skysight-inc/HackerNews huggingface dataset:
> Someone forked GLIBC and ripped a bunch of stuff out and you're taking that as a good sign GLIBC was intended for embedded use? What?

If that were what happened, then you'd have an argument, but eglibc contained more than glibc did (the primary motivator was that glibc refused to support architectures that the maintainer didn't like; they also had patches to support compiling things out, but that's more source code and certainly isn't ripping anything out). If you don't know this history I have trouble taking the rest of your argument seriously.
I'm serious. Men tend not to see doctors, and when they do, it's usually taken seriously. That leads to interventions which can have significant risks. Medical errors are behind only heart disease and cancer and ahead of all respiratory disease, as a leading cause of death in the US, according to John Hopkins.

"10 percent of all U.S. deaths are now due to medical error."

https://www.hopkinsmedicine.org/news/media/releases/study_su...
Astrobotic awarded $79.5M Nasa contract to deliver payloads to the moon
The article reasons that you should use the syntax that makes it safest to enter and later change that table you need.
Too large a chunk of my life was burnt the ETL from hell.
Other than SQL, I can't see any other tool that would have helped.

I found the easiest way was just dump tables of data into long varchars - even the supposedly numeric stuff, because often enough it wasn't - then scrub & filter it from there. (NB, if you take anything from this post, make it that).

There were multiple challenges, but one that was most painful was the sheer filth mixed into the data. Too often even a human couldn't work out what the heck was supposed to be in some field. Often we could, but it ate a lot of time.

It doesn't sound like you ETLs are anything like mine; you start with pretty clean data. You are lucky.
SaaS has been around since the 1960s
Wadler's version of Greenspun's 10th law?
Huh, I think you meant to say "Asbestos cause cancer". It'd be really interesting if some news articles claimed asbestos prevents cancer.
Things you didn’t know about the Secret life of nuns
iPhones usually get software support for at least two years since the last possible date you could buy them. Usually this means 4-5 years if you buy on launch day.
I'm always startled to find out that people with very young kids have these in their house. Presumably there's some way from preventing a 3 year old from running up a $50k bill?
> It is naive to think the belief in this skewed, biased, self-referencing, curated group is representative.

So ..Google is bad, people that use it are misinformed and manipulated into using it, and the Hacker News crowd is a "skewed, biased, self-referencing, curated group" that is not able to form an educated opinion about a search engine.

Again, what world do you live in ?
That is, given that humans eventually die.
Really? One thing that is starkly contrasted today vs. even 10 years ago.

People used to be able to listen, understand, empathise and compromise with those that they don't agree with. Showing a due amount of respect for people. This has been sorely lost with the tail end of the Millennial generation, and it shouldn't be surprising that nothing of value is being accomplished at all imho.

I may not agree with all politicians, but there are some I feel that I genuinely respect. Those who lean on identitarian tribalism are not in the list.
I wouldn’t say it’s entirely obvious. I think the argument goes that illegal immigrants take jobs and thus displace legal residents, making them homeless.

I find this implausible in SF. Housing is so insanely expensive that, even if illegal immigrants displace legal residents 1:1 and the legal residents can’t find any other work at all, the jobs in question wouldn’t pay living wages in SF regardless.

(To me, it seems that the US economy is actually rather dependent on illegal immigrants and there would be a crash if we somehow managed to deport all illegal immigrants. A genuinely good immigration reform would need to take this into account.)
Real socialists very much distinguish themselves from liberals. If the labeling seems inconsistent, it's likely because the spectrum of American politics is so narrow the two get collapsed into each other. Socialist politics have been in a state of almost total collapse over the past 50 years, and most Americans are unfamiliar with its main tenets.

Having spent a bit of time trying to understand this band of the spectrum, here's my very rough mental model. Regarding economics, you can think of the left continuum as moving roughly from liberal -> progressive -> social democrat -> socialist -> communist.

* Liberals pretty much favor what you might call free markets, with some regulations against the worst excesses (pollution, fraud, etc).

* Progressives tend to favor a more Keynesian approach, with the government stepping in to try and tone down the amplitude of the boom/bust cycle, pursuing aggressive antitrust action, etc (think Elizabeth Warren).

* Social Democrats believe that capitalism fundamentally produces inequality, but also wealth, so to maintain social cohesion, markets have to be balanced with a strong welfare state, or safety nets (Sanders circa present day probably fits here).

* Socialists believe that capitalism is an inherently exploitative distribution of _ownership_ where an elite social class owns most of the necessities like housing, hospitals, factories, etc.[1] Socialists believe that that ownership is the result of workers being forced into a bad deal: having to sell their labor in exchange for access to those necessities, and that the remedy is for those workers to unite to wrest those necessities back from the owning class.

* Communists accept the same principles as socialists, but believe that the end goal for politics should be a society where all resources are collectively owned and distributed on the basis of need. Authoritarian communists believe that a strong centralized government is needed to make this happen (think Stalin or Mao), and that once the redistribution happens, that government will fade out of necessity. On the other hand, libertarian communists (also known as anarchists) believe that centralizing state power will only reproduce the exploitation of a capitalism under different owners.

[1] Not all socialists oppose markets, some think they're great, but that individual firms should be collectively owned by their employees, rather than external shareholders.
I agree. I think the FAA failed in it's mission also.
I don't think you're being fair here. He's just sharing lore he had to become familiar with during his graduate school years. Such stories are part of the experience.

BTW he's written a fine summary of the history of particle physics during those years, which is rare indeed, because you have to be an insider to care about such things and then have the opportunities to get them straight. He's a theoretical particle physicist talking about his profession after all, even though he's been busy with other stuff for many years. Of course he can write this.

Folks here should really read the article. I just can't tell anything about the personal anecdotes, but everything else is spot on.
You write very confidently, but don’t seem to have a good grasp of this topic, so I’ll give you a few pointers.

First, don’t use yearly growth rates when discussing long-term trends. The data is too noisy. Ten year averages should be your minimum for the topic at hand.

Second, GDP is not a useful way to detect the ways in which former colonies are crippled. There are several reasons, but just to name a few: it does not distinguish raw materials from refined goods and advanced industries (why do you think Lybia is on top of your list?); it does not reflect quality of life or security; it does not reflect independence from foreign interests; it does not reflect military power or the ability to influence global and regional affairs. There isn’t a single metric which neatly reflects every dimension of the problem (I never claimed there was), but as a starting point for further research, I recommend studying the UN’s IHDI report. You can find lists of countries sorted by IHDI. Another good thing to do is study the bottom third of pretty much any sorted list of countries - by IHDI, HDI, any variation of GDP or GDP growth - and ask yourself 1) “why are these countries in the bottom?” and 2) “how likely are these countries to be in the top third in 50 years?”.

Third, study the role of Trans-National Corporations in the world economy. How much do they contribute to the economic output of former colonies? To what extent are they headquartered in former colonial powers? To what extent are their profits, and capital gains realized by their shareholders, reinvested in former colonies vs. colonial powers? Can you spot a compounding effect?

Fourth, for a different take on the problem, study the racial wealth gap in the US, Canada and Australia. Study the development state of indigenous nations within those countries. Can you guess the root cause of this state of affairs? Can you spot a compounding effect?

Lastly, quoting from your favorite self-help book doesn’t make you magically smarter or more convincing, just obnoxious.

I hope these pointers will help you in your quest for “factfulness”.
A Tiling Desktop Environment
I love this. Building a small wind turbine from as scratch as possible has been a fantasy project of mine for years.
I am not sure how much we can read into it because they are the ones who are already bought in to that ecosystem.

Even I was a happy WP user and but I can't be sure how much of my satisfaction was out of choice-supportive bias.
What excites me about this and similar work (e.g. https://arxiv.org/abs/1904.12584) is that it augurs well for a new era of AI in which we combine the strength of deep learning (specifically, the teaching signal provided by automatic differentiation) and symbolic GOFAI (with its appeal to interpretability and traditional engineering principles).

Of course we need to keep the gradients, architecture search, hyperparameter tuning, scalable training to massive datasets, etc., but there is a growing sense that the programs we write can encode extremely powerful priors about how the world works, and to not encode those priors leaves our learning algorithms subject to attacks, bugs, poor sample efficiency, bad generalization, weak transfer. Not to mention a host of rickety conclusions that are probably poisoned by hyperparameter hacking.

Conversely, we need to try to avoid the proliferation of black box systems that require heroic efforts of mathematical analysis to understand and debug. Take for example the highly sophisticated activation atlas work by Shan Carter and others, which was needed to reveal that many convnets are vulnerable to an almost childlike kind of juxtapositional reasoning (snorkler + fire engine = scuba diver). Beautiful work, but to me it would be better if that form of analysis wasn't necessary in the first place, because the nets themselves were incapable of reasoning about object identity using distant context.

We need systems that are, by design, amenable to rigorous and lucid scientific analysis, that are debuggable, that admit simple causal models of their behavior, that are provably safe in various contexts, that can be straightforwardly interrogated to explain their poor or good performance, that suggest modification and elaboration and improvement other than adding more neurons. We need to speed the maturation of modern deep learning out of the alchemical phase into something more like aeronautical engineering.

The major innovations in recent years have been along these lines, of course. Attention is a great example, basically supplanting RNNs for a lot of sequence modelling. Convolutions themselves are probably the ur-example, of course. Graph convolutions will be the next major tool to be pushed into wider use. To the interested observer the stream of innovations seems not to end. But the framing that makes this all very natural is precisely that of this being the union of computer programming, where coming up with new algorithms for bespoke tasks is commonplace, with automatic differentiation, which allows those algorithm to learn.

What remains exciting virgin territory is how we best we put these new beasts into the harness of reliable AI engineering. That is in its infancy, because how you write and debug a learning program is completely different to the ordinary sort... there are probably 10x and 100x productivity gains to be realized there from relatively simple ideas.
In the US there certainly are regulations on that!

https://jorgefontan.com/micro-apartments-minimum-apartment-s...

https://www.sfgate.com/bayarea/article/S-F-supervisors-back-...

https://la.curbed.com/2019/3/27/18281150/santa-monica-micro-...
The hardware isn't faulty. The problem is the way Boeing tried to achieve a zero training delta so pilots wouldn't have to get a second type rating.
Its said often that our ability to learn, but not unlearn, encapsulates most human progress as well as defeat, both at a personal and global level.
I completely agree. Social media makes it easy to quantify and measure your feelings, views, jokes, etc. The ability to measure how people interpret your posts allow you the opportunity to optimize them.
Not that I like either party particularly much (and I might even hate the democrats more for being supposedly aligned with my views, but mostly seemingly into disagreeing with each other No True Scotsman style), but even as a straight dude, the Democrats are unambiguously better than the republicans on gay rights IMO.

What is funny (at least to me) though is the huge peak in activity on Grindr during republican conventions. To be fair, the republicans as a group are way better on nuclear power despite denying climate change.

https://www.vice.com/en_us/article/9aeen8/cleveland-was-bomb...
Hi, one of the developers here, yes, we spent a lot of time to make sure that writing a VI style keybinding system (and properly) without all of the EVIL compromises would be possible
I have N9 as well, still working ;-) Not a primary phone though, that is a Jolla one, with some iPhone, Android and WP10 in the mix...
> consequence of a chain of incremental changes

> As to bad faith, yes, I'm sure there was some of that

You're downplaying this. This is not downplayable, and this is not similar to Therac. "A consequence of incremental changes" is a rather gross way to paint this, as if it's hard for a single guy to see how e.g. non-redundant sensors is an extremely bad idea on its own, let alone everything else. There have been multiple huge missteps, not made by accident, each of which is individually worth a huge red flags obvious to people in different areas. That 1 single mistake wasn't enough to bring the plane down doesn't mean the mistakes must've been small or somehow downplayable. And no, this isn't some kind of gray area with people getting genuinely swamped by technical details. It's abundantly clear here's been a ton of bad faith here, that there is still ongoing bad faith even after the fact, and that they're still unwilling to address the problem properly.
Looked up Vancouver ion Google Maps. Looks like mostly single houses. That needs to go if you want low house prices.
I am not a big fan for the term ELT

Just because you are using a database as your work space
doesnt mean you Load your data before transformation

Most complex dw, have multiple layers of transformation, and several workspaces along the way

There is always a final step where you load the clean data, into your clean schema, used for querying the data

ETL

Extract = Fetch the data you want
T = Make all necessary change
L = Create a clean copy
Yes, such second order effects are important and often overlooked. One thing is to confirm that the recent buyer's decision was right.

But also, these ads create a general impression of high quality for a brand, and for this to be effective, everyone needs to know about this. Status symbols can only be status symbols if they are recognized by both the people who can and cannot afford it.

Therefore ads of luxury items viewed by people who will never buy it is still valuable to the company because they set the stage for the status associated with the brand.

This is a second order effect of crucial importance that people often overlook when only looking at first order effects.
Alexa purchasing can be configured with a voice PIN.

I believe purchasing by voice does have to be enabled initially through the app as well. https://www.amazon.com/gp/help/customer/display.html?nodeId=...

Edit: I looked in my Alexa app and there is also a voice recognition option, so you can use it to only allow purchasing via recognized voice patterns and require a PIN for anything else.
What about "I worked my butt off for many years to be able to live here" is that ok?
The last time I read about localized power on HN, storage came up, esp batteries and inverters.

The majority of appliances now assume always on, very clean, 60hz (or 50 or X) power, because that's what the turbines at the power company have always made.

What assumptions would have to change for appliances and human life to fit with localized generation? (Ie off-grid living)
Casually mentions economic crisis, then they go on to say people don't move because they like their communities, and then proceed to describe the economic crisis. People would move if there was a zero percent chance that they wouldn't end up living in a van. The issue is insecurity, caused by the economic crisis.
Skepticism means positing alternative theories that explain the evidence, not coming up with less-extraordinary theories that contradict the evidence, which is what most of the threads here do.

Super intelligent AI certainly seems plausible as a thing which could exist. Fusion powered sub-light speed autonomous drones certainly seems like a thing which could exist. Any super intelligent AI would take actions to ensure it's preservation, and extraterrestrial (to it) civilizations confer x-risk.

My pet theory is that these things are real, and are a autonomous surveillance and intervention system deployed by an extraterrestrial entity or civ (AI or organic is irrelevant) to prevent an external threat in the form of a galaxy-ending weapon. They are subluminal but such a system would have galaxy-wide coverage in at worst a few tens of centuries. We will likely never know since these things are so far beyond our ability to capture or analyze, but my theory at least doesn't break physics.

The reason I like my theory is that one could imagine humanity building and deploying such a system inductively, when we have the tech and determine the largest x-risk to our civilization are external emerging civilizations developing weapons or tech which could destroy the galaxy (perhaps inadvertently, like a misplanned AI takeoff)
> a self-study, Knuth like book with answers contained in it

What book are you referring to? I guess I’m unsure if you’re talking about a book that exists or a book that should exist.
Right, but not in the same proportion as the other groups.
Hi, I am one of the developers. You seem to be mistaken, it is not a WebKit shell (we are currently working on a web engine variant). It is actually a standalone Lisp program that defines a protocol for client browser implementations. Please see the following file for more information: https://github.com/atlas-engineer/next/blob/master/ports/REA...

Eventually we would like to make our own web-renderer, but we recognize that it is a lot of work, and a bit away
i'm not familiar with the standards of reproducibility in computer science, but compared to many other disciplines, it should be trivial to release "research-quality" [+] source code or a vm/container image that allows others to more directly attempt to reproduce the results described in the paper.

This paper's section on related work calls out a recent paper by Asai

> Asai [1], whose paper was published while the present work was in progress, describes an architecture with some similarities to the PrediNet, but also some notable differences. For example, Asai’s architecture assumes an input representation in symbolic form where the objects have already been segmented. By contrast, in the present architecture, the input CNN and the PrediNet’s dot-product attention mechanism together learn what constitutes an object.

re: [1], Asai's paper: https://arxiv.org/abs/1902.08093 .

Asai has released code for earlier papers on github: "LatPlan : A domain-independent, image-based classical planner". https://github.com/guicho271828/latplan

it reads as if the code for [1] may be open-sourced in future "Asai, M.: 2019. Unsupervised Grounding of Plannable First-Order Logic Representation from Images (code not yet available) "

[+] research-quality, i.e., in whatever random state the prototype code it happens to be in, without any guarantees about it compiling, or running, or behaving correctly, having an automated test suite, or whatever. in all of these cases, it is _technically_ trivial to make it available to the wider research community
> why does what your father did have anything to do with where you should live

We can extend that argument further. Why should a human enjoy such privileges on this planet compared to a chimp just because his father was a human?
> I agree is an unimportant issue

It literally yells “Hello Moto” at you…do you not feel like this is unimportant if you wanted to say reboot your phone in a quiet place?
Perhaps in Vancouver the supply constraint is not political, although I somewhat doubt that. My impression from reading about it is that they allow relatively little high density building.

https://vancouver.ca/home-property-development/statistics-on...

From looking at this, it looks like over the last three years they've added between five and six thousand units a year. But the annual population growth during that time has been around 30k people per year. Given the average household size in Canada is south of three people, that means there have been ten thousand households added, two for each unit built.

So, to the extent that Vancouver's government is preventing the building of mid- and high-density housing, I stand by my statement. If they have done all they can to enable the building of such construction, then we must look elsewhere for our cause.
Bet responsibly? A struggle for some as sportsbook ads widen
You made the claim, so you should back it up. I can google lots of things related to LinkedIn, but whatever I may find may not be exactly what you are referencing.