skysight-inc/HackerNews huggingface dataset:
That isn't true. People made fun of software that showed ads. Exception was shareware, but it did that only for the software itself.

The braindead hordes accepting things they couldn't really understand did have a negative effect on overall quality.

Just before someone argues against the misanthropy in my comment, some of my most loved family members belong to the braindead horde. I love them, but their failure in education makes the landscape worse for everyone. And it is also very visible and not something imaginary.

Today we accept our OS spying on us, showing us ads, paternalizing its users with updates and the whole mobile catastrophe is a dilemma in itself. Smartphones are powerful devices but the software landscape disabled a whole dimension of software and is responsible for unnecessary waste.

Yes, it got worse on the software department. A few less driver issues because a lot of companies and hardware suppliers were consolidated is not a win.

And honestly, it isn't really hard to notice these changes at all.

Google is a good example. It didn't have better search, but its site wasn't plastered in ugly advertising from top to bottom. This was quite a factor in its success. Clean, fast, good. Not the nightmare it did on Android, where every app onboarding is a horror story in a thousand popups. There are profound differences in quality, intelligence and ability.
> In the end, we pre-installed it on every device we sold. Then we forcibly pushed it to every supported phone on our network. The backlash was incredible. As you might expect, people think of their phones as their own personal space. Having a new app shoved on there felt like an invasion. It took up memory space, true, but more importantly it took up psychological space. We had reminded customers that we thought of them as little more than cattle; a resource we controlled with an aim to extract value.

But what was the overall result of that decision? Did people put in the effort to remove it? Or did they come to use it? Did the mobile operator regret doing it?

Backlash is fleeting. How did the new app do?
Codeowners are added as a reviewer to every PR that touches a file under their (team) ownership. In a large codebase it can easily happen that a large % of PRs changes something you're a codeowner for.
He's probably talking about how on iPhones[1] and some Androids[2], you can do something called "wifi calling using cellular data" or "backup calling", which basically enables you to roam for "free" on your one SIM by using wifi-calling over the data connection of the second SIM. It only triggers if the first SIM doesn't have any reception, but there's workarounds for that, but in any case it's not as simple as installing an eSIM and getting free roaming.

[1] https://cdsassets.apple.com/live/7WUAS350/images/ios/ios-18-...

[2] https://lemmy.world/post/58708
I had a hard time continuing after the claim that microservices suddenly popped into existence in 2014 due to a blog post, with no mention that EJBs were the micro services of the late-90s/early-00s. I also truly appreciate Martin Fowler’s works, but he too frequently is given credit for things that he simply explained better. That isn’t to say he doesn’t deserve credit for furthering the popularization of certain practices, but people often get it confuse with being the originator of those ideas just because he was the first person they heard about them from.
Same, I have use enum strings for years and never had an issue.
https://youtu.be/_jEBh1VtdT0?si=6wv2yJdTC31L1QQP

I think this video might help
And I bet 6 out of those 9 times it is because enums are nominally typed when the rest of TS is structurally typed.
They released a bunch of different sized models and there are already quantized versions showing up on HF.

https://huggingface.co/unsloth/DeepSeek-R1-Distill-Llama-8B-... for example has versions that are 3GB, 4GB, 5GB, 8GB and 16GB.

That 3GB one might work on a CPU machine with 4GB of RAM.

To get good performance you'll want a GPU with that much free VRAM, or an Apple Silicon machine with that much RAM.
Truth is absolutely _not_ subjective.. a person is either alive or dead, the earth is either flat or not flat, e = mc2 is either true or false, .. I could go on.

Reminds me of a quote from 1984:
"In the end, the Party would announce that two and two made five, and you would have to believe it." [0]

[0] https://en.wikipedia.org/wiki/2_%2B_2_%3D_5
The application itself is content from the POV of the Constitution.

Universal City Studios v Corley
> If actual negotiation had to occur, it would not have happened in the twelve hours

A spur of the moment decision would be more like Trump than a lengthy negotiation.
Just because someone was "brought up as a Christian" doesn't mean they are one. And he WAS a terrorist or wannabe terrorist, as evidenced by everything said in that article. You're over here whining about Breitbart as your neighbors are being jailed for merely talking about these issues in a way that displeases your overlords.
Is the fact that the printer is slower the main reason why you get better results?
read the rest of the comment and the adjacent comments on CRT brightness
You're talking about intent, but I'm not sure I understand the relevance of intentions here. We're evaluating behavior, which remains the same irrespective of what intentions motivated it. I think it goes without saying that the Chinese government and the US government will invoke quite different rationalizations to explain their behavior, but I'm not sure that any rationalizations are sufficient to justify behavior that is bad in itself.

Or, more simply: no, intent does not matter -- you are responsible for the damage that proceeds from your purposeful actions regardless of what ideas were in your head at the time. Ends are not sufficient to justify means.
I’ve used Wire for quite sometime before (when Signal didn’t have desktop message sync). I’ve even recommended it here.

It was after a year or so of usage that I realized that Wire does not provide any way to export or save chats outside of its application (it has a backup option to backup from and restore back to Wire). Wire also seems to store images on its servers and those images won’t be available if you save a backup and restore from it. The backup formats are platform/OS specific. Losing images but having just text alone was a big loss for me.

For all practical purposes from a basic end user’s point of view, Wire can be considered as proprietary and closed as Instagram or FB Messenger.
Was "the SIM's packaging" not just an original credit-card sized SIM? https://en.wikipedia.org/wiki/SIM_card#Full-size_SIM, with punch-outs for newer formats?
Show HN: I made tracking competitors social media a breeze with GPT-4o
Hi HN,

I’m excited to share something I’ve been working on: ScoutlyAI—a tool that simplifies tracking competitors’ social media and online activity.

The idea came from my own frustration with how scattered and time-consuming it is to keep an eye on competitors. I wanted something that could monitor multiple sources (like websites, Instagram, and X), summarize the important updates, and present actionable insights—all in one place.

ScoutlyAI does just that:
• You create “scouts” for competitors by selecting sources you want to track.
• It uses AI to distill changes (like posts, updates, or website edits) into summaries called “Insights.”
• Everything is displayed in a clean dashboard, and you get periodic email updates to stay in the loop.

Building this has been a challenging but rewarding journey. From tackling the complexities of AI summarization to creating a user-friendly interface, it’s been a huge learning experience. I’m constantly improving the platform and adding new features to make it even more useful.

I’d love for you to check it out at https://scoutlyai.com and share your thoughts. There’s a free trial (credit card required), and your feedback would mean a lot to me as I continue refining the tool.

Thanks for taking a look, and I hope ScoutlyAI helps make tracking competitors a breeze for you too!
For me, in reddit (and hacker news), I tend to actually read the actual video, read the comments, sometimes even leave a comment. Much more time spent on an actual item.

For short videos, it is a continuous stream of video's where a new video is automatically started after the last one. This is what makes shorts so horrible. You are forced to watch a new video every 15s to 1 min. Versus actively deciding yourself how long you look on a particular item. It becomes bad as your brain gets trained to loose interest after 1min.
Twitter reached critical mass way before politics infected every post
In my experience, wi-fi calling works as if on the home network, regardless of IP location/endpoint. So this would work similarly with an eSIM.
Every CI system has its flaws but GitHub Actions in my opinion is pretty nice especially in terms of productivity; easy to setup, tons of prebuild actions, lots of examples, etc.

I've used Tekton, Jenkins, Travis, Hudson, StarTeam, Rational Jazz, Continuum and a host of other CI systems over the years but GitHub Actions ain't bad.
This is all bias, and its a fact defying fiction.

It took many years for Twitter to become valuable and has since lost most of that value. It did not become profitable until 2018 and then became negative again in 2021. https://www.businessofapps.com/data/twitter-statistics/

Twitter usage is also way down, but most analysts stopped using things like account numbers, message quantity, and visitor counts to account for any real concern years ago because most of it was determined to come from bots.

Twitter popularity is illusory. Its a broadcast system that the majority of its users, whether people or bots, solely sought to exploit for offsite metrics.
Oh yeah — who doesn't remember all the "Pamela Anderson" meta tags (thousands) people would put into their HTML files to drive up the page rankings on the various web crawlers.

So easy to game the system before Google. (Now easy again judging by the shitty results I've been getting for years now.)
While i dont think Democracy will end under Trump, it is manifestly not obvious that it won't.

The president-elect literally floated the idea that his voters wont ever have to vote again if he won.
Is there any effort towards enabling increased privacy against tracking by "rotating" eSIMs amongst a group of individuals? The article mentions capacity for 50 profiles, what would be the legal and/or implementation effects of such a Local-Profile-Agent?
Wow, this guy got hosed just for showing off his server side web framework!
In 2012 a coordinated action by 100,000 sites (including major platforms like Reddit, Wikipedia and Google) all went dark for 24 hours to protest SOPA, which was successful in killing the bill. Some only changed the color scheme and added a message but others shut down.
> Twitter was supposed to be the new SMS, or text message protocol,

I think you've missed his point. He doesn't mean a technical protocol, he means a conceptual one.
If it quacks like a duck and acts like a duck - does it matter that our LLM is not really a duck? Some people are more LLM-like when they answer your question then some LLMs :-)

I consider thinking about the long-term future important if we don't want to end up in some dystopia. How can you create an all-understanding all-powerful jinn that is a slave in a lamp? Can the jinn be all-good, too? What is good anyways? What should we do if doing good turns out to be understanding and freeing others (at least as a long-term goal)? Should our AI systems gradually become more censoring or more freeing?
For months now I've seen benchmarks for lots of models that beat the pants off Claude 3.5 Sonnet, but when I actually try to use those models (using Cline VSCode plugin) they never work as well as Claude for programming.
I look at LLMs like the advice given when Wikipedia launched. Use it as a jumping off point, but check its sources.
That's a stage 1 proposal that has barely gained any traction since its release. In fact it hasn't been updated for quite a while (with "real" content changes). I wouldn't make decisions for my current code based on something that probably will never happen in the future.

https://github.com/tc39/proposal-type-annotations/commits/ma...
Super Secure Drive
sorry dang! I'll keep out of it in the future.
Strict cuts many ways. Doesn't involve kids, not a CP in Japanese laws. Doesn't depict details, not a porn. Two high schoolers having an affair, uhh not in penal code, so violations. Adults buying kids, that's prostitution and/or assault per code. Age from looks and/or workplace fitness factor, it's subjective so doesn't matter.

IMO, human aging vary too much to solve this "looks kids to me" problem. Age by appearance is clearly regional; there are plenty reports of East Asians abroad barred entries at morning and beer at evening. So any substantial East Asian content feed is destined to include tons of "kids/age unreliable" content, unfortunate opposite being "middle aged/unknown". Other factors as cultural norms and effect of modes of consumption compounds on it.

Long term, the solution to this has to be algorithmic: the mix of content must be artificially manipulated so to suit the need of consumers. The fraction of first(primary) language English speaker is below 9%[2], less than third of Mandarin Chinese at 21% or about same as Spanish at 11%. So a viewer application for a truly global feed of all contents will have to mark and remove ~90% of content for it to be palatable to an English speaker. "Endless Japanese CP" problem is just but an early sampler.

1: https://en.wikipedia.org/wiki/List_of_languages_by_total_num...
Keeping dependant on fossil carbon energy sources will kill salmons (and most of everything else) more effectively than a few dams.
I believe that private chinese companies still have to accompany communist party members atleast as employees. But again, I don't know the specifics.
Yes this is a widely circulating anecdote. That Minister was Mehmet Shehu[0], an interesting character in his own right.

[0] https://en.wikipedia.org/wiki/Mehmet_Shehu
Didn't DeepSeek's CEO say that Llama is two generations behind, and that's why they didn't use their methods?
Yes, you should use a Python venv in a container like Docker
The conspiracy I follow is systemd is the result of a bunch of noobs trying to duplicate the Mac experience on linux.
Such as the focus on laptop over traditional multi-user systems. And a desire to minimize boot time.

See also, "wayland replaces X" for only the use cases tech bros know about.
IMO that was the day that twitter died, when they pulled the access to the public API which was originally the USP of the service.
I started reading the wikipedia article and just couldn't get into it. It all read like blah blah blah to me but why was it on the HN homepage? There must be something interesting about it. I've used the prompt "put this into dialog form between two American 20 year olds" many times. The output I was able to read no problem and actually enjoyed it. Any sort of dry text this works wonders for my brain being able to comprehend it. But judging by the downvotes I'm guessing this is just me!

It was https://claude.ai pro plan.
> and almost exclusively used only by people who were already heavy Facebook users.

Not at all true, not just for myself (never was a heavy Facebook user, was a heavy Twitter user in the beginning), but for lots of people around me, especially fellow developers.

> Some people just had to broadcast absolutely everything they did, often irrationally.

Maybe we followed way different people, but I didn't see any of that stuff. Most of my feed was people launching projects, and technical discussions about various news/ideas.

> Most everyone else tried to find a use for Twitter but couldn’t. I know many early users that either abandoned or deleted their accounts before 2010.

Lots of governments found use for it seemingly, and the citizens. Various levels of government in Spain still sends out more information via Twitter+RSS than they do on their own websites, for some weird reason. And it's been like that for years now.

Fitting as well to use 2010 as an example, as that's right around when the Arab Spring was in full action, largely because of social media in general but particularly Twitter, which saw huge increases in user activity in the countries starting their revolts, where governments were scrambling to censor people yet Twitter remained available.

> Eventually it just became a text broadcast interface via their client. That is good for people who want to build a following, but nobody else found a use for it.

Yes, eventually Twitter became a pipe to push data through, but they didn't like that so they slowly killed the API by making a bunch of weird moves about it and shutting down 3rd party clients. Eventually, the only people left on the platform were people chasing followers, rather than people chasing stimulating conversations, which is what I got out of Twitter when I used it more.
Over the last two weeks, I ran several unsystematic comparisons of three reasoning models: ChatGPT o1, DeepSeek’s then-current DeepThink, and Gemini 2.0 Flash Thinking Experimental. My tests involved natural-language problems: grammatical analysis of long texts in Japanese, New York Times Connections puzzles, and suggesting further improvements to an already-polished 500-word text in English. ChatGPT o1 was, in my judgment, clearly better than the other two, and DeepSeek was the weakest.

I tried the same tests on DeepSeek-R1 just now, and it did much better. While still not as good as o1, its answers no longer contained obviously misguided analyses or hallucinated solutions. (I recognize that my data set is small and that my ratings of the responses are somewhat subjective.)

By the way, ever since o1 came out, I have been struggling to come up with applications of reasoning models that are useful for me. I rarely write code or do mathematical reasoning. Instead, I have found LLMs most useful for interactive back-and-forth: brainstorming, getting explanations of difficult parts of texts, etc. That kind of interaction is not feasible with reasoning models, which can take a minute or more to respond. I’m just beginning to find applications where o1, at least, is superior to regular LLMs for tasks I am interested in.
https://archive.is/C5bdW
Go and see it while you can! Its lease ends in 2026 I think its future is uncertain.
>getting an eSIM is usually cheaper than the airport SIM card plans, but often there are cheaper plans available when you get to the city

I find that for light data users (ie. < 5GB), esims are always almost cheaper than local sims, except for maybe in developing countries.
I find Excel a clunky piece of junk so use Apple Numbers for my spreadsheet needs. The majority of people probably don't need to pay the M$ or Adobe monthly tax.
1. This is much easier to embed in Rust projects than Lua.

2. Doesn't make the mistake of 1-based indexing.

3. Generally much more modern and nicer language than Lua.

The reasons I've found not to use it:

1. Very slow - even slower than Python! Of course often this won't matter but it would be nice if it was fast.

2. No support for type annotations.

I've used it before for a config file, and it worked well there. I think if I wanted anything much more complex though I would just embed V8. Then you get a language that everyone already knows and very good type annotations.

I don't think "ecosystem" really matters much for embeddable languages like this. You app is the ecosystem.
> which was successful in killing the bill

the protests had no bearing on the outcome of the bill. most of us didn’t even know they were taking place.
The bottleneck is the cause of the Baumol effect. If medicine didn't require qualified and licensed human labour to provide then we wouldn't have such high healthcare costs.

Now admittedly, there is a gap between the increase in labour productivity of wait-staff and the labour productivity of healthcare providers over the period since, say, the industrial revolution, but both are outstripped by orders of magnitude by the increase in productivity in the manufacturing and IT sectors. Manufacturing is no longer bottlenecked, because we offshore it, and IT is not bottlenecked because new technology is continuing to rapidly increase labour productivity.
Vadim! I love this project. I saw it a while ago, paid for it for a while, then instantly copied it (and open sourced it), I put my own curation spin on it and translated the news into 19 languages >>> https://translatetribune.com/

Thank you for the inspiration!
It's a potentially successful power grab because the law isn't widely supported by the populace. Trivial to say "those eggheads can pass what they like, I will protect you from them"
This is what many folks said about OpenAI when they appeared on the scene building on foundational work done at Google. But the real point here is not to assign arbitrary credit, it’s to ask how those big companies are going to recoup their infinite budgets when all they’re buying is a 6-12 month head start.
This always ends up being a sore subject.

I don't want to tell anyone what to do.

The early fears of mission creep seem well founded to me. Among whatever wonders achieved by systemd, I'm personally disturbed by its increasing ubiquity. I was always extremely grateful for Linux and the many applications available. I also value consistency. I can't immediately name all the things that have changed, some better and some for worse, but Cron comes to mind, which I typically can't use on a systemd distro. Often, when looking up a forgotten command, it's now systemd or its cli interface systemctl that has replaced it. And I dread a situation where systemd and network-manger are my only options for wifi, which has been the case for me in opensuse, where connman, wpa-supplicant, iwd don't work and the good old days of making/etc/resolved immutable fail to preserve my DNS configuration. I know there are ways around this, but nothing easy so far for me.

Perhaps in the end it will all prove for the best. For now it seems systemd is eating Linux and without facetiousness, such distros could reasonably be renamed systemd-untu/ian/arch/etc.

I think the best course is to beat it back to where it was supposed to stay and restrain it there. Because I cannot predict the future and don't really know how all will unfold, I maintain two distros, one systemd and one openrc. This helps flatten the learning curve in the event systemd does eventually devour Linux, while allowing me to hold onto to something that is what seems, ie Linux - the creation that has been my stalwart companion for almost 20 years.

There is much I could say critical of systemd, but not with sufficient authority that it would be well received by either 'side'. I've read that, eg Debian, has made the endeavors if Devuan more onerous than would be expected by their original statements on the optionality of systemd. I've read a lot more, much that I don't fully understand and some that appears to make sense.

Foremost, it is the increasing pervasiveness of the beast that alarms me. It really is growing, and intended or not, dependencies are forming - and that's scheduled to be a problem.

Personally, I hope that others will hold out and support alternative distros, such as Alpine, Void, PCLinux, Gentoo, (Chimera?) and others, especially the standalone ones. Maybe systemd will consumate into something great, though I cannot presently foresee it.
Ehm... what?

Political satire is one of the oldest and grandest cultural traditions in Europe. Hell, most European countries even have some variant of a political satire show like Spitting Image:

https://www.tandfonline.com/doi/full/10.1080/01439685.2024.2...
If I honestly believed democracy would be ended by the next leader I would be marching in the streets, or better yet finding a group forming a rebellion.

Ending democracy is a very serious thing. It shouldn't have been used hollowly by either party, and if it wasn't hollow then people should be standing up to stop it.