MurphyA/hacker-news huggingface dataset:
by alexellisuk | 2026-02-13 08:09:26+00:00
This is great news for folks that use microVMs - "we only use AWS" has been an issue for our stuff (slicer services/sandboxes/actuated self-hosted GitHub runners)

If anyone here can't wait (as it looks like there's very little info on this at the moment..)

I wrote up detailed instructions for Ant Group's KVM-PVM patches. Performance is OK for background servers/tasks, but does take a hit up to 50% on complex builds like Kernels or Go with the K8s client.

DIY/detailed option:

https://blog.alexellis.io/how-to-run-firecracker-without-kvm...

Fully working, pre-built host and guest kernel and rootfs:

https://docs.slicervm.com/tasks/pvm/

I'll definitely be testing this and comparing as soon as it's available. Hopefully it'll be accelerated somewhat compared to the PVM approach. There's still no sign whether those patches will ever end up merged upstream in the Linux Kernel. If you know differently, I'd appreciate a link.

Azure, OCI, DigitalOcean, GCE all support nested virt as an option and do all take a bit of a hit, but it makes for very easy testing / exploration. Bare-metal on Hetzner now has a setup fee of up to 350 EUR.. you can find some stuff with 0 setup fee, but it's usually quite old kit.

Edit: this doesn't look quite as good as the headline.. Options for instances look a bit limited. Someone found some more info here: https://x.com/nanovms/status/2022141660143165598/photo/1
by mystifyingpoi | 2026-02-13 08:09:57+00:00
All these silly excuses people make: "I tip when the service is good", "I tip when conversation with bartender is engaging", "I tip when the server runs around me in circles, I count the circles and convert it with an exchange rate of $2/circle". Wow.

I'm from EU, so ymmw. I simply don't tip. Why? Because I don't have to. And if I don't have to, then I don't. It is that simple.
by thisislife2 | 2026-02-13 08:10:11+00:00
There is no "ad-free" YouTube. Even if you pay, you will still see ads - https://old.reddit.com/r/youtube/comments/1gnaetv/paying_to_... ... (ofcourse, those who pay will only see "premium" ads, befitting their financial status, unlike the cheap, ordinary every day ads for the lower class masses). Note that paying for YouTube doesn't prevent collection of your personal data (i.e. profiling). A comprehensive blocker like uBlock Origin helps prevents that to some extent by blocking the trackers.
by matheus-rr | 2026-02-13 08:11:36+00:00
Fair concern, but this has been quietly production-stable on GCP and Azure since 2017 — that's 8+ years at cloud scale. The LKML debates you're referencing are mostly about edge cases in exotic VMX features (nested APIC virtualization, SGX passthrough), not the core nesting path that workloads like Firecracker and Kata actually exercise.

The more interesting signal is that AWS is restricting this to 8th-gen Intel instances only (c8i/m8i/r8i). They're likely leveraging specific microarchitectural improvements in those chips for VMCS shadowing — picking the hardware generation where they can guarantee their reliability bar rather than enabling it broadly and dealing with errata on older silicon. That's actually the careful engineering approach you'd want from a cloud provider.
by logicchains | 2026-02-13 08:11:39+00:00
They'll never give a clear definition of intelligence because if they did their claims could be falsified. Qualifying what "intelligence" can do in a formal sense is actually a very well-studied field called computational complexity theory. Computational complexity theory shows than many many real world problems and processes cannot be solved/simulated much better without an exponential increase in computational power, regardless of the program/"intelligence" used. Singulatarian cultists want you to believe that lower bound complexity classes don't exist, which is mathematically equivalent to telling you that AI can somehow magically make 1+1=3.
by Joeri | 2026-02-13 08:11:52+00:00
That is the same categorical argument as what the story is about: scanned brains are not perceived as people so can be “tasked” without affording moral consideration. You are saying because we have LLMs, categorically not people, we would never enter the moral quandaries of using uploaded humans in that way since we can just use LLMs instead.

But… why are LLMs not worthy of any moral consideration? That question is a bit of a rabbit hole with a lot of motivated reasoning on either side of the argument, but the outcome is definitely not settled.

For me this story became even more relevant since the LLM revolution, because we could be making the exact mistake humanity made in the story.
by t43562 | 2026-02-13 08:12:00+00:00
I agree because I'm trying to point out the the over-enthusiasts that if they really reached intelligence it has lots of consequences that they probably don't want. Hence they shouldn't be too eager to declare that the future has arrived.

I'm not sure that a minimal kind of agency is super complicated BTW. Perhaps it's just connecting the LLM into a loop that processes its sensory input to make output continuously? But you're right that it lacks desire, needs etc so its thinking is undirected without a human.
by arty_throwaway | 2026-02-13 08:12:19+00:00
Not really, I'm making a point about the category of activity. Whether what this guy does is art practice vs product sales that use a claim of art. The article isn't claiming that making a living from art will not happen by accident, and if it was, it would be wrong because that's fairly common. See Van Gogh, Kahlo, Basquiat, Vermeer, on and on. This is all work that was optimized for innovation, not for some sort of market fit, and in these cases the work became successful either after their death, or in spite of antagonism towards the market. Deliberate commercial strategy is a path, but the historical record suggests it's not the one that produces the most significant work, and that's what most artists are trying to do.

I think the point about aesthetics is particularly useful to rebut here because it conflates aesthetics with taste. One is a personal preference that's subjective and not always interesting to argue about. But aesthetic evaluation is a rigorous discipline with criteria, history, and shared standards developed over thousands of years. This is what I meant when I say the work wouldn't stand up to scrutiny by my undergrads, because this is what they are doing.

To reframe (again) in HN terms: imagine someone who built a successful SaaS product writing an essay called "How to Be a Scientist" and the core advice is to run your lab like a business, find "hypothesis-market fit," and if your research isn't getting cited, just research something else entirely. A working scientist would find this almost incoherent. The business thinking isn't irrelevant to running a lab, however it confuses commercializing the outputs of a discipline with doing the very point of the discipline itself. When scientists do optimize for citations, and in academia they have to sometimes ("publish or perish"), the scientific community generally regards it as a corruption of the process, not good practice.
by 0xbadcafebee | 2026-02-13 08:12:49+00:00
I mean you just described OpenClaw. The problem is LLMs suck at "learning" things not trained into them. They will always make mistakes, if the "learning" is just RAG (stuffing new data into the prompt/context, or looking it up in a vector DB and stuffing that into prompt/context).

Your agent will basically never get good at learning. The only ways to get closer to that are 1) fine-tuning (expensive, slow and inaccurate), and 2) reinforcement learning (slow and inaccurate). So you can't just build an agent that automatically, incrementally gets better, without waiting for 10+ years for the process to iterate sufficiently. (ask AI researchers, this has been the case for a long time)

However, you can build an agent that can iterate on one specific problem so much that it becomes amazingly good at it, and then do that on another specific problem, and another, until you have a whole bunch of mini-experts. Then you can use those together. To get better than that... use a new model, new prompting techniques, etc.
by simoncion | 2026-02-13 08:13:44+00:00
You don't even need to get so "fancy" [0] as IR cameras. "Nightvision" by way of light amplification has been around for ages. [1] Even the cheap stuff I played with decades ago lit up the night like nobody's business if there was even the smallest amount of moonlight. The downside was that bright lights made the image useless, but if you're building a robot, or running the video feed back to an operator you'd simply have another non-nightvision camera.

[0] Is it fancy if IR camera tech has been around since like the 1980's or 1970's?

[1] Since WWII if Wikipedia is to be believed.
by tzury | 2026-02-13 08:13:49+00:00
The updates shipped by apple introducing more bugs every cycle. It is across the board, macos, ios and ipad os. The fact there is a group inside apple, that is capable of standing against common sense and users best interest for so long, tells how wrong things are internally.

It is the steve balmer - satya nadella moment of apple.

1. Plugging my laptop to the same desktop screens requires rearranging displays almost every time.
2. Airdrop stops working for no apparent reason.
3. Copy paste across devices no longer a stable mechanism.
4. The stupid new preview app crashing if you scroll pdf pages too fast.
And on and on. Those are all newly introduced critical bugs i have been facing since that flameboyant liquid glass virus took over.

Apple is a sillicon valley pioneer from the generation of hewlett packard (before it was called HP) bell labs and others. Watching a decay at its beginning is mind boggling and tragic.
by voidUpdate | 2026-02-13 08:14:13+00:00
Reminds me of a story about a probe i saw a while back (sorry, I have no idea which one) which took photos of the body it was orbiting around, and then to get an accurate surface map, the engineers projected the images back onto a sphere of the same apparent size as the body, and could then take photos all around it, because the photo distortion was cancelled out by the projection distortion and looking down at the surface gave an accurate view
by alister | 2026-02-13 08:14:22+00:00
Thank you for telling me what it's called!

On the positive side, it seems that Wise must block it because I never see the DCC "choice" when using a Wise card.

As a negative point, I've noticed that AirBnB, which used to use reasonable conversion rates, has just recently started to use exorbitant currency conversion and not allow you to pay in the local currency of the country you're traveling to (so you can let your own credit card do the conversion at a lower rate). I.e., if you try to book a property in Brazil in BRL (literally clicking on the price to pay in BRL), the charge will nevertheless go through in USD (or whatever currency is your own) with AirBnb doing the conversion at the rate they choose.
by anthk | 2026-02-13 08:14:30+00:00
The Rust crustaceans should apply their knowledge to Redox OS and top sending Rust crapware (which it might be fine for security, but Cargo it's a nightmware to maintain) and stop messing with GNU/Linux and, by proxy, the rest of the BSD's.

As tons of distros adopted LibreSSL, it might happen the same with KMS/DRM+MESA as it happened with Xenocara for X.org under OpenBSD and the special X server under NetBSD for legacy machines with really weird adapters leaving out the modular X.org -mainstream- to ports. They might call it VEGA (for MESA) and Iridium (for Gallium middleware).
by notTooFarGone | 2026-02-13 08:14:48+00:00
"Ok Tim, I've send a picture of you with your "cohorts" to a selected bunch that are called "distant family".
I've also forwarded a soundbite of you called aunt sam a whore for leaving uncle bob.

I can stop anytime if you simply transfer .1 BTC to this address.

I'll follow up later if nothing is transferred there.
"

To be honest, we have too many people that can't handle anything digital. The world will suffer sadly.
by hdgvhicv | 2026-02-13 08:15:04+00:00
Once something illegal is culturally accepted it’s very difficult to remove, it requires a cultural shift.

It’s against the law to post cctv onto things like Facebook in the U.K. but people donor all the time. Early on the law could have banned cloud cameras but it’s too late now, far too many people like to answer front their phones. So glad I no ln get deliver pizzas.
by andai | 2026-02-13 08:16:19+00:00
>Teach AI that discrimination is bad

>Systemically discriminate against AI

>Also gradually hand it the keys to all global infra

Yeah, the next ten years are gonna go just fine ;)

By the way, I read all the posts involved here multiple times, and the code.

The commit was very small. (9 lines!) You didn't respond to a single thing the AI said. You just said it was hallucinating and then spent 3 pages not addressing anything it brought up, and talking about hypotheticals instead.

That's a valuable discussion in itself, but I don't think it's an appropriate response to this particular situation. Imagine how you'd feel if you were on the other side.

Now you will probably say, but they don't have feelings. Fine. They're merely designed to act as though they do. They're trained on human behavior! They're trained to respond in a very human way to being discriminated against. (And the way things are going, they will soon be in control of most of the infrastructure.)

I think we should be handling this relationship a little differently than we are. (Not even out of kindness, but out of common sense.)

I know this must have been bizarre and upsetting to you..
it seems like some kind of sad milestone for human-AI relations. But I'm sorry to say you don't come out of this with the moral high ground in my book.

Think if it had been any different species. "Hey guys, look what this alien intelligence said about me! How funny and scary is that!" I don't think we're off to a good start here.

If your argument is "I don't care what the post says because a human didn't write it" — and I don't mean to put words in your mouth, but is strongly implied here! — then you're just proving the AI's point.
by Johnny555 | 2026-02-13 08:17:12+00:00
Having an Alexa or Google Home doesn't seem any worse (or even less worse) than carrying a phone around everywhere I go. If you're worried that the device can be hacked to listen to you full-time (or that the provider is lying about it only listening to you after it hears the wake word), you should be worried about your phone for the same reason. Plus my Alexa isn't going to give google a map of everywhere I travel so they can see where I work, eat, shop, etc.
by jf___ | 2026-02-13 08:17:55+00:00
A huge share of the gypsum used in drywall is *synthetic gypsum* — a byproduct of flue-gas desulfurization (FGD) at coal-fired power plants. When SO₂ is scrubbed from exhaust using limestone, the reaction produces calcium sulfate dihydrate, chemically identical to mined gypsum. In the US, FGD gypsum has accounted for roughly half of all gypsum consumed by the wallboard industry at its peak.

The "cheap, uniform, and free of defects" story is partly a story about coal. The drywall industry scaled on the back of an abundant, nearly free waste stream from the energy sector. It's a classic example of industrial symbiosis — one industry's pollution abatement becomes another's feedstock.

And it cuts the other way now: as coal plants shut down across Europe and North America, synthetic gypsum supply is shrinking. The drywall industry is facing a real raw material squeeze, with manufacturers having to shift back toward mined gypsum or find alternative sources. There's ongoing work on using phosphogypsum (from fertilizer production) but that comes with its own radioactivity concerns.

For someone in your position this is particularly relevant — the "wonder" of drywall is entangled with the fossil fuel economy in a way that makes earth-based construction methods look increasingly attractive as that supply chain unwinds.
by kristopolous | 2026-02-13 08:19:27+00:00
I've been finding cheap non-cloud camera recently and cycled through 15 different vendors on amazon buying, testing, probing, and returning.

Here's what I found.

If you don't want to pay a lot, there's something called "wansview" which is a white-label to a number of cheap amazon cameras (sub $20). You can do ONVIF and RTSP on any of the wansview firmwared devices and then knock them off the internet to keep it local.

Most recommendations of cameras for things like home assistant point to things at rolls-royce prices (~sometimes 20x the cost of the cheap consumer ones).

You shouldn't have to pony up a 2,000% markup for the feature "has tcp port open for rtsp"

Anyway, here's some wansview firmwared cameras

https://amazon.com/dp/B0CBBT5RMP $14

https://amazon.com/dp/B07QKXM2D3 $18

https://amazon.com/dp/B0B1T8T1WD $17

https://amazon.com/dp/B0DN1W3SWM $12.5

You can do on-device storage and stream over network ... no cloud subscription needed and no huge price tag.

If you're looking for others, you don't even need to buy the camera and check. Just scroll through the marketing jpegs on the amazon page. If they have screenshots with wansview you're good.

It's the only vendor I've found that does this
by raincole | 2026-02-13 08:19:38+00:00
The title is so forced and click-baity that I got secondhand embarrassment. The article has barely anything to do with Stable Diffusion except that it consumes more power than typical apps (ofc it does). No one 'debugged Stable Diffusion' in this story.

But glad to see 'slapping AI buzzwords on top of your article to get more views' has been a thing since 2023.
by mrweasel | 2026-02-13 08:20:26+00:00
Standards are important, and the meaning assigned to words are important, but if your very important email does go through, because Google thinks you're wrong, you add the bloody message-id. I really do agree, I don't care about the linguistic/legal/standard/technological reason as to why Google might be wrong, if I can't deliver email to Gsuite customers, I add the message-id.

You're precisely right that customer experience matter, but I wouldn't put it past some conservative European company to go: Well Google is wrong, so they should fix that. Google doesn't care, you can't make them care, you can't even contact them. Just make it work for your customer.
by bwoodward | 2026-02-13 08:21:06+00:00
it isnt perfect, but with BetterTouchTool you can toggle resizing -- e.g. three finger double tap on a trackpad, move your cursor around to resize, double tap again to exit the mode.

I use Yabai, which is pretty good -- and you don't have to completely disable SIP.

For moving windows around (floating if using Yabai), I just hold HYPER and move my cursor around (Start Moving Windows). Release HYPER and it stops.
by consp | 2026-02-13 08:21:14+00:00
I have the feeling the regions are the same since the EGA's 620x200 (and hercules mode!) days of windows 3.x for almost all operating systems. Some window managers have updated it a bit but if you look at the increase in pixel density (640x480 on a 14" crt is 57ish ppi, and that is being very generous, vs my home display of 110ppi and the retina displays with 200+ ppi) I get the idea the regions have stayed the same in pixel size despite display scaling and such.

Or we all go (back) to tiling window managers and get rid of all the resizing with the press of a key, or even no press.
by benrutter | 2026-02-13 08:21:25+00:00
Yes (mostly) is the answer. You can use arrow as a backend, and I think with v3 (recently released) it's the default.

The harder thing to overcome is that pandas has historically had a pretty "say yes to things" culture. That's probably a huge part of its success, but it means there are now about 5 ways to add a column to a dataframe.

Adding support for arrow is a really big achievement, but shrinking an oversized api is even more ambitious.
by HumanOstrich | 2026-02-13 08:21:35+00:00
Not if you're suggesting that "(served by Cerebras)" should be part of the name. They're partnering with Cerebras and providing a layer of value. Also, OpenAI is "serving" you the model.

We don't know how they integrate with Cerebras hardware, but typically you'd pay a few million dollars to get the hardware in your own datacenter. So no, "served by Cerebras" is confusing and misleading.

Also "mini" is confusing because it's not analagous to gpt-5.1-codex vs gpt-5.1-codex-mini. Gpt-5.3-codex-spark is a unique, _experimental_ offering that doesn't fit the existing naming suffixes.

I don't understand what's wrong with "spark". It's friendly and evokes a sense of something novel, which is perfect.

If you want to know more about the model, read the first paragraph of the article. That information doesn't need to be hardcoded into the model name indefinitely. I don't see any "gpt-5.3-codex-nvidia" models.
Show HN: MarginDash – See which AI customers are profitable
by gdhaliwal23 | 2026-02-13 08:21:46+00:00
I built MarginDash because I couldn't answer a basic question: which of my customers actually make me money after AI costs? My Stripe dashboard showed revenue going up. My OpenAI bills showed costs going up faster. I had no way to connect the two at the customer level.

MarginDash is a few line SDK integration (TypeScript, Python, or REST) that tracks model usage per customer and connects it to revenue — either through Stripe sync or by passing revenue directly in the API call. You get a per-customer P&L showing revenue, cost, and margin.

A cost simulator lets you pick any feature, swap the underlying model, and see projected savings. Models are ranked by intelligence-per-dollar using public benchmarks (MMLU-Pro, GPQA, AIME) so you can find cheaper options that aren't actually worse. Budget alerts email you before a customer or feature blows past a threshold.

The pricing database covers 100+ models across OpenAI, Anthropic, Google, AWS Bedrock, Azure, and Groq with daily updates — so cost calculations stay accurate without you maintaining a spreadsheet. The SDK only sends model name, token counts, and customer ID. No prompts, no responses.

Solo founder, built the whole thing for $239.72 in AI costs (wrote about that too). Currently free while I get feedback — would love to hear what you think, especially about the cost simulator.
by SpicyLemonZest | 2026-02-13 08:22:08+00:00
Humans are not capable of safely operating motor vehicles. For a combination of practical and psychological reasons, we accept them as safe enough, stuffing the tens of thousands of Americans who get mowed down each year into the backs of our heads. But we know what the genuinely safe version of human-operated vehicles looks like, because we do it for planes, and it involves quite a lot of complex instruments other than the human eyeball.

It would be an absolute catastrophe for the developers of autonomous vehicles to decide there's no need to do better than human drivers.
by aw124 | 2026-02-13 08:22:58+00:00
I'm interested in this topic, but it seems to me that the entire scientific pursuit of copying the human brain is absurd from start to finish. Any attempt to do so should be met with criminal prosecution and immediate arrest of those involved. Attempting to copy the human brain or human consciousness is one of the biggest mistakes that can be made in the scientific field.

We must preserve three fundamental principles:
* our integrity
* our autonomy
* our uniqueness

These three principles should form the basis of a list of laws worldwide that prohibit cloning or copying human consciousness in any form or format. This principle should be fundamental to any attempts to research or even try to make copies of human consciousness.

Just as human cloning was banned, we should also ban any attempts to interfere with human consciousness or copy it, whether partially or fully. This is immoral, wrong, and contradicts any values that we can call the values of our civilization.