skysight-inc/HackerNews huggingface dataset:
You’re wrong Quincy agrees with the article. The emotion part is what the article addresses. You gotta have that “swing” and that can’t be learned or taught, it can be enhanced, but you can’t practice into having it. As Quincy says it comes naturally, but not everyone has it. If you have the emotion part you can develop the techniques, but no the other way around.

My wife is a very good piano player, but she doesn’t have “it”, she sounds like a robot playing, it’s painful to hear, but she plays in time, all the right notes, but it’s just not there.

In drawing it’s most evident, some people can draw and others can’t, no amount of practice will help me. The emotion side of things kicks in more so with drawing.
Water is wet?
What Big Hedge Fund Fees Pay For
Please don't take HN into full blown ideological flamewar. The more generic such tangents get, the more unmoored they become from anything specific the thread is discussing, and the more of a black hole they turn into.

Your comment here is emblematic of exactly what HN discussions need not to do. That requires the strength to resist temptation.

https://news.ycombinator.com/newsguidelines.html
Perhaps you should read the paper to find how the title is not false?
The usual method with brick houses in Britain (two layers of bricks, air in between) to improve the insulation is to drill holes and inject foam.

It's called cavity wall insulation. I don't know if the method could be applied to a wooden house.
You're missing the other half of the picture. How many were deterred because of prison? Would it have been 2 or 5 or 10% were it not for the deterrents? You can't say.
Extension for navigating between most positive reacted GitHub issue comments
Oh! I watched your tiny home tour a while ago! Yes, I can see why your definition of a well sealed home is likely a lot different than what would be considered "well-sealed" for a typical new home, as well as why concerns about oxygen and CO2 are a factor.

I mentioned that HRV's are essentially standard where I live, which is in Canada, so I think our largest concern here has to do with condensation which can quickly become an issue in any non-drafty indoor space in our extremely cold winters. If the HRV is not set high enough in the winter, ice will build up on the inside of our windows and then melt into the wall structure, causing potential issues.
Searching for lithium deposits with satellites
"Our study suggests that 3 months of imprisonment in an impoverished environment may lead to reduced self-control, measured as increased risk taking and reduced attentional performance. This is a significant and societally relevant finding, as released prisoners may be less capable of living a lawful life than they were prior to their imprisonment, and may be more prone to impulsive risk-taking behavior. In other words, the impoverished environment may contribute to an enhanced risk of reoffending."

https://www.frontiersin.org/articles/10.3389/fpsyg.2018.0006...
If you just care about GPU compute and not much about the shape of the API or it's overhead, then something like OpenGL ES 3.1 Compute Shaders or WebCL would be much easier to reach than WebGPU, technically.
Company Culture: Why You Need It to Achieve Massive Success
Ah it took me a minute to parse out that they were distinguishing general music ability from proficiency with an instrument -- yes, this is believable, the weak effects of learning transfer are pretty well-documented in general education and athletics, which Bryan Caplan has been writing about lately http://econlog.econlib.org/archives/2018/02/learning_transf.....

On the one hand, I think playing in an ensemble is crucial for learning rhythm discrimination and that there probably would be transfer there. On the other, perfect pitch is all but unlearnable and that presents a huge, entirely genetic advantage for some folks on pitch discrimination tasks.
Have you tried using link-time garbage collection? The library is designed in a layered way, such that the core serialization does not depend on the "dynamic" features, so if you don't ever call "dynamic" features then link-time GC should be able to drop a huge chunk of the lib.

There's also "lite mode", which #ifdef's out all the dynamic stuff:

./configure --disable-reflection

Although it isn't as aggressive as it could be. We should fix that. I filed an issue:

https://github.com/capnproto/capnproto/issues/634

There is also a C implementation of capnp which I believe is designed for small footprint, FWIW.
You (the user) decide. If you want to fork Nano/XRB to undo the hack - assuming that is at all possible - just edit the code, and release said version to the public. Then you will have done what happened with Ethereum after TheDAO hack.
I'm reading Annie Duke's brand new (and excellent!) book called "Thinking in Bets". She suggests that placing monetary bets is a good way to force yourself (and possibly others) to reason about how they know what they know, consider what the other person knows that they don't, etc.

In prospect theory, I think this is akin to triggering the Type II system (the "slow" thinking).
Extract from Andrew Moore's PhD Thesis: Ecient Memory-based Learning for Robot Control
PhD. Thesis; Technical Report No. 209, Computer Laboratory, University of Cambridge. 1991.

[1991] https://www.ri.cmu.edu/pub_files/pub1/moore_andrew_1991_1/mo...

Table 6.4 describes my actual implementation of the nearest neighbour algorithm. It is called
with four parameters: the kd-tree, the target domain vector, a representation of a hyperrectangle in
Domain, and a value indicating the maximum distance from the target which is worth searching.
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Maybe find another CEO in exactly the same situation at another company and swap?

Chamge of scenery, same issues but fresh motivation.
AWS makes $20 billion a year in revenue.

Maybe it's possible that you're wrong?
I think that is an overly charitable view of the scope and variety of propaganda. The term "propaganda" is broad enough to include 100% accurate but carefully selected information, information based on facts but presented with spin or misleading framing, and 100% fictional information.

In my mind, unifying idea of "propaganda" is that it is designed to mislead and cause the consumer to draw conclusions different than what might otherwise be reached via an accurate and truthful understanding of the issue. There is a notion of "intent" in propaganda that is absent or explained more by ignorance and naiveté in "fake news".

The idea of "fake news" certainly overlaps with propaganda, but it also includes genuinely sloppy reporting and inaccuracy introduced by ignorance of the subject matter and a willingness to repeat and mimic true propaganda. The sloppiness and inaccuracy often occurs due to confirmation bias in the reporting process.
On other news, water is wet!!!

Imagine what kind of society it would be if the number of convicted felons and ex-felons (of violent crimes alone!!!) would be a significative percentage of the population.

Either, it would be a Mad-Max world where everybody would be shooting and stabbing their neighbour for the most ridiculous reasons; or we would all live under the boot of a Despotic Government that would put you in jail for the tiniest displays of non-compliance... like, calling "violence" to scowling at some annoying person or another.
Do you have a citation for that? It’s not what we’re talking about – no one is being criticized for actual science – but the coverage I saw didn’t support that claim at all.
(Oh man, Star Trek... Artificial gravity that no one ever talks about. Gravity control would be a total game-changer.

Also, One day I realized, how does the Klingon disintegrator ray stop at the soles of the boots? It never disintegrates the floor.)
There are groups and companies exploring probabilistic programming as an alternative to CNN and other deep learning techniques. Gamalon (www.gamalon.com) combines human and machine learning to provide more accurate results while requiring much, much less training data. The models it generates are also auditable and human readable/editable - solving the "opaque" issue with deep learning techniques. Uber is exploring some of the same techniques with their Pyro framework.

Having said all of this, we're not arguing that CNN have no place - in fact you can view CNNs as just a different type of program as part of an overall probabilistic programming framework.

What we're seeing is that the requirement of large labeled training sets becomes a huge barriers as complexity scales - making understanding complex, multi-intent language challenging.

Disclosure: I work for Gamalon
It may make you laugh, but when I was homeless, someone gave me an outdated iPad thinking that would help me out. It was essentially useless.

A lot of people who have old phones have them because they can't afford anything newer. The pressure to constantly update to newer hardware is a hardship for poor people. It de facto is one of the ways they get excluded from modern life.

I am also real freaking tired of Google apps being a suite on my cheap phone that constantly updates and threatens that you may break other apps if you disable this one. It makes it very challenging to add any apps to my phone. And my wants and needs are not huge. But Google is eating a large share of the storage space and eats into my time for clearing the cache, etc, to keep the phone functional.
>We can’t afford universal education and healthcare

Countries can exist without universal education and health care.

They cannot exist without national defense (whether provided on their own or through an ally). Sorry, that is simply a fact.

Also, national defense is a clearly enumerated function of the federal government per the Constitution. Neither of the other two is.
> My wife is a very good piano player, but she doesn’t have “it”

Absurdly subjective. If you can neither qualify nor quantify "it" you shouldn't start levying it as some standard of quality.
Just have a look at the public discourse in Sweden and you'll soon find out your position is untenable. While you are right in stating that the majority of the population will not find [these assertions] racist (or xenophobe, islamophobe, etcetera) there is a big discrepancy between what people think and what they can state out loud for fear of being called just that. This is due in part to the fact that the media - print and broadcast - are very active in disavowing such standpoints and putting those labels on people who hold them. This in turn is most likely related to the large difference in political affiliations between the public at large (where you'll find an about even divide between "left" and "right", largely clustered around the centre) and those who work in the media (89% on the left side, 78% of which on the extreme left [1]). As those who are stamped with such a label can expect to be shunned by both friends as well as employers this habit of vocally labelling anyone who steps outside of the left-of-centre narrative as racist has created an atmosphere of fear for being pointed out [2].

So yes, at least in Sweden you'll voice an opinion like this at your own peril. You describe yourself as a radical leftist (and a radical feminist). I can all but guarantee that you would be an outcast among your peers if you even hint to having such opinions. A good example of this phenomenon can be found with Amineh Kakabaveh [3], a Kurdish woman who was shunned her party [4] because of her active stance against honour crimes, for women's rights and secularism.

[1] https://jmg.gu.se/digitalAssets/1284/1284227_nr38.pdf

[2] The wall seems to be crumbling a bit now that it is nearly impossible to remain ignorant of the facts. Some politicians still try to keep up the narrative but critical voices are now heard even in some mainstream publications.

[3] https://en.wikipedia.org/wiki/Amineh_Kakabaveh

[4] "Vänsterpartiet", they used to call themselves the left-wing communist party but ditched the "communist" term after the dissolution of the Soviet Union
It's hard to say how much is this about scaring the government into action (AI-McCarthyism), or about being jealous that China is not constrained like Western countries are when experimenting with AI because of ingrained in society respect towards privacy, human rights, having to listen to the public opinion (democracy), etc.

In another HN thread about AI, big corporations and China, someone mentioned that big American IT corporations are very active in China, offering their tech for pennies just to be able to test it on a wider scale, because in the West they can't do it (regulations, human rights, etc.).

There are many problems unsolved, where a lot of grunt work is needed and little progress has been made in the last decades - healthcare is expensive, many diseases are still uncurable, production is still cheaper to outsource to other countries than do it locally because automation (not just AI, also sensors, computing power, materials, etc.) are not there yet.

I think the general trend to see current AI iteration as the magical solutions to all problems is dangerous, as usual the reality is much more complex and should be tackled in a more thorough manner. Why not pay AI-specialist pay to get the best people into healthcare, new material research, etc?
It happens over time, but there is a lot of collateral damage in the meantime (the luddites never retrained because of the automated looms, they simply died out).
>Just this week I ran into an NPR fact checker claiming "It’s true that an immigrant can sponsor extended family members for visas"[1] (in context, talking about immigration visas), when that seems to not be the case at all[2].

How do you figure? The USCIS page talks about the program mentioned by NPR, where a limited number of visas are available for extended family of US citizens.
Is OPAM finally abailable for Windows? If not, it‘s definitely worse.

That‘s something Rust got very right from the beginning.
Thanks for these suggestions. I, at least, am going to try them. I've used Thunderbird for years, then recently switched to Evolution and Gnome. But whilst gnome looks pretty I'm not really finding it a good fit for me.
This gives me a final shove to try KDE so thanks for that.
The Sad State of the Modern JavaScript Landscape
It takes 3 technologists to create a robot that can do the job of hundreds.

So if that robot took the job of 100 laborers, then lets say those 100 laborers decided to become technologists... then for every robot made we'd have 3 technologists employed to design robots and 93 technologists unemployed. How is this problem solved? Please don't say universal income.

Knowledge has the property of needing only a few people who can fill demand.
Not everyone can become Michelangelo, but anyone can become fairly proficient with a piece of charcoal with just a few months of instruction (given motor abilities that fall within the norm, but I don’t think this is what you were alluding to)
China was actually never that unindustrialized in recent history. They broke through subsistence farming at least 2000 years ago, so the current miracle is really more of just returning to a former prosperity than a huge leap in society development.
The problem is that it went obsolete artificially in a horribly short timespan, with no alternative way of keeping it going. If Apple didn't lock down their systems, we could keep it going quite easily. I have plenty of Android phones that, while they don't get updates from the manufacturer directly, still get patches by running LineageOS or one of the other variants.

I'm not saying Android is great here, I think it's a terrible system, but it's not nearly as artificially hampered as Apple's stuff is.
Could you recommend any resource for gaining that understanding of options? Not just technically, but in terms of the strategies you've sketched here (obviously I can and have googled the definitions).
I never said no military. I said a reduction in spending. We overspend and egregiously waste on ours. That’s my point. Good chat.
The "even in Michigan" was carrying implicit information. The relative humidity outside right now it 51%. It's -10°C, the dew point is -18°C.

So during the winter houses that aren't incredibly well sealed need humidification more than they need dehumidification.

During the summer it gets quite humid even when the temperature isn't all that high.
> I have funds to invest but every time I look into getting into I cannot bring myself to do it because I cannot stop my brain thinking it's gambling. Without insider knowledge I don't understand how I could beat the market short term.

If you have programming skill and a good understanding of statistics, do the following:

1. Identify a subset of equities in the total market which a) have fairly one dimensional revenue streams, b) have a market capitalization of at least ~$1-2B, and c) are not prone to extraordinary hype or tech-centric accounting, such that e.g. a "win" or a "loss" in an earnings announcement is fairly straightforward to understand (and therefore you can more easily, if not perfectly predict how the market will react).

2. Identify a strong, legal source of alternative data that maps directly to the revenue stream of one of these companies. The more difficult to find and collect, the better. Use your programming skills to automate the collection and curation of this dataset.

3. Incubate your dataset for a period of several months, then build it into a timeseries. Using the timeseries, build a model that forecasts the expected revenue of each particular company using historical 10-K and 10-Q documents.

4. For the companies whose data imply a jump in either direction that is very unexpected (according to e.g. the aggregate analyst consensus), take a contrarian position in the equity. If you're feeling very confident and have a higher risk tolerance, study options and take the corresponding derivative position.

5. In particular, establish a target win rate overall, a target tolerable drawdown period overall, and a target exit price (sufficient win or bearable loss) for each position, then follow it.

If you do this correctly and consistently, you will profit significantly and consistently enough that your system will be fully distinguishable from uninformed gambling. To equip you with a bit of meta-analysis here, this outline works because a) all trading strategies profit from finding opportunities to exploit pricing inefficiencies in various securities (or groups thereof), and b) the only way to deliberately identify those opportunities is by having information, access, or techniques that the broader market does not have yet (or else the price would reflect that information).

The great difficulty in this process is finding and analyzing the alternative data in the first place. As a fallback, if you're not confident you can build a trading strategy with this data you can also sell it to hedge funds, who will be very happy to buy it if it actually maps to revenue and is otherwise unknown.
Ok, let's try your title. I had to slightly compromise its grammar to fit the year in there too.
No, the incentives of taxpayer funded defined benefit pensions (lifelong annuities for worker and spouse) are unsustainable.

Problem 1 is the inability to forecast 30 years into the future, problem 2 is the people whose money is being spent (future taxpayers) aren't in the decision making process.

Problem 3 is low voter turnout among non government employee populations, so politicians do whatever they have to make sure government employee unions vote for them.

Problem 4 is no requirement to actually provide accurate funding, because the costs will be understated in the first place (see problem 3), and the liabilities are far into the future so money will be diverted for other pressing matters.

If you think the above is not correct, all you need to do is look at the funding status for all the taxpayer funded pensions in the US, conveniently exempt from the rules that privately funded pensions have to adhere to (which made them disappear because it turns out they're too costly).

However, as long as the US can print money (I.e. have a powerful military), then they can inflate away all these debts the taxpayers have so just try to make sure your assets are inflation resistant, preferably in high cash flow businesses with barriers to entry that can sustain price increases.
Who ever made such a claim?

The claim I'm familiar with is that a performer who practices decreases the probability of a catastrophic mistake in the performance and increases the probability that their musical ideas will be conveyed clearly during the performance. So given two performers or roughly equal ability, hire the one who practices.
I would recommend, as a general practice in any language, to never assume that version numbers signify anything other than chronological order. Apply the same level of caution and verification to upgrading a dependency from 5.1.1 to 5.1.2 as you would when upgrading from 5.1.1 to 6.0.0.

People are inconsistent with semantic versioning, so it can't be trusted. Even people who have been consistent with it in the past may behave differently in the future. I've been burned too many times and I won't even do minor version upgrades anymore unless I have 100% test coverage on the parts of my code that use the dependency.
CCEmuRedux – ComputerCraft Emulator Redux
> Men may be the majority of Google employees, but they clearly aren't the majority of the population. That suggests there is discrimination somewhere, either in Google's hiring approach or in wider society (it's unlikely that there is some innate difference between men and woman that would account for such a disparity).

OP was citing Damore's claim about population level differences. Damore's claim wasn't that the US is 80% male so of course Google is 80% male, it's that men and women have different distributions for a given trait (hence, "population level differences") and these differences in distribution might account for Google's demographics better than discrimination. One such population-level difference is that women are far more likely to choose careers that are flexible or to leave the workplace altogether to start a family. By itself, this difference doesn't likely account for the whole disparity, but there are others as well--women prefer to work with people as opposed to abstract reasoning systems. It could even be true that men and women are on average exactly as qualified to be a Google engineer, but that men have a flatter distribution (more representation at the extreme low and high end of the distribution) and that Google samples from the high end, ergo selecting more males. Greater male variability is common in lots of species (including humans) for lots of different traits. It's also interesting that female participation in STEM is inversely proportional to gender equality; countries with very high gender equality (e.g., Scandanavian countries) have relatively few women in STEM while cultures with less gender equality (the middle east, India, China, etc) have far greater STEM participation. It also seems unlikely that discrimination is the cause since women achieved parity in medicine and law in the '80s and '90s when the fields were notoriously, overtly sexist, but the tech industry can't move the needle despite sinking tens or hundreds of millions into "diversity". It seems entirely likely that innate differences play a significant role.

There will undoubtedly be a lot of (otherwise very intelligent) people who will read "population level gender differences" and interpret it as "Wait, you're saying X is true for literally every woman?! How can you generalize like that?!". Of course, this isn't what I'm saying or what the OP said or what Damore said, so let's not go down that straw man rabbit hole.