skysight-inc/HackerNews huggingface dataset:
Old world tomatoes prior to early 1800's breeding projects and wild tomatoes look like currants, and being Solanaceae were considered a Nightshade. Not only in Europe, but as some have pointed out here well into the 1800s in America as well. George Washington grew tomatoes in his personal garden only for looks and thought they were poisonous. The vine of the plant itself as with all the solanaceae actually is at least mildly toxic but the dose makes the poison. So is eggplant. Potatoes are fine to eat raw when they're ripe so long as they're fully ripe, and not green. Green potatoes still contain solanine which will make you fairly sick if you eat enough of it. Potatoes also contain small amounts of nicotine, as do tomatoes and eggplants. For the longest time, tomato vines were considered to be completely toxic even very recently. They do contain tomatine and nicotine but only very recently in the last couple decades have some chefs ventured into cooking with a small bit of tomato leaf for an added rich tomato flavor.

For decades of large tomato growing, Ive gotten myself completely covered in tomato vine terpenes and juices from the vines to no ill effect. I was taught by my grandfather since I was really young that the tomatoes are ok to eat and that the vines are poisonous. This was mostly anecdotal and passed down from the time of the 1800s and earlier when people thought the entire tomato was a nightshade variety and then eventually thought only the fruit was edible. Only in the past 10 years or so among us tomato breeders and absolute tomato fanatics in the culinary world has the toxicity of the tomato vine really been being called into question. Some Michelin type chefs have been cooking dishes with tomato leaves and this was pretty much completely unheard of and thought to be poisonous just a couple decades ago.

And all that being said, plants are the closest thing that I believe we have on this planet to magic. They're perfect little chemical plants, flavonoid and terpene producers. Just in tomatoes alone I've got beefsteaks that taste like mild pineapple, rich, meaty, heavy, and acidic to mild, sweet, and light. Peach tomatoes that actually grow peach fuzz and have a mildly tangy citrus profile to them. With small cherry and currant varieties you have a quick sweet and tart snack that has no flesh. With a giant 2 pound heirloom beefsteak like a Sudduth strain Brandywine, the tomato is all flesh and is the absolute peak of bursting and rich "meaty" tomato flavor. I grow at least 10-15 different varieties a season and at times 40+. I can tell by the smell of touching the vines if the tomato plant is an heirloom indeterminate or a hybrid.
Now I'm rambling, but I __really__ love tomatoes. Huge passion of mine. In the next few years I plan to start an entire acre dedicated to tomatoes and a focus on keeping some of the oldest heirlooms alive. Ben Quisenberry is a huge hero of mine.
Or, more simply, this business only works if prices are going up, and home prices aren't going up. Zillow saw the house price bust coming, and got out.
What's heavy-handed about Kotlin's apply? It's just an extension function in the standard library (so not a separate language feature, if that's what you mean by "heavy"?) and solves the problem cleanly IMHO.

You can easily implement a similar extension function in C#, although the syntax is slightly uglier and you don't get the implicit receiver in the lambda.
The "Galaxy Brain" version of this advice is using plain old designated initialization of 'option bag' data structures. Here's a non-trivial C99 example from the sokol_gfx.h API to create a pipeline-state-object for 3D rendering:

state.pip = sg_make_pipeline(&(sg_pipeline_desc){
.layout = {
.attrs = {
[ATTR_vs_position].format = SG_VERTEXFORMAT_FLOAT3,
[ATTR_vs_color0].format = SG_VERTEXFORMAT_FLOAT4
}
},
.shader = shd,
.index_type = SG_INDEXTYPE_UINT16,
.cull_mode = SG_CULLMODE_BACK,
.depth = {
.write_enabled = true,
.compare = SG_COMPAREFUNC_LESS_EQUAL,
},
.label = "cube-pipeline"
});

Chaining might be useful for data processing pipelines, but not for simple data initialization tasks IMHO.
The biggest use case for these algorithms is IoT, and other resource constrained embedded devices. Quite frankly, I'm surprised you didn't consider it seeing as insecure IoT devices have been in the news pretty much since they hit the market.

Embedded devices, especially specialised ones arent poweful enough to operate sufficiently while also providing protection via the current "standard" crypto algorithms.
Notepad and Apache are still present and working. Probably not a good choice for a payment processing single page online store, but fine for a simple informational website.
It is. Every time my laptop screen blanks or go s to sleep, I have to fix my displays. Not everything is perfect but minor nits are solvable..
Elixir (really, Erlang) has tightly-constrained semantics around immutability and exception handling that make this feature a natural application of the core concepts.
Rules of the Garage (1999)
> Also in person meetings are useful over a video call largely because there is lot of information from body language you can pick up being up close to someone. There is a lot of information on how someone breathes, moves or posture etc.

I keep hearing this but don't feel I've lost anything working fully remote for the last five years. Are there experiments proving that a call with high quality audio is so much worse in business than a physical meeting?

Perhaps I'm just not perceptive enough to pick up on all the nonverbal cues. Though even if so I think calls are more equitable and accessible.
As a dad – heart breaking!

> …Once the shock of the A-T diagnosis wore off, we started researching. Within days, we were convinced that Bertrand did not have it.

> …In Bertrand's case, the cause of long QT turned out to be erythromycin, which had been used to treat his infection in the hospital.

Yet many doctors will actively discourage patients from doing their own research. "Amateurs!" I found that a very familiar part in Matt's otherwise unique story. I've seen two similar stories unfold in my family.

Here in the Czech Republic (ex-communist Eastern Europe), many doctors (esp. older ones) still cultivate that "don't speak to us, mere mortal!" aura and I hate that. I'm sure doctors have their reasons, but as soon as you fall outside their "typical bucket" of symptoms and causes, best do you own due diligence and remain proactive.

I now view doctors more as steam rollers – very efficient, backed by some impressive technology. But once off the beaten path… they're not that far from where you stand, as a HN reader capable of complex abstract thought, reasoning and research synthesis. Too many people put doctors on a pedestal (scientists too BTW, I'm saying as one).
> Your carrier can upload and run arbitrary code without your consent or knowledge. They can do this at any time.

Is that equally true of SIM cards and eSIMs?

I'm in the process of setting up a new T-Mobile phone and they say they support eSIM but they are really pushing me to use a traditional SIM card. I've been wondering why they care.
The full on assault on the right to work is reminiscent of the worst abuses of the XX century. Technically Stalin didn't mass murder the kulaks, he just decided they had a bad influence on the general population and offered them jobs in Siberia. "Look how many survived, even their poster boy, Solzhenitsyn, came back and had a very successful career." Plenty in the West applauded and downplayed their plight for decades. Some still do.
The virtual stuff you "own" in virtual environments are going to be siloed in individual companies' ecosystems. Just like GTA Online is never going to give me any sort of benefit from the fancy sword I have in World of Warcraft, neither is Facebook/Meta going give me any benefit from the couch I have in whatever system Microsoft or Valve puts out. NFTs are never going to materialize into that sort of cross-ecosystem unified ownership because no large company benefits from honoring assets obtained in another company's ecosystem.
Seems there are 2 parts:

1. The business decision to go into the 'flipping homes' business.

2. The capabilities of the ML/AI to help optimize that business decision.

The post does a nice job outlining that #2 will have great variance across businesses, use cases, time, etc.

The biz decision is maybe more interesting and instructive. A wrong biz decision can doom the ML/AI out of the blocks - the ML/AI is often a tool to do a job, but there is a business decision to do the job to begin with.
The author and I seem to have a lot in common, in terms of what the interviewing experience has been like. They go on to say in this thread that they "Obviously" found gainful employment, and I'm happy they did, because it's only gotten worse. I was struggling with the exact same thing between 2016 and 2018, then gave up and eventually found something in late 2019, only to lose it again at the beginning of the pandemic. Since then, I haven't found something. It's just been an endless series of this kind of garbage. Reading this post reminds me of this current fucking week. The closest I've come so far is actually getting an offer from a company who contacted me through the Who's hiring thread. It was something like 5 interviews, and in retrospect they really didn't have their shit together, but they pulled out and cancelled their offer after I asked about how we should handle billing for any time I take off for any reason (so much for their liberal time-off policy), citing that they thought hiring a contractor in Canada was a liability (known up front). Still super salty, and fuck interviewing, god damn.
Yes absolutely. I’ve worked from chip design in vhdl to coding microservices and devops. It’s IMO all the same shit with different flavours.
Why would you say the 60s was a golden age of trading cards? The iconic cards were printed in the 50s (Boomers' childhood years). Prices didn't get crazy until the late 80s.
Is it even possible to predict things whose predictions influence the events that are supposed to be predicted?

Suppose you did have a perfect way to appraise houses by some arbitrary criteria. If the houses are "perfectly" appraised, that would change the values of the houses themselves, no?

e.g. magical system predicts 3b/2bath house should cost 500,000. People know the magical system's price is the perfect one. someone who has more money to burn can acknowledge this and still pay even more money, knowing most will not want to "overpay" for a house. house sells for 550,000. prediction is wrong in the end anyway.

schrodinger's predictor - it's accurate right until it's observed.
The problem isn't the browser, it's the web.
Clone of http://www.rosettacode.org/
Reddit I guess but you’ll have to comb through the hype
AppImageLauncher to Integrate AppImages in Your Linux Distro
This. I'm sure there are specific situations that I haven't conceived of, but in general I find it hard to believe that you can look at the data and conclude that the vaccine is more dangerous than the disease itself. Unless you are in some kind of a very high risk category for mRNA vaccines, the risk of serious side effects or death seems to be at least one order of magnitude less for the vaccine than for the virus itself.

I'm a bit uncomfortable with the overall authoritarian approach to public health in the West (see also: fluoride in water; harmless, but unnecessary and immoral). So I can sympathize with people who are uncomfortable with a vaccine mandates, particularly nowadays that the issue is politicized and is no longer "just" about public health.

But all that said, I suspect a lot of people who claim to have evaluated the risks are really just rationalizing an emotional decision.
There was a post on Blind a few days ago from somebody who works in Zillow, stating that management disregarded models and decided to go instead with "intuition"
Nice, I'd like to do this too. Which console would you recommend starting with? I'd love to see an old timey programming manual and emulators for that platform. I've heard good things about Nintendo consoles, but I don't know where to start.
It's difficult reading articles without any Headings!

Data mining is common in finance. Finance PhDs are constantly identifying new "factors" (e.g. value, momentum, price/book) based on historical data that don't pan out as time goes on. See here for some academic research: https://www.researchaffiliates.com/publications/articles/710...

Robert Shiller has does extensive research on how psychology impacts real estate prices. Monetary policy isn't standard right now. Machine learning isn't always a good tool for making predictions. Look at Shiller's interviews and surveys for predicting home prices. He doesn't use machine learning or advanced analytics.
For typical dev jobs, hardly anyone writes sorting/searching algorithms, or algorithms at all. In fact, if someone working on web/apps/database stuff is spending time on algorithms, they are doing it wrong. Algorithms are a sort of pleasant luxury for most devs.

Depending on details, it's similar to asking an author to recite, verbatim, Shakespeare verses and calling gotcha on every mistake.

There are situations where it is legitimate, but for app/web/db devs it's just a rigged trivia competition.
Personal example. I bought a condo in the University District in Seattle back in 2017. It's a 92-year-old, 478 sq ft condo. I paid $279,000 (yikes, I know)...Zillow's estimate? $500,000.

I have no idea how they were so far off. Even right now:

Zillow estimate: $479,100 - https://www.zillow.com/homedetails/905-NE-43rd-St-APT-212-Se...

Redfin: $307,337 - https://www.redfin.com/WA/Seattle/901-NE-43rd-St-98105/unit-...

Keep in mind that Zillow's HQ is also in Seattle. While we may be protective of the data scientists on HN, this is one case where I agree, there's something wrong with their models. The "similar recently sold" condos that Zillow shows are indeed $400K, but those are at most 50 years old and more square footage. I think a simple logistic regression of square footage and age would give a better prediction than whatever model they are using.
I totally agree, this is more of a case of simple over-confidence and exessive risk taking than lack of mathematical understanding. Regardless of the quality of the model you are using there are still countless other factors that may impact your prediction quality. To me, the only way to mitigate this is to take it slow and plan ways for failure correction. Zillow is an example of greed and impatiance winning over common sense and risk-mitigation.

If anything this could have been because of _too much_ higher level statistics and math, as those kinds of things can often shroud underlying problems.
> I’m interested in the tech/practical applications, as opposed to the hype/emotion.

https://www.wired.com/story/theres-no-good-reason-to-trust-b...

(Wired paywall can be circumvented with: https://github.com/iamadamdev/bypass-paywalls-chrome)
Those were the peak days for web browsers! I can't find a modern web browser that I think is actually great. I use a "least-bad" one instead.
Or at least adopt a semantic preference that informs the user as to what is happening, e.g. Python has .sorted() for for non-mutating method vs .sort() for mutating method.
There are a bunch of different approaches that other languages that take that make this unnecessary as well.

Some functional languages simply don't tend to use mutable objects with method/property syntax so you can just chain function calls to achieve the same result. (Also some languages have syntactic sugar to do the same thing for method calls)

VB.net (unpopular as it is) has "With" statements that allow you to simply avoid repeating the name of the object you are mutating with method calls/property assignments (this looks very similar to a "fluent api" but it's just a serious of normal property assignments with the object name omitted using a with statement):

With theCustomer
.Name = "Coho Vineyard"
.URL = "http://www.cohovineyard.com/"
.City = "Redmond"
End With
Ah yes, the classic position of all authoritarians: "My Way or the Highway!"

And what do you tell the minorities who view vaccination mandates as yet another example of government oppression, under which they've already suffered?
I share my shell scripts via Git

For example, https://gitlab.com/atsaloli/config-files/-/blob/master/scrip... lists AWS Support service codes, which are needed to open a support case via the Support API.
Yes. This is one of the fundamental teachings of economics. The ideal price is not knowable
Only if what you want to be is two floating eyes and two floating hands in a videogame.
Twitter is going to be the best resource to discover projects, and DYOR Wiki (https://dyor-crypto.fandom.com/) is really good to get plain english understanding and history of various projects. To understand technically, you'll need to read docs or code.
Yeah, agreed, but I think one of the highest differentiations for whether someone or something is intelligent is how it learns about new unseen concepts and can use intelligence to adapt to a completely new environment.

E.g. if that spider species was put to a completely different environment and during its lifetime it could learn to adapt to some new species mating ritual and fake out their female as well.

This would make me consider the title to be valid "spiders are much smarter than you think".
Predictions like this work on aggregates, not individual cases. There are also sellers who are in a hurry to move and will settle for $450,000. Magical system is wrong in both cases but right in the aggregate.
> What almost certainly happened was they validated their model extensively, but overlooked the angle relevant to this use case.

To me, this is a systemic organizational problem in ML, rather than a model problem. Or essentially, pre-Agile development all over again.

Stop me if this sequence sounds familiar: (1) attempt to capture all the details in a nuanced domain that's foreign to you, from people who are experts but not expert developers, (2) develop code from that spec, (3) deliver code to the experts as a black box that they can't opine on, (4) cross fingers and run in production.

Which isn't to say this is the way everyone does it, but is to say it will be the way the majority does it, just as the majority of development is still waterfall under the hood.

But the mismatch is a mismatch in understanding, not in correctness. The experts can't offer meaningful feedback to the technological black box, and developers don't have enough time to spec a lifetime of subject matter experience.
Changing a mini/micro/nano SIM, removing it from one phone to insert it in another one while driving would be IMHO the "essence" of distracted driving, BUT in this specific case it was an (automatic? or previous?) update, from the article:

>In this particular case, the phone had recently downloaded an update that included new baseband firmware. That was almost certainly the trigger for this message.

The "recently" is "vague" enough, as we don't know how much time passes after tyhe update for the SMS to be sent by the SIM, it could be milliseconds but as well several minutes or even hours.
For certain types of queries, Wolfram Alpha gives wonderful answers that are superior to almost every other general purpose search engine:

distance to the moon

https://www.wolframalpha.com/input/?i=distance+to+the+moon

W.A. shows the actual current distance to the moon (as of right now, 224,520 miles). Google shows this as 238,900 miles, presumably an average value, but it has no explanation at all of what the number is. W.A. also includes a graph showing the variance. And a lot of other info.
What stops me from minting an NFT that says I own anything I want? If platforms are only honoring NFTs minted by other platforms then they might as well just share that information in a database.
I too am tired of the greed.
HN has a hateboner for cryptos, which most of the time is based on purely illogical assumptions of tech they have no understanding of.

Reddit is fine, but it heavily depends on what you want. r/ethdev is good if you're interested in creating something, and r/ethfinance for quality discussion focused on what you can do on Ethereum.
Having had a chance to reflect. I mean subsistence living.

Essentially what monbiot is advocating a return to.

Where ever you see subsistence you see all sorts of environmental catastrophes. Poverty is the cause of most of these problems not the solution as Monbiot thinks.
Events, Flows and Long-Running Services (2017)
I had to do the exact same thing once -- the mother ran off as I tried to gather her and the sac into a box -- and you could see both the panic as she watched the sac being taken away, and the relief when she was reunited.
Feels like Wikipedia for algorithms.
I love this kind of blog posts because not only they present different ways of doing things and a fairly sane discussion about it, but also showing the author learning from experience and telling about it.

Young people are very creative (mostly between ages of 15 and 25) and that creates new ideas. Experienced people test the new ideas and draw conclusions. We need both to progress, the first should be as creative as possible and the later as analytical thinking as possible. It is the innovation pipeline, the first throw the ideas, the others refine, filter and select.
Honestly, most of us are on Twitter right now, that's the best place to see discussions at the moment. I try to optimize for higher signal rather than hype, feel free to look at who I follow and build out from there: https://twitter.com/the_carlosdp/following .

HN isn't going to be that venue at the moment, seems pretty hostile to web3/crypto. That'll change eventually, but for now you gotta look elsewhere.
One thing that I feel this article misses is the notion of domain expertise. Zillow has entered the house flipping market that has been already populated by human real estate agents and investors, who already do their work of pricing houses and striking deals quite well. To compete, a successful entrant needs to excel in at least one thing and be not much worse in all the others. In practice, that is a tall order.
I hear so many complaints from my Mac and Windows-using colleagues that just don't happen to me on Linux. It really feels like the tables have turned.

The Windows users bend over backwards just to use Linux (WSL) where the only Windows apps running are Google Chrome and VSCode (which also support Linux natively so ??).

The Mac folks struggle with performance because of Docker using a VM with poor filesystem sync performance. Again, busting their backs just to use Linux. And it's worse now that they're using these M1 chips that segfault when our app uses FFI. These folks don't even like or use xcode or any mac-only software.

I'm still a bit biased in that I know how to set up a good Linux machine and others might still struggle with that. But it really looks like they're already struggling.
100%. I have a friend who calls it the “country club phenomenon” — many foreigners come to Japan to relax, enjoy the “incredible level of service” in Japan, and opt-out of the work culture (which is a combination of both time and effort — there’s more to it than the infamous presenteeism). The so-called “expats” posted here by foreign employers are particularly infamous for this sort of thing, just as it is in so many other non-Western countries.
Vitamins are catalysts of chemical reactions. When you speed up reactions dependent on, say, B1 - you should also be sure that adjacent reactions are fastened up. Otherwise, this may cause an imbalance which can be disastrous or even fatal.

The same rule goes to minerals - when you take vitamins, the reaction speeds increase and they start to consume significantly more substrates causing electrolyte disbalances, which can be disastrous and even fatal. That's why you have to make sure that you take enough of Mg, K, P when you get vitamins as well.
>a friend

uh huh! :)