's what the authors say about their own work:

> PULSE makes imaginary faces of people who do not exist, which should not be confused for real people. It will not help identify or reconstruct the original image.

Furthermore, this author appears to describe themselves as a more of an artist and hobbyist. This isn't someone making some kind of statement about ML research. This is someone playing with computerized art, and the entire social media tech mob dogpiles his work over what exactly?

The negligence here is on the part of everyone getting their hackles raised over nothing.
I guess the question is why would that be germane to issuing credit? Is it correlated to something that indicated actual credit risk? If it makes erroneous assumptions correlations, would it not behoove them to eliminate the contamination?
I'm not a professional economist, but to my eye this assumes that if I'm willing to pay $10 for one channel and $3 for another, I'm willing to pay $13 for both. This seems like a bad assumption especially for media, because since TV channels serve as substitutions for each other; if I watch one I'm not going to watch another. I'm not sure if this simplification preserves the results.
Hmm yep I definitely was lol
ML models don't exist in a vacuum, but they do exist in an empirical reality. And in an empirical reality, there is always the fundamental unbiased measure of success: predicting whatever it is the model is built to predict.

And this, I think is the knife that separates the different schools of thought on the issue.

People who are judging whether an ML model is "good" or "bad" based on this criteria necessarily see the accusation of "bias" as a claim that their model is not successfully predicting things. They rightfully retort that they would do a better job with an unbiased dataset. To argue they are their models are always wrong on their terms is to argue that there is a Ken Thompson-like hack in their mathematics. [1]

On the other hand, people who judge ML models by criteria like how they might be used or interpreted by laypeople are fundamentally talking about something other than ML models-qua-mathematical models. To the modelers, you might as well be arguing that the theory of nuclear fission is biased against the Japanese. But you are not actually talking about the empirical quality of their model, and so on your own terms you are correct. The models can be used improperly, and researchers should be careful about how their findings are perceived.

[1] https://wiki.c2.com/?TheKenThompsonHack
Not really sure which poor countries you are talking about but in India the smaller the amount, the cheaper it is to transfer. <10k INR is most simplest transaction you can do by simply downloading any payment app and using UPI. >100k INR is where transaction costs usually creep in.
yeah but their spreadsheet blows the pants off of whatever garbage macOS trys to pass off as an Excel replacement.
They don't stop so quickly in crash. It's how fast you stop that makes it dangerous.
And you don't even know that the app is sandboxed!
It doesn't seem manufactured. The company spokeswoman explicitly said this is what happened:

> “At this time, we think it’s important we put our money where our mouth is, and direct some of our discretionary funds — such as those typically used to fund a spot bonus program (which is separate and distinct of our annual bonus program) — to bolster our efforts to ensure our products and services are accessible to the people who need them,” she said.
Really?

Can't say I give a damn about Visa and MasterCard.
If you look at this single instance, independent of the world around it, it looks ridiculous.

You need to look at it in the context of a long[1] list[2] of works[3] detailing this exact problem, and the frustration that an leading expert in the field still doesn't take it seriously, despite the real-world consequences of that attitude.

1) https://www.pnas.org/content/117/14/7684

2) http://proceedings.mlr.press/v81/buolamwini18a.html?mod=arti...

3) https://www.liebertpub.com/doi/full/10.1089/big.2016.0047
> But the island, called Rapa Nui by its Indigenous people

Then why have you titled it Easter Island?

I'm inclined to agree with the idea that the destruction of the once-thriving island was caused by the arrival of Europeans, as it was elsewhere in the world... mainly by disease and enslavement.

Blackbirding was in full swing in the Pacific:

> Almost 150 men, women and children paddle out to the ship. Some swim. On board they are invited to share a feast (or, some say, view the wares) below deck. But as soon as they descend the stairs, the trapdoors slam shut and the ship sails away with about half the population of ‘Ata locked in its hold.

- https://www.noted.co.nz/currently/currently-history/blackbir...
100% concur with this. I learnt Vim many years ago and I genuinely don't know what I'd do without it. It's always just there when I ssh into a new server. And the JetBrains suite has an awesome vim mode meaning I can use most (but not all) vim shortcuts with an actual IDE. I don't think vim itself works well as an IDE substitute, and wouldn't use it for hardcore web dev for example - but for quickly editing random files there's nothing that comes close.
It's really, really hard to erase biases that are deeply systemic.

For example, from the outset, would you object to an AI that made decisions on how harshly to sentence someone based on age & number of prior crimes?

What about hiring or admitting people to college based on the results of an IQ test?

Yeah, those end up being badly biased, this first has been studied and the second is the reason for dropping SAT/ACT scores--every mental ability test correlates with IQ.

The more interesting thing, IMHO, is that the opposite is also helpful. For example, if you help all poor people equally, you help even the playing field by disproportionately helping out all disadvantaged groups.
If you're wanting desktop software, Affinity[0] sells one-time-purchase licenses for their Photo, Designer, and Publisher software. I've never used Photoshop/Illustrator and generally do rather light work when I do need to edit/design, but I've been very happy with my purchase. Each license is $50, and the recently went on sale for $25 (but that's over now).

[0]: https://affinity.serif.com
There are backdoored binaries for FOSS projects (filezilla comes to mind), and well-behaved proprietary programs.
Everything about PayPal and how to add PayPal into your WordPress e-commerce
"Garbage In, Garbage Out" apparently dates back to 1957. I remember the expression from the very first computer book I read in the 80s.

The idea that this concept, one almost as old as computers and practically a theorem of computation, would somehow be racist or trying to paper over racism is ridiculous.
They have lost almost 4 million subscriber this year. And streaming companies, such as YouTube TV, have also lost subscribers. So these people just stopped.
Pylance supports .pyi files.