skysight-inc/HackerNews huggingface dataset:
> just look at all the people denied legal process

Relying on a few references - precisely because it's not common - in a country of 330 million, does not support your claim. The reason cases of denied legal process get so much attention in the US, is because they're rare. The reason a million detained Muslims in China isn't causing an uproar in the Muslim world, is because they know China has no protections for human rights and it does no good to protest. Contrast that with the protests regarding Abu Ghraib. Why was that an massive, international embarrassment for the US, if it's just the same as China?

> it's just as corrupt and capricious as all the rest

Saying it, does not make it so. The fact that that is incorrect, is precisely why so many people - of such diverse backgrounds - want to immigrate to the US and have for the past century. Much of Latin America would immediately immigrate if given the option, because of how corrupt the majority of Latin America is (see: how low Latin American nations rank [1]).

The US routinely ranks high among nations on the quality of its justice system, the independence of its judicial system and its protection of property rights. That has been true for a very long time.

Transparency International ranks China #88 on corruption and Russia #138, to name two prominent examples.

Denmark is ranked #1 for lowest corruption, New Zealand is #2. The US ranks comparable to France and Japan. So your premise is there's no difference between the US, Denmark, New Zealand, France, Japan, China and Russia - since everyone is just as corrupt and capcricious as all the rest.

Of course that's not true. The US is a liberal democracy with vast protections for human rights. China and Russia, as contrasts, are regressive dictatorships with few protections for human rights.

[1] https://www.transparency.org/cpi2018
You can easily can sbrk (or mmap) from C directly.
Yeah, agreed, the real problem does not occur in mere math calculations.

The problem occurs when you liberally allocate a dynamically-sized list of dynamically-sized lists (possibly of a union of different data types). That situation will always throw up an engineering trade-off between memory size, algorithm performance, and code complexity.

The solution will usually consist in severely constraining and restricting runaway flexibility in the data structure being managed, simply because it won't badly affect real-user use cases. Once in a while the strategy will exact a serious and real price anyway, but hey, you cannot please everybody.
> you'd have to store the biomass in a form that doesn't decompose

Which for everyone that doesn't know, this is why if even today we stopped net greenhouse production world wide the planet would still warm. Because there is biomass underneath the ice that will (is) be(ing) released as it melts.
No it’s not just as corrupt as all the rest. I agree there is corruption, but to equate corruption in all countries is bogus. Nuance is important in this case.
I dunno, why do people play golf?
So true and a great way to think of it.

I moved to weighing the benefits of proving someone wrong vs. ignoring and nodding. Will help to reduce the number of arguments you get into and make room for the important ones.
I agree - it's a problem worth solving.

Re: not having data to QA model, you can use the distribution of the generated labels to inform model updates. Alternatively you can get labels at the edge using a local edge interface then use those.
>That is why C is considered low level.

C isn't a low-level language
https://queue.acm.org/detail.cfm?id=3212479
David Poeppel on machine-learned models vs. “normal science” [at 1:18:03]
Relevant and good article about climate change and politics in the 80's https://www.nytimes.com/interactive/2018/08/01/magazine/clim...
Cassie Biped Robot
Weekly Robotics #28
Just wait till bots/ai gets good enough to spout bullshit. Just fill forums with thousands of argue-bots and you might be able to make the noise ratio so bad the internet is unusable.
Yea seems like the biggest problem will be Facebook’s hairpin ban hammer if IP/geo/whatever isn’t to their liking. Good suggestion re client side, will consider that as an option. Any other discussion groups you’d suggest on this topic?
NLP Research Breakthroughs You Can Apply to Your Business
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We are looking for Software Engineers to be based in Copenhagen. You will be responsible for Designing, implementing, deploying, and maintenance of customer-facing analytics products. Have a look at some of the cool stuff we have built: https://maerskdigital.io

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More people than you think and it gets more common over time.
$3690/month * 12 months = $44280. If you're making ($44280 - current rent in your city) more for a SF job, you net out ahead, even without considering stock options.

(It's also significantly more reasonable in the South Bay - my family pays about $2650/month for a 2BR, and most of the fat Facebook/Apple/Netflix/Google salaries are in Silicon Valley proper.)
Thanks for posting! Your process sounds really great at getting to know and feel how a candidate thinks and works with people.

Is the ping pong approach, tdd, and time involved communicated to candidates before the interview date?
Hi HN!

It's been over 200 days that I've been working on this series now and from time to time I see that some of you actually read it!

If you can offer any feedback for anything related to this newsletter then I would highly appreciate it!
It just keeps exploring locations adjacent to locations it's already explored.

It chooses the next location by whatever one has the lowest "length of best known path to get there + estimate for distance to goal". The estimate for distance to goal is usually something like "distance as the crow flies".
Yes, exactly. You can even do that from any arbitrary scripting engine that supports executing arbitrary C functions.

For example, here, complete access to the linux/bsd/osx system call interface, including sbrk, from lua: https://github.com/justincormack/ljsyscall

Just load libffi (https://sourceware.org/libffi) or a similar module in any arbitrary language, and off you go!
Ask HN: Do you want email parsing API for free?
AirHelp.com helps passengers get compensation for delayed flights. We’ve combined deterministic programming (RegExp, XPaths, etc.) with some fancy NLP stuff to build travel email parsers that perform equally well as Google’s proprietary parsers. Now we’re thinking about allowing anyone to use our parsing API to power their own projects, for free. In exchange we'd like to inform email recipients, that have been delayed, that they deserve compensation.

Would you use it?
Do you really want to understand monads? Here is how to do that in 2 steps.

1) Go to https://www.haskell.org/ and install haskell for your platform

2) Go to http://learnyouahaskell.com/ and work through the book.

I guarantee that by the time you finish going through it, you will have a good understanding of Monads.

Trying to understand monads when you have only worked with imperative languages is like trying to understand heterosexual sex without ever having seen a member of the opposite sex.
The following open access publications give a broad overview of NETs:

Part 1: Research landscape and synthesis: https://iopscience.iop.org/article/10.1088/1748-9326/aabf9b

Part 2: Costs, potentials and side effects: https://iopscience.iop.org/article/10.1088/1748-9326/aabf9f

Part 3: Innovation and upscaling: https://iopscience.iop.org/article/10.1088/1748-9326/aabff4
In terms of "technology", there are nothing, but Huawei do have the some of the best if not the 5G Base Station and 5G implementation. And they are actually cheaper.

Lots of propaganda materials or internet trolls, or paid keyboard warrior tends to name Huawei being the No. 1 in 5G patents, (which is not true) bringing the most innovation and doing majority of the 5G standard works ( Which is again not true ). And they will attack or threaten you for saying it is not so.

Huawei have the best implementation, one reason because they have much more resources and has a very diverse testing scenario. Just as the letter noted, they have system in Artic Circles and to Sahara, their equipment are well tested in these Edge Cases, and they have 900M Smartphone population in China to test again the most crowned situation, and in places like Hong Kong where not only do you have the highest mobile density within given radius, there are huge amount of concrete building making it extremely difficult for wireless reception.

And another major point, their competitor sucks. Ericsson and Nokia, whatever is in their management's mind I have no idea. But thanks to competition from Huawei it was a wake up call for them and they are finally not sitting on their bottom and doing nothing. Ericsson manage to shake things up a little should be in a slightly better shape. Nokia, whatever happened to them during the M$ / Nokia era, and they were never the same again. Samsung, which for some reason hasn't been in media spot light, are working hard and I expect them to fill the gap. The only problem is Telco Equipment tends to have an extremely long lead time, Samsung might be too little too late.

The problem isn't with technology, it is many of the western MNO have Huawei equipment in one form or another for their 4G, and some of these hardware are 5G ready meaning they are upgradable to 5G via software update. Switching out Huawei now means they will have to redeploy all those infrastructure that are already in place. And it is labour intensive as well as time consuming. Which is why many MNO are frustrated.
The html is nice and light (I had a look bc I appreciate sites with zero bloat). The problem is with the reader that can't cope with:

body > div class="content"
“Various Artists – Topic”  2 million YT music videos
From experience, if you lose a caster the chair won’t balance on the remainder, it will thud down on the leg. What more legs does however is more evenly distribute the load, which is important when rolling around, leaning back and all, of the other things we do in office chairs.
>You know what? Just let the world be.

So don't comment then, if you want to let the world be.

>because of losing the technology race

It's not that US companies are "losing the technology race." If you read accounts from actual employees of partners, contractors, and others in the industry who work with Huawei, what you will read is that apparently Huawei has set up systems and incentives for copying and stealing technology.

And then to pair up with that, it sounds like they have been extremely aggressive about patenting everything they can identify as possibly patentable, which would include, if you think about it, others' technology innovations and techniques that they have stolen.

So it seems these people, with these ethics, who also happen to be organized under a unit of the Chinese military, end up getting IP protection on things that others invented, in areas that are critical to sensitive global communication standards that will cover transmission of private, commercial, governmental, and otherwise sensitive data.
> Name "spokesperson" for bitcoin and they'll have a rather sketchy history. I cannot name a single person at the top of the bitcoin food chain that is a "normal person".

I'll bite. What's the dirt on Andreas Antonopoulos?
That's already the case, I think.
But people who have better insight into the real performance of those companies can make more money if more people just apply magic formulas.
Don’t risk doing permanent damage to yourself. Peripheral Neuropathy and other CNS issues caused by heavy alcoholism may not go away.. If you’re still able to think and feel normal now you’re at a good stopping point and are lucky. Once you tip into permanent damage it’s easier to keep drinking to treat the symptoms, pain, or insomnia caused by chronic alcoholism. It’s hard to fall asleep when your nerves feel like they’re on fire.

The only end is death when depending on bottles a week.
No one's proposing to build a sewage treatment plant on this land. It's just more housing, in a city where people go without a roof over their head because it's too expensive. There's no "nuisance" here, only landowners trying to assert rights over their neighbors' property.
If I remember correctly VLC regularly receives bug bounty reports declaring it as a security vulnerability that their source code is available...
Last paragraph explained what happened:

“And Facebook, upon looking into the ad, said I was targeted because I was part of a look-alike audience that resembles customers, uploaded by the advertiser, who apparently are in need of maternity-wear”
A few years ago I returned to the gym after doing no exercise for the previous six months or so, had a particularly intense session, and, upon waking the next day, couldn't open my arms past 45 degrees. The pain lasted about a week.

I've been able to prevent this from happening again after any sort of hiatus by making sure to build from low to high intensity over two or three sessions. Something about doing a couple of low intensity workouts primes your body to respond better to any proceeding exercise in the coming weeks. I haven't had any crippling delayed-onset muscle soreness since using this trick.
> What is that cost?

By some estimates it's double digit percentage points off US GDP

https://www.nytimes.com/2017/09/06/opinion/housing-regulatio...
SchooLinks | Experienced Full Stack (Django + React) | Austin, TX or Remote

schoolinks.com

We're a college and career readiness platform currently being used by many large school districts, including Dallas Independent School District. We're looking for a mid to senior level, experienced, full stack developer to join our quickly expanding team and looking to leave a lasting impact on a product that leaves a lasting impact on students' lives.

Requirements/About you:

- Hunger to really understand problems and data from a conceptual level— we don't just want to tell you what to do do, but want you to figure out how to solve problems with data integration and framework design. We're building for speed and scale
- You are not comfortable just building what you're told... specifically you must be comfortable taking ownership over technical decisions about code structure, tooling, and be interested in the actual product you're working on
- Looking to grow professionally (and ideally looking to do it quickly!)
- At least 4 years of experience shipping production quality code in both the FE and BE
- At least 2 year of experience in Django OR React (we can help you get up to speed in one, but not both)
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- You either want to be coming a technical manager or are open to that possibility in the future (we're looking to actively groom technical leadership in our organization)
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Apply at https://angel.co/schoolinks/jobs/514197-full-stack-developer... or if you have specific questions you can contact me via email at mike[at]schoolinks[dot]com (I run our engineering team and doing the hiring for this role)
This is a very useful tool and helped me understand Jump Point Search for a hobby project, which as it turns out is significantly faster than A* for certain use cases.

Are there any path finding algorithms for orthogonal grids optimized for frequent changes in the environment, particularly moving opponents in a game where you can't predict their next move with certainty? A* and friends do well at finding shortest paths between a start and a goal, but what if the obstacles change after you start along that path?
Did you lose a child? Or, at you depressed because you have yet to produce one?
Decent article. If you want more along these lines try Cryptome: https://cryptome.org/2012/07/gent-forum-spies.htm

The strategies of information are fundamentally the same as for other forms of warfare, but the operational calculus is very different.
There is. It's called physical exercise.
At the end of the day arbitrage is zero sum, there is a fixed amount of money to be made from this market inefficiency (based on your margin, your costs and the amount you can buy and sell). Regardless if you are the only one doing it or not (if you are not you are competing for a piece of the pie).

Note that the strategies described in this article are not arbitrage nor zero sum.
Also take home tests introduce asymmetry. Even take home test takes one hour to do, it takes 5 minutes to check. So, company can go through more candidates, wasting their time. In traditional interview, for every hour candidate spends, the interviewer needs to spend the same amount of time. Therefore, it's forcing companies to choose candidates wisely.
Three legs are cheaper than four.
Step one: Work at a company with a bug bounty program

Step two: Introduce subtle vulnerabilities

Step three: Claim bug bounty under a pseudonym (or just get someone else to claim it)
If you had a picture of someone's spreadsheet, you could type it into Excel yourself - you can't fit huge amounts of data into a single photo. Microsoft's tool would only save you a few minutes worth of typing.

For that matter, if you just get a glimpse of someone's spreadsheet, you could see something you weren't supposed to see and remember it. That's why people who work with sensitive data shouldn't be working in open-plan offices or coffee shops.
You're welcome! I went down a wikipedia black hole on economics a while back. The most memorable term I learned was moral hazard, which also sounds confusing.
How to Start Back into Programming
so, I used to be a programmer till year 2002 (Java and C) and have done reasonably complicated stuff (network stacks, credit card and banking software etc)

However, since then, I took a job in another industry to be close to take care of my parents. My personal situation is likely to change over next 6-12 months and I will be able to get to programing (if I can get a job)

I was wondering how can I come upto speed to become a good programer 15 years later? what things I need to learn?

Should I go back to school? or are there web resources or books that I should read?
The most successful fund for the last decade(s) fits more one the magic formulas side (the Medallion Fund from Renaissance Technologies).

EDIT: Oops, I misread your comment.
I don't think this tragedy of the commons type of behavior you're describing only applies to the "no n smart" people, it happens in SF and rich neighborhoods as well.
Natural cycles are approximately carbon neutral; that is why Earth has not become an iceball yet [0]. Over the very long terms, some carbon can get sequestered, which is how we got fossil fuels in the first place. But consider how long it took nature to sequester all of that carbon. Now that we have reintroduced it into the system, there is no natural mechanism to just take it back out again.

We could change the steady state slightly by increasing biomass; but that would only offset the carbon added by the destruction of said biomass, and cannot scale beyond the available space (and all other natural limitations on how much life can be put in one spot).

If we did come up with a way for Earth to just "soak it back up again" that was based on seeding some type of organic and letting it work for us, I would be extremly concerned about a global cooling catastrophe. There is no natural stop point at the carbon concentrations we want, and if we overshoot the amount we pull out, we are in for a very bad time. (Not to mention the other environmental effects that the resource sink we introduce will have. I doubt carbon would be the only resource it hogs.)

[0] It did come close with the emergence of photosynthesis. At the time, photosynthesis was decidedly not carbon neutral, as there was no counter force to consume oxygen until the emergence of aerobic organisms. https://en.wikipedia.org/wiki/Great_Oxygenation_Event
Your job when analysing data is simply to enumerate the possibilities and assign likelihoods to them if possible. If two models fit equally well, you're supposed to write them both down in the hope that someone will collect further data to distinguish between them.

If you're cutting holes in your report for political reasons, that's just not doing the job. That's what pundits are paid to do, not (ideally at least) scientists. Fraud is easy to commit, and the fact that it's possible is not that hard of a philosophical issue.
Which is one reason why few Chinese actually speak of anything negative on the topic. And sometimes it is hard to know if they have set up online discussion forum as honeypot.

One reason why Tencent investment on Reddit became such as issue.
This was my first thought too.

> medieval examples suggest that what’s important is not just legal status but how regulations affect workers’ ability to control their working conditions.

Do we really need medieval examples? Surely this is evident in modern examples too?
In all likelihood, pills were also involved. People rarely die at 35 from just alcoholism alone. It can happen, but it's rare.
Lyft plans to spend $300M on Amazon Web Services through 2021
"Humans who are not concentrating are not general intelligences": https://news.ycombinator.com/item?id=19251755
This gets causality backwards. Employers don't give a shit about whether employees can afford housing - if they did, we wouldn't have such a big homelessness problem, and our teachers/firefighters/policemen wouldn't live over the mountains in Pleasanton. Employers pay enough to prevent employees from going to a competitor. The reason FANG salaries now hit $300-400K is because Facebook refused to play ball with the wage-fixing cartel that Schmidt/Jobs/et al had worked out, then the DoJ cracked down, and so now that's what you need to pay to keep your software engineers from working for someone else. Then you have a lot of tech workers with extremely fat salaries and not enough housing for everyone who wants to live here, so they bid up rents & housing prices until they're unaffordable for all the middle-income folks who used to live here.

If more high-density housing was built, then rents would fall, middle-income people could live here again, and tech workers could pocket their fat salaries as savings (or live extremely lavish lifestyles). They would still be paid a lot, because there'd always be another tech company around the corner willing to bid up wages to their current level. For the salary "bubble" to pop, a lot of these companies would have to go out of business at once. This was exactly what happened in 2001 and 2009, and it had the predicted results: unemployment spiked, wages fell, rents fell, and people moved out of the Bay Area back to wherever they came from.