MurphyA/hacker-news huggingface dataset:
by bitpush | 2025-06-26 19:29:56+00:00
Read back what you just wrote. It is literally "willy nilly".

"Somethings are because of CEO, and some things are in spite of CEO"

And it was "willy nilly" attributed that enshittification was because of CEO (how do we know? maybe it was CFO, or board) and Gemini because of Demis (how do we know? maybe it was CEO, or CFO, or Demis himself).
by Aloisius | 2025-06-26 19:30:10+00:00
I'm a bit confused about the bit about the "Imports expanded 37.9%, fastest since 2020, and pushed GDP down by nearly 4.7 percentage points" bit.

Presumably when they calculated GDP previously, they hadn't seen quite as much imports, but had seen higher spending, thus they misattributed some of it to domestic products rather than imports, though I'm a bit confused as to how they underestimated imports given everything is declared. Perhaps some changes in the price index?

Though other articles talk about the expected GDP next quarter being higher because they don't expect a surge of imports to continue, which makes no sense to me unless one assumes spending remains the same with or without imports.
by jfengel | 2025-06-26 19:30:32+00:00
I should take some data. I've got enough cats to border crazy-cat-lady territory. I had the impression that they sleep in random positions -- basically, whatever shape they were in when the urge to nap came upon them.

I'll keep an eye on them and see if they have a preference that I'd missed. It won't be all that useful -- if nothing else, the specific preferred sleeping places of my house could have more to do with my layout than any underlying mechanism in the cat. But I'd kinda like to know if there has been something staring me in the face all this time and I just didn't put it together.
by fredfish | 2025-06-26 19:31:13+00:00
An interesting and upbeat article.. But the death rate from overdose went from 9 to 32 per 100000 in the last 2 decades. Using their entrance logic, if I understand what this means afa per annum, couldn't that amount to a few hundred per 100000 who are not cycling into long prison terms because they are dead?

There's been something like 900k excess deaths since 1968 compared to if the rate was just flat since then. That's a lot of people who probably had a much higher chance of incarceration than average even if you only consider drug law and the more recently someone was born the more likely they are to have already overdosed at any given age.
by cyanydeez | 2025-06-26 19:31:56+00:00
Have you looked into OpenSplat type of post-processing? You take a bunch of pictures and then let hardware create a 3d model. It's really competent and could easily create a rectified model for measurements. To get actual values, you'd need some control points, but beyond that, a pipeline that continiously creates models could be feasible.

Then your QC guys are mostly behind computers and rotated to the floor when things are identified.

Ultimately, your VR isn't doing anything more technically accurate than this.
by incomingpain | 2025-06-26 19:32:05+00:00
Having a positive approach is good but this is overly simplified. From my religious point of view, buddhist "right speech" or christian "love thy enemy" aligns greatly but isnt appropriate.

There are cases where hate is the correct thing to do. Take Nick Fuentes. You should simply hate on him as much as possible.

Similarly, hacking groups or cybercriminals should be hated on.

Corrupt politicians should be hated on.

Or worse, the situations where people think they are doing something helpful but in reality causing huge amounts of harms. Censorship of online discussions is a great example of this. Extremely more harm comes from the censorship than it ever prevents.
by modeless | 2025-06-26 19:32:50+00:00
Waymo and DeepMind and the TPU program all predate Sundar as CEO.

IMO Google should have invested more in Waymo and scaled sooner. Instead they partnered with traditional automakers and rideshare companies, sought outside investment, and prioritized a prestige launch in SF over expanding as fast as possible in easier markets.

In other areas they utterly wasted huge initial investments in AR/VR and robotics, remain behind in cloud, and Google X has been a parade of boondoggles (excluding Waymo which, again, predates Sundar and even X itself).

You could also argue that they fumbled AI, literally inventing the transformer architecture but failing at building products. Gemini 2.5 Pro is good, but they started out many years ahead and lost their lead.
by slg | 2025-06-26 19:33:52+00:00
It really depends on the specifics.

From the Wikipedia entry on vertical integration[1]:

>Vertical integration can be desirable because it secures supplies needed by the firm to produce its product and the market needed to sell the product, but it can become undesirable when a firm's actions become anti-competitive and impede free competition in an open marketplace.

...

>A firm may desire such expansion to secure the supplies needed by the firm to produce its product and the market needed to sell the product. Such expansion can become undesirable from a system-wide perspective when it becomes anti-competitive and impede free competition in an open marketplace.

...

>The result is a more efficient business with lower costs and more profits. On the undesirable side, when vertical expansion leads toward monopolistic control of a product or service then regulative action may be required to rectify anti-competitive behavior.

[1] - https://en.wikipedia.org/wiki/Vertical_integration
by mopsi | 2025-06-26 19:35:00+00:00
I recommend looking up European military readiness levels before diving too deep into fantasies. Who is supposed to invade Russia? Latvia, with its tank army of exactly zero tanks? Or a major country like Germany, with its barely 100 operational tanks and enough artillery ammunition for just two days?

Even in Russia, only complete loonies treats this as a plausible scenario. That's why you can see bunkers and anti-tank ditches and defensive lines being built on the European side of the Russian border, and nothing of this sort on the Russian side. They don't even have a basic chain-link fence. Mushroomers sometimes get lost and just walk into Russia.
by ahartmetz | 2025-06-26 19:35:13+00:00
IME, Linux support is often mentioned on the package these days. But you still need to look it up anyway because it's often a vendor source dump for a particular kernel version. Such drivers are often not that good. Notable exception: my Brother printer-scanner-copier has been working fine with its vendor-provided user space driver for ~10 years now. I think it has not been updated for most of that time. It contains 32 bit binaries!
by skissane | 2025-06-26 19:36:11+00:00
The US copyright office’s position is basically this-under US law, copyrightability requires direct human creativity, an automated training process involves no direct human creativity so cannot produce copyright. Now, we all know there is a lot of creative human effort in selecting what data to use as input, tinkering with hyperparameters, etc - but the copyright office’s position is that doesn’t legally count - creative human effort in overseeing an automated process doesn’t change the fact that the automated process itself doesn’t directly involve any human creativity. So the human creativity in model training fails to make the model copyrightable because it is too indirect

By contrast, UK copyright law accepts the “mere sweat of the brow” doctrine, the mere fact you spent money on training is likely sufficient to make its output copyrightable, UK law doesn’t impose the same requirements for a direct human creative contribution
by Tade0 | 2025-06-26 19:36:50+00:00
Physical shape is not the same or even proportional to the ability to pull all-nighters.

I know two men 18 years apart in age who became fathers at the same time - two months apart to be exact. Even though the older is an avid gym-goer, it's only the younger who can pull off popping back into full strength after less than 6h of sleep.
by nighthawk454 | 2025-06-26 19:36:51+00:00
Seems to be a trend away from mean-pooling into a single embedding. But instead of dealing with an embedding per token (lots) you still want to reduce it some. This method seems to cluster token embeddings by random partitioning, mean pool for each partition, and concatenate the resulting into a fixed-length final embedding.

Essentially, full multi vector comparison is challenging performance wise. Tools and performance for single vectors are much better. To compromise, cluster into k chunks and concatenate. Then you can do k-vector comparison at once with single-vector tooling and performance.

Ultimately the fixed length vector comes from having a fixed number of partitions, so this is kind of just k-means style clustering of the token level embeddings.

Presumably a dynamic clustering of the tokens could be even better, though that would leave you with a variable number of embeddings per document.
by npteljes | 2025-06-26 19:37:22+00:00
OP not a publicly established personality, and the website is new too. So, they have a lot to prove, credibility chief among them, especially since the topic is mental health. Users discovering that some of the things are AI generated leads to a thought that maybe more, subtler things are AI generated as well - like the texts on the website. AI output is currently distrusted, and the companies' treatment of the authors of their training material is frequently questioned. So, this way, discovering AI content erodes trust, of which the author didn't have any to begin with - because they are just starting out!

So that is why AI is a deal. Looks-wise they are good, and they fit their context very well. But they do communicate much more than that, and that makes them iffy for many.
by pugworthy | 2025-06-26 19:37:55+00:00
My boy Henry will always choose my right side, tucking under my arm and his head on my chest. Which is him in a "leftward" position then.

He'll work out some kind of arrangement if I'm laying on my left side and he can't lay on his left, but if I'm lying on my back it's always to the right.

It makes you wonder about cat-person compatibility based on the person's preference for how to lie down and the cat's preference.
by jimbokun | 2025-06-26 19:38:03+00:00
> #2 is childcare. Cheap, plentiful, good quality.

This costs infinite money.

It's impossible to scale, because nobody wants an environment where their child is not getting attention from compassionate, engaged adults throughout the day. To get the same level of care as a stay at home parent, you need as many care workers as there are families with young children. And if you pay those workers comparably to the average wage, you need to tax the entire wages of one parent in each family to cover the care costs.

It's probably much cheaper to write checks to families encouraging them to have one parent care for their own children full time.
by _mlbt | 2025-06-26 19:38:03+00:00
Flutter has a lot of issues, it is non-native everywhere, married to Dart which is an even more niche language than Swift, and can have noticeable lag.

At least with Skip your app is completely native on iOS and uses Jetpack Compose on Android.

In my humble opinion, Swift and SwiftUI are better than Kotlin and Jetpack Compose. Also, the important parts of Skip Tools are open source.

https://skip.tools/
by ghostpepper | 2025-06-26 19:38:16+00:00
I also use chatGPT to translate phrases idiomatically and to ask questions about etymology, synonyms, homophones etc. I'm not sure I would want the entire language-learning process to be driven by talking with an AI so maybe I'm not the target audience for this app but these are the places where I think an AI can be uniquely useful in language learning.

I recently discovered www.lingq.com and it's by far the best language learning tool I've tried. The concept is that each learner brings the content they personally want to engage with - so it allows you to import articles, podcasts, and videos and then read them in your target language but translate words you don't recognize on the fly. It tracks the words you know and the ones you are learning automatically, and allows you to test yourself with flashcards based on the words in the content you care about.

This is great because if you just want to read eg. French articles about cybersecurity, you will quickly start to pick up the domain-specific words.

The problem is that the site is quite buggy, and needs a lot of UX/UI polish. I get the sense it's a small team, but they've been around for over a decade and it's still not polished.

I don't want to use an inferior clone of Anki, I just want deep integration with Anki. I want importing content to be as painless as possible, including subscribing to podcasts.

My ideal language-learning tool would be something like LingQ with all the bugs fixed and features implemented, and with AI integrated in the places it makes sense, not as the primary means of engagement with the app.
by 1234letshaveatw | 2025-06-26 19:38:50+00:00
I don't understand US medical schools in the least. My son is interested in medicine, and I have sat through presentations where the admissions officers describe how they pick the student that has the best sob story from dozens of overqualified candidates. Then the poor jerk that is selected will work 20hr days out of med school in residency and finally patients will wait weeks to months to see them because there are not enough physicians (or they will see someone with a foreign degree). How does any of that make sense? Why not admit a couple more kids, stop causing overtired residents to make mistakes and address the shortage?
by imiric | 2025-06-26 19:38:59+00:00
> If you define "hallucinations" to mean "any mistakes at all" then yes, a compiler won't catch them for you.

That's not quite my definition. If we're judging these tools by the same criteria we use to judge human programmers, then mistakes and bugs should be acceptable. I'm fine with this to a certain extent, even though these tools are being marketed as having superhuman abilities. But the problem is that LLMs create an entirely unique class of issues that most humans don't. Using nonexistent APIs is just one symptom of it. Like I mentioned in the comment below, they might hallucinate requirements that were never specified, or fixes for bugs that don't exist, all the while producing code that compiles and runs without errors.

But let's assume that we narrow down the definition of hallucination to usage of nonexistent APIs. Your proposed solution is to feed the error back to the LLM. Great, but can you guarantee that the proposed fix will also not contain hallucinations? As I also mentioned, in most occasions when I've done this the LLM simply produces more hallucinated code, and I get stuck in a neverending loop where the only solution is for me to dig into the code and fix the issue myself. So the LLM simply wastes my time in these cases.

> The new Phoenix.new coding agent actively tests the web applications it is writing using a headless browser

That's great, but can you trust that it will cover all real world usage scenarios, test edge cases and failure scenarios, and do so accurately? Tests are code as well, and it can have the same issues as application code.

I'm sure that we can continue to make these tools more useful by working around these issues and using better adjacent tooling as mitigation. But the fundamental problem of hallucinations still needs to be solved. Mainly because it affects tasks other than code generation, where it's much more difficult to deal with.
by sanusihassan | 2025-06-26 19:38:59+00:00
Translating PDF files without messing up the document's format can be a hassle.

Created this after noticing how most PDF translation tools either ruin the layout or require API keys to use: https://www.pdfequips.com/translate-pdf

The main differentiator is preserving the original formatting while translating text.

Works entirely in-browser, Supports PDFs and Word docs.

Would appreciate any feedback on the implementation.
by missinglugnut | 2025-06-26 19:39:13+00:00
>Meanwhile at trail running meets, I bump into 60 year olds still giving some 35 year olds a run for their money.

Interrupt that 60 year old's sleep twice a night with a newborn crying, add a bunch of new responsibilities, and I'll be impressed if he even makes it to the meet.

You're comparing people who have made exercise their #1 priority in life to people who have made their kids and supporting their families financially their top 2 priorities. It's a bullshit comparison.
by celebdor | 2025-06-26 19:39:20+00:00
All the areas where Catalan is spoken as a mothertongue:

- https://en.wikipedia.org/wiki/Alghero

- https://en.wikipedia.org/wiki/Andorra

- https://en.wikipedia.org/wiki/Balearic_Islands

- https://en.wikipedia.org/wiki/Pyr%C3%A9n%C3%A9es-Orientales

- https://en.wikipedia.org/wiki/Catalonia

- https://en.wikipedia.org/wiki/Valencian_Community

- https://en.wikipedia.org/wiki/Aragon

All of them share the coat of arms of the crown of Aragon: https://en.wikipedia.org/wiki/Coat_of_arms_of_the_Crown_of_A... . Thus using the "four red pallets on a gold background" represents all the speakers in different European countries.
by aDyslecticCrow | 2025-06-26 19:39:51+00:00
Famously, "it's easier to write code than to read it". That goes for humans. So why did we automate the easy part and move the effort over to the hard part?

If we need a human in the loop to check every row of code for the deep logic errors... then we could just get the human to write it no?
by ndndndnd | 2025-06-26 19:40:10+00:00
In my (anecdotal but decades long) experience, psych folks tend to be overconfident in their methods and tools and evidence. As if studies provide ironclad proof that your way is the best and only way to go. That hasn't been my experience at all and it's pretty easy to find a crapton of neurodivergent folks that would agree.

I am biased too but I have endured a lot of anguish putting my faith in psych professionals. The vast majority of progress I've made over the years has come via discussions with other folks like me. But you claim it's unsafe? It's been more effective (and safer) to find my own way.
by a_e_k | 2025-06-26 19:40:30+00:00
This is hilarious. While I work, one of my cats loves to share my desk chair and sleep between me and the backrest (forcing me to sit closer to the front edge). I've noticed she favors lying on her left flank there, and she is, in fact, sleeping behind me like this right now.

(Anecdotal, but +1.)

On the other hand, she's one of a bonded pair and I'll sometimes see her and her sister sleeping curled next to each other with more varied chirality. Maybe a trusted friend outweighs this effect?
by tolerance | 2025-06-26 19:41:21+00:00
This conversation reads (and sounds) like a two-hand touch play on Firing Line.

I wonder what we'd learn if both men spoke exactly how they felt about the issues that were raised, and treated each other in a way that reflected these feelings.

But I know that would preclude the ironic hand-holding bow at the waist that the exchange ends with.

It was nonetheless interesting.
by apt-apt-apt-apt | 2025-06-26 19:41:29+00:00
They say 'leftward sleeping position would provide a fast left visual field', while showing a cat sleeping on its left side, with its right eye having the best view (left eye with a bad view).

Clearly, there is a contradiction. What's mystifying is that the authors seemingly spent lots of time on this exact directionality concept, yet put this contradiction in.
by lotharcable | 2025-06-26 19:42:04+00:00
OCI image repositories are pretty ubiquitous nowadays and are trivial to setup.

I am sure that a lot of people have them deployed and don't even realize it. If you are using Gitea, Gitlab, Github, or any of their major forks/variations of you probably already have a place to put your images.

So I really don't know what the advantage of 'single file distribution model' is here.

This is probably why people don't bother sharing tarballs of docker images with one another even though it is has been a option this entire time.
by skissane | 2025-06-26 19:42:28+00:00
The problem is, can you demonstrate that originality of selection and arrangement actually survives in the trained model? It is legally doubtful.

Nobody knows for sure what the legal answer is, because the question hasn’t been considered by a court - but the consensus of expert legal opinion is copyrightability of models is doubtful under US law, and the kind of argument you make isn’t strong enough to change that. As I said, different case for UK law, nobody really needs your argument there because model weights likely are copyrightable in the UK already
by ben_w | 2025-06-26 19:42:38+00:00
> The LLM work sounds dumb, and the suggestion that it made "a qr code generator" is disingenuous. The LLM barely did a frontend for it. Barely.

Yes, and?

The goal wasn't "write me a QR library" it was "here's my pain point, solve it".

> It sounds like the author payed for `npm install`, and thinks he's on top of things and being smart.

I can put this another way if you prefer:

Running `npm install qrious`: trivial. Knowing qrious exists and how to integrate it into a page: expensive.

https://www.snopes.com/fact-check/know-where-man/

> > Built with Aider and either Sonnet 3.5 or Gemini 2.5 Pro

> Paid tools.

I get Sonnet 4 for free at https://claude.ai — I know version numbers are weird in this domain, but I kinda expect that means Sonnet 3.5 was free at some point? Was it not? I mean, 3.7 is also a smaller version number but listed as "pro", so IDK…

Also I get Gemini 2.5 Pro for free at https://aistudio.google.com

Just out of curiosity, I've just tried using Gemini 2.5 Pro (for free) myself to try this. The result points to a CDN of qrcodejs, which I assume is this, but don't know my JS libraries so can't confirm this isn't just two different ones with the same name: https://github.com/davidshimjs/qrcodejs

My biggest issue with this kind of thing in coding is the same as my problem with libraries in general: you're responsible for the result even if you don't read what the library (/AI) is doing. So, I expect some future equivalent of the npm left-pad incident — memetic monoculture, lots of things fail at the same time.
by o7ri6246iu45 | 2025-06-26 19:43:06+00:00
there generally is no central shared immutable image store because every job is using its own collection of images.

what you're describing might work well for a small team, but when you have a few hundred to thousand researchers sharing the cluster, very few of those layers are actually shared between jobs

even with a handful of users, most of these container images get fat at the python package installation layer, and that layer is one of the most frequently changed layers, and is frequently only used for a single job
by badsectoracula | 2025-06-26 19:43:42+00:00
For the same reason GenAI output isn't copyrightable regardless of how much time you spend tweaking your prompts.

Also i'm pretty sure none of the AI companies would really want to touch the concept of having the copyright of source data affect the weight's own copyright, considering all of them pretty much hoover up the entire Internet without caring about those copyrights (and IMO trying to claim that they should be able to ignore the copyrights of training data and also that the GenAI output is not under copyright but at the same trying trying to claim copyright for the weights is dishonest, if not outright leechy).