MurphyA/hacker-news huggingface dataset:
by shakna | 2026-02-15 11:50:32+00:00
After the last screwup, by the same company, why would you trust the data to stay on your device?

> Of the accounts impacted globally, we have identified approximately 70,000 users that may have had government-ID photos exposed, which our vendor used to review age-related appeals.

And by same company, I don't mean discord. I mean Persona.

https://discord.com/press-releases/update-on-security-incide...
by rafaelmn | 2026-02-15 11:50:58+00:00
> Vibe coding would be catastrophic here. Not because the AI can't write the code - it usually can - but because the failure mode is invisible. A hallucinated edge case in a tax calculation doesn't throw an error. It just produces a slightly wrong number that gets posted to a real accounting platform and nobody notices until the accountant does their review.

How is that different from handwritten code ? Sounds like stuff you deal with architecturally (auditable/with review/rollback) and with tests.
by johndough | 2026-02-15 11:52:28+00:00
> So the size of GPT-5.3-Codex-Spark isn't limited by the memory of a single Cerebras chip, but the number of such chips that you can chain together and still hit the 1000 tokens per second target.

Chaining chips does not decrease token throughput. In theory, you could run models of any size on Cerebras chips. See for example Groq's (not to be confused with Grok) chips, which only have 230 MB SRAM, yet manage to run Kimi K2.
by KronisLV | 2026-02-15 11:52:30+00:00
I'd take even a smaller self-hostable "Hey, here's a really cool project that can be made with Codex and our other tools, ain't it great PR?" program that's not built for some crazy scale, but that I can put on a VPS somewhere - and would support the basic features of Slack and Discord. Think a Node.js app or something similar, PostgreSQL, maybe RabbitMQ/Redis, a SPA with React or whatever. Basic but consistent styling and features.

So, workspaces, channels, threads, voice and video calls, screen sharing, file sharing, polls/reactions to messages.

Especially given the current situation with Discord. If such a thing could even be built with any tools and mostly/partially vibe coded, then it'd reflect really positively on the state of the tools!

The problem is that if they'd try that and mess up, it'd be like Unity's own Gigaya project, which was really bad PR: https://www.reddit.com/r/Unity3D/comments/vz1b43/gigaya_has_...
by WillAdams | 2026-02-15 11:54:14+00:00
Very disappointed that they don't have _Bembo's Zoo_

https://www.devicq.com/bembo-zoo/

https://soundeffects.fandom.com/wiki/Bembo%27s_Zoo_(Websites...

https://web.archive.org/web/20000816172409/http://www.bembos...

If there's a way to get it added, I'd be very glad of that (or if someone could figure out how to re-create it for the modern web)
by tgsovlerkhgsel | 2026-02-15 11:54:41+00:00
I don't buy it. The actor running the website likely gets paid for every user that installs the app or possibly even every user they direct at the app.

Even in the unlikely case that they get paid for achieving some later payoff, the "work" on the way there is almost certainly 100% automated so there is no harm in spraying the attack more widely (as opposed to Nigeria scams where pre-AI, pre-slave-farm, the scammers would have to invest significant amounts of a very limited resource - their time - on each victim).
by eth0up | 2026-02-15 11:55:11+00:00
If all will pardon the name drop, I'm listing my all-time most revered astronomy resource. It's not quite what is was 20 years ago, and I no longer look up much, but I've managed to get a smile from it with each visit. It's one of the few websites I still have an affection for.

https://www.cloudynights.com/
by Der_Einzige | 2026-02-15 11:55:35+00:00
You can jiggle sampling settings around without the seed changing. That’s identical in practice but even more sneaky. (Though it wouldn’t speed up inference unless they were dumb enough to do beam search and turned that off!!!)

Yeah they can’t tell, but also there’s lots of incentive for major LLM providers to lie about not doing something that would massively save their inference costs if they did.
by ktaraszk | 2026-02-15 11:55:58+00:00
The enterprise communication breakdown is rough. We built miget (https://miget.com/) partly because we kept hearing stories like ojame's - long-time Heroku users stuck between expensive renewals and migration risk.

The "no new features" announcement is honest, but it forced a lot of teams into planning mode overnight. Most aren't looking for fancy features. They want reliable deployments, reasonable pricing, and to not worry about their platform disappearing. That's the gap we're trying to fill - Heroku-style DX without the Salesforce uncertainty or the sticker shock.
by mlrtime | 2026-02-15 11:56:31+00:00
I didn't actually say they are greedy or incompetent.

Government starts a new program and funds it with taxes. First, it is difficult to prove if the program is doing what it set out to do effectively. Second, there is 0 incentive to ever shut it down. The people working there don't want to, the group who started it also don't want to. The people funding it have 0 insight or say if it should continue.
by ianbutler | 2026-02-15 11:56:39+00:00
I answered the more important question of a seemingly lost youngin and how to deal with the stress of inheriting a world in a bit of turmoil.

That said, trivially we already see it advancing math and science research as an assistive tool, development and more. Extrapolate it out a few more generations and it helps us unlock a whole bunch of things on the skill tree of life so to speak.
by big-chungus4 | 2026-02-15 11:56:41+00:00
There are different kinds of coding - web dev, low level coding, software, research, data science. There are some kinds of coding where carefully designing the architecture is important, and AI might not produce satisfactory code. Some kinds of coding, on the other hand, can benefit very strongly from AI. I suspect that many people who specialize in a particular area of coding form opinions based on how useful AI is in that area, and those opinions are perfectly valid for what coding means to them, but don't generalize to other people with different specializations.
by aurareturn | 2026-02-15 11:58:24+00:00
It does make sense. Nvidia chips do not promise 1,000+ tokens/s. The 80GB is external HBM, unlike Cerebras’ 44GB internal SRAM.

The whole reason Cerebras can inference a model thousands of tokens per second is because it hosts the entire model in SRAM.

There are two possible scenarios for Codex Spark:

1. OpenAI designed a model to fit exactly 44GB.

2. OpenAI designed a model that require Cerebras to chain multiple wafer chips together; IE, an 88GB or 132GB or 176GB model.

Both options require the entire model to fit inside SRAM.
by lproven | 2026-02-15 12:00:27+00:00
> Is there any example program that actually runs on the rpi gpu?

ThreadX.

https://en.wikipedia.org/wiki/ThreadX#Products_using_ThreadX

This RTOS, later rebranded Microsoft Azure RTOS, later still made FOSS:

https://www.theregister.com/2023/11/28/microsoft_opens_sourc...

ThreadX is the RasPi firmware. The GPU is the primary processor of the Pi: the ARM cores are essentially just co-processors.
by EdNutting | 2026-02-15 12:03:17+00:00
You’re mixing up HBM and SRAM - which is an understandable confusion.

NVIDIA chips use HBM (High Bandwidth Memory) which is a form of DRAM - each bit is stored using a capacitor that has to be read and refreshed.

Most chips have caches on them built out of SRAM - a feedback loop of transistors that store each bit.

The big differences are in access time, power and density: SRAM is ~100 times faster than DRAM but DRAM uses much less power per gigabyte, and DRAM chips are much smaller per gigabyte of stored data.

Most processors have a few MB of SRAM as caches. Cerebras is kind of insane in that they’ve built one massive wafer-scale chip with a comparative ocean of SRAM (44GB).

In theory that gives them a big performance advantage over HBM-based chips.

As with any chip design though, it really isn’t that simple.
by adrian_b | 2026-02-15 12:03:33+00:00
AES-GCM would be very slow on such an old computer, without hardware instructions for AES and for CLMUL.

However, this is precisely the reason why TLS also has the option to use ChaCha20-Poly1305, which will have a decent speed even on an ancient SPARC CPU, though on the most recent CPUs it cannot match the throughput of AES-GCM, which is preferred on these.

So if you want to use a SPARC with TLS 1.3, you must configure it to avoid AES-GCM and use only ChaCha20-Poly1305.
by itomato | 2026-02-15 12:04:07+00:00
Can we go back to IRC now? Slack took what we were already doing with IRC, replaced the duct tape and firewalks, packaged up the key functionality (channels, file sharing, access) with a purple UI and mobile app and went to market.

The days of a single company maintaining a grip on something like workplace chat (and the inherent data) are numbered now. We're not building a C compiler.

Time will come when their subscription fee competes directly with another spend that can generate bespoke but commonplace business tools like chat with no data egress (or better yet, a demonstration that what you now keep and can act on what you previously paid Salesforce to steal.) Soon.
by paulbjensen | 2026-02-15 12:05:07+00:00
Hello throwaway150 and ThrowawayR2,

I wanted to share the demo to show what's possible with Claude Code in a short window of time (I only started building this on Friday evening, and I've spent probably no more than 6-7 hours in total this weekend on it).

Point taken on not doing a write-up on this. I think I will write a blog post about my approach and learnings and then share later. I'll let you know once it is up.

I thought it might be worth sharing that I'm a fullstack developer with about 20 years of industry experience, but I didn't study CS at university, I studied Management & Systems instead (Business Studies with Maths, learning about Linear Programming, Time-Series Forecasting, Critical Path Analysis, Monte-Carlo Simulations, and Systems Thinking).

I have a GitHub profile here so you can see all the open source software I've written over the years: https://github.com/paulbjensen.

I'm also the author of Manning Publications' "Cross Platform Desktop Applications", a book about Electron and NW.js. https://manning.com/jensen.

I still write code in my day job, but I'm having a lot of fun creating PoCs with Claude Code in my spare time.

And if that description about a category of HN users who only became software developers for the high pay was referring to me, I thought it would be worth mentioning that my friends at university in London back in 2006 went into Investment Banking as that had the high pay, but I took a different route and became a self-taught programmer.

I never did it for the high pay (it didn't exist in London back then). I did it because I grew up around computers (my dad was a software and hardware engineer), and I realised that I love creating things with them.
by villgax | 2026-02-15 12:05:37+00:00
I just want something that's as easy to use as DaisyUI or even Bulma with one good set of components & themeing(beyond just palletes, like rounding, blur, transparency etc) & I'm good. For all the self-hosting model afficianados surely needing a build platform to create a blackhole of npm modules & internet connectivity for even a single build surely negates the entire point of a coding LLM if we still force it to deal with frontend
by seanhunter | 2026-02-15 12:06:48+00:00
It’s not just the UX in wave was poor. They didn’t have one compelling use case that made sense to people and they botched the launch.

1. They did the same “invite” thing they had done with gmail so you couldn’t get an account (even if you had a gmail account). They repeated this mistake with google+ also (a social network for people who work at google).

2. They basically had a working CRDT and said “you can use this for all sorts of things” (which is true) and a thin UX on it that implemented a sort of bizzaro threaded chat with document sharing and said “this will replace email” (which is blatantly untrue) and everyone was just confused.
by metalman | 2026-02-15 12:07:06+00:00
for which Gretta is the litteral, antidote, as she has NO money, or such vanishingly small personal funds as to be of no account, yet hiches rides on sailboats to show up and berate parliments in there well worn lairs, her speach to the british parliment bieng a clear sign that she wont back down , and much worse, has such impecable manners that she mistook there talking and joking to be a technical mallfunction with her microphone.
And now after her capture by the ZGF (zionist genocide force), and stare down with there chief torturer/jailer, she has vanished from all major media.
So that Gretta and that Peter, are in fact
polar oposites in almost every sense.
by amananytime07 | 2026-02-15 12:08:14+00:00
I built TexGuardian after spending yet another deadline night fighting LaTeX formatting instead of focusing on research. Every conference submission, the same ritual: figure overflows, citation format issues, TODO markers left in text, hallucinated references from ChatGPT, forgotten anonymization. Hours wasted on mechanical formatting when you should be sleeping or refining ideas.

TexGuardian is a CLI that treats paper preparation like code review. It reads your entire .tex and .bib files, understands LaTeX structure and venue requirements, then generates reviewable unified diff patches for every issue it finds. No blind rewrites, no mysterious changes — every edit is shown as a diff you approve before it touches your files.

The `/review full` command runs a 7-step autonomous pipeline:
1. Compile with latexmk (proper error reporting)
2. Verify (figures, citations, TODOs, page limits, custom regex rules)
3. Fix issues with LLM-generated patches
4. Validate citations against CrossRef and Semantic Scholar APIs (catches hallucinated or outdated references)
5. Analyze figures (width overflows, placement, captions)
6. Analyze tables (booktabs compliance, column overflow)
7. Visual polish — renders PDF to images, sends to vision model, catches overlapping figures, bad spacing, margin violations that text-only analysis can't see

Key design decisions:
- Checkpoint system with instant rollback — every modification creates a restore point
- Unified diff patches only, never direct file writes — makes LLM edits auditable and reversible
- Async citation validation with concurrent API calls to CrossRef and Semantic Scholar
- Vision model convergence loop for PDF polish — iterates render → analyze → patch until quality stabilizes
- Natural language + slash commands — mix "/anonymize" with "fix the figure on line 303"
- Pluggable LLM backends (AWS Bedrock, OpenRouter) — default is Claude Opus 4.5 but supports any model

Works with 14 conference templates out of the box: NeurIPS, ICML, ICLR, AAAI, CVPR, ECCV, ACL, EMNLP, NAACL, COLING, CHI, KDD. Custom venue rules via regex patterns in paper_spec.md.

What started as a personal tool became something I thought the research community might find useful. If you've ever debugged \columnwidth calculations at 2 AM or validated 50 citations manually, this is for you.

pip install texguardian

Happy to answer questions about the architecture, LLM integration patterns, or take feature requests.
Show HN: Pluma – Write professional articles for your ideas and projects
by nader0913 | 2026-02-15 12:09:01+00:00
Hello HN,

Blogging is becoming more and more important. I developed a really minimalist and simple blogging platform that is focused mainly on writing professional looking articles easily.

I focused mainly on making the editor snappy, easy to use and makes you focus less on the platform and more on writing aspect.

you can try a demo here
https://pluma.ink/demo/

Thanks!
by pfdietz | 2026-02-15 12:09:49+00:00
> I don't think LNT is accurate

There's excellent reason to think LNT is accurate: at low doses, almost every cell is exposed to at most one radiation event. The dose affects how many cells experience a (single) event, but does not affect the level of damage to those exposed cells. Linearity naturally falls out of this.

To abandon linearity you have to imagine some sort of signalling system (not observed) that kicks in at just the dose we're talking about (not lower, not higher) to allow exposure to one cell to affect other cells.

There's also no good evidence that LNT is wrong. The typical things that are pointed to by anti-LNT cranks are cherrypicked, often involving interim results from studies the full results from which do support LNT, which is evidence it was statistical noise.
by krapp | 2026-02-15 12:10:00+00:00
It wasn't conscious or intentional. JMS only realized the connection halfway through writing it.

"It was only when I was about halfway into the act that I thought, "Oh, crud, this is the same area Canticle explored." And for several days I set it aside and strongly considered dropping it, or changing the venue (at one point considered setting it in the ruins of a university, but I couldn't make that work realistically...who'd be supporting a university in the ruins of a major nuclear war? Who'd have the *resources* I needed? The church, or what would at least LOOK like the church. My sense of backstory here is that the Anla-shok moved in and started little "abbeys" all over the place, using the church as cover, but rarely actually a part of it, which was why they had not gotten their recognition, and would never get it. Rome probably didn't even know about them, or knew them only distantly.)

Anyway...at the end of the day, I decided to leave it as it was, since I'd gotten there on an independent road, we'd already had a number of monks on B5, and there's been a LOT of theocratic science fiction written beyond Canticle...Gather Darkness, aspects of Foundation, others." -- Lurker's Guide
by gjulianm | 2026-02-15 12:10:18+00:00
The argument for better screening would require that finding those asymptomatic cancers actually improves survival rates. There are several reasonable scenarios where early screening doesn't improve it:

* The cancer is aggressive and resistant to treatment. Chemo/radiation only pause the growth for a bit, but ultimately the cancer keeps growing and the total survival time is the same (only that the patient spent more time knowing they had cancer).

* The cancer is susceptible enough to treatment that it's still curable when it becomes symptomatic and found through other means.

* The cancer is slow enough that the patient dies from other causes before.

Early screening brings benefits only when the cancer ends up causing issues and responds differently to treatment between the "early screening detection" time and the "normal detection" time.

It's impossible to know beforehand which of the scenarios have more weight, specially because we have very little data on what happens way before cancer is detected via the usual methods. We need better studies on this, and for now the evidence doesn't really point out to these large, indiscriminate screenings being actually helpful.
by javasop | 2026-02-15 12:12:26+00:00
It makes sense, yeah. I am proposing a new way to encode these rules that is grounded in precise mathematical logic. I gave the example of law because it's the closest thing we have to a well-defined, at least visible, set of rules. I have a language I developed (a subset of JSON) that encodes this logic (inspired by Prolog and Lisp). So basically, the idea is that we have a formal way of defining software systems that specifically affect our daily lives (especially with the advent of AI), so anyone can parse it and read it. You can even use AI to understand the rules of this system because it's constructed of primitives that are well-defined and constrained. Thank you for your comment, very insightful. Here is the docs page for the language I developed: https://almadar.io/blog/json-that-thinks
by nkrisc | 2026-02-15 12:12:47+00:00
I like to think about it this way: why do printers need me to give it more paper? Why do I need to go buy paper from the store? These at the most trivial real-world things a human can do but I can’t imagine any robot doing that for a very long time.

Forget self-driving cars, how about a printer I don’t have to unjam or fill with paper?

But I doubt that kind of thing will happen in my lifetime.
Ask HN: LLMs helping you read papers and books
by amelius | 2026-02-15 12:13:08+00:00
I'm curious what HN's experiences are with using LLMs for reading and comprehending papers and textbooks. Do you use special tools that make the process easier? Do they work?

I'm thinking of a book that you can ask questions. It can explain topics in more detail, or it can tell you that the thing you asked will be explained later in the book. And it will allow you to skip material that you are already familiar with. Provide references to other resources, etc.

Maybe ingesting an entire book is too much for current LLMs, but I'm sure there are ways around that.

Note: I am __not__ trying to build such a tool myself.
by aurareturn | 2026-02-15 12:13:35+00:00
You’re fooling yourself if you think The Atlantic does not present a united front. They might change that front from time to time when they realize they are wrong.

They were all bearish in 2025. Now they are bullish.

Just because they have different authors doesn’t mean they can’t control the narrative. They can easily choose to only publish bearish articles or videos versa.
by lproven | 2026-02-15 12:13:48+00:00
> It baffles me that anyone would consider this a question at all.

Thank you for saying this. I read this article a few days ago and felt the same: it's a 64-bit gigahertz-class RISC purporse designed internet server with a gig of RAM, running a current OS released less than 4 months ago.

OF COURSE it can host a website. A hundred active ones at once, I should think.
by NiloCK | 2026-02-15 12:14:13+00:00
I think there's something to this, but I also there there's something to the notion that it'll get easier and easier to do mass-market work with them, but at the same time they'll become greater and greater force multipliers for more and more nuanced power users.

It is strange because the tech now moves much faster than the development of human expertise. Nobody on earth achieved Sonnet 3.5 mastery, in the 10k hours sense, because the model didn't exist long enough.

Prior intuitions about skill development, and indeed prior scientifically based best practices, do not cleanly apply.
by nkrisc | 2026-02-15 12:14:49+00:00
Which brings us neatly to why many people are opposed to “AI” and automation.

We’re automating away the pleasurable work and leaving the drudgery for humans, when it should be the other way around.

Robots should be toiling while humans create art and music and whatever else they desire.

AI image generation doesn’t “democratize” art. Art has always been available to everyone. Anyone can learn to make art. AI image generation devalues artists and robs everyone else of the desire to learn art skills themselves.