MurphyA/hacker-news huggingface dataset:
by righthand | 2025-10-12 20:12:30+00:00
Something I’ve heard said within the last 5 years and I find true in practice:

Nobody (not enough) pays for music, and streaming made that even more true.

Most of the music I don’t intentionally listen to, I instead hear is often out in public (or outside my control): grocery store, restaurant, hotel lobby, subway station, park, neighbors speaker, person on a bike, etc.

A lot of this music is often either the radio or ad-based streaming platforms.

The only people who pay for music are either die hard fans or people who have been guilted into paying for a streaming subscription. Often times even die hard fans/enthusiasts will purchase an vinyl LP or only use the streaming purchase to offset the pirating they do for high quality formats or rarity reasons.

Most listeners of music are not paying for it; if you are…you’re a sucker.*

* I have a Tidal subscription
by quesera | 2025-10-12 20:13:09+00:00
I'm old enough to have heard this before, once or thrice.

It's always different this time.

More seriously: there are decent arguments that say that LLMs have an upper bound of usefulness and that we're not necessarily closer to transcending that with a different AI technology than we were 10 or 30 years ago.

The LLMs we have, even if they are approaching an upper bound, are a big deal. They're very interesting and have lots of applications. These applications might be net-negative or net-positive, it will probably vary by circumstance. But they might not become what you're extrapolating them into.
by al_borland | 2025-10-12 20:13:12+00:00
Where I work we start using OneDrive for backup, even on macOS. It hijacks your Documents folders, as well as a few others. I suspect most people don't even realize they're using OneDrive.

I've had to tell dozens of people to move their git repos to folders that aren't managed by OneDrive. I've seen where someone will change branches and OneDrive will start pulling files back down from the old branch. It's quite the mess.
by commandersaki | 2025-10-12 20:13:25+00:00
Yep, I really want to dote on wireguard and have contributed a little bit to it in its early years, but I've always found dsvpn to work at any cafe/hotel/hospital/etc. where I roam (except Sydney Airport - fuck their hostile wifi).

[dsvpn]: https://github.com/jedisct1/dsvpn
by godelski | 2025-10-12 20:14:31+00:00
Do you know certain shoes are banned in running competitions?

There's a really fine line here. We make shoes to help us run faster and keep our feet safe, right? Those two are directly related, as we can't run very fast if our feet are injured. But how far can this be taken? You can make shoes that dramatically reduce the impact when the foot strikes the ground, which reduces stress on the foot and legs. But that might take away running energy, which adds stresses and strains to the muscles and ligaments. So you modify your material to put energy back into the person's motion. This all makes running safer. But it also makes the runner faster.

Does that example hack the metric? You might say yes but I'm certain someone will disagree with you. There's always things like this where they get hairy when you get down to the details. Context isn't perfectly defined and things aren't trivial to understand. Hell, that's why we use pedantic programming languages in the first place, because we're dealing with machines that have to operate void of context[0]. Even dealing with humans is hard because there's multiple ways to interpret anything. Natural language isn't pedantic enough for perfect interpretation.

[0] https://www.youtube.com/watch?v=FN2RM-CHkuI
by withinboredom | 2025-10-12 20:14:36+00:00
I’ve got scars all over my body from cuts and scrapes. Some even needed stitches, back when that was a thing (now we just use some magic glue)! I’ve been lucky to never have a broken bone, but it wasn’t for lack of trying!

I didn’t live in an urban area until I was in my late 20s.
by zkmon | 2025-10-12 20:14:45+00:00
Also, the eco-system plays the biggest controlling role in the bubble and its aftermath. Ecosystem of social, political and business developments. Dotcom aftermath still had the wind from all the ecosytem trends that brought the dotcom back with bigger force. If the post AI hype world still has high priority for these talking bots, then maybe it's comparable to dotcom. If the world has other bigger basic issues that need attention, then yes, it could become a pile of silent silicon.
by leakycap | 2025-10-12 20:15:12+00:00
Suicide is not evidence someone failed to understand pain; it's often proof they understood it too intimately, lived within it until nothing else remained.

What you've attempted is a philosophical sleight-of-hand that collapses under minimal scrutiny. Your "suffering is suffering" assertion—tracing all human agony back to a singular, universal source is a fallacy of composition. I encourage you to look into this concept, as you seem like a person who would like to be thoughtful in the way you approach these subjects.

The deer example highlights that you are mashing vastly different experiential realities to avoid dealing with the contextual depth of human distress. The resilience of a wounded deer, driven by biological signaling, offers no insight into the psychic anguish, societal shame, or cognitive collapse that is often part of human despair. Pretending these are equivalent is intellectually bankrupt from the start.

Claiming the person noted the article "was not suffering at all" and "knew so little about suffering" is stunningly out of touch.

The issue here is intellectual humility: your personal framework cannot possibly encompass the private hell another person lived with - well, until they couldn't anymore.
by maxglute | 2025-10-12 20:15:45+00:00
AI chips and bespoke data centers are closer to tulips than rail or fiber in terms of deprecated assets. They're not fungible stranded assets with long shelf life or room for improvment. Bubble bursting also points to current model towards AI is inherently not economically viable, i.e. we'll still be inferencing off existing models but won't be pouring 100billions into improving them. TLDR much more all or nothing gambit than past infra booms.
by dublinben | 2025-10-12 20:16:41+00:00
>Do people need training to use a calculator?

Yes? Quite a bit of time was spent in math classes over the years learning to use calculators. Especially the more complicated functions of so-called graphing calculators. They're certainly not self-explanatory.

What does it say about your skill or the depth of this tool that you haven't gotten better at using it after 2 years of practice?
by BrenBarn | 2025-10-12 20:16:55+00:00
But this seems like the fallacy of comparing a benevolent and somewhat reasonable monarchy to a malicious or foolish non-monarchist government. Any system can wind up with stupid people doing stupid things. The difference is if you get one stupid person in as king they could sell everything off or cause who knows what damage, whereas with a more diffuse government one person can't do as much harm. (The current situation in the US also shows how it's important to keep the power diffused rather than centralized in one person.)
by happytoexplain | 2025-10-12 20:17:07+00:00
In my experience, "training" usually means just telling people not to blindly trust the output. Like... read it. If you can't personally verify in a code-review capacity that what it wrote is apparently correct, then don't use it. The majority of people simply don't care - it's just blind copy-pasting from StackOverflow all over again, but more people are doing it more often. Of course, like most training, it's performative. 90% of the people making this mistake aren't capable of reviewing the output, so telling them to is pointless.
by antonvs | 2025-10-12 20:18:14+00:00
I run models for coding on my own machines. They’re a trivial expense compared to what I earn from the work I do.

The “at a loss” scenario comes from (1) training costs and (2) companies selling tokens below market to get market share. Neither of those imply that people won’t run models in future. Training new frontier-class models could potentially become an issue, but even that seems unlikely given what these models are capable of.
by isodev | 2025-10-12 20:18:23+00:00
That depends a bit on the ecosystem too.

For editors: Zed recently added the disable_ai option, we have a couple of folks using more traditional options like Sublime, vim-based etc (that never had the kind of creepy telemetry we’re avoiding).

JetBrains tools are OK since their AI features are plugin based, their telemetry is also easy to disable. Xcode and Qt Creator are also in use.
by Jean-Philipe | 2025-10-12 20:18:25+00:00
Not sure it's relevant at all, but a therapist who's working with kids in a large clinic in Berlin told me that anorexia cases in kids have doubled since COVID. He said they don't have the infrastructure to treat all those kids. It's pretty dramatic. That being said, I wouldn't be surprised if a large portion of those cases were really caused by long COVID.
by ogoffart | 2025-10-12 20:18:36+00:00
> Rust claws at market share but has problems with basic stuff like doubly linked lists, WIP gccrs and memory unsafety,

Doubly linked lists aren’t that important today. Rust doesn’t need gccrs to be useful, and it gives much better memory safety than C++ without needing a GC. So I find your criticism of Rust seems a bit weak. Rust is a strong alternative to C++.
by bastard_op | 2025-10-12 20:18:50+00:00
Do you think they report income on when Saudi Arabia pays them for Apple 0-days every time someone pisses of MBS there? I bet they filed taxes on what they or others like them got for Jamal Khashoggi or other journalists they helped take out.

Apple pays 2m for 0-days now, but I bet kings pay better yet.

History has documented what sort of player they are, I suppose it says something of the times that they still operate/proliferate with impunity.
by jopsen | 2025-10-12 20:19:06+00:00
Could be survivorship bias ;)

But yes, the don't make them like they used to -- in fact they never did!

People said the same thing 25 years ago, and 25 years before that.

A modern fridge is probably cheaper (corrected for inflation) and more energy efficient.

Moreover, few appliances lives to be 30 years old just because they don't break.

Case in point: my better half is looking for a new oven. Because the 10y old one we have is noisy, compared to the new smart ovens. (I personally hate the fact that the top models are so smart, I must spend a second or two watching animated Siemens logo, before it's ready for input).
by ff2400t | 2025-10-12 20:19:16+00:00
I think you aren't understanding the meaning of the world bubble here. No one can deny the impact LLM can have but it still has limits. And the term bubble is used here as an economic phenomenon. This is for the money that openai is planning on spending which they don't have. So much money is being l poured here, but most users won't pay the outrageous sums of money that will actually be needed for these LLM to run, the break even points looks so far off that you can't even think about actual profitability. After the bubble bursts we will still have all the research done, the hardware left and smaller llms for people to use with on device stuff.
by kgeist | 2025-10-12 20:19:48+00:00
Yesterday I was trying to make a small quantized model work, but it just refused to follow all my instructions. I tried to use all the tricks I could remember, but fixing instruction-following for one rule would always break another.

Then I had an idea: do I really want to be a "prompt engineer" and waste time on this, when the latest SOTA models probably already have knowledge of how to make good prompts in their training data?

Five minutes and a few back-and-forths with GPT-5 later, I had a working prompt that made the model follow all my instructions. I did it manually, but I'm sure you can automate this "prompt calibration" with two LLMs: a prompt rewriter and a judge in a loop.
by cs702 | 2025-10-12 20:19:56+00:00
I disagree. The OP states in the first sentence of its "Conclusion" section:

> To conclude, there appear to be parallels between excessive toy motivation in dogs and behavioural addictions in humans.

Understandably, however, the must authors qualify and frame their conclusion, so later on they add:

> Despite the observed parallels between high-AB dogs and humans affected by behavioural addictions, we refrain from conclusively characterising high-AB dogs as exhibiting addictive behaviour, given the absence of established benchmarks or standardised criteria.
by stanac | 2025-10-12 20:20:10+00:00
More or less every high-end hardware becomes obsolete, or in other words becomes second class. First difference is that at least networking hardware could be used for years, compute/storage servers became obsolete faster than networking. Second is scale. Google summary says that current investments are 17x greater than dot com investments. It may be wrong about the number but investments are at least on an order of magnitude larger.

Maybe in next decade we will have cheap gaming cloud offerings built on repurposed GPUs.
by Cpoll | 2025-10-12 20:21:02+00:00
Things I'd include in training: - Mental model of how the AI works. - Prompt engineering. - Common failure modes. - Effective validation/proofreading.

As for internal stuff like emails/design docs... I think using an AI to generate emails exposes a culture problem, where people aren't comfortable writing/sending concise emails (i.e. the data that went into the prompt).
by vlovich123 | 2025-10-12 20:21:09+00:00
It’ll take a little bit of time. But for example Cloudflare’s Warp VPN also uses Wireguard under the hood.

So while corp environments may take a long time to switch for various reasons, it will happen eventually. But for stuff like this corp IT tends to be a lagging adopter, 10-20 years behind the curve.
by antonvs | 2025-10-12 20:21:40+00:00
Just channeling amoral billionaires here, so don’t shoot the messenger, but if everything is automated by machines that you control, you no longer need to farm humans for capital.

Not saying that’s even remotely realistic over the next century, but it does seem to be how some of these people think. Excessive wealth destroys intelligence, it doesn’t enhance it, as countless examples show.
by Juliate | 2025-10-12 20:22:17+00:00
Ok, running them locally, that's definitely a thing.

But then, without this huge financial and tech bubble that's driven by these huge companies:

1/ will those models evolve, or new models appear, for a fraction of the cost of building them today?

2/ will GPU (or their replacement) also cost a fraction of what they cost today, so that they are still integrated in end-user processors, so that those model can run efficiently?
by quesera | 2025-10-12 20:22:24+00:00
Running the models is cheap. That will be worthwhile even if the bubble pops hard. Not for all of the silly stuff we do today, but for some of it.

Creating new LLMs might be out of reach for all but very well-capitalized organizations with clear intentions, and governments.

There might be a viable market for SLMs though. Why does my model need to know about the Boer wars to generate usable code?
by bccdee | 2025-10-12 20:23:55+00:00
> The phrase "traumatically over-X" is extremely rare.

There are plenty of "over-x" phrases in English associated with trauma or harm. Do a web search in quotes for "traumatic over{extension/exertion/stimulation}" (off the top of my head) and you'll get direct hits. And this isn't a Markov chain—its doesn't have to pull n-grams directly from its training material. That it could glue trauma and training into "traumatic over-training" is deeply unsurprising to me.

> I couldn't in a million years put it into writing as succinctly and as precisely as the LLM.

If that's the case, then (with respect) that may be down to your skills as a writer. The LLM puts it decently enough, but it's not very expressive and it doesn't add anything.

> Connecting RL, poor LLMs, extreme fear, and welfare to excess training and severe lasting emotional pain is pretty darn impressive

Is it? Really, we're just analogizing it to an abused pet. You over-train your dog, so it gets traumatized. The LLM connects the ideas and then synthesizes a lukewarm sentence to capture that connection at the cost of losing a degree of precision, because LLMs aren't animals. Models are good at those vector-embedding-style conceptual connections—I won't begrudge them that. Expressive use of language and fine-grained reasoning, though? Not so much.
by matt_heimer | 2025-10-12 20:23:58+00:00
They can use keepalive but it's likely the small sites are not getting enough traffic on the edge nodes to maintain the connections.

You don't think taking a small hit on TTFB is a good trade off for the improved scaling that a CDN offers?

Gone are the days that you don't have to worry about bot traffic being a DDOS. An unresponsive site is a lot worse than an extra TCP/TLS setup.
by dcminter | 2025-10-12 20:24:42+00:00
> this is not an intellectually honest claim

Don't do that, it's not cool.

> Take [...] a step further, and imagine the systems in 2035

How about imagining AI slop multiplied by 10 years. How bad is this going to get?

It's cool that you're excited, but you need a bit more than enthusiasm to make the case.
by JeffeFawkes | 2025-10-12 20:25:01+00:00
Apple Music gave me a 90 day trial as soon as this Spotify snafu started, and it imported all but maybe 50 of my 5000+ songs from Spotify without issue, including King Gizz. I haven't touched Spotify so far this month, and I think I'm going to cancel it. I would say the music discovery features on Music are worse, but I also haven't tried to use them much yet. (That, and Spotify had gone massively downhill, I'd be lucky to get one or two new songs a month I liked with their recommendation pipeline. Which is a shame, because it used to be one of the best for me.)
by frizlab | 2025-10-12 20:25:13+00:00
I don’t know if you remember iOS 7, it was a catastrophe. Designs evolve on Apple platforms, usually in the correct direction.

Anecdotally, I have used Liquid Glass since the first beta and I honestly think there are a lot of good things there. Took me a few months but I actually like it now (and I have some colleagues in there same boat as me).
by flowerthoughts | 2025-10-12 20:25:15+00:00
I remember when Sony wanted to launch their own music streaming service. Naturally only with their catalogue. They're large in Japan, but really small elsewhere. Didn't go well.

This has been coming up every other year. The problem is that everyone trying to build a platform wants $10. I'm not paying for two such services, because the marginal benefit over the first is maybe $2. Perhaps the solution is regulation, I dunno. But keeping marginal costs down needs to be part of the solution. Or it'll be Netflix all over where movie studios started doing the Sony thing, and (some) customers went back to pirating.
by mindslight | 2025-10-12 20:25:23+00:00
> but to claim that any of them are not MAGA

> (which would mean they actually did not vote for Trump)

There is a difference between these two things, no? I've talked to people who voted for Trump subsequently regretted it after they saw what he is actually doing. Low. Information. Voters.

Our goal should be to leverage this difference. It's self-defeating to simply assume everyone that voted for Trump in 2024 continues to support cozying up to middle eastern autocrats, covering up the Epstein case, bully pulpit led cryptocurrency fraud, middle of the night raids on entire apartment buildings, deploying National Guards to occupy American cities and attack protestors, deliberately inhumane treatment of deportees while mostly letting businesses continue on as usual, etc. Or even that they support things that Trump did in his first term, like attacking the second amendment (eg his leadership around Kenneth Walker / Breonna Taylor).

Of course some of these topics are more subtle and lend themselves to propaganda bubbles. Like dwelling on the concentration camps probably isn't the best idea, since it's so easy to shut off one's empathy. But these are the angles of engagement we need to be looking for - unless we're just going to watch our Constitutional Republic being destroyed for four years, while hoping there might be some pieces left to pick up at the end.
by npalli | 2025-10-12 20:25:44+00:00
Where are you seeing proprietary compilers freezing support after C++17. C++20 support is almost green across the board (even Cray) and C++23 is getting there. As usual there is a lag, for ex. when nvcc will declare C++23 support and whole swath will turn green. Right now it only supports C++20 (but you can mix in C++23 files and link them together) etc.. I see most C++ projects make C++20 a minimum. (not counting someone who wants to keep running C++98).
by csense | 2025-10-12 20:25:45+00:00
Java Applets.

All the buzz in the 2020's about WASM giving websites the ability to run compiled code at native speed, letting pages network with your server via WebRTC?

Yeah, you could do that with Java Applets in 1999.

If Sun (and later Oracle) had been less bumbling and more visionary -- if they hadn't forced you to use canvas instead of integrating Java's display API with the DOM, if they had a properly designed sandbox that wasn't full of security vulnerabilities?

Java and the JVM could have co-evolved with JavaScript as a second language of the Web. Now Java applets are well and truly dead; the plugin's been removed from browsers, and even the plugin API's that allowed it to function have been deprecated and removed (I think; I'm not 100% sure about that).
by bruce511 | 2025-10-12 20:25:57+00:00
The moment you say Linux you immediately eliminate 97% of the population.

When you add f-droid (like that's a completely normal way of naming things) you pretty much ensure that 97% starts thinking about anything else.

I get it, you like OSS. I like it to. But for 97% of people its just completely irrelevant. None of your "advantages" matters to 97% of people.

Let's leave aside for the moment that pretty much all (with a few notable exceptions), OSS software compares terribly to commercial software. Lets ignore that Support for OSS software is pretty bad.

The biggest reason you can't convince anyone to use OSS is because you clearly believe OSS is good. When an objective person, 97% of whom have never seen a command line interface, or actually installed ANY OS ever take one look and see a big pile of pre-fan supplements.

I say this as someone who makes use of OSS software every day. There is outstanding OSS software available. I could list many great nuggets.

Categorizing software as good or bad based on the license is probably the least useful way to do it. All licenses, commercial or open, cover software that's mostly rubbish, with occasional good offerings. You may as well evangelize red cars as being better than blue cars.

So yeah, stop selling the "license". Nobody cares about the license. If you like Postgres then evangelize that. The license is completely irrelevant.
by sunscream89 | 2025-10-12 20:25:59+00:00
A certain simplicity.

There is a simplicity that is pure genius, and then there is the noise of everyone trying to sound like geniuses

It’s like some people are naturally good at haiku. It’s simple, it’s catchy, if you can pull it off without being obviously wrong it is pleasing.

“Keeps coming back” is the mistaken angle, “recognizes and doesn’t mind what else … has to say” is more like it.
by azeirah | 2025-10-12 20:27:22+00:00
Given the popularity and activity and pace of innovation seen on /r/LocalLLaMa, I do think models will keep improving. Likely not at the same pace as they are today, but those people love tinkering but it's mostly enthusiasts with a budget for a fancy setup in a garage, independent researchers and smaller businesses doing research there.

These people won't sit still and models will keep getting better as well as cheaper to run.