skysight-inc/HackerNews huggingface dataset:
This is kind of a fun question because it places the notion of “computational” computability (classical CS) alongside that of classical computability (finding a model by, say, minimizing an error which in turn boils down to calculus or linear system solution).

Long story short, because of the power of real numbers — with each one encoding an infinite sequence of bits — it’s not clear that even “simple” computations important to elementary statistical models, like exponentiating, have low computational complexity. Computing, say, “e” can be done by a Turing machine, but it’s nontrivial.

Another observation along the same lines is that some simple statistical models turn out to really complex — like “find a such that the model

y = sin (a x)

fits sample data (x1, y1),..., where abs(y) < 1”. This simple model class is well known to have infinite VC dimension, because a can be arbitrarily large.

Another way to say it may be that Turing completeness is not a very sharp tool to separate model classes.

I found this helpful: http://www.cs.cmu.edu/~lblum/PAPERS/TuringMeetsNewton.pdf
I call bullshit, give me facts somewhere where I can read about it ( trustworthy source).

Because here in Europe, multiple countries are fine with it.
Author here: We have been working on NoCode Tooling with a team of 20 engineers since last 20 months. We are super excited to launch it & would love to hear your comments/feedback.

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c. Rule Engine
d. DB as a service
e. API engine
f. Developer Modules: Build custom functions + custom visual components
g. Market place (upcoming) - for ready apps

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Update on .NET Standard Adoption
These main roads contain the places people want to go. Anecdotally, I was one of these crazy private drivers last year. My hotel was on Friedrichstrasse. I was driving from Munich, and AVIS has a car rental location directly on Friedrichstrasse where I was returning my car: https://goo.gl/maps/HLHKsmBtdcGkE2KZ6

The maps directions routed me straight through Checkpoint Charlie and down Friedrichstrasse, and I got 10 solid minutes of being that tourist who seemingly didn't know where they were going.
I think it’s actually both important and possible to differentiate between stats and ML (and AI for that matter). Statisticians, ML engineers, and data scientists all have related but distinct skill sets, knowledge, methodological experience, and worldviews. The identification can be important because it suggests what sorts of tasks and projects an individual is well-suited for. (Notwithstanding the fact that I believe anyone can acquire skills/knowledge to be competent at any of those jobs and transition between them with a bit of effort).

For example, consider the work that the FDA does in evaluating clinical drug trial data. In this case, you need statisticians on staff that can critically analyze the statistical/methodological rigor, not to mention understand the medical domain and relevant regulations/processes. It doesn’t matter if they can only use the GUI versions of SAS and have never heard of TensorFlow, their time is better spent deeply understanding nuances of experimental design, sampling methods, causal analysis, estimation, etc. I would argue that a “good” statistician in this context might very well be “not so good” at data analysis, as long as they can clearly and accurately critique experiments and analyses and identify when things go wrong. Also consider—what would happen if you slotted a ML engineer into a role like this?

ML engineers are best at optimizing performance (not just accuracy) at some defined task, where ideally the cost of the model being wrong in some exotic way is not astronomical (e.g. approving a dangerous drug, convicting an innocent person, initiating a stock crash, corrupting the attention span of the human race). A good use case for machine learning comes from the book Pattern Recognition—sorting fish on a conveyor belt. No one gives an ounce of chum about statistical rigor in this case, and the consequences of being inaccurate are quantifiable and manageable. But building and tuning a ML system to do this at an acceptable performance level requires a ton of work. You’d need to define the sensor array / inputs, collect and label data, engineer features (more relevant before deep learning, in the case of computer vision), train and evaluate an object detection model, avoid overfitting the training data, build an anomaly detector to weed out the stray crab, ensure it works fast enough to be used in production, turbo-browse arXiv to make sure your stuff isn’t obsolete (damn, it is). This is a vastly different focus than statisticians, who wouldn’t get very far with this sort of performance-optimization problem.

Data scientists are somewhere in between a statistician and ML engineer—like a hybrid class in an RPG. They can cast a few key ML spells and have dabbled in arcane math, but can also slice up data goblins by hand (maybe even with style). With a foundation in a bit of everything, they can glue a team together and flexibly grow in multiple directions. But they can also become a waste of shiny gold if pitted against a specialized task without support from, you know, specialists.
> the resulting article was a hatchet job

Was that the forbes article linked above?

> You can’t unfuck the goat. C’est la vie.

That goat laid you golden eggs though. It takes me over 15 years to earn a $1m paycheck, and I wouldn't mind dealing with some people moaning at me for it. People always find something to complain about anyway, so I wouldn't be too concerned about it.

> The conversation about vulnerability sales has been as even handed and rational as the conversation about marijuana in the 50s.

Sure, you're right, but this is true for many new things, you're just smack in the middle of this discussion. It's good to have these discussions though, because it makes people aware that otherwise weren't. Comparable hysteria is currently happening with 'company X is listening to your conversations' and 'self driving cars might kill you to save a baby'. People in the field have been discussing the ethics of these things for a long time, but now it's becoming a public discussion. This happens when things grow.

Personally, I prefer the black/grey zero day market over back doors being proposed by some. Those would be permanent vulnerabilities, while zero days are (usually) temporary and probably only used while absolutely necessary, opposed to just eavesdropping on anybody. I also see the need, because the internet gives bad people too many places to hide.

So, from me, thanks for your services, you probably helped keep us safe from bad actors.
His Nobel was for all four equilibrium papers...
Because it's incredibly faster to process, use, replicate, distribute and earn using that data. That is what makes it scary.

Also loot boxes - imagine if Wizards of the Coast walked and gave away MTG booster packs on the street for free but told you "pay 10 cents to open it and you could get this cool stuff". Sets a completely different mental model in your head.
It does get escalated sometimes https://www.theguardian.com/society/2014/sep/24/in-court-non...
I don't know a single EU country that would set maximum prices. Can you share which one do you mean? Aren't you confusing it with insurance company tariffs (pre-determined prices for treatments etc), which are set by the insurance companies, not government? https://en.wikipedia.org/wiki/Healthcare_in_Germany
Keep in mind that bread is baked until the internal temperature is usually 205F or so. It should be extremely safe, regardless of what yeast you used.
Tiny changes to letters can have a big impact on how text blocks are perceived, fonts are utilitarian, but they're also design tools.
McConnell’s office did not state that. Search the web for “mcconnell fake quote” for info.
But if you borrowed 100 dollars at 20 interest (ie credit card) and ended up being forgiven a 1000 dollar debt - is that 100 or 1000 dollar to pay taxes on?
Predictive Dialer vs. Auto Dialer: Which Is Right for Your Business?
And this kind of comment is where the disinformation starts. Looking at history not even at climate science journals settles the argument: Earth Summit was 1992, Kyoto Protocol was 1997. Climate change already was enough of a thing to have the international community come together for treaties saying we need to mitigate and work towards saving the planet.
On price: $50/m would be IMPOSSIBLE for most people to pay. You are backing the $50/m with data viewed from inside your bubble. I'm part of several online groups and communities for people suffering from Anxiety and Depression and out of thousands and thousands of people there, both in the US and around the world, I'd say only 20% have the money to go to therapy.

Your data showing that "a lot of people are paying a lot of money" is already biased because it's based on a particular socioeconomic segment. Do you want another data POV?

"...only 70 percent [of americans] feel they have adequate access to mental health care." - https://www.apa.org/monitor/julaug04/survey

Please be mindful when making comments like these, as not all of us are as lucky and/or privileged as you are.

OP: Your pricing is fine, probably $9 "ala netflix", that is still low enough for most people. Awesome product!
YES it is 100% rude and weird imo. I was having a conversation with someone at an event, asked him a couple questions, and he only took his airpods out after a couple minutes. It felt weird and disrespectful. I told my colleagues about it and they agreed with me.
Did your comment just refer to non hackers as "standard people"?
The difference I'd point to, in aggregate, is the falsifiability of cited claims.

I can make a claim without a citation, or attribute it to "some article I read awhile ago". No one can verify my original claim. Someone may attempt to dig up another citation refuting it, or find a suspect source making my claim, but these are inefficient ways of fact checking. And if I wanted to be a dick, I could claim that wasn't what I was talking about / my original source.

I can also cite my claim. In this case, 99% may accept it at face value, but 1% may fact check my citation and loudly pronounce it doesn't conclude what I said it did. The 99% then gain the benefit of an erroneous report.
This is so true.
The way they are acting I feel like with people inclining towards "ethical" side of the spectrum leaving facebook and the culture is going to shift more and more into unethical.
Show HN: Eirify – Creative Marketplace
I agree that in general statistics is more concerned about inference, while machine learning focuses on prediction.
On the other hand, there is such a huge overlap between the fields that it is hard to make a distinction.
Also there are statistical fields which focus more on prediction the same way as ML does.
For example, in geostatistics prediction is often the only goal, e.g. to predict heavy metal concentration across a domain. People accept that it is impossible to explain every bit of spatial variation and just model it by a gaussian process (the same gaussian process used in ML).
Showing Database Error
How I can resolve this database error in my WordPress website: https://www.techjockey.com/category/plagiarism-checker
Apple salaries aren’t much of a secret, see: levels.fyi.

1M is a lot of money to me, a regular person, but when you consider that top security engineering talent could be making north of 500k in total compensation, 1M suddenly doesn’t seem all that impressive.

It’s a good bet to make on their risk. Imagine paying a mere 1M to avoid a public fiasco where all of your users get owned.

This just seems like good business. They could make it 5M, and it would still be worth it to them in the medium to long term.
I wish it was open source like MySQL.
but if at some point you were root, you can most certainly install something in your victim's bootloader which is muuuch more effective
Damn this is an awesome break down of the industry, and it's hilarious to me that lo and behold someone suggests the Greenberg article and yeh does grugq himself turn up to settle the score.

I can't think my way around your point about prohibition though - I think someone saying "selling exploits is bad" is also someone that would say "the government shouldn't be monitoring us, pedophile or not," and that's part of why they don't think exploits should be sold to governments. Could be wrong.

But, we all generally seem to feel that the government shouldn't be given back doors into our devices that only they get to use, yeah? So instead the alternative is an endless arms race as chrome or whoever tries to out engineer the FBI? Why not just give them the backdoor at that point? (I.e., why not just support them having the backdoor, I'm not implying those in your wheelhouse have the power to legislate or anything)
If they're legally selling devices in these areas, then yes. I don't see why environment absolves them of any and all responsibility.
You know double is exponential right?
Op is right, though. The PT in Berlin is certainly quite large and offers quite some options on paper. But it is notoriously crowded, unreliable, and sometimes just plain slow.

Edit: forgot to mention dirty and often unsafe.
> Also loot boxes - imagine if Wizards of the Coast walked and gave away MTG booster packs on the street for free but told you "pay 10 cents to open it and you could get this cool stuff". Sets a completely different mental model in your head.

Would that be illegal though? I think my point stands - you could do that in real life and no one is really disturbed by it to campaign for it to be outlawed. You can even see it happen if you ever ride the metro, panhandlers will give you a book/trinkets/snacks and ask for a "donation" for you to keep it (most people refuse and give back the token).
Correct. Living in Berlin for 5 years now and do almost everything by bike. Change is extremely slow or non existent. Some stuff is going on in Kreuzberg and Mitte, but it’ Taking ages.
I started reading a bit and found CESM but it seems like a lot of these models require supercomputers. It's not clear that simulation of many years (ie predicting what a core might look like) is feasible.
> Apple can't scale it at a reasonable price either.

That may well be but they charge premium prices and position themselves as providing a premium service. They're the only business that calls their repair staff "geniuses", so I don't think it's too much to expect a "genius" to not go for the quick fix. People expect more from Apple because of how they present themselves.
Is Sildenafil as viable as Sildenafil for erectile dysfunction?
Lol, it's China that caused the riots.

That should be clear by now :p
They are my bits, not yours. If you were upfront about doing questionable things with them, I’d not given them in the first place.
I've used both, and a big difference is that the normal Python tools work for metaclasses, but I'm not sure if you can do step through debugging of a macro?
High-Power CI/CD Pipeline for a Fraction of the Cost
One or more US federal agencies place innocent people who happen to work in a sensitive industry on one or more types of watch list that they scrape associated metadata and facial recognition to detect an association with suspicious people/criminals/persons of interest. I know this for a fact because one of my friends at a big name malware forensics got a call from his manager that the government noticed he was tagged in a picture at a conference after-party with someone who was on a "baddies" watchlist.
> From a purely functional point of view the man's entire contribution to reproduction can last as little as a few minutes. Therefore the cost of trying again is low, so it's not strictly necessary to consider the personality factors you mentioned.

Under your reasoning, it's also not strictly necessary to consider physical factors either. The fact that men have to invest less in child-birth could suggest that men are genetically more prone to promiscuity than women, but it does not suggest that men are more interested in appearance.

Under a "selfish-gene" presumption where everyone wants to spread there DNA, and men, for physiological reasons have to make less investment than a women, it still does not follow that men would weigh physical appearance more than women. Given two women, one with better looks and one with more responsibility or power, genetically, it makes more sense for the man to choose the one with more responsibility.

I suspect that there is no genetic basis for men "caring more about looks" than women, it's entirely a social construction. If society deems physical appearance to be important, it can easily skew any underlying genetic preference. In the nature verses nurture argument, I suspect nurture has at least 80% of the power.
Huh? A "pile of privacy gadgets"?

I do a pretty good job of hiding from everyone. And I don't use any "gadgets". Indeed, not using smartphones is a major boost to privacy. Otherwise, it's just multiple VMs, nested VPN chains, and Tor. All running on ~old i5 boxes that I bought used, for cash.
I wonder how this case would play out with EU laws. Any idea?
They walk...

Check Google Maps for some representative distances (i. e. picl some apparment building, then map the route to the next supermarket, doctor's office, etc).

You will have a store within 500m for the vast majority of residential buildings, and often within 200m. The closest bus stop should also rarely be farther away than about 150m.

Wheelchairs and electric scooters are used almost exclusively by paraplegics, not by, say, elderly people with arthritis. Having far lower obesity rates compared to the US helps.

My impression is that car ownership is exceedingly rare among the elderly, below the already low 30% of households owning cars.

But these pedestrian areas don't make too much of a difference: they tend to be just single streets, so you can always park on the parallel streets and walk just one block.
At what point in the article does it state that well-executed, fact-supported, scientific arguments are a superior (or even valid) form of policy debate?
Wouldn't matter. Aurora's value-add comes from its storage nodes. They would have to open source that too.
Awarding Google Cloud Vulnerability Research
It depends on the format.

I'm a huge fan of booster drafting. it totally levels the playing field and is a great challenge every time.
Who goes around spraying apple trees on public land? I'd be far more worried about finding a worm in my apple!

I do appreciate the efforts of the team behind this map. Found a strawberry patch only a couple of miles from my place.
> I trully think there should be a law on maximum margins at least for life saving drugs, or some kind of regulations preventing this phenomenon

This is exactly the opposite of what you want. Investment goes where the margins are. That’s why huge amounts of money gets invested in stuff like Facebook. Making it relatively unprofitable to create lifesaving drugs just ensures that investment won’t flow into that area.

Apple makes about the same profits as the total US pharma industry, and that amounts to a tiny fraction of US healthcare spending. Too much profit is not the problem.
Oh, the days of the ASCII Code page 437

https://upload.wikimedia.org/wikipedia/commons/f/f8/Codepage...
Probably they're Japanese players bought by us teams and so bring their families over. They're not immigrants and will likely go home and they're culturally Japanese, so I expect they practice Japanese norms on social media like obscuring their children's faces when posting.
Either in the morning or, especially for larger stores, they have delivery docks on the other side of the building. Usually, only a single street is closed for cars.
“AI will never” is a phrase you should remove from your vocabulary. No hate just facts. Right now is the beginning of the end.
Depends what the ever-changing requirements for "upfront" are - it's fairly clearly(?)[0] called out in Facebook's data policy that they use facial recognition and how to change your settings.

What about a picture I took myself of a public place in Chicago with people's faces in it? Those are certainly my bits.

[0] https://www.facebook.com/about/privacy/update
I am a web dev and I hire web devs. It's never crossed my mind to evaluate them based on personal sites. (My own personal sites are unstyled html!)
I am working on removing on all the CDNs and also reducing load times. CDNs over here get vuejs and other libraries that make my work easy. I was planning on getting something working rather than spending time optimizing.
Well it's true. The Hacker News audience is so specific it is not similar to any specific country's population, let alone world population (ie "people" in the general sense).

That's certainly not to say the HN audience is an elite (it's not) but it is comprised of outliers in the sense of people having abnormal jobs and/or abnormal interests compared to the average population in any city-sized slice taken pretty much anywhere in the real world.
Crowded: no, you can almost always find a place to seat. Paris PT is crowded, not Berlin's.

Unreliable: true for the S-Bahn, outages are frequent.

All things considered, it's still better than all other big cities I have visited.
Despite the other comments, this is a very serious issue. In fact, it's one of the most serious that can affect an aircraft, and the serial numbers involved are really grounded until inspected (8 hours) or fixed (1-2 months - ie. rebuilt wing.)

Smaller airplanes work around this by having a "massive spar" with no joints that goes entirely through the fuselage.

In the case of larger planes a "center wing box" can be used, like the newer C-130 serial numbers that are not affected.

Source: commercially-rated airplane pilot who's familiar with military jet design.
It is impossible to hide from big corporate. People tried (1). There is no was to block all tracking unless you go full luddite and unless every single person you know or simply met randomly does so too. Otherwise big corps would just create tracking profiles for you based on activity of others. Small recent example - remember that russian spying app FaceApp (iirk) which made aged pics out of your photos? Even if you avoided it there is rather high chance that your friends uploaded pictures of you instead. Or that phone caller ID app (which is a spyware inside too) - even if you never used it they still know your number probably because others filled it in for you.

(1) https://gizmodo.com/c/goodbye-big-five
Pretty different things - in the panhandler case, you don't want it, it's not tied to anything you do, their target group is everyone.

This is more like standing in front of a kindergarden with an icecream truck before lunch and giving away free ice creams on a hot summer day but you can't open them just look at them unless you pay. It's abusing human psychology without you asking for it - you just want to play the game and they are pushing your brain's buttons to get you to buy stuff. Maybe it won't work on you, but imagine how it's "brainwashing" the younger generations.
What do you mean by unsafe?
Slow, yes. That's a main gripe i also have mostly because the routes are bad. But crowded? Have you been in the Paris or London metros at peak times? If anything it's worse if we are talking only about crowdedness. Even in places like Tokyo, known for their perfect schedules and reliable PT, the amount of people stuffed into a single train is on another level.
Compressing 660fps in real time is a much different task than 30 frames per second, notably because your latency budget is a lot lower. At 30fps you have 33ms to load the frame, compress it and send it off to the destination, at 660fps you have 1.5ms for the same task, which does not necessarily get exponentially faster with lowered resolution.