skysight-inc/HackerNews huggingface dataset:
No they mean double glazed. Two layers of glass with a thin layer of air sandwiched between them.

Windows are built like this in countries where the outside air temperature is far different than you'd want, as otherwise you spend a lot of money heating or cooling your windows, because glass is a poor insulator. But _air_ is a relatively good insulator considering it's transparent, the two sheets of glass stop the air from moving (and taking the heat with it).

If you smack a double glazed window, you are now trying to compress the thin layer of air, which is difficult. So in most cases the window will stubbornly not break. You could probably still smash it with a pry bar or similar tool, eventually but it won't be easy.

People have the idea from watching too many movies that breaking glass is very easy, in movies they are using sugar glass, it's _designed_ to smash easily and turn into impressive looking but not dangerous tiny pieces. In reality the glass mostly doesn't break, and so you hit it again, harder and eventually some of it smashes and you've got big shards of razor sharp glass, which you'd better clear away or you'll hurt yourself.

It's not magic impregnable nonsense, it's just inconvenient and dangerous to break.
Uhm, their Echo, Fire, and Ring devices are all wildly successful...
Hackers Take over Smart Home
I already see that happening in places like new york and california. The most trendy resturants are the ones that flunt the green image, and charge you as much or more to be seen there as for the food.
The problem is two-fold. First, LoRa is a spread spectrum technology that also has a problem with collisions. Spread spectrum is where the signal bandwidth of your transmission is higher than the information bandwidth, meaning your transmission's spectral efficiency is terrible. But usually spread spectrum systems are designed such that multiple transmissions can occur at the same time without colliding, so the network spectral efficiency is just as good as a narrowband system. But LoRa is a spread spectrum technology that still suffers from collisions, so the network spectral efficiency is really bad.

Second, LoRaWAN uses an ALOHA medium access scheme, which also suffers from poor network spectral efficiency compared to basically every other medium access scheme out there. So these two things combined mean that a LoRaWAN network probably won't be able to handle much traffic.

Almost all of the media I see about LoRa and LoRaWAN talk about the great range, which is really good, but then gloss over the network performance. So in my opinion LoRa is a bit too hyped at the moment. I also think that when LoRa came out, it was the only PHY that bothered to go down to really low bit-rates, and then the range basically comes from the Shannonn-Hartley theorem. People think that LoRa gets its range from some fancy signal processing tricks or whatever, but I think it's just the fact that they bothered to drop the bit-rate very low. That's basically what SigFox is doing as well, but they're using a more typical narrowband PHY and so probably won't suffer from the same network capacity problems.
When I ran i3 without xfce if I wanted a battery monitor, I needed to find a daemon to do that. If I wanted an icon to adjust my volume, I had to find a daemon to do that. I wasn't getting notifications from apps because I forgot to install a notifications daemon. XFCE gives you all those things built in, and many more that can be easily added to the panel without having to go find another app.
I'm dead serious about this. I think we should weigh all large scale compute against its carbon cost. Granted, fang is starting to look for renewable sources for its DC's, but US data centers alone will use around 73 billion kWh in 2020 [1].

How much of that is ML? As someone pointed out in another comment, how much ML is actually useful? Some ML is "carbon good", such as route planning saving energy. But do we really need to spend billions of kWh just to get slightly better recommendations? Do we really need to increase margins a fraction of a percent for some company to show more ads and sell more?

And while we're on the subject of power, maybe if web pages weren't 300mb of crap and 1k of content, we could cut back on another few billion kWh on servers and routers.

This shit is serious, we're dying here, so yes, absolutely, let's do the math about how much AI costs. It's up to us, the computer people, to ask these questions and solve the part of this problem that WE own.

1. https://eta.lbl.gov/publications/united-states-data-center-e...
It’s interesting to see the Pareto Principle working here as well.
I am not sure we should be punishing ourselves either but when I look at how things are currently going in my country, it seems we already are. There are climate plans that basically involve 25 centimeters of insulation to every house and heating by heat pumps. At the same time currently pretty much all building projects are on hold, not because of CO2 but because of nitrogen compounds. I am not really sure these are good things to do either. I am guessing maybe not. But in such a political climate the quite large amounts of CO2 emitted by training deep learning networks does feel like a frivolous expense.
I've just started Persepolis Rising, please don't spoil anything rubbingalcohol!
Look into the modern nlp models. BERT and its many derivatives, RoBERTa, XLNet. Training all of these require roughly TB of data, and generally take days on multiple TPUs. You often can’t even fine tune on a single GPU without some clever tricks.
I don't think anybody shares that concern. Not even for LEO, where the wildest fear is not being able to stay in a stable orbit there for years.
> in particular, you have no power to make the users polite.

So very (and unfortunately) true. However they also have no power to make you do the thing they need straight away, or ever.

> Even if you put hard work in it, you sacrifice a bit of your life.

And this is bad. We need to move the needle away from this. It is incredibly exclusionary

I am a younger person, no kids, in a job where I was able to negotiate for open source maintenance time. By making "sacrifice" a requirement it makes it off putting for someone with kids, or working in a job that has them working long hours, or working multiple jobs.

> But the user, well, they just are what they are, software can't fix that.

No, software can't fix it. but highlighting the problem, and letting people possibly see what they are doing is not useful may change the user.

I have been a maintainer of a project for a long time, and I get everything from people pinging me in our IRC channel, to DMing me, to asking if I give them my skype ID so I can call into a bridge to help them debug an issue at midnight. We need to highlight this is not OK.

Personally, I really like the PowerDNS rule for open source support [1] - it sets expectations, and the base requirements from someone looking for help.

> the success, at least to me, was measured by the number of users

That is a valid metric, but just one. I personally measured the success of the project based on what people were using it (e.g. I would rather wikimedia vs 20 startups), but that metric is really person specific.

1 - https://blog.powerdns.com/2016/01/18/open-source-support-out...
Yeah, you're probably fine. A lot of the traits that make men attractive are very difficult to convey through a dating site, so a lot of men get passed on unless they're super good looking. It looks like the original blog has been taken down, but OkCupid created this[1] graph that shows that most men are rated as below average looking on dating sites.

[1] https://i.redd.it/ccjv5cjcevp21.jpg
If you look at the internals of the lock then the tolerance where to drill, and still be able to leverage it open, seems to be pretty big.

As such, they could remove the whole logo and it would still rather easy to approximate where to drill, it's not like measuring dimensions is impossible without a manufacturer logo.
The combination of Gallium3D and Mesa can also support D3D9 actually.
Space is always so fascinating and unknown to me in so many ways. I've never really thought about the endless amount of ways space could wind up killing me, it just seems so far away from my daily life that I don't need to worry about it. I really hope this experiment works for them, or they learn a good bit from it, but I also really hope we never have to use it.
LoRa is just a PHY, LoRaWAN is the MAC. And last I checked LoRaWAN used ALOHA, not slotted-ALOHA, which is even worse. But I knew a few years ago they were talking about adding beacons to the MAC to enable slotted-ALOHA, so maybe my knowledge is out-of-date?
You might be shocked to find out what the job is like for most professors. Grants, grants, and grants.
THANKS! I got it now :)
What happens when 3 men who identify as Jesus are forced to live together (2010)
After having read some of the messages you pulled quotes from, I feel like you are taking them out if context.
I was particularly looking for such (in fact these) questions while going backwards through the article again, and I must say:

I don't think you have a point here. All of these steps can be easily done while the lock is on the door. There are plenty of tools availabe to drill holes this way.

Nobody said it is "faster/slower/easier/more difficult" than existing attacks. It is a valid attack, it is quick and it makes almost no noise and worse: It isn't even obvious (you need to actively search for a tiny hole, otherwise you're just assuming all is OK)
Those sort of emails are really hard to deal with, especially when it is something you spent a lot of time working on.

I like the idea from the talk of just blocking them outright.
Wallabag has a pretty bad user experience if I have to compare it with Shiori. Shiori is easy to install, easy to run, and automatically creates local "reader mode" and archives of the webpages as you add them. On top of that it has a full command line client and an API you can query.
Implementing graceful-close in Haskell network library
Thursday: Encourage Each Other to Good Works
AI has too perfect of a sales pitch and surrounding narrative for business people to treat it rationally. The fact that philosophers who don't understand AI are debating AI philosophy is strong evidence of that. A crash is less likely this time around because it's being funded by established companies instead of the public market this time, but there has to be a moment of reckoning for the baloney eventually... I hope.
I think this is a mischaracterization. The relational model which motivated relational DMBSs is based on predicate logic. Mappings to graphs are obvious, but are not the organizing principle. This was one of the strengths of the relational model, encouraging a more flexible view of the data than graph databases had previously offered. In a complex relational schema, you can discover and work with all kinds of implicit graphs that were not originally intended by the schema design.
I don't know how the Firefox package is built on NixOS, but I just run the one from Arch Linux with the following environment variables:

MOZ_WEBRENDER=1 MOZ_USE_XINPUT2=1 GDK_BACKEND=wayland
Top Disadvantages of Solar Energy
Many US agencies have full access to "private" messaging services. Don't be fooled into thinking anything is really private.
The article is about illegal actions or unethical pressure in mostly non democratic countries ( don’t know about Guatemala) I expect a prime minister or president to resign in democratic countries for those actions if they knew about it
That is very far from spin, conflicting results in complex policy modeling.
Context matters. People concerned about gender discrimination aren't usually as concerned about distinctions drawn between genders when the context is ballroom dancing or weddings. They're almost always concerned when the context is employment. Somewhere in between you've got dating and religious rules.
How to Invent Everything
> U.S. is the safest place from the USA's surveillance network

Poppycock:

* https://blog.cryptographyengineering.com/2019/09/24/looking-...

* https://en.wikipedia.org/wiki/Room_641A

The NSA was tapping glass of inter-DC links of all the major online players without their permission on US soil.

Not only that, the NSA was undermining NIST-approved algorithms by giving dishonest advice, thereby compromising the security of US institutions that used those algorithms:

* https://en.wikipedia.org/wiki/Dual_EC_DRBG
Our AI lab is mainly experimental at this point, but we're a company so we're looking at how to apply certain models at the wide amount of data in our warehouse and how it could be surfaced in multiple ways.

We've also thrown a lot of money in this endeavor, so there's research and building a foundation with the underlying intent that this will be used to help the company.

I don't think that's too different than the university model of grants and research.
To OP's point, neither does the skim milk. The question is: which is more or less ultraprocessed? Intuitively you'd think the whole milk is closer to the real thing by any measure, even if both varieties are processed.
Nonetheless I tend to agree with your point that there are probably better examples of food that are closer to ground truth in nature.
I think people don't get the etymology.

Propaganda is one thing, it was surely there "since time immemorial."

Plain lies, and non-genuine political messaging is also from the same opera.

What militarised disinformation is something on the whole new level though. The aim of disinformation is to make your enemies do blunders and mistakes. It can be ingeniously crafted, and aimed.

For example, Soviets made deliberate decision to reduce secrecy for some of their submarines to warp impression of NATO naval intelligence, so as to sow discord in between political agendas in the West, all without employing any lie. And it worked surprisingly good according declassified US intelligence reports.

Above all, it's about intellectually discombobulating your enemies, drowning them in lies, making them loose factual "anchor points" for decision making, and making them to disbelieve their own eyes and ears.
It doesn't seem to handle name collisions very well. I'm certain there were other languages called "D" before the Digital Mars one, for example.
This would be enforced in the next version of Android IIRC. If you happen to have a rooted device and trust closed-source app you can also try Storage Redirect ( https://rikka.app/storage_redirect/ )
I love Bumble's concept because it attempts to complete what feminism espouses. Aren't we all about empowering women, and how we can all be capable in the jobs we do, and the lives we lead? It's a great thing and I believe in it.

But... Women collectively stopped short of picking up an equal responsibility for initiating romantic or casual interest. As a guy, you are absolutely expected to make the first moves. That doesn't sound very fair to me.

(Don't say it's because women aren't as interested as men. We're all pretty horny on average, and we all want to make connections. Equality, remember?)
I don't see the problem. Universities don't solve problems by simply throwing more dollars at them. If compute resources are scarce then researchers are incentivised to invent machine learning techniques that use those resources more efficiently.
Adverse selection among groups is an issue, given adverse selection: individuals or small groups with high but non-evident risks may emerge.

"Small-group" coverage is generally 50 or fewer (in some states, 100) members:

https://www.healthinsurance.org/glossary/small-group-health-...
Millennials Continue to Leave Big Cities
I thought its gravitational pull and the pressure around the black hole should cause it to absorb much more mass that that estimate.
As with any addiction there are different flavors of it and each one requires specific approach. For example, if the origins of it are in frustration over your sexual fantasies never get real, all attempts to quit the addiction the same way as quitting a smoking habit will only make things worse. I recommend you visit a doctor who specializes on addictions first.
This looks like a GDPR breach. Does anyone know where i can find the details for the dropbox GDPR representative?
Shouldn't infringement match all claims too? SQL did filtering using transfer criteria 45 years ago.
I was getting flooded by messages from women. After that I met a few women and picked one as my partner
I started my career as a remote junior dev, but I wouldn't recommend it. it's very difficult to get brought up to speed as a skilled developer in a situation where contact with other devs is minimal.
You hit the nail on the head. AI is nowadays defined as a very sophisticated form of curve fitting [thanks to TensorFlow a.o.], that's what training ANN's comes down to. There is clearly a lack of intelligence, f.e. the [main] method used to beat Lee Sedol was MCTS (with the help of some ANN's).
I feel like in Western society, a certain narrative is being pushed that everyone should be treated equally regardless of gender (i.e. Wimbledon winners should get paid the same amount). From what I can tell, it is selectively being used by certain groups when it suits them to push their agenda.

However when observing the real world, it is clear that people are not treated equally based on gender (i.e. Bumble, restrooms, changing rooms, dating). And I am fine with that to a certain extent which is another rabbit hole/discussion. What I find interesting, is that the generation using Bumble tend to be more progressive and aligned with the "all people are equal regardless of gender" ideology yet this is not consistent with how the Bumble app works. This is where I find inconsistency in terms of thinking but I recognize that I'm making wide generalizations which is not ideal.
> The human brain doesn't use a billion dollars in compute power, figure out what it is doing.

Perhaps figuring out what it is doing itself costs billions of dollars?
I don't quite understand the issue here. I thought the main reason for the many recent breakthroughs in AI was that hardware has become cheaper and more powerful. Anyone can train a neural network on the graphics card of their home PC now. There are powerful open source frameworks available that do a lot of the heavy lifting for you. You can do far more today than you could back when I was in AI.

Of course the Big Tech companies have far more resources to throw at it; that's why they're Big.

A far more serious issue than access to computational power, is access to suitable data, and particularly the hold that Big Tech has on our data.
Demystifying Poetic Meter
I had a chance to join a machine learning team at Dropbox a few years ago. Ultimately what made me decline was this feeling that everyone in the office was sort of a zombie on autopilot. Nobody was excited about anything, all the use cases being kicked around for machine learning were extremely contrived recommendation and automation features that seemed like they had no real product research or stakeholder support to pursue them.

It was like everyone was just resigned to raking in money on top of an extremely boring storage platform and clearly nobody was going to risk generous salary or equity coming in so they could rock the boat with an ambitious project.

All to say it doesn’t surprise me that there was some lapse of quality checking or oversight on some feature of Paper integrating with Dropbox.

The whole place reminded me of this quote by TS Eliot, “Oxford is very pretty, but I don’t like to be dead.”
As an ML researcher without a masters or PhD that’s not necessarily true. Companies reach out to me and say things like “we are really excited to talk to you about opportunities, especially given your 4 years of production ML model work and research”

Then right before interviews I hear, “well we like you, but didn’t realize you didn’t have a PhD. We have a really awesome software engineering / machine learning engineer opening that’d be great for for you. That’s what we’ll do the interviews for”

Cool. Probably happens 2/3 the time, honestly.

Just ask me about my parents, research, and projects...

Anyway, point being you can’t 5x with a B.S. in C.S. That’s why there’s a “lack” of talent.
It doesn't really matter if his reaction was justified or not, that's how people act. And it highlights why customer service is so important: because sometimes it really does just take one slip up to lose a loyal customer and to turn a promoter into a detractor.

It makes no difference if it's rational or not if it's reality because if you're an expensive steak house, you have first world customers so their first world problems are your problems.
AI is now a data problem, and a bit of optimisation problem, both should or could be solved at commercial end of research. Universities should be more focused on what's next ? Not saying this is not "the next". but, as, ground level ideas of AI are quite 50-60 year old if not more, current ground level research should make theoretical platform for the technology that is going to come in 20-50 years.
Yes you can see that reaction and even description after some time passes is purely emotional. Nothing logical can pierce that. It doesn't matter that he gives his friends bad recommendation, as long as the restaurant which betrayed him is punished by lost customers. That's outsider's perspective, I can bet for him he feels this perfectly fine and good behavior and maybe even doing a service to his friends.

The reality is, if 97% was a great experience and 3% awful, its still a great place when averaged. I for example would gladly try out such a place if it would be described objectively, without some stupid emotions overshadowing every single fact.

Some would call the reaction appropriate, some overblown. Not judging, haven't been treated like that. But generally emotions are bad long-term advisor, unless decision also passes some basic logic check (which usually they don't).
"seems problematic" - understatement of the month

I always thought those indicators about who is viewing a publicly shared document were creepy
You can do this with sparkle! Our app that uses sparkle runs silent automatic background updates. No prompt for install needed! We could pop a changelog after update, to let the user know there has been one, but most often we don't.
Why is it a GDPR breach when a Dropbox screen clearly explains to the user clicking the link that other users will see your details if you proceed? (Just curious, it may well be an issue, I just don’t know how).
I think Coffee Meets Bagel limits you to one per day, and Bumble only lets women initiate conversations. I have tried or investigated either of these, so this is all hearsay, but seems like some companies are experimenting with solutions along those lines.
I suspect it hasn't been hiven much thought because of how logistically difficult it would be communications wise and the value of context. Take even a simple yet still complex example as say Microsoft declares that coding and software design should be kept absolutely separate on a personal level. You can make a design or write of anything but not both. That would be a major pain for no concrete gain - like trying to produce bottled water from hydrogen and oxygen burning on the grounds it is "purer" that way - ignoring that apparatus also introduces comparable parts per billion contaminants as a reverse osmosis filter.

As for interviews what would another layer of gatekeeping even add that calling one or both parties to verify that the transcript wasn't from a satirical news site add?
Cream drummer Ginger Baker critically ill in hospital
Checkpoint 156-205 Exam
We Answer 10 Questions About Blockchain
A tutorial implementation of a dependently typed lambda calculus [pdf]
What Is Keyword Cannibalization