skysight-inc/HackerNews huggingface dataset:
@AlexandrB

>> None of that is relevant. What is relevant is that there are known mitigations, which are simply a matter of engineering.

> No they are not. They're also a matter of economics and political will. For the world to embark on such an engineering feat a lot of people would have to give up a lot of money to fund the engineering required.

That entirely depends on technology, doesn't it? If one effectively has unlimited energy, and advanced robotics, the effective cost of things drops exponentially.

> Meanwhile, I don't know if you've noticed, but political systems around the world are becoming less stable and more prone to fringe and populist ideas.

I have not noticed that. The US "political system" hasn't changed an iota, for instance.

> Any kind of climate disaster will only make things worse politically. If the Syrian refugee crisis was bad, imagine what happens when millions in India become displaced because their place of residence is too hot to live in. Or when the first global food shortage happens.

None of which is expected before 2100 minimum. Many feel that most current projections remain overly pessimistic.

> This is the kind of stuff that starts desperate wars for resources and brings populist dictators to power.

Pretty scary stuff... ::eyeroll::

>> Humanity has a bright future. The only things standing in the way are stupidity, defeatism and negativity.

> No, what's standing in the way is a sociopolitical climate focused on extreme individualism. The kind of engineering solutions you describe require some form of collectivism - even if it's just drastically raising taxes to pay for all this stuff.

Nonsense. The US focused 10% of its GDP on the space race for years during more "individualistic" times than now.

Also, the US put together the industrial might to win WWII without "collectivism".

What those efforts took was an enthusiastic and committed free people. In every case the authoritarian and collectivist competition was beaten.

> Western governments have been so weakened over the last 20 years that they will have a hard time doing what's necessary.

How, exactly, have Western governments been "weakened"? I don't buy it at all.

> The US is withdrawing from even the modest commitments in the Paris Accords.

I believe the correct tense is "has withdrawn" - from the non-binding accords. Yet, the US is the only major power that had lower CO2 production last year...

The left has poisoned the well as far as public attitudes towards climate change, by myopically deciding that the only way forward involves central planning, economic distress, and sacrifice.

A better approach is as outlined in the parent "In the shorter term" paragraph, allowing both government and private enterprise to efficiently and cost effectively address cleaner energy.
>"Wow, that's a really good photo! You must have a great camera!"

"That's so kind. You have a great mouth!"

(Saw this in a comic somewhere - sadly, I can't find it any more).
I think it's mainly time and sometimes you don't realize how much knowledge/expertise you have because it becomes second nature so you don't realize how valuable sharing it would be.

If this is in an office setting, sometimes co-workers won't document/share knowledge so it makes them feel like they can't be let go/replaced.
According to https://en.wikipedia.org/wiki/Censorship_of_Wikipedia#China

"Since June 2015, all Wikipedias redirect HTTP requests to the corresponding HTTPS addresses, thereby making encryption mandatory for all users. As a result, Chinese censors cannot see which specific pages an individual is viewing, and therefore cannot block a specific subset of pages (such as Ai Weiwei or Tiananmen Square) as they did in past years. As a result, Beijing chose to block the whole Chinese Wikipedia"
remember the average american watches 5 hours of TV a day...
I have no idea why anybody would believe that.

Well, a few reasons are listed in articles like this:
https://www.bloomberg.com/graphics/2018-tesla-burns-cash/

It's clearly not false to state that the company will need a lot of money to scale going forward, compared to the money needed in the past. The only question is whether that money comes from revenue, debt, or investment. The revenue projections don't come close to covering it in the short term, and the company has already taken on quite a bit of debt with respect to its assets, making it unclear whether it could get loans for the amount of cash needed to scale up to "real car company"-sized manufacturing capacity.

Maybe they don't need money, and Musk is just taking advantage of undervaluation to make a great deal. But it's certainly not crazy to think that they do need money, and if so, taking the company private may be the only viable option.
Yep, it white-flighted out to the suburbs. My dad's two siblings kept their accent but my dad suppressed his, either when he was at Loyola or at U of C, because he didn't want to sound like a low-class south sider.

You'll still find it in certain neighborhoods, Beverly comes to mind.
Yuval Noah Harari: The Next Big Myth Is Data
I built JQBX (https://www.jqbx.fm) so I think about streaming, money, and the law a lot. The industry is very focused on siphoning off as much cash from the musician as possible. That being said, in the age of streaming that seems like a common model (Psy got $2 mil for 2 billion views!?). I think direct sales is the most promising future for artists compensation given that there are so many new sales and social channels. Bandcamp is does good work and if you're going to buy music (and the artist is on there) you should probably do it there. I know I'm a small fish but I'm integrating on some direct to artist sales features currently to at least help the cause.
I'm... Not impressed. Yeah it's annoying and should be patched, but not more than that. Good find, sure. I'm rather glad to see nothing more impactful was found.
I have a few friends that are aspiring musicians with what I consider to be a high quality product, and they both struggle to make a living out of it, bankrolling their music endeavors with side gigs or similar avenues.

In the age of the Internet, it seems clear to me that from a macro economic perspective, the only scarce things a musician can provide are (a) experiences and (b) physical goods. It seems like no small/medium artist can expect to make a living out of YouTube views or Spotify plays.

Is anyone here that is more knowledgeable about the industry able to comment on what tech-enabled avenues exist (or may come into existence in the short term future) for younger musicians to make a living? Crazy ideas are OK (for example, I think VR live concerts might be a thing at some point, but I don't have enough understanding of the industry to tell whether something like Ujomusic makes sense).
Run Non-SSL Protocols on the Same Port as SSL in NGINX 1.15.2
For example:
I already have major system built so I have Tea as 1, Honey(for me it's visualized as a sexy woman) as 2, Ham as 3 etc. Then I have basic Pandas function of axes(), ntype(), empty() etc. Then I will imaging : A crazy guy is destroying a Tea tree with an Ax, I'm practicing typing on the breast of the sexy woman, There's an Ham with big hole so it's almost empty on the table... It's very easy to remember no more than 10 functions in a few minutes. It's just function names but at least it gives you a clue to go over all the functions and recall the usage before you forget. Can not replace Anki but you can recall what you learnt anytime and anywhere. Such as before you sleep.
Normally their post contents remain with [deleted] as the user name. They could have also used a mass deletion script prior to deleting their account.
Anki's Vector Is a Little AI-Powered Robot Now on Kickstarter for $200
"It's like Snapchat with blockchain but for cruciferous vegetables!"
>If I go out for a day with the camera and take say 20 photos. I might save 1.

Most of Ansel Adam's photos are crap. How am I so arrogant to say this? Because most of everyone's photos are crap. You just see the good ones.

This was true even in the film days. Read books by photographers who worked in the film era. 1 in 20 is a pretty good rate.
Modern crosswalks, especially on avenues, usually push back where the car is supposed to stop 3-6 feet. Usually without markings, drivers will target (and overshoot) the curb cut.

There's definately more "blocking the box" now, but IMO that's more about "smarter" traffic signals that are frequently broken or result in too short/long wait times.
This is great to hear, I've been scaling back but always feel like I might miss something important. Scanning headlines without clicking them sounds like a great way to avoid the rabbit hole.
Something tells me this comment will not age well.
>"If you did the type of heavy traffic enforcement that you see on Long Island or in some upstate places, the overtime and adjudication would cost many millions of dollars."

Moving violations are huge cash cows though which is why upstate and Long Island rely so heavily on them. It would pay for itself many time overs on rush hours alone. It's almost surprising that a city that can't implement a congestion charge is leaving this money on the table.
Dataset Augmentation: Train NNs with Limited Data
How big is 'plenty' I wonder? I see videos like this that look like fancy tech demos all the time, but I'm hesitant to claim this somehow demonstrates AR has found a meaningfully sized market in an industry.

Personally, I'd put money on the number of people using HoloLens outside of dev teams in applications like this being in the low hundreds/thousands, but would love to be shown data to the contrary. Cool youtube videos unfortunately do not really indicate anything.
At my company we have a few small basic API's now running on Lambda and API Gateway. We're a big AWS shop and I can't envision us ever moving to Google or Azure, so vendor lock-in isn't much of a concern. At first local development was a bit challenging, but frameworks like Serverless help with that.

Also, many don't know this, but you can run and debug AWS Lambda locally with AWS' own tooling. Using this to build out and test Lambda's before creating them with Terraform has been priceless: https://github.com/awslabs/aws-sam-cli
I assign a mnemonic to a composite (usually radicals, sometimes combinations of radicals). timerol's example in this thread is excellent; here's another example.

脂: Meaning: Fat.
Consists of 旨 (tasty) and 月 (moon). However, mnemonically, 月 occurs in many characters referring to "flesh" of some kind, and as such is what I often use as a mnemonic cue.
This creates the quite natural mnemonic cue of "tasty flesh". As such, when seeing this kanji, my thought process when repeating the character goes something like "the tasty part of flesh - the fat!".
Maybe, but it is a dangerous bet.

If a country is already producing something they can probably produce a little more: just work some overtime. To do anything more than a little though requires new manufacturing plants. Building them isn't hard, but it takes time: you risk that your expensive new plant opens the day this all resolves. If that happens you go bankrupt.
More Laptop Quirks Queued for Linux 4.19 – Phoronix
An example of live performance making money - my friend and I busked the summer after high school and made $15 an hour or so, 6 hours a day before our voices gave out. So we were each able to make around $4k for college over two months. Annualized, $24k a year is not great, but it was a lot to us, and we also got about a gig offer per week which we declined. If we had wanted to be full time musicians we probably could have had a decent career in short order.
Isn't that the whole point of the cloud?

I mean, if you care about the infrastructure there are few reasons left not to self-host.
I think this is a fair point, but I'd argue that there are two separate issues, trade policy and job training programs, etc.

We've seen a lot of innovation in the area of free trade, commerce, etc., but virtually no innovation in education, on the job training, and other areas where policy can help make the economy stronger overall.

So in my view, tariffs are used in a way that is meant to undo the damage from decades of neglect of our educational and skills training infrastructure.

This doesn't call for a more nuanced view on trade (freer is always better), it is a call for us to begin to think rationally about job training.

Whatever job anyone has today, whatever product is demanded today, etc., will not necessarily be the same tomorrow. When we pretend otherwise -- such as the fiction that first world nations should manufacture steel -- we invite all sorts of bad policy when what we really needed was honest understanding that economies change.

Keep in mind that most moral progress over time is not the result of rational people convincing others of something that was previously opaque, it is due simply to economic progress. In other words, moral progress is a luxury we buy with prosperity.

Where we lag in this area most today is that we fail to understand that we must invest heavily in job training, education, entrepreneurship, and other areas that create new life when industries change, move abroad, or shrink.

It so happens that in US politics there are some influential electoral districts that contain steel mills and which have suffered from economic globalization. Sure the easiest way to placate those districts is to introduce tariffs or use other means to offer welfare that prevent those impacted from adapting.

Most of the buildings that house startups in urban parts of the US were once used for manufacturing or meat packing. This is a good thing in the medium term.

But creating job training or investing in new industries to replace old ones is not economics, it's social policy. We should not make the mistake of confusing it with economics.
Ask HN: What are the challenges of building a deep tech startup?
I'm using Modular Neural Nets with Adaptive Topology to predict disease outbreak. The tech is pretty impressive, and I think it can generalize to a whole new category of products that target complex, nested problems current deep nets can't, including general disease diagnosis, multimodal sensing, robotics, and a few others.

How do I focus in on making tangible progress on the business side while I build out the technology further? Are there any other challenges to building a deep technology startup I should be aware of?
>reliably causes "liberal" and atheistic feelings

I'm sorry, where are you getting this from? That seems contradictory to common knowledge in this subject, and if you want to do a silly thing like label certain behaviors "liberal" or "conservative" in the context of U.S. politics.
This needs to be emphasized more - Economics is given a bad rep for creating inequalities, but the field is playing with half the handbook - domestic policy in the form of fiscal policy (i.e. decision on how much and where to spend $), as well as distribution policy (i.e. how much redistribution to engineer via taxation/subsidies, etc.) has never been in the hands of any real economists - domestic politics has always taken the forefront in these decisions, and rightfully should take the blame for the results.
"Firefox integrating targeted sidebar ads based on selling complete browser history".
I think the onus falls on you to justify why torturing an enemy is "more good" than torturing a citizen. To me, torturing someone is axiomatically immoral, and the fact that they're a citizen of a specific country doesn't make any difference to that. I don't find it "less bad" to torture someone one day before they get their green card than one day after.
With AR UI won’t need to be constrained to windows either. It can be much more integrated into our environment and tools. Virtual ‘screens’ are a natural but kinda dull progression to that point. Although I think we’re a lot further off from realising comfortable, everyday virtual screens in AR than fifteen years. One of the interesting facets of VR is that we can already start playing with these new ideas.
I'm not proposing anything. I'm saying that training should be factored in when considering development costs. The notion that training is always a one-time investment that can be pretty much ignored if you plan to stick with some tech long-term is a fallacy.
Yes, they can—but they still need a security screening to do so. The point of the security screening is precisely to figure out whether you're "just" a reporter/fisherman/etc., or you're actually a spy or catspaw for a foreign power.

Though, to be clear, "security screening" is a bit of a misnomer here. It isn't a one-time thing. The point of giving someone a security screening isn't really the pre-screening that occurs when you first sign up; it's the continuous monitoring you are implicitly signing up for.

My understanding, from conversations over beers with a few friends retired from the US Navy and NSA:

Signing up for a satphone (or a NEXUS card, or a private pilot's license, or any of a number of other things—including, obviously, secret clearance or access to a security compartment) marks you as a Person Of Interest in PRISM and other monitoring systems. In response, the monitoring systems begin actually caching the event data they see about you into an online data warehouse, rather than just feeding it all into a data lake. The data warehouse is queried out, for each new PoI, to build an individualized ML model (Palantir Intelligence, I think is the software?), where the data initially gathered during your pre-screen is used as the training data—in est, a behavioural baseline. Once the individualized ML model for you is established, it will be run as a batch process (along with thousands of other ML models), about once per day, against any/all newly-arrived PoI event data in the data warehouse. The ML model spits out prediction error; and the system flags anyone with consistently high prediction error as being in need of re-investigation.

In other words, by signing up for a satphone, you're asking the government to keep a detail on you to see if you do anything out-of-character. Just, y'know, a detail that's 99% automated.
How Rust made me rethink my view about compilers
What if we cancelled the debt?

https://mises.org/wire/why-not-repudiate-national-debt
Another way to see it is that we accidentally stumbled in a way to surgically improve the human brain by damaging the part that holds us back ;-)
If a foreign government subsidizes manufacturing of things that are exported to the US, it is taxing its own citizens and effectively paying US firms/individuals to import those goods at a discount.
The line between plugins and features is only useful if it's meaningful. Pocket is, by every appearance, a bookmark service. Why is that integrated into the browser? There's already Firefox Sync. It should be opt-in; I'm in agreement here.
I meant corporate welfare.
At least Wolfram Alpha agrees with Toyota data.

Surely van der Waals should provide a better model here, as we're having pretty dense gas which is far from ideal. So I'd assume it should be van der Waals model; not sure what Wolfram Alpha actually does.
Don't mix short term and long term. Short term we have 25% tariffs. What about long term? Trump has stated some goals that would end the tariffs. If he succeeds that changes things and it is worth the short term trade.

Of course who knows if he will succeed. Ask me in 20 years what the real result was.
I thought the article would focus a bit more on the "or don't" part. I think Courtney Love's article on the economics of being a new musician would have added an interesting perspective to the (already complex) issue: https://www.salon.com/2000/06/14/love_7/

Edit: note that the article is from 2000, and the landscape has changed a bit since then.
And then there is BRICS--countries that have the means to use the modern tech, but the governments are too weak or too corrupt to enforce regulations.

This tech has its merits, if done right it can increase the overall efficiency of hydrogen tech, however carrying kgs of ammonia in consumers' cars or tons of it in local gas stations when mere grams can kill you is pushing it too far.
We migrated a while ago all our python docs from sphinx and the free readthedocs to mkdocs. Two main reasons:

- we like markdown more and starting (actually we converted to markdown with pandoc) with a bunch of markdown files was a breeze. We also did not lost advanced documentation features because there are plenty of fantastic mkdocs plugins.

- readthedocs was unreliable for us but we also did not wanted to pay for our open source software documentation generation + hosting.

At the end we have an auto generated mkdocs with GitHub+Travis and all searchable with the fantastic mkdocs static page search functionality (maybe the biggest feature of mkdocs)

End result: https://docs.pybossa.com (hosted on GitHub)

Source: https://github.com/scifabric/docs.pybossa.com
Ed Cooke is the guy who interviewed Dr.Yip who memories the whole dictionary along with page number and location in the page where the word is on. Search Youtube. It's amazing. Josh Foer later learnt an Africa language in 22 hours.
Sysctl and THP Test
I use .Net and Serilog for structured logging. Each log entry can be a structure with name/value pairs instead of just a stream of text. Most of the time it’s JSON.

You have various outputs (sinks) where you can send your logs to almost anywhere - AWS CloudWatch to its own group/stream where you can trigger alerts, a NoSql database like ElasticSearch or Mongo where you can do queries against properties.

You can also have every log entry tagged with metadata like the application name/EC2 instance, AMI being used either globally or within a “context” (everything that’s called inside a using block).

Why anyone would do unstructured logging in 2018 is beyond me.
Obviously he's at an age where many people suffer from reduced mental and/or physical capacity. I would think that's a concern for a multi-year investment such as a TV series.

To what extent does current medical science let us predict how healthy a particular 78 year old will be for the next few years?
Difficulty Making Progress? Give Yourself Limitations
I must say I'm excited. I hope the series does not devolve into modern theatrics seen in typical film these days - explosions and little plot or character development. These were the characteristics I enjoyed in TNG, as we got to learn about who the characters were, their aspirations, and how they lived their lives in this futuristic version of our space-time continuum.
I disagree. While white balance, focus, and even flash control have improved to the point that beginners can safely ignore them to focus on composition, in my experience exposure compensation has lagged behind.

Take SnapChat for example. It's a great gateway into photography, because it's fun and accessible. But god forbid you ever pose a subject against a white background. You're just looking at a grey mess with a dark blob in front of it.

At least the camera app on my Motorola sprouted a compensation dial a couple years back. That made me very happy, and comfortable enough just to carry my phone around for casual photography.

To mirror your reply, a perfectly composed picture where the subject is just a black blob against a generic blue sky exposed to middle grey is still a bad picture. I'm not disagreeing with your advice; but I don't think it's either-or.
You've clearly never done any work (either development or UX) for a website. If you don't know how your users are using your product, there's no way for you improve it. If the people working on the website want real usability data, then tracking is the best way to get it. Focus groups and forced testing can only give you so much information and it's not exactly easy to get a group of people that includes active users of your site.

I know you didn't intend it this way but your response smacks of complete ignorance.
NASA didn't have the funds to get me a monitor with an HDMI port for 6 months when I worked there. They absolutely do not have the money to get to Mars.