skysight-inc/HackerNews huggingface dataset:
this kind of article gives me the creep. The ideological gap between some part of the US and Europe is growing so wide that i don’t think i’d be able to work there anymore.
I'm a lot like that. Probably some mix of A... and bipolar II. I've never managed day jobs for long. So I ended up consulting.
Cheap beds increase grey matter
Show HN: Improve web search with custom search engines
An Introduction to Parallel Computing in C++
All of this seems fair, so an interesting note off of this:

I find the causality/correlative arrow here interesting as no matter the direction, there is interesting insight.
Maker here. I've put together several custom search engines that helped me fight poor Google search performance on certain queries. The search engines use Google Custom Search Engine configured for selected websites and return succinct results on general queries, especially the queries attracting SEO spammers.

The engines are listed on https://searchcommons.org/engines.html and here are some of them:

— The web minus Alexa top 1000 most visited websites https://searchcommons.org/?e=most-visited-websites-excluded

— Official docs for Python and its libraries https://searchcommons.org/?e=python-docs (feel free to request an engine for your programming language)

— Universities with Nobel Prize, Fields Medal, and Turing Award laureates https://searchcommons.org/?e=universities-with-laureates

The lists of selected websites are public and open to contributions: https://github.com/antontarasenko/searchcommons
Lying to a potential employer is a pretty bad first step. If I caught you doing it, say because someone mentioned it in a casual conversation, I'm going to fire you the same day. Same with lying on a resume even if it's utterly irrelevant multiple years later. It's also going to color any future professional interaction because you're an untrustworthy individual.

I'm pretty sure I don't want to be in a position where I'd be fired if a 10-year old lie came out.
I find it ironic that this is about citations and it costs $36 just to read. So if you wanted to cite this and somebody wanted to verify they would have to spend another $36.
wtf I am done reading anymore Russian History.
> a form of loaded language, commonly used to propagate[sic] cognitive dissonance

For anyone curious about the inversion error, the change from "quell" was made in December by a "the owner of this account has abusively used multiple accounts". I wonder whether there's tooling for bulk reverts, or if was this just missed.
This is not a javascript only phenomenon...

I regularly encounter code running off of performance cliffs like this in rails application i'm working on -- and it's incredibly difficult to climb the application out of these cliffs ...
Oof, please don't do this. I appreciate you standing up for the OP, and of course the shallow-dismissal aspect of internet comments is a big problem, big enough that the site guidelines ask people not to do it: https://news.ycombinator.com/newsguidelines.html. But they also ask you to "Be kind", plus this:

"Please respond to the strongest plausible interpretation of what someone says, not a weaker one that's easier to criticize. Assume good faith."

The best way to respond to a comment like that isn't to do to Monty Python fish slap but rather to include and expand (I almost want to say 'embrace and extend') - rodw shows how it's done: https://news.ycombinator.com/item?id=23517644
Lots of homes and buildings use natural gas for heat. It would be nice to replace that with something carbon neutral, but the infrastructure can't handle hydrogen levels above 10-20%.
I wonder if it's more similar to a Soyuz.
Tweeting improves citations
Love Julia Evans' stuff.

So much content out there disguises as 'tutorial' or 'blog post' but really is a part of the greater CV, evidence for skill and knowledge, and noticably fueled by fear of being technically wrong - the worst kind of wrong!

Mrs. Evans has this fearlessness to take on scary topics like profilers or "Ruby's Timeout", where it's hard to get a handle on all the nuances and to make a solid case. Without the need to prove anything, with no protective shield of aloofness the content turns out to be an enormous pleasure to read.

And maybe challenge the reader to produce content more honestly, too.
Gonna be a little bold here and say that even if there are people offended by this nomenclature, probably it still shouldn't change.

No problem that can be fixed by changing the default name of the branch created by git init will, in so doing, meaningfully soothe any sincere moral wound.
It’s slightly better. https://en.wikipedia.org/wiki/Risch_algorithm: “The Risch algorithm is used to integrate elementary functions. These are functions obtained by composing exponentials, logarithms, radicals, trigonometric functions, and the four arithmetic operations (+ − × ÷)”

That algorithm isn’t easily programmed, though, and will fail in the many cases where the integral cannot be expressed in elementary functions.

Worse, according to that page, it needs the ability to check whether expressions are zero (https://en.wikipedia.org/wiki/Constant_problem), and that, in general, is undecidable if I understand that page correctly.

https://mathworld.wolfram.com/RischAlgorithm.html seems a tiny bit more optimistic about the limitations of this approach, but https://link.springer.com/chapter/10.1007/978-3-319-00894-3_... seems, to me, in line with what Wikipedia says.
Start by looking at Elaine Chao and Mitch McConnell.
Just watch as this one also gets flagged aggressively...
Wouldn't that defeat the purpose of having the choice to not allow sites to save a truckload of cookies on your computer?

If anything maybe we should encourage having a "master preference" set in the browser, something like DNT (but not so easily ignorable) that just tells all websites on the user's behalf to only allow the absolute minimum number of cookies needed for the site to function. A small message on the bottom of the page could give more details or allow manual changes.
What are they used to?
There shouldn't be too much of an Osbourne effect with ARM macs. If anything, the sensible approach is the opposite: get in there quickly and get yourself an x86 mac while you still can.

ARM macs make sense long-term, but the experience is likely to pretty rough at first while software support catches up.
I don't think it was silly, but it was probably too rushed.
As I said when it was announced, there is a valid, IMO, line of reasoning: as a digital library you can lend one digital copy per one physical book you have in your inventory. Before the lock down people could choose if they want to go get a physical copy or a digital one, but now they don't have a choice: their local library is closed and there are only so many options to borrow digital. This is where IA steps in and says: we will act as a proxy between you, and the physical copy of the book that is locked in the library you lost access to. When I say it was rushed I mean they could have implemented a system where any closed library would be able to submit their physical book inventory asking IA to act as a proxy, extending the number of digital copies backed 1:1 by physical ones. But instead of that Interned Archive decided that the locked down supply is effectively limitless, so let's just lend as many as people demand.
Well of course you say that, you're an ML researcher who likely went into the field expecting further steady progress comparable to what we saw between 2012 and 2016. If actual progress in the field would be slower than what is currently still expected by the majority of people this would have dramatic consequences for future research investment, which is why you see most ML researchers reinforcing the hype or at least not talking the hype down.

While the accomplishments in the last 8 years have been impressive and applications of those techniques have and will continue to have impact in the real world I think that there are extremely big obstacles in the way towards something that would be truly transformative and which would put a lot of people out of work, which the $20 trillion industry estimates assume. Unfortunately I have seen no evidence that there are sufficiently good ideas in the field to bypass the upcoming roadblocks.
Your comment is a little hand-wavy and strongly worded ("revolution", "immeasurable", "limitless", "all domains").

Many things have exponential growth - bacterial reproduction, compound interest, certain chemical reactions. It's important to understand that this does not automatically result in miraculous universal transformation, but must be considered in the context of the world we live in. A little humility is always in order.
So is your argument that the US spys so it shouldn't look for potential cases of foreign spying in its own country? That seems kind of naive. In light of your argument transparency in research funding becomes even more important BECAUSE the US government spies so readily not in spite of it. The US can only expect countries to try to treat it in the manner its treats them so we should be looking for it. This article highlights the looking for it part.
I want to swap the layering shell and the terminal emulator, so each shell command (that needs it) gets it's own pty. I think this will enable a much nicer UI and also simplify things.
Are you booking your cars at a rate negotiated by your employer? Aside from getting a free rental credit every X days, I don't see anything about discounts in the Emerald Club benefits section.

Playing around with variations on a 7/13-7/17 M-F rental (also trying 7/11-7/18 Sat-Sat, checking in Manhattan, at LGA, and at DSM in Des Moine, IA for comparison) I'm seeing numbers 1.5-3x higher. I'm curious if the difference is entirely price discrimination or if there is something else like a negotiated bulk rate at play.

Numbers are for lowest tier car, same pickup and drop off location.

Manhattan M-F: $72/day base ($348 w/ taxes and fees)

Manhattan Sat-Sat: $59/day base ($501 all in)

LaGuardia Airport (luxury car, economy car is $22/day more) M-F: $94/day base ($512)

LGA Sat-Sat: $73/day base ($693 total)

Des Moines International Airport
(standard car, economy car is $6/day more) M-F: $92/day base, $472 total

Des Moines International Airport Sat-Sat: $49/day base ($463 all-in)

----

So...

1. Lowest I'm seeing is $49/day, which is why I ask in the first place.

2. Pricing shenanigans of a Saturday to Saturday rental coming out cheaper than a Monday to Friday rental in the case of a) 7 day Manhattan vs 5 day LGA and b) 7 day DSM vs 5 day DSM are so frustrating. Surely there's room in the economy for a competitor who offers transparent, predictable pricing? Dealing with industries where you know they are milking you based on reverse IP look up/browsing history/demographic profile is infuriating. How can someone be loyal to any company whose pricing model is "the absolute most we think we can get out of you, personally"?
Is there any public documentation on how much of the round-trip time the processing and routing takes up? It has had the shit optimized out of it every else, so I can't imagine it would get significantly worse for a satellite, especially one of SpaceX's which attempt to use commodity hardware as much as possible.
You want “the programming guru”?
I have the same schedule, but I'm ADHD only. My doctor said that the Hyperactive part means more then just always moving. Before my medication my mind would jump around a lot I would have trouble focusing. So while physically I'm not hyper, mentally I was.

That's how my doctor described it to me anyway.
CVE-2020-12802: flaw existed where remote graphic links loaded from docx documen
The choice is programmatic. You can disable cookies on your browser. You can delete cookies you don't want. Done.
* bad or missing tooling - true, it's missing but I wouldn't say it is bad

* no clear direction - agree

* no vision - there is but not well maintained unfortunately https://wiki.dlang.org/Vision/2018H1

* no ide - VS Code with D plugin works pretty well these days. There is an IDE written fully in D too.

* no big company - true, but there are a bunch of successful smaller ones.

* bad or missing documentation - not true, std documentation is pretty good and is gradually improved.

And don't forget that notwithstanding the lack of people and corporate funding (D is crowd-funded), you get a language that attempts to rival the big guys and frequently outplay them. Now, imagine the results given the resources were equal.
Sure, let's completely modify our environment so that the first-world sensitive twats that can't deal with words don't feel threatened, better yet, let's outright ban words that describe anything that is remotely related with dominance, because that is unsensitive and "non-inclusive" with those whom their ancestors were oppresed at any point in the past 5000 years
I work on a production ML platform, so I spend way too much time rabbit-holing on interesting looking projects.

If you're looking for interesting startups/projects-not-from-big-tech:

- Glisten.ai (https://www.glisten.ai/). Recent YC startup, uses a combination of different models to parse product information (actually a huge manual problem in retail/ecommerce) and expose it as an api.

- Wildlife Protection Solutions - Recently deployed a model that can automatically detect poachers in nature preserves. Detects twice as many poachers as previous monitoring solutions.

- Ezra.ai - Uses models to search MRIs for cancers, operational in a few different US cities.

- AI Dungeon - A text adventure game built on GPT-2 (now GPT-3). Super fun, if a little silly.

Now, those are just a handful of smaller companies whose core products are ML. There are a ton of financial institutions using ML for fraud detection, real estate platforms like Reonomy that use a variety of models for evaluating investments, and security companies using ML.

But of course, the obvious answer to this question is "Every popular app you use incorporates ML."

Gmail: Smart Compose, spam filtering, etc.

Uber/Maps: ETA Prediction

Netflix/Spotify/all content platforms: Recommendation engines

Facebook/Instagram/Snap/image apps: A variety of models for recognizing faces, object tracking, etc.

People have this weird "Skynet or it's snake oil" paradigm they use to evaluate ML, ignoring the fact that production machine learning is more or less ubiquitous at this point.
Its an existential threat to some incumbent last mile providers.
Nim and D are better.
I had a great time exploring randomly some places, our planet is too beautiful seen from above.
This is a nice summary of commentary the astronauts have given since arriving at the space station, but I wish this article would cite the original events. =/

Iirc, this is some combination of a the “SpaceX press event” that they did as well as some words exchanged upon arrival. (I’m not 100% on that, though I do feel like all the quotes came from videos from their first two days in the shuttle.)
It's limited but so effective! The other day a friend asked for photos of her sister (also a friend) that I had because it's her birthday and she wanted to make a collage. I just searched on Google Photos by her name and it found a bunch because of the face classification. That's some good shit.
Seems like easy solution is make it a loan. If they make it work, they can keep the money for free, if not, they pay back with interest.
My teens love internet memes, some of which are commonly used to close a conversation.

I’ve heard from my teens that in highschool the term ‘simp’ [0] is often used to shut down conversations; To the point of stopping boy/girl relations in the School class as every attempted interaction by a boy to a girl is shouted down by the other boys with a loud collective delclarion of ‘SIMP!’

0. https://www.dictionary.com/e/slang/simp/
How about money back if they don't deliver? Even better would be bounty after delivering the service, but I do see how it's hard to combine that with the (reverse) auction mechanism.
You say that, but Coca Cola apparently owns more than 500 brands globally

https://en.m.wikipedia.org/wiki/List_of_Coca-Cola_brands
I know you might mean well, but I can't help but get the same feeling reading your post as I do every time I read a wide-eyed self-proclaimed "futurist" snake oil enthusiast going on about something along the lines of how we're all going to be sending our children to pre-school in autonomous flying vehicles within the next few years, or listening to blockchain snake oil salesmen rant about how the whole world is going to revolve around their shitcoin in the near future.

I feel like I've been reading or hearing a repeat of the same ML/"AI" "my team has something huge just around the corner" pitch every week for at least a decade now, and always with the "but I can't be more specific because reasons" and "just look at how much this other thing improved over X years!" aspects tacked on. The only thing that changes each time is the person making the claim.

Less time making grandiose claims on internet forums might give you more time to produce something that could at least be passed as partially living up to those claims, or at least give you the right to say "we tried" in your "amazing journey" post somewhere down the line.

I hope to be proven wrong, but in my experiences the people actually achieving impressive things aren't out there loudly bragging about it before they have anything to show.
If you assume that the system is that a woman select the most attractive man out of a pool of candidates, which seems right to me as a gross approximation, that does nothing to change the dynamics of the system. It just gives more chances to an individual to the detriment of the rest of the candidates. It's a zero sum game. Just another treadmill for the everyone to run, if you mind the pun.

The systematic problem is that all developments in the last decades have made dating/sex a very efficient market that is skewed towards winner-take-all. There is zero commitment required, the pools are very large, and selection is straightforward.
[flagged] is a visible indicator, so you can just do that analysis yourself. Either use the API https://github.com/HackerNews/API or, if that doesn't include the flag status, scrape it from the website. Then classify whatever number of flagged stories you end up collecting based on their topic.
This is a good point, thank you! I am adding a quick note in the article to clarify that it's more about the code-stepping technique itself.
Most of this information appears to be readily accessable from the US. Let me know when you find that report where a US citizen was arrested or charged for reading any of this.
You missed the preface:

Bob's manager: Here's Bob. You paid a gazillion dollars for him, and he can translate whatever you want. Any language, whenever – the true revolution everyone's been talking about. Your life and our economy will never be the same.

Alice: Bob, Can you translate "Eat my shorts" into latin for me?

…
I really don't think I could agree more, and I was actually discussing this with my housemate last night. He's very much a morning person, and literally can't grasp the fact that I stay up late and enjoy it. Let alone the fact that I actually get more stuff done at night and in the evening than during the day, especially after everything's closed and people are asleep. It's just so much easier to focus (well, as easy as it can be considering focus is something I struggle with).

Also, reading your first two paragraphs makes me wonder, again, about whether I might have ADHD, especially without the hyperactive part.
> the whole point is to use excess power from solar/wind.

Thank you.

> But converting that into carbon fuels that work directly in existing infrastructure and is effectively carbon neutral is a good option too.

This approach seems really underrated, at least for transportation.

Hydrocarbons still have the best energy density of the realistic options. We have a century of experience building ICEs with favorable power/weight ratios. Why throw all that away?
> Have you done or read research to suggest this is something to worry about?

Yes, I've heard many authors saying that they're unhappy with the emergency library in particular because they are concerned they won't be able to get paid to write books if this happens. And, based on my training and experience, if someone isn't paid to do their job anymore, they'll look for another job.

I'm aware of GitHub. I've published things to GitHub myself. Many of them I was paid to publish. There's a lot more I would publish to GitHub if I weren't writing proprietary code all day. You can go see all the pull requests I haven't responded to. I think it's absolutely true that if you gave people a way to put a roof over their heads and food on the table, they'd do work they love anyway, and I myself point to GitHub as an example of that. I think it's also true that if you don't give people a way to put a roof over their heads and food on the table, they'll find something else to do with their life that does.

I've also visited Wikipedia. Here's a quote from the first person to make one million edits: "Being suddenly and involuntarily unemployed will do that to you." I think that demonstrates that if he could do something else and get paid for it, he would have.
I don't see why the delays would scale linearly with travel time. I would naively expect them to be a constant. So geosynchronous satellites have 240 ms of travel time and 310 ms of delay, in which case we might expect LEO satellites to have 13 ms of travel time and 310 ms of delay.

Maybe it's not that bad. Maybe you have to use more robust coding with geosynchronous satellites, and that drives up latency. But i can't see a reason why it would scale linearly with distance.
What stops their creditors taking the company? They don't have enough to pay them off.
This is kind of off-topic since the issue was these scientists lying about their ties to a foreign government. I wanted to address how people think there's no IP theft here.

Although results and information about the research are often published to the public, experimental setup and some technical details are usually not included in the publication. Just because a paper on the research will eventually be available to the public doesn't mean the technology can be easily replicated. The concern here is that the real hard work that comes from months of trial and error is being stolen to competing nations that would take advantage of the theft to claim the author of such technology. Not to mention the tech is funded by American taxpayer dollars and developed by scientists who spent years and months on it. There's a recent incident on a Chinese Scientist lying about his affiliation with the Chinese Military and have been sending proprietary lab information to China.

See: https://sanfrancisco.cbslocal.com/2020/06/11/alleged-chinese...
Does lower S-wave velocity imply high-viscosity liquid?

And might that be due to water? Maybe oceanic crust carried by deep convection?
Pretty much anything will fail if the end device is compromised. It's probably good up to that point. Otherwise you will have to look into some sort of air gapping to a physically secure device dedicated to messaging (e.g. Yubikey).

As always, it depends on the threat model...
https://youtu.be/hx7BXih7zx8?t=513
Much More Efficient Self-Play Learning in Go
A problem with processes based on using excess power is that they use equipment inefficiently. If cheap power is only available for a quarter of the time then it would take 4x as long to pay for the investment in the equipment. Whatever scheme you set up to use excess power needs to be pretty cheap to make it worth running only a small part of the time, or it needs to be doing something especially valuable.

Compare to the strategy of locating somewhere that electricity is always cheap and running all the time.