skysight-inc/HackerNews huggingface dataset:
> Israel not only pushed them into the middle of a war that is not their war, without their consent or knowledge;

Weren’t they already selling pagers to Hezbollah? It seems like they were already in the war as a supplier of goods to a terrorist organization.

I wonder if this is why Israel made this move because the manufacturer was already breaking international sanction by supplying Hezbollah so they have little recourse.

If I was the CEO of Gold Apollo, I’d be investigating why my franchisee was selling stuff to Hezbollah in the first place.

But it’s beepers and only 5,000. How expensive is this at the end of the day? It’s probably the last time a company lends then brand name for a small amount.
> Average Germans don't have much wealth since a lot of the population rents instead of owning their own homes so a lot of their wage growth just gets captured by the landlord class.

If the landlords are Germans themselves, it should move the median (more inequalities), but it doesn't explain low average.
I appreciate the double meaning of the name "Comic Code"! Well played!

https://en.wikipedia.org/wiki/Comics_Code_Authority
The problem with "taxing the rich". If we're talking Bezos, Musk and Gates, that's 3 people. To have any decent amount of extra income for states, they must tax "the 1%", and really "the 10%".

And if we're then talking about amounts, everybody will immediately, and rightly, claim that "the 1%" is not a livable wage in X. And they're right. You cannot live in Amsterdam on 66000 EUR per year. I mean, it's probably possible, with a great many compromises, but not really.

The problem is:

"the 1%" in Europe (EU-27): anything more than 66000 EUR

"the 10%" in Europe (EU-27): anything more than 34000 EUR

I think these figures are not talking about individual income, but about FAMILY income (both partners). It's EU-27 because it used to be EU-28, and then Brits decided ...

So, in the Netherlands, I believe that means more than 80% of the population is in "the 10%" of Europe and almost 60% of the population is in "the 1%" of Europe. I doubt even Dutch communists would support this tax.
IIRC The M series chip isn’t specifically optimized for ML workloads, the biggest gain it has is having unified video and cpu memory as transferring layers between the two is a big bottleneck on non Apple systems.

Real ML hardware (like the Nvidia H1000s) that can handle the kind of inference traffic you see in production get hot and use quite a bit of energy, especially when they run at full blast 24/7
Show HN: An iOS app to make SwiftUI apps with AI prompts
The idea sparkled out frustration with the broken discovery on the App Store, I thought being able to generate simple apps out of simple prompts could spare me the painful search next time. ^^'

Generated app are rendered with Swift UI, there's a scripting sandbox to interpret generated code.

I started to work on this about a week ago, the app only knows about texts, text fields, buttons, sliders and stacks so far. The plan is to support more UI components and services (Camera, Data storage, External connectivity...).

It's pretty fun to use already, I think I'll open a TestFlight.
WhatsApp was the one I tested it on
Enshittification is accelerating. A good 70% of my Facebook feed is now obviously AI generated images with AI generated text blurbs that have nothing to do with the accompanying images likely posted by overseas bot farms. I'm also noticing more and more "books" on Amazon that are clearly AI generated and self published.
This anandtech article seems to be a decent summary of what it's doing, the JEDEC JESD82-531A.01 spec is also freely available (with registration) if you're feeling adventurous

https://www.anandtech.com/show/21455/making-desktop-ddr5-eve...
Law enforcement agencies undermine Tor anonymisation
A thousand times? I’d have a hard time typing out that many queries in 8 hours. Even 100 seems like a stretch for someone who uses it within something like cursor.
Another corollary is that AI companies don’t train one model at a time. Typical engineers will have maybe 5-10 models training at once. Large hyperparameter grid searches might have hundreds or thousands. Most of these will turn out to be duds. Only one model gets released, and that one’s energy efficiency is what’s reported.
Water. Does. Not. Disappear.

The water circulates through a cooling system. It soaks up heat from the servers and goes outside and cools down, then goes back again. You are not "using up" the water. This is article is nonsense.
> If you look at forums / SO it's obvious people are confused about what it tries to achieve.

Well, many people are confused about how DNS resolving works. Many of do not consider a problem, when they configure their resolv.conf to two different upstreams, each returning different answers (i.e. one responding for domains that the other doesn't) and then wondering, why stuff is broken.
AI companies are indeed hiring such people to generate customized training data for them.
Sure, it has nothing to do with systemd. The vibes are extremely similar though. "We don't care what you think we are kids with a new toy and we will shove it down your throat no matter what" kind of thing.

(I hate NetworkManager just like I hate netplan though. Both can get off my lawn.)
Brands died as anything reliable from the consumer perspective when the Chinese bought all the dying brands in the 2000s.

The only cheap goods with maintained brands are things like McDonald's which have recurring relationship with consumers.
Not all 30M of graduates attempt to get to these schools, so the ratio will be much lower.

We have a similar process in France for specific elite schools where French students go through a 2-stage exam system (first you need to get to a preparatory school, then there is a national exam). The work during these two preparation years is insane and the entrance ratio is about 3% (depends on the school).

This system is completely surreal (though the ones who go through it often like it) and different from other European systems.

As a side note, it is much easier to get to the school if you are not French, which did not help in some students relations.
I keep getting:

>Sorry, STORM cannot follow arbitrary instruction. Please input a topic you want to learn about. (Our input filtering uses OpenAI GPT-3.5, which may result in false positives. We apologize for any inconvenience.)
If the pinned cert is stored on some kind of ROM chip you could probably rewrite it to replace it with your own cert.
I have been writing Java for a living for about 13 years. Prior to that I was doing C++.

If you have no case to use Java, use something else that takes your fancy. Java's strengths are not for the casual user. If you want a fun language to learn and do smaller projects, there are better choices.

If you want to run a company with a serious server side architecture, Java is a great choice.

I will repeat a previous post of mine for why. Java is a straight forward language with fewer gotchas than some others (but definitely not none). In our monorepo we have code that does not care terribly much about latency or garbage, while other code that cares very much about latency and garbage. Our hotpath is GC free and the code is written with this in mind. Yes, it is a slightly different style of code, but it is still Java and our developers don't have a lot of trouble jumping from one area of the codebase to another. That means we share many of the same abstractions, the same build, the same monitoring, the same deployments (sort of), and many other things and we only ever have to hire good Java developers. We can write very different styles of application, in the same codebase, very easily.

These days, garbage is also mostly a non-issue if you've got any sort of awareness and competence. With ZGC or other choices, even if your app generates a lot of garbage, you can still achieve very high performance. Again, to repeat, this means you can write code without caring _all that much_ if you're happy with "good enough". And you can tweak it later because there are just so many good tools for performing runtime analysis. And if you do care massively about performance, Java has it. It is possible to write Java code that will come close to C or C++ performance, and you don't need another language, build system, etc to achieve it.

That alone is probably the biggest selling point to larger firms in this space.

And on top of that, in my industry (finance), Java is quite ubiquitous, which means portable skills. It's attractive to developers because they're not risking a dead end skill. They know Java is everywhere in the industry, they're transferable, and finding talent isn't an impossible task. This is self reinforcing, meaning the choice of Java is as strong as ever.

Oh and modern Java is much nicer to work with than old school Java, and becoming better. We're very confident with our choice and we can see a good future ahead for the language.
1kj is nothing. That's 0.3wh, or 0.0003kwh.
Saying it won't make it real. It's a myth, it's been debunked several times. The myth persists.
As someone who uses Python, R, Go, Rust, Fortran, and Java...

I would never write a full stack application in R. Terrible maintainability.
KOSA Is Being Marked Up Today While Meta Tries to Show That It Can Self-Regulate
Xenobots: Cellular platform for development of synthetic living machines (2021)
3 Kids, 3 cesium clocks, a family road trip to measure time dilation (2006)
This approach isn't working, has demonstrably failed. Do you actually care about fixing any problems or just happy to shame people you see as less than you?
No, disabling, or at works masking is enough.

`nameserver 1.1.1.1` is insane. Hope you don't ever have to use link-specific resolver.
Bright unintended electromagnetic radiation from Starlink satellites
I am building something similar to Grammarly as a personal project but quickly realized how hard it is to get data in 2024. Contemplating whether I should just resort to pirated data which is just sad.
Repeating my main point from last time (full comment at https://news.ycombinator.com/item?id=41543176):

One thing that annoys me about the coverage is that it seems unaware of clear misrepresentations made by the CoC Work Group and the Steering Council related to this affair. In particular, they have repeatedly falsely insinuated that individuals like Peters and myself have tried to determine the identity of accusers or expected them to explain those accusations concretely. This is simply false. What I would appreciate, however, is for the CoC Work Group to explain properly how any person could in principle object to certain of the "examples that attempt to summarize an overall communication style that pushed boundaries too far", or what those supposed "boundaries" are or why they should exist, or indeed how any of that could possibly have "caused harm to multiple people in our community".

Another key issue is that they mischaracterized complaints by, or on behalf of, neurodivergent individuals, as petitioning for said community members to be treated more leniently or with some other kind of favouritism. This, too, is not true. The goal, instead, was to get them to understand that neurodivergent people - more or less by definition - cannot be expected to infer the standards of behaviour that they're refusing to lay out explicitly, and do not see how the supposedly problematic conduct could be judged as violating the Code of Conduct as written.
yes, and full name of coreutils is GNU coreutils.
FOSDEM 2025 will be on February 1st and 2nd
Curious to see when the US will force the TSMC to sell because it presents a national security threat.
The Domination Tour – The American Prospect
There are already several companies doing this - I do occasional contract work for a couple -, and paying rates sometimes well above what an average earning writer can expect elsewhere. However, the vast majority of writers have never been able to make a living from their writing. The threshold to write is too love, too many people love it, and most people read very little.
I'm optimistic that hallucination rates will go down quite a bit again with the next gen of models (gpt5 / claude 4 / gemini 2 / llama 4).

I've noticed that the hallucination rate of newer more SOTA models is much lower.

3.5 sonnet hallucinates less than gpt 4 which hallucinates less than gpt 3.5 which hallucinates less than llama 70b which hallucinates less than gpt 3.
Subtle differences are not that easy to compare. You would have to test reading and comprehension speed and also while skimming and searching information.

If some font, color, or UI feature provides 1-5% improvement, it's huge because it accumulates over long term, but it's hard to notice immediately.
What I meant is that if you have a larger project with hundreds of files, every top-level component in every file is globally available, which is a problem.
Am very aware how Microsoft works, been involved with them my entire life, wrote a few books, etc! I agree with you though. That's why I don't record YouTube videos asserting what happened 25 years ago.
Did we (the humans) somehow managed to pollute the internet so much with AI that's it's now barely usable ?

In my opinion the internet can be considered as the equivalent of a natural environment like the earth. it's a space where people share, meet, talk, etc.

I find it astonishing that after polluting our natural environment we know polluted the internet.
Large plasma bubble over the pyramids in Giza detected
I wasn't thinking granular control. It could work exactly like the existing preference with users picking a preferred font. That font is always set as the highest priority font and used for any characters it supports, but the page's custom fonts are still fallbacks and kept in the font stack for any characters missing from the user font.

This would be helpful for icon fonts, but also for user preferred fonts that don't cover all language character sets.
With reports like this discussing training cost, is the usage reported per-model? Or is it aggregated across the entire creative model development/exploration process?

At the risk of doing original research, one thing I don’t see a lot of discussion on is that AI companies don’t train one model at a time. Typical engineers will have maybe 5-10 mid-size models training at once. Large automated hyperparameter grid searches might need ensembles of hundreds or thousands of training runs to compare loss curves etc... Most of these will turn out to be duds of course. Only one model gets released, and that one’s energy efficiency is (presumably) what’s reported.

So we might have to multiply the training numbers by the number of employees doing active research, times the number of models they like to keep in flight at any given time.
The /etc/resolv.conf system is woefully inadequate. It doesn't have a concept of per-interface customization so you can't customize according to the currently active network interface. It doesn't distinguish between DNS configuration delivered by the network administrator (which can and should be changed remotely) versus set by the computer administrator. It doesn't work very well with VPNs where a specific DNS server is used for resolving addresses on that VPN.
The only thing better than to attach your startup tech to either AI or blockchain, is to attach to BOTH simultaneously, like the wave of AI blockchain tokens!
I guess Michal hid this entry after I posted it a few days ago. See Rygian's (https://news.ycombinator.com/item?id=41578808) link if you are curious.

I would delete this if I still could.
SQLite: Past, Present, and Future (2022) [video]
That's a good question tbf.

Systemd as PID1 got its merits, hands down. Even coming from a person so destructive as LP, systemd as PID1 is still a good product.

Perhaps everything else is feature creep and architecture astronauts[0] type of things.

0 https://www.joelonsoftware.com/2001/04/21/dont-let-architect...
Overview: https://storm-project.stanford.edu/research/storm/
The fun thing is that while GPTs initially learned from humans (because ~100% of the content was human-generated), future humans will learn from GPTs, because almost all available content would be GPT-generated very soon.

This will surely affect how we speak. It's possible that human language evolution could come to a halt, stuck in time as AI datasets stop being updated.

In the worst case, we will see a global "model collapse" with human languages devolving along with AI's, if future AIs are trained on their own outputs...
I have one project using them, mainly because SVGs can be a bit of a pain to use in XSLT.

edit: it may not be SVGs themselves. The icons on that site are repeated and I would reach for an SVG sprite that can be reused, I ran into issues with that working cross browser in XSLT - Firefox was actually the problem if I'm not mistaken.
Common Core Is the Main Cause of Youth Mental Health Deterioration Since 2010
You are making excuses, Hamas is a fundamentalist group.

We can go back into history on who started the conflict, but even then I come back to the persecutions of Jews that fought for their independence and won. The result of that is the state of Israel. A democracy. Flawed, but in another league than comparable nations in that region.

A victory some are not ready to accept but they ultimately have to. Perhaps after they manage this first step there will be hope for a Palestinian state.

And yes, Israel did leave Gaza in 2005. That there were blockades was due to security concerns, which proved to be justified not only after the October attacks.

> Israel is a sick, apartheid regime that must be stopped.

This is a quote by you in another comment. Together with your excused for Hamas your arguments seem obsessive and misdirected.
House Looks to Make KOSA and Coppa Worse
There's a vibrant high-tech contract manufacturing segment of the economy, led by behemoths like Foxconn and several other Asian players who specialize in consumer electronics & computing gear (Compal, Pegatron, Quanta, etc). That doesn't mean manufacturing doesn't exist in the US, though, and there are still very large EMS firms with significant presence domestically, like Jabil, Flex, Celestica, Sanmina, and plenty of others. The difference between now and 25 years ago is that it hasn't been cost effective to manufacture high volume, low complexity electronics in the US for a full generation. But, the majoarity of high complexity, low volume (NPI, very large PCBs, PCBs with many complex layers) stuff is still made in the west, and there will always be meaningful demand for high tech manufacturing in regulated industries (defense, medical), too. For example, CGMs are made in Alabama & Ireland, avionics for Apache helicopters are made in Alabama, data center server racks for Meta are assembled in Finland, Germany & San Jose. Same for Netflix CDN racks.

It goes on and on. The majority of what has been outsourced to China (and Taiwan and Singapore and India and Vietnam) is the "face" of high tech electronics, and the majority of electronic piece parts components, but not final assembly and not much of the tricky stuff. I don't think we'll see a quick ramp of high-vol/low-mix mfg coming back anytime soon because too much of the supply chain is in Asia, but it could if there were sufficient demand.
What is the point of building a reputation if you can’t sell it later? /s
Pincone
Bookmark more than links. Collect, save, and organize your content — websites, newsletters, feeds, articles, and much more. All in one place.
Crypto bros wrested Flappy Bird from its creator
A few years ago I learned Python and RL by coding a high frequency trading agent for cryptocurrencies. In backtesting it was phenomenal. While executing though, trading fees, slippage and other factors negated all the advantages. It was quite disappointing, but I’m happy that it got me started on coding and AI.
https://pshapira.net/2024/03/31/delving-into-delve/ "Delving into “delve”"
Ask HN: How to roll out an internal UI component library
I will be taking on a project to build an internal UI component library at a company with around 100 developers. This is by no means the first time that the company has attempted to move teams to a common library. All previous attempts have failed and to me it looks mostly like challenges with communication, processes, priorities, etc.

I'm interested in hearing about experiences (good and bad) with all the above. How do you roll out a component library successfully? How do you get teams to use it? How do you get people excited instead of being a forced rewrite for them? When do you start getting teams on board? How do you set up processes for feedback?
Wow thank you for sharing this project. Definitely going to buy a copy.
You're arguing in such bad faith...

With your analogy it would be like emptying the mag in the general direction of the car of the target, praying the target actually is in the car and praying there is no one else anywhere close to him.
Challengers Are Coming for Nvidia's Crown
> Have you tried farming or even just growing something to eat in a pot?

Yes, and it’s extremely gratifying work. Much more so than sitting in front of a screen. And you can hold the result of your labor, see it, feed it to your family. It’s awesome. I wasn’t aware of how hurt I was by all my labor being abstracted away from me.

I still make my living as an information worker, but I’m actively weaning myself off the income. Less money, more happy.
> and thee cookie popups are the best way to do that.

No, the best way to do it is not invade people’s privacy. You can have ads without targeting (we did it forever before the internet) and you do not need cookie warnings if your cookies aren’t invasive.

https://commission.europa.eu/resources-partners/europa-web-g...

> The activity isn't illegal, and the EU didn't make it illegal.

Indeed that is a shame. If only.
> There will be a heavy correction in the market caps of companies that bet heavy on AI, as the promises don't live up to the hype.

This might be your point, but I think in most cases the disappointment will be entirely financial. Some, perhaps even most of the tools and products being developed are pretty cool, but in the majority of cases they're basically just AI wrappers or nice to haves.

It's like launching an email service or a website that tells you the current time in different countries in the late 90s or something. Email might be great, and your service might be really popular, but that doesn't mean there's any money to be made because anyone can implement POP3. Same with a website that tells you the current time in different countries – nifty tool, but not a real profit making business.
Have you ever read american history? Lol.
In Germany (>20 years ago) we learned to use {}.
Ideally, with systemd-resolved, you would have only 127.0.0.53 in your resolv.conf. (Anything that reads it directly is broken anyway).

Then you configure your DNS using NetworkManager, on respective connections. I.e. on your VPN, you configure the DNS on the other side of the connection, and (optionally) which zones it is supposed to resolve. (NetworkManager then configures systemd-resolved accordingly). The usage of this DNS then goes up and down together with your VPN connection. That's it.
It’s also helping children figure out who their bio dad is since most aren’t involved in their kids lives these days.
Love self-hosting and really got into it over the last couple of months. I run a bunch of services for my company now and also in my home lab. I use a Hetzner VPS and provision things either via ansible + docker compose files or via https://github.com/coollabsio/coolify/.

The awesome-selfhosted repository is also a great place to find projects to self-host but lacks some features for ease-of-use, which is why I've created a directory with some UX improvements on https://selfhostedworld.com. It has search, filters projects by stars, trending, date and also has a dark-mode.