skysight-inc/HackerNews huggingface dataset:
Note that post you linked has different orders between the animation and the static image.

If I'm not wrong, TW stroke order agrees with the JP order. CN standardized the stroke orders of many gylphs against calligraphic tradition.

The TW stroke order in this case is more aligned with calligraphic tradition: see http://www.sfzd.cn/shufa6/2495714749c131513682e1a3f8e08fa62.... vs. http://www.sfzd.cn/shufa6/46625e0c6c9573d8b78056cc8919c64b6.... where the calligraphic forms make the stroke order clear.
Dinosaurs existed in the Triassic ~250 Mya. Following multiple extinction events primates showed up something like ~80 Mya. Australopithecus only dates to something like 3 Mya, Homo habilis to only ~2 Mya, and humans to a mere ~0.3 Mya.

250 vs 3 (or even 80) is a huge difference, and it's unreasonable to assume that all planets would experience extinction events at anywhere near the same rates. To put it in terms of your axiom of mediocrity, it looks like the "typical" timeline we followed has a lot of wiggle room so why don't we see anyone else?
That loud rustling sound you're hearing is a bunch of trust papers being prepared. Just in case.
I understand how ml can replicate existing cultural bias in recommendation systems or risk scoring systems, but how does bias work in the context of facial recognition?
And completely for free, without buying packs/cards! You can play with decks that would cost $10,000 to put together with physical cards.
If the array goes into the faulted state, you can just reboot and if the drive that was kicked out responds it will be brought back into the array and a scrub/resilvering will begin. Now if you have a failing drive, you can coax it back to online status by powering off your computer and letting it rest and a certain percentage of the scrub has completed. I've used ZFS with seagate green drives that were definitely not meant for that purpose but since they would be 99% read-only drives, once I got the data copied (which involved drives being kicked for poor performance) they perform just fine. They could not cope with continuous I/O however and would start to error out during heavy writes or long scrubs.
In other news, IBM is still in business.
You're using "wrong" to refer to the fact that the color pie was developed arbitrarily, and so can't be descriptive of humanity or people.

The other poster, and the article, aren't claiming that the color pie was developed with humanity or culture as a basis. They don't think that people can be solely described by a color and a description thought up by Garfield as a background for a card game. They don't disagree with you.

What they do think is: This is a useful lens to view people through. That's why the article refers to the techniques as an intuition pump - they allow you to use your intuition for a less complex space to solve more complex problems. I think I believe that this lens is a good one, but I'm not sure your comments engage with that angle at all.

Flat Earth is a great lens situationally, btw. If it's 3km East to the shops, and 4km North to work, then I know that they're 5km apart. Maybe not exactly right, but right enough. Easier to do that math in my head in a flat scenario than to try use some GIS tool or an oblate spheroid model.
You like math? You do math? Guess what? You're a mathematician, regardless of post-graduate education or self-assessment of your ability!

(I love to see 'amateur' mathematics, not in the derisive sense of the word but in the formal sense of "not done by a professional mathematician". Good on you!)
I disagree. It was the easiest ease of mind purchase I've ever made. They tell showed me what it covers, what it can cover with add-ons and the price updated in a click. I had to talk to no one. It started the next day with the contract sitting for me in my email.

I don't think they could've done a better job solving a problem through software (an app).

I tried cancelling it to make sure it will be easy. The steps seem super easy and straight forward all the way up to the confirm option.
It's weird that no one mentions Fauci was funding and promoting bat to human coronavirus research in Wuhan in 2019.

https://www.newsweek.com/dr-fauci-backed-controversial-wuhan...

Is it just a coincidence?

Additionally, it is possible to accelerate virus gain of function by exposing it directly to the target host.

However, this is even stranger than the Chinese lab conspiracy theory, since this particular research is US funded.
Plenty of people and dozens of companies have worked on similar things and continue to this day.

Brave is not an alternative to ads. They are just an ad network that replaces the ads on the page with their own, and then splits some of the money with you instead of sending it all to the publisher.
I'm still very sceptical about autonomous drone as fighters.

We already have extremely fast autonomous vehicles specifically designed to take down fighters. They are called missiles. Modern missiles already do everything you are listing including cooperation.

As the main weapons of fighter drones will likely be missiles anyway, the drones will probably be mostly glorified missiles carriers allowing reusability of some of the most expensive avionics.

Usually, the hard problem for AI in military application is respecting the rules of engagement. I fully expect a human to still be in the loop for sometimes.
The big issue here is: young children aren’t affected statistically in significant numbers... So they’re minimizing the effects on a pop that’s largely “less affected”.

On the other hand parents are very likely to get it from their kids if the kids do get infected.

Anyway, how do they expect kids to practice good sanitation when attentive adults can fail (sure kids have less to worry about and can be very focused —if trained properly at home and school).

I think a measure like this is more symbolic than effective... but hey...

How will kids beginning school even learn how to develop normal kid interaction and friendships ?
> If you want k8s, you really do need people that know how to maintain it on a more or less full time schedule.

I think this is roughly similar to saying "if you want linux, you need people that know how to maintain it." Which is to say, you can create an architecture where this is absolutely true, but it doesn't need to be true.

The big issue with K8S right now isn't K8S; its that there aren't (big, well established) solutions like Heroku or Zeit or whatever, for K8S, where you don't need to worry about "the cluster", just like those solutions don't make you worry about Linux. K8S really is two parts; the API and the Cluster. The API is the more valuable of the two.

And, you know, maybe it won't ever get there. Heroku and Zeit solve strikingly similar problems to K8S. Maybe K8S just is a platform like that, but for enterprises who want to home-grow, and maybe most companies shouldn't worry about it. But I think the platform, and thus the community, simply needs more time to figure out where it makes sense.

Most companies shouldn't touch K8S. You'll probably regret it. But, to your second point: AWS literally has nothing beyond EKS/ECS + Fargate which approaches a Heroku-like service. Beanstalk is supposed to be that, but its really just a layer on-top of EC2 which doesn't touch the "ultra low maintenance" of a Heroku, or Zeit, or App Engine. So if you're on AWS, and you want to use their other excellent managed services, you either go outside AWS, or you'll go EKS, or you'll end up trying to in-house something even worse.
IMO ProcMon on Windows is its equivalent. Not Process Explorer.
I mean, if we're nitpicking

Anyway, allowlist and blocklist are more self-explanatory than whitelist
and blacklist, so this change has negative cost.

No, it does not. All changes have cost. They just can't see it now, or chose not to see it now. Aside from the obvious cost in the very same patchset.
It really depends on the application and use case, but with lots of headroom there likely isn't a material difference (IE the application only uses 128MB of RAM, you're just not going to see it).

Where it would come into play in your use case, is say you have an application, that serves as an application, and can also serve files from disk, like a web app. Say the running application uses 8GB of RAM and the files on disk is 10GB. On your system with 16GB of RAM, the IO subsystem in the kernel will use leftover RAM as a cache on disk access. So even though your web server sends files from disk, in most cases it'll leave a copy in RAM, and then can just serve the file from RAM without waiting on the disks which are relatively slow. Our total dataset is 18GB though, so everything we're doing doesn't really fit in RAM with application + files usage.

This is where swap comes into play. Even though the application uses 8GB of RAM, maybe some of it doesn't get used very often. Where as the files on disk, the total 10GB get used almost constantly. What the kernel can do, is say, 2GB of the application, even though it's in use, we don't see the application ever using it. Maybe it's just some buffer or house keeping data, so it's not used frequently. We'll swap that out to disk, and our IO cache is now a little bit bigger, allowing it to speed up access to that 10GB of files always being used on the disk, speeding things up.

When the application does need that memory, the kernel will bring it back into main RAM, using some free memory that's maintained, or reclaiming some memory, which is slow. Instead of the RAM being instantly available, it has to wait for the kernel to do its work, which leads to engineers discovering in certain limited cases, if they disable swap, their applications get faster, since it doesn't block waiting for the kernel to do it's work in those cases.

If you don't have resource contention on the size of the application in RAM, and the amount of frequently accessed files / IO rate, you're not going to see any performance difference.

* The defaults swappiness setting on many distros can also be a little aggressive, which I suspect as lead to alot of these disable swaps. Although, as the article points out, this changed linux 4.0+, but I'm not familiar with the changes being referred to here.
That's what HDMI ARC is for - the TV can be connected to a normal speaker amplifier (so the TV acts as the receiver, basically).

I'm wary of using HDMI AVRs today because they add input lag.
I guess that depends primarily on whether you're installing and operating K8S yourself. Use something like GKE and it's a very seamless experienced, with AKS getting pretty good and the rest being rather crummy.

Once you have a managed cluster, the deploying apps is fairly easy. A single container/pod is a 1-liner and you can work your way up from there.
Same for news involving Yahoo!!
The author also has a history of controversy which definitely makes me want to take anything with a grain of salt:

https://en.wikipedia.org/wiki/Karol_Sikora

There’s likely a reason why that’s on a conservative business’s vanity site and not a scientific journal.
Train it with a set of data that doesn't include a wide enough variety of faces.
If it's a hosted k8s, all you'd do is containerize your application, then create a deployment that pulls that container and exposes it through a loadbalancer. The container is the same if you'd push it to herokus container registry or beanstalk
It's absolutely laughable when people say that Amazon operates as "a monopoly as an online product discovery service".

There are so so so many options out there. I use plenty of online retailers all the time. Complaining about them being a monopoly in this way is like going to the same brick and mortar retailer and complaining they are a monopoly because you're too lazy to see what other retailers are available. If anything it's even more absurd because the closest brick and mortar competition might be miles away while online the competition is mere keystrokes away.

Every single search engine is also a product discovery service too: Google, Bing, DuckDuckGo.
That's a pretty clickbaity description of "on a table in clear view at a trade show".
Why Robotics Companies Fail [pdf]
"More symbolic than effective".. That could be the tagline for the entire COVID-19 response. And really for 2020 in general.
No blue also got the best cards afterwards. Jace the Mind Sculptor, True Name Nemesis, Delver of Secrets, Snapcaster Mage, Narset Parting Veil, Ponder, Urza, Oko, Uro, etc.

Blue's color identity is just 'being really good at Magic' it seems
why not? my electrician is also a computer. a biological one.
There are real technical challenges here. Lighter skin has more contrast between light and dark.
How does this stuff get on the HN frontpage?

There are exactly two mentions of Flickr in the linked article. One in the headline itself, and the other:

> The image appears in an album of photos from the Association of the U.S. Army convention posted to McCarthy’s Flickr account last October.

This:

> an album of photos from the Association of the U.S. Army convention

Google search "Association of the U.S. Army convention 2019" and then click on "Images"

You will find the exact same image supposedly "inadvertently leaked." The model prototype was shown-off at a US Military trade show/convention. It wasn't "leaked", OK? People take pictures and share them all the time.
What is ‘deno code’?
An attractive article. A lot of data and analysis, unique insights.It worths spending the time and reading.
For facial recognition, aren’t you just hoping for multiple images of the same person? A wide variety of faces doesn’t help you match specific people.

It’s not about tagging a face as “human” it’s about tagging Bob’s face as “Bob”
I want to point out that, as far as I can tell, the advisor is still active at the university [1] and even presented the questionable paper at the conference [2]. This is pretty disturbing and I haven't found any more info on what the school has done outside some vague internal investigation [3]. Does anybody know if the university is actually conducting a thorough investigation and whether or not it's ongoing?

As a PhD student, this is disgusts me. I've witnessed my share of awful, exploitative lab situations but this takes the cake. It seems to me that most of the time, professors only receive soft punishments (e.g. people in the department warning prospective students to think twice about joining a lab) unless the incident draws enough bad press.

[1] http://www.taoli.ece.ufl.edu/

[2] https://twitter.com/VHuixiang/status/1146524212279955458

[3] https://bit.ly/2UsrMsa
> A lower price can surely be charged if everyone in several nearby streets is getting their milk delivered by the same company.

And we can optimize it even more if the bottles can be delivered to a storage location that will store the milk for the people in the nearby streets. Also, to make it easier for the milk producers, maybe someone can be at the location and pay the delivery person once for everyone. Then when people come to pick up their milk from the central storage, they can pay based on how much they pick up. We are now very close to the concept of a neighborhood grocery store.
The number of diagnosed cases or positive test results is only loosely correlated with the number of actual infections. Thus any calculation of R values based on cases isn't mathematically valid.
That's missing "d", "g", "i", and "j", unless I'm missing something.

Just for fun, the JavaScript one-liner I used to check:

const check = str => [...Array(26)].map((t, i) => String.fromCharCode("a".charCodeAt(0) + i)).filter(l => str.indexOf(l) < 0)
Are these sorts of articles the result of a PR pitch? Almost certainly. (Probably most company profiles are.)

I'm also a bit cynical about MasterClass specifically. "Let's have a celebrity teach a class in some topic that doesn't really lend itself to seriously learning from a video.

That said, this particular article is fairly interesting. Even if MasterClass doesn't especially interest me, it obviously interests a fair number of people.
Case in point: The reality that it's unpopular doesn't save you from the downvotes you're currently getting from those who wish it were otherwise.
10 kids participating online, 10 kids physically in class. Switch daily.
Tesla 2019 Impact Report [pdf]
I somehow forgot to add the essential part of my comment. Sorry, here it is:

If someone prefers a narrow tab width and breaks lines based on that, then someone who prefers a wide tab width will get overfull lines:

20 column limit, 2-column tabs:
if (a==b) { |
if (b==c) { |
some_function();|

20 column limit, 4-column tabs:
if (a==b) { |
if (b==c) { |
some_functio| <- overfull line

Either way, the project has to set some sort of official tab width. Or at least, a maximum tab width.
This reminds me a lot of pain related to finance and gambling losses, underwent by someone being much riskier than they should have been. You can tell someone about the risks of gambling or very-high risk investing, but in my experience the best teacher by far is for them to experience pain from something gone wrong themselves, which is generally them losing a lot of their hard-earned money, and feeling somewhere between 'terrible' and 'I want to kill myself'.

It's the one type of reinforcement that hurts badly enough that it can correct their future actions to be of more reasonable riskiness. A lot of people that I watch go through the psychological cycle of gambling, whether via casinos, cryptocurrencies, stock options, etc, will often not stop until they're forced to by the pain of a terrible loss. It's unfortunate that this is the most effective method for some things to be taught, but that is part of life.
State of the Art in Voice Cloning? (2020)
At this moment, most of Google search results point to this Github repo: https://github.com/CorentinJ/Real-Time-Voice-Cloning

I've tried it, really nice but it looks like this technology is not quite there yet.
Are there any better solution?
That's fairly common in investment banking and is called "gardening leave". My understanding is that in banking you get your salary but not your bonus during the gardening leave period.
Big Shifts = Big Opportunity (Part 1)
My feeling is that I just want AWS Lambda functions to allow for larger packages. And then clusters and scaling and OS updates etc. are Amazon's problem.

I would rather just be able to do that than get into ECS/Fargate, much less K8s. It seems like all of that stuff is just adding more complexity for me.

Of course none of my projects are gigantic or need to be highly secure.
User experience is a broad term. People here generally think of speed, but in fact that can actually result in a worse user experience. I believe users react better to a loader that takes longer for certain tasks like calculating tax returns because they like to think the computer worked hard to get the best result. It’s not always black and white.

I have had to implement features that are awful for the users, but are required by law to have. Others to protect the business from liability.

I’m not saying doesn’t serve users as the original comment was “user experience” and was specifically mentioning JavaScript in terms of a presumably slow site. User experience is many things and all of them need to be considered. I totally agree that sites have gotten way to bloated, but the js community is recognizing that and trying to work on it, lazy loading and improvements to module bundling are going to help. I think the craze of tiny packages is coming to an end. Libraries post proudly when they have zero dependencies. As the community evolves it’ll improve, though some sites will probably continue to get worse as higher ups demand more features.
My guess is this is designed to be a counter to Chinese hypersonic anti-carrier missiles, by being able to take out the launchers for these missiles.
So much of this is commentary by people who have never worked at a successful startup that grows from zero to 100M+. Purists who would do well with a union and have never felt what it is to be part of a core team that brings something from zero to changing the world. They focus on questions like what has the company done for me? And ignore the basic tenets of employment. Go work for a 10,000+ company with that attitude.

1) Decide if this company is in this category (you’re proud to be part of it and think it can change the world);
2) Decide if you are someone who is capable of doing this (it’s a huge commitment, are your ready and able to be a world changer?);
3) Determine if you’re in an early enough group to justify this commitment (~first ten? 20?); and,
4) Set reasonable parameters around checking in / email to be available in an emergency, but otherwise are on holiday (i.e. if it’s not an emergency / meeting agreed upon emergency requirements, you’re on holiday and not working)
— you’re not just answering questions via email).

Above all, say what you mean (I will / will not do this) and do what you say.

For context, I’m founder of three startups collectively >$500M exits. And any first five-ten employees who didn’t understand the above would have a short tenure. They’re simply not startup material.

That said, we strive for 40-hour weeks, we take evenings and weekends off, and we expect all statutory holidays and personal holidays off — always with the caveat that if the fit hits the shan, we’re all available to band together and solve the problem.
This touches nicely on why I have always preferred science fiction, fantasy, fairy tales, and mythology to historical fiction:

When the whole thing is fiction, you don't need to fuss about which parts are historically accurate.

Historical fiction must necessarily be a blending of truth and lies, and as such it has never held my interest.
This is not uncommon in FinTech and big funds/banks. You basically take a 3-6 month vacation, all paid, before actually leaving. Yo do not engage, and are not allowed to engage, in any meaningful work in the meantime.
"The basic model was stay at home until either a vaccine arrives or until we have anti-viral treatments that reduce severity and improve outcomes."

Something key about this statement:
This was not what the public was initially told. We were told that the lockdown was to flatten the curve while testing was ramped up and to ensure that the rate of infection was slowed to prevent a spike from causing avoidable deaths due to an overwhelmed health care system. It wasn't sold as reduction of the area under the curve.

The narrative of staying locked down until a vaccine was developed didn't happen until after the lockdown became a political football. That was a ridiculous notion, based on the typical time to develop vaccines, especially since a coronavirus vaccine has never been developed before for SARs or any others.
Same thing happened to me November 2018. I wonder if it started back then?
If the project requires me to locally install a database, configure ports, or anything of the like, that's a shining red flag that things are very wrong

Backend project? you need to provide a docker-compose setup. Not just for the database, also for any other service like Redis, ElasticSearch, etc. If you're expecting PRs, you'll also need a good database unit test suit, preferably running something like Sqlite.

Frontend? ideally you'll provide the API setup like before, but I'll settle for a dev env online.
Pollen is apparently another cause of variation: https://www.medrxiv.org/content/10.1101/2020.06.05.20123133v...

Of course, there are multiple causes, and trying to pin variation in infection rates or deaths on a single factor would be silly. Hopefully we find the driving factors... Spring or vitamin D could explain why Italy doctors are opining that the disease is less deadly now than in March.
> I personally think that non-compete agreements are a strange beast. On one side...

> On the other side...

Is there any single party interested in both of these goals?
They’ll burn out in a year or two. Their business model isn’t sustainable for the caliber and quantity of content they’re producing.