MurphyA/hacker-news huggingface dataset:
by JdeBP | 2025-08-12 19:59:50+00:00
There are "they"s coming up repeatedly in this discussion.

I think that it's important to remember that Debian Hurd is not some massive project with thousands of anonymous people behind it. Like Tribblix and Peter Tribble, Debian Hurd's driving force is someone whom you can name: Samuel Thibault.

And although there are a few others that appear on the debian-hurd mailing list from time to time, it is amply clear that this is one of those (many) projects with a core group of very few dedicated people, with very limited resources for development and testing. There is no many hands making light work, here.

This isn't Debian as you may know it for other kernels. (-:

* https://lists.debian.org/debian-hurd/2025/07/maillist.html

So, in some ways, if microkernels interest you, Debian Hurd is a place to contribute where the ground has yet to be completely trodden.
by m463 | 2025-08-12 20:00:05+00:00
You're talking about systemd right? :)

I suspect that there is a place for elegant systems - they just have to be pragmatic in how they launch.

Start small, do a limited function, or replace an existing limited function, and grow from there.

Thing is, linux is a kernel, but its driver support and hooks into the rest of userspace makes it more than just a kernel. Harder to replace with something more elegant/better.
by const_cast | 2025-08-12 20:00:43+00:00
I think more important than URL shorteners is URL structure. It should work like a directory, where you can intuitively guess what subdirectories there are.

This NYT link is actually pretty good. year/month/day/category/title is pretty nice. The query parameter ruins it, but that's kind of unavoidable if you want a reproducible link with extra data. Usually you can omit query parameters and the URL should still work.
by ikskuh | 2025-08-12 20:01:17+00:00
Creator here.

Please take a look at the gallery, where there are photos of the actual electronics setups!

Also don't the mechanical mockups count as hardware? A pile of jumperwires, breadboards and devices don't make a good hero image, but physical hardware mockups do.

Also the electronics design in its current form is actually iteration 5 of the system, while the OS development started with iteration 2.

The OS does boot on the electrical prototype
by troupo | 2025-08-12 20:01:42+00:00
> How do we reconcile these two comments? I think that's a core question of the industry right now.

We don't. Because there's no hard data: https://dmitriid.com/everything-around-llms-is-still-magical...

And when hard data of any kind does start appearing, it may actually point in a different direction: https://metr.org/blog/2025-07-10-early-2025-ai-experienced-o...

> We need to shift the conversation to techniques, and away from the tools.

No, you're asking to shift the conversation to magical incantation which experts claim work.

What we need to do is shift the conversation to measurements
by FireBeyond | 2025-08-12 20:03:24+00:00
Huh. Where? I work for a company that's not a FAANG but $200B market cap, and what we get through Concur, Spotnana is at most, 5, occasionally 10% below what I see for the same fare class on Expedia. I have never seen anything approaching 20% cheaper, let alone 50%.
by Andoryuuta | 2025-08-12 20:04:07+00:00
> You’ve asked us, “A hundred products is a lot. Can you please be more > prescriptive?” and “Can you make your pricing more straightforward?” > > We heard that feedback loud and clear.

Every single package on the plans page[0]: "Contact Sales". ;)

---

[0]: https://www.cloudflare.com/plans/enterprise/externa/
by troupo | 2025-08-12 20:04:36+00:00
> And every story where it fails is a situation where it had not enough context to see a path to success on.

And you know that because people are actively sharing the projects, code bases, programming languages and approaches they used? Or because your gut feeling is telling you that?

For me, agents failed with enough context, and with not enough context, and succeeded with context, or not enough, and succeeded and failed with and without "guidance and coaching"
by spanishgum | 2025-08-12 20:04:46+00:00
The same way I would with any of my own code - I would test it!

The key here is to spend less time searching, and more time understanding the search result.

I do think the vibe factor is going to bite companies in the long run. I see a lot of vibe code pushed by both junior and senior devs alike, where it's clear not enough time was spent reviewing the product. This behavior is being actively rewarded now, but I do think the attitude around building code as fast as possible will change if impact to production systems becomes realized as a net negative. Time will tell.
by ahartmetz | 2025-08-12 20:05:13+00:00
There are basically two ways to be warm and empathetic in a discussion: just agree (easy, fake) or disagree in the nicest possible way while taking into account the specifics of the question and the personality of the other person (hard, more honest and can be more productive in the long run). I suppose it would take a lot of "capacity" (training, parameters) to do the second option well and so it's not done in this AI race. Also, lots of people probably prefer the first option anyway.
by notahacker | 2025-08-12 20:05:19+00:00
Landing charges levied on each landing usually have a significant weight component (amongst other variable components like emissions, noise, handling and passenger charges) but the relationship usually isn't linear with passenger capacity. Landing slots required at busier airports to have the right to land at a certain time each week are generally traded between airlines with the slot coordinator's agreement with the value of the slot based mainly on the commercial attractiveness of the time slot.
by lgleason | 2025-08-12 20:05:26+00:00
I updated my comment to clarify what I meant by PERM, which is a green card application.

"The H1B visa is a visa for a worker on a position for which a company fails to hire a worker in the US."

The H1B visa application has no requirement to try to recruit US workers which makes it easier to game the system to pay the lowest wage possible.
by godelski | 2025-08-12 20:05:33+00:00
> The biggest nonsense axiom I see in the AI-cult rationalist world is recursive self-improvement.

This is also the weirdest thing and I don't think they even know the assumption they are making. It makes the assumption that there is infinite knowledge to be had. It also ignores the reality that in reality we have exceptionally strong indications that accuracy (truth, knowledge, whatever you want to call it) has exponential growth in complexity. These may be wrong assumptions, but we at least have evidence for them, and much more for the latter. So if objective truth exists, then that intelligence gap is very very different. One way they could be right there is for this to be an S-curve and for us humans to be at the very bottom there. That seems unlikely, though very possible. But they always treat this as linear or exponential as if our understanding to the AI will be like an ant trying to understand us.

The other weird assumption I hear is about how it'll just kill us all. The vast majority of smart people I know are very peaceful. They aren't even seeking power of wealth. They're too busy thinking about things and trying to figure everything out. They're much happier in front of a chalk board than sitting on a yacht. And humans ourselves are incredibly passionate towards other creatures. Maybe we learned this because coalitions are a incredibly powerful thing, but truth is that if I could talk to an ant I'd choose that over laying traps. Really that would be so much easier too! I'd even rather dig a small hole to get them started somewhere else than drive down to the store and do all that. A few shovels in the ground is less work and I'd ask them to not come back and tell others.

Granted, none of this is absolutely certain. It'd be naive to assume that we know! But it seems like these cults are operating on the premise that they do know and that these outcomes are certain. It seems to just be preying on fear and uncertainty. Hell, even Altman does this, ignoring risk and concern of existing systems by shifting focus to "an even greater risk" that he himself is working towards (You can't simultaneously maximize speed and safety). Which, weirdly enough might fulfill their own prophesies. The AI doesn't have to become sentient but if it is trained on lots of writings about how AI turns evil and destroys everyone then isn't that going to make a dumb AI that can't tell fact from fiction more likely to just do those things?
by kearita | 2025-08-12 20:05:42+00:00
Location: Harwood, MD, USA & Chisinau, Moldova

Remote: Yes

Willing to relocate: Yes (preferably in EU)

Technologies: Python, JavaScript, Ruby on Rails, React, FastAPI, AWS S3, Docker, Redis, MariaDB, Azure SQL, HTML/CSS, Git, SnapLogic, DBeaver, SFTP, Node.js, Mapbox, Tilt, Minikube, Semaphore CI/CD

Résumé/CV: Available upon request

Email: kearataylorlopez@gmail.com
by lukan | 2025-08-12 20:05:51+00:00
"Because if it's possible to be more intelligent, why aren't we?"

Because deep abstract thoughts about the nature of the universe and elaborate deep thinking were maybe not as useful while we were chasing lions and buffaloes with a spear?

We just had to be smarter then them. Which included finding out that tools were great. Learning about the habits of the prey and optmize hunting success. Those who were smarter in that capacity had a greater chance of reproducing. Those who just exceeded in thinking likely did not lived that long.
by not_that_d | 2025-08-12 20:07:28+00:00
My experience with the current tools so far:

1. It helps to get me going with new languages, frameworks, utilities or full green field stuff. After that I expend a lot of time parsing the code to understand what it wrote that I kind of "trust" it because it is too tedious but "it works".

2. When working with languages or frameworks that I know, I find it makes me unproductive, the amount of time I spend writing a good enough prompt with the correct context is almost the same or more that if I write the stuff myself and to be honest the solution that it gives me works for this specific case but looks like a junior code with pitfalls that are not that obvious unless you have the experience to know it.

I used it with Typescript, Kotlin, Java and C++, for different scenarios, like websites, ESPHome components (ESP32), backend APIs, node scripts etc.

Botton line: usefull for hobby projects, scripts and to prototypes, but for enterprise level code it is not there.
by xphos | 2025-08-12 20:07:48+00:00
I think LISP is an idea but what about other languages like BQN. Horrible to type but its can represent some really high level algorithms and has a totally different idea on what instructions can be. The idea of having inner and outer products formalized is cool. There are other like it since its more array programming oriented but most seem to write an efficient C impl of a stdlib but an instruction set for them would probably work since its not really about memory allocations but operations on memories.

It's not suited at least it my naive understanding to general purpose computing but it carves its own space.

https://mlochbaum.github.io/BQN/index.html
by brunohaid | 2025-08-12 20:08:44+00:00
Thanks! And: Same. It got much better since the early days of MSFS 2020, and tried picking gear that has solid drivers/good scripting APIs, but I also rarely get it out just for fun, for the same reasons (except the occasional barrel rolls in a TBM over Manhattan cravings). It is great to have for a bunch of practice runs before actually heading to a new airport for the first time though.
by marcosdumay | 2025-08-12 20:09:24+00:00
Well, ok, good point.

There has been people claiming that "their work will stop scaling any time now" for some 12 years. (To be fair, it can't scale forever and seems to have stopped scaling by now.)

That is a hype bubble. I maintain that it's not the bubble the article and everybody is talking about. People are talking about the billions (but the plural doesn't do it justice) running around looking for a return. A lot of their earlier projects weren't even supposed to make a profit.
by robocat | 2025-08-12 20:09:36+00:00
There is no site-wide prohibition - which is obvious since these comments would be prohibited.

There are guidelines and each guideline is mostly loosely encouraged by the community here by downvoting - in effect becoming community standards. However a well written exception can receive upvotes (even though strictly against guidelines) because it is a community and individual judgement mostly gets priority.

Flagging is different because it is a much stronger signal of violation of norms, however it is still mostly a signal from the HN user community.

The moderation balance on HN appears to be quite functional to me (although I'm happy with many guidelines that others fight against).

Just my opinion on the topic.
by pizlonator | 2025-08-12 20:09:46+00:00
I agree that the stated motivation for continuing to keep UB is performance.

I know that this is misguided based on my own perf tests and others’ perf tests.

Also, it’s wrong to say flat out that UB on signed ints is somehow necessary for perf when even a simple perf test shows that it just doesn’t matter, and the optimization it enables is quite obscure.
by el_benhameen | 2025-08-12 20:10:02+00:00
I have definitely noticed this too. I also use the built in swipe to type feature, and it may as well be a coin flip as to whether it gets the word right. I get that swiping is vague, but even a little bit of frequency prediction would tell you that “sounds good” is going to be more likely than “sings hood”. It’s an absolutely infuriating feature.
by jesper-jayaswal | 2025-08-12 20:10:04+00:00
Location: Seattle, WA, US

Remote: Yes (preferred)

Willing to relocate: No

Technologies: SQL, Python, JSL/SAS, Statistical analysis, AI powered analytics

Résumé/CV: https://drive.google.com/file/d/1tt5_vf34oGAVLZTHSKe64XSyNsw...

Email: jesper.jayaswal@gmail.com

About me: Highly accomplished engineer with vast experience working in fast-paced environments in high-tech industry and academia. Expertise includes big data analysis, coding, product engineering, and process engineering. Solid project management skills leading engineering groups and technicians. Exceptional interpersonal skills with a collaborative, open-minded approach. Consistently recognized as easy to work with. Dedicated problem solver with innate ability to keep things moving along smoothly.
by mlhpdx | 2025-08-12 20:11:33+00:00
Lee here, the founder of Proxylity and creator of UDP Gateway. I’ve recently added support for WireGuard, with an eye on being “genuinely serverless”. These listeners are always available and only charge for actual usage (they don’t script the creation of servers you pay for even when not in use). To me this is more than semantics — I believe that this model is what drives innovation best by removing complexity and cost barriers. I want developers to be able to try new approaches to network services with the same enthusiasm as they do for web things.

I’ve personally experienced the frustration that comes with running RADIUS backends, and not having any modern alternatives. I’ve helped teams building IoT backends who were constrained by the narrow and expensive modern options. In short, I think this service is a fit for the innovators of HN and YC.

With the addition of WireGuard we now have a fantastic security protocol that opens the doors to new possibilities. Instead of reinventing protection inside UDP, you can leverage the inherent security of WireGuard. To be clear, this isn’t a VPN — it’s just the protocol protecting the data. Your implementation can be like a VPN or not; whatever your use case demands.

I’d love feedback from other founders on what we have. So far it has more appeal to enterprises, which is nice but not my goal.
by lotsofpulp | 2025-08-12 20:11:45+00:00
>The risk to the father is that he has children with someone who will change and treat him like dirt, leaving him to choose between staying there for his child and being miserable, vs leaving and being financially ruined and potentially unable to move on.

Yes, there are plenty of risks for men, too.

>But it's wild to me to suggest that one in five humans who are male deserve to be Forever Alone.

I did not intend to imply anything about “deserve”. Nature doesn’t really factor in deserving or not deserving. Things just “are”.

>Obviously the "bottom 20%" of women by whatever measure you think determines "worth" should be with their "bottom 20%" male counterparts.

This is going to run contrary to one of the basic tenets of modern society - individual freedom. But again, nature doesn’t care about those ideals.
by joe_the_user | 2025-08-12 20:12:28+00:00
The link I see is to the javascript redirect, which seems to imply someone submitted the javascript redirect. Which is ???

That said, having javascript redirects are a strong indication your site is garbage.

After figuring that out, the article is here: https://www.skeptic.com/michael-shermer-show/is-nuclear-ener...

But it's too a podcast with no transcripts, so nothing I'm interested in.

But I want to say concerning nukes and climate change; nukes may be the greatest thing ever but no new energy is the key to climate change. Solar and wind are already super-cheap and sufficient-with-adjustments for the world's energy needs. But fossil fuels are always going to be better than solar, wind, fission, fusion, antimatter or whatever at SOME things. And so only solution to carbon pollution is forcing an end to fossil fuels through regulation. Though I have little hope for that (or the planet given current trends).
by tombert | 2025-08-12 20:13:39+00:00
Maybe, though what I was trying to get at with my comment still isn't really addressed. It seems like if you're making everything a filesystem and making it so that the OS doesn't care about where the filesystem is, it can be very easy for latency costs to pile up.

I really should properly play with it, but it always seemed to me that it has the potential to add milliseconds of cost to each operation and that could be very slow.
by hirako2000 | 2025-08-12 20:13:39+00:00
Bold claims.

From my experience, even the top models continue to fail delivering correctness on many tasks even with all the details and no ambiguity in the input.

In particular when details are provided, in fact.

I find that with solutions likely to be well oiled in the training data, a well formulated set of *basic* requirements often leads to a zero shot, "a" perfectly valid solution. I say "a" solution because there is still this probability (seed factor) that it will not honour part of the demands.

E.g, build a to-do list app for the browser, persist entries into a hashmap, no duplicate, can edit and delete, responsive design.

I never recall seeing an LLM kick off C++ code out of that. But I also don't recall any LLM succeeding in all these requirements, even though there aren't that many.

It may use a hash set, or even a set for persistence because it avoids duplicates out of the box. And it would even use a hash map to show it used a hashmap but as an intermediary data structure. It would be responsive, but the edit/delete buttons may not show, or may not be functional. Saving the edits may look like it worked, but did not.

The comparison with junior developers is pale. Even a mediocre developer can test its and won't pretend that it works if it doesn't even execute. If a develop lies too many times it would lose trust. We forgive these machines because they are just automatons with a label on it "can make mistakes". We have no resorts to make them speak the truth, they lie by design.
by SilverElfin | 2025-08-12 20:14:05+00:00
This is about the huge dam that China is going to build in occupied Tibet, on the Brahmaputra river, which China calls Yarlung Tsangpo. There are many small and inconsequential dams on this river already (https://en.wikipedia.org/wiki/List_of_dams_on_the_Brahmaputr...) but the new proposed dam (https://en.wikipedia.org/wiki/Medog_Hydropower_Station) is going to be the world’s largest power station and is very far upstream.

This has the potential to be a huge environmental and cultural disaster like the Three Gorges Dam, but it is also a massive security risk for the nations downstream, like India or Bangladesh. Roughly 70% of this river’s waters end up discharging in India, and this is around a third of India’s total freshwater supply as a country. Given Trump’s tariffs against India, which oddly are higher than those on China, I think India is in a tough position where it also wants to build relationships with China. Maybe that means they won’t go to war with China over this issue.

In the end though, this is another nail in the coffin of Tibet unless the world wakes up and does something about it. People forget that Chinese communists took over Tibet by force only around 1950. It’s why the Dalai Lama lives in exile in India even today. This region and Xinjiang should not be part of China and should be freed up, to be independent or maybe autonomous provinces of a trustworthy democracy like India. But leaving these vast lands, and their helpless people, to the whims of the CCP, is a huge injustice.
by kokau | 2025-08-12 20:14:08+00:00
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Curious to hear your thoughts could tools like this replace traditional design agencies?
by DiabloD3 | 2025-08-12 20:14:14+00:00
Nothing really to say, its just like everyone else's inference setups.

Select a model that produces good results, has anywhere from 256k to 1M context (ex: Qwen3-Coder can do 1M), is under one of the acceptable open weights licenses, and run it in llama.cpp.

llama.cpp can split layers between active and MoE, and only load the active ones into vram, leaving the rest of it available for context.

With Qwen3-Coder-30B-A3B, I can use Unsloth's Q4_K_M, consume a mere 784MB of VRAM with the active layers, then consume 27648MB (kv cache) + 3096MB (context) with the kv cache quantized to iq4_nl. This will fit onto a single card with 32GB of VRAM, or slightly spill over on 24GB.

Since I don't personally need that much, I'm not pouring entire projects into it (I know people do this, and more data does not produce better results), I bump it down to 512k context and fit it in 16.0GB, to avoid spill over on my 24GB card. In the event I do need the context, I am always free to enable it.

I do not see a meaningful performance difference between all on the card and MoE sent to RAM while active is on VRAM, its very much a worthwhile option for home inference.

Edit: For completeness sake, 256k context with this configuration is 8.3GB total VRAM, making _very_ budget good inference absolutely possible.
by godelski | 2025-08-12 20:14:34+00:00
I like this approach. Also having dipped my toes in the engineering world (professionally) I think it naturally follows that you should be constantly rechecking your designs. Those tolerances were fine to begin with, but are they now that things have changed? It also makes you think about failure modes. What can make this all come down and if it does what way will it fail? Which is really useful because you can then leverage this to design things to fail in certain ways and now you got a testable hypothesis. It won't create proof, but it at least helps in finding flaws.