MurphyA/hacker-news huggingface dataset:
by locknitpicker | 2025-11-27 17:24:16+00:00
> Good explanation for why hiring stopped. If AI is improving rapidly why hire engineers now that you might not need in 6-12 months?

I'm not so sure that's the reason. I mean, to believe LLMs replace engineers you first need to believe engineers spend the bulk of their time typing frantically churning out code in greenfield projects. That's not compatible with reality. Although LLMs excel at generating new code from scratch, that scenario is the exception. Introducing significant changes to existing projects still requires long iterations which ultimately end up consuming more development time than actually rolling out the changes yourself.

The truth if the matter is that we are not observing an economic boom. The US is either stagnant or in a recession, and LLMs are not their cause. In an economic downturn you don't see spikes in demand for skilled workers.
by dheatov | 2025-11-27 17:24:28+00:00
I doubt it's anywhere near million. Non-zero? Sure.

But even for those scenario where "AI" helps, I still believe there exists other alternatives that doesn't consume unreasonable amount of energy and are not megacorp controlled blackbox. Usually it's just better tooling, and/or a change in the process.

The reason why "AI" is simply bad is way beyond malicious abuse of these stochastic models, thus the analogy of banning phone doesn't actually work.

On the creative side, I feel like punk act like this, fighting back against all these throat-shoving and gaslighting, is pretty artistic.
by adrian_b | 2025-11-27 17:24:43+00:00
I have a Quantum LTO-7 drive (6-TB tapes) bought many years ago for $3000.

Today I would strongly recommend against buying a LTO-7 drive, as it is obsolete and you risk to have a tape collection that will become unreadable in the future for the lack of compatible drives. A LTO drive can read 2 previous generations of tapes, e.g. a LTO-9 drive can read LTO-7 and LTO-8 tapes. LTO-10 drives, when they will appear in a few years, will no longer be able to read LTO-7 tapes.

The current standard is LTO-9 (18-TB tapes). If you write today LTO-9 tapes, they will remain readable by LTO-11 drives, whenever those will appear.

Unfortunately, LTO-9 is a rather new standard and the tape drives, at least for now, are even more expensive.

For instance, looking right now on Newegg, I see a HPE LTO-9 tape drive for $4750.

Perhaps it could be found somewhat cheaper elsewhere, but I doubt that it is possible to find a LTO-9 tape drive anywhere for less than $4500.

If you need to store at least 200 TB of data, you may recover the cost of the tape drive from the difference in price between LTO-9 cartridges and HDDs.

Otherwise, you may choose to use a tape drive for improved peace of mind, because the chances for your data that is in cold storage on tapes to become corrupt are far less than if it were stored on HDDs.

I have stored data for many years on HDDs, but the only thing that has kept me from losing that data was that I have always duplicated the HDDs (and I had content hashes for all files, for corruption detection, as the HDD controller not always reported errors for the corrupted blocks). After many years, almost all HDDs had some corrupted blocks, but the corrupted blocks were not in the same positions on the duplicated HDDs, allowing the recovery of the data.
by z64 | 2025-11-27 17:25:02+00:00
We have about 50 employees distributed across NA, EU, and Asia; maybe about 10 of us are in the US/Canada? 4 of them are actually local to Belgrade and use the Hub regularly, and see occasional visits from the rest of the company - we all meet up 2-3 times a year.

It's also a space that our founder has already been leasing for the better part of 10 years(?), long before Kagi was even a thing. As others have pointed out, this is Serbia, not SF - it's very cheap in relative.

So in perspective,

- a handful of our team just got a nice office for daily use together in person

- it is a "home base" that others in Kagi can freely use as they travel; we're already planning some "jams" to host there in 2026 to get major features over the line in person :)

- our community can engage with us there as well, we love our customers! online engagement is a very suffocated and transactional space

- it really isn't that expensive

It's all net positive to us in terms of investment in our own people and the community.
by mewpmewp2 | 2025-11-27 17:25:06+00:00
I would love to see true really good AI art. Right now the issue is that AI is not there where it by itself could produce actually good art. If we had to define art it would be kind of opposite of what LLMs produce right now. LLMs try to produce the statistical norm, while art is more so about producing something out of the norm. LLMs/AI right now if it wants to try to produce out of norm things, it will only produce something random without connections.

Art is something out of the norm, and it should make some sense at some clever level.

But if there was AI that truly could do that, I would love to see it, and would love to see even more of it.

It can be clearly seen, if you try to ask AI to make original jokes. These usually aren't too good, if they are good it's because they were randomly lucky somehow. It is able to come up with related analogies for the jokes, but this is just simple pattern matching of what is similar to the other thing, not insightful and clever observation.
by HarHarVeryFunny | 2025-11-27 17:25:06+00:00
There's a limit to how much novelty you're going to get from an LLM, especially in areas like programming and math where they've been heavily RL'd NOT to be novel, even to extent that the base model supports, and instead generate much narrower more proscribed outputs.

The limit to the novelty you are going to get from an LLM is essentially the "deductive/generative closure" of the training data. To be truly novel and move past the limits of your own past experience requires things like curiosity, continual learning, and the autonomy/agency to explore and learn.
by cj | 2025-11-27 17:25:19+00:00
Right, but that’s slightly different.

I think the nuance here is that with algorithmic based outrage, the outrage is often very narrow and targeted to play on your individual belief system. It will seek out your fringe beliefs and use that against you in the name of engagement.

Compare that to a typical flame war on HN (before the mods step in) or IRC.

On HN/IRC it’s pretty easy to identify when there are people riling up the crowd. And they aren’t doing it to seek out your engagement.

On Facebook, etc, they give you the impression that the individuals riling up the crowd are actually the majority of people, rather than a loud minority.

Theres a big difference between consuming controversial content from people you believe are a loud minority vs. controversial content from (what you believe is from) a majority of people.
by quickthrowman | 2025-11-27 17:25:26+00:00
A foreign adversary would likely try much harder to influence the Federal Reserve Bank than the Trump administration already has. I think they would’ve asked for a wholesale firing of the voting members with yes-men replacements and several rate cuts after that, but it hasn’t happened. The Trump administration backed off from firing Powell and Cook, which I wouldn’t expect to see if someone else was pulling the strings.

Impacting our ability to borrow money/causing inflation are the strongest non-military weapons that can be used against the US, in my opinion.
by philipallstar | 2025-11-27 17:25:50+00:00
> But if the spirit of the laws was followed in full - an anti-hate speech law would be beneficial for society

This is magical thinking. Giving the state power over speech is a bad idea in reality. Put functional hate speech laws into that same category as Star Trek post-scarcity and transporters: things that might sound neat, but are currently impossible and have no path towards becoming possible.
by thesz | 2025-11-27 17:26:15+00:00
> ...when he's not working is when he's depressed.

The cure for that is known since dawn of time - walking.

Holmes, being an exceptionally observant man, definitely would observe that walks raise the mood, allow for (most often silly) ideas to come and, last but not least, increase observation capabilities, attention to details and speed of thought.

Arthur Conan-Doyle did an extensive walks back then, but his hero was written to not to. This is not right.
by the_mitsuhiko | 2025-11-27 17:26:15+00:00
So far my experience is that unless you subscribe to the general narrative of the platform, the discover algorithm punishes you with directing the mob your way.

I had two of my Bluesky posts on AI being attacked by all kinds of random people which in turn has also lead to some of those folks sending me emails and dragging some of my lobster and hackernews comments into online discourse. A not particularly enjoyable experience.

I’m sure one can have that same experience elsewhere, but really it’s Bluesky where I experienced this on a new level personally.
by tracker1 | 2025-11-27 17:26:26+00:00
It took about a year and three specialists... Mostly just tried to treat the symptoms.

I found it when I found out about the lawsuit against Trilicity and put 1 and 1 together.

I've still got some digestive problems almost 2 years since stopping.. but it's not as bad. The 24/7 sense of starvation stopped after about a year and gaining 80# over when I started them.

I put Trilicity and Ozempic together as I was on both at one point due to availability issues... Which disqualifies me from active participation from both class action suits.

I've had some of the worst interpretations of a lot of medications before but nothing like this... For the rest of my life, I'm unlikely to take any new prescriptions from here forward...

I'm mostly managing my diabetes with a meat based diet and minimal supplemental insulin. Many days I don't need any. But gluconeogenesis will build up after a few days, even if I haven't eaten.

The more I've looked into it, the more I feel T2D is here treated with Keto/Carnivore over pharma intervention. Doesn't make it easy and environmental issues happen... I cheat about one meal a week and often pay for it.
by femiagbabiaka | 2025-11-27 17:26:38+00:00
Well that's the thing -- you might be flagged as spam in the Bluesky PDS, but there are other PDS's, with their own feeds and algorithms, and in fact you can make your own if you so choose. That's a lot of work, and Twitter is definitely easier, but atproto means that an LLM cannot steal your voice.
by ryandrake | 2025-11-27 17:26:56+00:00
I think a lot of people in this thread are mistaking SDK version and minimum supported version.

The App store requires you to link with a minimum SDK version, but the minimum supported version is set independently by the developer in Xcode. The latest version of Xcode + the latest SDK can still support devices running iOS 15. Developers are deliberately choosing to drop such support. Or maybe they just don't know how, as evidenced in this thread.
by Neywiny | 2025-11-27 17:27:08+00:00
> Seagate is leveraging its heat-assisted magnetic recording (HAMR) technology to deliver its 6.9TB platter. If you want to check out how Seagate's HAMR technology works, check out our previous coverage. In a nutshell, HAMR uses heat-induced magnetic coercivity to write to a hard drive platter.

Wow so heat assisted magnetic recording is using heat to magnetically record data. Incredible explanation.
by arjie | 2025-11-27 17:27:18+00:00
Woah, this is amazing. I’ve been looking for an ARM Linux machine for a while and ended up about to get M2 Pros in a rack running Asahi. It has been near impossible to get a Snapdragon Elite machine. The IdeaCentre or whatever is 2x the cost / performance and as far as I know is poorly supported.

This changes the game. I’d rather use native Linux than Asahi (though the latter is amazing).
by coffeecoders | 2025-11-27 17:27:35+00:00
I’m not sure I agree with this sentiment. You can type something "by hand" and still have almost no voice in it if the incentives push you to flatten it out.

A lot of us spent years optimizing for clarity, SEO, professionalism etc. But that did shape how we wrote, maybe even more than our natural cadence. The result wasn’t voice, it was everyone converging on the safe and optimized template.
by daemonologist | 2025-11-27 17:27:42+00:00
My impression from the emulation folks is that the proprietary drivers are chock full of problems. I suspect it was open source drivers or nothing (i.e., back to an AMD x86 solution like the Steam Deck).

(And I don't think Qualcomm has seen the light - my understanding is that the Turnip drivers are purely reverse engineered.)
by Frieren | 2025-11-27 17:28:31+00:00
> But if picturing that guy running the show feels like a disaster, then let’s be honest: the issue isn’t the absence of regulation, it’s the desire to force the world into your preferred shape.

For example, we can forbid corporations usage of algorithms beyond sorting by date of the post. Regulation could forbid gathering data about users, no gender, no age, no all the rest of things.

> Calling it “regulation” is just a polite veneer over wanting control.

It is you that may have misinterpreted what regulations are.
by femiagbabiaka | 2025-11-27 17:28:59+00:00
I saw that, and I'm sorry it happened. I thought both the response to your original post and the resulting backlash to both you and everyone who engaged with you sincerely were absurd. I think that because of atproto you have the flexibility to create a social media experience where that sort of thing cannot happen, but I also understand why you in particular would be put off from the whole thing.
by vrighter | 2025-11-27 17:29:25+00:00
So? The point is that humans do it much less often.

Let's say there are 10 subtasks that need to be done.

Let's say a human has 99% chance of getting each one of them right, by doing the proper testing etc. And let's say that the AI has a 95% chance of getting it right (being very generous here).

0.99^10 = a 90% chance of the human getting it to work properly. 0.95^10 = only a 60% chance. Almost a coin toss.

Even with 98% success rate, the compounding success rate still goes down to about 81%.

The thing is that LLM's aren't just "a little bit" worse than humans. In comparison they're cavemen.
by harrall | 2025-11-27 17:29:55+00:00
It’s a testament to product planning. It has nothing to do with engineering.

If it’s Photoshop and formally verified and can’t crash but it has only 5 tools, I would be pissed.

If it’s a remote monitoring station with a cool GUI but crashes daily I would be pissed.

Know the product that you are building.
by hypercube33 | 2025-11-27 17:30:04+00:00
Snapdragon does poorly I think because it's a bet if it works or not. Windows runs things seamlessly other than OpenGL (it can run that too but it's not anything strait forward - needs the gl to dx store app thing) but the other reason is cost. for the premium business laptop most buyers (business) won't budge off Intel even because of the "no one got fired for buying IBM" mentality at the big Enterprises Ive been at.

I will say with my 8 gen 3 snapdragon I'm impressed and also disappointed - stupid thing needs active cooling and I'm pretty sure it's bad enough that it's desoldered or damaged the core or something from heat but also you can't get driver updates for the GPU if you wanted because Qualcomm be the way it do.
by RodgerTheGreat | 2025-11-27 17:31:48+00:00
The turtle/tortoise note is correct for UK English, but in the US (where Id software was headquartered during the development of Quake), tortoises are considered a subset of "turtles". Per Webster:

> Turtle (noun): any of an order (Testudines synonym Chelonia) of terrestrial, freshwater, and marine reptiles that have a toothless horny beak and a shell of bony dermal plates usually covered with horny shields enclosing the trunk and into which the head, limbs, and tail usually may be withdrawn.
by olalonde | 2025-11-27 17:31:53+00:00
"Application-specific" doesn't necessarily mean unprogrammable. Bitcoin miners aren't programmable because they don't need to be. TPUs are ASICs for ML and need to be programmable so they can run different models. In theory, you could make an ASIC hardcoded for a specific model, but given how fast models evolve, it probably wouldn't make much economic sense.
by jjtheblunt | 2025-11-27 17:32:25+00:00
i'm using Linux just fine on an ARM desktop for a long time, via Apple Silicon hypervisor enabled via the UTM macos app (which wraps both Qemu, which i don't use, and Apple Silicon hypervisor, which i do use, configurable when instantiating a new image from an iso).

i mention this because perhaps you'd like it too. in my case fedora 43 works just fine, and fast.
by baiac | 2025-11-27 17:32:30+00:00
I have read all comments (there are not that many as of now) and I have not seen a single one defending the Russian government.

There are many comments comparing this censorship to the censorship that other countries are famous for having applied for a long time, and therefore it seems to me that those comments are decrying all kinds of censorship. This is only an issue for those who think censorship is good when it is applied to things they don’t like.
by FilosofumRex | 2025-11-27 17:32:57+00:00
The field Qp of p-adic numbers is complete with respect to the p-adic norm, but is not ordered in the same sense as field of real numbers. It's still uncountable infinite. If there is a sense in which "gaps" or Holes can be introduced without breaking its completeness, that would make it very useful for modeling reality
by O_H_E | 2025-11-27 17:33:46+00:00
There was recently this link talking about AI slop articles on medium

https://rmoff.net/2025/11/25/ai-smells-on-medium/

He doesn't link many examples, but at the end he gives the example of an author pumping out +8 articles in a week across a variety of topics. https://medium.com/@ArkProtocol1

I don't spend time on medium so I don't personally know.
Ask HN: Why do people say LLMs create bad code "quality"?
by chaidhat | 2025-11-27 17:33:51+00:00
Happy Thanksgiving! For context, the only time I've been exposed to "good quality code" was when I interned at a YC startup. I am creating my own startup at the moment. I keep hearing that LLMs create "bad quality code" and wondered what that meant? I've been trying to use Claude Code in the development of my app. If I am the one architecting the functions and services, making sure they are high cohesion loose coupling, abide by service oriented architecture, etc. and only having LLMs implement the functions themselves and not touch the architecture, will this ensure "better code?" What is "good quality code?" Why do LLMs inherently create bad quality code, and what ways should I AVOID using them?

Thank you kindly. Best Chai

Chaidhat Chaimongkol
by nickpp | 2025-11-27 17:34:26+00:00
You just have bureaucrats and politicians doing that instead, securing their comfy jobs and reelection.

The equation is simple: tax one productive member of society 1000 euros - lose 1 vote. Redistribute 100 euro each - win 5 votes. The rest goes towards various government programs implemented by companies owned by friends that can redirect pay the profit in offshore accounts of relatives of said politician.
by lkey | 2025-11-27 17:34:36+00:00
Genuinely sociopathic to happily admit that you used the good faith and labour of others for self-aggrandizement. Doubly so when you lack the social grace and understanding to comprehend how bad you come off in every exchange.

Smiles, exclamations, and faux-interest won't prevent people from noticing you are utterly inconsiderate and self-obsessed. Though they may be too polite to say it to your face.
by everdrive | 2025-11-27 17:34:41+00:00
When video games first started taking advantage of behavioral reward schedules (eg: skinner box stuff such as loot crates & random drops) I noticed it, and would discuss it among friends. We had a colloquial name for the joke and we called them "crack points." (ie, like the drug) For instance, the random drops that happen in a game like Diablo 2 are rewarding in very much the same way that a slot machine is rewarding. There's a variable ratio of reward, and the bit that's addicting is that you don't know whenever next "hit" will be so you just keep pulling the lever (in the case of a slot machine) or doing boss runs. (in the case of Diablo 2)

We were three friends: a psychology major, a recovering addict, and then a third friend with no background for how these sorts of behavioral addictions might work. Our third friend really didn't "get it" on a fundamental level. If any game had anything like a scoreboard, or a reward for input, he'd say "it's crack points!" We'd roll our eyes a bit, but it was clear that he didn't understand that certain reward schedules had a very large effect on behavior, and not everything with some sort of identifiable reward was actually capable of producing behavioral addiction.

I think of this a lot on HN. People on HN will identify some surface similarity, and then blithely comment "see, this is nothing new, you're either misguided or engaged in some moral panic." I'm not sure what the answer is, but if you cannot see how an algorithmic, permanently-scrolling feed differs from people being rude in the old forums, then I'm not sure what would paint the picture for you. They're very different, and just because they might share some core similarity does not actually mean they operate the same way or have the same effects.
by GuB-42 | 2025-11-27 17:34:53+00:00
I wonder how much of it is just Arthur Conon Doyle hating his character. Which has was known for as the stories progressed. He even killed him, just to resurrect him later because of public demand.

He accumulated character flaws along the way, as if Doyle wanted to make Holmes as unsympathetic as he could without changing his core traits.
by pessimizer | 2025-11-27 17:35:06+00:00
Thanks for the links.

That first link shows people actively pulling out GPL code in 2023 and marketing around that fact, though. That's not great evidence that they're not doing it now, especially if testing for if GPL code is still in there seems to be as easy as prompting with an incomplete piece of it.

I'd think that companies could amass a collection of all known GPL code and test for it regularly in order to refine their methods for keeping it out.

> (which it could not do if identifying LGPL code was pulled from the codebase)

Are you sure about this? Linking to LGPL code is fine afaik. And why not train on code that linked to universally available libraries that are legal to use? Seems like one might even prefer it.

Seems like this was rejected for size and slop reasons, not licensing. If the submitter of the PR isn't even fixing possibly hallucinated author's names, it's obvious that they didn't really read it. Debugging vibe coded stuff is like finding an indeterminate number of needles in a haystack.
by drjasonharrison | 2025-11-27 17:35:10+00:00
One problem I've had running a NAS at home is dust. My usual installation location is my pantry, which is where the network enters my apartment. Unfortunately, it is also the same room as my heat pump, so dust can accumulate.

Integrating a dust filter (not necessarily HEPA, but MERV 11) and the required fan upgrades would be wonderful.
by dmezzetti | 2025-11-27 17:36:10+00:00
In some cases, there is risk to doing it yourself (rolling your own authentication scheme). But from a pure learning standpoint, yes people should be encouraged to build even if solutions exist. Perhaps there is a better version we don't know about until it's built.

When it comes to a startup or company project though, it also depends on how much time you spend on something that isn't the core problem.