skysight-inc/HackerNews huggingface dataset:
I suppose it boils down to buying a service at a price, and the “bidding” process is just a price discovery tool for Google, not the customer. Is there anything wrong with Google charging me double via an “internal bid bot” so long as the big cost is in line with my boundaries?

If I’m trying to buy a car off a showroom floor, and the salesman says “you better take this price, I got 4 more people lined up to buy it,” does it matter if those 4 others are not genuinely interested or even real at all? It’s a bit slimey if a sales tactic, but if you say “I’ll pay nothing more than X,” you’ve lost the negotiating position. If you tell google “I’ll pay $3cpc for this phrase”, well now they should be shopping that phrase with all its might.

At the end of it, google has a primary interest in keeping its adtech optimized in a bang-for-buck sense for consumers vs it’s earnings. If they get carried away with charging too much, customers will start just walking away without a purchase. Just like the car salesman.
Looks like these guys are just sitting around playing video games...haha
It's an average. Strokes can be very small and localized.
If the project involves spending 6 months writing code involving navigating graphs, then SQLite probably isn't the right choice. If it's one or two queries, that's a different situation
To add to this, as a senior employee, bringing someone junior up to speed to the point where they can make actual contributions is a big consumer of time typically. Less so for employees who come in at medium rank but even then there is a hand holding period as the new person gets used to the company culture.

In a sufficiently large company you could have a specialized onboarding team, but you’d need to be careful that the specialized team doesn’t get isolated from the technical culture and needs of the rest of the company
Servo was ported to hololens and samsung has also been using servo as a foil to chrome. Servo will survive.
The Myth of RAM
TIL that gross profit is not the same as net income.
Pay cut to work remotely – Fair deal?
Agreed, I felt safer in Acapulco.
I've used trigram matching of article title strings with some success for comparing similarity of news article. If the strings are greater than .6 they are probably about the same topic.
I recently went with an ecobee for my smart thermostat for exactly this reason.

Given Google's track record sunsetting services, it's an actual legitimate concern whether my device might get bricked one day. A smaller (yet firmly established) company providing one core service seemed safer to me, and bonus that it was Canadian too.

The other half of the coin is what to do if you need service. I've read enough horror stories here about dismal service to avoid Google for anything other than what I already use them for.
Two reasons:

1. It deliberately replaces some versions of libraries with different versions. That's a feature I could do without.

2. The use of integrity hashes on cross-origin resources breaks Decentraleyes[0], and it's not fixable without browser changes.[1]

[0]: https://git.synz.io/Synzvato/decentraleyes/-/issues/16
[1]: https://bugzilla.mozilla.org/show_bug.cgi?id=1419459
It’s worth reading the source here:

https://www.nytimes.com/2013/06/20/business/in-head-hunting-...
> Here’s a silly one one: I give a derivative whose price is $1 if a solution (that is known to exist) to an NP-hard problem is found by a given time.

With a similar approach, we could 'prove' that market efficiency is non-computable, right?
About your last point, you shouldn't conflate popularity with being better. There are languages with heavy focus on education (both in the language itself and tooling) like Racket that are still not heavily used compared to python even when they provide a great environment for learning from basic to more complex comp sci.

Regarding Julia, yes the focus seems to be more on college, where the matlab-like math support makes it a lot closer to regular math. Though since it's not very different from Python someone can still pick it up easily from knowing Python in high school (or Racket).
You misunderstand the ambiguous wording. If you study only includes people with an illness, the illness itself is a confounder.

The point is that if you have a non-ICU covid case, this research is unlikely to apply.
Where are the audits of MTProto2 then?
They don’t. They do however have a policy of closing down tickets which are unpopular after beating customers down.

Like the whole CLR telemetry thing.
This is perhaps impossible to test (which shows the fundamental weakness of social science) but I think it's nonetheless relevant: studies like this don't factor in overall societal attitude.

I can't be the only one that has felt tired, depressed, and just plain bewildered over the past six months. The pessimistic doomsday mentality affects everyone, even if you don't actually get the virus. If I took an IQ test today, I bet I would fare worse than pre-COVID (and I haven't gotten it.)
I regularly monitor my O2 saturation (via an OTC pulse-ox) when flying unpressurized airplanes.

It’s extremely easy to raise my O2 sats at altitude by conscious deep-breathing, but IME, it’s incredibly difficult to lower them near sea-level by any amount of conscious breathing changes. I’m curious to try the Wim-Hof methods on my pulse ox and I’ll do that, but I fully expect to see consistent 98-99% O2 sats here at 10 meters above sea level with anything other than changing the air composition to reduce partial pressure of O2.
> symptoms of illness is the illness itself

Is it a symptom of the illness or a symptom of the treatment? If you had a better treatment protocol, would it still happen to the same degree?
I love Apple's solution when it comes to localization, they will search both the non-localized name and the localized name. So if you're looking for Image Capture, you can find it with Transfert d'Image and with Image Capture.

In the case of Gmail, it would mean that you could search both for in:Bin and in:Trash. The only issue would be if someone creates an additional Bin label in a US locale, then in UK, when searching for that label it would also show items in the trash but that's a better trade of I think.
How long before these jobs outsourced to lower cost countries?
What's also good is that one can combine cargo with Guix as an OS/multi-language package manager, for example when other tools or C libraries (say, alsa-lib) are needed. Guix provides currently 15,000 packages including many rust packages (https://guix.gnu.org/packages/R/page/21/ ), and uses of course cargo for building rust packages. The reason why I think this is the right way to do it is because in big , quickly-moving projects, the only comfortable way out of dependency hell is to use a Linux distribution with checked-to-work dependencies, or one is damned to the task of building a distribution oneself, and a checked distribution of packages is precisely what Guix provides.

Because own, or project-specific package recipes, which contain dependency and build instructions, can just be added to the public package definitions (https://guix.gnu.org/blog/2018/a-packaging-tutorial-for-guix...), this allows to deterministically and hermetically build multi-language projects on top of a very solid base. And for testing with another version of a C dependency (say, alsa-lib 1.1.9), one just needs a branch with another version number in the build recipe.
Doesn't that line of argument only work if nature's algorithms can be shown to be both precise (giving exact solutions) and complete (able to solve every valid problem)?
native performance for things you run repeatedly.
I have been dealing with something that sounds very much like what you describe. It started a few years ago. At the moment it is manageable. I've been in and out of many many doctors' offices.
Bloodworks actually indicated a recent (but past) EBV infection, that's why your post rang bells with me.

Would you have pointers to how to nail this down? Introductory material or such?

I have to say I really feel your description of the anxiety cop-out. I literally had doctors shouting at me "you are not sick what are you doing here" at some point when I was sitting there already nearly crying because once more I was sitting there, mostly fine, when a few hours ago I was barely able to get up, let alone get on a bike to go to a doctor. And yes, "anxiety disorder" was diagnosed, but no treatment... because I guess the solution is just to "man up" right and stop being such a wussy. :(

Edit:

since others are sharing their experience of the cognitive impact, I'm gonna chime in here.

For me, the episodes came in two flavors:

1. I was feeling weak, and felt like falling. That was both in reality (I was having trouble staying upright and had to lean and hold onto everything and anything while standing/walking) and in my head. It wasn't so much that the world was spinning. It was more like sitting on a chair, rocking back and forth on the hind legs only. And then the moment when you realize you lost your balance and are going to fall over backward. That feeling.

2. I was also feeling weird but had no trouble with balance. However, the whole world suddenly seemed unreal and far away. Like seen through a bad CCTV screen.

Needless to say, both of those states, experienced at random times over months and months, with no explanation, and little support from doctors who were either uninterested or seemed to think I was just seeking attention, did indeed make me more anxious than I ever was.
Discipline Doesn't Scale, Defaults Do.
Aside from other factors like better treatments, it seems logical that mutations of the virus that make it less severe and therefore less detectable would spread more easily. Social distancing could inadvertently be breeding the virus towards banality
Japan's Secretive 'Soapland' Brothels Operate
> Yet such political tweets, as the political communication scholar Shannon McGregor finds, are increasingly making their way into news coverage as stand-ins for public opinion.

This is concerning and I think what causes casual news readers like myself to worry about people being divided. But as the article says, it’s a hard problem to solve, showing and discussing the real public opinion on topics. Overall this article makes me optimistic that the majority of people aren’t polarized.
this looks cool! great way to get started algo trading. timed perfectly for some volatility ;)
Facebook Stings Babylon Bee
It's probably to get better cache hits. Otherwise they need to store every version of jquery, for instance.
I really like Pitch’s emphasis on Keyboard shortcuts. IMO all UIs should have a keyboard-centric mode. See Kitemaker and Superhuman.

It doesn’t yet have basics like dotted lines and curves lines etc but I assume those and more will come soon.

What is the differentiation compared to SlideBean? And Canva ?
Yes. It's effing gmail. It's a search engine with email functionality.
Oh dear, I should not have to labor the obvious but I will.

With all the medical schools, hundreds of thousands of doctors, pathologists, diagnostic tools, xrays, MRIs, etc. etc. that we've had available in the 'modern' era of medicine - in the last 100 or so years - how the fucking hell did we miss something as 'obvious' as this? QED!
Sure, but (and I am apologetic to be labouring on this point) if you have a small one-off blob of data that needs to be processed as a graph, SQL is the worst language to do the processing and a database is the worst place to be doing it. Get it into memory, use a programming language that supports recursive functions.

This is the basic argument here. If the situation is delicate enough we need the database to be doing graph operations, why would we pick SQLite? If it isn't, why would we pick SQL over Python?

I don't think it is bad that SQLite supports this, just ... what are the circumstances where this is a good idea? Is there a reason to do graph-style algorithms in SQL?
You can do this with GitHub Projects (the Trello-like interface). For my personal projects, I use GitHub Issues as a dumping ground for ideas, which automatically go into a "Triage" (inbox) column, which I go through and assign labels and priorities every week or month depending on the project.

The downside with GitHub projects is that you can't automate based on labels so the issues need to be organised into columns manually if you have more than the simple one board with To-Do/In-Progress/Done columns setup. Though search and filters slightly helps with that.
For me the main selling point is speed. I had coded a simulation in Python which was slow (would have taken days for the whole thing to run). This version did not use Numpy. Then I coded it in Python so that I could use Numpy. Just to be able to use Numpy I had to use arrays, where it did not seem natural for the problem I was solving. The numpy version gave me a 5 times speed up compared to the original Python version. I then coded it in C, which was about 20 times faster than the numpy version (and 100 times faster than the original version). Then I coded it in Julia, which was much easier to code in than coding it in C as well as Numpy. I could use loops where they felt more natural to me. It was essentially like the C code, but using many high level functions that Julia provides. Not a least bit difficult than the original Python version, would even say that it was a bit easier. The Julia code ran just as fast as C.

Other benefits (not over Python, but I believe worthwhile when choosing a language): very friendly community to beginners. You ask simple questions and get answers without any attitude. As I noted above, many high level functions that make dealing with data much easier.

If you are going to try it out, I would recommend using the Long term support release, rather than the current stable release. With the latter, I have had issues where some packages often don't work for me. With the LTS release, I have yet to experience that. Maybe I am doing something wrong, but for me LTS release works great.
That we still find new structures within our own bodies should be deeply troubling to anyone in the medical sciences.

I for one would be deeply ashamed if I suddenly found that bytes had a ninth bit we never suspected was there in the first place.
Thanks for replying. I'm not sure what is useful yet - first of all I am trying to understand the scope of the data sources and the methodology for selections displayed in TidalWaves.

I would like to see the list of publications if that is possible.

I am wondering what "trending stories" means in TidalWaves? For example, if the NYT at any point contains 500 stories, and is refreshed say 3 times every 24 hours, with say 100 stories aged off and 100 new stories added each addition, what is a trending story in the NYT? Does the front page headline count more than a page 27 minor traffic report?

How is the top 5 trending stories for USA derived?
You are correct, Elastic is a RAM beast. Fortunately the data I had was in the low hundreds of documents. Can't recall why I passed on Meili

Algolia… the other thing about JAMstack is, it's a bit tiresome how so many JAMstack solutions are paid services. I don't begrudge anyone trying to make a buck — I am too, after all — but the level of community, support, and rate of improvement just doesn't keep up with a really good open source project. Try to get help with a Wordpress issue vs Contentful.

Also their pricing seems to think that customers are either free-tier devs or enterprises who can afford hundreds or thousands of dollars a month for their services. Most of the people I deal with look at a $25/mo Squarespace package as reasonable and they're not wrong.

I won't consider JAMstack "of age" until we have an open source headless CMS on par with Contentful or Sanity.
This is great for driving adoption of cryptocurrencies!

However, the unwanted side effect is also the growth of centralized currencies used as "cash you can track" by governments. And we can be certain PayPal will know exactly where to steer their users...
Domain settings to improve automated email deliverability
> Conservatives don't have that benefit. They're always under far more scrutiny than liberals, because over 90% of journalists are liberal and they don't cover Democrats the same way. They spent 3 years on a fake Russian scandal against Trump. Spent $50 million+ and wasted the nation's time based on some DNC paid for propaganda hit piece by a washed up ex-MI6 agent.

This is a great example of what happens when you uncritically seek out information which satisfies your political biases without thinking about it critically. I’m sure you do believe what you wrote above because people you trust have told you to do so, but wishing doesn’t mean that it’s true.

For example, do you really expect anyone to believe there’s a global “the media” with uniform beliefs spanning everyone from the BBC and NPR to Fox News and The Guardian? Want to try using evidence to show that, say, journalists were covering for Hillary Clinton during the previous election? (Or for the amusing belief that they’re covering for Biden now by totally not covering this other than all of the hundreds of stories running about it?)

Your mischaracterization of the Russia investigation similarly shows that you’re only reading sources friendly to the subjects. There were multiple sources, none of them the Steele dossier, and it certainly found a lot more than nothing – all facts you’ve had easily available to learn for years but have either chosen not to or are at least hoping your readers have not:

https://en.wikipedia.org/wiki/Crossfire_Hurricane_(FBI_inves...

https://www.justice.gov/storage/report_volume1.pdf

https://www.justice.gov/storage/report_volume2.pdf

I’m not going to waste time further responding to someone acting in bad faith but don’t think I wasn’t amused by you going from claiming that a major multi-government intelligence investigation was a “made up tabloid story” while at the same time complaining that people are calling for verification of a tabloid story.
This should be interesting. I'll be particularly interested in seeing how Paypal handles KYC for the cryptocurrencies it buys and how it manages pricing variations, where they're paying merchants in Fiat.

Also all the people at Tether can plan to print themselves some new coins --> BTC and then go on a shopping spree :P (for the humour impaired, this bit is a joke)
They are comparing test results of people who reported having a positive covid-19 test vs those that reported no positive test or symptoms. The timing of the study should not be a factor.
* Hear hear

I had to look that one up.

https://www.grammarly.com/blog/here-here-vs-hear-hear/
The main selling point is the speed. Julia is high performance - in the same class as C, C++, Rust etc (perhaps 1.5x slower on average, but still pretty fast). This allows you to write all your code in Julia rather than just the surface level wrapper.

Then, because it's 20 years younger than Python, it has tonnes of ergonomics you would expect of a modern language: A nice, built-in package manager. Good code introspection. Easy ability to call C. An actually usable REPL. Built-in unit testing etc.
While it's true in 2004 there was still a Numeric/numarray schism, at the time I was using Pyrex (which soon evolved into Cython) to have a gradually strongly typed Python-like thing cross-compatible with the rest of the ecosystem. That made it quite easy to write code which ran circles around R performance-wise without leaving the Python syntax domain and with a very simple FFI to call C to boot. I even had a tiny "pycc" script to create "executables" instead of "importable modules". Yes, those executables did depend on the installed base of Python stuff.

These days, Nim is a better Cython but with less dynamic temptations and more powerful metaprogramming (and, yes, a much smaller ecosystem..maybe not that much smaller than Python in the late 90s, though). { Not that this is all Nim is...It's actually a really good everything-language that's tricky to summarize in just a few words. }
In the long run it will balance itself out as more employers get comfortable with remote workers and start poaching each other's employees via pay increases. Poaching will be easier to accomplish for remote employees and the switch between employers likely will be less of a hassle for the employee since they'll be staying in the same place (their home) and only changing their online environment and maybe the laptop they use.
I'm reminded of the scene in Mad Men where Roger says something to the effect of "I did everything they said for my ulcer, I drank the buttermilk. and now I have a coronary!"

Also, in the book "The King of Hearts" which describes the history of open heart surgery, the first open heart surgeries were done by sewing the circulatory system of two people together (usually mother and child). that was in the recent past.
Wrote an article on the French law, a major case on GPL reached court last year https://thehftguy.com/2020/09/15/french-judge-rules-gpl-lice...

GPL was found to be inapplicable in French copyright court, however it should be applicable under contract law. The developers lost 9 years and a good chunk of money suing, they even had to pay some legal fees.
I was envisioning primarily in person tutoring, which has been effectively done for a very long time. That said, online tutoring is an option that many can and would employ. That a few kids might need a different structure is a very good argument for the flexibility of tutoring.

We already transport students and people already commute to work. The money you currently pay to stick kids in your school district on a bus can be used to facilitate transportation for tutoring. Some tutoring services may provide a central location while others may bring the tutor to you, and you pick the one that works best for your family.

As for your other points:

Dedicated daycare facilities can be more efficiently set up if that is their only objective. Effectively teaching hundreds of students at the same time is impossible, so you need dozens of teachers and classrooms. But if your only concern is making sure they don't kill eachother, you can easily throw a few hundred kids in a gym or a plsyground and tell them to have fun with only a small handful of moderators - which is exactly what most schools do during recess. A good portion of the current school population probably doesn't even need such services (if your 18 year old needs to be babysat, they're going to have a very rough time at 19).

School creates the logistical problem of getting kids to and from school. Again, the bus you're already paying for can take people to a school or a shared learning center or a library or a tutor's office.

The money you are paying to maintain the school science lab can also be spent to support a community science lab. This building can be much smaller, less staffed, and more optimally configured than a full highschool

The money you spend to support a school computer lab can also be spent to support a community computer lab. In general this already exists at most public libraries. The same argument as for the science lab applies here.

The money you spend to support school lunches can also be spent on food programs.

When all you have is a hammer, everything starts to look like a nail, but a hammer is not the right tool for many jobs. Likewise when all you have is a school, every societal need related to children starts to look like a school problem, but that does not mean school actually solves those problems in an efficient way. It really does not take any great mental leaps to imagine services dedicated to solving individual problems being more efficient than something that was never originally intended to solve that problem.
FreeNAS not so much, needs x86, this board is ARM...
Habits That Will Train Other People to Treat You with Respect