MurphyA/hacker-news huggingface dataset:
by troupo | 2025-10-24 16:51:54+00:00
This is the correct comment to reply to.

Imagine if you actually read and understood the document instead of pressing on with your ignorance.

The court considered Google Play. And explained how Google Play has the exact dame issues as AppStore. So whatever Google Play is doing is irrelevant to a case against Apple.

It's not a difficult document to read and understand. Just lengthy.

I would quote relevant sections, but that would be a completely wasted effort.

Adieu.
by moritzwarhier | 2025-10-24 16:52:02+00:00
Skipping the part that defines what a "durable" function means is typical Vercel.

It's probably a common async functional programming term that I don't know.

But when "algebraic effects" were all the rage, the people evangelizing them at least cared to explain first in their blog posts.

This one instead straight jumps via AI agents (what does this have to do with TypeScript syntax extensions?) to "installation".

No thanks.

Edit:

I've read the examples after commenting and it's understandable, still explained in a post-hoc way that I really dislike, especially when it comes to a proprietary syntax extension.

Also the examples for their async "steps" look like they are only one step away from assuming that any async function is some special Next.js thing with assumptions about clients and servers, not "just" async functions with some annotation to allow the "use workflow" to do its magic.
by janpio | 2025-10-24 16:52:02+00:00
Ok, then I underestimated your question a bit. Sorry.

In my personal experience (as a PM and working in software development), there are loads of ways to get data already. The bottleneck is processing and understanding that data to come to hypotheses and conclusions.

(Recently with AI there are some product that promise to help with that, but I have no personal revolutionary positive experiences with them.)
by CharlesW | 2025-10-24 16:52:09+00:00
> You responded that this is a "gross overgeneralization of the content of the actual study", but the study appears to back up the original statement.

It doesn't, and the study authors themselves are pretty clear about the limitations. The irony is that current foundation models are pretty good at helping to identify why this study doesn't offer useful general insights into the productivity benefits (or lack of) of AI-assisted development.
by riotnrrd | 2025-10-24 16:52:16+00:00
I used to work at Valve -- on the CS:GO team, no less -- although I left nearly a decade ago. I don't know what prompted this change but I have some suspicions. Even when I was there and the loot box system was new to CS:GO, there were concerns that a lot of trading was happening outside of the marketplace. The trading happened elsewhere because you can't have more than $300 in your Steam wallet (more than this would trigger some banking regulations that Valve wanted to avoid), so anything more valuable than that had to happen on 3rd party sites.

We didn't want this for three reasons: we'd lose out on the marketplace cut (10% of all sales I think?); we didn't want people grinding the game to earn money from rare drops; and finally because 3rd party trading ended up creating a lot of scams and therefore angry players.

At the time, we didn't see any way around it: we couldn't prevent people "gifting" items to each other, and despite omniscience and omnipotence in the game and Marketplace, we weren't confident that we could rejigger the drop rates and rarities to lower the maximum perceived value of the fanciest knife to be under the $300 limit.

I suspect that the CS:GO team finally decided to do something about it and chose this. If the team is anything like I left it, they probably modeled this extensively (we had data on nearly every game ever played in CS:GO and complete Marketplace data), and discussed the change with the TF2 and DOTA teams, who also have to deal with this, and decided that the short-term fury of a small fraction of the playerbase was worth it. I wonder if TF2 and DOTA are having similar problems and, if so, whether this change will be rolled out for those games, too.
by eric-modem | 2025-10-24 16:52:53+00:00
I'm beyond excited to see this as a refugee from esri's products. The only reason I still use anything esri is due to their layout tools. Nightmarish as they are, it's still the best way to print or export a map to pdf. I'd like to see some advances in that area though I would bet money that Jupyter's architecture isn't adequate for those use cases.
by taftster | 2025-10-24 16:53:03+00:00
Ah, how cute. An actual "old school" blog. Nostalgia. Tears in eyes.

https://jyu.dev/blog/

And the production of articles is about right too.

. "Hello World" - The start of something great. [Dec 2024] . "Comparison is the Thief of Joy" - Link to another article. [Apr 2025] . "/dev/null is an ACID compliant database" - Funny, insightful. [Aug 2025]

That read about like my blog 20 years ago.

Funny post though, good read!
by lumost | 2025-10-24 16:53:10+00:00
It does make me wonder whether all of the investment in hot-loading of GPU infrastructure for LLM workloads is portable to databases. 30TB of GPU memory will be roughly 200 B200 cards or roughly 1200 per hour compared to the $240/hour pricing for the CPU based cluster. The GPU cluster would assuredly crush the CPU cluster with a suitable DB given it has 80x the FP32 FLOP capacity. You'd expect the in-memory GPU solution to be cheaper (assuming optimized software) with a 5x growth in GPU memory per card, or today if the workload can be bin-packed efficiently.
by cjbgkagh | 2025-10-24 16:53:14+00:00
The discretion of the validity of pointing out hypocrisy is the core of the issue. I would 100% agree with you if all discussions are purely logical, but they’re not, so I don’t.

The introduction of whataboutism into the lexicon was to counter Russian appeals to hypocrisy. This was linked to Trump in an effort to discredit both. Those of us who have long memories do remember a time when pointing out the hypocrisy of the West was considered a valid thing to do. See the work of Noam Chomsky as an example.
by bigyabai | 2025-10-24 16:54:09+00:00
Alternatively, you can buy a laptop from an OEM that doesn't play keep-away with the Linux upstream using their drivers.

I write lots of Linux software but I have no intention to explicitly support Asahi or Macs whatsoever. Apple's greed is not something I will support with my money or my time, if Apple wants to court the Linux community then they can do it the same way Intel, AMD and Nvidia get along with us. Making your fans reverse-engineer devicetree drivers is just insulting.

Mac hardware is and will be a second-rate Linux experience, which is a shame because Apple could be competing with Nvidia for market share if they simply gave a shit.
by AgentMatrixAI | 2025-10-24 16:54:24+00:00
Reading this makes me sad at how different my generation was compared to the new ones.

I remember when Counterstrike 1.3 came out and everybody at my school were talking about it and playing it. We would line up at computer labs before lunch started, pay a toonie and entire room would crackle with in-game radio comms, AK47 and HE going off with a room full of people side by side excitedly shouting for an hour until lunch was over.

When classes finished we would head back to the lab again and we would play endless round of de_dust 1 & 2, de_rats, fy_iceworld and the occasional as_oilrig and the rush of being the VIP and experiencing my first headshot.

Sometimes the admin running the labs would add fun mods like no gravity and weird stuff....

It was such a memorable and social fun time and it runs in complete contrast to the everything-gambling culture that has taken foothold....
by schainks | 2025-10-24 16:54:44+00:00
There are two actual standards around this (AMI and AMS), but therm "Montessori" is mainly fungible in the day care market.

The difference between these two, from my experience, is HUGE. Certified AMI schools, while a little more rigid in terms of teaching fine motor skills, generally have been better at making my kid more independent at doing things he likes to do. AMS schools are kind of wishy washy by comparison, and my kid was bored and under-engaged.
by dang | 2025-10-24 16:54:47+00:00
Related:

Typst: A Possible LaTeX Replacement - https://news.ycombinator.com/item?id=45393842 - Sept 2025 (384 comments)

I wrote my PhD Thesis in Typst - https://news.ycombinator.com/item?id=44350322 - June 2025 (328 comments)

Typst 0.13 is out now - https://news.ycombinator.com/item?id=43105444 - Feb 2025 (60 comments)

TeX and Typst: Layout Models (2024) - https://news.ycombinator.com/item?id=43032697 - Feb 2025 (38 comments)

Using Pandoc and Typst to Produce PDFs - https://news.ycombinator.com/item?id=42271078 - Nov 2024 (19 comments)

Typst 0.12 is just... better - https://news.ycombinator.com/item?id=41888107 - Oct 2024 (4 comments)

Exploring Typst, a new typesetting system similar to LaTeX - https://news.ycombinator.com/item?id=41821361 - Oct 2024 (235 comments)

Typst: An easy to learn alternative for LaTex - https://news.ycombinator.com/item?id=41014941 - July 2024 (187 comments)

Typst – Compose Papers Faster - https://news.ycombinator.com/item?id=38354422 - Nov 2023 (134 comments)

I rewrote my CV in Typst and I'll never look back - https://news.ycombinator.com/item?id=38047224 - Oct 2023 (25 comments)

Typst: Finally a Solid LaTeX Alternative - https://news.ycombinator.com/item?id=35835703 - May 2023 (3 comments)

Typst, a new markup-based typesetting system, is now open source - https://news.ycombinator.com/item?id=35250210 - March 2023 (146 comments)

Typst: A Programmable Markup Language for Typesetting [pdf] - https://news.ycombinator.com/item?id=34423590 - Jan 2023 (53 comments)

Typst: Compose Papers Faster - https://news.ycombinator.com/item?id=32209794 - July 2022 (30 comments)
by CaptainOfCoit | 2025-10-24 16:54:59+00:00
All transformative inventions and innovations seems to come from similar scenarios like "I was playing around with these things" or "I just met X at lunch and we discussed ...".

I'm wondering how big impact work from home will really have on humanity in general, when so many of our life changing discoveries comes from the odd chance of two specific people happening to be in the same place at some moment in time.
by codyb | 2025-10-24 16:55:14+00:00
Internal corporate tooling can be greatly improved by promoting scheduled "water cooler chat on steroids" calls between engineers/designers/product/tpms/managers and the actual users.

What's nice is that these sessions bleed into everything. You don't need to look through users' eyes that many times to find great improvement in UX sensibilities.

Since scheduling is the biggest pain point here, I just built a scheduler and a signup form at work. Everyone who gets a session walks away with positive feedback, the company as a whole becomes more interconnected, and now I'm working to get more and more folk on board.

My goal is to unleash a whole flotilla of white collar workers who understand the value of talking to the users such that they too push for lightweight, no action item, scheduled sessions which becomes standard practice as part of our careers and we all end up with better software as a whole.
by pessimizer | 2025-10-24 16:55:47+00:00
Middle class people who think of cooking for themselves as a hobby maybe lose the ability to understand labor-saving technical advances. People who cook as a duty think of cutting bread as more work, which it quite obviously is.

If cooking is a hobby for you, you're seeking labor. Maybe that makes the obvious unintelligible. If you're poor and have a bunch of hungry kids waiting, you don't want the cutting board covering up half your counter space while you're carefully trying not to screw up eight slices of bread before something on the stove burns.
by troupo | 2025-10-24 16:55:58+00:00
From time to time I look at the explore page of various AI design tools, and they are as corporate-depressing as I didn't expect them to be [1]. It's not even a bell curve. It feels like they are overindexed on bland corporate aesthetic. Getting them to output anything but a Linear clone is an exercise in frustration.

[1] https://x.com/dmitriid/status/1953750443248562431
by wasitwrongto | 2025-10-24 16:56:13+00:00
A person shouldn't say things like this - re: interviewing with a swizzle stick in one's pocket and confetti in one's hair - if they are a manager:

"George Carlin - Tell the boss (who's the boss)" https://youtube.com/watch?v=p5x7-0mR86A&

I've had to hide laughter in probably almost every interview since learning of this approach to interviewing.

CLI: Clean Language Interviewing: https://en.wikipedia.org/wiki/Clean_language_interviewing

I'm more of a three-hour workweek sort of manager.
by vorpalhex | 2025-10-24 16:56:18+00:00
It depends on your authentic self.

I've known people who were just deeply genuinely nice people. Yeah they can go totally authentic and are entirely welcome. Hell they can invite themselves over for dinner to my house and I'll be happy about it.

My authentic self is sharply sarcastic, critical and at times brutal. My coworkers don't want to deal with that - that's a very chaffing personality especially towards the end of a stressful week and it can very genuinely hurt morale. I very much tone myself down, avoid sarcasm as much as I can, carefully massage critical and direct messaging as best I can and generally try to be aware that the people around me have different communication needs.

And I think people do get a taste of the real person under the facade. I know I get that from my coworkers - I have coworkers who are great coworkers but whose friend I have no interest in being because same thing, their "out of work" authentic self I find off-putting even though they are amazing coworkers.
by doctorpangloss | 2025-10-24 16:56:23+00:00
This is true, there is no detail.

The idea with zero knowledge proofs is that typically, photography metadata is stripped when it’s posted on Facebook. The proof would be a piece of metadata that COULD be safe to share in the SPECIFICS of what it proves. For example there is a circuit that can show that the photo was taken in the United States without leaking the specific location the photo was taken.

Presumably the authenticity scheme here is supposed to be, it answers it was taken on a real camera in a real place, without leaking any of the metadata. They are vague because probably that circuit (proving program and scheme) hasn’t been designed yet.

I also don’t know if it is possible to make useful assertions at all in such a scheme, since authenticity is a collection of facts (for example) and ZK is usually used to specifically make association of related facts harder.
by germinalphrase | 2025-10-24 16:56:26+00:00
Additionally, even schools that label themselves Montessori will have significant differences in how the educational concepts are applied and to what degree. It’s not a regimented approach/program. I only say this to suggest that any parent interested in Montessori schools should definitely visit and ask questions before enrolling your student. Make sure that the experience will align with your expectations.
by bob1029 | 2025-10-24 16:57:03+00:00
Mainframe is still my favorite architecture for F100 use cases. You'll note how your grocery stores, debit cards, gas stations, toll roads, et. al., continued to function ~fine during the AWS outage this week.

The biggest problem with the mainframe conversation is the TCO paradox that it creates. For the average CTO, the prospect of paying IBM millions of dollars up front is absolutely a non-starter. They just can't get beyond this aspect. It doesn't matter if you promise them a genie with unlimited wishes at the end - and this isn't too far off from what you actually get in some cases. The initial sticker shock is simply a bridge too far.

The savings you see only manifest after years of not doing the other things. This kind of savings is usually invisible to the business leaders. You have to make a really big leap of faith and have a lot of good mentors and leaders around you to execute on this kind of architecture. It is also essential to lead the technology people along the path of best practices. I've seen a large corporation justify moving away from mainframe after allowing its employees to load applications on it that are wildly unsuitable for that kind of compute platform. Think things like SalesForce and GitHub Enterprise - "See, it runs like ass and IBM is billing us like crazy! - we need to get off mainframe".
by kragen | 2025-10-24 16:57:07+00:00
To take advantage of zero-copy I/O, which I believe has become much more important since the shift from spinning rust to Flash, I think applications often need to adopt a file format that's amenable to zero-copy access. Examples include Arrow (but not compressed Feather), HDF5, FlatBuffers, Avro, and SBE. A lot of file formats developed during the spinning-rust eon require full parsing before the data in them can be used, which is fine for a 1KB file but suboptimal for a 1GB file.
by logicallee | 2025-10-24 16:57:09+00:00
>Is the breaking functionality fully covered with tests,

Did you have success having AI iterate on code fully covered by tests?

I began to add tests, however, currently I am manually testing after each change. This is because I asked ChatGPT for a research study of best practices for AI development, which it produced here [1]. It suggested:

>Notably, some found that Claude’s first attempt often includes excess or "over-engineered" code. A candid blog post mentioned Claude as a "real master at shitting in the code" if not guided properly – it can "generate a ton of unnecessary code… even when you ask for minimalism, it will slap on a pile of code with useless tests that outsmart themselves and don’t work."

and:

>a developer noted they initially tried having Claude maintain extensive docs and tests for everything, but realized this added too many points of failure (the AI would waste effort updating documentation instead of focusing on code). Over-engineering the process can backfire.

Due to these reasons, I have been testing in a manual way between iterations. (Though I develop using ChatGPT 5 as well as Claude, depending on the task.)

[1] https://chatgpt.com/share/68fbaeea-f528-800b-b090-1bb6b3b2ca...
by Fricken | 2025-10-24 16:57:44+00:00
https://archive.ph/eKAu6

>Sony Pictures describes the movie, which Sorkin is both writing and directing, as a “companion piece” to 2010’s The Social Network. (David Fincher is not returning.) Jeremy Strong is taking over the role of Mark Zuckerberg from Jesse Eisenberg, but the film will reportedly center on Mikey Madison’s Frances Haugen, the whistleblower whose leaks to The Wall Street Journal drew attention to, among other things, the platform’s lack of regulation around anti-vaccine conspiracy theories, its negative impacts on the youths, and Meta’s quiet dismantling of an internal anti-misinformation initiative, which she argued enabled the attack on the U.S. Capitol — hence the J6 reenactment, which will be just one of several threads but certainly adds to the dramatic stakes
by f1shy | 2025-10-24 16:58:09+00:00
In my experience, I would say no. Same as similar approaches (e.g. Waldorfschule)

Once I asked some advocate of the method, what was it exactly; the reply was very good and detailed, but then I pointed out institutes that “follow” the method, which were nothing as what he described. From that point, it was a mess. “Well, you must not absolutely do it that way” “there are variations” etc. I was pretty dissatisfied with the description, and was clear that is not very well defined.
by breakpointalpha | 2025-10-24 16:58:50+00:00
First, people who are banned from online bookies use "horses" or other not-banned players to place bets for them.

Second, the FBI is targeting real world Mafia members, who will typically be the bookies taking action from others. If they know in advance, through blackmail or collusion that an NBA player or coach will throw a game, they can exploit this versus their entire betting pool for massive wins against the suckers placing bets with them.
by devwastaken | 2025-10-24 16:59:00+00:00
nope. we need over 50% efficiency with 30+ years guaranteed lifespan. we have 20% efficiency with at most 10 years with continual maintenance.

Solar installers are low quality, expensive, destroy the roof, and existing utility companies will make you pay to grid tie. you wont save money.

the only time solar is worth it is a non grid tie DIY setup.
by yieldcrv | 2025-10-24 16:59:19+00:00
These are evolutionary dead ends, sorry that I'm not inspired enough to see it any other way, this transformer based direction is good enough

The LLM stack has enough branches of evolution within it for efficiency, agent-based work can power a new industrial revolution specifically around white collar workers on its own, while expanding the self-expression for personal fulfillment for everyone else

Well have fun sir
by hublio | 2025-10-24 16:59:21+00:00
Nice work, thank-you.

Crashes when downloading a PDF. MIDI and MP3 work fine.

MacOS Sonoma. Python 3.13. In a venv.

Downloading PDF... Unexpected error: 4) fileName=<_io.BytesIO object at 0x10791b5b0> identity=[ImageReader@0x107931fd0] cannot identify image file <_io.BytesIO object at 0x10791b5b0> Traceback (most recent call last): File "/Users/user/Projects/py-librescore/venv/lib/python3.13/site-packages/reportlab/lib/utils.py", line 649, in __init__ self._image = self._read_image(self.fp) ~~~~~~~~~~~~~~~~^^^^^^^^^ File "/Users/user/Projects/py-librescore/venv/lib/python3.13/site-packages/reportlab/lib/utils.py", line 666, in _read_image return Image.open(fp) ~~~~~~~~~~^^^^ File "/Users/user/Projects/py-librescore/venv/lib/python3.13/site-packages/PIL/Image.py", line 3560, in open raise UnidentifiedImageError(msg) PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x10791b5b0>
by ACCount37 | 2025-10-24 16:59:52+00:00
People in the industry started saying "oh shit this might be big" at a point between GPT-1 and GPT-2, but there were plenty of naysayers too. It only hit the mainstream with ChatGPT.

Which was also when the capabilities of LLMs became completely impossible to either ignore or excuse as "just matching seen data". But that was, in practice, solvable simply by increasing the copium intake.
by tw04 | 2025-10-24 17:00:24+00:00
We’re supposedly talking about 4 major crime families, it wouldn’t be one McDonalds it would be dozens and dozens. And all legal.

Nothing about this story makes sense other other than as yet another headline to try to get people talking about something other than Epstein.

Did illegal gambling take place? I’m sure. Were 4 different crime families investing significant resources to take home barely $1m/year? I’m extremely skeptical and given this is coming from Kash “I always look like I just did a line of coke” Patel, I’d say it’s more likely than not we’re getting incomplete, if not bad information
by TheRealPomax | 2025-10-24 17:00:43+00:00
tl;dr: AI is built on top of science done by people just "doing research", and transformers took off so hard that those same people now can't do any meaningful, real AI research anymore because everyone only wants to pay for "how to make this one single thing that everyone else is also doing, better" instead of being willing to fund research into literally anything else.

It's like if someone invented the hamburger and every single food outlet decided to only serve hamburgers from that point on, only spending time and money on making the perfect hamburger, rather than spending time and effort on making great meals. Which sounds ludicrously far-fetched, but is exactly what happened here.