MurphyA/hacker-news huggingface dataset:
by reliefcrew | 2025-12-03 07:32:02+00:00
I understand what you're driving at but I don't find myself needing such a thing regularly. Perhaps it's because whenever I find myself taking that long to set up a test, I take a step back and rig a harness that eliminates the repetition to speed things along.

That said, if you created a great tool perhaps it could eliminate the need to create a harness each time. However, I still feel this is most likely an instance of so-called "bike shedding".

You ask a good question at the end:

> do most people rely on other methods (Cypress, mocks,

and if you ask that of yourself I think you'll at least be able to narrow the scope of your idea. For example... why don't you just use Selenium to help recreate the test and save the 30-90 minutes? Perhaps this will help you find what the other tools are missing that will help differentiate yours. IDK

In any case, I don't want to discourage you. So, if you still love the idea I suggest you build a simple prototype for yourself. Then, see if you find it especially useful and pass it around for others to evaluate. It could turn out to be the greatest thing since sliced bread, you never know.
by stavros | 2025-12-03 07:32:31+00:00
I keep hearing this non sequitur argument a lot. It's like saying "humans just pick the next work to string together into a sentence, they're not actually dutiful agents". The non sequitur is in assuming that somehow the mechanism of operation dictates the output, which isn't necessarily true.

It's like saying "humans can't be thinking, their brains are just cells that transmit electric impulses". Maybe it's accidentally true that they can't think, but the premise doesn't necessarily logically lead to truth
by mdhb | 2025-12-03 07:32:36+00:00
You’re doing that thing that people sometimes do where they say something incredibly naive but do so in such a confident manner that they imply they are really this enlightened individual and it’s everyone else who’s dumb.

But this idea that you’ve put forth really doesn’t hold up to even the lightest bit of scrutiny when you actually start thinking about what this would look like in reality.
by gynvael | 2025-12-03 07:32:48+00:00
Hi, project lead here :)

We do contact potential authors via email, but it's fully manual. I.e. we do not collect emails in an automated way, nor do we send them out in an automated way - everything is done manually by our Editor-in-Chief and, at times, other team members. Furthermore, we take care to only contact a given person once (I was on the receiving end of hakin9's mass author spamming a few years back, so we take care to not do what they did). Admittedly mistakes can happen here if we're unable to determine that it's actually the same person we've already contacted.

We find folks to contact in several ways. One is that someone from the team read/saw something they think is cool on the Internet - then we try to reach out to the author to ask if they are interested to write something / re-make some blog posts in form of 1-page articles (I personally believe there is value in re-surfacing cool stuff). We also look around in typical spaced where folks publish articles or where such articles surface (social media, aggregating sites, etc) and reach out to some of them.

I don't have exact stats, but a lot of articles come just from our Call for Paper, which we post about on our social media.
by wzdd | 2025-12-03 07:32:58+00:00
If you're 12 years old and it's the family computer (which I suspect was a not-insignificant part of the target market), you've also got to negotiate opening it up and sticking in a circuit board, adding drivers (and thus becoming prime suspect in every subsequent Windows crash), and finding some way of actually vibrating the air, which at the very least involves buying desk speakers and negotiating space on a desk which might not be your own.

Also you don't have $100.
by arjie | 2025-12-03 07:33:07+00:00
I feel the same way. Things used to take so long just to do all the boilerplate. I would frequently get overwhelmed by the fact that I had to write each of the uninteresting parts to get to the interesting parts.

I've recently started using a Chrome extension of my own making[0] that allows me to block and highlight users on Hacker News. I remember trying to do this once a long time ago and it was so much work. I had to learn about the Chrome manifest's possible permissions and I had to format my options page nicely with CSS and I had to learn how to make the extension connect to a web page.

Same with these tools I've built for our family. My wife wanted to be able to give an AI some rough notes and have it polish things up using the notes she already had. She wanted to use ChatGPT. I know the theory about the thing:

* ChatGPT has custom GPTs

* Custom GPTs have Actions that call APIs

* If you have an OpenAPI spec, custom GPTs can understand how to call them

* If you have the HTTPS server, custom GPTs can access the endpoints

Previously, I'd slog through each step one by one. This time, on a day when I was watching my infant daughter, I managed to finish the whole thing fully functioning during a short period that she slept! Eufy Baby iOS app up in the corner of the screen, claude code on the left, ChatGPT in Chrome on the right. Knocked it out in an hour and my wife uses it every day.

Astounding tool. Then yesterday I wanted to print an alternative mount for our baby monitor so I can place it in a specific place. I couldn't find the camera mount STL files anywhere. 15 minutes for my wife to find my calipers, 5 minutes measuring, then untold GPU hours but zero of my time as codex built me a test mount[2] while verifying it against a mesh-contiguity script.

And my wife is a graphic designer, so she iterated on our wedding clothes by using Dall-E to design the ideas she had, polished it up in Adobe CS, and then we got an embroiderer we know to put it on my sherwani[3]. At first I thought that perhaps it was just us engineers who get a lot of value out of these tools, but my wife uses them to design things to make on the Cricut, or to help with stuff to 3d-print on our Bambu, and both of us have used it to come up with modifications to recipes which have had surprisingly decent effect!

Dude, my life is like 10x better, maybe 100x better. Everything I dreamed of is no longer gated by my lack of specific skill. I am only gated out by my taste.

0: https://overmod.org/

1: https://wiki.roshangeorge.dev/w/Blog/2025-10-17/Custom_GPTs

2: https://wiki.roshangeorge.dev/w/Blog/2025-12-01/Grounding_Yo...

3: https://x.com/arjie/status/1855328068883353665?s=20
by bayindirh | 2025-12-03 07:33:12+00:00
IBM is an interesting beast when it comes to business decisions. While I can't give exact details, their business intelligence and ability to predict monetary things is uncannily spot-on at times.

So, when their CEO says that this investment will not pay off, I tend to believe them, because they most probably have the knowledge, insight and data to back that claim, and they have ran the numbers.

Oh, also, please let's not forget that they dabbled in "big AI" before everyone else. Anyone remembers Deep Blue and Watson, the original chatbot backed by big data?
by junon | 2025-12-03 07:33:12+00:00
Here's my anecdotal, completely unfounded theory.

Serif fonts were used in print media for ages but when computers came around sans serif became significantly more popular as no longer was there the legibility concern with dodgy pigment applicators etc.

People started to switch to sans serif fonts more and more and would seek out an alternative to the widely defaulted Times New Roman in early days. They'd open the alphebetically sorted fonts list and what did they see at the top?

Arial.

Keep in mind, when personal computing started out, we didn't have a ton of fonts packaged with the system to start with. Just a handful. Arial has pretty much always been there.
by altmanaltman | 2025-12-03 07:33:57+00:00
Interesting. From my experience, Claude is much better at stuff involving frontend design somehow compared to other models (GPT is pretty bad). Gemini is also good but often the "thinking" mode just adds stuff to my code that I did not ask it to add or modifies stuff to make it "better". It likes to 1 up on the objective a lot which is not great when you're just looking for it to do what you precisely asked it and nothing else.
by neilwilson | 2025-12-03 07:34:11+00:00
I’m going to disagree with the premise. The value in AI won’t come from providing AI but from using it.

The “knowledge cut off date” is 12 to 18 months ago for models, which essentially means that copyright has, in some ways, shrunk to that period since designing around is now very easy.

Given most people live on what they produced recently and not 20 years ago there’s an argument this makes access to knowledge and techniques fairer. Constant new creation is required to obtain a markup and that drives forward productivity

In other words it’s the copyright/patent argument all over again. And it’s perhaps a debate we need to have again as a service society.
by Aperocky | 2025-12-03 07:36:38+00:00
If the moral foundation is that majority of people must perform economically valuable work in order to exchange for their survival, then perhaps it should be broken.

I'm cautiously optimistic because perhaps AGI will find a way to implement it - if it is sentient at that level, then it would be rather difficult to be owned by some person or corporation. Obviously LLMs are very far from there and remains just a tool for now.
by matwood | 2025-12-03 07:37:05+00:00
As others mentioned, 5T isn't money available to NVDA. It could leverage that to buy a TPU company in an all stock deal though.

The bigger issue is that entering a 'race' implies a race to the bottom.

I've noted this before, but one of NVDA's biggest risks is that its primary customers are also technical, also make hardware, also have money, and clearly see NVDA's margin (70% gross!!, 50%+ profit) as something they want to eliminate. Google was first to get there (not a surprise), but Meta is also working on its own hardware along with Amazon.

This isn't a doom post for NVDA the company, but its stock price is riding a knifes edge. Any margin or growth contraction will not be a good day for their stock or the S&P.
by michaelt | 2025-12-03 07:37:06+00:00
When I select 'Japanese' on fonts.google.com the number of fonts drops from 1901 families down to 50. Selecting 'Hiragana and Katakana' raises the number to 81.

That's still a lot of fonts, but it's not 2000. I guess designing a font for a language with 2100 different characters is probably a hassle.
by goku12 | 2025-12-03 07:37:10+00:00
It appears that only cameras that take close up images of the sensor are affected (from the article). Traffic cams and dash cams are too far away to be affected (you can see this in the posted video itself). The self-driving cameras are wide-angle cameras and are not affected. Therefore, they don't really affect other people's property.

And in case you really need to image it up close, the laser operates at NIR (1550 nm). Our eyes are insensitive above 700nm (which is why they don't damage our eyes), so there isn't any point in capturing that wavelength. You can safely filter it out with appropriate hardware filters, without any sort of loss in image quality.

Now there is a question as to why the phone camera captures a wavelength that we don't see anyway. You can see this even with a regular TV remote (or anything similar with an IR emitter). You can't see the signal directly, but they turn up in captured videos with a purple hue. I haven't explored the technical reason for this. But my guess would be that the camera's internal red and blue filters have unwanted secondary transmission peaks at those wavelengths. So adding an extra wideband blocking filter at that wavelength to every camera by default is not a bad idea.

Another thing about the camera that surprises me is that the sensor pixels can be saturated enough to damage it permanently. I think that these pixels are suffering a permanent stuck-at-1 failure here. Sensor saturation is a common phenomenon and results in washed out images. But this is the first time I'm seeing a permanent breakdown. (Also indicates how much I know (or not) about cameras.)

And of course, the biggest question is what can be done with the Lidar optical power output. That is decided by the required signal-to-noise ratio of reflected light at the Lidar input, for an object at the maximum desired distance. There isn't much you can do here since that range is necessary for safety (so that dangers can be detected at far enough distances). Another parameter that can be changed is the laser wavelength. I don't know much about this either, but my guess is that it's limited by the solid state laser technology. I don't know how much freedom is available on that side.
by finaard | 2025-12-03 07:37:17+00:00
We're using OBS for building stuff (and heavily abuse it for the Linux side already) - a few things (like reverse dependency builds) make that more useful that most of the other stuff out there on complex projects. So when the requirement for some Windows builds came along (which are tiny compared to all the other stuff we're doing) we just ended up using WSL to have Windows workers in OBS. Also has some other advantages with how our cmake builds work (short version, developers can do their own bit in visual studio, and then a bit more checks run on CI where we can reuse the usual stuff without caring about Windows)
by elric | 2025-12-03 07:38:27+00:00
Receiving DMARC reports is just as hazardous. I frequently receive spam, phishing, malware, etc on my DMARC reporting addresses. I'm somewhat surprised I haven't seen any zip-bombs in DMARC reports yet.

Rejecting DMARC reports from any sender that doesn't have a correct SPF/DKIM/DMARC setup is the bare minimum.
by DoctorOW | 2025-12-03 07:38:35+00:00
What an exhausting solution to a made-up problem. This is exactly the kind of functionality JS was made to provide. There's a lot more JS in the PDF.js renderer modern browsers, and if you're not using a modern browser it likely wouldn't render at all. As others have pointed out, you're asking restaurants to throw away mobile traffic, screen readers, anyone not on a mainstream desktop browser to save ~20 lines of code in a programming language you don't like.
by itake | 2025-12-03 07:40:45+00:00
probably bias sources but:

- https://finance.yahoo.com/news/almost-20-gen-z-investors-164... - https://www.gemini.com/blog/gemini-survey-finds-more-than-ha...

At the end of the day, investing in an ETF for 10 years isn't going to move the needle much. but catching the right crypto wave will have a larger impact on their life.
by zmgsabst | 2025-12-03 07:41:07+00:00
As many people as were employed as artisans? — are the new jobs on average as good as artisanship?

Or so we displace 9/10 workers to worse or no jobs while 1/10 gets a valuable one?

My understanding of AI is that it’s likely to represent the same 90:10 split — where some people operate those new AI systems, but most people are displaced to intellectual assembly lines. (Or unneeded, entirely.)
by ThomasMidgley | 2025-12-03 07:41:18+00:00
I wish restaurants would just make a homepage with menu _and_ opening hours.

In my area most restaurants have no website.

If they have a website it's often very hard to find their opening hours. Under 'contact'? Nope! At the footer? Nay! Maybe somewhere hidden in the menu PDF? With luck... Outside their homepage at google maps? Maybe. On their Tripadvisor page? Hahaha! Funny! Not.
by arjie | 2025-12-03 07:41:21+00:00
I won't really mind if you'd like to pitch me on another that you're going to print. I paid $27 for print+tax+shipping for that Paged Out Issue #7. I can't cancel it any longer but if you want the $27, I can be convinced by a different online magazine.

Our home color printer is an inkjet, though we have a black and white laser, so it's not as economical for me as it might be for you and I'm happy to do the $27 for a similar 70 or so full-color pages of an equally interesting magazine.
by jillesvangurp | 2025-12-03 07:42:24+00:00
I'm not confused about the acquisition but about the investment. What were the investors thinking? This is an open source development tool with (to date), 0$ of revenue and not even the beginnings of a plan for getting such a thing.

The acquisition makes more sense. A few observations:

- no acquisition amount was announced. That indicates some kind of share swap where the investors change shares for one company into another. Presumably the founder now has some shares in Anthropic and a nice salary and vesting structure that will keep him on board for a while.

- The main investor was Kleiner Perkins. They are also an investor in Anthropic. 100M in the last round, apparently.

Everything else is a loosely buzzword compatible thingy for Anthropic's AI coding thingy and some fresh talent for their team. All good. But it's beside the point. This was an investor bailout. They put in quite a bit of money in Bun with exactly 0 remaining chance of that turning into the next unicorn. Whatever flaky plan there once might have been for revenue that caused them to invest, clearly wasn't happening. So, they liquidated their investment through an acquihire via one of their other investments.

Kind of shocking how easy it was to raise that kind of money with essentially no plan whatsoever for revenue. Where I live (Berlin), you get laughed away by investors (in a quite smug way typically) unless you have a solid plan for making them money. This wouldn't survive initial contact with due diligence. Apparently money still grows on trees in Silicon Valley.

I like Bun and have used it but from where I'm sitting there was no unicorn lurking there, ever.
by EagnaIonat | 2025-12-03 07:42:33+00:00
I read the actual article.

He is pointing out that the current costs to create the data centres means you will never be able to make a profit to cover those costs. $800 Billion just to cover the interest.

OpenAI is already haemorrhaging money and the space data centres has already been debunked. There is even a recent paper that points out that LLMs will never become AGI.

The article also finishes out with some other experts giving the same results.

[edit] Fixed $80 to $800
by anileated | 2025-12-03 07:42:56+00:00
This is not under that “all discussion” because the topic is not the same.

If the title of the thread is ”Microsoft restructuring”, and I care about them becoming for profit, I am not clicking on that thread, the headline is not interesting.

I come here pretty often and have not seen a proper discussion about them becoming for profit in the past month. Last it happened was a whole year ago, and then it was just announced and was not confirmed.

Why is it relevant for the topic of becoming for profit that someone discussed specifically the Microsoft topic recently? Unless the topic of becoming for profit is intentionally kept under wraps.
by gynvael | 2025-12-03 07:43:07+00:00
Hi, project lead here :)

Hah, that's a good point! I realize of course issues with PDFs (I have a dozen or so CVEs in PDF readers like Adobe Reader, Chrome, etc). This said, at the end of the day, there isn't much of a choice to be honest.

Admittedly this is because of where I wanted to go with this zine - i.e. make it printable, give authors the freedom to do whatever on the page (and not have to deal with manual DTP), and make it in a format that is widely supported and not limiting (and both PDF readers and writers are abundant).

Realistically if we wanted to go with a format that has 0 attack surface, it would have to be a headerless RGB pixel stream - but that's hardly usable. INB4: txt files have a greater attack surface than headerless RGB pixel streams, even if not by much (see various ANSI escape code problems over the last 4 decades).

P.S. Oh, and let's remember that demoscene/etc zines back in the days were EXEs ;)
by viking123 | 2025-12-03 07:43:12+00:00
For me it's just that I am too lazy to start switching from my GPT subscription, I use it with codex and it's very good for my use-case. And the price at least here in Asia is not expensive at all for the plus tier. The amount of tokens are so much that I usually cannot even spend the weekly quota, although I use context smartly and know my codebase so I can always point it to right place right away.

I feel like at least for normies if they are familiar with ChatGPT, it might be hard to make them switch especially if they are subscribed.
by wiseowise | 2025-12-03 07:43:32+00:00
I’m not dismissing Java, I’ve spent decades writing it and know what it is capable of, but it is laughable to hear that average Java dev cares more about performance or correctness than Python/JS dev.

All of them explicitly don’t have to care about performance from the start because of VMs + GC, only when scale starts to matter you start to optimize.

Tooling argument is especially funny to me, given how shit tooling ecosystem is. Sure it is ol’ reliable, but average Java dev is so stuck in their ways that they’ve never even tried to dwell out of their Java cave to see what’s out there.

IntelliJ consuming ALL of RAM, literally as much as it can get hands on. Gradle taking what’s left, rebuilds taking minutes to complete or requiring elaborate setup to have proper hot reload. Both TS and Python have far more expressive and powerful type systems than even modern Java. “Production grade tooling” my ass.

Funny to see Java shmucks looking down at JS/Python folks, as if Java at the time wasn’t picked for literally same reasons as Python/JS nowadays.
by simianwords | 2025-12-03 07:44:07+00:00
This is a strange article. AI is the best thing to happen to meritocracy. Previously, knowledge was gatekept. Pretty much everyone has access to ChatGPT in India.

You used to need the privilege of knowing the right people or knowing the right sources. But you don’t need that anymore.

What honestly could be better for meritocracy than AI?
by proc0 | 2025-12-03 07:44:17+00:00
I'm not convinced there is a missing part. It's hard to summarize but to use a metaphor, it's like wanting a self-driving car that crashes sometimes to go faster and faster. The missing piece is just the AI figuring out what it needs to figure out. In theory we're heading towards every single tool becoming obsolete as AI can understand and do more... but that's in theory of course. If scaling LLM transformers does not deliver, then yes perhaps some better tooling will help, but I still think it has some fundamental flaws that in the end are not saving that much time when all the mistakes and corrections are factored in.
by huhkerrf | 2025-12-03 07:45:08+00:00
There have been 70 school shootings (not mass shootings) this year, including accidental discharges. Required caveat that any school gun deaths are too much, etc. etc.

But... this means that a student is significantly more likely to get injured or killed riding in car with their friends, but somehow that was allowed before phones. The school shootings excuse is not a reason to let kids have phones in schools.
by philipallstar | 2025-12-03 07:45:44+00:00
> which is already quite literally more money than any normal person can spend in their entire lifetime

They don't spend it - if you think someone with a net worth of X has that money in cash then you need to go to school.

Even if they did - that's a greedy person's way of thinking. They invest money they do have, which employs people and pushes world R&D forwards.