skysight-inc/HackerNews huggingface dataset:
> Is anyone aware of why those decisions not to adopt IPv6 were made?

Because they have all the IPv4 address they need and so do not see a shortage, unlike those that are not mega-corps and are struggling:

> I work for a Native American tribe in the PNW. We scrambled to get the reservation reliable internet in the later part of 2019. We managed to cover most of the reservation with wi-max and wifi with a fiber back haul configuration. We are now slowly getting more stable and reliable fiber to the home(FttH) service installed to as many homes as we can, but it is slow process covering the mostly rural landscape doing all the work in house.

[…]

> We learned a very expensive lesson. 71% of the IPv4 traffic we were supporting was from ROKU devices. 9% coming from DishNetwork & DirectTV satellite tuners, 11% from HomeSecurity cameras and systems, and remaining 9% we replaced extremely outdated Point of Sale(POS) equipment. So we cut ROKU some slack three years ago by spending a little over $300k just to support their devices.

* https://community.roku.com/t5/Features-settings-updates/It-s...

* https://news.ycombinator.com/item?id=35047624

Anyone who (a) got in early on the IPv4 address land grab, or (b) has buckets of cash, can 'safely' ignore IPv6.
wow this is huge

"Russia-Ukraine War First, we use Apple’s WPS to ana-
lyze device movements into and out of Ukraine and Russia,
gaining insights into their ongoing war that, to the best of
our knowledge, have yet to be made public. We find what
appear to be personal devices being brought by military
personnel into war zones, exposing pre-deployment sites and
military positions. Our results also show individuals who
have left Ukraine to a wide range of countries, validating
public reports of where Ukrainian refugees have resettled."
It's much older than that. https://english.stackexchange.com/questions/25205/what-is-th...
That's true. Property tax can help, but at some other level of over-supply, it doesn't even matter what the property taxes are. Once there is far too much supply (perhaps to the extent that it would be a bubble), pumping millions of dollars into housing that will sit empty or rent at a low yield will not be a good use of capital.
Vagrant + VirtualBox + Ansible user. No Docker (I can't justify the time it would cost me to migrate).

Does this replace Vagrant, VirtualBox, or something else, and I have the wrong paradigm?
Or they could be ignored so that the users drag their IT kicking and screaming into the 21st century once an important enough site necessitates it. Corporate users usually have more direct influence on their IT than ISP customers.

https://blog.chriszacharias.com/a-conspiracy-to-kill-ie6
Who cares when Sass works so well and this is just a subset of what sass does.

Maybe in 10 years time we’ll finally get to what sass can already do today.
Putting the year first makes it unambiguous. Some places do month-day-year, and other places do day-month-year, so any date up to the 12th of the month can be confused. But if the year comes first then it's always year-month-day.

Also, a 4-digit year is important here.
Noninvasive ultrasonic neurostimulation for high-quality vision restoration
I'd flip that to you as well - there's literally nothing that doomers can hear that will change their mind that maybe we're not heading for a catastrophe. Of course, it's a real problem, but there are real solutions that are being worked on and rolled out.

- There's more ice in Antarctica now than there was 40 years ago [1]

- Antarctic ice has increased by 1% per decade since the satellite era (1979) [2]

- New record earliest winter in Antarctica was last year [3]

- Coldest 6 months in Antarctica ever recorded was 3 years ago [4]

- If you expand your reference window before 1979, Antarctic ice has been through far wilder swings [5]

But maybe I'm living in a fantasy world where hard data and scientific observations don't matter - please do explain the mechanism that I'm missing.

[1] https://eos.org/science-updates/new-perspectives-on-the-enig...
[2] https://earthobservatory.nasa.gov/world-of-change/sea-ice-an...
[3] https://www.weatherandradar.co.uk/weather-news/winter-is-jus...
[4] https://www.cnn.com/2021/10/09/weather/weather-record-cold-a...
[5] https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/201...
Automated updates are easier now, at least with well tested plugins and themes.
>These LLMs are being trained on data sets with bad results and bad code with no real way to tell the difference.

No shit. I lost it when Google AI started recommending people to refill their blinker fluid, which is a meme that's sarcastically been parroted all over the internet for decades but Google's AI took it as serious gospel in their training dataset.

The fact of the matter is these are just LLMs, not AI, they're only as good as their dataset. And since the entire internet is their dataset, along with all the human trolling, sarcasm and shitposting, and without any logic or intuition to distinguish what is sarcasm and what is not, their answers are gonna be questionably acurate a lot of the times when it comes to generic info that every average joe can have an opinion on.

There's no actual intelligence there to call it an AI, it's just a summary of the entire internet, which is definitely useful for some task, but not at replacing human tasks.

I saw some people on HN defended Google AI's shitty answers as being very useful for humor and not for real answers, but then that would be the world's most expensive joke machine for a company who's main business is search and thrived as the go-to for web answers. You don't need to delegate 3% of the world's energy, or whatever it is, towards generating only wrong answers that sound funny.
> I read a book he wrote about his experience in the design of the IBM 370 on a chip.

https://archive.org/download/tredennick-microprocessor-logic...
> Problem with America is that we think this is 1950 and we can scale by building more deadass suburbs, expensive regional highways, and further strain our limited pool of resources (water, sewage, electrical infra) to support suburban living without any consequences.

That doesn’t explain why it’s so hard and expensive to build things. We built those suburbs in the first place when we were much less rich as an economy. Indeed, we built all the water and sewage and electrical infrastructure all over the place too.
SWE-Agent: Agent-Computer Interfaces Enable Automated Software Engineering
If i have to do it more than twice, its being automated.
It's bizarre to call this "transparent", given that it highly distorts light, even if it technically allows most of it through. It's actually a translucent material.

This also makes it horrible for windows, since people expect to actually see out of a window, we don't use windows just as sources of natural light.
Once a day? That’s huge. What sites? (I use Firefox daily for about the last year and haven’t had this kind of issue)
But I don't want tricks. I want to know that it knows so I don't have to continually guess whether it's right or not.
Your data access patterns are fast enough in NVME. You own me $10,000 for saving you $250,000 (in ram).

The value of our data skills are getting eroded!
But people per household has plummeted. Going from 6 to 4 to 2, see page 9. Combined with population pyramid flattening out, that is a lot of increase in demand for housing, until the population pyramid is upside down and more people are dying rather than being added to demand for housing.

https://genus.springeropen.com/counter/pdf/10.1186/s41118-02...
What's New in C# 13: Enhanced Params, Performance Boosts, New Extension Types
Some malicious folks concerned about stability of their work may decide to poison training data... not an easy task for sure, but not entirely impossible in their niche area of expertise.

Like literally all powerful tools in the past, ai abuse will come from various directions for various unexpected reasons.
The obscure federal intelligence bureau that got Vietnam, Iraq and Ukraine right
Openreview is nice. I guess it could integrate with arxiv to allow preprints but someone needs to pay for moderation if we are to keep a high standard of comments.
“Models trained on human data can’t outperform the base error rate in that data.”

That doesn’t seem inherently/unavoidably true. Surely a human could read a bunch of SO answers, try them, and thereby outperform the base error rate of the answers.

I don’t see it as impossible for an AI model to exist that does the same.
I think I've said this before on this forum, but it bears repeating: if there's one thing that I'll never forget from my Industrial Engineering degree is that all processes can be designed around long waits, but it's the variance that kills you.
Check out the book From Strength To Strength by Arthur Brooks. It’s a bit of a mid-life crisis book that addresses this. In short: develop hobbies, invest in friends/community, explore spiritually.
Having read that, I think the linked article is using "transparent" in a way that the original article never did, which is the cause of so many commenters' confusion.

The article never says the film is more transparent than glass. It says

> The average global transmittance of the PMMM in the sunlight spectrum range is 95%, surpassing that of glass (91%). This is because the incident rays reflected at the micro-pyramid’s surfaces can be redirected to the PMMM

My understanding (someone correct me if I'm wrong) is that this film cuts down on reflected glare, and redirects that light downward, so more light ends up going through the glass.

This makes the glass more translucent, which is the ability to pass through light, but not more transparent which I understand to be the ability to see clearly through glass.
Authentication is often the first thing I want to break out of the application and backend anyway. Good password hashing is expensive... Why should an entire application have to go down when your login is being DDoSed?

More so, A revocation list on something like Redis can expire with a token and a lot less expensive than an rdbms lookup with joins.

Not too mention, why add extra load with extra DB calls in the first place?

You don't have to be Google scale to want to separate logins from the main service. And that's just for starters.
DNSSEC is a complicated kitchen sink that doesn't do the fundamentals (encrypt DNS traffic). It is also very black-box with the current tooling (not by design, but by implementation) which makes deployment perilous and confusing.

It's really a PKI infrastructure masquerading as a secure DNS system.

There's value in a PKI infrastructure for domain names, but it probably won't look exactly like DNSSEC. And there's value in encrypting DNS, but that is definitely not DNSSEC. I helped invent and deploy DNSCrypt which is strong encrypted DNS, but doesn't provide the PKI components. There are plenty of ways to do that part, however, that would be much lighter in weight than DNSSEC.

I'm not motivated to do it now with my current day job (American Dynamism) but someone out there could.
Fascinating story! I’d love something like this with PDF integration (a file format that has become deeply embedded within all aspects of legal practice).
> Ask yourself, do Canada, Australia, New Zealand, the US, Britain, Ireland, etc, all have the same inability to build or is there maybe some other common cause?

In the UK, we have an issue with immigration that nobody wants to speak about. The birth rate in the UK is 1.49 in 2022 [1], meaning that housing demand should be going down. We build houses to last, and yet there is a massive shortage - why? In 2023 the ONS reported we had a net migration of 685k people [2], where 9% of the population do not have a British nationality at all.

The demand for housing in the UK (and related infrastructure) can be entirely explained by net migration. The reason the housing market is bubbling is because the demand is so insanely high. We need to build 340k houses a year to keep up with demand [3].

The fundamental issue in the UK is that we borrowed too much from the future, in terms of loans, but also pensions. They think that increasing the population dramatically will solve the problem, but it's actually destroying the UK. We are building on farmland, the infrastructure (water, gas, electric, roads, schools, etc, etc) is failing under the weight of the new housing. The interest on the debt owed [5] I believe is projected to exceed spending on the NHS (national healthcare system) by 2035.

The question we need to ask is whether large net migration is worth it, or whether we should largely reduce it. It seems clear to me that the UK is currently trying to grow too fast. It'll be a bitter pill to swallow, but at some point you need to deal with the spiralling situation.

> This is a problem of underutilisation in my view. Too many properties are being used as investments and not as a primary residence.

In NZ and many other Countries they put bans on foreign buyers exactly to stop this investment [4]. I know many, many professionals living in NZ that cannot afford to buy a home. They are all stuck renting, despite all earning in the top 25%.

[1] https://www.theguardian.com/uk-news/2024/feb/23/birthrate-in...

[2] https://commonslibrary.parliament.uk/research-briefings/sn06...

[3] https://commonslibrary.parliament.uk/research-briefings/cbp-...

[4] https://www.pittandmoore.co.nz/publications/foreign-buyer-ba...

[5] https://www.bbc.co.uk/news/business-50504151
(author) This one has actually been in my collection for around a decade and is not a recent acquisition. I've just started playing with it more and figured I needed to shore it up to keep it going.
Comparing Node.js and Python Performance with the Official OpenAI Client
I conducted a performance comparison between Node.js and Python using the official OpenAI client, and the results were quite revealing. Node.js outperformes Python in this specific use case.
Hangar Queen.... Not hangar baby... Ugh
It doesn't matter how good the artist thinks his painting is if others think that anyone can do it better, cheaper and faster with the help of Artificial Intelligence.
At the end the developers will have to find a profession that will feed'em because the industry considers creating software isn't a high valuable asset of their programmers anymore.
Transmittance or translucency would be a better choice of words.
I made no value judgment about Republicans. That was your projection. The primary cause of border issues is dysfunction in the Senate that prevents asylum laws from being improved.
https://inventwithpython.com/pygame/

I started with python’s own IDE and a few practical books. It was enough to get me started on programming. A beginner book and a python installation is all that’s required. An interesting (to her) project may be needed for motivation.
Under utilization can be measured as a factor of the vacancy rate; which influences both home pricing and rental pricing.

Here in Canada, the desirable places to live all have relatively low vacancy rates for residential housing, and have for quite some time. Ie, it's rare to see cities with vacancy rates for apartments exceeding 3%, let alone a healthy 5%.[0] The CMHC estimates that by 2030 we will need 3.5M additional homes beyond the expected number to be produced.[1] The PBO has come up with similar numbers; roughly speaking, Canada needs to complete a new home every 50 seconds just to maintain current price levels.

There's much gnashing of teeth up here over our housing crisis, and it's clear to me that it's a multi-factor concern[2]. While there simply exists much more demand than the supply can service, the reasons for low supply are many and complicated. There are the obvious zoning and infrastructure issues; we don't build for mid and high density nearly enough, and we rely too heavily on cars. There's the labour supply issue the politicians focus on. But most unnerving, to me, is the suggestion that we simply do not have the capacity to produce or source the raw materials necessary in construction.

0: https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=341001...

1: https://www.cmhc-schl.gc.ca/blog/2023/estimating-how-much-ho...

2: https://thoughtleadership.rbc.com/the-great-rebuild-seven-wa...
Yes, that is true. I should have been more clear, sorry.
At least in Germany most private solar systems cannot be remote controlled yet so it's harder to actively steer the generation.
That is different with wind turbines.
Show HN: I made a website that generates mosaics of your top Spotify songs
I can't get any of that to my house. Comcast doesn't support BGP advertising a custom /48, and I can't even get one in the first place unless I'm dual-homed. The product you linked to has no details but it seems like you can get a /48 for their services, ie. if they're hosting my machines, they'll give me a /48. That doesn't help me.
Interesting. I don't know, but I see a correlation. As stated in the article, all of the children have few things in common: started talking early.

If one starts to "talk", it's not gibberish coming out of one's mouth. It's words alongsided into proper grammar sentences. For being able to let the word coming out, one must know the word(s), the pronunciation and the meaning. So, it's not only crucial to know that word for being able to speak. If a toddlers brain doesn't know that word, it will come out as gibberish or is used/pronounced in false manner. One can't produce sounds without "consciously" activating the proper face' muscles (that's why the first words are mama or baba. Just the ones where you can open and close the lips and exhaust air)

Taking into account, speaking needs some kind of learning and understanding of the words and their meaning. This kids started to speak early. This means, they started to learn early. Much earlier than they start to produce proper sentences or even be able to control the face' muscles. That gives a chance that some situation occurred much longer before abilities of articulation. Without no one noticing, this kids may overhear or oversee a movie. A radio talk. Some movie advertisement on TV, while being breastfed. Etc. So they hear it and rebuild it at some time in their imagination later, and use it when they have the abilities.

I can imagine a situation where the TV was showing some movie and the baby was hearing And may be watching it, while being thought of like "6 months, it's still a non-brain. It's a baby." But, unknowingly, with much further developed brain in reality. To check that, I just googled "Nina movie jewish kid" and Google returned me quite a few results, that could fit.
Nina's house, a French movie, with kids hiding out in an House, and, of course, fearing the bad guys will come to get them.

Also, the story of the actor and the information about Ryan. Just take some peek into the world wide net. I bet, there's some documentary about that actor guy.

Also, why is it an actor. Why is it Nina, some one from the dark time? Why not a person of less public visibility or a story that isn't filmed or documented?

So early starters start to do everything earlier. Also they start to early see (? actually not possible?) and hear (if the brain is capable, hearing is from the beginning "on" with all mammals)

And also, that such things vanish after the toddlers started school.. it's rather the infantile amnesia, that let the memories vanish and it's more than common with us humans.

So, I just think it's related to what the kids see and hear. Some see and hear and speak later, when they develop the muscle control and speaking. Others start earlier, but without being able to show it. The brains are much more developed in comparison to other toddlers of same age.
Because a human can comprehend, and an LLM cannot.
Have you seen http://www.flow-storm.org/. It does time travel debugging for Clojure and has a bunch of features.
Thank you, that's a good summary of the article!

Even faster startup times can be achieved by so-called in-place interpreters that do not even translate the Wasm binary at all and instead directly execute it without adjustments. Obviously this is slower at execution compared to re-writing interpreters.

Examples for Wasm in-place interpreters are toywasm (https://github.com/yamt/toywasm) or WAMR's classic interpreter.
Greenhouses frequently get so hot they need to open their windows. I imagine that there is a sweet spot where a little less heating is worth it for the additional light hitting the leaves. It may be climate and season dependent.
TL;DR Google lies about how its search algorithm works.
> My cats don't need "general patterns" to form deductions, they deduce many sophisticated things (on their terms) with n=1 data points.

No they don't. That's just generalization, so they've seen plenty of other data points that are similar enough.
> If a short session time isnt good enough, you can use a simple key store to check for revoked tokens.

It's not bad solution per se, but it does negate JWT's main value proposition, which is to not need such a store.
Right, my question is more about how the average person can actually use that leverage. So you've got $80k in leverage, it grows (presumably), but how do you actually use it?

You have to sell the house, right? So you can only cash in on that leverage when you reverse mortgage or otherwise downsize, right?
I think it could be used for skylights in houses, but also commercial buildings. I've been in a few grocery stores where they use skylights to provide natural light but people aren't really worried about seeing the clouds and sky in a grocery store. It could be a good option there.
> Only an import statement is missing from both examples.

import { S3Client, PutObjectCommand } from '@aws-sdk/client-s3';

Really? C'mon. It's YOUR examples on YOUR site.

Regardless, that's not even what I'm worried about.

The part where you need a key for this service and don't need any of that for S3.

Sorry, but now that means I have to handle credentials with this service, which is something I like to avoid as much as possible.

Let's put it this way.

I can spin up an AWS instance right now and do

await s3lib.set('image.png');

and it works.

But if I do:

await f0.set('image.png');

I also need to find a way to properly handle this extra token.

And my issue with that is this:

const s3 = new S3Client({
region: region,
credentials: {
accessKeyId: accessKeyId,
secretAccessKey: secretAccessKey
}
});

You don't need that.

But here is the fun part. Here is the AWS code you need to upload a file and have it available.

await s3.send(new PutObjectCommand({Bucket: 'my-bucket',Key: 'image.png',Body: myFile}));

And that's it. Full stop. No key to muck about with.

versus

await f0.set('image.png', myFile);

But..., you also need to set the key, so....

SOME_ENV_VAR_FOR_YOUR_SERVICE=howeverlongthisisyouneedtomakesureitgoessomewhere node app.js

And, honestly, we know that's not even the same thing as what I have up there for AWS.

Or...

const f0 = new File0({secretKey="howeverlongthisisyouneedtomakesureitgoessomewhere"})
await f0.set('image.png', myFile);

Or...

const config = {
secretKey: "howeverlongthisisyouneedtomakesureitgoessomewhere"
};
const f0 = new File0();
await f0.set('image.png', myFile);
await f0.publish('image.png');

Listen, whatever. I'm tired of people being deceptive to try and sell products to programmers. I get it. You are after the lowest common denominator. Someone who actually doesn't know AWS, S3, or anything about Roles. Someone who could set that up in minutes. Fine, I get it. Convenience is real. Just own up to the fact that your examples are purposely bloated on one end and shamelessly thinned on the other end.

You literally add extra stuff on the AWS side and remove needed stuff on your side. To me, that's a lie.
Do Ten Times as Much
Most air conditioning systems don't provide fresh air. They just cool the air already in the room/building.
This is not related to the article, but as a multi startup CTO/CPO, how do you explain it to yourself when one or more of your companies fail when you know that, by working in multi startups, your attention and resources were divided?