skysight-inc/HackerNews huggingface dataset:
AlphaGo Zero did precisely that. Most of its computations were done on a huge array of GPUs. The problem with Go is that look-ahead is more of a problem than in Chess, as Go has roughly between five and ten times as many possible moves at each point in the game. So Go was more of a challenge, and master-level play was only made possible by advances in computer hardware.
Learn Deep Learning in 6 Weeks
>Make Your Bed

Reminds me of this: https://www.youtube.com/watch?v=U6OoCaGsz94
Setting Up a Drag and Drop Component for Mobile
I would put ocean acidification on par with or being worse than global warming by itself.
See: https://testing.googleblog.com/2016/12/announcing-oss-fuzz-c...
Tangentially - no scifi books have worked on my mind in the same way that the Three Body Problem trilogy.

https://www.amazon.com/Three-Body-Problem-Remembrance-Earths...
Such a law will not survive a Constitutional challenge. Just rent seeking by an incumbent.
Never Mind the Millionaires. Here’s Advice from Billionaires
This looks really well designed -- but the performance numbers seem slightly suspicious to me.

Both Dropbox and Aspera do UDP + compression + retry so very curious to see how you are able to get such a drastic improvement -- are you using a special form of compression?
The first move over law was enacted in 1996 and they didn’t become standard until the 2000s. Believe it or not, a lot of us went to driving school before that.
I think the most important question is what 'winter' really means in this context. The new concepts in AI tend to follow the hype cycle so the disillusionment will certainly come. One thing is the general public see the amazing things Tesla or Google do with deep learning and extrapolate this thinking we're on the brink of creating artificial general intelligence. The disappointment will be even bigger if DL fails to deliver its promises like self-driving cars.

Of course the situation now is different than 30 years ago because AI has proved to be effective in many areas so the research won't just stop. The way I understand this 'AI winter' is that deep learning might be the current local maximum of AI techniques and will soon reach the dead end where tweaking neural networks won't lead to any real progress.
"Stop eating so much red meat" - What the American Cancer Society should be urging.

https://www.health.harvard.edu/newsletter_article/red-meat-a...
I'm curious how much this affects the price. I'm not a homeowner any more, but when I was, I longed to replace my furnace with a ground-source heat pump. It is not too much of an efficiency win over gas for heating, especially since we used little heat, but it's great for cooling. But I was really put off by the price. There was no way to justify it even under the most pessimistic assumptions about energy prices, except perhaps if my furnace and AC were to break at the same time.
From my experience, it feels like people just don't care at all about it.

My resume has a section "Achievements" with "StackOverflow: top 2%, 300 answers" with a link to my profile.

IMO a good StackOverflow profile shows:

1) A skillset

2) A proficiency to solve real life problems (quickly) just by reading (incomplete/wrong) problems description

3) Good communication skills

4) A self-motivated and passionate person

Well, nobody never said/asked anything about mine. As if every one of their candidates had 10k points on StackOverflow.

I still had to pass really stupid/basic tests for jobs I'm obviously competent for.

Worth noting I also have 7 years of xp, including xp as tech lead. And a master in CS.
The IP law is related, it protects some people or companies IP, publishers have to follow it, have to respond to DMCA, people in other countries can go to jail. But people that want the IP laws think that my private data should not be mine and not be protected, because it should not be or because it is not easy. Responding to DMCA claims, making sure to use the right licenses for software and assets is not easy either so why is one liked or at least respected by startups and companies and other disliked?
I think it's completely possible AI can surpass our intelligence.
Whether it's outside of our awareness or control, not likely.
Apparently the USSRs horse in that race was that it was heavily under reporting its catch by at least an order of magnitude, so it’s unsurprising they’d have common interest in that area.
> Still, using ip addresses to try to determine where a request is originating from is not a good idea

How else should they do it? I concede it is not foolproof nor ideal - but for websites which you've not provided your location to yourself, how is it possible for them to determine whether or not you are in Europe?
> In fact, one basic result in the theory of cheap talk is that if you assume the cheap-talker will do what’s best for him and worst for you, you can often get him to reveal more of the truth.

This is basically the definition of enemy.

These people are your enemies.

By that I mean, in the context of fair wages, employees ought to treat executives as enemies, not as slightly conflicted parties with slightly divergent interests. To win the pay he or she deserves, the employee must have both resolve ("I don't want this person to beat me") and clarity ("this person would gladly pay me half of what I make"). Mind and heart must be ready to fight, thus the word "enemy". A dangerous label but sometimes, a courageous one.

Pretending that these people care about your best interests, that they'd be willing to sacrifice a little because they're so forward-thinking, smacks of conflict-avoidance. I.e., "Oh my boss's boss is just trying to minimize and maximize like any rational actor. It's normal. Happens to everyone. I'm scared!"
I know right, the school I went to wasn't exactly the best.

I skimmed through sections 4 & 5, optimization processing was difficult to understand.

When I was in elementary school, I remember pitying the mentally disabled children, knowing their financial success was destined, so I connected with the g-factor definition. I really think general intelligence is more of a sense of all clusters awareness, whether it be social or cognitive. I've met tons of great students in Math courses who simply cannot converse with the general public. I've also met tons of people on the streets of my city who would have a difficult time understanding high school algebra.

As for Section 5, I do think the rise of AI over humanity is completely in our grasp. I really should take a course on the subject before I sound like the people that I'm criticizing for ignorance, but from a general perspective, I cannot see it outside of our control. As Eliezer said, we can make predictions, but only time will clear the fog.
Could you elaborate? Most of us are not super well versed in constitutional law.
A lot of the comments here are arguing for or against the author's specific choices, but I would like to point out how great it is that Linux desktop environments are this customizable in the first place.

I recently switched back to Linux after using a Mac for a couple of years, and was blown away with how far Gnome has gotten in terms of customizability -- even if most of it is done through extensions. Moreover, if you can't tweak it to your liking, perhaps xfce or i3 or KDE will prove more accommodating...
Let's read the actual document then shall we? It's written in plain enough language for anyone to understand: http://ec.europa.eu/newsroom/just/document.cfm?doc_id=47889
20m is one of the two ceilings (the other being 10m) for fines, and in several paragraphs in the document I linked the principles of discretionality, effectiveness and proportionality are stated.
If a regulator tried to levy a $20m fine against a startup for a first offence, there would be a strong case to appeal the ruling at an EU court
MLB has discussed robot umpires, tackier baseballs
Yeah, but their other Science headlines are weird:

- "Ancestor of all living birds survived asteroid strike because it couldn't fly"

It's wrong, on so many levels, I don't know where i should start. And since it's the only science article on a subject i have knowledge on, i'm now wary of the other article, as i should be.
> I think the difficulty of creating cryptosystems is a bit exaggerated in this piece; I think we haven't seen much diversity in the past, because diversity was bad for public cryptanalysis, but there are six different approaches listed on the wiki for post-quantum crypto

The difficulty is not really exaggerated, and diversity is still bad for public cryptanalysis. The main approaches of post-quantum cryptography utilize very advanced mathematics and very different algebraic structure. We can use basic probability theory and game theory for basic modeling, but it's very hard for us to compare and contrast relative security for algorithms variously built over polynomial rings, modules, Galois groups, lattices, supersingular elliptic curves and error correcting codes. There is some linear algebra featured in all of this, but very few people are sufficiently well trained in all of these mathematics to consider them on equal footing.

Researchers don't like this diversity. It's hard to competently analyze the advantages and disadvantages of systems with wildly different mathematical underpinnings, and you have to keep up with a lot of new material just to stay competitive. In contrast the literature for hashes, block ciphers and stream ciphers is relatively sane and unified; and at least for classical public-key cryptography you only really have to wade into number theory. The result is that the research landscape of post-quantum cryptography is pretty fractured into tribes of mathematical lineage.
Is there any connection state that is not stored in pg_settings? You can check that table to see what settings were overridden in the session.
Although we do chunk the upload and send the chunks in parallel to the server we do not at this point have the recover functionality implemented. We are able to recover from a disruption in internet connectivity with retry logic in javascript but if your computer crashed completely we would not recover. That is on the roadmap and expected to be released in the next couple of months though.
Look at sports... I've seen both cases, players that are good within one system horribly underperforming in others, and players that don't look that great meshing with other castouts and creating a surprisingly good team.

I suspect the same can happen with software developers.

Of course, there are people that will be bad anywhere and top guys that will be great anywhere.
I wrote more in my sibling comment. I generally agree that there aren't any strict guidelines for becoming a good team, but I disagree that replacing most of the team is the solution in any but the most extreme cases. I would venture a guess that, most of the time, there's one person to remove and one person to add: a new leader. If that doesn't solve the problem, potentially looking at developer contributions and seeing if there's someone who isn't pulling their weight and has no interest in learning how to. (I've only encountered these types of people a handful of times in my career. Most of the time it was shoddy leadership)
Two observations:

Just because Fischer preferred 1. e4, it doesn't make it better than other openings.
https://en.chessbase.com/post/1-e4-best-by-test-part-1

Playing like a human for me also means making human mistakes. A chess-playing computer playing like a 4000 rated "human" is useless, one that can be configured to play at different ELOs is more interesting, although most can do that and there's no ML needed, nor huge amounts of computing power.
KeyMe now adds a vetted locksmith list to key copying kiosks and app
Say Goodbye to Mixpanel. Meet Banias
To be fair, 200X was the Year of the Linux Desktop for us Linux users.
There are two sides to this:

- how good humans are in detecting cancer (hint: not very good) and if having an automated system even as a "second opinion" next to an expert might not be useful?

- there are metrics for capturing true/false positives/negatives one can focus on during learning optimization

From studies you might have noticed that expert radiologists have e.g. F1-score at 0.45 and on average they score 0.39, which sounds really bad. Your system manages to push average to 0.44, which might be worse than the best radiologist out there, but better than an average radiologist [1]. Is this really being oversold? (I am not addressing possible problems with overly optimistic datasets etc. which are real concerns)

[1] https://stanfordmlgroup.github.io/projects/chexnet/
I would rephrase it from "mediocre results" to "good enough results" - not everything needs to be a work of art. Especially in the startup world, where there's never enough people to go round, there's a huge value in knowing when you've done enough that the project you're working on is no longer the thing that'll deliver the most value.

What agile does when executed right is to fully embrace that, and wrap it in a process that ensures that when you reach that point you're able to finish the current iteration, ship what you've got, and move on leaving things in a good enough state. For me that's the core of agile, and in my experience at least you can't pull that off with a mediocre team. You need a team where at least some members have the experience and the pragmatism to know the difference between delivering a minimum viable product and cutting corners in a way that'll hurt in the future.
I'm in San Marino, I can read the page, and San Marino is not EU but it is in the scope of the GDPR law.
My very fuzzy impression is HS friction is more roughness and debris than adhesion?[1]

[1] "Bridging from Atomic Forces to Macroscopic Friction" http://online.kitp.ucsb.edu/online/suspensions-c18/robbins/ . And the preceding "Contact of rough solids" http://online.kitp.ucsb.edu/online/suspensions18/robbins/ . Robbins also has an old 2004 AJP article "Understanding and illustrating the atomic origins of friction" http://dx.doi.org/10.1119/1.1715107 , but I've not skimmed it, nor explored its cited-bys for something similar but more recent.
As marijuana goes mainstream, what\'s happening to the way we talk about weed?
I don't think he's lying. But the reasons he wants GDPR are probably just as calculating as you would expect:

1. They already had to do most of this work for GDPR already so the cost will be lower

2. By saying this, he can be invited to meet with legislators who will shape the law.

3. Smaller competitors or startups will be discouraged from entering the market due to an increased regulatory environment (similar to PCI)

it's still probably a good idea but skepticism (and even cynicism) is certainly warranted
Just make sure to wear a burqa when entering the shop, then everything should be ok.
Not really. Generally, the wheel you need and the wheel I need are a bit different. Instead of using some bloated "all-wheel," developers choose their custom wheel.

Simple example, SyncMap. This is a general purpose all-wheel, and as such, due to Go's type system, you have to use runtime type assertions against it. If I need a lockable map, I just make one and it is of the type I need, say map[string]*Foo. I just wrap it in a struct with a lock and I'm done.

For more complicated things, most everyone will pull in a package. I'm not going to waste some time making a Redis or Kafka package. For a web server, I may pull in a different muxer, but only if needed.
If a European butcher takes notes on his customers using a paper notebook or Excel, are these different modes of data-management subject to GDPR?

How are you about to answer that with US IP law?
The hope is that in a new regulatory landscape we will see the emergence of new companies. Just because the tech unicorns of the last 10-15 years, like uber and facebook, were backed on odious behavior doesn't mean that a more palatable business model won't be discovered.
Always check the online reviews before going to any doctor. A bad doctor with zero ethics might be tempted to do a "rush" job on you. If you want to know what that experience would be like, click the link below:

https://www.youtube.com/watch?v=SmW9Pl7R1dc&t=238s
It's consistent to both want to change the rules and also to play acording to the current ones.

You can think that taxing property is better than taxing income, but you still pay what your state says, not more, not less.
The History of Flat Design Patterns in Mobile
"it is striking that the system spent long seconds trying to decide what exactly is sees in front (whether that be a pedestrian, bike, vehicle or whatever else) rather than making the only logical decision in these circumstances, which was to make sure not to hit it."

That is striking. It always sort of bothered me that AI is really a big conglomeration of many different concepts. What people are working on is deep learning for machines, but we think that means "replicating human skill/behavior". It's not. Machines will be good at what they are good at, and humans good at what they're good at. It's an uphill battle if your expectation is for a machine that processes like a human, because the human brain does not process things like computer architectures do.

Now, if some aspiring scientist wanted to skip all that and really try to replicate (in a machine) how the human brain does things, I think such a person would be starting from a very different perspective than even modern AI computing.
You are allowed to use it and even keep it without consent if anything the GDPR wants to separate consent from data processing.
https://eugdprcompliant.com/personal-data/

You can maintain the records of an IP address (as well as other PII) for business needs e.g. security or to enforce other requirements such as geoblocking even without explicit consent of the user it's all about why you and what do you with it which is why legal/lawful grounds exist.

https://ico.org.uk/for-organisations/guide-to-the-general-da...

Also for the most part if you do not have a lawful basis for collecting or processing PII consent is not a sufficient reason to so.
Nice article, and impressive sample pictures. Now I want someone to write an article about a low-cost sensor that I could use to turn this into a digital pin-hole camera!
Worst case amazon price (uncompressed + Inter-Region cost + transfer acceleration) is around $0.12, so $0.03 for the Service
Cool stuff. the code looks amazing!
Do Founders Control Startup Firms That Go Public?
> there is no medium for the transaction

Yes there is. They're called Dollars.
You'd think that LaForge, or at least Crusher the younger, could do a hoppin' side-business with just one replicator hacked to bypass the nanny functions that turn alcohol into synthahol and chocolate into cocoa-flavored nutriment.

I saw that in the new Lost in Space series, where the 3D printer refused to print a firearm in an emergency, and thought to myself, "ohhhh no you di'n't!" In my mind, I was already patching out the DRM function, or adding stray non-functional voxels to fool its pattern-matching.

That was one of the things I disliked most about TNG, where humanity intentionally crippled itself by installing nannybots everywhere. DS9 brought some of the dirty reality back, with Ferengi-run gambling and holo-prostitution and cops that were actually people. Or goo pretending to be a person, anyway.
I wonder, how "compatible" this is with solar.

I.e. if you install solar by itself, you save X dollars/month. If you install this by itself, you save Y dollars a month. If you install both, is it close to X+Y, or is there some substitution there?

On one hand, you can sell solar back to the grid, but you can't always sell it back at retail, so I would guess your savings would be smaller, but how much smaller? Or would you be able to achieve the same ROI with a smaller rooftop solar installation?

TBH, I'm not really a big fan of rooftop solar, it seems like a hack to deal with shitty environmental policy that undermines the electricity grid itself.
When has deBeers not taken any and every route to maintaining their cartel?

Admittedly their marketing scheme is under a little more pressure with the various articles about their "interesting" past and price fixing schemes, but that's a drop in the bucket compared to their decades of propaganda.

They will find some way, openly or through any back channel they can find or manufacture, to control as much as they can. Plus or minus further monitoring and exposes.
Average or median, the more fundamental problem is that this number is just wrong. Wedding industry statistics are spin from wedding-industry-affiliated companies, who have a tremendous incentive to convince you that it's normal to spend this kind of money on your wedding (as an average U.S. household--make sure you spend more if you are above-average!).

The source here, valuepenguin.com (which is trying to sell you wedding insurance), cites three data sources. Once source is no longer online. The other two sources (TheKnot and Costofwedding.com) claim to have conducted surveys. But The Knot just surveys people on its own website (not representative). Anyone want to venture a guess as to whether a representative number of courthouse-ceremony-and-lunch-buffet-afterwards weddings are counted in these figures?[1]

Meanwhile, Cost of Wedding is "owned and operated by The Wedding Report, Inc." and reports the results of a survey The Wedding Report did. And The Wedding Report has this gem in its methodology description:

We take a bottom up approach to "Average Wedding Cost." The total "Average Cost" is calculated using "Weighted Demand Average (WDA)," which is; average spent times demand equals the weighted demand average. Sum of weighted demand average for all items equals the average wedding cost. Using WDA instead of a summed average gives a better calculation, because it takes into account all items that couples may or may not purchase.[2]

As far as I can tell, this means the average cost is calculated by first determining average costs for each item you might possibly purchase, and then adding them all up as if every couple purchases every item! Umm... no. That's not how you do math.

[1] "Respondents were recruited throughout the year from TheKnot.com membership." https://xogroupinc.com/press-releases/the-knot-2017-real-wed...

[2] https://www.theweddingreport.com/index.cfm/action/home/view/...
In terms of cost there are certainly cheaper ways to accomplish transfers. MASV is designed to be very fast and we have 9 servers across the world to enable transfers anywhere. If your doing local transfers your own file server is likely good enough but if your sending hundreds of GB's cross country or across the world you will likely run into major performance issues. It really comes down to how much your time is worth and if file transfer are a consistent requirement for your business. This is certainly intended to be a B2b tool less for consumer use.
That last point is simply working software _over_ documentation, meaning that in a world of finite resources what would you rather have? A pile of requirements and technical design docs _or_ a working product? All teams need to determine the right amount of documentation that maximizes total output of working software, but agility was--in part--a response to analysis paralysis and high overhead of many software implementations of the time.
> Just rent seeking by an incumbent.

I disagree with the immediate labeling of a potential consumer protection law as "rent seeking." Such an attitude totally excludes any improvement in the consumer privacy situation, unless it's an act of benevolence from adtech; which is to say that it totally excludes any privacy improvement ever.
I don't see how our roots are not in Africa. Hominids originated there. Maybe some of the species branched off on other continents, but their ancestors still migrated out of Africa. Is this even a controversy?