MurphyA/hacker-news huggingface dataset:
by fuzzfactor | 2025-11-06 18:26:24+00:00
>People who had good things happen and got lucky get more optimistic

Well there's the old story about the lonely mountain blacksmith from hillbilly times who was hard at work one day, when the beautiful widow from the next mountain over came in and wanted him to fix her broken iron. You know, the kind they had before electricity. So he dropped everything and got right to working on it, and was proud to make it better than new in only about 15 minutes.

She was very thankful, gave him a big smile and then he asked her if it would be OK if he called on her real soon. The only thing is, he was a strong-hearted gentleman, but not very tall, less than 5 feet. And she was a statuesque beauty, just over 6 feet tall. But she was agreeable right away, and he said "How about a kiss good-bye right now?", she nodded and he jumped right up on top of his anvil, gave her a big hug and kiss and there was some excitement between them.

Looking straight into her eyes he then tells her she doesn't have to leave so soon, and they can go out in back and pick some fresh flowers on a wonderful spring day, to take home with her. The hard work can wait for a little while.

It is very romantic and they stroll around for a few minutes until they come to the spot where the roses are growing, then he asks her for another kiss. She was too bashful this time, and said that once was enough for their first meeting, but she was looking forward to having him visit. He said "I understand, but if there's not gonna be any more kissin', I think I'll put this anvil down."
by godelski | 2025-11-06 18:26:30+00:00
> but why would you render to a low-resolution 2D buffer with random character-hacks

Have you used a terminal in the last 5 years? We got graphics and everything now[0]

> huge amount of overhead

A... terminal... with... large overhead? Surely you're joking. Have you met any gui app? Microsoft word takes a few gigs. Have you seen electron apps like Spotify or slack? My fucking mail client takes over half a gig and neomutt takes almost nothing.

Either you're making numbers up or we live in different realities

> actual hardware acceleration?

Hardware acceleration has existed for years...

Maybe stop making assumptions and check out what terminals can do. They've come a long way since the 80's. I'd suggest starting with something like ghostty.

[0] https://notcurses.com/
Show HN: TabPFN-2.5 – SOTA foundation model for tabular data
by onasta | 2025-11-06 18:26:53+00:00
I am excited to announce the release of TabPFN-2.5, our tabular foundation model that now scales to datasets of up to 50,000 samples and 2,000 features - a 5x increase from TabPFN v2, published in the Nature journal earlier this year. TabPFN-2.5 delivers state-of-the-art predictions in one forward pass without hyperparameter tuning across classification and regression tasks.

What’s new in 2.5: TabPFN-2.5 maintains the core approach of v2 - a pretrained transformer trained on more than hundred million synthetic datasets to perform in-context learning and output a predictive distribution for the test data. It natively supports missing values, cateogrical features, text and numerical features is robust to outliers and uninformative features.

The major improvements:

- 5x scale increase: Now handles 50,000 samples × 2,000 features (up from 10,000 × 500 in v2)

- SOTA performance: TabPFN-2.5 outperforms tuned tree-based methods and matches the performance of a complex ensemble (AutoGluon 1.4), that itself includes TabPFN v2, tuned for 4 hours. Tuning the model improves performance, outperforming AutoGluon 1.4 for regression tasks.

- Rebuilt API: New REST interface along with Python SDK with dedicated fit & predict endpoints, making deployment and integration more developer-friendly

- A distillation engine that converts TabPFN-2.5 into a compact MLP or tree ensemble while preserving accuracy and offer low latency inference.

There are still some limitations. The model is designed for datasets up to 50K samples. It can handle larger datasets but that hasn’t been our focus with TabPFN-2.5. The distillation engine is not yet available through the API but only through licenses (though we do show the performance in the model report).

We’re actively working on removing these limitations and intend to release newer models focused on context reasoning, causal inference, graph networks, larger data and time-series. TabPFN-2.5 is available via API and a package on Hugging Face. Would love for you to try it and give us your feedback!

Model report: https://priorlabs.ai/technical-reports/tabpfn-2-5-model-repo...

Package: https://github.com/PriorLabs/TabPFN

Client: https://github.com/PriorLabs/tabpfn-client

Docs: https://docs.priorlabs.ai/quickstart
by riku_iki | 2025-11-06 18:27:04+00:00
> If there are any such loan guarantees (which is very likely), they'll be for AI investments in the US in general, so, for example, Anthropic and Google will also benefit (and probably Nvidia, AMD, Intel, Oracle, Amazon, Meta, etc).

so, if we say there is AI bubble, now whole sector of ultrarich will rob taxpayers, not just single controversial company.
by mmooss | 2025-11-06 18:27:07+00:00
There are many mechanisms, widely used, to aggregate information from many sources into a profile of you, and using your IP as an identifier isn't hard. Many lawsuits find their targets based on IP addresses, for example.

> easily obscured with a VPN

I think we can expect that commercial VPNs are compromised, at least by intelligence services. Imagine you opened a bar and advertised, 'dissidents come here to drink in privacy'. I'm sure you'd attract others too to an obviously target-rich environment.
by hirvi74 | 2025-11-06 18:27:22+00:00
I absolutely love Swift. I understand some may disagree, and perhaps many of their arguments are quite valid. However, no language is perfect, and I just feel like Swift has some features that shows that a lot of thought was put into some features -- not to disrespect any other languages.

Considering the static typing, guard statements, protocols, lack of ++/-- operators (Lattner's argument was convincing), let/var, being able to make function parameters immutable, being able to lock symbols down to the file level, easy integration with c languages, etc..

I have not used SwiftUI, so I cannot judge it, but I do not think any issues with it are compelling arguments against Swift as a language (that I have read).

Lattner is my modern-age programming-hero. I'm glad to see FreeBSD will be able to share the love soon enough.
by Uehreka | 2025-11-06 18:27:47+00:00
If I understand transformers properly, this is unlikely to work. The whole point of “Large” Language Models is that you primarily make them better by making them larger, and when you do so, they get better at both general and specific tasks (so there isn’t a way to sacrifice generality but keep specific skills when training a small models).

I know a lot of people want this (Apple really really wants this and is pouring money into it) but just because we want something doesn’t mean it will happen, especially if it goes against the main idea behind the current AI wave.

I’d love to be wrong about this, but I’m pretty sure this is at least mostly right.
by b112 | 2025-11-06 18:27:55+00:00
I see the French have been very busy with articles such as this.

Clearly an attempt to take the shine off of "that sub language english" which keeps pestering their ears.

From what I was repeatedly taught by my English, english teacher, all the latin loanwords came from when the Romans were hanging around the Isles. "They left more than walls!", she'd say.

Take care now, lest her ghost rise from the grave to correct your slanders against her beloved english.
by zkmon | 2025-11-06 18:28:51+00:00
In excitement over the cool-looking visualizations, we lose the sight of its usefulness. The entire article hardly has any text talking about how these visualization would be useful and to whom.

Even if this is an ask from a top-level managers hoping that it would help their decision-making, let me tell you that, this will be binned after everyone agrees that the visualizations are very cool. Decisions are driven by other factors.
by orwin | 2025-11-06 18:29:49+00:00
I think we have like 5 words left from Gaul in modern french (only one I know is 'talus'). Old central French was mostly vulgar latin+frankish, with a bit of Gaulish and Arabic, then Gaulish was traded for latin and greek forcibly thanks to the french 'Academie' that made central/Parisian french the only french, and we lost a lot (a _lot_) of words. What's funny is that English, beside Normand french, borrowed a lot from French before that,and we borrowed those words back, with a different meaning, or sometimes a similar one.
by pcrh | 2025-11-06 18:29:56+00:00
La Chanson de Roland (The Song of Roland) is dated to between 1129 and 1165. It resembles modern French much more than Beowulf resembles modern English. Few English speakers today could read Beowulf.

https://en.wikipedia.org/wiki/Song_of_Roland

https://fr.wikipedia.org/wiki/Chanson_de_Roland
by thewebguyd | 2025-11-06 18:30:09+00:00
The story of Microsoft's stack in a nutshell and why everyone is still so dependent on it. Migration is hard, and it only gets harder the longer you've built yourself on top of a particular technology.

Microsoft offered what basically amounted to "IT in a box." You got identity, email/groupware, an office suite, and an OS that ran on just about any IBM compatible PC and your own servers. You paid for the license, and then you controlled and hosted it after that. Microsoft was content to let you do whatever the hell you wanted with their software, and stuck to their promise to not break shit (backward compatibility for Win32).

That everything is now cloud hosted and stuffed with telemetry was a big rug pull, but it's not like everyone could just up and migrate to something else (and what else, for that matter, there's not much out there that matches). It was literally just this year that on-prem exchange support ended for the one-time purchase license, but even then on-prem is still available via subscription.

Microsoft gave every incentive in the world to get enterprises to stick with their stack, and it worked, so it's no wonder people are just now starting to panic a little and look for alternatives.
by afavour | 2025-11-06 18:30:25+00:00
Chicken/egg, I think. There was a burst of activity of Swift on the server a few years ago and frameworks like Vapor seem like they’re still pretty active:

https://vapor.codes/

But I think “why” remains a valid question when you could make a safe pick like Node, Python etc. I really like Swift as a language but I’d still struggle to justify using it outside of iOS.
Ask HN: What's the prototyping workflow at your company?
by el_benhameen | 2025-11-06 18:31:00+00:00
I’ve been reading that a lot of companies are pushing PMs to get into code to prototype using replit/cursor/etc. I’m curious whether the folks doing this create one-off prototypes that then get discarded when it gets to dev, or if there’s some attempt to hand the prototype off to dev or an ai tool for refinement before it goes out (or if your PMs actually push features?). Or maybe I’m missing another workflow entirely. I’d be interested to hear what people are doing.
by dkural | 2025-11-06 18:31:00+00:00
I am arguing against Searle's Chinese Room argument, I am not positing that LLMs are minds. I am specifically refuting that your brain and the Chinese room can be both subject to the same reductionist argument Searle uses - if we accept, as you say, that you are a mind inside a body, which neuron, or atom does this mind reside in? My point is, if you accept Searle's argument, you have to accept it for brains, including your brain, as well.

Now, separately, you are precisely the type of closet dualist I speak of. You say that you are a mind inside a body, but you have no way of knowing that others have minds -- take this to it's full conclusion: You have no way of knowing that you have a "mind" either. You feel like you do, as a biological assembly (which is what you are). Either way you believe in some sort of body-mind dualism, without realizing. Minds are not inside of bodies. What you call a mind is a potential emergent phenomenon of a brain. (potential - because brains get injured etc.).
by kulahan | 2025-11-06 18:31:01+00:00
On nettles, they're trichomes[1]. Probably somewhat similar to a skin tag? So it deactivates them by weakening the cell wall, just like when you cook the rest of the plant down.

>Both trichomes and root hairs [...] are lateral outgrowths of a single cell of the epidermal layer.

[1]https://en.wikipedia.org/wiki/Trichome
Show HN: What Is Hacker News Working On?
by eamag | 2025-11-06 18:31:06+00:00
I tagged all comments from "What Are You Working On?" (like https://news.ycombinator.com/item?id=45561428) posts and built a simple SvelteKit website, hope it's helpful to find people with similar projects. I'm also thinking of adding some analysis of project types over time to see changes in tech
by thisislife2 | 2025-11-06 18:31:41+00:00
I don't obsess so much about food now a days because apparently that's also a slippery slope that can develop to an eating disorder ( orthorexia - see https://www.bu.edu/articles/2013/when-healthy-eating-becomes... ). I however do understand your concern and I think one of the reason why we may be having a difference of opinion on this is because of culture - as an indian, my diet is quite different from a western one, and some of you may indeed require to change your diet to incorporate more fibre rich food or even supplements. My mode of monitoring my fibre intake is to just observe my poop - if it's too hard, there's too much fibre in the diet, and if it's too soft, there's less fibre. Eating a balanced diet, maintaining my weight, exercising, and adjusting my diet as per my annual health check-up is the routine I've adopted now (e.g., I've added chicken liver to my diet this year on the advise of my doctor because some vitamin level was borderline).
by tharne | 2025-11-06 18:31:44+00:00
This is not a U.S. specific issue. Once you strip away all of the formalities, titles, and ceremonies, you'll realize there's no such thing as international law, at least not in any meaningful sense of the word.

The law, by definition is a rule backed up by the use of force, specifically state-sanctioned violence. If you write a law but do not have the ability to use a sufficient amount violence to enforce it when needed, you don't have a law at all, you just have a suggestion around how you'd like people and countries to behave.

The only way you could ever have anything resembling "international law", would be to have some sort of global military or police force capable of exerting enough violence to ensure that the law is followed, and I'm not even sure how such a thing would work.
by 1vuio0pswjnm7 | 2025-11-06 18:32:02+00:00
Definition of "histories"

Records of every URL submitted and accessed by a given IP address+browser fingerprint^1

1. Archive.today sites use a form of "pixel tracking" to collect IP addresses via popular graphical browsers, the ones that are required to be used to solve CAPTCHAs, that automatically request URLs in HTML tags with the "src" attribute, e.g., "img" tags

2. Archive.today sites serve CAPTCHAs to some users^3 which force them to enable Javascript and share browser information

3. For example, those users not using or appearing to use popular graphical browsers
by prerok | 2025-11-06 18:32:08+00:00
I have not read the linguist's essay, just the article, but I am almost certain the claims are preposterous.

The article already mentions that the structure is definitely germanic in origin. Next are the words. Some are adopted from other languages, but many more have roots in Germanic and Latin. The reason is that Romans invaded Britain some 2000 years ago. Afterwards, Latin was spoken in learned circles until the renaissance and even later.

When French became the language of diplomacy, IIRC at the time of Napoleon, only that's when French became a language of note. That's when the "sofisticated" words like veal, venison etc. enter the English language.

But, even all that aside, my native language is Slavic. I speak both English and German, and a very little bit of French. In my limited personal view, German and English have much more in common than French and English.
by Etherlord87 | 2025-11-06 18:32:10+00:00
People publish stuff on the Internet for various reasons. Sometimes they want to share information, but if the information is shared, they want to be *attributed* as the authors.

> If you didn't want others to read your information you shouldn't have published it on the internet. That's all they're doing at the end of the day, reading it. They're not publishing it as their own, they just used publicly available data to train a model.

There is some nuance here that you fail to notice or you pretend you don't see it :D I can't copy-paste a computer program and resell it without a license. I can't say "Oh I've just read the bits, learned from it and based on this knowledge I created my own computer program that looks exactly the same except the author name is different in the »About...« section" - clearly, some reason has to be used to differentiate reading-learning-creating from simply copying...

What if instead of copy-pasting the digital code, you print it onto a film, pass the light through the film onto ants, make the light kill the ants exposed, and the rest of the ants eventually go away, and now use the dead ants as another film to somehow convert that back to digital data. You can now argue you didn't copy, you taught ants, the ants learned, and they created a new program. But you will fool no one. AI models don't actually learn, they are a different way the data is stored. I think when court decides if a use is fair and transformative enough, it investigates how much effort was put into this transformation: there was a lot of effort put into creating the AI, but once it was created, the effort put into any single work is nearly null, just the electricity, bandwidth, storage.
by wavemode | 2025-11-06 18:32:23+00:00
> Anyways, OpenAI is not in profit-seeking mode, and there's no economic incentives to do so right now.

You disparaged the article, but then immediately agreed with its main point. The fact that there is no economic incentive for OpenAI to run sustainably is a problem. It means they will happily continue to spend trillions of investor, lender, and (soon) government money, most of which is being burned as waste heat radiating from GPUs, in pursuit of an AGI pipedream.
by sfn42 | 2025-11-06 18:32:49+00:00
I don't have any vested interest. I'm just a guy. Don't work on AI, don't use AI much in my day job.

I just legitimately think the outrage is unreasonable. It is completely infeasible for AI companies to provide any meaningful amount of compensation to all the data sources they use.

Alternatively they could just not use any of the data, in which case we wouldn't have as good LLMs and other than that the world would be exactly the same. These data owners don't notice any difference. Using their data doesn't harm them in any way.

You seem to be arguing that enabling people to mimic Ghibli's art style somehow harms them, I don't see how it does at all. People have been able to mimic it already, what's the difference? More people can? Does that make a difference to ghibli? I mean can you point to some concrete negative effects that his phenomenon has had on studio ghibli?

I don't think you can. And I think that proves my point. Anything can be mimicked. People can play covers of songs, paint their own versions of famous paintings, copy Louis Vuitton bag designs, whatever they want. The effort it takes is irrelevant.

You don't even have to train AI on studio Ghibli's art to mimic it. You could just train it on other stuff and then the user could feed it studio ghibli art and tell it to mimic it. The specific training data itself is irrelevant, it's the volume of data that trains the models. Even if they specifically avoided training on studio Ghibli's art there would likely be basically no difference. It wouldn't be worth paying them for it.
by matt-p | 2025-11-06 18:33:05+00:00
I mean on that site you also have clouvider who are cheaper $423.79/mo for 72TB including bandwidth, compute and two extra boot SSDs. I just searched by a minimum disk size of 12TB.

Colo will be cheaper I'm sure but it's fundamentally a different comparison you have to pay for drive failures, networking, bandwidth, remote hands, network switches and so on and so forth.
by saurik | 2025-11-06 18:33:07+00:00
How does the timeout help? Expose the lack of progress to the user and give them a way to give up; if they choose to walk away, then you stop. The only timeout should be in the head of a human that can make real decisions about how long too long is. The real problem: me knowing that if the software would have waited a bit longer, it would have worked. Your timeouts just cause more busy work and are often the root cause of snowball effects.
by graemep | 2025-11-06 18:33:26+00:00
That is a lot cheaper than it would cost in a developed country, but is not more affordable.

For example, that would cost about three times as much in the UK but median income is about an order of magnitude higher so its more affordable.

I do realise it is a lot more affordable than telecoms were in the past, but its something like a day of median income.
Show HN: Ito AI, open source smart dictation
by dumbfoundded | 2025-11-06 18:34:20+00:00
Hey HN, I’m Evan, cofounder and CTO of Ito AI.

Ito is a voice to intent app that turns what you say into structured text: notes, messages, code, or any text field you’re working in. It’s designed to feel fast, clean, and distraction free. It works on Windows and Mac.

Most speech tools are either locked inside closed systems or overly complicated & overly parameterized and difficult to setup. We wanted something that works like a native app, looks good, and stays transparent about your data. Ito is open-source under GPL-3.

Our focus is simplicity and polish. You can use a few different models and providers but we're still working on an entirely local first experience. It's also pretty easy to host yourself if you want to avoid our infra all together.

We’re still early, but it’s already stable enough that I use it daily for coding notes, writing, and quick thoughts between tasks.

Try it here: https://ito.ai

Code: https://github.com/heyito/ito

Would love feedback, critiques, and ideas for integrations.
by lacker | 2025-11-06 18:34:29+00:00
The point I found most interesting is what the author calls "robustness".

Another advantage of AlphaEvolve was robustness: it was relatively easy to set up AlphaEvolve to work on a broad array of problems, without extensive need to call on domain knowledge of the specific task in order to tune hyperparameters.

In software world "robustness" usually implies "resistance to failures", so I would call this something different, more like "ease of integration". There are many problems where in theory a pre-LLM AI could do it, but you would have to implement all this explicit modeling, and that's too much work.

Like to pick a random problem, why does no superhuman AI exist for most video games? I think most of the difficulty is not necessarily in the AI algorithm, it's that the traditional method of game playing involves programming a model of the game, and for most video games that's an incredible amount of work, too much for someone to do in their spare time.

LLMs, on the other hand, are decent at integrating with many different sorts of systems, because they can just interoperate with text. Not quite good enough at video yet for "any video game" to fall. But a lot of these problems where the difficulty is not "algorithmic" but "integration", the LLM strategy seems promising for cracking.