skysight-inc/HackerNews huggingface dataset:
While that's true, it is still possible to get data by giving the vaccine to as many people as possible and seeing if the virus recedes faster than previous models predicted. If the slope of the trend suddenly buckles when people start taking the shots, there's a good chance it did something.

Although I'm also strongly against deliberately infecting people, if there is a high chance there is no danger to take the vaccine, and a strong possible upside (i.e. possibly save lives in the next 2 weeks), I don't see why we it isn't okay to volunteer to take it today, even if it isn't a fully conclusive data point. Hell, if there are 5 candidate vaccines, and they are all non-dangerous, I'd love to take all of them just to protect my own life, even if that makes me not as useful of a useful data point. There's a nonzero chance the virus will kill me in 2 weeks, 4 weeks, 6 weeks, and I think it is only ethical to reduce that chance even if that means 5 shots (pun intended) in the dark.

Of course, I see people downvoting me and it seems HN doesn't welcome this type of discussion anymore.
It's multiple, actually. But that aside, if you want people to compliment on the complex machine learning beast that tech companies has built, you're missing the point. What people are upset about is the excess censorship put in place at various social media platforms. Content takedowns should always be used as a last resort.
The stated moral of the story (last line of the article): "Brains win again over brawn: a well-designed, mathematically knowledgeable algorithm beats brute force!"

This reminds me of a claim I heard from a numerical analysis colleague: "Algorithms of today running on hardware from the 1950's would beat algorithms of the 1950's running on hardware of today."

It was a thought-provoking comment. It would be less hyperbolic if prefaced with "There exist some problems of practical significance for which.."

The question is, what might be some examples? What are some problems for which the time or space complexity of the best known solution has decreased over the last several decades to the point that the above statement would be true of them?
It's not hard to find examples in the repo. https://github.com/expnkx/fast_io/blob/master/examples/0001....

The code is self documenting. I don't think doxygen comments are always needed. This is a simple library, with a simple interface.
> Consider what it would cost to manually vet all apps on Play against even the most uncontroversial malware and data abuse policy

I believe this is precisely what Apple does, is it not? So perhaps not as impossible as you're casting it to be.
Download speed on current device:
with ISP speed test: 230 Mbps
with fast.com: 200 Mbps
with speed.cloudflare.com: 43 Mbps
Interesting. Sounds like a reasonable path go with when initially growing.

eg go bigger (hosts) first, then figure out horizontal scaling later if/when needed :)
I have no opinion about Mulholland Drive (it's been literally 15 years since I saw it), but this reminds a bit of a friend who keeps telling me "Lost in Translation" is a bad movie because it's story is not very compelling. In that case, I think it's completely missing the point, since the story is really about the least that makes me like Lost in Translation so much.

I realize I'm arguing against a straw-man here. The point is: A movie is not just its story.
I’m a big fan of looking at annual reports to understand a company.

Google is not subtle about where its priorities lie. There is a section in their 10-K titled “How we make money” and the two sub-bullets are “Performance advertising” and “Brand advertising”. The rest is a footnote.

Their revenue breakdown tells a similar story. Google as a whole had revenues of $161B in 2019, and $134B of that was direct revenue from from ad sales. “Other bets” (inclusive of consumer product things like Fiber, Fi, etc) is less than $1B — a rounding error in the scope of their overall business.

I know it’s flippant to say “you’re not the customer, you’re the product” but it’s particularly true in the case of Google. They are a B2B advertising company, not a B2C products company. It’s just not part of their business model to provide support to anyone who isn’t an ad buyer. It honestly ends up thwarting their ambitions in the product space because the kind of customer support required to succeed just isn’t in their DNA.
"Marketing guy markets himself as a mover and shaker. News at 11."
"Claim everything. Explain nothing. Deny everything."

-Prescott Bush
Excerpt from the retraction:

> In autumn 2005 I became clinically depressed. My physician put me on the then-standard treatment for depression, an SSRI. But she wasn’t aware that for some people an SSRI doesn’t gently treat depression, it puts them on the ceiling. I took the SSRI for three months, by which time I was grandiose, extremely self-righteous and very combative – myself turned up to one hundred and eleven. I did a number of very silly things whilst on the SSRI and some more in the immediate aftermath, amongst them writing “The camel has two humps”. I’m fairly sure that I believed, at the time, that there were people who couldn’t learn to program and that Dehnadi had proved it. The paper doesn’t exactly make that claim, but it comes pretty close. Perhaps I wanted to believe it because it would explain why I’d so often failed to teach them. It was an absurd claim because I didn’t have the extraordinary evidence needed to support it. I no longer believe it’s true.

A sad story :(
I purposefully read a site called OzBargain, which is basically a compilation of ads. Sometimes I buy stuff I don’t need. Nonetheless, I like OzBargain.
Honest question. Are you fearful of the moral implications of AI? Whenever I hear someone that is fascinated about AI and only thinks about it as an intellectual pursuit, I’m curious if they are thinking at all about the consequences of powerful AI.

From where I sit, the bad outweighs the good.
It's a different species though, this is the Australian one: https://imgur.com/X1vf3v4

Oddly enough they're solitary, rather than living in hives.
Yes, Google has never been good at customer service. They believe that providing feedback tooling is the better approach. I think Google has succeeded _despite_ this not because of it
Ok, so the answer is: no. This information isn't publicly available or easily accessible.
Perhaps you've never seen a 1500 lbs steer get its hooves trimmed. Or a 1 ton bail get loaded and unloaded in seconds. Or somebody change the tire on a tractor.

Farmers have machines and equipment for almost everything. Swapping out a flat pack? POC
Very valid counterpoint. It could by HN's latent bias against marketing types (in the dismissive sense) as the GP is the top comment (as of now). There's a difference between clickbait and trying to convey the gist of an article with limited chars (and thereby triggering the reader's bias).

The article makes it clear from the outset that:

1. She was in a very junior position and was cold calling clients before EoL-ing an embedded DB product

2. She delivered the insight to key executives in a way that prompted a product positioning pivot that turned out very lucrative (even if the $1B is disputed the circumstantial information seems to support it - parent company's valuation/revenue and the fact that the product still exists within a larger company).

3. Her track record speaks for itself (so it's not an anomaly) but this experience is also her origin story.
Kejuw
Context matters. Hui likely used APL to code up the problem and APL let's one choose between 0- and 1-indexing. Reading APL papers from around the time, it looks common to have explicitly declared your indexing convention up front, so my suspicion is that Hui essentially was responding "I'll code up a bit of APL and get you the answer. What are your conventions?"
So about 270000 assuming they have 4 monitors each.

If they hire from low cost countries from contractors. They will only have to pay 10k per headcount + additional 10k for various stuff.

That's only around 5 billion. Let's just double that, 10 billion dollars. That's it. Google can easily pay it.
The night before the proposal of the "National Security Law" in Hong Kong, Google censored pro-democracy searches in Hong Kong and later used the same excuse:
https://news.ycombinator.com/item?id=23256470
This is a proposed bill by 2 US senators. I'll worry about that if it passes Congress and the president has to decide whether to veto it (his 2020 budget proposal cut NSF's budget by 6-7%).
UpWork locking down freelancer communication
Due to the quarantine and the current crisis, VC is wired to Video Conference or Voice Chat in my brain. The title gives no clue whatsoever. How does X works can have any word in place of X and it would still make sense.
Yeah, I missed the other post on the FM Towns emulator or I would have commented. One of the coolest parts of Demosplash is the live old PCs and consoles you can play around on. Partly I think this is because Demosplash is hosted by the vintage computer club.

One of the professors at CMU (who coincidentally also is writing the FM Towns emulator and has written a number of demos for Demosplash, of the first ever for those platforms), is a really cool guy who brings a library of almost impossible to play Japanese only PCs to the event. He's done some truly amazing stuff with some of them and they're a blast to play games on.

The folks that run it are great, including having a mainframe emulator running on a rPi as the sign-in system, and it should easily have 4-10 times the attendance. I really recommend it if you're just a few hours from CMU and can take the weekend. Even better, enter a competition!

IIR, the competitor who brought the Looking Glass display was a VR developer for Facebook, so there's some serious muscle that shows up.
JavaScript Data Types
If you want it to be long term sustainable, you probably want at least 2 people that can handle it, so they can go on vacation.

The fully allocated cost of two ops people in my neck of the woods is a little over $300K. That can buy a lot from AWS.

I'm not sure why so many developers seem afraid of hardware

I want to develop. Yes I’ve been around long before AWS was a thing, I had to manage servers, load balancers, and even an elevated “server” room with a SAN with whopping 3TBs of storage back in the early 2000s. But in my old age, my time is valuable. I’ve done the on call thing before where our database server went down in the middle of the night when the night operations crew was working.

I won’t work for a company that is not on a cloud provider and doesn’t have a dedicated ops team.

But, if you are a small company. Why are you spending a lot on AWS? Two EC2 instances behind a load balancer and a hosted database shouldn’t cost you over $500 a month and that includes a decent amount of traffic and miscellaneous other charges. Heck if you are that small, just use Lightsail and when you grow, peer your Lightsail VPC that you probably didn’t know existed to a real VPC.
Twitter Refutes Inaccuracies in Trump’s Tweets for First Time
How could this type of blackmail happen if someone was already reviewing the videos manually? Takedowns being automated is fundamentally at odds with free speech.
BTW, this is article is not actually correct[1]. The technique is however. The measurement used an HP pulse generator to send a pulse down a piece of coax and that pulse, and the "echo" or return were both attached to Ch1 and Ch2 of an oscilloscope in the measurement trailer.

When a pulse was fired a Polaroid picture was taken of the screen at the same time. By measuring the difference between the leading edge of the initial pulse and the returning pulse the length of the cable could be computed. With a lot of pulse generators and oscilloscopes you could synchronize them to each fire slightly later than the next and get a number of solid data points on the cable being vaporized.

The Polaroids all included on the picture the rack and rack slot where they were located, and the sequencing was known, so you could digitize the pictures and extract the data.

[1] I actually worked in one of these trailers as part of a summer job during college writing code on said PDP 11/34.
> many people expect that the {NSA, Cyber Command, et al} are actively defending all US organizations. I don't see evidence of this (although if there was evidence, I probably wouldn't see it anyway).

If you keep your confidential research results on an unpatched server with weak passwords and exposed to the internet, what is the NSA supposed to do about that?

About the best thing they could do is to scan for and find the vulnerability before the attackers and notify you about it, which in general they don't. And it still wouldn't solve most of the problem because there would be objections if they did more than a cursory scan, which means they won't find most problems, but the attackers are under no such limitations.

> there are limits to the liabilities which would otherwise be enforceable in court

I don't think this is the kind of liability they're talking about. If your confidential research falls into the hands of economic spies, the problem isn't so much that someone is going to sue you as that your research and any relevant patents have now lost their economic value because a knockoff product will beat you to market.

> cyberinsurance

This is liable to be more of a grant hog than liability would. Not only do you have to pay the premiums -- which would be high unless researchers adopt good security practices, which having the insurance would give them the incentive to do the opposite of -- but you also then have the insurance company imposing some kind of bureaucratic best practices procedures that gives you even more compliance costs than you would get from having liability, because the insurance company has misaligned incentives with respect to the level of compliance burden to impose, since they don't pay any of it but get all the benefits.

The reality is, the researchers are the ones operating the systems their research is on. They're the ones who have to secure them. And they already largely have the right incentives to want to do that, but they also have a poor understanding of the necessity of it and the process for doing it.

What would help here are the things that would help in general. Fund vulnerability research in free software so that the software people are using (because it's what they can afford) is secure by default, and easy enough to use that people don't commonly make mistakes, and well-documented. Things like that. Make it easier to do the right thing so more people do.
No mention of A/B testing on randomized regions. When you lack data make some. The problem with policies are people. They don't behave the way the policy expected. I'm not saying all out extreme A/B but finding the right pparameter values in parallel rather in multiple-week series'.
It's more about the techniques developed along the way than the actual number itself.

What's the point of running a marathon? Is it to expand your hunting range?
It seems that part of the solution here is to require meatspace authentication.

Here's a thought experiment:

Imagine you are a global platform which needs to deal with inappropriate behavior (posting of copyrighted materials, etc.)

Flagging content requires a verified account, where you must authenticate your meatspace identity: a small monthly payment via a traceable payment mechanism; a text to your phone number; a postal address verified by sending you a postcard; a photo of your government-issued ID; and webcam photo of yourself.

None of this information is for public exposure! It merely ties your account to you, as a person, as tightly as possible. Nor is it required to use the service -- only to engage with the moderation system.

All of these can be automated from the side of the service provider.

For companies:

If you are working on behalf of a company, your company membership requires similar verification. You are also limited to flagging only IP-related issues raised by your organization (copyright infringement, etc.)

For individuals:

You must be endorsed by three other verified users.

False flags beyond a certain threshold will erode the weight of your flags, up to the point where your the moderation system will outright ignore you, with a periodic (automated) review to see whether or not your flagging behavior has improved.

Endorsing a certain number of false-flaggers will also cause your account to silently lose the ability to flag.

This mimics real-world behavioral modification for groups of people.

Thoughts? Where does this go wrong?
OK substitute VM with OpenStack then.
> it's a flaw in their business model, and it's one that can that be fixed (i.e. "innovate a better business model")

Doesn't that assume that there is a better business model?
We all know users won’t pay enough for a subscription service to make a huge profit that makes the VC happy, makes the founder one of the ten richest people in the country, and supports a ton of offices and salaries in some of the priciest places to live and work.

But the tiny Mastodon server I run for myself, with a total user count in the low triple digits, costs about fifty bucks a month, and the users who are willing to pay cover half of that. I could probably get more of them to cover it if I was more aggressive about asking, but I prefer to keep it super low-key. I could also lower those costs if I felt like putting some work into optimizing it.

It’s not my job, it’s a thing I run on the side and put a few hours of technical work into every few months. I ain’t gonna get rich from it but it gives my friends a nice place to chat on the Internet.
If viewers would actually pay for content they like, this wouldn't be an issue. The problems are that tech companies are 1. dumping product well under cost while 2. training customers not to pay anything.

At some point, people need to realize what constantly wanting things for free is costing them and the people they watch.
You can, also, add flags to your program:

alias -s txt='less -rE'
How is writing blog posts not trying something? Seems pretty clear to me that content creators are trying to create outrage to force youtube's hand, which seems to me to be the only successful strategy other than getting laws changed.
You can also do things because you want to do them, share ideas because you want to share them. This advertising fueled content filled Internet is pretty toxic.

I don't remember any of the Internet idealism of the 90s mentioning the great progress of sharing information involving the creator of every piece of data available making a fraction of a cent every time it was consumed.

I don't mind people getting paid to do things of course, but I do mind a culture dominated by selling each other's attention to advertisers in exchange for creative output, or creative output solely for the dopamine shot from attention and likes.
What about WordStar on DOS?

https://www.bbc.com/news/technology-27407502

What I'm trying to say is: it doesn't matter what the tool is. If the process / outcome are worth it, then starting to write is much more valuable than the exact tool (that you choose to get the cool kids nodding their heads in agreement). Productivity is cool.
Except for being "self hosted" and the "front end to git" we're building that as a commercial service.

https://pluma.cloud/

Not much to show yet but you can follow us on Twitter for updates in a couple of months: https://twitter.com/plumacloud

We're also considering providing our CMS as headless via an API so that you can connect it to your SSG and make your own template, host it wherever you want, etc, but we haven't decided yet on the pricing for that but it would be much cheaper than our main product.
Ask HN: Java 15 and reasons to *not* use Java?
In 2020, Java 15 will be released with major features (some coming out of preview mode), both at language, API, and runtime level.

https://openjdk.java.net/projects/jdk/15/

What are the use cases and reasons not to use Java?
1) Nobody except maybe spies and terrorists transfers wallets

2) Bitcoin being useless, one still has to sell it for fiat where anonymity usually ends
This is going to sound pretty shallow, but as powerful as Dbeaver is, I can't stand how it looks. I'm using DataGrip solely because of the large amount of themes available.
I have no idea, like I said. I haven't looked and wouldn't otherwise know.
A Novel Way to Think About Literary Categories
Oh yep I was doing light sampling and I skimmed the article so I didn't realize they weren't. Thanks!
This is how I naively assumed it worked back in the day and was constantly perplexed by how much trouble TeamFourStar would get into with seemingly every new upload.
> Is it fair and ethical to ask country A to make free all research while being okay with country B hiding its own research on the same subject?

This isn't about countries. I think it is unethical to hide research when it could save lives. If country B is hiding research, that doesn't mean country A should hide it as a revenge, and that doesn't mean the residents of country B deserve to take the brunt of the actions of their government policies. The civilians of B and the civilians of A deserve the best of science equally.

The virus doesn't care about where country borders are drawn. Even in the above situation where country B is hiding their research, if country A shares their research with B, it helps country A themselves because country B's people may be inoculated much faster and immigrants from country B to
A will not be carrying the virus anymore.

The objective function that should be optimized is getting the virus eradicated from the world ASAP. There's a good chance that only some fraction of the world needs to be inoculated with a vaccine before the virus is nearly eradicated, and that will only happen if the vaccine is shared across borders. A good start, for example, would be to inoculate everyone who wants to take a flight or train, inoculate all doctors, and inoculate all service industry personnel, regardless of which of the 200 countries they are a citizen of.
Why would you say that the picture is not real? That is a bold claim to make without any evidence, especially since you are incorrect. For anyone curious, image was originally published in the scientific journal ZooKeys. (https://zookeys.pensoft.net/articles.php?id=2987)
This is so nice
Ingydotnet/Git-Subrepo
Adblock usage has been creeping upwards every year. It’s only the fact that most people use mobile devices, that slowed its growth.

Now, extensions to block ads are mature on mobile.

On some sites I run, I see 60% blocking on desktop, 10% on mobile. If it hits 60% on mobile as well, then the ads would cease to be profitable.
My mistake. We need a sarcasm font.
As I wrote, I still give gas the overall edge right now. But not by a wide margin, and that margin is dwindling.

For instance, don't forget the fuel suppliers, tank inspectors, etc, in the supply chain on the other side.

I was just commenting on the point of refuel time.
It isn't. You can't possibly manually review every new version of every app in detail.
I don'y understand why you just don't make your own site instead of ruining the one we like.
It's part of the ideology that drove their actions. How would one even attempt to show the statement was true? Either way, the era called capitalist should be clear.
I don’t think what you describe is a good experience. You provide a benefit for hundreds of people, but can’t even get 25 dollars a month in return.

Contrast this with real life hobby groups, and service groups, where you can more easily raise money to cover costs.
I found this video interesting. It takes comments and generates code.

https://www.youtube.com/watch?v=fZSFNUT6iY8
The ISPs are going to log everything for sure. However I’d probably trust their incapability of putting data into 
good/evil
 use, comparing to professionals like google.
Andrew Yang says the US should seriously consider switching to a 4-day workweek
Try out Notion. They recently changed their free plan to have unlimited blocks.