MurphyA/hacker-news huggingface dataset:
by efnx | 2026-02-11 03:28:13+00:00
I've been working on Renderling — an open-source, GPU-driven real-time renderer in Rust targeting both native and web (via WebGPU).

I just signed a Memorandum of Understanding with NLnet (NGI0 Commons Fund) for a second year of funding to build out the Renderling ecosystem. The big shift this year: moving away from Rust-GPU and going all-in on WGSL.

I'm building wgsl-rs, a proc macro crate that lets you write WGSL shaders in a subset of Rust — same code runs on the CPU for testing and on the GPU via generated WGSL. Works on stable Rust, no custom toolchains needed.

The funded roadmap also includes podecs, a GPU-accelerated ECS where systems run as compute shaders, a Rend3-compatible API layer (for folks looking for a path forward from Rend3), and ultimately real-time global illumination via a GPU ray tracer.

More details in the latest news update: https://renderling.xyz/news/index.html#wed-11-feb-2026

Repos:

- https://github.com/schell/renderling

- https://github.com/schell/wgsl-rs
by cosmic_cheese | 2026-02-11 03:28:41+00:00
"Matchbox" is rather hyperbolic and would better match the upcoming R3/R3X which is around the size of a VW Golf (though that still isn't that small… Honda Fits, kei cars, and Fiat 500s are smaller still).

It's about a foot longer than my crossover, which is about the same size as a RAV4 or CR-V and there's no way I could call it tiny.
by data-ottawa | 2026-02-11 03:28:44+00:00
Does anyone know what's the deal with these scrapers, or why they're attributed to AI?

I would assume any halfway competent LLM driven scraper would see a mass of 404s and stop. If they're just collecting data to train LLMs, these seem like exceptionally poorly written and abusive scrapers written the normal way, but by more bad actors.

Are we seeing these scrapers using LLMs to bypass auth or run more sophisticated flows? I have not worked on bot detection the last few years, but it was very common for residential proxy based scrapers to hammer sites for years, so I'm wondering what's different.
by hikkerl | 2026-02-11 03:29:17+00:00
It's absurd to suggest that he "encouraged others to rape the politician". There is absolutely no way that a reasonable person could perceive his message in such a way in that context.

To add a little such context, Davis frequently links controversial social media posts and encourages followers to post replies. These "brigades" are usually very successful, even turning the tide on the Prime Minister's posts.

The politician in question posted something controversial. Davis linked the post and encouraged followers to "rhetorically rape" her by replying. You're welcome to deem the wording distasteful, but his meaning is clear.
by Terr_ | 2026-02-11 03:29:23+00:00
> a comprehensive rebuttal [...] an obvious statement

I think what you said is obviously false, such that I spent a while trying to figure out if you'd accidentally typo'ed an is/isn't that flipped the logic. (If that did happen, now is a good time to check!) Any "comprehensiveness" comes from the awkward task of trying to unpack and explain things that seem like they ought to be intuitive.

> but that’s the ‘input problem’ - not “input is irrelevant.”

Not sure where that last phrase comes from, but it's a "this algorithm is bad" problem. The input is at best a secondary contributing factor.

You can manually brute-force inputs until an algorithm spits out a pre-chosen output--especially if you exploit a buffer overflow--but that doesn't mean the original algorithm is any good. I think this is already illustrated by the bad implmentation of predict_coin_flip().

> Your code is fully capable of the output I want

This is even more capable, so therefore it must be even better, right?

def decrypt_the_secret(encrypted, something):
return something(ciphertext)

Alas, this is just a more-blatant version of what I labeled as algorithmic laundering. It's bad code that doesn't do the job it's intended to do. Its quality is bad no matter how clever other code is that provides `something`.
by lg5689 | 2026-02-11 03:30:13+00:00
The movement from R to C can be done rigorously. It gets hand-waved away in more application-oriented math courses, but it's done properly in higher level theoretically-focused courses. Lifting from a smaller field (or other algebraic structure) to a larger one is a very powerful idea because it often reveals more structure that is not visible in the smaller field. Some good examples are using complex eigenvalues to understand real matrices, or using complex analysis to evaluate integrals over R.
by nerdsniper | 2026-02-11 03:34:31+00:00
I've since read TFA, as well as many other articles, official correspondence, and case law around the issue. I understand that without the additional ingredients of SNAC/sodium caprate/sodium caprylate, the bioavailability is probably too low to have a clinical effect at oral doses <15mg/day.

I read the actual FDA referral to the DOJ. They don't mention anything about any of what this article touches on. It's not clear that the referral makes correct claims about anything illegal going on. In statements, the FDA says that compounding pharmacies "cannot state compounded drugs use the same active ingredient as the FDA-approved drugs". That's a very brand-new interpretation of rules, and might not stand up to judicial scrutiny. In the context of "shouldn't investors have known that Hims business model is illegal??" -- it makes sense that investors couldn't have known ahead of time that the FDA would claim this.

https://www.fda.gov/inspections-compliance-enforcement-and-c...
Show HN: UserPrompt – A Context Request Notification Tool for Coding Agents
by Jacob-J-Thomas | 2026-02-11 03:35:01+00:00
I threw together a little MCP server that lets Claude Code, or other similar tools, open a dialogue allowing the AI agents to ask you multiple clarifying questions, without requiring them to stop their turn.

Helps with large requests where a lot of ambiguity might be encountered several minutes after the initial prompt, or if you'd like the model to be able to further clarify some of your prompts.

Dialogue pops up in a separate window, making the system act a little bit like a notification. Could greatly expand on this in later iterations.

3 different install options for easier setup.

Feel free to send any feedback/issues either here or on GitHub, and thanks for taking the time to check it out!
by kevstev | 2026-02-11 03:36:04+00:00
Yeah it was mayo clinic.

Also there was packard bell navigator. I still have all the shovelware cds from that machine. Other stuff was Tuneland, which was narrated by howie mandel and my little brother loved, Sports Illustrated clips, and some weird not very good reference books. Maybe there were some creation tool demos, I vaguely remember corel draw and some 3d took.

It was never clear to me if the journeyman project was a demo or a full game- I remember getting stuck pretty quickly.
by mananaysiempre | 2026-02-11 03:36:29+00:00
Sorry, yes, there’s a terminological disconnect here: M31, say, is the “Andromeda Galaxy” to us, but the “Andromeda Nebula” to Hubble’s contemporaries circa 1920. The recognition that at least some of the cloudy (nebulous, literally) stuff in the sky is galaxies (and that the universe fits more than one) was the very point of the fight I mentioned. The world before it was thought to be drastically smaller in a way that I find difficult to think about.
by gizmo | 2026-02-11 03:36:37+00:00
Because mastercard/visa don't personally bear any risk they are very happy to process refunds and chargebacks in the customer's favor. It's not a perfect system, but it's much better than direct bank debit where the customer has very little recourse. There is also a significant privacy issue. Today my bank can only see the sum total of my credit card purchases but not what I buy and from which vendor. Amex can see what I purchase but knows very little about me otherwise. I like this separation, and I like that it's hard for the government to get a complete picture of my financial affairs. I know credit cards get a lot of hate (here and elsewhere) but as a consumer I think they're exceptionally convenient.
by protocolture | 2026-02-11 03:36:38+00:00
>I always find it entertaining to hear people try to argue that what these companies do is soooooo difficult and that's why they're valuable. It's just multiple computers keeping a balance. It's not complicated.

Honestly its a few things.

No, the technical and financial implementation is quite complicated. Its not just a balance in a database.

Yes, they do maintain control through a vertically integrated business structure. But its very easy to justify due to risk management.

>No, these companies keep themselves in power not because they've solved such a difficult problem that nobody else can, but because they have a moat which they protect.

The moat is the difficulty. And they do protect it.

Theres a common type of customer in IT who thinks they can do everything themselves and the "finding out" phase of their shenanigans is often extremely costly, not just for themselves but for their customers.

The chief product of a good supplier is not just software or technical services, its the regimented and disciplined implementation of those services.

Some people will pay more for an IT provider who permits less because they lack the internal organizational discipline to do these things correctly for themselves.

As far as various governments are concerned, the payment card industry is largely self regulating. And that's because the apex card providers provide the balance of enforcement downstream to all the nitwits who would otherwise have to be stung by hundreds of security lapses before they would otherwise respond. The PCI SSC has created an environment where data security is more restrictive than most polity's would require, and its standards are applied worldwide. Often people get liability exemptions for meeting this standard, rather than the standard itself being enforced by legislation or regulation.

Governments honestly love this shit. Its like catnip.

And if you had 1 tiny look behind the curtains of a merchant credit card processor, you would see that they would abandon this level of compliance at the drop of a hat were they permitted. The glue that holds the whole thing together is the restricted access to global Visa and Mastercard payment processing.

If you think all this is trivial, demonstrate how trivial it is, and spin up your own cards, card payment platform, various interconnects and clearing houses. I think you would much more quickly assemble a working computer out of a kids sandpit. Shit I remember a bunch of crypto projects sought to replace Visa and Mastercard, the best we got was Crypto branded Visas and Mastercards.
by segmenta | 2026-02-11 03:36:52+00:00
Nice, that sounds like an interesting approach. We did try simpler setups first, including giving the model direct access to raw emails and meeting notes. It works to some extent, but it’s harder to maintain a clear notion of “current state” for different entities. Without links, the model also has to do entity resolution at query time, which can require multiple passes.

A design choice we made was that each note should be usable by the user too, not just the AI. For example, if someone opens a project note, they should be able to immediately understand its current status. Linking notes and using backlinks became a natural way to surface relationships and references while keeping things human-readable.
by FireBeyond | 2026-02-11 03:37:01+00:00
Because when customers go from on-prem to cloud they throw away their distro tooling and support needs? I get it, I've worked at plenty of small and large cloud-native places, but saying "All you are selling to is on-prem deployments for old(er) school workloads, which to me is a shrinking market to begin with." you're not at all accurate. Or if it is shrinking, it is still a huge market, likely a much larger market than you think.
by VladVladikoff | 2026-02-11 03:37:11+00:00
IMAP is ancient and in its own does not support 2FA. You could do it with webmail clients but you can’t do it with plain ol’ IMAP.
I have seen some attempts at it where the password is concatenated with the TOTP, but the nature of mail clients frequent polling means users would be constantly hammers with requests to reauthenticate.
There is an RFC for OAUTH2 BEARER support and there are even some servers which support it (eg Stalwart IIRC) however there are literally zero clients which support it (AFAIK). And you especially can’t use any of the main top 10 email clients that most people use, there may be some small obscure mail client that supports it, but even Thunderbird lacks support.
by tbrownaw | 2026-02-11 03:37:29+00:00
> The problem is that agent-written code has a provenance gap. When a human writes code, the reasoning lives in their head, in Slack threads, in PR descriptions. When an agent writes code, the reasoning evaporates the moment the context window closes.

The described situation for human-written code isn't much better. What actually works is putting a ticket (or project) number in the commit message, and making sure everything relevant gets written up and saved to that centralized repository.

And once you have that, the level of detail you'd get from saving agent chats won't add much. Maybe unless you're doing deliberate study of how to prompt more effectively (but even then, the next iteration of models is just a couple months away)?
by oceanplexian | 2026-02-11 03:38:11+00:00
It's not that hard to serve some static files @ 10k RPS from something running on modest, 10 year old hardware.

My advice to the OP is if you're not experienced enough, maybe stop taking subtle digs at AI and fire up Claude Code and ask it how to set up a LAMP stack or a simple Varnish Cache. You might find it's a lot easier than writing a blog post.
by UltraSane | 2026-02-11 03:38:24+00:00
They have been around for a long time and were one of the first to have a hyper-converged solution where all storage in the nodes is pooled and usable by any node. They also have their own hypervisor. You can get 4 nodes per 2U so pretty dense. In the datacenter my company uses a company had dozens of Nutanix boxes sitting in the hallway for months before they finally installed them. They are pretty notoriously expensive so only really used by companies with big IT budgets.
by youarentrightjr | 2026-02-11 03:38:36+00:00
> Does this refer to the administration of the shot or not administering the shot?

I'm fairly certain "this administration" in the GP refers to the Trump administration; under its watch, measles have been resurrected.

> The chances of someone trying to take advantage of you with fake medicine are nearly zero.

The steelman for this position is unintentional, unforeseen harm, not malicious vaccine manufacturers.
by freetime2 | 2026-02-11 03:38:39+00:00
I just bought a new car, and will probably buy another 1-2 cars in the next 10 years. My ideal upgrade path for cars is:

* I wanted my most recent purchase to be a PHEV

* I want my next purchase in roughly 5 years to be an EV (hopefully solid state batteries are available by then)

* In about 10 years I am hoping that I can buy a car that can self-drive most of my trips door-to-door

One thing I'll add is that I live in an area that gets a ton of snow, and current ADAS features are basically worthless in snow. They all turn off once the sensors get covered in ice, or when lines in the road are no longer visible. So I expect that even in new cars 10 years from now, I'll still need to take the wheel to drive during winter. Basically the features are nice when they work, but I'm still going to want to car that is first and foremost designed to be driven by humans.
by jauntywundrkind | 2026-02-11 03:38:56+00:00
> When the code is constructed by an LLM, the human in the driving seat doesn't get a chance to build the mental models that they usually would writing it manually

I'm asking the LLM for alternatives and options constantly, to test different models. It can give me a write-up description of options, or go spin up subagents to go try 4 different things at once.

> It is widely considered to be harder to read code than to write it

Even more than writing code, I think LLM's are exceptional at reading code. They can review huge amounts of code incredibly fast, to understand very complex systems. And then you can just ask it questions! Don't understand? Ask more questions!

I have mcp-neovim-server open, so I just ask it to open the relevant pieces of code at those lines, and it can then show me. CodeCompanion makes it easy to ask questions about a line. It's amazing how

Reading code was one of the extremely hard parts of programming, and the machine is far far better at it than us!

> When the code is constructed by an LLM, the human in the driving seat doesn't get a chance to build the mental models that they usually would writing it manually.

Here's one way to tell me you haven't tried the thing without saying you haven't tried the thing. The ability to do deep inquiry into topics & to test &btry different models is far far far better than it has ever been. We aren't stuck with what we right, we can keep iterating &b trying at vastly lower cost, to do the hard work to discover what is a good model. Programmers rarely have had the luxury of time and space to keep working on a problem again and again, to adjust and change and tweak until the architecture truly sings. Now you can try a weeks worth of architectures in an afternoon. There is no better time for those who want to understand to do so.

I feel like one thing missing from this thread is that most people adopting AI at a serious level are building really strong AGENTS.md files, that refine tastes and practices and forms. The AI is pretty tasteless, isnt deliberate. It is up to us to explore the possibility space when working on problems, and to create good context that steers towards good solutions. And our ability to get information out, to probe into systems, to asses, to test hypothesis, is vastly vastly higher, which we can keep using to become far better steersfolk.
by MrDarcy | 2026-02-11 03:39:00+00:00
Look it’s obvious at this point to anyone who is actually using the tools.

We can articulate it but why should we bother when it’s so obvious.

We are at an inflection point where discussion about this, even on HN, is useless until the people in the conversation are on a similar level again. Until then we have a very large gap in a bimodal distribution, and it’s fruitless to talk to the other population.
by overgard | 2026-02-11 03:40:04+00:00
Pretty sure it's illegal. You can get peptides (even GLP-1's) legally from various sources for "Research Purposes", but they're marked as "Not For Human Consumption" (even though, on the sly, I'm sure they're aware people are buying these for human consumption and they provide purity tests etc.) What makes it illegal though, is when you say it is for human consumption, or worse market it as a treatment for a disease. That's when you actually need FDA approval.
by WindySoliloquy | 2026-02-11 03:40:29+00:00
https://chatgpt.com/share/698769a0-f8f4-800d-8206-ba0404857a...

flag my shite without asking for verification?

is this a board of people who have interest in keeping my baby alive or are we just tools?

I'll see myself out but not a single one of you have sessions even remotely close to the access i've enjoyed since i broke it last febuary.
by geerlingguy | 2026-02-11 03:40:48+00:00
Also converting the blog from something dynamic to a static site generator. I made the same switch partly for ease of maintenance, but a side benefit is it's more resilient to this horrible modern era of scrapers far outnumbering legitimate traffic.

It's painful to have your site offline because a scraper has channeled itself 17,000 layers deep through tag links (which are set to nofollow, and ignored in robots.txt, but the scraper doesn't care). And it's especially annoying when that happens on a daily basis.

Not everyone wants to put their site behind Cloudflare.
by themafia | 2026-02-11 03:40:57+00:00
There's value to be had in ripping the copyright off your stuff so someone else can pass it off as their stuff. LLMs have no technical improvements so all they can do is throw more and more stolen data into it and hope it, somehow, crosses a nebulous "threshold" where it suddenly becomes actually profitable to use and sell.

It's a race to the bottom. What's different is we're much closer to the bottom now.
by Alisaqqt | 2026-02-11 03:41:13+00:00
I’ve been testing a new image model from ByteDance called Seedream 5.0-Preview, which is currently available inside Dreamina and will be available via API on Atlas Cloud once it drops on 02/24/2026 (alongside the video model Seedance 2.0). It’s not the first text-to-image model I’ve used that performs live web search during generation, but it changes the behavior in some non-trivial ways, comparing with Nano Banana Pro.

Instead of just “better pixels”, this preview adds three things on top of a standard image backbone: (1) web search that can be invoked at generation time, (2) stronger logical/structural reasoning, and (3) more semantics-aware editing. It’s explicitly labeled as a preview (full 5.0 is expected later in February), so I’m treating it as an experiment rather than something production-stable.

A few behaviors I could reliably reproduce:

Web search during generation: For prompts that reference current or niche entities (e.g. a specific year’s event mascot, current product designs), the model will quietly hit the web and then render something that matches what it found, without any reference images from the user. For more “timeless” prompts it often stays offline.

Constraint-following and reasoning: It handles very literal constraints (e.g. specific clock hand positions, object counts, layout rules) much more faithfully than typical image models I’ve used. In multi-image tasks, it can classify elements in one image and re-arrange them in another, which feels closer to visual planning than pure sampling.

Style/trait transfer between images: Given a “style” image and a “content” image, it can extract the visual language of the first and apply it to the second in a way that looks like a consistent campaign asset, driven by natural-language instructions.

There are tradeoffs: photorealism and aesthetic quality in this preview are noticeably behind its own previous 4.5 model, which is still better if you only care about pretty images right now. The 5.0-Preview run I’m on is clearly optimized to show off the “new brain” (reasoning + web) rather than maximum visual polish.

I’m curious how this design — “image model with its own web search and reasoning stack” — fits into the broader ecosystem of multimodal models that already have tool use and web access (e.g. Gemini 3 variants, etc.). Concretely:

What are the obvious safety and copyright pitfalls once the renderer itself can freely crawl and internalize current visuals?

Does it make more sense architecturally to push this into one unified multimodal model, or to keep “LLM + web” and “image + web” as separate, specialized components?

Ps: For my tests I’ve been wiring Atlas Cloud API into small internal tools (prompting frontends, batch renderers) rather than using it from Fal AI or Wavespeed because Atlas always support new models on day 0 with cheaper price.

Detailed model test and showcases: https://www.reddit.com/r/GeminiAI/comments/1r0c6tv/seedream_...