skysight-inc/HackerNews huggingface dataset:
I think we both agree that complex carbs are better than refined ones, and there are foods that are somewhat heavy in carbohydrates that are still good for you (kale, for instance).

I'm super skeptical that 45-65% of diet being carbohydrates is healthy though. Unlike proteins and fats carbohydrates don't have much nutritional value other than being useful for creating glucose. Since your body can synthesize glucose anyway, you don't really need that much. In terms of fiber, you can get that from vegetables. I don't necessarily think you have to cut out carbs completely and go on ketosis, but of all the major macronutrients carbs are the least useful, so it seems odd that they should be the vast majority of the diet, especially when we've known for at least a hundred years that carbohydrates are fattening. (I'm amused when people act like ketogenic diets are "new" -- historically high fat/low carb diets were common. And historically we didn't have an obesity problem.)
I'm sure they weren't 404s in 2009! It's not my argument that the links were added in bad faith.
This is a point release that updates CentOS 7 to (1611). CentOS 7 has been out for a while now.
[Webinar] Splunk: To Virtualize or Not to Virtualize
Got it. Thanks for the clarification. It is true that people are using ML where other, simpler options are available, but I wouldn't immediate discount the value of using nets for your problem. I don't know enough about your problem/implementation to speak to it really.
It's interesting to me that with all the ML hype, it's still not clear what constitutes ML. A basic k-means or naive Bayes approach will show up in ML textbooks, but those aren't clearly different from "use some statistics to make a prediction".

There's an interesting group of marginal approaches that have existed as-is for years, but have increasingly focused their branding on machine learning as its profile has risen.
I think it's mostly due to browser support and developer awareness of Web Components. Chrome has native support (of course) for the four main technologies needed for Web Components, but other browsers are starting to catch on. In the meantime you need a few Polyfills to get full support, which is not ideal.

The support graph is starting to look a lot better, though: https://jonrimmer.github.io/are-we-componentized-yet/

Safari has shipped 2/4 of them already with the Custom Elements v1 spec currently in the Safari Tech Preview and turned on by default. https://webkit.org/blog/7027/introducing-custom-elements/
The Glass Universe: Harvard's Women Who Revolutionized Astronomy
Smart Contracts Won't Kill Jobs
I wouldn't put too much money on that bet. Adding twenty years might still be too optimistic.
I wonder what the hourly rate and shift schedule is in Apple stores versus Microsoft stores.

There's nothing like low pay and long hours to ruin a product because employees are treated like cattle.

If that's what's going on.
> All that was tested was fsync(), not "storage operations", and the Moto Z was faster at fsync() because it turns off fsync.

That's not what was tested, that's only what is shown in the graph. The lack of fsync contributes to it.

I wrote a little fio benchmark driver to fill all available device storage with random 4k writes, print perf stats along the way

One of the other things clearly mentioned is that b/c of Google's use of an additional FUSE filesystem they take a 30% performance hit:

This means that on the Pixel every user IO gets a round-trip back into user-space before hitting the NAND. Fuse burns more CPU and slows down IO by up to 30%.

Sure, the nobarrier trick makes a lot of difference but it's not the only thing in that post, nor was that the actual benchmark.
It seems like you're basing your judgement largely on your Black Friday shopping experience. You go from saying the "ENTIRE experience was dreadful" to "Aside from the trackpad I don't have too many complaints". This is a rant about Black Friday, not Microsoft.
The worry is that the training data has been affected by human bias, so that bias will bleed over into the ai.
I'm religious about keeping this thing up to date.

I've had the "sleep of death" issue occur multiple times, in spite of keeping my SB current on updates.

I've been to the MS Store and talked to support multiple times. It's a well-documented and reoccurring issue that MS has not fixed yet. ¯\_(ツ)_/¯
I question how much peace-of-mind self-driving cars bring to the intersection situation. While the inattentive human drivers are annoying, they're also predictable. As a pedestrian, I just wait for the driver to look up and go (or stop) before I proceed. The behavior of self-driving cars is, in my opinion, much harder to predict. Who knows when the buggy control software will cause the car to slam on the gas? Of course the software will be carefully written and tested. However, anyone who writes software for a living knows that carefully written and tested code often goes against economic incentives like "release fast" and "add more features to sell more".
When you use a true doughnut stuff drifts toward the outside of the doughnut. You have to up the current constantly to keep it from drifting toward the outside of the doughnut.

If you make a doughnut twizzler it doesn't happen.
Based on past experimental data, we use ML to predict how effective a given CRISPR target site will be. This information is very valuable to our clients.
Think about it this way: people who leave an ecosystem for mostly-aesthetic or status-signalling reasons (e.g. a small touchscreen replacing some keys they don't use, making their favoured device appear less 'professional' according to people who've never used it) are likely willing to discard other options for reasons that are just as petty.
Are you sure that it's not sitting in a bullpen next to the sales guys? I know that ducking footballs and ignoring constant shouting really make me and the other 20 devs here more productive.
I think the downvotes may be that you're posing a rhetorical question based on a sample size of one. As opposed to spending 15 more seconds to try a few more things and saying "I tried 10 commands, nothing worked" or "I tried 10 commands, works great, but Ctrl+C is broken on Windows and that really needs to be fixed"

My experience with the Zeit team is that they're very responsive and interactive via GitHub - I'd be surprised if the issue isn't fixed soon
It's reasonably easy (not trivial, not impossible) to track the trades of hedge funds, since they do have to disclose their transactions. And some guys will even tell you! [1] [2] [3]

Why they make their decisions is another question.

[1]: https://www.bloomberg.com/gadfly/articles/2016-09-14/herbali...

[2]: http://etfdb.com/etfdb-category/hedge-fund/

[3]: https://whalewisdom.com/
Thanks for the link to that paper -- I hadn't seen that. I agree that SR and learning in context are not mutually exclusive--but they're challenging to integrate. Duolingo is not a good example -- they teach through random sentences, out of context.

Your examples - concrete nouns - are where you miss the least by simply mapping onto English. But I would suggest that this is the very easiest part of learning a second language.

I think many learners underestimate how much of language is not derivable by plugging vocabulary into grammar rules. There's so much that is just "that's how we say it". And you need to pick that up in context.
The "solemn girls' choir" was particularly moving and powerful when it was used for Suo Gân in Empire of the Sun (and it was a boys' choir in that film). Time hasn't been kind to that one for me (though it still fares better than the creepy five-year-old).
Yes, and it's still not production-ready, in my opinion.

Ruby gems are still problematic, for example.

They're working on it, but it's not there yet.

Oh yeah... and to the part of your comment where you say it works even better than on a Mac? Not even close. The Mac works so much better than WSL, it's not even funny. Like I said... they're working on it but it's not there yet. :)
In the textbooks and online resources I used to learn molecular bio, the term junk DNA was used liberally
What a great film.

Radio Announcer: "Warsaw Pact forces are close to announcing a cease-fire along the German border. There are still no eyewitness accounts to substantiate the rumor that low-kiloton range nuclear weapons were detonated this morning during the conflict, resulting in the reported destruction of Wiesbaden and the outskirts of Frankfur..."

[electronic alarm cuts in]

EBS Announcer: "This is the Emergency Broadcast System. All persons currently in transit in the Kansas City metropolitan area are advised to proceed immediately to the municipal shelter facility in the community or township closest to your current location. While there is no immediate danger to the Kansas City area, the Federal Emergency Management Agency urges you to learn the steps to be taken in the event of a probable attack."
It is popular outside of google:

https://youtu.be/VBbejeKHrjg?t=9m22s

ING, USA Today, IBM, General Electric, Comcast, Net-A-Porter, BBVA, Coca-Cola, Electronic Arts - one of the biggest players in their industries.
MySQL Group Replication: It’s in 5.7.17 GA
Getting real time market data is not cheap and with good reason, there are many companies/firms that rely on that data to make money so the exchanges and other 3rd party companies that have access data can sell for high prices. If you want delayed prices there are a bunch of places to get that (Google and Yahoo are two major ones) but other than that I would not trust real time data that is from a free/cheap provider.
We use deep learning at attentive.ai to generate alerts based on unusual events in surveillance video.

We use neural nets to generate descriptors of videos where motion is observed, and classify events as normal/abnormal.
Why is there no "clear" command?
When people talk about the growth (or sometimes 'excess') of ML solutions these days, I always wonder about this.

A basic linear regression probably isn't ML, a backprop neural net clearly is, but somewhere between the two is a very fuzzy line between "statistics and data cleaning" and "actually machine learning". I think a lot of people have just pushed the ML angle of an already-reasonable approach to tie into that popularity.
I just read the paper and it doesn't say or imply anything about lag.

Can you point me to any evidence related to the title, i.e., Pixel lag is 10x worse than Moto Z?
It's not a "proxy metric", it's the only possible metric for inclusion in an encyclopedia as I understand encyclopedias. I saw the example of a mildly popular band somewhere else on the thread, so I'll run with that.

What can an encyclopedia say about a band that has a website and a Spotify page, but isn't big enough to attract attention from the press or music critics? We can certainly say that they are a band, anyone can see that. We can say they have 10,000 plays on Spotify, and list their current members. Maybe we can dig up a newspaper article saying that they performed someplace. But beyond that, what is there? They've probably got a biography on their website, but it's in no way verifiable, and the only person required to believe it is the guy putting it on the Wikipedia page. Everyone after that will read it on Wikipedia and assume it's 95% likely to be true. And so on. We're left with barebones facts that are of no help to anyone looking for reliable information about the band. All of this applies equally well to little-known authors, random Indian corporations, and your cat. If all we have to go on is a couple of primary sources and maybe a passing mention in the press, what is there to say without giving undeserved credence to the primary sources?

When notability is assessed, don't think "is this topic something that will be googled by someone looking for more information?" Think about the role of Wikipedia and what we can offer by providing an overview and references to secondary sources. The notability guidelines are about ensuring that there is a baseline of quality facts that we can provide to readers.

But really, I'm just rewriting the ideas of the consensus based notability guideline, which is much better written and specific: https://en.wikipedia.org/wiki/Wikipedia:Notability
Show HN: Pacman Trainer – Shows Ghosts Targets and Cruise Elroy Mode
late reply but I have several AC lites that I have purchased. If you don't mind the fact that it is only 100M ports its more than anyone could ask for in the home.
This definitely appeals to me for its simplicity, but the major downside to this approach (for me) is that you can't (easily) draw pictures.

So often when I am taking notes, the notes involve diagrams. Markdown is great at text, but has nothing for diagrams.

After a lot of thinking about this problem, I've decided to start using an iPad with an Apple Pencil and Microsoft OneNote. Here is an example of some notes I took when thinking about an AudioUnit plugin that would dilate time:

https://1drv.ms/o/s!AtbMnk02vU5DgQBbmSeyPx9zd1Dn

VimWiki is definitely very cool. Just sharing this in case anyone out there has the same concern as me about drawing diagrams.
> I suppose google search business model in a post-adwords world could also be "we have enough cash to run this service until everyone currently alive is dead".

But they only have this money because of AdWords. That means that, in this world, Google would still exist, but no-one could come enter the search space to compete with it—and surely that's not a desireable outcome.
I've used this a couple of times: http://papaparse.com/
I understand why the Ruby community has warmed up to Elixir and the Phoenix web-framework, however, I'm curious what the advantage or use-case of having Ruby talk to Elixir in an application is?
That all sounds awesome and impressive, but I have the same problem with it that I have with any of the previous neural network hedge funds or, for that matter any of the 24-hour business news stations:

* If you truly had the ability to predict the price direction of ANY stock/fund/option in ANY consistent time frame (24-hours/week/month/quarter/year) ahead of time, with ANY accuracy greater than a coin flip, it would be ridiculously easy to turn this information into piles of cash.

So, if you are NOT talking to me from atop your piles of cash, I have to assume your accuracy is no better than the flip of the quarter in my right pocket.
> excuse to blow stuff up and chase around cars.

Is that such a bad thing?

It had a guy playing electric guitar on top of a giant flamethrower, because that's the kind of movie it was.

Maybe not for everyone, but I thought it managed to do what it was trying to.
Sure, but look at it this way - with other solutions like lets say React their virtual dom is your "polyfill".
Even with polyfills polymer is MUCH smaller than react core ;-) I don't see it as a problem as I've created elements that worked in IE10+ with it.
Right, so does that save the model to some kind of dump file? I'm wondering because obviously your typical database has no ML Model datatype.
In my experience, general practitioners will diagnose you as having the most common illness which exhibits symptoms remotely similar to yours; if you have anything except diabetes/acid reflux/high blood pressure, they will never find/investigate it. WebMD is a far more reliable diagnostic tool than the average GP (for every non-hypochondriac who can use the internet).
It is probably the 'significant coverage' part of the second bit that makes it more subjective. The subjective part of verifiability is whether a source is reliable, while notability has two subjective parts; whether it has verifiable sources AND whether there are enough of those verifiable sources.
Thanks! Just pulled the trigger on this. The monitor-use-case reviews were compellingly positive. ($25 VisaCheckout coupon almost offset CA tax and recycling fee).
Investing like this it is like implementing Texas Holdem Poker AI without knowing history of previous hands and your opponents attitude. Just won't work, all marketing around it is just a bubble.
ZeroStack takes a look back at its first full year in the data center market
The problem is, everything we've heard out of the military with regards to the F-35 is that it's poor at everything, and will lose in fights with enemy aircraft that are decades old. The idea that we're spending hundreds of billions of dollars on aircraft that are worse than what we already have is amazing.

We do need new aircraft, but that doesn't mean we need new F-35s. We need to cut our losses on the F-35 program (as monumental as those losses are) and start developing a set of task-built aircraft that are each designed to fit their role extremely well, rather than a one-size-kinda-fits-all option like the F-35.
Seenapse :Inspiration Made Accessible
$10,000 per year?? That sounds... incredibly high. Insurance is maybe $1k? (I pay ~$650/yr). Fuel maybe another grand? (I've paid ~$750 year-to-date). Repairs can add up, but I don't think I've spent more than $1k in a year on repairs for my 23 year old car, which I bought for $2.5k three years ago.

10k a year only sounds reasonable if you're making payments, and I suspect the amortized cost once you (eventually) sell the vehicle will be much lower.

Granted, this is only my own experience, but considering it's so far off from 10k makes me wonder how accurate that statement is for the general population.
This article is fantastic, and really brings together the thoughts I've heard expressed about this in a way that is mostly accessible. I think it's a bit dramatic though. It seems like people in every era look back and say "Why don't we create things with the same care things were created with in the past?" The existence of the question implies that what is being made now is somehow worse than what has been made in the past.

While it's possible this is true, I think it's more likely that this is just survivor bias at work. Nobody remembers the terrible summer blockbusters from years past. This years robots destroying cities were the Westerns and Noir of years past. Everybody remembers Casablanca, and The Good, The Bad, and The Ugly, and these titanic movies overshadow the Noir and the Westerns that they were deconstructing. At some point somebody is going to make The Searchers of robots beating everyone up, and another genre will step in to the role of mass-market crap.

I think the actual argument in the case of the "BRAAM"[1] sound is that Inception is a genre defining movie, on the level of Jaws or Il Brutti. It's become a shorthand for Earth-shattering collisions, in the same way Sergio Leone's soundtracks are synonymous with the west, and the Jaws theme is synonymous with being stalked. You already hear people imitating it to give additional context to stories.

[1] Sidenote, because it bothers me: The sound seems much closer to "BWAAAAA" than "BRAAAAM". This is not important, but it bothers me.
>"China seems mainly interested in its own borders, ..."

Yes, clearly they're building those island bases in the South China Sea just because they feel like they don't have enough oceanfront real estate. /s

https://www.google.com/search?q=china+island+bases+map
I've got a laptop that I hate using precisely because of it's awful trackpad. Anymore I use it only for watching old episodes of adventure time and playing sega genesis games.
Something sort of like it already exists; it's called a 'Featured Article' badge. But since there is an expectation that every article should eventually reach 'featured' status (or at least it should be possible in principle), it doesn't have the result you'd expect.

And why wouldn't people have this expectation? Why keep an article at all if it's just going to lie there and gather dust, unmaintained and exposed to vandalism?
Non-Uniform Random Variate Generation
I'm of the firm opinion that if supply was to get so scarce, we'd find an alternative tech solution. The economics just work out that way.
Did you miss the part about the next four things I tried also being broken along with the github links in which I filed the bug reports?
How the internet keeps poor people in poor neighborhoods
We're a computer vision company, we do a lot of product detection + recognition + search, primarily for retailers, but we've also got revenue in other verticals with large volumes of imagery. My co-founder and I both did our thesis' on computer vision.

In our space, the recent AI / ML advances have made things possible that were simply not realistic before.

That being said, the hype around Deep Learning is getting pretty bad. Several of our competitors have gone out of business (even though they were using the magic of Deep Learning). For example, JustVisual went under a couple of months ago ($20M+ raised) and Slyce ($50M+ raised) is apparently being sold for pennies on the dollar later this month.

Yes, Deep Learning has made some very fundamental advances, but that doesn't mean it's going to make money just as magically!
> How are external links in Wikipedia articles maintained?

Until recently, "not very well". Recently, they have been doing https://blog.wikimedia.org/2016/10/26/internet-archive-broke...
Android 7.1 is supposed to have updates to the graphics stack that improve input lag. Apparently the Nexus devices went from 48ms lag to 18ms lag with the release.
As a vim user, I have to disagree with the "Not vim" part. Learning only vi would lose too many of the advantages of vim.

Use vim, learn vim all the way. If/when you're working on an "old" vi (e.g. the one in busybox, for embedded developers), you'll need to drop some of the more advanced stuff, but you'll still be able to do what you want, edit some config file or such, though it may feel a bit awkward at times.
But when you're doing the heavy editing, you really want to use all of vim.
>Automating trucks would be much more trans-formative than cars

This is already in-progress and isn't that transformative. To most people the delivery or long-distance truck drivers pretty much are invisible driver less machines.
> I went to my boss and said, X is carrying my team, he does more than any two other developers combined. He needs a raise, I can't lose him! And he got it.

How much was the raise?

Because giving 10% is easy. But when it comes to giving 50-100% there is suddenly zero support from the organization.
Right? I feel like if I am clicking on a link to read about something on wikipedia, it is 'notable' enough to me. If no one looks at the wikipedia article, then you could say it isn't notable... but then, who cares? A few extra bytes on the server that no one looks at doesn't hurt anything.
The TOTP seed storage dilemma
NVM, deleted
It's probably too early to make that sort of assumption. That said, I can easily see the day coming when Alphabet decides that 100% autonomy or bust is looking like a very long horizon play without any clear path to productization on Google's part. Which could lead it to either shut things down, redirect them to a more modest play, or figure out some partnership/licensing agreement (though the latter certainly hasn't been in its DNA to date).
To be fair, I live in the such a country. Only, in my case, it is Norway, so it is kind of different altogether.
The money-shot:

https://www.youtube.com/watch?v=MrHoMSRZOS4

(Warning: not for the faint of heart)
You seem to be missing a key point, which is that the definitions of racial bias are and have always been contentious and up for debate. The definitions have always been in flux and have evolved heavily over time. This is basically true for many politically contentious topics, as different parties repeatedly try to redefine and reframe terms to their advantage.

If you insist on precise language, then we basically can never have any conversation about race, racial bias, or any other topic where the terminology hasn't been completely nailed down.