MurphyA/hacker-news huggingface dataset:
by lmm | 2025-10-14 07:39:44+00:00
> US employers cannot discriminate against a deaf person and must make reasonable accommodations to make it safe for them to do their job.

> US employers are not legally required to make accommodations for people who simply want to listen to music at work.

So it would be reasonably possible, but since it's not legally required they'd rather make their workers miserable for no benefit, and then complain how difficult it is to hire people?
by ta20240528 | 2025-10-14 07:40:29+00:00
> For example, the CCP has been on a long, intentional path to destroying all international solar manufacturers via subsidies, dumping, etc.

You should see what Microsoft did. Forgetting the corruption the open document format, free/subsidised licences for students is almost the same thing.

Let's rather choose a set of principles and apply them without exception?
by Yoric | 2025-10-14 07:40:47+00:00
All of this is research from the 90s, with a few decades of polish.

Now maybe we could start looking at what research labs have come up with since then.

> Hell, the state the US is in currently is largely explained by the fact that most all the problems in society have been solved to the extent that people have to invent bogeymen and elect a demented felon into office on the promise of solving those problems.

That's... an interesting point. I don't really buy it, though. The same could have been said of the fascist movement in Italy, or the royalists in France in 1905.
by DannyBee | 2025-10-14 07:41:00+00:00
"If the machine shop is so tightly constrained and error-phobic, that sounds like there's very little space of tinkering, exploration or innovation."

This is the opposite of brittle. You say this as if those things are desired here. Those things would be a net negative to a well known production process for complex parts.

After years, that process has been refined to basically the limits of the machines and the physics involved, to optimize cost vs speed.

There is no "tinkering" or "innovation" necessary, and it would be highly detrimental. The experimental part is done until a new machine might provide some benefit (Often this is done by the manufacturer trying to sell them). Then you would test it out on that machine, not fuck up an existing well-running process.

Also - not everything requires improvement or tinkering. Some things are just done. Even if you could make them slightly better, it's not worth the overall cost over time for everyone. Being "better" is not enough, it has to actually be worth being better. Even things that are worth it, if you want customers to use your new thing, you have to support their old thing, even if that's painful or annoying for you.

This is something that lots of ecosystems used to know (fortran is a good example, which is why NETLIB code from the 70's is still in wide use) but some newer ecosystems can't understand.
by atleastoptimal | 2025-10-14 07:45:48+00:00
Humans who repeatedly deny LLM capabilities despite the numerous milestones they've surpassed seem more like stochastic parrots.

The same arguments are always brought up, often short pithy one-liners without much clarification. It seems silly that despite this argument first emerging when LLM's could barely write functional code, now that LLM's have reached gold-medal performance on the IMO, it is still being made with little interrogation into its potential faults, or clarification on the precise boundary of intelligence LLM's will never be able to cross.
by bpye | 2025-10-14 07:45:50+00:00
This seems similar to the UK government taking control, though not ownership, of British Steel earlier in the year [0] as the Chinese owner was expected to shut down their blast furnaces, an action that could not be easily reversed - if possible at all. One difference is that the UK government rushed through new legislation [1] to allow this, vs the Dutch government using powers they have had for decades.

[0] https://www.bbc.com/news/articles/c5y66y40kgpo

[1] https://en.wikipedia.org/wiki/Steel_Industry_(Special_Measur...
by Intermernet | 2025-10-14 07:45:52+00:00
Samsung didn't copy the damn iPhone. This is revisionist history. HTC was on the scene for popular Android smart phones before Samsung, and they also didn't copy the iPhone. Early Nokia Symbian devices were on the scene before HTC and they also didn't copy the iPhone. Touch screen phones were going to happen. Apple made the first, popular one, but they were going to happen.
by Galanwe | 2025-10-14 07:46:10+00:00
> many verticals are simply uninvestable in the US because of labor costs and the gap of cost to manufacture is so large it's not even worth considering.

I think this is covered in a number of papers from think tanks related to the current administration.

The overall plan, as I understood it, is to devalue the dollar while keeping the monetary reserve status. A weaker dollar will make it competitive for foreign countries to manufacture in the US. The problem is that if the dollar weakens, investors will fly away. But the AI boom offsets that.

For now it seems to work: the dollar lost more than 10% year to date, but the AI boom kept investors in the US stock market. The trade agreements will protect the US for a couple years as well. But ultimately it's a time bomb for the population, that will wake up in 10 years with half their present purchasing power, in non dollar terms.
by limoce | 2025-10-14 07:46:19+00:00
> ollama gpt-oss 120b mxfp4 1 94.67 11.66

This is insanely slow given its 200+GB/s memory bandwidth. As a comparison, I've tested GPT OSS 120B on Strix Halo and it obtains 420tps prefill and >40tps decode.
by armitron | 2025-10-14 07:47:54+00:00
As someone who's lived in the UK for years but no longer there (I'm American and currently live in another EU country) it's sad but also quite funny watching the rapid deterioration across multiple domains that has taken place in the last 20 years. At times it seems that the people at the upper strata of politics have completely broken with contemporary reality and went off into a fantasy make-believe space, but don't realize it and keep acting as if that's not the case.
by motorest | 2025-10-14 07:48:20+00:00
> The replies are all a variation of: "You're using it wrong"

I don't know what you are trying to say with your post. I mean, if two persons feed their prompts to an agent and while one is able to reach their goals the other fails to achieve anything, would it be outlandish to suggest one of them is using it right whereas the other is using it wrong? Or do you expect the output to not reflect the input at all?
by aucisson_masque | 2025-10-14 07:48:23+00:00
That's the main reason why I don't like opening my obsidian vault, it takes too damn long to open.

When I want to take a simple note, I'll either open apple note, Google keep, anything that is native because it opens instantly whereas you got to wait like a second for obsidian to open.

1 second is small but also long when you just want to quickly write something and move on.
by sph | 2025-10-14 07:50:11+00:00
> I can't imagine the number of clients I would have lost over the years if I'd had this approach.

Nonsense. I've been consulting for 13 years. The clients that are always late are routinely the most annoying, those that expect the most for the least, and with rates always below the best paying clients. I can already tell from the first interview what kind of client they are, if they balk at the price or try to micromanage time and expenses, I don't even accept the contract.

If a client is always late paying invoices, asks for discounts or expects me to work for free, I drop them. Has worked wonders. I haven't had a late invoice in like 6 years.

(On the other hand I had a client that texted me sorry whenever he was ONE day late, taking time over the weekend to set up the bank transfer, and he was the best client I've ever had. Stayed with them building up their business for 6 years)

It's simple really: I create good solutions on time, you pay for whatever I ask on time. None of this is negotiable in any way. Shit happens, but needs to be communicated clearly and be an exceptional event, otherwise something's gone wrong.
by clumsysmurf | 2025-10-14 07:50:34+00:00
Not only bailouts, but GOP aligned farmers voted for Trump to remove 2024 H-2A visa reforms that addressed abuse of the system (seizing passports, etc).

They didn't want to pay for the H-2A paperwork, but didn't like that undocumented laborers would move from farm to farm depending on conditions.

https://www.youtube.com/watch?v=zdWrHb8b-c0
Ask HN: What do you do while ChatGPT-5 is thinking?
by cuber_messenger | 2025-10-14 07:51:19+00:00
I use ChatGPT-5 Thinking a lot for day-to-day work. I prefer the response quality over speed, so I always pick the longer-thinking model. It takes ~1–5 minutes (often 1–2) to respond, but those short waits are getting increasingly distracting.

I find myself doing something else, and it eventually takes more than the thinking time. Such as right now, it takes me 5 minutes to write this post, and ChatGPT responded like 3 minutes ago.

Does anyone else have the same problem? What do you do during these gaps? :D
by glaucon | 2025-10-14 07:52:27+00:00
At least until such time as his polling stumbles the GOP will do absolutely anything he says. And Trump will do whatever it takes to keep the grease coming in, I really think him turning on the printing presses is a long from the least likely scenario.

Would the GOP have to eat large quantities of excrement, yes. Have they become used to doing that (cf Epstein), yes.
by akvadrako | 2025-10-14 07:52:51+00:00
si_LK is close to your requirements, but uses the comma for thousands. I don't think any locale uses underscore.

number: 12,345.67 date: 2025-10-14 09:45:17 paper: A4 (210×297)

https://lh.2xlibre.net/locale/si_LK/

I personally think en_DK is a better compromise.
by Julien_r2 | 2025-10-14 07:52:51+00:00
I actually hope to find better answers here than on cursor forum where people seems to be basically saying "it's you fault" instead of answering the actual question which is about trust, process, and real world use of agents..

So far it's just reinforcing my feeling that none of this is actually used at scale.. We use AI as relatively dumb companions, let them go wilder on side projects which have loser constraints, and Agent are pure hype (or for very niche use cases)
by pjmlp | 2025-10-14 07:53:00+00:00
Many new languages are still recycling ideas from the 1970's research labs.

Outside affine types, all the praise for Rust's type system traces back to Standard ML from 1976.

The heretic of doing systems programming in GC enabled programming languages (GC in the CS sense, including RC), goes back to research at Xerox PARC, DEC and ETHZ, late 1970's, early 1980's.

Other things that we know, like dependent types, effects, formal proofs, capabilities, linear and affine type systems, are equally a few decades old from 1980's, early 1990's.

Unfortunely while we have progressed, it seems easier to sell stuff like ChatGPT than better ways to approach software development.
by alfiedotwtf | 2025-10-14 07:53:38+00:00
> This is insane!

Not as insane as it was in the early 2000s…

> while link-layer encryption has been standard practice in satellite TV for decades

Before Snowden, I would say 99% of ALL TCP traffic I saw on satellites was in unadulterated plain-text. Web and email mostly.

… the pipe was so fast, you could only pcap if you had a SCSI hard drive!
by goodcanadian | 2025-10-14 07:54:00+00:00
I and most people agree that's it's possibly too high, but it's ignorant to treat it like a scam.

The fact that it is so high is a scam.

It really depends on the grant. For the larger grants, it may work somewhat like you describe. For the smaller grants, they literally do just take 60% of the money (and complain that it is not enough to administer the grant while providing absolutely no support whatsoever). In theory, it's paying for salary and office space and whatnot, but those are already covered by other budgets.
by Tade0 | 2025-10-14 07:54:06+00:00
There's more to that than just ASML, as that company in turn uses specialty lenses produced by Zeiss. Additionally there's crucial American IP (I don't recall what specifically) that goes into those machines, so advanced semiconductor production is more of a global effort really.

Meanwhile China is trying to do all that domestically. They might even pull this off, but just like with their 7nm tech, they're unlikely to be able to do this economically.
by micoti | 2025-10-14 07:54:08+00:00
I have the exact same question, what is hype all about when models can't do simple things. You prompt the model with generate one unit test for function and it somehow always generate more then one. (Just to start with most simple instruction)

I just feel that models are currently not up to speed with experienced engineers where it takes less time to develop something then to instruct model to do it. It is only usefull for boring work.

This is not to say that these tools didn't created oportunities to create new stuff, it is just that the hype overestimates the usefullnes of the tools so they can sell them better just like all other things.
by kykat | 2025-10-14 07:54:34+00:00
Of course the output reflects the input, that's why it's a bad idea to let the LLM run in a loop without constraints, it's simple maths, if something is 99% accurate, after 5 times is 95% accurate, after 10 steps it's about 90% accurate, after 100 times it's about 36% accurate.

For LLMs to be effective, you (or something else) needs to constantly find the errors and fix it.
by Alex_L_Wood | 2025-10-14 07:54:52+00:00
And yours is also "you are using it wrong" in the spirit.

Are they doing the same thing? Are they trying to achieve the same goals, but fail because one is lacking some skill?

One person may be someone who needs a very basic thing like creating a script to batch-rename his files, another one may be trying to do a massive refactoring.

And while the former succeeds, the latter fails. Is it only because someone doesn't know how to use agentic AI, or because agentic AI is simply lacking?
by oskarkk | 2025-10-14 07:55:49+00:00
Any American company could use NASA's designs for reusable rockets... Oh wait, only SpaceX did it. And 10 years after they did it, they're still the only company that did it (not counting New Shepard of course, as it can't put anything into orbit). Are some congressmen forbidding other companies to use their own money to make better rockets?
by LiKao | 2025-10-14 07:56:19+00:00
Just letting the cars set the light would not work for some of the plans with autonomous cars.

Currently with cars you need green-red periods. But some researchers are considering scenarios, where in the future the cars just reserve the intersection for a few seconds and then pass through. That would be a lot of flickering between green and red.

There are scenarios and simulations where they show that we can get a lot more (fuel and time) efficient if we just let cars pass by each other in these reserved time windows. In many of these scenarios cars just go over the intersection at full speed during their reserved time windows.

NOTE: I am just reporting on what I know other researchers are currently investigating and proposing. I am not saying I think this is a good idea. At least I would consider this a security nightmare, because hackers could very easily have cars crashing into each other at full speed. Also I would be very very worried passing through an intersection behind an autonomous car and just trusting that this car not only reserved their window, but also reserved some additional time for me.
by constantcrying | 2025-10-14 07:56:34+00:00
>Common answers to this question will include words like abstraction, performance, convenience, usability etc. The problem with these answers is that apart from the measurable, they are all subjective, aesthetic choices.

That just is not true at all. These are all legitimate engineering tradeoffs, which any serious project has to balance. Calling this "aesthetics" is completely dishonest. These aren't arbitrary categories, these are meaningful distinctions engineers use when evaluating tools to write software. I think the students better understand what programming languages are than the teacher.

If you accept that a programming language is a tool and not just an academic game of terms, then all these questions have clear answers.
by thor-rodrigues | 2025-10-14 07:56:39+00:00
I think what we should really ask ourselves is: “Why do LLM experiences vary so much among developers?”

The simplest explanation would be “You’re using it wrong…”, but I have the impression that this is not the primary reason. (Although, as an AI systems developer myself, you would be surprised by the number of users who simply write “fix this” or “generate the report” and then expect an LLM to correctly produce the complex thing they have in mind.)

It is true that there is an “upper management” hype of trying to push AI into everything as a magic solution for all problems. There is certainly an economic incentive from a business valuation or stock price perspective to do so, and I would say that the general, non-developer public is mostly convinced that AI is actually artificial intelligence, rather than a very sophisticated next-word predictor.

While claiming that an LLM cannot follow a simple instruction sounds, at best, very unlikely, it remains true that these models cannot reliably deliver complex work.
Show HN: Snapdeck – Generating presentation design, not templates
by bigmacfive | 2025-10-14 07:56:51+00:00
Hey HN, I'm Minkyu Lee, co-founder of Snapdeck — https://www.snapdeck.app

I’m a founder from Seoul, South Korea We built Snapdeck because we got tired of spending hours in Keynote or Google Slides tweaking layouts that AI could fix in seconds. Now you can just describe your idea, and Snapdeck generates an entire presentation — designed, formatted, and ready to present.

How it works: - You type a short prompt like “Pitch deck for a coffee startup that focuses on sustainability” - Snapdeck builds a clean, minimal slide deck (titles, visuals, charts, and theme included) - You can edit anything — layouts, charts, images — right inside the app - Export as PDF (and soon PPTX)

Why we built it: As designers and founders, we realized slides haven’t evolved since PowerPoint 2003. Everything is still manual — but storytelling shouldn’t be. We wanted a tool that could think visually, not just fill text into templates.

Tech stack: We’re using a combination of open-source LLMs and custom layout agents. Each “agent” decides how to visualize your content — from layout to color to typography. The orchestration layer is modular, and we’re exploring open-sourcing parts of it soon.

What we learned so far: - People love fast iteration. Designers use it to brainstorm, not just to finish. - Most users don’t want to design — they just want to express ideas visually. - The hardest part isn’t the AI — it’s making users trust that AI can design tastefully.

We’d love your feedback. Try it here → https://www.snapdeck.app

If you want to dig into how we’re handling layout generation or multi-agent orchestration, I’m happy to share details in the comments.

Thanks for reading — and thanks to the HN community for the endless inspiration.
by thelastgallon | 2025-10-14 07:57:11+00:00
Not just both sides, but infinite sides, every country border for anything that crosses the border. Making a pencil might requires dozens to thousands of mining/factories in the pencil supply chain and there is taxation at every level!

Milton Friedman - I, Pencil: https://www.youtube.com/watch?v=67tHtpac5ws and https://thenewinquiry.com/milton-friedmans-pencil/

"Look at this lead pencil. There’s not a single person in the world who could make this pencil. Remarkable statement? Not at all. The wood from which it is made, for all I know, comes from a tree that was cut down in the state of Washington. To cut down that tree, it took a saw. To make the saw, it took steel. To make steel, it took iron ore. This black center—we call it lead but it’s really graphite, compressed graphite—I’m not sure where it comes from, but I think it comes from some mines in South America. This red top up here, this eraser, a bit of rubber, probably comes from Malaya, where the rubber tree isn’t even native! It was imported from South America by some businessmen with the help of the British government. This brass ferrule? [Self-effacing laughter.] I haven’t the slightest idea where it came from. Or the yellow paint! Or the paint that made the black lines. Or the glue that holds it together. Literally thousands of people co-operated to make this pencil. People who don’t speak the same language, who practice different religions, who might hate one another if they ever met! When you go down to the store and buy this pencil, you are in effect trading a few minutes of your time for a few seconds of the time of all those thousands of people. What brought them together and induced them to cooperate to make this pencil? There was no commissar sending … out orders from some central office. It was the magic of the price system: the impersonal operation of prices that brought them together and got them to cooperate, to make this pencil, so you could have it for a trifling sum.

That is why the operation of the free market is so essential. Not only to promote productive efficiency, but even more to foster harmony and peace among the peoples of the world."
by loveparade | 2025-10-14 07:57:16+00:00
I often use that time to spec out a future task. Either by going through Github issues, doing some research and adding details, or by spinning up another codex/claude session to create a detailed design document for a future task and iterating on that. So one agent is coding while another is helping me to spec out future work. So when the coding agent is done I can immediately start on the next task with a proper spec, reducing margin for error.
by bigmacfive | 2025-10-14 07:58:17+00:00
Thanks for checking out Snapdeck! I’m Minkyu, one of the founders (based in Seoul ).

One of the hardest things we faced was teaching LLMs visual composition — not just text. We had to build our own layout agent system that scores composition and color balance, and we’re experimenting with letting multiple agents “vote” on design quality.

If anyone here is curious about the architecture, dataset approach, or layout evaluation logic, I’d love to dive deeper — happy to share more technical details. Also, I’d really appreciate feedback from the HN design and ML folks on where this could go next.
by mschuster91 | 2025-10-14 07:58:30+00:00
> Everybody is a fan of free access and capital markets, until a foreign entity purchases something of importance.

The problem with China is that the "free access" was always one-sided as we did not insist on reciprocity - not for the Internet, not for tourism, not for companies, not for goods.

We gave China everything - we allowed their people to study at our universities, we allowed their tourists, we gave them virtually full access to our economic market, we gave them access to the Internet, we gave them seriously discounted shipping rates and customs exemptions.

And look where that got us. They lock in their population in a way reminding me of the GDR/Stasi era - if you're not an obedient citizen, you don't get permission to travel, everything is subject to surveillance and the one will of the Party -, they use their access to the Internet to steal, hack and run secret police organizations while locking their population behind the Great Firewall, they buy up our companies and shift crucial knowledge back to China. And in the meanwhile, good paying jobs in our countries were lost en masse to China, what used to be high-quality products that would last many years if not decades got replaced by China made ultra cheap junk.