MurphyA/hacker-news huggingface dataset:
by FEELmyAGI | 2026-02-25 22:31:14+00:00
> why not take free speed?

once all interactions appear instantaneous to a human, which is usually possible even with python et al, reducing CPU usage doesn't matter in 99.9% of cases that the app never gets popular enough that the savings in running the app would even add up to the cost of a LLM subscription.

Also, in most instances CRUD apps could run with their own data structures and filesystem data persistence. Not to say its a good idea,But I'd wager you could get on the frontpage with "show HN: I build a ToDo app that's 10x cheaper to run on AWS than Django".

In reality SQL databases, along with programming languages, OS utilities, webservers, crytography, and probably a few other technologies are basically bedrock technologies that LLM builds upon and have durable value, unlike Dev Tools / Frame Works / Simplified Human Interface wrapper projects, such as django ansible and the thousands of similar projects .

The more LLMs *CAN* code, human oriented coding tools and concerns become worthless.
by mschuster91 | 2026-02-25 22:31:40+00:00
> LA is fortunate in that it doesn't suffer from freeze/thaw cycles and can put down a lot more concrete without worrying about expansion/contraction and water ingress.

The freeze thaw cycles more impact the asphalt. Basically, wherever there is a joint that has been improperly sealed with tar, or the asphalt cracks due to overload - e.g. from heavy vehicles in general or especially surrounding bus stops due to the force of buses accelerating in the summer, when the asphalt is softer, you get water seeping through into the asphalt... and when it then freezes, it expands, making the pothole worse with every cycle of thawing and freezing.

That is why it is so important to properly repair potholes. Some youtubers have made themselves infamous by fixing potholes themselves, but they use non-melting ready mix... that works in a pinch to make sure that vehicles don't get damaged, but you will need to rip that out to the foundation, fix the holes with gravels, compact that, place proper hot molten asphalt, compact that, fill again and compact, and then seal the edges with tar. Otherwise the ready-mix will disintegrate over time and you'll end up with the original pothole, or with an even worse one if you have freeze and thaw cycles.
by Qem | 2026-02-25 22:31:40+00:00
> On the other side there was the famous "hospital bombing" news event early in the war where it was claimed that 500 people were killed, and then within a couple of hours it became obvious that the explosion was caused by a misfiring Hamas rocket...

Forensic-architecture published a report on that too: https://forensic-architecture.org/investigation/israeli-disi...
by GeoAtreides | 2026-02-25 22:32:26+00:00
If I ignore the AGI parts, there's only:

>Everything is awful for almost everyone. I expect even the ultra wealthy will find their lives significantly less pleasant than they were before.

>We're three years into the ChatGPT revolution now and so far the main observable impact on the craft that I care about is that I can build more ambitious things.

I think you refuse to extrapolate the obvious consequences and have forgotten (if you ever knew) how it's like to be in trenches. You put on the horse blinders of 'easy to build' on the left and 'so much fun' on the right and happily trot on, while the wolves of white collar job automation are closing in for the middle class. You believe that we'll all become cyborg centaurs, while the managers believe we'll all become redundant. You think people will care about the sideslop everyone will build, not seeing that 'everyone will build' means 'no one will care'. Worse, means no one will buy (knowledge| skill|creation).

Indeed we have not tipped over into the abyss, but we're teetering and the wind is picking up. It's not the end times, it's not AGI, it doesn't have to be AGI to wreck great damage on the economy, our craft and, ultimately, our way of life and our minds.

And the wind is picking up, faster and faster.
by legitster | 2026-02-25 22:32:33+00:00
Slavery was already being abolished in the West when Adam Smith wrote the Wealth of Nations. But what was notable was that Adam Smith was really the first to make a strong case and prediction that it was not just the moral thing to do, but would lead to prosperity.

Adam Smith also differentiated between different levels of slavery - that Roman slavery was different than Serfdom was different from chattel slavery in the US.

It's worth noting that Adam Smith did not think total abolition was possible. One of his concerns about free markets was that people deeply desired control of other people, and slavery would increase as a byproduct of wealth.
by PaulDavisThe1st | 2026-02-25 22:32:37+00:00
Today I shopped at the local food co-op, Sprouts (regional/semi-national chain), Whole Foods and Trader Joes. Word on the street is that the co-op has a worse labor relations history than Whole Foods. Trader Joes is good but doesn't sell more than a 1/3rd of the food we eat. Sprouts I don't know much about, it would be a fallback if Whole Foods disappeared.

Whole Foods has the food products (produce, dairy, eggs, grains, nuts) that we eat, is cheaper than the competition for this stuff, and unbelievably beats the co-op on labor relations. However, it also ships profit out of the area. For now, it's sort of the best of a bunch of not particularly good choices.
by hunterpayne | 2026-02-25 22:32:59+00:00
Because that's not what the GP was talking about. For example, say there is some controversial economic policy passed by one of the parties. Then a researcher goes out to research if the policy is working or not. But when they do the research, they find out that the policy doesn't work and has bad side effects too. However, the majority of the university votes and supports the party that passed the policy.

So the researcher intentionally changes some of the ways the data is collected and poof, it looks like the policy works. Extra funding comes your way but now you have committed academic fraud. Not that anything will happen to you for this, but still, you know you did it. That's what the GP is talking about and it happens quite a bit in the humanities and economics. Its why private economists and public economists almost seem like different species.
by jacquesm | 2026-02-25 22:33:13+00:00
Ah, the master of bad takes is at it again.

> Slavery had basically been a thing for all of human history up to that point,

Except that of course it wasn't.

> and based on my discussions on HN many smart people don't believe a lot of what Adam Smith said.

And many smart people do.

> There are still a lot of basic economic ideas that would make people much wealthier that struggle to get out into the wild.

Yes, such as the one that wealth is not very good as a context free metric for societal success.

> With that perspective the near-total abolition of slavery in a century seems pretty quick.

You missed that bit about the war. If not for that who knows where we'd be today.

> And we see what happened to the people who tried to maintain slavery over that century - they ended up poor then economically, socially and historically humiliated.

Yes, they relied on the misery of others to drive their former wealth, but they are not the important people in that story. The important people are the ones that were no longer slaves.

And never mind that many of those former slave owners did just fine economically afterwards, after all, they already were fantastically wealthy so they just switched 'business models' and still made money hand over fist.
by vincentalbouy | 2026-02-25 22:33:19+00:00
Actually I have been of both side of this story.

2019 -- 2020 : we had an office in New York with my previous company for 30 people

2020 -- 2026 : We are fully Remote at TeamOut, we are 30 and we only do retreats

We pend 5X less than a company going to an office everyday
by nicholasrq | 2026-02-25 22:36:07+00:00
it does have framebuffer of course because you need to store actual text somewhere. in this case framebuffer stores structs that contain text (char), its styles and dirtiness

all chars are rasterized into atlas (sprite, if you want) containing whatever can be printable. it's bitmap that has fixed addressable cells that renderer can pick up and apply styles to

so answering you question, it's not just outputting text, a bit more but super optimized to be really fast. i mean, visually it can be achieved by something like double-buffer so you basically just diff changes and re-render only changed cells

although, as i mentioned in another comment, in some applications CPU computations become too expensive. GPU acceleration just gives terminal snappier feel and prevent performance degradation under UI-heavy load
by doug_durham | 2026-02-25 22:36:13+00:00
You use the phrase "trivially fix". If your definition of "trivially" means several decades with the investment of billions of dollars, then perhaps. There are no "trivial fixes" in city infrastructure. Re-zoning only works if there are developers who want to redevelop the land. For existing neighborhoods this means buying dozens of SFH from people who don't want to move. This drives the price of any development up making it unprofitable in most cases. I'm sorry but I can't take you seriously.
by HappyPanacea | 2026-02-25 22:36:16+00:00
I give up. We started this with "Do you understand the difference between being not in uniform in order to infiltrate enemy territory and being not in uniform in your own territory?" and I clarified again in the comment you responded to: "What I want is Israeli citizens mistaken for an enemy combatant in Israel in a non-active-combat environment or Palestinians citizens mistaken for an IDF soldier in Palestine in a non-active-combat environment."

I will explain one last time I'm not looking for examples of people being harmed from "general" perfidy but those analogous for what happened - a stealth raid infiltrating among an enemy's population, "people start shooting civilians thinking they're infiltrators" as you said. The hostages weren't infiltrators, the context was that they were in enemy territory against their will and active combat. This is quite different from an hypothetical west bank combatant shooting his fellow men in non-active combat because he thought they were IDF.

P.S I'm still confused about the German Jews in the 1930s/1940s comment.
by LargoLasskhyfv | 2026-02-25 22:36:18+00:00
There is https://www.ferroelectric-memory.com/memory-chip-factory/

There is also https://www.vishay.com/ which expanded several sites in .de, without much fuss, or begging for subsidies. That is neither RAM, HBM, NAND, nor NOR, but nonetheless much needed stuff, for all the electrified cyber.
by ianburrell | 2026-02-25 22:36:25+00:00
I think PayPal and Venmo will be just fine with FedNow. They will work the same but with faster transfers. They will be pseudo-banks with internal transfers, FedNow transfers to others, and instant transfers to bank accounts. They will be alternative to bank apps. PayPal's purchase protection could be important for purchases unless banks work something else out.

Zelle is the one that is doomed since they are bank-run instant transfers that FedNow directly replaces.
by rtpg | 2026-02-25 22:36:26+00:00
Neat!

The Django admin is really great. I do wish there could be a bit more extensibility hook points to hook into existing stuff, but I know a loooot of projects that hack stuff into the admin despite that (I think in particular it's a bit futzy to have things like confirmation screens on custom actions).

I think the real power of Django comes from not only having the batteries included, but almost always having the right kind of extension points in terms of methods (or template overrides) that really give you ways to quickly insert the right kinds of customization for your project. The admin existing and working so well for so long is proof of that IMO
Show HN: Running hallucination detection on a $200 GPU (RTX 3050, 4GB)
by yubainu | 2026-02-25 22:36:49+00:00
I built SIB-ENGINE, a real-time hallucination detection system
that monitors LLM internal structure rather than output content.

KEY RESULTS (Gemma-2B, N=1000):

• 54% hallucination detection with 7% false positive rate

• <1% computational overhead (runs on RTX 3050 with 4GB VRAM)

• ROC-AUC: 0.8995

WHY IT'S DIFFERENT:

Traditional methods analyze the output text semantically.

SIB-ENGINE monitors "geometric drift" in hidden states during generation - identifying the structural collapse of the latent space before the first incorrect token is sampled.

This approach offers unique advantages:

• Real-time intervention: Stop generation mid-stream

• Language-agnostic: No semantic analysis needed

• Privacy-preserving: Never reads the actual content

• Extremely lightweight: Works on consumer hardware

HOW IT WORKS:
SIB-ENGINE monitors the internal stability of the model's computation. While the system utilizes multiple structural signals to detect instability, two primary indicators include:

Representation Stability: Tracking how the initial intent is preserved or distorted as it moves through the model's transformation space.

Cross-Layer Alignment: Monitoring the consensus of information processing across different neural depths to identify early-stage divergence.

When these (and other proprietary structural signals) deviate from the expected stable manifold, the system flags a potential hallucination before it manifests in the output.

DEMO & CODE:

• Demo video: https://www.youtube.com/watch?v=H1_zDC0SXQ8

• GitHub: https://github.com/yubainu/sibainu-engine

• Raw data: raw_logs.csv (full transparency)

LIMITATIONS:

• Tested on Gemma-2B only (2.5B parameters)

• Designed to scale, but needs validation on larger models

• Catches "structurally unstable" hallucinations (about half)

• Best used as first-line defense in ensemble systems

TECHNICAL NOTES:

• No external models needed (unlike self-consistency methods)

• No knowledge bases required (unlike RAG approaches)

• Adds ~1% inference time vs. 300-500% for semantic methods

• Works by monitoring the process not the product

I'd love feedback on:

• Validation on larger models (Seeking strategic partnerships and compute resources for large-scale validation.)

• Integration patterns for production systems

• Comparison with other structural approaches

• Edge cases where geometric signals fail

This represents a fundamentally different paradigm: instead of
asking "is this text correct?", we ask "was the generation process
unstable?" The answer is surprisingly informative.

Happy to discuss technical details in the comments!
by Gordiny | 2026-02-25 22:37:01+00:00
Thanks! A graph visualizer is interesting, but it’s not really the goal here. There are already good tools that map entire schemas. DBTree is more about focused, node-by-node data exploration, without loading or visualizing everything upfront.

It relies on actual foreign key constraints. If there’s no FK defined, it won’t infer the relationship. The chevron is shown based on those constraints, and the related rows are only queried when you expand the node, which keeps performance under control.
by cs702 | 2026-02-25 22:37:08+00:00
At first glance, this looks incredible to me.

The authors train on 40K hours of computer-use video labeled by contractors with keyboard and mouse actions, then use that model to label 11M hours of computer-use video, for training the final computer-action model. Quoting from the OP:

> [previous models] burn a million tokens to understand just one minute of 30 FPS computer data. Our video encoder encodes nearly 2 hours of video in the same number of tokens—that’s 50x more token-efficient than the previous state-of-the-art and 100x more token-efficient than OpenAI’s encoder. These improvements in context length and dataset size mean we can finally pretrain on enough video to scale computer action models.

While I was already aware that there are people working on new, more efficient "world models," this is the first one I've seen in action. I'm a bit in shock at how good it seems to be, quite frankly.

I've added your post, as well as the 2018 paper on Behavioral Cloning from Obervation (BCO) to my reading list.[a] So far, I've only skimmed the 2018 paper, but it's already evident that it's well-written. I'm no expert in deep RL, and I can understand it. BTW, "Behavioral Cloning from Obervation" is a really good name, with an easy-to-remember acronym.

Thank you for sharing this on HN.

[a] https://arxiv.org/abs/1805.01954
by nine_k | 2026-02-25 22:37:14+00:00
As I understood the grandparent post, the idea is that a highest-level university should 10× its student throughput, and 9 other, lower-level universities would be made redundant by that.

This would make sense if all what an elite university did were providing elite-level education. Of course exclusive schools provide other benefits, often more valuable for the target audience than the education proper: a highly filtered student body, networking and bonding with the right, upwardly mobile people (either mega-talented, or just smart kids of rich and influential parents), a luxury-grade diploma that few can afford. Maybe you could theoretically 10× Stanford or MIT, but likely not Yale.
by jacquesm | 2026-02-25 22:37:15+00:00
And effectively it did: many people are kept in their place by the combined pressure points of debt and employment to stay (barely) afloat.

This is of course nothing compared to the cruelty of real slavery but the effect is much the same, a lot of people are working their asses of for an upper class that can ruin their lives at the drop of a hat. That there are no whips involved is nice but it also clearly delineated who was the exploiter and who were the exploited. That's a bit harder to see today.
by arjie | 2026-02-25 22:37:18+00:00
These days you can rewrite everything yourself for very cheap. So this is `mcporter` rewritten. I prefer to use Rust personally for rewrites. Opus 4.6 can churn it out pretty quickly if that's what you want. To be honest, almost all software that I want to try these days I don't even install. Instead I'd rather read the README and produce a personal version. This allows encoding idiosyncrasies and specifics that another author will not accept.
by yubainu | 2026-02-25 22:37:25+00:00
I’ve been exploring why LLMs "break" during inference. Most current hallucination detection methods look at the final text (semantic analysis) or use another LLM to double-check (self-consistency). These are effective but extremely slow and expensive.

SIB-ENGINE is my attempt to solve this at the geometric layer. By monitoring the "Anchor Drift" (how hidden states deviate from the prompt’s latent trajectory), I found that hallucinations often manifest as a structural instability before the token is even sampled.

The Numbers:

Recall: 53.89% (It catches about half, but it's consistent)

Precision: 88.52% (Low false-alarm rate is my priority)

Overhead: <1% (Running on an RTX 3050 with 4GB VRAM)

AUC: 0.8995

I've released a Lite version (1-axis) on GitHub so you can see the fundamental logic and run it on your own machine. I’ve also included the raw_logs.csv from my N=1000 test run on Gemma-2B for full transparency.

I’m particularly curious if anyone here has experimented with similar geometric approaches or has thoughts on how this might scale to 70B+ models where the latent space is significantly denser.

Happy to dive into the technical details!
by sublinear | 2026-02-25 22:38:10+00:00
> Everything you wrote above was said about PDAs in the 90s

No it wasn't. PDAs were seen as crappy little computers, but the applications were obvious because the bigger much more impressive computers were everywhere by then. There was no question about the value of personal computing anymore.

Everything regarding probabilistic AI is either about optimization or trading off costs. All such applications are intrinsically and perpetually lost in the weeds. The use cases aren't new because "generative" is a marketing buzzword desperately trying to cover up what is actually just "imitation".

AI makes what was already possible more accessible. It is useful, but not a revolution for the layperson or even most businesses apart from bridging knowledge gaps. It's a new way to search, but iterative at best. People are in awe of the money being exchanged, but are also in denial that it's almost entirely defense spending.

If it was just a matter of cost, scale, capability, etc. then why am I not allowed to own a flying car with my existing driver's license? Why doesn't everyone own full auto guns? Why do we serve horrible food in hospitals? Why do corporate offices thrive on work that technically never needed more than one person to accomplish even before computers were commonplace? The answers are all political.
by tonymet | 2026-02-25 22:38:27+00:00
"the code" is the issue. This isn't building code like protecting earthquakes, electrical, fire safety. When people hear "the code" -- they think critical safety measures.

Activists came up with a doorjamb law to require bike lanes, ADA and road diets on every block that receives repair. That's just not practical in LA. You can't punish drivers into riding a bike to work.

this is coming from someone who biked and bussed to work in LA for 10+ years.

It's reckless policy that will only undermine your efforts and never reach the desired outcome.
by vincentalbouy | 2026-02-25 22:38:34+00:00
As an AI engineer I made mysefl a promise when started a company:

"You will only use Ai, if it really useful for your customer" IT wasn't from 2021 to 2025 but then LLM reached a point that now the experience for my customer is way better using a completely different product that is a conversation instead of a classic Airbnb search. What do you do when you discover that? You change you product

Also we do not use AI "buzzwords" for the marketing at all, if you go to our website https://www.teamout.com/ we do not even mention it, we focus on the experience you will get at the event.

Thank you
by cowboylowrez | 2026-02-25 22:40:05+00:00
Synths with mod wheels are the bomb, I used to have a roland that had a pitch wheel for bends and then push it for tremolos, vibratos and such, and way more voices, envelopes etc and that was a few decades ago and I'm sure that nowadays guitars are not going to compete except at one thing, making guitar sounding noises, you can get guitary sounds but somehow they come off to me to be too clean and lack the slop that various fingerings produce lol
by 5o1ecist | 2026-02-25 22:40:40+00:00
> The research focused on words of estimative probability, which include terms like “maybe,” “probably” and “almost certain.”

Interesting. Perplexity did that as well, but I've made sure it stops doing that.

Might be relevant for others: https://www.perplexity.ai/search/hey-hey-do-you-remember-whe...
Show HN: My-data.download – Guides to export your data
by janbanan13 | 2026-02-25 22:40:43+00:00
I built an open-source directory of personal data export instructions. Pick a service (Spotify, GitHub, Netflix, etc.), get the exact steps, what data you'll get, and what you can do with it.

It's a static site backed by a single JSON file. Adding a source is just a PR. Contributions are welcome and wanted.

https://my-data.download

https://github.com/janschill/my-data.download
by throwup238 | 2026-02-25 22:40:47+00:00
> Great testers are worth their weight in gold and delight in ruining programmer's days all day long.

Site note: all the great testers I've know when my employers had separate QA departments all ended up becoming programmers, either by studying on the side or through in-house mentorship. By all second hand accounts they've become great programmers too.
by ceejayoz | 2026-02-25 22:41:16+00:00
I would gently suggest that the relative quality of the soldiers and their equipment is not something you can dismiss here.

A handful of Delta Force in Mogadishu shot hundreds (at least) of armed assailants, for example.

Hamas certainly doesn’t have the Leopard 2 tanks and F-35s Denmark has. Which is pretty important for the “more powerful” assessment.