skysight-inc/HackerNews huggingface dataset:
It requires informed consent for any personal data being processed. It's entirely plausible to have a useful telemetry system without any personal data. (I have no knowledge of what MS does store.)
Like in The Reasoned Schemer? https://mitpress.mit.edu/books/reasoned-schemer
"the replacement of fast-food workers with robots won't really open up a whole new field in the same sense"

No, it won't look exactly like moving from human computers to machine computers. It won't look exactly like moving from manual farming to tractors and combines. It's hard to imagine what it will look like, but it seems overly pessimistic to just assume that this time automation is going to turn out terribly.
École 42, a free, teacher-less university schooling programmers (2017)
Putting the ineffective sarcasm and nonsense aside, let me ask you one thing:

Why do you act against your own self-interest?
You attacked a very poor interpretation of the parent comment then. Claiming ' they may have iphones, but they don't have food ' is patently ridiculous.
Square CFO to Become New CEO of Nextdoor
A coordinated stance would also be helpful, release both at the same time.
> We started just with a business plan, a financial model and kind of a hope that our $19 million that we raised from—you know—friends and family would someday, maybe create a little company that could own a few buildings

I need friends and family who can scrape together $19,000,000.

(Disclaimer: I work in Kendall Sq., not in an Alexandria property)
Iirc he contacted friends at TWTR.
I would suggest therapy or religion to those people.
This is because LA is basically a giant suburb with a few city-like areas.

USA have very few "proper", dense cities, in the European sense of the world. In these cities, like NYC and Chicago, public transit does quite OK. A lot of successful people don't own a car exactly because they can afford not to.

Of course, most of the US territory, including most cities, and areas as important as major cities (see Silicon Valley) are suburbs, if not outright countryside. At a low density, public transportation makes much, much less sense, so it's not get built.
DNS Addressing (How to on Windows)
People waiting for UBI can get in the same line as the people waiting for the singularity.
The United States, Canada and others are too sprawling and sparse for that. Cars are going to be a fact of life for a very long time yet.

As far as helping to solve climate change, cars are part of it, but I wish people paid much more attention to the larger contributor: Agriculture.

I often get the feeling that people think changing cars to electric will solve the problem. It's important and helps, but it's just one piece of the pie. Not the biggest piece of it either.
There Goes Hurricane Florence; Here Come the Disaster Myths
I don’t know if thats true: I think everyone wants a “fair” distribution of wealth. The question is in the definition of fair, and means to achieve it. Conservatives believe that distribution achieved by tax and regulation will hurt the total economic production of the US, and lead to everyone being worse off, though more equal (in the extreme: everyone is equally poor), and they also consider it fair that the distribution is unequal (as do liberals). Its just a matter of how unequal.

But at least part of their definition of includes that they have the chance to increase their position, which is incompatible with tax/regulation at the extreme: if everyone has their incomes set in stone by the government, there is no chance to change in status.

But losing all low-level jobs to robots, notably, removes that chance. For different reasons than the liberal (who dislikes it for the centralization of wealth/power, and the extreme polarization of wealth distribution), conservatives would intuitively be against it for the denial of opportunity across the board

Tldr: everyone hates being poor/homeless, and too many people being homeless will cause a revolt regardless of their individual political leanings.
Actually, I wouldn’t read HN if it wasn’t for the “professional UI designers” who built apps on the top of HN :)
I suggest you read the article if you're curious how they created their list. They explain their methodology pretty thoroughly.
Laplace transformations are differential equations so I fail to see your point. They're just in a different domain. However I do see your point with numerical methods since most complex problems are simulated anyways through simulating software. So in essence, the application becomes pointless because its at such a higher level of abstraction that you don't even have to think about it. You just punch in some numbers and hit analyze and the computer does it all for you.
I don't care if people post them to my github issue tracker, or fork my repository. People are welcome to collaborate. I'd even add someone else as an admin on it if they want to manage it. Some projects I have no desire to manage myself, and until someone opens an issue asking for privileges, I'm not going to make an effort to respond.

You can turn of GitHub notifications without turning off the collaboration features. Thus, while the collaboration features work, I simply don't collaborate. Easy peasy. If others want to, fine; I could care less. Just don't break my license.
Disaggregating the results by race is real cute but also misses the point: blacks and asians and hispanics are residents of the state too and so leaving them in to evaluate the state's overall achievement (relative to other states) in education is fair. If anything it ought to be more problematic that Texas fails so badly at educating hispanic students when a fifth of them live in Texas.

Besides, the race in big-gap states is an unwitting proxy to income, so disaggregate by household per capita income (relative to local cost of living) if you want to disdain. This methodology would work well in all states and expose the challenges of anxiety and the quality of a student's home life in their education attainment.
Show HN: React Easy State 6: Practical Proxy Based React State Management
If we can't get rid of cars I'm really not sure there is a future.
I should add: Lutz is a climate change denier. [1] He has spent a lot of energy sowing skepticism towards the IPCC and anthropogenic climate change, calling it a "crock of shit." His antagonism towards Tesla goes deeper than just that of business competitors.

[1] https://www.youtube.com/watch?v=Klgp_qDiRhQ
Moz Acquires STAT Search Analytics
Exactly, discovering economic biases is like discovering optical illusions. The existence of optical illusions doesn't mean that human sight is always flawed, only flawed in certain edge cases.
You're saying if somebody is an engineer at a company that helps launches ICOs they should be worried?
Ronald Reagan comes back to life at presidential library with VR
Haha... I wasn't on Hacker News then, so I beg your forgiveness :)

That's funny, but as someone who still does not use drop box, NFS shares seem a lot easier to me than setting up drop box. I think I tried drop box once but I found it more onerous to log in than to type mount /mnt/nfs , so.... I guess I'm not the target market (and that's okay!).
I have a wooden house from the 30’s: because I like the feel and I like the trees.

I should have been clearer: there are houses from the 80's that I love. However there are also many houses from the 80's that are built poorly or are just fugly.
Keybase.io might be a solution. Not sure how much space they give though.
Interesting idea. In practice how do you isolate/integrate the generated code from/with the handcrafted one? Does it feel natural?

I'm also really curious about the rationale for the cobolish make a be b minus c. Cobol did that because it didn't aim to be used by programmers. How about Zolang?
I'm surprised they haven't looked into WZor more. Seems like they have a good amount of backdoors into Microsoft as a company.
Or we could support the authors -- Let's not make HN the kind of community that encourages posting ways around paying journalists for their work on articles that keep our industry in check.
Stanislav Petrov single-handedly prevented an all-out nuclear war in 83: https://en.wikipedia.org/wiki/1983_Soviet_nuclear_false_alar...
> the training data needs to be a fictional, idealized set, and not based on real world data that already has bias slants built in

Thatd be great, but in this case (as in most ML cases) the idea is not "follow this known, tedious process" but instead "we have inputs and results but dont know the rules that connect them, can you figure out the rules?"

> this is what my company looks like

In tech hiring, no one wants the team they have...they want more people but without regrets (including regretting the cost)
Do you have to consider a lot of Jascript- or even engine-specific quirks to write fast code like this, or is it mostly about paying attention to more general principles?

My impression is that JS engines can handle straightforward imperative code on typed arrays very well. But is there more stuff that I should pay attention to when writing performance-sensitive code that acts on large datasets in JS?
WOW- Upverter is pretty amazing! I bet you have lots of fun developing it!
Guns don't do anything without bullets. Bullets don't do anything if they don't hit a target. Disable power and communications and most people become immediately useless at living, let alone mounting an assault.

The days of sheer numbers being useful are long past in the era of modern warfare.
Do you have some information not present in the article? There seem to be some assumptions on the training process in your comment that are not sourced in the article.

I'll don my flack jacket for this one, but based on population statistics I believe a statistically significant number of women have children. A plausible hypothesis is that a typical female candidate is at a 9 month disadvantage against male employees and that that is a statistically significant effect detected by this Amazon tool.

Now, the article says that the results of the tool were 'nearly random', so that probably wasn't the issue. But just because the result of a machine learning process is biased does not indicate that the teacher is biased. It indicates that the data is biased, and bias always has a chance to be linked to real-world phenomenon.
Courts don't create the law, they interpret it (...except in India, where the Supreme Court actually does make laws). The Legislature writes the law.

A security doesn't require a common enterprise, it simply requires that one thing represents an interest in something else. The underlying asset is usually financial or intangible in nature, but that isn't required. There are more specific rules and exceptions, but those vary by jurisdiction.
The source of the problem is simple. Real societal value is generated through this activity, but it is reaped entirely by Uniqlo and its stakeholders.

Yes, consumers are also a stakeholder, but your typical consumer will receive very little or no direct benefit from this change. Eventually, yes, the profits will be reinvested, but the impact will be so diluted as to be a noticeable. Some small fraction of it will probably also go to tax evasion, being expatriated or sequestered by wealthy upper management.

Meanwhile, a whole lot of people are suddenly out of work, imposing significant negative externalities on them and their families. This could conceivably ruin a marriage, or turn a good parent into a raging alcoholic. It may well be that the negative gain to society (in the form of laying off so many employees) has severe follow-on effects, and in terms of net welfare this could do more harm than good.

The effects of leaving the workers out of the profit-sharing is more than just a matter of equity. Without redistribution of the welfare created by automation, it's perfectly conceivable that the net welfare gain is negative due to the negative second-order effects outweighing the positive second-order effects.

This is the stuff they don't teach you in Econ 101, but it's how things really work.
So "Edge" is the new "Cloud". Got it.
These are all very different types of entities than communes. The Farm, DR and Earthaven are all important collective living situations and historically important intentional communities. None of them are currently communes, as in shared income situations. This makes their operations much easier. People can have different and separate financial situations, there is no need for a shared cottage industry. Members can work straight jobs in the outside world and bring money home. All the FEC communities pool and share income, often there is a cottage industry new members can plug into (this is not the case with Compersia in DC, Cotyledon in NYC or Cambia in Louisa however). It is much easier to build and sustain communities which are not communes and not income sharing, largely because it is easier to find people who are willing to join.
Wow, I wish I found HN when it launched. I can't begin to describe how much it has shaped my life, my outlook and my career in the few years I've been (mostly) lurking here.

Thank you Paul and everyone else involved.

Thank you fellow HNers <3
If I were writing the press release I’d definitely include at least one sentence describing what the conspirators dastardly plan was!

From the PR it’s not even clear that an expert was knowingly involved in the plot.
As I mention in another thread, it is a matter of what kind of systems level work you mean, given its successful use in embedded platforms, namely military, office devices, manufacturing automation and IoT.

Kotlin and Scala have Sum types, and Rust still needs to catch up with Scala's type system.

The owners of Java only sue reimplementors that don't respect licenses, like Microsoft and Google.

None of other commercial third parties has had any issue with Java owners.

https://en.wikipedia.org/wiki/List_of_Java_virtual_machines#...

Naturally I am not advocating for you to use Java instead of Rust, rather that it also has its uses in system work, and it is a valid option in scenarios where having a GC enabled language isn't a problem.
Maybe we should apply a little conditional probability instead of a basic average?

Given that we were in a bear market.

Given that we were in a bull market.

I’m sure we can come up with other conditions.

A simple average is usually meaningless, and puts nothing in perspective.
Show HN: You Don’t Need GraphQL
[Poll] Do you think the market will end ⇧ or ⇩ tomorrow?
That way when a vulnerability is found in your control plane, there's no one to issue a bulletin, so no problem!
Lightbulbs produce light and waste. Bitcoin produces block security and waste. It varies the amount of waste it produces with the value that's being secured, and in practice that just means it produces more waste when there's more value. That the amount is adjusted according to market demand does not matter, because the market is not interested in minimizing waste, it is interested in maximizing value.

My metaphor was intended to show you that with innovation we might find better alternatives that have similar or better value, at lower cost. It could be that we can get the same or similar security Bitcoin offers, but without the cost of the enormous energy expenditure.
What does Amazon do? A guide to understanding the e-commerce giant
Show HN: Nerdcore minus the cringe. A (true) rap song about time estimations
It probably depends greatly on what you are doing. There is a lot of work where I would be much more productive in Go because I have yet to really master Rust, as it is a big and complex language while Go is so simple. But I have also made a library where the various meta-programming features in Rust saved me thousands of hours of work and ongoing maintenance compared to what it would have taken to recreate it in Go.

Similarly, the productivity difference will depend on how much run-time performance you need. It might be take longer to make Go code very fast if you need very fast. Having to work around the garbage collector, and avoiding interface {} etc.
This could be a powerful technique for emitting formal specifications for model checking and have some confidence the state machines are all in sync
> race here is an an unwitting proxy to income, so disaggregate by household per capita income

Poor white students do better academically than well off black students. So splitting by race is more informative when discussing academic performance.
A local bon-ton had just done something similar. i'm not sure if they were bankrupt, but the store went out of business at the mall and EVERYTHING was being sold for cheap. We got a $90 coffee table (reduced already) for $6 after they took off like 90% and some other discount for that day.
Easy State is a minimalistic transparent Proxy based React stage management library with a stronger focus on practicality than code beauty. V6 added sync render batching for common task sources to improve performance.
"Programmer" used to be the title that goes with using a keypunch to turn a flowchart into a deck to submit to the operator. That job had low status because it sucked, for the same reason that spending all day typing someone else's words sucked. Eventually we could afford to automate that job away. "Systems analyst" and "programmer/analyst" are the titles for independent design work we should be comparing to today's developers.
Demonstration of how to create a GraphQL-like API using REST.
Most of the world? Not in any official sense.
Airlines May Adopt VR Headsets to Walk Passengers Through Emergency Instructions
The average age (for adults) at Twin Oaks is about 45. At Acorn it is about 35. I have not been to East Wind for a long time, but it is likely somewhere between these two ages.
"Disaggregation" doesn't mean taking them out--the ranking includes everyone:

> Think about that: White students do better in Texas than in Iowa. Black students do better in Texas. Hispanic students do better in Texas. Asian students do better in Texas. Given these facts, it is absurd for U.S. News to rank Iowa higher than Texas in terms of educational performance.

This, of course, makes sense. Students from disadvantaged backgrounds face unique challenges. Under the traditional methodology, states can do a crappy job of educating these students so long as they have few of them. States that have large populations of disadvantaged students, by contrast, are penalized in the rankings even if they do a relatively better job educating those students.
Education depends on population, their average IQ and their learning culture, everybody knows it and that's why the main consideration when people with kids buy a house is the population around it. No money or learning methods or good teachers is going to change this basic truth. It doesn't matter in which state you live, what matters is how much money you got to get to the right neighbourhood or the right private school.
Take care when using render in Rails
The problem is you cant feed the ML algorithm training data based on what your company currently looks like, you have to feed it an idealized set of what you want it to look like. It almost needs to be fictitious training data to hide the ugly bias that's already built in.

I don't think this will ever work. There is too much variability in resume wording that correlates to gender and even culture of origin even when you take out names and any other protected class identifying markers. The Dutch tried this and ended up with less diversity.

I'm going to go out on a limb and say you almost want to leave all that identifying data in, but put each candidate into buckets with separate rating algorithms trained against only that "type" of candidate. The top candidates from each culture, and the top candidates from each gender, etc etc, however you want to do it. Feed them into a picking algorithm that builds a composite of what you want your team to look like diversity wise based on the top candidates from each bucket, and go from there.

Don't take my opinion seriously, I'm not an ML guy.
I don’t think a single one of your examples have resulted in the loss of jobs from those areas. If anything it’s the opposite.
This is more common than you expect, a friend's company recently suffered a Business Email Compromise where their clientele were emailed and sent invoices to the hackers' bank accounts instead of the actual company's bank account.

Email is definitely a unsafe way to send messages.
Self-dealing? It pretty much looks like asset laundering to get the assets free of the debt.
Software engineering seems safe, if that is what you are primarily thinking of in your question. Developing software at the same level of a skilled engineer is a problem we'd only be able to solve with general AI. Even if program synthesizers (things that take declarative high level requirements and produce code) worked (and they don't at the level required for an non-technical user to use), most engineers today must be involved in the design process, and finding requirements and formulating solutions is a skill that requires humanistic and non-technical intuition.
If you have trouble to connect to github.com how you're going to "git clone https://github.com/[xxx]"?
There's an argument to be made that it was irresponsible for the SEC to wait this long to clarify their position on enforcement. My guess is they want to deflate this nonsense slowly instead of pop it. It metastasized into a somewhat 'too big to fail' situation before they had time to react properly.
AI and the robot uprising: why isn't the world more prepared?
Except UBI is something we can actually implement if we want to do so.
> cognitive insufficiency

You sure made your point insulting me... Congratulations, following the values of decency and of HN to the letter. You’re definitely perfectly qualified to serve in the court of public opinion.

I completely understand your position. I simply consider it wrong and you brought no argument to support it besides “some random people on the internet agree with me”. This is everything suporting your position at this point. To support my position I have the law and an overwhelming consensus that stealing to line your pockets is wrong.

You have an opinion and an internet connection. And you won’t let something as insignificant as it being illegal stop you from strongly supporting it (insults included).

You will slowly realize why the court of public opinion is worthless when it comes to a moral judgement. Yes, great for a media circus and anonymous pearls of wisdom. Not so great for any judgement of value.
It doesn't need to be IQ-based. I'm dubious about any sort of "genetic" argument for why some fields are dominated by men, and others by women. The shift in programming from primarily women to primarily men is evidence for that, imho - if the leanings are genetic, why a change over the course of one or two generations?
Why? Just follow the law. You can easily launch a Reg D 506(c) offering.
The community. There’s a whole lot of sexism. Overall it feels like all the part of the tech industry that make me feel skeeved out to work in it. When people try to speak up about it they get downvoted, flagged, and/or chided for off-topic discussions about it get shut down as off topic or not following the rules.

It’s hard to escape the feeling that it’s a community of almost all wealthy/privileged cis men.
Speaking purely hypothetically, there are three possibilities:

1. I resigned without negotiating a constructive separation.

2. I resigned but with a constructive separation leveraged by legal and other (e.g., public relations) risks inherent in (1) and (3), but about which I cannot talk.

3. I was fired under color of resignation, but I for some reason did not pursue legal action under CA Labor Law (1101,1102).

Hope this helps! Probably not, but it should put a stake through any false dilemma (binary exclusive/exhaustive choice).
My guess would be ⇧. Large, precipitous drops /tend/ to be followed by moderate rises (from what I've seen, YMMV ¯\_(ツ)_/¯)