skysight-inc/HackerNews huggingface dataset:
Brittle and opaque are real problems. The brittleness seems to be associated with systems which put decision surfaces too close to points in some dimension. That's what makes strange classifier errors possible.[1] (This is also why using raw machine learning for automatic driving is a terrible idea. It will do well, until it does something totally wrong for no clear reason.)

Opacity comes from what you get after training - a big matrix of weights. Now what? "Deep Dream" was an attempt to visualize what a neural net used for image classification was doing, by generating high-scoring images from the net. That helped some. Not enough.

The ceiling for machine learning may be in sight, though. Each generation of AI goes through this. There's a new big idea, it works on some problems, enthusiasts are saying "strong AI real soon now", and then it hits a ceiling. We've been through that with search, the General Problem Solver, perceptrons, hill-climbing, and expert systems. Each hit a ceiling after a few years. (I went through Stanford just as the expert system boom hit its rather low ceiling. Not a happy time there.)

The difference this time is that machine learning works well enough to power major industries. So AI now has products, people, and money. The previous generations of AI never got beyond a few small research groups in and around major universities. With more people working on it, the time to the next big idea should be shorter.

[1] https://blog.openai.com/adversarial-example-research/
I first learned about C. elegans neuron-mapping project from this Society of Mind video:

https://www.youtube.com/watch?v=6Px0livk6m8

My immediate interest was in seeing the differences and similarities between real and simulated worm. I haven't spent much time searching for resulting papers, but it's been 7 years since then and I'm not aware of any ground-breaking publications on the subject.

Unless I'm missing something massive, describing this paper as training the worm to "balance a pole at the tip of its tail" is highly misleading.

In this paper researchers use an external algorithm to tweak parameters of a part of worm's neural model until that part can perform a certain task. The neural circuit effectively serves as a controller for a mechanism that has nothing to do with the original worm. The task, the setup, the subset of the model and the training algorithms are all chosen by the researchers.
Its totally in keeping with the revenge is more important than results mindset.
If you’re in it for the two-week thing rather than the long term, “learn you a Haskell for great good” is a good choice. Not terribly informative if your goal is writing large applications, but pretty good introduction to the mindset that goes with writing haskell
I've tried messing around with haskell a few times, but the biggest problem I have is the tooling.

I just tried to get haskell set up a few days ago and I couldn't get it working with either vscode or Idea. I also couldn't get ihaskell (jupyter notebook) installed successfully.

I might give it another shot based on these instructions, but the fact that pretty much every program seems to make different assumptions about whether you're using cabal or stack and how you have them set up is really annoying. I assume if you are really knowledgeable about this tools it's not that bad, but as a haskell beginner they are completely impenetrable. (Even just the yaml files used by stack seem completely incomprehensible compared to the formats used by most languages' build tools.)

Considering that the language itself has a pretty steep learning curve, it's really frustrating wasting several hours just trying to get the haskell environment set up without success and not even getting the point of being able to try to actually use it.

I've had a pretty bad opinion of the Ocaml and F# tooling in the past, but the haskell tooling is just so, so much worse. (F# seems to have gotten to a point where the tooling if you can just use .net core, although it gets horrible again if you then need to also use mono at the same time so you can use the interpreter.)

It's especially bad if you compare it to something like rust where cargo works so well it's actually in itself a reason to use rust.
I think my very first C program was a vga graphics demo. I used Borland Turbo C, and this was probably 1989 or so. I was transitioning from a mix of Turbo Pascal and 80x86 assembler, and had fallen in love with Borland's whole toolset from the IDE to Turbo Debugger, which was a revelation for me. And I'll note that this was back when the only way to get a copy of these tools was to go to Egghead or another software retailer and drop $100+.
Is your house more sealed than a typical new home? I live in a new home with an HRV system (all new homes here have them), but I always assumed they were required for issues related to condensation and humidity, not oxygen levels.
Which takes us back to my first question: "If it's so simple, then why isn't it more common?"
Interestingly enough, me and that very same friend from my prior comment also joked around with this idea. We never implemented it however, after I vaguely remember reading about a POC in some article from an engineering journal...
I once read that Brian Eno did an experiment about this. He recorded something like 30min of outside noise in order to see if he could learn "how it goes," just like you learn how a piece of music goes. "Wind rustle, dog barks, more wind, a horn honk, then the garbage truck goes by and a bottle falls out and breaks," etc. It was a successful experiment.
OP said "population level gender differences might better explain Google's hiring pipeline". Men may be the majority of Google employees, but they clearly aren't the majority of the population. That suggests there is discrimination somewhere, either in Google's hiring approach or in wider society (it's unlikely that there is some innate difference between men and woman that would account for such a disparity).
Emacs now has C extension support, which might be helpful in fast interactions with external tools too.
I read some of it.

This is a good part: The Click Heard Round the World.

It's in Chapter 4: Out to the Field (of the PDF of the book).
Wrote an in-memory compiler
Reposting from a previous thread:

I have not had a chance to try it out for myself yet, but I have recently learned that webkit includes a direct-to-opengl renderer such that one can skip the Qt or GTK backend and write HTML/CSS/JS that outputs to the framebuffer directly.
Maven enforcer is a good idea for sure, but as I recall it just notifies you of a version issue, and allows you to explicitly select one or the other.

Sadly, these breaking changes can be mutually exclusive: e.g. a method was renamed that A & B both use, so no matter which version you pick something fails.

I remember once having to do a binary search through versions of Guava to find one between 15 and 18 that happened to be the one that was "just right".
It takes a while for the Haskell community to reach consensus. Stack is definitely recommended by almost everyone for both beginners and production projects. It is used on every project I’ve run in to lately. Sure there are different ways to configure it, but these days there’s really one way to get started. Just download stack, make a new project, and start coding
> Or in other words, the fact that one person can be twice as fast as another person in the 100m dash does not make it meaningful to say that one person is twice as athletic as another.

It does make it meaningful to say they are twice as fast, though. Which provides a basis for discussing improvements to the general factor. Since there are meaningful zeroes for speed or flexibility or throw distance, it must also be meaningful to discuss doubling the effect of fitness on them. Whether it works out in practice is the question, but it is meaningful and not nonsense.
> For example, Open-World games need their own.

Bethesda games, generally open world, use an engine (https://en.wikipedia.org/wiki/Gamebryo for older games and https://en.wikipedia.org/wiki/Creation_Engine for most recent), they certainly don't go reimplementing it.

> Or military games like Call of Duty have their own.

No, they used the id engine and improved it over time.

> Also most bigger publishers breed their own engines to save the fees for licencing a third party engine.

Like ? for instance Bioware (as part of EA) uses Unreal engine. You mentioned FIFA games: they also use engines shared across a huge swath of games: https://en.wikipedia.org/wiki/Ignite_(game_engine) and https://en.wikipedia.org/wiki/Frostbite_(game_engine)

The only big release I know not using an engine shared across multiple game series is the recent Witcher games engine.
Even if you lump all the european people together, the fact remains that Stockholm is probably 80% European and New York City is less than 30% European.
If I wanted to install pip, I'd install virtualenv. (I'd use apt to install virtualenv, sure, but using apt to install pip will eventually turn out to be a mistake.)
To verify if this is the case, you should compare incarceration rate and crime rate with otherwise similar countries.
As a small criticism, looking at the project page I get no clue whether this library works on Microsoft Windows.
I'll see if I can't send something over in a PR or Issue :) I'll have to make sure it's a clean-room implementation, however, to get around legal issues.
I think recent events (thanks in no small part to susceptibility to "fake news") have shown that the "radically skewed and biased narrative" of what many call the Washington consensus is far preferable to letting the Breitbarts of the world get away with their actual lies.

Just because a narrative is biased and skewed doesn't disqualify it from being better than other narratives.
Just like rooting/reinstalling your phone, it's important to set it up properly right after you buy it - no excuses of trying out their gimmicky crapware, figuring it out later, etc. This way, you're well within the return window and won't be stuck with defective merchandise.
How many folks? Which area?
It's about time to buy a switch or two :)
Create a TensorFlow Constant Tensor Populated with a Scalar Value
If you want to try out Quiet's audible profile, you can imagine that ultrasonic is the same volume, but pitch shifted up. Making modems louder doesn't help transmission anyway, so it's pointless to do so.

https://quiet.github.io/quiet-js
Shouting at, or ignoring, children is also (emotionally) abusive. Should we lock up parents who ever act in one of those ways towards their children?

Also, what about when children hit their siblings, or their parents, or their class mates? I don't think that locking these children up is conducive to their welfare either.
Yea, Motorola was not making like 100 million phones in a quarter that had the complexity iphones do.. the actual crazy thing that I can vouch for is that apple actually has a ludicrous amount of people at many factories that feed into Foxconn that are actually dedicated factories for apple.. each of the sub components such as display, cover lens, metal frame, speakers, batteries, PCB, sensors, and all of the ICs.. it’s truly insane the qty of people and machines in that supply chain.. would not be surprised if it is 10 million people.. plus lots of machines and factories...
I was actually trying hard to get my God character to fairly represent the compatibilist position, though this was a real challenge for me because I personally believe that compatibilism is self-contradictory. If I didn't get it right, all I can say is I gave it my best shot.
Algeria could ban foreign e-commerce operators
ihaskell is a somewhat fragile project briding several disparate ecosystems/languages. I'm not really sure the value-add is there yet; in any case it is not a tool for beginners or the preferred method to get feedback from your programs.

Haskell proper is pretty turn-key these days with stack.

Stay away from edgelord / niche projects.

Stay away from most of the IDE tooling, including ghc-mod. You don't need to be fighting the tooling when starting. The repl and "ghcid" should be all you need (though I grant it takes some learning to use these as effectively if you're used to an IDE- you will learn with experience).

Just use the "ghcid" cli tool to get compile errors and feedback. It is rock solid.

https://github.com/ndmitchell/ghcid

Your experience will be much smoother.

It takes a bit getting used to if you're used to an IDE, but with Haskell it's usually a better to go for a multi-terminal/repl kind of setup
Should a toggle button show its current state or the state it will change to?
A Minimal Rust Kernel
> As for the mortality issue, the oldest IVF baby is currently something like 38.

My point is that a congenital heart defect is something that should strike early, especially in childhood (and that's one of the usual ways to find out about it, kids dropping dead for no good reason, like after being lightly hit in a football game). If a doubling of defects can be detected, so too should a doubling of heart-related mortality. There's on the order of a million IVF kids annually in the USA alone; it's not possible for that to have gone unnoticed. So either their risk is the same as their non-IVF peers and such defects are just common among older mothers, or the defects are not actually serious (pace studies showing that things like cancers or spinal anomalies are common among healthy people, or, more IVF related, that many embryos discarded for chromosomal abnormalities turn out, when implanted, to work perfectly fine because the abnormal cells die or the embryo otherwise recovers during development).
The last two bother me especially. Only thing I can think of is that bodies are expendable and for police that means good second skins, they get first or second dibs. No need for cyborg parts when blasters kick so much butt.

The stack backup reasoning is lame, "too expensive" is not really defining, and if a stack can be transferred to another stack, having two with one in a strongbox seems logical. You possibly lose memories then, but live on. It seems to come down mostly to money and socioeconomic disparity. At one point someone says, fixing a broken leg is too expensive. That's ridiculous
IMHO the title should include "In Sweden..."
From a purely scientific point of view (since that is what you are espousing), you can't make the comment you just did without proving that without the threat of jail time this subset of the population would not be committing even more crimes even more often.

Additionally, speaking as someone that agrees with the scientific premise of your argument, any alternative would be a trade-off, i.e. the percentage of the population that are not committing crimes at all would need to remain sufficiently deterred, which may change when the deterrent does.
My guess is they likely know and that it's tied to business applications that still rely on older software/hardware. Vendor agreements, etc. - just a theory.

It's super impressive.
And yet, any professional musician will claim that practice is an essential part of the craft, required for learning difficult sections and tightening up loose licks. I wonder why these two viewpoints come to such opposite conclusions.
Passion fails
Ron missed a really good opportunity to throw in a Watchmen-style ending with the switch.

Also, with respect to the Pharaoh, it's interesting because he hardens his own heart the first few times.
Chrome Documentation
Allcancode: from a coding game to a tool that simplifies software production
Cartpole solved with 1 neuron, no weights.

https://gym.openai.com/evaluations/eval_A7rFUDisQiOsADyvqYhV...
Their tech stack faq (https://tableplus.io/faq) mentions "go for server side"

Can someone confirm what this is related to? Surely this app isnt sending all connections via some server(farm) the developers control?
I get that Stack is what people should be using now but it's still not that helpful if I can't actually get actual instructions for setting up vscode, etc. based on using stack without "stack install."

The fact that haskell users seem to think these things are completely obvious and doesn't need to be explained is frankly a big part of the problem.
I don't think comparisons to "other affluent countries" are apt; the socioeconomic and cultural makeup of the United States is so starkly different from pretty much any other country (even our immediate neighbors to the north and south).

In particular, the institution of slavery and perhaps even more so, the culture of segregation, condescension, and disdain that followed from The Reconstruction onwards resulted in such drastic dehumanization, disenfranchisement, and demoralization of a huge percentage of the population that has not been seen anywhere else in the world.

No solution can be drafted that does not address this ugly stain on our history (continuing to the present) and still ever hope to work, and whitewashing history books and tiptoeing around this elephant in the room in the name of political correctness does us all a disservice.
This is a blog post telling the story of Allcancode that started with a coding game featured in code.org and played by millions of kids around the world and then transformed to a tool provider that streamlines software development.
Why's it a waste? Low latency traders facilitate risk transfer in thousands of instruments at razor thin margins using automation. They keep prices efficient through arbitrage or predictive modeling. Even during extreme market stress I can trade SPY in my brokerage account within a penny of its true value. If the S&P 500 index futures or the S&P 500 stocks move, someone will update the price of SPY instantaneously.

You want them competing with each other. To win they have to make the tightest price before a competitor, which either lowers their margins or requires them to bring new information to the market sooner.

If you accept that markets require intermediaries to bridge liquidity gaps in time, place, and product, then high speed traders are far less wasteful than the firms they replaced. Consider this: In 2000 Goldman Sachs bought Spear, Leeds & Kellogg (SLK), a large NYSE dealer. SLK employed 2500 people and earned over a billion dollars annually. That's one firm on one exchange. Each market had thousands of men in jackets yelling at each other, making a much bigger spread on transactions, and giving less accurate pricing.

Today there are a couple thousand people involved in low latency trading across all markets/firms and the entire industry makes a few billion dollars a year. Teams with a handful of quant researchers make markets in every listed stock globally.
Love that he does it in shorts with a formal shirt up top.
The All New London Black Cab – The Electric TX
> And yet, any professional musician will claim that practice is an essential part of the craft, required for learning difficult sections and tightening up loose licks.

It absolutely is. Practice is necessary but not sufficient for high-level musical performance. The study talks about musical ability in terms of rhythm, melody, and pitch discrimination -- mental skills around music -- and finds that these are not changed with practice. These two statements are not in conflict.
Apple Watch faces: still ugly after 3 years
Understanding the Linux Virtual Memory Manager [pdf]
The XIV is (was) meant to track the daily inverse of (roughly) the same underlying index as VXX. So a 10% up day for the index should be 10% up for VXX and 10% down for XIV. Now we can plug in rough approximations for Monday 2/5 and Tuesday 2/6.

The underlying index was up something like 90%. So VXX up 90% and XIV down 90%. Next day the index goes down 25% so VXX down 25% XIV up 25%. The two day returns for VXX will be 1.90 * .75 = 42% up and the two day returns for XIV will be 0.10 * 1.25 = 87.5% down. You can see how the daily tracking blows out the tracking over longer terms (just 2 days in this case). Since the VIX moves had been relatively small on a day to day basis, it sort of looked like they tracked each other on inverse terms over longer periods but it was just an illusion.
There's a section that was recently added to Google News called "Fact Check" that includes links to Politifact, Snopes, and fact checking at various newspapers. It is a good idea, to provide refutations of false stories that are going around, but it is also enormously depressing. Very rarely are any of the stories the sort of thing that should have got any traction at all, since they're just idiotic, and I have never seen anyone change their approach to evaluating the news after being called out on spreading such false stories on social media. The kind of people inclined to believe that stuff just don't care, for the most part.
My house is much more sealed than a typical new home. Every crack was sprayed with foam and every sheet of OSB/decking was taped, then the house was wrapped in ridge foam panels and taped again. Then it was wrapped in house wrap. The weep holes on the windows, and front door, and the venting for the stove and bathroom are the only source of outside air. There is no attic. http://tinyhousemansion.com/

Most homes leak plenty so HRV's are mostly about recovering costs and helping with condensation and humidity since they are designed for cold weather.
but you can't argue that a modern smart phone facilitates orders of magnitude more productivity than a Palm Treo running Windows Mobile or Palm OS?
Cisco UCS Central Arbitrary Command Execution Vulnerability
True. These things are done in Travel Trailers and RV’s
How many executives and board members of companies manufacturing opiate pain killers (to give only one example) have you seen charged with manslaughter recently?
How did your static checker distinguished between API and internals? How do you even do that automatically?
That's not what Quincy Jones says.

http://www.vulture.com/2018/02/quincy-jones-in-conversation....

David Marchese: You’re talking about business not music, but, and I mean this respectfully, don’t some of your thoughts about music fall under the category of “back in my day”?

Quincy Jones: Musical principles exist, man. Musicians today can’t go all the way with the music because they haven’t done their homework with the left brain. Music is emotion and science. You don’t have to practice emotion because that comes naturally. Technique is different. If you can’t get your finger between three and four and seven and eight on a piano, you can’t play. You can only get so far without technique. People limit themselves musically, man. Do these musicians know tango? Macumba? Yoruba music? Samba? Bossa nova? Salsa? Cha-cha?
You're probably around the same age as me then.

I wouldn't expect you to be familiar with it unless you've actually worked in the academia doing research quantum information. This isn't stuff we teach in class at all, even to PhD students, it's a part of research.

It'll also probably read like "from a markov-chain-based paper generator" to you too, but if you're interested about how actual noise behaves, you can read this for example: https://www.nature.com/articles/nphys1994 (arxiv link if you don't have access: https://arxiv.org/abs/1101.4707)

While it's about flux qubits, the 1/f behavior is almost universal in all current promising candidates, and DD virtually works in all quantum computers.
German electricity prices are very high, almost $0.37 per kWh.

http://ec.europa.eu/eurostat/statistics-explained/index.php/...