skysight-inc/HackerNews huggingface dataset:
As a layman, it seems to me that the biggest advantage that humans have over machine learning is flexibility.

While machine learning performance frequently rivals or exceeds humans at many individual tasks once sufficiently constructed and trained, only humans excel at dynamically choosing which tasks to pursue, switching levels of analysis, and when to break the rules for the win (losing at GO? unplug the computer).

To speculate heavily, animal based cognition may be composed of just such a multitude of specialized trained modules, akin to machine learning algos of today: object recognition, emotion recognition, language recognition, typical script/structure of a given scenario, etc. But above that will be classifiers that interpret internal and external environmental signals to choose which of those specialized modules to engage and suppress. In lower animals lacking a heavily recurrent prefrontal cortex, the higher order modules are probably directed by mid brain structures to engage basic fight flight fuck behaviors needed for survival (e.g. pattern recognition module sees snake, freeze or run modules are engaged). In animals with prefrontal cortex, goal and context driven suppression of prepotent responses becomes possible.

Anyway, it seems to me that for machine learning to become a general intelligence, there will need to hierarchies of specialized machine learning classifiers, some specialized in sensory classification, but others in that are meta..classifying those classifiers into scripts, scenarios, etc.
Possibly related to the Wikileaks Vault 7 release?

EFI
Available for: macOS Sierra 10.12.3
Impact: A malicious Thunderbolt adapter may be able to recover the
FileVault 2 encryption password
Description: An issue existed in the handling of DMA. This issue was
addressed by enabling VT-d in EFI.
CVE-2016-7585: Ulf Frisk (@UlfFrisk)
That's great. Is this site more of a resource for Googlers, and for outsiders to understand the process? A lot of the information I'm reading seems to suggest that.
> The programmer who wrote 3 out of the 4 complained about things invented bitcoin

That doesn't make him a good programmer. In fact it's entirely possible to be a brilliant cryptographer but only an average programmer.
Dice Tech Salary Survey 2017 [pdf]
Great, now uncle Sam knows everything I'm thinking while I program.

No thanks, I'd like to have SOME privacy. What I punch into my editor shouldn't be public until I git push.
The God I Knew Was the God in “The Shack” Before Everyone Told Me I Was Wrong
Audi R8 V10 Plus vs. Audi Rs6 vs. Audi S8 Drag Race
>>I understand were you are coming from with a comment like that, but I would argue that the large majority of people read about and get emotionally invested in news stories that have no impact on their lives.

That's because most people care about those other than themselves.

For example, I'm not gay, but I care about gay marriage as an issue because I have friends who are gay, and when some state or country far away treats gays badly, it gets me worked up.
But aren't lasers incremental too?
This is exactly what I, too, found the most interesting part of the article. Wow. Contributions to the war effort came in any number of unusual forms.
> Most people don't understand just how high the casuality rates were.

Indeed. There is actually an old board game that teaches this lesson more effectively than any history book I've ever come across: Avalon Hill's B-17: Queen of the Skies (https://boardgamegeek.com/boardgame/1032/b-17-queen-skies), first published in 1981.

It's a deceptively simple game: you play as the crew of a single B-17, and follow them over Western Europe in 1942-43. The goal is to make it through 25 missions, the number real-life bomber crews were expected to carry out before being rotated back to the States for non-combat duty.

What makes it so effective is that, after a few games, it quickly becomes obvious that keeping the entire crew alive through 25 missions more or less requires a miracle. A really lucky player will be able to keep the bomber itself going to the end, taking occasional casualties and rotating in new faces to fill their seats, with the result that at the end you look over the crew roster and find half the people you started out with are gone. And that's the lucky player! The less fortunate hit one of the many, many catastrophic failure modes that can bring the entire bomber down in flames long before mission 25 is anywhere near in sight.

In real life it was so rare for a crew to make it through 25 missions that when one finally did -- the crew of the Memphis Belle (https://en.wikipedia.org/wiki/Memphis_Belle_%28aircraft%29), who flew their last mission in May 1943 -- they instantly became national celebrities. So the grim odds the game lays out are depressingly accurate.

(Given its age, it's hard to find pristine copies of B-17: Queen of the Skies today, but there are modern remakes like Target for Today (https://boardgamegeek.com/boardgame/160903/target-today) that are more accessible. Or, if you're willing to wait a little while and live with a used copy of the original game, it's not too hard to get one via eBay. I recommend it if you're interested in the subject; it's a fast play, and since it's a solitaire game it doesn't require assembling a group to play.)
Great job!

A+ for having the fdroid install.

Have you looked at sandstorm.io for self hosting support?

I like your landing page. It's fairly clear the values your offering but I'd expand on what clients you are going to end up using after migrating etc.

"""It seamlessly integrates with Android so you won't even notice you are using it."""

Might become

"""It seamlessly integrates with the current Android calendar/phone/contacts applications so you won't even notice you are using it."""

Nicely done. I think it definitely is an area that needs this or something very close to it.
It is coming soon! Here is a Hybrid ZTR prototype my company has been working on.
https://www.youtube.com/watch?v=J34KU9OG9M8
Besides what others said, "loser pays" gives incentive to increase total legal costs where people who think they have a strong case where the other will pay could spend absurdly on the suit. And it reinforces sunk cost too. Once you're into the case, you better do everything it takes to win at all costs (since you won't face the burden of any of those costs if you do win).
So you use other technologies against that non-militant combatant. Modern wiretapping, wall building , and anti-missile weapons for example , create a totally different war for Israel.

On the other hand, in today's world when technology, and among it military , and dual-use technology is so cheap , it's seems impossible to make a dedicated distributed enemy
Quit, so some even call this "the end of victories".
Why would my corporate website be sharing the same codebase as our product app?
> Ah, I see now it is a plot of CO2 equivalents... that ignores water vapor while the others (BC, OC, CH4, Sulfur, NOx, VOC, CO and NH3) are rather negligible (which is why the ppm values are close to those for CO2 alone).

Unless you're planning on boiling an ocean or great lake some time soon, humanity isn't directly effecting the amount of H20 in the atmosphere at appreciable levels as a first order effect. It's not a parameter under variation.

C02 equivalents are a parameter under significant variation, and as a first-order effect of human action.

We are interested in the dynamics of the system as we vary a parameter that we can, and are, directly manipulating.

Larger atmospheric, oceanic and whole system models then incorporate H20 and other effects in a simulation as the parameter we actually control is varied.

If this were explained on the page, you'd complain it was too technical.

> Anyway you can deny what I am telling you, but it is usual for people to go to supposed authoritative site like that, then check wikipedia and see H20 is the biggest greenhouse gas.[1] As a result they just shrug and figure no one knows what they are talking about, since they can't get the story straight.

Is that really common? I mean, there are actually a large population of people who will read [1] but don't bother to click on the link right under the graphic and see how the graphed data is used in climate predictions?

I'm highly suspicious that there's actually a significant population of people who are open to being convinced but make such a sophomoric mistake in their reasoning.

Someone can always find reasons to be uncharitable and dismissive if that's their predisposition. People with that predisposition and willingness and disregard evidence for even the most superficial of complaints aren't going to be convinced anyways.
This is wrong. You should not be trading options if you only have a directional view of a stock, as you will get eaten alive. Options pricing involves much more than just the underlying stock. Most importantly, as another poster said, there is implied volatility. There is also time risk and interest rate risk priced into the option.

With options, you could be right on direction, and still lose money.
> 1) Exome sequencing is below $1000, but analyzing that data adds a non-negligible cost.

That is by and large the most significant factor that we've seen which slows adoption of more widespread whole-exome or whole-genome sequencing. It takes less than a day and costs less than $1000 to sequence your exome (and even your whole genome), but the backlog for analysis of the sequencing results in labs can be 9 months or more.

There are patients that could be treated from the analysis of their genome that aren't even considered if their prognosis is shorter than the amount of time it will take to get clinically actionable results from the lab, which is the really sad part. This problem is actually what led us to create our company, Genomenon, to help make the analysis much faster and alleviate the bioinformatics bottleneck at the sequencing labs.
I'm on a work visa here in the US, and I couldn't get financing on a Volt because GM Financial insisted on doing > 30 months lease on their hybrid cars (and my work visa expires before then, though it's likely to be renewed anyway).

Go figure. It's not like I can't afford the monthly payments.
No doubt that greens fees are certainly a barrier. The muni near me [1] (bordering the Boston city limit) charges $10 for a junior, which equates to about $2 an hour given the pace of play on a busy golf course. While I understand that is still not free, it is an very low barrier to entry.

Old clubs are very easy to come by (relatives, craisglist, loaners). The main thing that I feel is being overlooked on this thread is that balls can be had for free, given the child puts a small amount of time in to look for them. Walk along the tree line of any fairway in the world and it will not be long before you've found enough balls to fill your front pockets.

[1] http://www.presidentsgc.com/aboutus/rates/
We had BLITs at Wisconsin talking to a VAX running some 4BSD release, might have been Uwisc-BSD.
Here are the five things I look out for when evaluating a new position:

1. Is the salary enough to pay my rent, feed me, and allow me to save a little bit every month? (This one is obvious. Don't take a job that will put you in debt!!!)

2. Do I trust that my direct manager will protect me from bullshit? (This is a REALLY important one for me, and is the reason I've rejected offers. If your future manager is an asshole or treats you like shit during the interview, don't take the job. A good manager exists to make sure you do the best work you can possibly do for the company, and gives you any resources you might need for that. A good manager is your leader, not your enemy.)

3. Will I be able to learn and grow in this role? (A good manager will help immensely with this one.)

4. Do I like the people I will be working with? (If you don't at least tolerate the people you work with on a daily basis, you're going to be miserable).

5. Is my commute within reason?
$ txr
This is the TXR Lisp interactive listener of TXR 173.
Use the :quit command or type Ctrl-D on empty line to exit.
1> (let ((l '#"abcd 123456789 zz")
(i '(1 0 1 1 2 1 2 1 1 0 1 0 1 0 1)))
(gun (pop [l (pop i)])))
(#\1 #\a #\2 #\3 #\z #\4 #\z #\5 #\6 #\b #\7 #\c #\8 #\d #\9)

Conversion to string:

2> (let ((l '#"abcd 123456789 zz")
(i '(1 0 1 1 2 1 2 1 1 0 1 0 1 0 1)))
(cat-str (gun (pop [l (pop i)]))))
"1a23z4z56b7c8d9"

What is this gun we have armed ourselves with? It stands for "generate until nil": it generates a lazy list whose elements are formed by successively evaluating the argument expression. If the expression yields nil then the list terminates (without adding that nil as an item).

The expression uses side effects. The pop macro is straight of ANSI CL. Except, in TXR Lisp, list processing stuff like `pop` works on other sequences such as character strings: we can pop the letter a out of a place which holds "abcd", leaving "bcd" in that place. This approach just "popped into my head" immediately.

We also have a syntactic [...] which gives us indexing (and other things).

We also have #"..." which is a "word list literal". Simply, #"foo bar baz" means ("foo" "bar" "baz"). Note there is no quote there to prevent the evaluation of this as a form; so we still have to use one.

I won't bother implementing the apparent requirement that the indices be digit characters from a string; I consider it a serious blemish on the language, if it's doing it implicitly. We can map a string of ASCII digits to the corresponding values like this:

3> [mapcar chr-digit "01234"]
(0 1 2 3 4)

Characters are characters, and numbers are numbers. Dynamic typing: yes please; daft typing: no thanks.
check out agora - an idea platform for employees. it's used by many communities to crowdsource ideas and ask questions. here's an example of a public community:
https://agora.co/community/-KS1p19O5jl8PjpSmkrK

we've developed an enterprise version for companies to do employee engagement too :)
My experience lines more up with the poster above. I've only been harassed by a creepy, young, single guy.

So I guess the pattern is really creepy guys?

That said, the "Dads" I've worked with (men with children, who I know have children because they talk about them or bring them in sometimes) have always been very easy to get along with. Also, I sometimes overhear them comparing notes on stuff they do with their daughters to teach them tech and science, which makes me all warm and fuzzy inside. Kudos to all you out there raising the next generation right.
GameDev Tycoon DRM (2013)
These are my top 5. Usually I think its common sense especially if your the one applying for the job, one would assume that you want the job if it was offered to you.

1. Is the job described what your actually going to be doing?

2. Team/Company Culture, did you meet the team? how are the managers? the company values? etc..

3. Salary expectations (whatever yours is or anyones is) don't be afraid to negotiate if you feel its to low.

4. Do you see your self here for more than a year?

5. Room to grow, do you want to become a manager? or a senior developer? what options are available to you?
> Ordering A1C, remembering to actually check the results, and telling patient to stop eating sugar - well before they are symptomatic for diabetes.

Yeah, it's that last part ("telling patient to stop eating sugar" [and getting them to actually change their behavior]) that's the hard part.

This is the holy grail of medicine and has been for decades. We've done billions of dollars of research over the last century, and the one clear thing we've found is that we do not know of any cost-effective way to get patients to change their behavior at large[0].

Seriously, if you really have the answer to that question, you could be a multi-billionaire.

[0] That is, we can change behavior of some patients, but they're generally the patients who would have changed their behavior anyway. And we can change the behavior of some of the rest, but they're not cost-effective.
Why is Wikipedia worse with pages for every movie ever made, though? Why would it be better without them?
OK, so let's run the numbers for overtime as double time.

An 8-hour weekday shift with 2 hours not behind the crane is:

(75.91 * 6) + (73.91 * 2) = 603.28

A five-day week at that rate is 3,016.40.

52 weeks of that is $156,852.80. Add $60k insurance (and it's questionable to bundle that as "pay", but whatever), and we're at $218,652.80. Add $18k for max 401(k) contribution and it's $234,852.80.

From there we need to find $265,147.20 in overtime to get to $500k. If the overtime rate is double time, and if literally every overtime hour worked is behind the crane, our engineer needs 1,747 hours of overtime in a year in order to hit $500,000.

Working at 8-hour shift every weekend day can eat up 832 hours of that, leaving 915 hours we still need to find somewhere else. That's 17.6 hours of overtime per week. If they're only worked on weekdays, the crane operator needs to work an 11.5 hour shift every weekday and an 8 hour shift every Saturday and Sunday, year-round, to hit $500,000.

I'm more than "a little suspicious" of that.
Game inspired by Black Mirror
No the value offered to the healthcare system. If a disease is costing a public/private payer $100K per year, if I price my drug at $30K per year and eliminates all other costs, I'm saving everyone $70K per year. That is offering real value and should be paid for.
> Tesla has the customer reputation that companies like GM will never have again.

Tesla is more like a luxury brand so its biggest potential competitors will be the big 3 in Germany and possibly Lexus (which all have a pretty good reputation), and currently none of them propose that many options.

Audi and Lexus have none. BMW has two, but only one of them can sort of compete with Tesla (can't go far with the i5 battery). Mercedes only has one (if I'm not mistaken). It really feels like they're only getting started, and if/when they start releasing really compelling models, it will be something more to deal with for Tesla.
None of this is surprising if three elements are considered:

1. Productivity has soared

2. Wages have stagnated / wealth gap has widened significantly

3. US Corporate Culture is currently rife with an attitude "Let the Boomers Retire, we have a Hiring Freeze"

There are too few people doing the work of too many, which chokes the upward mobility of the youth, increases the wealth gap between Working and Investing class citizens, and essentially is masochism in the "modern era" of US Consumerism as an economic engine.

Don't believe me? Do some math on stock buybacks 2015-2016 versus publicly announced hirings and layoffs. You'd be surprised how easily this amounts to justification for putting Greenspan and Bernanke in jail. Those guys stole from tens of millions of Americans to benefit a few hundred.
Every art event in every city on one neat webapp
I wish people could buy something like an "implied short", which would basically be an index minus Tesla.
I agree with you. I think I'm just more optimistic is all.
I have no inside knowledge here, but I would guess a Kite Enterprise would be a future offering. Like GHE.
You can run your own git repository (it's really easy). And most of the Git-service providers offer an "enterprise" version where you can self-host.
I guess there will be security that will stop non-Amazon customers, and probably help setting up accounts.
I had they're one of the providers but I've also heard, from a smaller Twilio competitor at a conference, that AWS utilizes several SMS providers, which might make sense regarding the extra limitations.
Internet privacy? Who needs that?
The graph that convinced me (many years ago) was this one:

http://www.jeremyrhammond.com/wp-content/uploads/2016/03/mau...

It is simple physics as to how CO2 works as a greenhouse gas. Seeing the clear trend of increasing CO2 in the atmosphere makes warming sort of obvious (at least to me). All of the complex second order effects (how much warming, how climate and weather patterns will react, and so on) are much more complicated and therefore less clear. Nevertheless, we are having a strong clear effect on the atmosphere which is going to warm the planet. The rest is details (though those details are getting a lot scarier, recently).
But that's because most of the money and talent has focused on the digital realm. Progress is going where there is the best ROI.
> Plenty of people add a stub, don't bother to finish it, and never edit again out of basic disinterest.

Why is that a problem? Suppose you write a stub and walk away. Some day I want to look up the same subject and maybe write about it. There are two paths:

1) Your stub still exists. I see your references and use that as a starting point to flesh it out.

2) Your stub was deleted. I see none of your work and start over from scratch.

On a practical level, what would the existence of your stub cost? It's a few KB of text and not directly linked from anywhere; it's not like we all find WP articles by loading a master index and starting from the top.
I've spent a lot of time doing manual tracings of brain structures and I tell you now that while automated methods are improving rapidly, and just now approaching the average ability of a tracer, they do not rival experts yet. The most time efficient methods now is semi-automatic. Begin with the automated methods, then make manual corrections.

Given all that, brain radiology is a lot easier that pathological radiology (e.g. tracing the extent of a lung tumor). There is a lot of research into automating this, but dice overlaps are still poor.
US based only:

I know it's not PTO, but there are certain qualifying events that allow you to take extended leave from work without repercussion. It includes childbirth and medical conditions where a family member needs care. It's the Family Medical Leave Act[0]. The shitty part is that it's unpaid, so if you can't afford to take 1/2/3 month(s) of absence without pay, it's useless to you.

[0]: https://www.dol.gov/general/topic/benefits-leave/fmla
>What are you basing this on?

Logical extension of how the strategies for technologies like Car-T therapies are being developed and delivered. By first targeting an ex-vivo tissue (like T-cells that can be harvested and then re-implanted), you first develop the tools to use genome editing techniques effectively, without significant off-target effects. It's essentially practice for much more useful therapies that can be done in-vivo. Further, the design of the biological 'sensors' in the T-cells are precisely the kinds of sensors you'd need to deliver a payload to and only to a mutation-containing cell. So you would neither need to target an entire organism (rather a tissue, or even a particular cell type), and off target effects from genomic insertion would be curtailed by advances in the technologies surrounding Cas9 itself. For many cancers you wouldn't need to repair the mutation in the entire organism as the cancer is tissue- or cell-specific.

You are correct that you would, however, likely need to repair the prior to significant metastasis or loss of stability of the chromosome. At that point fixing a point mutation is not going to help much. All the more reason screening and baselines should start being established now - so that we can even detect a mutation prior to it becoming 'cancerous'.

If you know you have a stop codon mutation in your Her2 gene when you're born, it will not be too far off when that stop codon, in particularly sensitive tissues, could be reverted with reasonable safety prior to the development of an (inevitable) cancer. And ultimately that actually cures the the cancer in a way a small molecule can never, from first principles, hope to do.
>The RAF advised against such a strategy, having tried the same type of raids themselves before American entry into the war;

And before the RAF, the Lufwaffe had also learned the same lesson over England in the winter of 1940-41.

Ground imaging radars like H2S and H2X appeared later in the war, but still did not allow for accurate bombing.