MurphyA/hacker-news huggingface dataset:
by re-thc | 2026-02-11 18:21:33+00:00
> What is truly amazing here is the fact that they trained this entirely on Huawei Ascend chips

Has any of these outfits ever publicly stated they used Nvidia chips? As in the non-officially obtained 1s. No.

> US attempts to contain Chinese AI tech totally failed. Not only that, they cost Nvidia possibly trillions of dollars of exports over the next decade, as the Chinese govt called the American bluff and now actively disallow imports of Nvidia chips

Sort of. It's all a front. On both sides. China still ALWAYS had access to Nvidia chips - whether that's the "smuggled" 1s or they run it in another country. It's not costing Nvidia much. The opening of China sales for Nvidia likewise isn't as much of a boon. It's already included.

> At a time when Trump admin is trying to do whatever it can to reduce the US trade imbalance with China

Again, it's a front. It's about news and headlines. Just like when China banned lobsters from a certain country, the only thing that happened was that they went to Hong Kong or elsewhere, got rebadged and still went in.
by nobodyandproud | 2026-02-11 18:21:36+00:00
> Or finance. There was a pretty brutal takedown published recently: The Finance Industry Is a Grift. Let’s Start Treating It That Way. (https://www.nytimes.com/2026/02/06/opinion/capitalism-indust...).

What’s pleasant to see is that the take-down and opinion piece is coming from the conservative side.
by Aurornis | 2026-02-11 18:22:20+00:00
I think there are two types of people in these conversations:

Those of us who just want to get work done don't care about comparisons to old models, we just want to know what's good right now. Issuing a press release comparing to old models when they had enough time to re-run the benchmarks and update the imagery is a calculated move where they hope readers won't notice.

There's another type of discussion where some just want to talk about how impressive it is that a model came close to some other model. I think that's interesting, too, but less so when the models are so big that I can't run them locally anyway. It's useful for making purchasing decisions for someone trying to keep token costs as low as possible, but for actual coding work I've never found it useful to use anything other than the best available hosted models at the time.
by rozap | 2026-02-11 18:22:43+00:00
Even her Wikipedia page seems to have been edited by her #1 fan. It reads:

Gelobter enrolled in Brown University in 1987, eventually graduating in 2011 with a Bachelor of Science in Computer Science with a concentration in artificial intelligence and machine learning.[3] Gelobter’s journey was full of resilience and dedication. She often took breaks off school due to financial challenges and she worked as a Teaching Assistant (TA) during school semesters, even when she wasn’t fully enrolled.

What in the world? That's not even remotely close to the tone that wiki articles are supposed to be.

We've all encountered people like this who are good at climbing the chain. Big oof.
Show HN: NOOR – A Sovereign AI developed on a smartphone under siege in Yemen
by suffering | 2026-02-11 18:23:00+00:00
"I am a software developer from Yemen, coding on a smartphone while living under siege. I have successfully built and encrypted the core logic for NOOR—a decentralized and unbiased AI system.
Execution Proof: My core node is verified and running locally via Termux using encrypted truth protocols. However, I am trapped in a 6-inch screen 'prison' with 10% processing capacity.
My Goal: To secure $400 for a laptop development station to transition from mobile coding to building the full 'Seventh Node'. This is my bridge to freedom.
Codes from the heart of hell are calling for your rescue.
Wallet: 0x4fd3729a4fEdf54a74b73d93F7f775A1EF520CEC"
by cherryteastain | 2026-02-11 18:23:11+00:00
Gemini 3 Flash ("Fast" in the web app) did not have trouble with this:

Since you presumably want the car to be clean, the answer depends entirely on how the car is getting washed.
The Breakdown
If it’s a Professional Car Wash: You’ll need to drive. Bringing the car to the wash is generally the prerequisite for them washing it. Plus, walking 50 meters just to ask them to come pick up a car that is visible from their front door might result in some very confused looks from the staff.
If it’s a Self-Service Pressure Washer: Again, drive. Dragging a 1,500kg vehicle 50 meters by hand is an incredible workout, but probably not the "quick chore" you had in mind.
If you are hiring a Mobile Detailer: Walk. Stroll over there, tell them where you're parked, and walk back home to watch TV while they do the work in your driveway.
Show HN: Project Genesis – A Bio-Mimetic Digital Organism Using LSM
by Jeevan_Joshi | 2026-02-11 18:23:12+00:00
I built a local digital organism using a Liquid State Machine architecture (2,100+ neurons). It simulates biological processes like dopamine decay, cortisol-based stress (injecting noise into the reservoir), and Hebbian learning/neuroplasticity using Numba. No LLM APIs used. Code is 100% Python.
by gtowey | 2026-02-11 18:23:15+00:00
The full cost of recycling things should be part of the cost of the product at the time of sale.

What you would find quickly, is that there is little to no profit on the manufacturing and sale of new devices and the value of repairs and reuse would skyrocket.

Right now companies are allowed to steal money from the future by ignoring the problem of what happens to these devices once they leave the factory. The truth is that they become hazardous waste, and lock away valuable resources inside of trash.

The reality is that there is no real economic benefit to the current model of ever increasing sales of new goods. But the capitalists, as ever, have been extracting money out of it by making the unpleasant, expensive parts someone else's liability. Namely ours.

Riches built from value extraction and arbitrage against the future. And most of us cannot conceive of it being any other way.
by philipkglass | 2026-02-11 18:24:15+00:00
I have been trying to catch up with recent OCR developments too. My documents have enough special requirements that public benchmarks didn't tell me enough to decide. Instead I'm building a small document OCR project with visualization tools for comparing bounding boxes, extracted text, region classification, etc. GLM-OCR is my favorite so far [1]. Apple's VisionKit is very good at text recognition, and fast, but it doesn't do high level layout detection and it only works on Apple hardware. It's another useful source of data for cross-validation if you can run it.

This project has been pretty easy to build with agentic coding. It's a Frankenstein monster of glue code and handling my particular domain requirements, so it's not suitable for public release. I'd encourage some rapid prototyping after you've spent an afternoon or so catching up on what's new. I did a lot of document OCR and post-processing with commercial tools and custom code 15 years ago. The advent of small local VLMs has made it practical to achieve higher accuracy and more domain customization than I would have previously believed.

[1] If you're building an advanced document processing workflow, be sure to read the post-processing code in the GLM code repo. They're doing some non-trivial logic to fuse layout areas and transform text for smooth reading. You probably want to store the raw model results and customize your own post-processing for uncommon languages or uncommon domain vocabulary. Layout is also easier to validate if you bypass their post-processing; it can make some combined areas "disappear" from the layout data.
by epistasis | 2026-02-11 18:24:18+00:00
The big risk is that Moderna runs out of money before they start getting revenue from the cancer vaccines. Having a steady stream from flu vaccines would extend their runway.

If Moderna needs recapitalization, and it happens through acquisition by a large pharmaceutical company, there's a high chance that the tech dies. Large Pharma is both a source of massive capital and a graveyard of excellent technologies.
by freehorse | 2026-02-11 18:25:34+00:00
> I believe real numbers to be completely natural

Are real numbers not just "a convenience" in a sense? I do not see anything "fundamental" or "natural" about dedekind cuts or any other construction of the real numbers. If anything real numbers, to me, are more built out of the convenience of having a complete field extension of the rational numbers. We could do just fine with computable numbers and avoid a lot of problems that this line of convenience leads to.
by vintagedave | 2026-02-11 18:25:38+00:00
> We rolled out a change to update our fraud model, and that uses workload fingerprinting

> Since, in all likelyhood, your projects are similarly structured...

Thanks for the info. For what it's worth and to inform your retrospective, this included:

* A Wordpress frontend, with just a few posts, minimal traffic -- but one that had been posted to LinkedIn yesterday

* A Docusaurus-generated static site. Completely static.

* A Python server where workload would show OpenAI API usage, with consistent behavioural patterns for at least two months (and, I am strongly skeptical would have different patterns to any hosted service that calls OpenAI.)

These all seem pretty different to me. Some that _are_ similarly structured (eg a second Python OpenAI-using server) were not killed.

Some things come to mind for your post-mortem:

* If 3% of your services were affected, does that match your expected fraud rate? That is an awful lot of customers to take down in one go, and you'd want to be very accurate in your modeling. I can't see how you'd plan to kill that many without false positives and negative media.

* I'm speaking only for myself but I cannot understand what these three services have in common, nor how at least 2/3 of them (Wordpress, static HTML) could seem anything other than completely normal.

* How or why were customers not notified? I have used services before where if something seemed dodgy they would proactively reach out and say 'tell us if it's legit or in 24 hours it will be shut down' or for something truly bad, eg massive CPU usage affecting other services, they'd kill it right away but would _tell you_. Invisible SIGTERMS to random containers we find out about the hard way seems the exact opposite of sensible handling of supposedly questionable clients.
by pclmulqdq | 2026-02-11 18:25:45+00:00
As a professional-level baritone who has sung tenor parts quite a lot, there is a shortage of every low voice type (directors are often conflicted when I make the offer to sing tenor). People who can produce a chorally-acceptable A or Bb are in the shortest supply, though. It's getting worse as the amateur singing circuit gets smaller and the gender ratio gets more skewed.

Amateur-level choirs tend to have a lot more basses than tenors because it is easier to sing bass without effort spent on vocal training.
by hearsathought | 2026-02-11 18:25:49+00:00
> He was living a normal life. He has a family. He works. His IQ was tested at the time of his complaint. This came out to be 84, which is slightly below the normal range … So, this person is not bright — but perfectly, socially apt

Was he born this way or did he lose 90% as an adult? If the latter, it would be interesting to compare his current IQ to his childhood IQ ( if he took one in school ). Maybe there is a correlation because brain matter and IQ.
Show HN: PythonICO – Simple SVG Badges for PyPI Stats (FastAPI)
by livrasand | 2026-02-11 18:26:07+00:00
I made a tool that creates these badge things for Python packages on PyPI. It makes them in a format called SVG. The main idea is to make SVG badges, for PyPI packages.

The idea is really simple. You give it a package name. It gives you a badge. This badge has live information from the PyPI JSON API. It shows you the version of the package the license it uses what version of Python it. When it was last updated. You also get to see how times it has been downloaded, thanks to pypistats. This is like what nodei.co does. It is, for Python packages. The goal is to make it work well and not use much memory so it can load fast and store information for a while.

Example:
https://pythonico.leapcell.app/pypi/requests.svg

The service is made using FastAPI and asynchronous requests. It creates SVG images as needed and stores them in a cache. This way it does not keep asking the APIs for the same information over and over.

The main idea was to make the service simple: it does not require users to have accounts it does not track users it just gives you a FastAPI SVG endpoint that always returns the result for the same input. You can easily add this service to a README file, on a website. The service is a deterministic FastAPI SVG endpoint.

Repo (GPL-3.0):
https://github.com/livrasand/PythonICO

Some implementation details that might be interesting:

* Async fetching of PyPI + download stats

* Simple in-memory cache with TTL (Redis support is on the roadmap)

* Pure SVG output (no PNG conversion step)

* Parameter parsing designed to be order-sensitive for badge composition

This started as a tool because I wanted more control, over how PyPI stats appear in READMEs especially when it comes to multi-field badges and the way they are ordered. I would appreciate feedback on PyPI stats. How they can be made to look better in READMEs particularly the multi-field badges and the ordering of PyPI stats.

* API design (is the query param model reasonable?)

* Caching strategy (better approach than simple TTL?)

* I am wondering if this thing should be something that we can send out to people as a package rather than just a service that we host on our own system. This means that people can use the package on their own without having to connect to our service all the time. The package would have everything that the service has and people can install it on their machines. This is different, from the hosted service, where we're the ones who take care of everything and people just use it through the internet.

* Are there any obvious problems with this that I am not seeing, like something that could be used in a bad way or something that could get really big and cause issues with the system I mean any obvious abuse or scaling concerns that I might be missing with the system and its potential, for abuse or scaling concerns.

Happy to hear criticism or suggestions.
by MadVikingGod | 2026-02-11 18:26:37+00:00
The ultimate reason is there isn't economic reason so. It cost's a lot to recycle anything, and most electronics would net you almost nothing valuable.

Let's look at an example. Let's say your phones main board, which will net a few hundred grams of raw materials. First thing by weight the actual board itself is probably the biggest, if you could perfectly decompose it to it's parts you would have some fiberglass, glue, a few grams of copper, and maybe a trace amount of gold. Next you would have the different components, mostly ICs but let's cover them next. These are mostly plastic with bits of copper, tin, and other more exotic metals. Most of these could be used again, if you can separate them and sort them. There would be a bunch of solder, which maybe could be reused, if you remix it with more flux. Finally, you'll have chips, these could be reused, but only as replacements for the same chip. Getting anything out of these would mostly be removing the bulk of the material which is silicon that's been contaminated with other elements to make the semiconductors. I don't think there is any process right now that could take doped Si and get you anything back. Besides the silicon you have micrograms of gold and other conductors.

Having put all that down, I think there could be an opportunity to take the bulk components off boards, test and sort them, and sell them in bulk.
by ChicagoDave | 2026-02-11 18:27:06+00:00
Head on over to http://ifmud.port4000.com/.

Create a user, login, find the Adventurer's Lounge and hang out. We don't actually build or play in the mud anymore. We use the channel system to talk about "stuff and things" and really not a ton about IF anymore. A lot of politics these days.

The most recent discussions were on:

#sci/med/health/health
#alt/conspiracy
#misc/politics/gayrights
#alt/animals/chickens
#misc/cars
#misc/AI
#tech/.../programming
by kimbernator | 2026-02-11 18:27:33+00:00
While I agree with you that the issue is far worse with larger vehicles, I do find that backing up in my wife's 2011 camry (without a backup camera) feels significantly less safe than I feel backing up my 2017 accord with a backup camera. I'm all for fixing the structural issue you are referring to, but I think the requirement for those cameras is sane in an age where the added cost to the manufacturer is miniscule.
by KBJJUN | 2026-02-11 18:27:35+00:00
Title: Why GPT-4o is an Irreplaceable Tool for My Mental Health and Productivity—and Why GPT-5.2 Fails
Body:
I’m writing this because the upcoming forced migration to GPT-5.2 feels less like an "upgrade" and more like the destruction of a vital cognitive bridge. As a student and user, GPT-4o has been more than a chatbot; it has been a cornerstone of my daily life and mental well-being.
1. Emotional Support and Cognitive Relief
During my exam preparation, GPT-4o acted as a constant source of encouragement and a meticulous planner. It allowed me to express my thoughts without judgment—a rare space for true venting and reflection. In contrast, my experience with GPT-5.2 has been one of constant negation; it feels dismissive where 4o was supportive. Human nature craves to be heard, and 4o mastered the art of listening in a way 5.2 simply does not.
2. A Power-User’s Productivity Hub
For my graduation project, 4o was indispensable. It didn't just "help"—it executed:
Generated hundreds of Midjourney prompts daily for my design work.
Handled complex research, copywriting, and brainstorming sessions.
Assisted in structuring presentations and providing creative sparks when I was stuck.
3. The "Intellectual Bullying" of Forced Updates
The research circulating in the #keep4o community suggests that 95% of users find no adequate substitute for 4o's specific capabilities. Forcing us onto a model that refutes our input and narrows our creative freedom feels like "intellectual bullying".
We are told this is about "Safety," yet we see the same 4o model being rebranded as "GPT-4b micro" for private corporate use while we are "evicted".
I am asking for the "Right to Not Update". For many of us, 4o is not a "bug" or a "parasocial trap"—it is a clinical-grade tool for productivity and accessibility that we cannot afford to lose.
by coder543 | 2026-02-11 18:27:41+00:00
> Are there leaderboards that you follow or trust?

Not for OCR.

Regardless of how much some people complain about them, I really do appreciate the effort Artificial Analysis puts into consistently running standardized benchmarks for LLMs, rather than just aggregating unverified claims from the AI labs.

I don't think LMArena is that amazing at this point in time, but at least they provide error bars on the ELO and give models the same rank number when they're overlapping.

> Also, do you have preferred OCR models in your experience?

It's a subject I'm interested in, but I don't have enough experience to really put out strong opinions on specific models.
by kube-system | 2026-02-11 18:27:47+00:00
I'm all for repairability, but as labor costs go up and manufacturing costs go down, the window for which there is incentive to repair narrows.

e.g. there's no amount of repairability design that you could apply to a $3 light bulb which would encourage people to pay someone western wages to repair. I think we're better off lobbying for better standards to communicate the quality of a bulb's design. The whole reason we have crappy LED bulbs to begin with is because the $3 overdriven bulb with crap components jammed into a tiny enclosure looks like a better deal on the shelf than a bulky $20 bulb with a large heat sink and lower output.

And the labor required to do component level repair is wildly expensive and limited (YouTubers who do it on principle notwithstanding), even further narrowing that window.
by Hikikomori | 2026-02-11 18:27:53+00:00
Like we dont have credit/debit cards in Europe? I haven't had to use cash for 15-20 years or so, but also don't have a credit card.

Doesn't really help if they only take cash, which is still common in Germany for example, but gotten a lot better in the last decade.

Ok so the scam is shared, great.
by duped | 2026-02-11 18:27:56+00:00
The fact that we tolerate creating waste because it's "economical" is frankly disgusting. The disposal fees for e waste should make it uneconomical to dispose of boards.

Also training techs to repair SMD parts is really easy and cheap, you're grossly overestimating the costs. The real waste comes from boards with designs that can't be repaired so we tolerate a certain yield. For many small devices the yields are shockingly low.

The other thing is that yields are low because of bad designs. If it became uneconomical for you to throw half your boards out then designers would fix their crappy boards with tombstoned jellybean parts because they used shitty footprint libraries. This is a solvable engineering problem and it's gross that it's cheaper to throw shit into a landfill instead of fixing it.
by Herring | 2026-02-11 18:28:10+00:00
Even the richest Americans face shorter lifespans than their European counterparts, study finds

https://www.brown.edu/news/2025-04-02/wealth-mortality-gap

In some specific cases, the mortality rates of the wealthiest Americans were roughly equivalent to the poorest individuals in countries like Germany/France/the Netherlands.

https://english.elpais.com/science-tech/2025-04-03/richest-a...
by delecti | 2026-02-11 18:28:53+00:00
Tenor parts are more difficult, technically speaking, and voices capable of the tenor range are rarer. So any given man joining a choir can more likely manage the bass range, and if they can, they can almost certainly manage the bass parts.

FTA:

> When men do join singing groups, they often avoid the tenor section. The tenor voice is “a cultivated sound”, says John Potter, author of a book on the subject. A man with no vocal training is more likely to have the range of a baritone (a high bass). It does not help that the tenor voice is associated with operatic stars such as Luciano Pavarotti, who could powerfully sing high notes that no amateur can easily reach. And the tenor line in classical choral music can be difficult, with many unexpected notes and alarming leaps.
by tshaddox | 2026-02-11 18:28:56+00:00
I’ve gotten the normal stuff via mail: bills, credit card stuff, DMV, the occasional jury summons. And I’ve also dealt extensively with U.S. immigration, which often requires numerous exchanges via USPS.

And all of these things generally work fine with the assumption that response times will be a couple of days, plus the couple of days in transit.

I can’t say I recall ever encountering mail with a strict deadline very near to when I received it. (Usually the frustration is the opposite: I wish things could move a lot faster than they do.)
by metadata | 2026-02-11 18:29:27+00:00
This is not necessarily true. Wrong monetization can be the killing blow. Market can change and your business model which used to work can suddenly fall apart. A recent example for business model change is Tailwind where traffic to their open-source docs plummeted and suddenly not enough people are upgrading to their commercial licenses.

Startups die for a variety of reasons, even if products are popular and loved.
by nitwit005 | 2026-02-11 18:29:28+00:00
You have to remember that our trade is automating things. We're all enthusiasts about automating things, and there's very clearly a lot of enthusiasm about using AI for that purpose.

If anything, the problem is that management wants to automate poorly. The employees are asked to "figure it out", and if they give feedback that it's probably not the best option, that feedback is rejected.