skysight-inc/HackerNews huggingface dataset:
Heaven forbid said company should use that quality to build their brand reputation, charge more to funnel back into R&D to create another product to fulfill a different consumer need, grow, get more profitable, and continue the virtuous cycle. That'd be, like, justifying capitalism or something.
I've always been borderline obsessed with Finland and Norway. It's easy to say the US should be more like them but they have the big advantage of being much smaller and MUCH more culturally homogeneous.
Hash indexes are not WAL logged in Postgres so they are not replicated and will not survive non-graceful shutdowns, i.e. if the server crashes you have to rebuild it from scratch. As such, they're not recommended unless you know exactly what you're doing.
>c) they didn't have any modern electronics. All failures were mechanical, while today they are electronic (and usually non-reparable, only replaceable).

I used to worry about this, but we bought a high efficiency front loader anyway. After 4 years we've replaced: Door gasket - ~$80, and Pump - ~$50. Once, the front control panel started misbehaving and I thought for sure the machine was done for. But I looked and found that a wire harness had worked its way loose, and one of the wires was rubbed almost in two. I repaired the wire and the machine returned to normal. My opinion is that parts are generally available, and that these machines are as simple to repair as any older machine.
The big companies that already have a presence in multiple European cities won't have a big impact on staff. Take Google for example, people staying in London can keep working at that office, people that want to leave (or are forced to leave) can work in many of the other European locations (e.g. Berlin, Paris, Zurich, Vienna).

Smaller tech companies will probably be hit the hardest if they only have a London presence and they lose half of their employees. Depending on the employee composition, it may even make sense to move the company entirely to another country in Europe.
I doubt this will use deep learning though. DL works best at detecting patterns in large quantities of data, whereas the time series data here is limited to just a few years...and the system has changed over those year, and continues to change significantly. I'd guess that 10% is the cost of ensuring supply, i.e. spinning up generators as contingency - any attempt to shave saving from that may increase risk of power outages. Doing so while maintaining the same power outage risk is the goal here, but I think it would be hard to prove that some new clever strategy has the same risk levels. In this respect 10% sounds ambitious to me.
When the drum inside a top-loader spins to drain the water, it uses centrifugal force to squeeze the water out. This means it spins extremely fast.

For example, this model spins at 710 RPM

http://www.aaxon.com/blog/194-speed-queen-top-load-washer-vs...

However someone else pointed out that if they don't lock the lid, they might engage a brake and stop the drum's spinning if the lid is opened. This achieves a similar goal.
A new kind of doctor's office charges a monthly fee and doesn't take insurance
Would you also argue that AirBnB does everything hotels do, as well as a website?
Oh right, that's scary! In the case of corruption would the index just be rebuilt (I realise that's a big problem with big indexes) or would it just silently corrupt query output?
> but it spreads because a lot of people really do believe what is being reported, not because they necessarily want to spread fake news.

Similar to how some aren't looking for news, but affirmations of their political beliefs.
Good point. Would an oil-based transport fluid mitigate that to some degree, or is the organic nature of cellulose going to be a liability to hurdle to making a durable component regardless of the fluid used?
This title misses the following words; "suggests they can", "proposes to", or my personal favourite "something something ai solves all your problems"

come on folks, we can be better than this.
1. Everyone is born with the ability to trust, and to distrust. Many people suck at trusting others (i.e. they trust too much people who aren't trustworthy, and trust too little people who are), that's how you get abusive spouses and unavailable spouses. Trusting some news outlets and distrusting others is no different from dis/trusting people. The problem of people trusting the wrong things has been a problem throughout history, and the solution has to be psychological. Mandatory therapy for every citizen? Won't happen.

2. Teaching kids to spot "fake news" at school is laughably impotent and "feel good". People believe fake stories because they're emotionally-invested in the subject (see PG's "keep your identity small" post). Anyone that thinks we can solve fake news through "critical thinking skills" is... fake news. The problem is emotional involvement. If you're emotionally involved in a story, you won't want to use critical thinking.

3. You can get people to change their opinions, e.g. from climate-denial to pro-science (through using their cognitive dissonance against them). That's how you got Sanders converting Trump supporters at a recent town hall[0]. You haven't made them more rational, you've just taken their emotions, which pointed one way, and made them point the other way. So, if you want to make people trust "the establishment" or the Democrats more, you don't need to fix points 1. and 2. (which require fixing people), you just need to learn about cognitive dissonance and persuasion. But that doesn't solve the core problem of not having an informed population.

[0]: http://www.politicususa.com/2017/03/13/bernie-sanders-storms...
The DeepMind datacenter project was very interesting, but a lot of the ML people I spoke to were quite dubious about how much of it was genuinely down to new AI/neural networks, and how much of it was Google PR to justify how much they spent on DeepMind.

> DeepMind trained a neural network to more accurately predict future cooling requirements, in turn reducing the power usage of the cooling system by 40 percent.

But when you look at the DeepMind blog post (https://deepmind.com/blog/deepmind-ai-reduces-google-data-ce...), it looks like the 40% model is comparing to a baseline of doing nothing. So the question is : is this really something you require an AI research powerhouse like DeepMind for, or is it something a regular data science team could do?
Experts are easily corrupted, and so there's an expert to argue every position.
No one is talking about taxing the poor. For the vast majority of Americans, there tax would remain the same. Its the 1%, and especially the top .1% that are going to need to pay, as they are the ones hoarding the wealth.
> The concept of being able to pay a debt to society and for that to settle the books, and to then allow those people to return to society and contribute value again... is alien to America.

Subjectively, thinking about films and TV involving prisoners, all the American ones I can think of (I'm certain there are exceptions, naturally) involve protagonists who are either out-right shown to be innocent or are very heavily implied to be.

OTOH, there are many British ones where the protagonist is definitely guilty, but nonetheless portrayed in a sympathetic or even positive light.
Gmail phishing attack sees criminals hack – Hacker Blog
Swift makes it into top 10 most popular programming languages
> But we have tons of recalls for cars, toys, food and gadgets

Most of these recalls aren't related to software. Regardless, systematic quality issues in each of those businesses have their own unique cultural origins.

> So what are the industries you're talking about that work at scale by "don't cash the thing"?

Aerospace, for one. Also chip design and fabrication.
Best curry in Stavanger: http://www.tandoori.no/

My favorite restaurant in the area. :)
If you read the first paragraph, it mentions first AI then AGI, and does not deny that the latter is a subset of the former. In the second paragraph it even mentions that today’s AI is not AGI.

So it uses a strong claim — i.e. AlphaGo is not AI — then subsequently changes it to a smaller claim — AlphaGo is not AGI.

Reading the entire article does not change the fact that this can be seen as a technique to attract readers. Claim rare X; change X to be a subset of Y; then claim it was really new X all along. Moving the goal post.
This is very depressing news. For those not living in the UK, I cannot recall a time in recent memory when UK politics has felt so dysfunctional, oppressive or regressive than it currently is.
1. Norway	146. Yemen
2. Denmark	147. South Sudan
3. Iceland	148. Liberia
4. Switzerland	149. Guinea
5. Finland	150. Togo
6. Netherlands	151. Rwanda
7. Canada	152. Syria
8. New Zealand	153. Tanzania
9. Australia	154. Burundi
10. Sweden

Will be interesting to see how spots 7, 8, 9 hold up going forward as many/most middle class people in these 3 countries increasingly find they cannot afford even a very modest home within reasonable commuting distance of work.

For example:

http://www.greaterfool.ca/2017/03/17/outta-here/

"My wife, daughter and myself currently live in Newmarket in a detached home that we purchased our home in late 2014 for $590,000 and it’s worth $1.1 million. That’s quite the profit in 2.5 years. So an option we are leaning towards is selling, and then renting for until we are ready to leave town and go north or east."

If it was just single family homes in prime areas it might be understandable, but the "bubble", or whatever it is, is now creeping into rent, leaving nowhere to hide.
Luakit Web Browser (Updated Fork)
"Admitted it" is not the same thing as braggadocio
Building a Distributed Runtime for Interactive Queries: Apache Kafka and Vert.x
Just to clarify, they are WAL logged starting in Postgres 10, which is what this article was talking about.
I wouldn't say _nothing_ was achieved http://www.xe.com/currencycharts/?from=GBP&to=USD&view=1Y

:(
> and much more culturally homogeneous

Isn't diversity supposed to be a chance?
I know a couple people working on using deep learning for financial timeseries. It can be beneficial even with relatively limited data (a couple of years with high granularity).

I also think the 10% figure is quite ambitious; especially given that they are at an early stage of negotiations.
This is what I also try to tell people when they ask me for advice on a TV. I got a sharp TV about 6 years ago and it still works perfectly and has more HDMI ports than most TVs coming out now, with none of the "smart" features.
This is a bit out of date. Nylon, PETG, TPE/TPU and polycarbonate are quite common for home 3D printing now as well as a number of hybrid materials.
Not only that: there will be no more unwanted immigrants, there are no more negative effects of globalization, the tories will care about remote rural areas, the queen gets a new ship, making decisions doesn't require talking to your neighbors, the economy will boom, the empire will be a large free trade zone, ...

Though, not everything is rosy: The Germans will still win the football games.
VC algorithm detects when users are "hooked" and automatically invests
that's pretty cool. Is there a way to track progress on reuse (like an issue I can follow)?
The main factor when designing a spaceship is mass; getting mass into orbit is currently very expensive. You want to use materials which have very high strength to weight ratio, such as aluminium, and carbon fibre.
LinkedIn Engineering on Glimmer: Blazing Fast Rendering for Ember.js
Miele is the brand of dishwasher for you. They are expensive, and not perfect, but it will slowly and reliably get the dishes clean. The best part is that it never makes a peep, this thing is super-quiet. The worst thing is: no child control-lock (you try and get a curious toddler to disregard it for hours).
do people read the articles before commenting?
Making a decent curry isn't that difficult so that's not really an excuse. :-)
And this will be the outcome: http://www.smbc-comics.com/comic/self-driving-car-ethics
> Depending on the employee composition, it may even make sense to move the company entirely to another country in Europe.

Similarly, if you're starting a company it probably makes sense to make Berlin or somewhere like that your home. Why risk potentially having your supply of engineers reduced dramatically post-Brexit? Funding could start to dry up in the UK for the same reason.
They still know a hell of a lot more than the average joe. Listen to both sides and make an informed decision. Don't dismiss them and expect to know more.
World Happiness Report 2017 [pdf]
Bitcoin Trading Digest (10/03/2017–19/03/2017)
Smashing Magazine re-launches site without a back end
Hindsight is 20/20. From what I can tell, the Case-Schiller index is back around 2005 levels, even higher in some cities like LA. [1] Should people start selling their houses?

[1] https://en.wikipedia.org/wiki/File:Case_Shiller_indice_20_vi...
I also have problems with perfume and softeners always get such a bad chemical smell very fast. Will try to get hold of TSP, thanks!
>> Google PR to justify how much they spent on DeepMind - why would google try justifying for Deep mind and not to other tens-to-hundreds of companies it acquires in a year ?
Hitting the wall Marathon
The Samsung Galaxy S8 will come in three colors
And that will happen when money stops being useful. If you want sustainable solutions, realistically companies need to be charged for their externalities. Expecting altruistic behavior on a massive scale just won't work.
And "Rule Britannia" will blare from every lamp post on a constant loop. Glorious!
In the 50's median person might have spent 100-200 hours of his work time to pay for a appliance that today costs only 10-15 hours of work today and consumes much less energy.

If you are willing to spend similar sums of money and buy items from luxury or industrial markets, you might still get the similar quality and get the modern energy efficiency. Not many people are willing to spend that money for their kitchen.
> What industries are using formal methods to not crash things?

Aerospace and chip design are the two major industries that make regular use of formal methods.

> Uber and... Tesla... cowboying... And the old guard is even worse - recall Jeep...

Yes, most of the auto industry has been slow to the table when it comes to taking software quality and capability seriously.

Uber has a prototype, not a product, and Tesla has a young product. We'll see what engineering practices they adopt over the next 15 years.

> The idea of formally verifying a DNN image classifier seems absurd

https://www.google.com/search?q=verification+of+deep+neural+...
"no one believes there's a problem with car addicts that the government needs to solve"

If you drive almost any highway in Germany, you'll see a great number of (goverment-funded) posters against speeding. If you commit enough driving offences, you may need to pass so-called "medical-psychological examination" (MPU - "Medizinisch-Psychologische Untersuchung") which is dubbed "idiocy test". This will cost you time, money and dignity. There are also campaigns agains short-distance driving etc.

So I think what you say is not true, quite many people believe that there is a real and present problem with car addicts that the goverment needs to solve.
I guess it is not a surprise that North Korea is missing from the list. I am just surprised they didn't mention that though in the report (via a quick command-f).
Not to mention the lack of coherent opposition from Labour.
I think this was the proposal of a campaign group, not of the Givernment. The campaign group aren't in power, even though the referendum went their way. So it isn't reasonable to expect policies they proposed would be be enacted, whether or not you support the policy or the policy made any sense.
With the Scottish and Irish no longer apart of/a drain on the UK by then there should be plenty of extra capital available for the NHS. /s
Automobiles.
How can my business benefit from AWS Pt 1
> and weigh around 100kg

Yep.

I once carried a Miele washing machine up 3 flights of stairs with a friend. We thought we were about to die.

Later I looked up the specs in the manual: its counterweight weighs 120kg :´-(

The machine is (I think) around 30 years old, still going strong.
Prototyping tools that let you record your prototype as well
In my experience, if you prefer to stay with cars that are very low maintenance, 120-130k miles is a really good time to sell. The mileage is just low enough that the car will still have enough value to make it worth selling on your own. By 150k you'll be making minor repairs frequently, by 180k it get's expensive and becomes a question of how committed you are to keeping the car.
> I'd add that insurance is specifically about transferring risk from people who can't handle it to those who can.

Those who can, not necessarily those who will. It's not as simple an equation as "transfer the risk and you're good".
I believe you're wrong and here's why (maybe the previous poster's way of explaining it wasn't good).

1) Economies of scale. Airbnb has management and overhead but it's spread across thousands of cities. Cab co.s need a full structure for each city in which they operate.
2) Automation. Many of the manual jobs in local cab companies like dispatch and scheduling are automated. You don't call a human when you need a ride, you push a button on an app. So that's also less overhead.

They are also very clever in how they treat their drivers, so labor cost is also low, and of course there is no maintenance on cars (drivers change their own oil, buy their own tires, etc).

So I believe Uber could probably make money just by replacing cabs, but like others have said, they have to compete with other VC money receiving ventures that are wiling to burn money to come out on top.

For now, we the customers are benefiting greatly from the situation.
Strange that no one actually commented on this.

For those who don't know, Nowruz means "New Day" in Persian.

Today is Persian New Year and is celebrated in many countries around the world, most notably in Iran.
I am Norwegian and wonder how much of this is cultural. Most people here know that the rest of the world has much lower living standards. So for many it is perhaps rude or shameful to claim to be unhappy or dissatisfied.

I know it says "subjective happiness" in the report, but I still suspect it might be an influence.
SCADE – Cross-Platform Development with Swift
Good timing. Bought a 400 tv for 10 at a garage sale. Was gonna be tossed. I replaced a single smd fuse, watching it now.
I don't know much about electric grid engineering - are there opportunities for a ML approach to increase efficiency in ways other than the sort of better supply forecasting implied by this article.

The article does mention the losses involved in long distance transmission, but surely traditional approaches can already yield fairly well optimised planning for improving this sort of efficiency?

(Finally, this article seems quite light on details to me & doesn't mention a source Google press release or anything like that with more specifics. Maybe just better supply forecasting could yield bigger benefits that I imagine...)
Money can't buy happiness... but not having to worry about money buys less stress.
I have a much more usual one for you: don't listen to anyone and pick whatever the guy that gives half of the money into your pocket says.
Caution

Hash index operations are not presently WAL-logged, so hash indexes might need to be rebuilt with REINDEX after a database crash if there were unwritten changes. Also, changes to hash indexes are not replicated over streaming or file-based replication after the initial base backup, so they give wrong answers to queries that subsequently use them. For these reasons, hash index use is presently discouraged.

That is the warning in the current version of Postgres about hash indexes.
>because they subsidize every ride. significantly

I don't believe this is true in all markets. IIRC the heavy subsidizing behavior causing severe losses is in new markets like China.
Django REST framework 3.6
Check your manual. There's usually information about running a hot cycle with bleach for maintenance.
> Uber has only managed to stay ahead of Lyft by undercutting Lyft's prices, incurring severe losses in the hope that as soon as they have self-driving cars they will be able to become profitable by eliminating one of their main expenses

I think someone should pause to note that, if true, this is one of the dumbest long term business strategies in the history of high finance.

This idea, apparently, is a bet on a technology that not only doesn't exist, but is extremely highly regulated, that the company has literally no demonstrated core competencies in, hasn't been even successfully prototyped, that represents the hardest most complex use case of the technology, and is obviously years away at best, but yet it justifies a policy of losing billions of dollars in the present just to get market share when the costs of switching brands are literally so non-existant that a typical customer often does it several times in a single evening out.

Maybe it's my old age and having lived through the first dotcom crash, but it seems to me that even when you feel like the only person who sees that the underlying business logic is nonsensical magical thinking, it's still quite possible you're correct.
I find this with much in the mainstream media. So much so that I created a browser plugin to change some terms that really irked me (anti-austerity for example).
There was an official leave and an official remain campaign (as well as some unofficial ones). The £350m NHS promise was part of the official leave campaign headed by Boris and Gove.

"The pledge was central to the official Vote Leave campaign and was controversially emblazoned on the side of the bus which shuttled Boris Johnson and Michael Gove around the country. "[0][1]

[0] http://www.telegraph.co.uk/news/2016/06/24/nigel-farage-350-...

[1] https://www.independent.co.uk/news/uk/home-news/brexit-vote-...
> I don't think we are on the precipice of general AI, perhaps we are not even close.

In all probability, I want to agree with you.

However, deep learning unnerves me. Seriously, how many people who evolved the deep-learning-trained models actually understand how those models work? But the models produce good-to-great results.

So there could be a small chance that general AI could randomly and spontaneously come into existence. Either we are too close to general AI or infinitely far from it. We can't tell it because we are not sure if intelligence is a evolved goal oriented function or an engineered substance. Being an atheist, I believe the first part - and thats what deep-learning based AI looks like.
That's what you get when you combine oil riches, Nordic model and coastline designed by Slartibartfast.
There is article "Fake News" from 1992 [0], looking at the problem from this angle, essentially saying that quite a lot of news is fake in a sense that it is not prepared by journalists, but instead supplied by public relations agencies and published without any critical analysis by the media.

Take for example recent CIA leaks. Reuters, when reporting it [1], included a statement from antivirus software manufacturing saying that "We can prevent attacks in real time if we were given the hooks into the mobile operating system". Given long history of AV software manufactures not following even basic security practices, I doubt that security experts would agree that this is how we should ensure safety of mobile devices.

[0] David Lieberman, "Fake News,", TV Guide 1992, quoted in "Toxic sludge is good for you".

[1] Eric Auchard, "Wikileaks' CIA hacking dump sends tech firms scrambling for fixes" http://www.reuters.com/article/wikileaks-products-idUSL5N1GL...
I used Tinder in Japan. Results were interesting