skysight-inc/HackerNews huggingface dataset:
apologies for my simplistic agnostic point of view, but what's the big deal? that some historic records from 1400 ago may not be that super accurate?
anyway from big enough distance, isn't christianity just a sect* of judaism, and islam just a sect* of christianity? they share most prophets, events etc. and god should also be roughly same guy up there somewhere.

* by sect i mean forking given official doctrine at that time by claiming that all before didn't get it right but you did, god showed it to you specifically etc.
just like gazillion variations of chtristianity forked from original catholicism (well, I suspect that even catholicism is now are quite a bit different religion from the original one in early AD centuries).

something tells me I just insulted half of this planet, but cannot help it - from rational point of view, what holy books contain are just some old stories, not more or less interesting then say Myths and legends of ancient greece, or Aesop's fables. now imagine somebody would base their whole life around those, feeling he is right and all others got it wrong. funny, no? no... From purely rational point of view, I fail to see any added value of religions in these times. There are many irrational - emotional aspects where they work, but I just cannot turn off my rational critical part of me that asks questions and doubts anything not provable by experiment, repeatedly. And the Ultimate truth, I mean THE truth, should be able to stand any test of logic with flying flags and should be as solid now as 1500/2000/3000 years ago.

my 2 lousy cents
I'd think economics should be about describing systems in terms of cost, and finding how much a certain action will cost or profit the system. There is tons of economy to be found in the natural world, and it is mostly shunned by economists, and left to the naturalists. I don't know of any other science that ignores the natural world like that. And yes I see a problem with that. The probability of being wrong becomes huge. What good is an abstraction if it's wrong?
Actually, Keynes called his book General Theory precisely because it included unemployment, in the context of Keynesian economics usually called the output gap. So "no involuntary unemployment and, indeed, no money" is a insult from a Keynesian against neo-classic models.

Second, "real wages fell by 40% but employment dropped," this is precisely what a Keynesian expects. The core insight of Keynesian economics is, that the employees are also the consumers, so that falling prices lead to falling demand.
A wire is an electric field with an electromagnetic field in the vacuum surrounding it. Chances are the same principle applies here: you'd have a magnetic wave in your tissues with a weak electromagnetic field around you. I'd assume that the "magnetic field" would be similar to (or the same as) the field present in ferromagnetic materials.

Remember electromagnetism isn't really a "thing:" it is not a distinct field, rather its two fields that interact with each other. The electric field and magnetic field are still distinct.
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That's a problem though isn't it? (Serial procrastinator here). When you've got non deadline based tasks (clean up your table), and personal goals (release that side project), the mantra of two deadlines really kicks you in the butt. Since there's only an imagined deadline, it's too easy for us to push it aside and say "I'll do it soon... Not now though"
It's just a minimal example.

> Its primary merit is that it makes use-after-free cases immediately obvious, since they're going to trigger a segfault.

But then it hides double free errors.

int count = 0;

void foo_destroy(struct foo **f) { free(*f); count--; *f = NULL; }

void bar() {
struct foo *f = malloc(sizeof(struct foo));

foo_destroy(&f); // ok
foo_destroy(&f); // no error, but count is now wrong
}
Whenever I see code for neural networks in caffe/torch/theano, it bothers me a lot that its not easy to get them up and running on windows. I can't believe MS is missing this boat. I believe this field is exploding right now and the only one seem to be aligned is NVIDIA. MS has sponsored development of nodejs for windows before. I'm hoping they will do something similar for these frameworks soon.
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Good comment - I remember while studying economics (a subject I have always enjoyed) I got into an argument with some fellow students who felt that it was too 'fluffy' and 'not enough meat'. They wanted to do equations and get hard answers.

The truth is that Economics is the study of choices in a world of limited resources, and that the process is exactly as you have said : observing initial conditions, material decisions and subsequent outcomes. It is, as laid out by Adam Smith, also dependent on certain initial inputs (theory of moral sentiments) which produce rational actors.

The amusing thing for me is that, despite repeated tests and outcomes, people continue to think that they can wander off the reservation and get better outcomes with the same humans by trying different things to try and control the flow of limited resources. The results are rarely pretty, but the siren song of being able to improve things and be hailed a hero draws people into thinking the rules do not apply.

Krugman wandered off the reservation a while back and hasn't been worth reading since at least 2008.

The point is, you don't have to agree on economic policies to agree that it's not a hard science and shouldn't be treated as such.
I played Valkyrie on the DK1, it was awful, I felt sick for about two hours afterwards.

I played it on the DK2 about a year later. I felt a slight twinge, especially when the head-tracking hitched, but afterwards I felt fine.

Also played a racing game on the DK2 around the same time with no ill effect. I think the head-tracking really helps here.
As opposed to diseases, cancer is new every time. If somebody's cancer cells evolve to become resistant to some treatment, this resistance cannot spread to other people. As such, you're only looking at evolution in a comparatively small ecosystem and over comparatively short times.

So "yes, but not necessarily".
I'm really looking forward to a benchmark of the GT4 graphics; I'm a game developer, and it might just be the first time I can work on a laptop with integrated graphics.

Of course, it'll still be a rare and power hungry configuration, so it's not like I'll suddenly be using a Macbook, but it's a nice progression.
Well, I am not a big fan of today's "more debt, more gov't spending = more prosperity" but markets only parallelize a process and the best ones at this process survive while the worse ones drop out of the market.

So, in a sense, if you assume ideal markets to have an "infinite number of participants", then yes, you can solve TSP in polynomial time but otherwise they will just evolve like bitcoin miners which as of yet still didn't solve the "find a decent hash" problem an order of magnitude faster even though there are many of them.

My beef with economists is that they themselves are not subject to markets so the bad ones and the good ones survive and you end up with lots of noise.
I don't think a model based purely on empiricism will work. Because people will read about the model and try to correct for their biases.

On the other hand a purely game theoretic model is not satisfactory either because a lot of people wont read about the model, and wont act optimally.

Maybe a two-tiered model, with "fish" and "sharks" could be a solution.
The best theories on economics date back much further than the twentieth century. The history of economics is far more interesting than trying to run experiments. A talented economist has to be able to come up with explanations for things they observe, which can then be proven out with further data.

The mistake is in thinking it should or could be a hard science like physics.
Can't believe this has 52 points and no comments as such.

I enjoyed this video.

This was the first time I properly felt that proof rewrite rules are essentially our attempt to capture the squishy notions of "this is what we informally do when we prove stuff".

It got me thinking in terms about what is permissible or allowable. So, Logical And Introduction is: You're not allowed to use -- use, in the sense of introduce -- & unless you know (that) A and you also know (that) B.

A B
----- &-I
A & B

It got me thinking that it'd be neat to have a programming language with logic-system annotations. For instance, if in Haskell Monads are equivalent to Modal Logic then it'd be nice to be able to partition programmes by logic-system casting. Probably overkill for day-to-day programming. But it'd make for better static analysis I'm sure. Also, the notion of safe/unsafe in some programming languages could be subsume into this machinery when you think about it, for instance instead of

unsafe fn()

you'd have

logical-system(null) fn()

if you see what I mean.
The use of machine learning seems promising. One of the troubles with using regular mathematical equations is that at the end of the day economics is about human behaviour and that doesn't fit. Take a recent phenomenon like the 2008 crash. Banks increased lending, bankers made big bonuses while passing the risk on to various other parties and used some of the money to lobby politicians and keep the whole thing going until it suddenly collapsed leaving the other parties with the bill and the bankers with their bonuses. You're not going to capture that in a simple equation but running machine learning on say 50 previous crashes might get wise to what's happening.

I'm guessing you could run something like face recognition software but instead of faces it could recognise effects like the above and flash some politicians being paid off to turn a blind eye to high risk - give 'em a kick, warning or similar.
I don't understand the question. You've already got a 3D environment, all you have to do is implement camera control for the headset. For simulation games where the user is stationary (planes, cars) you can pretty much stop there.

Other games will need to be designed with VR in mind, but it's not going to balloon art budgets or anything. On the contrary, what a lot of developers find is that they can get away with less sophisticated graphics while maintaining a sense of presence. See Superhot for a good example.

https://superhotgame.com/
What your advocating is precisely what the article argues is wrong with economics as it's praticed today. Debating mathematical models is one thing, and debating the application of mathematical models while ignoring empirical facts is another.

> Machine learning and deep learning especially has a pretty cool new role here, but it will never take of this dynamic ongoing disucssion.

Your pagerank is strong.
Yes Yes yes....I want to learn but am in need of a tutor!! Help.
>That would make the techniques less interesting to many economists, who are usually more concerned about giving policy recommendations than in making forecasts.

Therein lies the real reason for the panoply broken economics models. They are more often used for the purpose of lobbying rather than for impartial prediction.

Much of the profession (particularly the elites) only exists as an intellectual pretext for maintaining and perpetuating existing power structures. It's about as scientific as the departments of Marxist economics were in the former Soviet Union or the Vatican in 15th century Italy.
This is a great course from Paul Kelly at Imperial College - I took it when studying there and found it fascinating, although I should have worked much harder on it.

You should have a look at the lecture notes. If the course is too advanced, you can look for its predecessor, which introduces RISC architecture very well and constitutes a strong starting point for anyone interested in this field.
If the Toyota debacle is any indication, the code that goes in the car is not pretty either.
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All theories are abstract, that's the whole point of a theory. Without abstraction there's only observation and no reasoning. That's why I'm highly sceptical of the claim that it is possible to understand something simply by "letting the data speak" without "committing to a theory".
The question would involve finding out a lot more details for the answer I gave. It would have to be proven to be pretty effective.
personal anecdote:

- the resolution on the Oculus DK2 is painfully low -- it's like sticking your face 1 inch from a 640x400 CRT monitor. This made me car-sick after a few minutes.

- the sense of "presence" and natural neck movement is very good and it feels natural.

- the notion of a headset is a bit clunky but i don't know of a better solution.
There are a couple of protocols that do similar things, but nearly all of them have a major fatal flaw, that is unfortunately very difficult to work around through no fault of their own: mobile push notifications, especially on iOS. An open protocol is useful, but not enough, and that's where Slack hosting and developing everything themselves has an advantage, despite open protocols and tools being what I'd normally want to use. But practicality matters, and so when I last looked at alternatives a year ago, I couldn't find anything that would be a drop-in feature-complete replacement. It's a shame, but I expect something to come up in the future, perhaps on Matrix or other protocols.
Before I reply, can I just say the fastcode site is one of the worst reading experience I've had in years. Truly appalling.

For young kids, the problem with traditional languages is that you have to spend a huge amount of time dealing with syntactical issues like whitespace, nesting brackets, the right kinds of colons, singe/double quotes, etc, etc on any non-trivial program. I've taught my girls (10 and 11) a little Python, but kept it small scale largely because of this. On the other hand they can create pretty complex interactive animations in Scratch without having to deal with any of that, because they can focus their attention on the logic and the functionality of the commands.

I suspect that once they get to 12 or 13 this will be less of an issue, and my eldest coped with the syntax issues better than her sister when writing a bit of Python, but when they first started learning Scratch at age 8 and 9 I think it would have been extremely challenging for them to use something like Python or BASIC.
If we don’t understand both sides of China’s balance sheet,we understand neither
We developed a piece of software for use at a pharmaceutical trade show and had nearly 1000 people use it over three days.

This was exactly our experience. There was certainly a 10% who were absolutely blown away and we almost had to rip the headset off them after 20 minutes. Around 80% who were quite amazed and engrossed in the whole thing and certainly a 5 to 10% who were just meh, or felt a bit queasy very early on.

We deliberately programmed in an early section that would separate out people likely to feel sick early on. Our thought here was to get them out early on, rather than let sickness creep up on them.

I think the 5 to 10% will shrink quite quickly with new hardware. We couldn't calibrate IPD for everyone - new headsets make this much quicker and easier to do. Reduced latency, etc. is all going to help here as well.
I disagree.

(1) The millions that go into creating 3d games for 2d surfaces are often going for things that may not matter for VR. Much of the push in AAA titles have been towards photorealism. Photorealism is not necessary to induce presence.

(2) With presence, VR content will not necessarily be about games, it will be about experiences, of which games are a small subset. It's a different medium.

(3) The current trend towards violent games won't work. With a sufficient level of presence, the current edge of VR technology will induce an existential crises. It doesn't work for everyone (yet), but we've never had something that closed enough of the uncanny valley gap until this generation. When I heard that it induces an existential crises, I knew this is the real deal.
one way is 3D colony formation assay, 96 or more WxC combinations at a time depending on format and replication requirements
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Considering financial policies are the de-facto social discussion around the Globe, and progress of the human species is being discussed and perceived in financial terms, it is no wonder the role of philosophy has fallen to economists.

One can hope that data-driven economics could improve predictions, but keeping the theory discussion alive is vital, if we are to ever understand our goals as something more than increasing production and consumption (quantitative).

Using the correct set of data, has long been the main issue with economic theory conflicts, and data-driven economics can only make a difference (and a huge one) if that changes.
I would be very surprised if banks and big trading companies aren't doing this already, in order to predict markets. Sharing this information, however, would eliminate their competitive advantage, so I assume they just do it secretly.
My understanding was that they used doubles as int52's, and the troubles they had came when that int52 overflowed and corrupted the exponent of the double.

As opposed to the usual double problems.
Doesn't (over-applied) machine learning just lead towards a variation of exactly the same problem?

Instead of "this model fits the curve and sounds attractive and sciencey" it becomes "this model fits the curve and was done by computer!"

Not really the "empiricism coming to economics" that the author claims, but I guess it could support better outcomes. For a while.
I think that segment of really small restaurants of less than 10 employees wouldn't be facing a problem of scheduling processes to such a degree that they would be willing to pay. First, the lower number of employees reduce the need for such an app, and second, smaller restaurants are less likely to pay for services when they're operating on lower margins.

Best of luck though, and good luck with your aspirations to become an actor. :)
The most interesting to me is that Intel apparently stopped publishing transistor counts starting with the 14nm node.

This is significant because as structure sizes become smaller, the restrictions on possible layouts (so called DRCs, design rule constraints) become ever stricter. For example, you can't just place wires wherever you want; you have to take into account the relationship to other wires. With stricter rules, the end result may be that the effective scaling achieved is worse than what the structure size suggests, because the rules force a lower density of transitors.

So what are Intel hiding? Are they far ahead of the competition in terms of DRCs and don't want others to know how much, or are they struggling (like apparently everybody else) and want to hide a less-than-ideal effective scaling? Obviously, your guess is as good as mine, but it's certainly fascinating to watch the competition as Moore's law is coming to an end.
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There are worse economists out there than Krugman. Larry Summers, Mankiw. Anybody from the Chicago School.
Dartisans are sensitive. Trust me. I felt their wrath just two months ago.
I had that a few years ago with an earlier red-blue 3d system, and it was terrible for 20-30 minutes. I had to lie down.

It's also known as "Doom-Induced Motion Sickness" or DIMS. (1)

Motion sickness in a car or boat is caused by a conflict - the inner ear says "you're moving" and the eyes say "you're at rest".

With a game, this is reversed - the eyes say "you're moving" and the inner ear says "nope!". This was worse, or at least unfamiliar in a bad way.

1)

http://www.theguardian.com/lifeandstyle/2011/dec/19/video-ga...

http://kotaku.com/5869607/how-motion-sickness-can-ruin-games...

http://www.escapistmagazine.com/forums/read/9.254333-Doom-ma...
Economics has an honesty problem. Financially motivated obfuscation is a problem in other sciences: global warming denialism, sponsored studies claiming that cigarettes aren't carcinogenic, all manner of food health and safety claims, and so on. Generally the evidence is overwhelmingly against them and the battle is mostly over PR and communicating to the public.

Economics is different; arguments that are very convenient to people who are wealthy under the status quo are very difficult to challenge, resulting in failed austerity programmes, "trickle down", and so on.