skysight-inc/HackerNews huggingface dataset:
Noise pollution and additional crime experienced by neighbors from the short-term guests staying at Airbnb locations would qualify as an externality. Higher occupancy in Airbnb locations stresses capacity in pools, parking, gyms and other amenities of the neighborhood or complex is also an externality.
> _has_ to go through them

Strong wording for something that is not true. You can bypass them by getting a Tesla.
> The extreme false positive rate of COVID testing

Tools developed in one tenth of the normal time aren't perfect. Hardly surprising. If they detected covid most of the cases when people had it, they work. Much better than having no tools at all.

> Blindly combining "of" and "with" Covid cases for cause of death based on those same broken tests.

It does not matter if you die directly by a disease or by the sequels of the disease.

Lets assume that people were not dying really from covid. This still leads us with the problem that people were dying massively and more often than in normal years so we have a second hidden agent killing people that nobody found. How do we explain it?

> Influenza, pneumonia magically took a couple of years off during Covid

Easily explainable when everybody was using masks and social distance in those two years. People remaining at home don't pick influenza at the same rate than people in a concert

> PCR testing cycles at extreme highs

I'm unsure about what you want say with that. PCR testing needs to chase an organism that is mutating fast. They need to change at a high pace. Lab chemicals and reactives having an expiring date is not rare

> and profits of the pharma companies that coerced unproven,

Green card granted by all regulatory agencies, so proven

> untested,

overtested, the entire planet toke it one year before the first antivacs

> ineffective "cures" that do not prevent infection

vaccines never claimed to prevent infection. The makers repeated it again and again.

> [not prevent] spread

About spread. Too litle, too late and one step forward, two backward.

Negationists and agents actively promoted the disease, sabotaged healthcare and created chaos. People was videotaped deliberately coughing in the face of other after tearing off their masks.

The same people were videotaped later grooming the masses to commit a coup. Caught trying to sell a computer stolen from the capitol to Russian agents. None of them where found linked with pharma companies (and is very unlikely that a pharma company would lobby for convincing people to reject pharma products).

Not really fair to blame pharma while people were sabotaging the control.

>, or reduce symptoms.

This is simply false. Is a proven fact that vaccines reduced symptoms and saved people. Just take a look at the statistical data.

Is proven empirically that most of the zillions of people that received the vaccines didn't developed serious collateral effects.

Is proven than the group that received vaccines had a lower mortality than the group that rejected them. There are dozens of notorious antivacs videotaped bragging about the "inoffensive" disease, actively trying to caught it, doing everything wrong on purpose... and realizing too late that they will were dying from covid.

I agree that the main cause of death here should be stupidity, not covid.
Remaining vacation days should cover the better part of one month alone. If you don't want them to come in for whatever reason, you can send them on paid leave.

Most companies stop having "legitimate security reasons" when the alternative is to pay people for doing nothing. Turns out the fact that actual sabotage and theft of trade secrets is illegal (and often represents a breach of the employment contract, which can incur hefty fines) is a sufficient deterrent for most industries.
The target audience would be someone like me.

70% of my work is backend, 30% frontend which itself is split between older technologies with a good chunk of react on top.

Half the time I come to work on the front-end react has moved on yet another major version and it's really useful to have a reference to get me back up to speed.

Searching the web is often not so helpful because blogs I find tend to be written by beginners who often get things just as wrong as I would if I figured something out then wrote a blog straight after.

Documentation is more useful but often very dry and often doesn't explain what to do when things start to go wrong, such as diagnosing race conditions or the mysterious messages you sometimes get from react itself about things you're doing wrong.

I don't know about this book in particular, but in general any books helping transition me from my react 1.0 days to modern react that go a little deeper than "intro to hooks" blog posts would be helpful.

As for "pay money", it's the sort of book I'd hope my company would shell out for, at which point it seems a small cost for a team to have as a reference compared to all the other costs of software development, there's a learning and self improvement budget that needs to be spent after all, and not so many conferences one wants to go to post covid.
Download an archive of your Twitter data
That reminds me of the story of an Old Believer Russian family that moved to Siberia around the 1920s and was only found again by Soviet miners in 1970s. The patriach of the family was not educated, but he and his children managed to infer that the fast moving stars newly risen in the 1950s to be man-made stars (satellites).

Sorry. 1936-1978.
Still

Here you go:
"though he steadfastly refused to believe that man had set foot on the moon, he adapted swiftly to the idea of satellites. The Lykovs had noticed them as early as the 1950s, when “the stars began to go quickly across the sky,” and Karp himself conceived a theory to explain this: “People have thought something up and are sending out fires that are very like stars.”

https://www.smithsonianmag.com/history/for-40-years-this-rus...
Even tho I can't see the site, I love the idea of rule changes. We live in a golden age my friends; computers, automation and a massive online player base opens up so many opportunities to tweak the rules of existing games and see what falls out.

Maybe my rule change idea has already been implemented, but, other than building it myself, is there a way to play / automate chess / checkerboards of arbitrary sizes? Bigger / smaller boards, odd numbers of tiles, rectangles, etc. How about adding and removing pieces, an extra rank of pawns for example. Letting it run / learn for a million games or so and see what comes out.

Please let me know if yous guys have seen something similar.
Maybe it is not very relevant today but car dealers offer a range of service unrelated to building cars, such as dealing with vehicle registration, insurance and financing.

In the case of Tesla, it is more accurate to say that they are their own dealer since they provide services like financing and registration. They even have their own insurance. Of course, these services are not free, and neither are test drives and showrooms, they are included in the price of the car.

The difference with the traditional dealership model is that they only sell Teslas, and that they don't want other dealers to sell Teslas. In a sense, they are anticompetitive.

Yes, I am playing devil's advocate here, but that's to say there is a reason for this dealership law.
> Whether they provide value is kind of irrelevant, because one (at least in the US) _has_ to go through them. Is their markup equal to the value they provide? We'll never know, because we can't choose to not go through them.

To me this is a bogus argument because with Tesla you don't have the other option. Well, you kind have it but Tesla showrooms/service centers are usually a shitty experience in terms of "a salesman caring for you".
Anyway, I'm from Europe and I guess that the car dealership experience is pretty different (I know the US ones just by movies and Monkey Island)
This might be a better starting point:

https://docs.hylang.org/en/stable/whyhy.html

Shortened from there:

Hy (or “Hylang”) is a multi-paradigm general-purpose programming language in the Lisp family. It’s implemented as a kind of alternative syntax for Python. Hy provides direct access to Python’s built-ins and third-party Python libraries, while allowing you to freely mix imperative, functional, and object-oriented styles of programming.
Before or after they were bribing politicians for favourable regulation for FTX at the detriment of their competitors who were not fraudulent?

https://prospect.org/power/sam-bankman-frieds-multimillion-d...

> Crypto’s supporters in Congress are determined to ignore the massive gap in capacity between the two agencies; in fact, they likely understand that its incapacity is part of its appeal to FTX. A bill proposed by Sens. Cynthia Lummis (R-WY) and Kirsten Gillibrand (D-NY) seeks to grant the CFTC “exclusive jurisdiction over any agreement, contract, or transaction involving a contract of sale of a digital asset that is offered, solicited, traded, executed, or otherwise dealt in interstate commerce, including market activities relating to ancillary assets.” Perhaps in anticipation of such a move, FTX has stocked up its ranks with former CFTC officials. Former CFTC commissioner and acting chair Mark Wetjen is FTX’s head of policy and regulatory strategy. Ryne Miller, who was legal counsel to Gensler when he led the CFTC, is FTX’s general counsel. The Tech Transparency Project has also identified 14 other cases of CFTC alumni revolving into the crypto industry.

Vote these people out.
Right, but Go doesn't have sum types, and I think it's a mistake to interpret Go's error handling conventions through that lens. It's perfectly fine to return an error together with a meaningful value. At least, I haven't been able to find any official Go docs suggesting otherwise. You might wish that Go had sum types, but that doesn't mean that it's an actual Go coding convention to pretend that (err, X) tuples are sum types.
The sinister attempts to ‘decolonise’ mathematics
I find it curious Musk was able to snif out SBF as a bullshit artist in his 30 min. Meeting with him, whereas countless polititions and regulators aparently did not have a clue despite years of meetings and other contacts.
And how much did Microsoft pay he?

There is a old comic (some years ago) about "paid exposure" of Oatmeal:

https://theoatmeal.com/comics/exposure
I thought rem was "root em" since its relative to the document root and not relative to the parent like em.
Have you ever been to a truly dark sky area though? I used to think I could see a lot of stars and then I went to a truly remote area 100's of miles from a large city and dozens of miles from even small settlements and my mind was blown away by the clarity of the milky way.
Does this include replacing all existing instances of this class with new instances? Otherwise, how is this different from what we can do in any other dynamic language like python or javascript?
Have you ever been in an airplane during a sunny day? You can get blinded by reflections from small objects like windows, or even sparkling from water and the like. And that's sunlight that's gone through the atmosphere and back up for up to 10 kilometers, this one gets hit by direct sunlight.

I'd say that absorbent or light diffusing material should be mandatory, but absorbent material would mean the surface gets really hot.
Dealerships are a plague, so I support this. Helping Native Americans is also very nice.
The mitigations can be planned for so the hit isn't as big when it does hit.

But that eats into profit margins today so it doesn't happen...
Then… maybe don’t put it on GitHub with a MIT license?
The conclusion rather states that the current melting speed increases the chance of now finding more Ötzis.
> How long is the half-life of architectural best practice?

This is a great question to ask, though I think one should also apply that same way of thinking to frameworks, languages and a lot of the other software out there (like OS distros or databases).

Probably while looking at the Gartner hype cycles: https://en.wikipedia.org/wiki/Gartner_hype_cycle

Sometimes there are good ideas that turn out not to be feasible, whereas the same can happen with the technologies. Whereas if a technology has been around for a large number of years and hasn't died yet, then that's a good predictor for its continued existence: like Linux, or PostgreSQL.

> It seems to me that after ~10 years, half the cargo-culted ideas that young developers go all in on fail. Perhaps that's just long enough for them to get older and gain experience.

Another thing I've noticed is that sometimes the "spirit" of the idea remains, but the technologies to achieve it are way different. For example, we recognized that reproducible deployments are important and configuration management matters a lot, however over time many have gone from using Ansible and systemd services to shipping OCI containers.

These technologies bring their own cruft and idiosyncrasies, of course, but a lot of the time allow achieving similar outcomes (e.g. managing your configuration in an Ansible playbook, vs passing it in to a 12 Factor App through environment variables and config maps).

Of course, sometimes they bring an entirely new set of concepts (and capabilities/risks) that you need to think about, which may or may not be intended or even positive, depending on what you care about.
I think the root cause of cat abuse is that grep just takes the parameters the wrong way around. It happens much more often that I want to tweak the pattern and I know which file(s) to grep than the other way around.
https://archive.ph/SAI6f
If you persuade the NIMBYs that is.
Watch Will Byrd's MiniKanren Uncourse. The topic sounds off, but he takes a few videos to get there, making a Lisp on the way, explaining this, or a variant of it. Should be within the first 4 videos.
If we had he opportunity to simplify some rules in French, it's not the one I'd do first.

How about getting rid somehow of the letter ù which is used for only one word (où)? Or replacing quatre-vingt by huitante (and same for 70 and 90) like in Switzerland? Or getting rid of œ and æ?

But none of it is realistic. We officially changed from oignon to ognon 32 years ago and people still don't know about it...
No, specifically not those. Subways are great for moving masses of people in a city, but they have long lead times in building and require some amount of density. I rather liked living in London, but say I wanted to go from my flat by China Wharf to play some footy at Burgess Park? 10 min on a bicycle, except I'd lose my bicycle. So 10 min on this scooter thing, or it's half an hour by bus or walk.

Or say I wanted to go down to my office in Levallois-Perret from where I'm staying in Gennevilliers. 20 min by bicycle / scooter. 40 min by metro / bus.

There are a diversity of destinations and rail is great, but it's no substitute for micro-mobility. And that's in London/Paris where trains are every few minutes down to every minute. In America? Subway is not competitive for these distances.
https://news.ycombinator.com/item?id=33592589
>and this kind of leak has side effects

Only if the calling function does something with the pointer (which it generally won't, if err is non-nil). If the calling code does do something with the pointer even when err is non-nil, then either

(a) the value of the pointer is meaningful, and this is fine; or

(b) there's a logic error in the calling code, which is a far more serious bug than a potential memory leak.

So I don't really see the problem here.
Ask HN: Is this Dell laptop good for beginner programming? If no, what else?
I would like to indulge into programming, and want a laptop with at least 8 Gb RAM and backlit keyboard. Plus preferentially 4 processor cores and hard enough (and easy to dismantle) casing.

I already have a cheap HP 250 G6, which computationally works decently, but has a cooler fan replaced (with 3 mo of warranty) and some plastic fixing the display bezel screws broken. I don't know if I won't break it even more upon repair/attaching glue (the probability of which is ~20-10%).

There's some review of a similar Dell laptop here [1]. I want to run at least Python, C/C++, machine learning, Blender and other CADs, data analysis on this laptop. The Dell Vostro 3510 (Core i5-1135G7/8GB/256GB SSD/15.6" FHD/Intel UHD/Cam & Mic/WLAN + BT/ US Backlit Kb/3 Cell/Ubuntu) with 4cores/8 threads, 2.40GHz, 4.20 GHz max seems decent. It has Ubuntu preinstalled and I do not want to pay for Windows, which I will eventually erase for Linux. But it seems to have a feeble casing, though on the Dell website for this laptop Dell writes that it has a hard plastic.

My budget is around 500 euros, 400 would be ideal. But for 400 there is a similar Lenovo laptop with DOS and some metal casing at the local store (eastern EU), which has only a 1 year warranty vs 3 years for Dell. On laptop media there's also information that Asus Expertbook series has a fortified casing, but all ASUS'es here come with Windows.

Is this Dell laptop decent for beginners to start long programming sessions?
Or what else can you recommend?

[1] https://laptopmedia.com/review/dell-vostro-15-3510/
It costs a lot to build them; might as well make it count.

I'm no astro something, but I can imagine it's cheaper to build a large telescope on the ground than it is to build a small telescope in space. I'm sure people have crunched the numbers.
Totally agree.

If you use django you get the following out of the box:

* Database management (migrations / schemas)
* CRUD UI -> Django admin
* Plug'n play API -> Django rest framework

If your DB schema is not super complicated (think views etc) and you are not relying on DB procedures, then such framework would save you so much time.
Nice the site is down now for some reason
Things blow up quicker in crypto because it's transparent and people can withdraw billions of dollars from an exchange in a single afternoon (not possible in a trad fi bank). Tradfi has had 1000x more financial scandals than crypto. You are woefully ignorant on the subject and the scale of the crises is worse in tradfi. From Railroad Panics to Prohibition to Great Depression to Savings & Loan Crisis to the Tequila Crisis to Weimar Republic to Stagflation to Enron / Worldcom to Dotcom Bubble to Japanese Lost Decade to Great Financial Crisis to the current bubble to on and on and on. Read a history book.
> they're a serious journalistic publication and have verification standards for sources

It goes both ways. It seems like they didn't do much verification of Sam's claims.
I have a question. A person of such incompetence could have achieved such great success, how is that possible? In addition to being technically incompetent, he seems to be incompetent when it comes to managing people and running a business.
> He's right about the specific NYT article not including much pertinent information, but they're a serious journalistic publication and have verification standards for sources.

Ok? Regardless, this piece does a significantly better job than the NY Times and the "serious journalistic publication".

The times articles actually misleads readers into thinking that the FTX downfall was moreso from bad timing & outside attacks then from SBF fraudulently stealing user funds.

> immediately cite anonymous Twitter anecdotes as better sources

The Twitter accounts directly quoted have many followers and a long history of tweets that are easily searchable.

If you're referring to the Autism Capital tweet, that's a tweet of a photograph which you can look at yourself. It's clearly a stimulant that says EMSAM on it.

Name the specific tweets in the piece that you find incredulous rather than an ad hominem.
Every system will have corruption so the only one that will actually work is one that is at least somewhat resistant to it
It's understandable, but most other ceos don't go around LARPing as free speech absolutists or complaining about cancel culture.
For reference:

https://www.cnbc.com/2022/11/13/sam-bankman-frieds-alameda-q...

> In making some of these leveraged trades, the quant fund was using a cryptocurrency created by the exchange called FTT as collateral. In a lending agreement, collateral is typically the borrower’s pledge to secure repayment. It’s often dollars, or something else of value — like real estate. In this case, a source said Alameda was borrowing from FTX, and using the exchange’s in-house cryptocurrency, FTT token, to back those loans. The price of the FTT token nosedived 75% in a day, making the collateral insufficient to cover the trade.
https://en.wikipedia.org/wiki/Nothing-up-my-sleeve_number

Similarities apply. "We weighted these benchmarks 1:1:1" and "… 0.7:1:1:3" don't carry the same persuasive force.
Don’t worry, not including a charger in the box will make up for it /s
They have an open source project they are happy about being included in the current version of the game and you're the one mad about it.
Dealerships in the US make a lot of money by convincing people to take bad deals. They're known for being sleezy and exploitative by default, as the model encourages that.

A lot of people want to be able to buy a car the way they buy almost any other consumer product: easily, for a set price they can research ahead of time. Dealerships stand in the way of that.
It worked before in this country, so it can be made to work again, even within the constraints of this political system.
I think other similar research has mostly determined that it’s about alertness more than geography. You happen to be particularly alert when walking.

That being said, teachers used to tell me it was important to take tests in the same seat you sat in to learn the material. Even switching something as simple as your vantage point would change access to the memories. It’s all pretty complicated stuff!
I don't think human ghosts are mammals, but for some reason that surprises me. I guess maybe my instinct is that mammals are a class of physical creatures, but mammal-ness seems simultaneously an inherent part of human-ness. I'm not sure what to do with this information.
If there's anything Tesla seems to have proven, it's that dealerships are actually good (or at least better) for the customer. Tesla customers are a captive audience wholly dependent on a startup with no customer service. Non-Tesla customers have virtually infinite options, and someone to actually take care of them. I suggest you read even the most die-hard Tesla fansites and see just how bad Tesla's anti-dealership strategy is for the customer.
> This turns out to have been a good investment for the US and Tesla and arguably the world in general, because it proved the capability of electric cars (as well as their market desirability).

Did the taxpayers get shares for this investment? If not, I fail to see this as an investment … it would be a gift to Tesla shareholders.
The politicians and regulators wanted SBF's money. Musk didn't need it.