lambda

It looks to me like this is a hosted version of OpenClaw, so you don't need to figure out how to set it up yourself.

> I wrote this comment the same way. The LLM fixed 14 grammar mistakes that I think would distract readers more than any LLM-ish phrasing.

I don't think that assumption is correct. As you can see by the discussion we're having here, the LLM "fixed" text is actually quite distracting, while text written by a reasonably proficient non-native speaker is generally perfectly readable. It's only if your English is extremely poor to non-existant that it makes more sense to use machine translation or editing rather than writing it yourself.

One problem is that people are becoming quite sensitive to slop, where people just post completely unreviewed, AI generated text. It's quite frustrating, because it's asking readers to read something that no one has ever bothered to write, and it frequently crowds out discussion that people are more interested in. So everyone is kind of hyper-sensitive to signs of AI written text right now, which means when you start to see such signs, your brain moves over to trying to interpret whether it's AI generated rather than reading the text itself.

One thing to keep in mind is that a lot of non-native English speakers use LLMs to translate to English, or to polish their English prose; they may not realize that it causes the translation to come out in a very LLM-style tone. Not sure if that's the case here, but it looks like OP is a native Chinese speaker so may be using tools to translate to English.

It's GenAI. It does something that's kind of like what you asked it to do, but it will skip some details or add other ones or whatever.

Dreary architectural pictures will be more likely to have electrical boxes, poor materials, etc, so when it moves the buildings from the latent space for cheery bright architectural renderings to dreary wet November architectural renderings, it will be more likely to add some of those details, because that's what's in its latent space.

Don't expect GenAI to be magic.

Yes, vibe coded. The author has posted several other articles about this whole vibe coding project, like this one: https://campedersen.com/brep-kernel

I'm guessing by selling fine-tuning, consulting on hosting, and other services? They also seem to be offering their own inference service with their model, obviously as an open weight model that will be commoditized but I'm sure there are some people who'd prefer to buy from the originating lab. But yeah, when you're offering open weights models, your customers are going to be people who want to self-host, fine tune, etc, so they might be offering services for that.

A man was just shot in the street by the US government for filming them, while he happened to be carrying a legally owned gun. https://www.pbs.org/newshour/nation/man-shot-and-killed-by-f...

Earlier they broke down the door of a US citizen and arrested him in his underwear without a warrant. https://www.pbs.org/newshour/nation/a-u-s-citizen-says-ice-f...

Stephen Colbert has been fired for being critical of the president, after pressure from the federal government threatening to stop a merger. https://freespeechproject.georgetown.edu/tracker-entries/ste...

CBS News installed a new editor-in-chief following the above merge and lawsuit related settlement, and she has pulled segments from 60 Minutes which were critical of the administration: https://www.npr.org/2025/12/22/g-s1-103282/cbs-chief-bari-we... (the segment leaked via a foreign affiliate, and later was broadcast by CBS)

Students have been arrested for writing op-eds critical of Israel: https://en.wikipedia.org/wiki/Detention_of_R%C3%BCmeysa_%C3%...

TikTok has been forced to sell to an ally of the current administration, who is now alleged to be censoring information critical of ICE (this last one is as of yet unproven, but the fact is they were forced to sell to someone politically aligned with the president, which doesn't say very good things about freedom of expression): https://www.cosmopolitan.com/politics/a70144099/tiktok-ice-c...

Apple and Google have banned apps tracking ICE from their app stores, upon demand from the government: https://www.npr.org/2025/10/03/nx-s1-5561999/apple-google-ic...

And the government is planning on requiring ESTA visitors to install a mobile app, submit biometric data, and submit 5 years of social media data to travel to the US: https://www.govinfo.gov/content/pkg/FR-2025-12-10/pdf/2025-2...

We no longer have a functioning bill of rights in this country. Have you been asleep for the past year?

The censorship is not as pervasive as in China, yet. But it's getting there fast.

> how do you install packages/pull images

You pre-build the images with packages installed beforehand, then use those image offline.

> although we get the very occasional complaint about wanting a dev environment that works offline

It's only occasional because the people who care about dev environments that work offline are most likely to just skip you and move on.

For actual developer experience, as well as a number of use cases like customers with security and privacy concerns, being able to host locally is essential.

Fair enough if you don't care about those segments of the market, but don't confuse a small number of people asking about it with a small number of people wanting it.

That was a shitpost, it wasn't harassment.

And he apologized to you and handed the domain over to you.

And now you've decided, 8 years later, to blow up your relationship with a number of other folks in the industry, over a shitpost and some mild criticism?

Please, for the love of god, just drop this whole thing. Dredging this up from years ago has lost you a supplier of a popular product already, and a number of customers. I know a bunch of people who used to want to buy from the cool woman owned hacker manufacturer, and now won't touch it with a 10 foot pole after everything you've done.

And please, for the love of god, stop hiding behind Limor when people are criticizing you. You have repeatedly claimed that people are harassing Limor, when every single piece of criticism I've seen here has been directed at you or the Adafruit social accounts that you post through. And stop using your child as a shield as well.

You are a public figure, and sometimes people are going to disagree with you. They might find your use of GenAI image models to be problematic. They may find your over-hyping of drama happening in the open source hardware community to be a bit much. But you know what? That's OK. People can disagree with you, and make jokes about that disagreement.

But claiming that you are being harassed because people occasionally make a joke at your expense, blowing up relationships with your suppliers, driving away customers because you expose emails and deadnames (or legal names, in cases where people go by pseudonyms online), and doing it all while using your wife and child as a shield is not very professional behavior.

Step back, take a deep breath, pick your battles, own up to your mistakes, apologize for the places where you've gone wrong, and stop using your wife and child as a shield, and maybe you can repair some of this reputational damage. But you really need to get some distance from this.

I eat meat (beef, pork, poultry, and fish) maybe three or four meals a week, and probably about 6 to 8 oz per meal when I eat it. So on a per day basis, yeah, I probably eat about 3-4 ounces of meat per day.

But the source you were quoting was about beef alone. So these are people who eat more beef daily than I eat of any meat.

Thanks, the repo link works now!

And I had been looking at it on mobile, which might have been why I was having an issue with the site; now that I'm looking at the site on a desktop browser it looks much better.

I think you're referring to Figure ES-1 in that paper, but that's kind of a summary of different estimates.

Figure 1.1 is the chart I was referring to, which are the data points from the original sources that it uses.

Between 2010 and 2020, it shows a very slow linear growth. Yes, there is growth, but it's quite slow and mostly linear.

Then the slope increases sharply. And the estimates after that point follow the new, sharper growth.

Sorry, when I wrote my original comment I didn't have the paper in front of me, I linked it afterwards. But you can see that distinct change in rate at around 2020.

I get a 404 for that repo; is it private?

Also, the page you link to in the original post is in German; it might be nice to have an English page for the mostly English speaking audience here on HN

Data center power usage has been fairly flat for the last decade (until 2022 or so). While new capacity has been coming online, efficiency improvements have been keeping up, keeping total usage mostly flat.

The AI boom has completely changed that. Data center power usage is rocketing upwards now. It is estimated it will be more than 10% of all electric power usage in the US by 2030.

It's a completely different order of magnitude than the pre AI-boom data center usage.

Source: https://escholarship.org/uc/item/32d6m0d1

RMS famously lived out of his office at MIT for a while.

Yeah, probably asking on LMArena makes this an invalid benchmark going forward, especially since I think Google is particular active in testing models on LMArena (as evidenced by the fact that I got their preview for this question).

I'll need to find a new one, or actually put together a set of questions to use instead of just a single benchmark.

I've tried doing this query with search enabled in LLMs before, which is supposed to effectively do that, and even with that they didn't give very good answers. It's a very physical kind of thing, and its easy to conflate with other similar descriptions, so they would frequently just conflate various different things and give some horrible mash-up answer that wasn't about the specific thing I'd asked about.

The thing is, I see people use it for tricky niche knowledge all the time; using it as an alternative to doing a Google search.

So I want to have a general idea of how good it is at this.

I found something that was niche, but not super niche; I could easily find a good, human written answer in the top couple of results of a Google search.

But until now, all LLM answers I've gotten for it have been complete hallucinated gibberish.

Anyhow, this is a single data point, I need to expand my set of benchmark questions a bit now, but this is the first time that I've actually seen progress on this particular personal benchmark.

Yeah, that's part of why I don't disclose.

Obviously, the fact that I've done Google searches and tested the models on these means that their systems may have picked up on them; I'm sure that Google uses its huge dataset of Google searches and search index as inputs to its training, so Google has an advantage here. But, well, that might be why Googles new models are so much better, they're actually taking advantage of some of this massive dataset they've had for years.

I'm a significant genAI skeptic.

I periodically ask them questions about topics that are subtle or tricky, and somewhat niche, that I know a lot about, and find that they frequently provide extremely bad answers. There have been improvements on some topics, but there's one benchmark question that I have that just about every model I've tried has completely gotten wrong.

Tried it on LMArena recently, got a comparison between Gemini 2.5 flash and a codenamed model that people believe was a preview of Gemini 3 flash. Gemini 2.5 flash got it completely wrong. Gemini 3 flash actually gave a reasonable answer; not quite up to the best human description, but it's the first model I've found that actually seems to mostly correctly answer the question.

So, it's just one data point, but at least for my one fairly niche benchmark problem, Gemini 3 Flash has successfully answered a question that none of the others I've tried have (I haven't actually tried Gemini 3 Pro, but I'd compared various Claude and ChatGPT models, and a few different open weights models).

So, guess I need to put together some more benchmark problems, to get a better sample than one, but it's at least now passing a "I can find the answer to this in the top 3 hits in a Google search for a niche topic" test better than any of the other models.

Still a lot of things I'm skeptical about in all the LLM hype, but at least they are making some progress in being able to accurately answer a wider range of questions.

This is an experimental homebuilt aircraft, so the regulations on manufacture and replacement parts are much less stringent than commercially sold aircraft.

Also, the part it was replacing was a fiberglass part in an epoxy resin, with a glass transition temperature of 84°C. So the 105°C glass transition temperature of the replacement part should have been better than the original.

However, the original had an aluminum tube supporting the inlet, which provided extra structural support beyond fiberglass epoxy resin. And upon testing, the actual glass transition temperature of the 3D printed part was 52.8°C for one sample and 54.0°C for another, so much lower than expected.

Now, because the regulations are much less strict for experimental homebuilt aircraft, there may not be the traceability to figure out where in the chain the issue came up. Was it a bad batch of filament? Did the person making the part use the wrong kind of filament? Who should have tested the glass transition temperature of a coupon of the same material as the replacement part? Did the 3d printed material glass transition temperature change over time, possibly due to something like fuel or exhaust fumes?

The recommendation from this report is to disallow 3d printed replacements for this part, but it should be possible to do with the right material and proper testing and analysis (as well as leaving in the aluminum tube for additional support), as this is an air intake and it should be possible to find a 3d printed material that can withstand the kind of temperatures an air intake is subjected to, given that the original part is a fiberglass with epoxy resin.

All of this sounds like something you could just do yourself after putting a piece down for a day or two and coming back to it with fresh eyes. What benefit is there of cooking the oceans with a bullshit generator?

Like, sure, it's possible to do this with an LLM, but it's also possible to do it without, at roughly similar levels of effort, without contributing to all of the negative externalities of the LLM/genAI ecosystem.

Do you think it would show ads, or just prioritize content based on who has paid for ad placement?

That's one of the big problems with any kind of AI alignment or safety work.

Safety for whom? Alignment to whose needs?

And a lot of time, that's contextual. You don't necessarily want to be effortlessly crafting novel exploits for a ransomware attacker, but you do want to be able to create a PoC exploit when deciding the severity of a CVE.

Or one valid use of an LLM is to craft examples of various kinds of abuse for training some smaller simpler model as a classifier.

So yeah, in trying to create a general purpose tool and then applying some notion of alignment or safety, you are automatically limiting some use cases that are valid for certain people.

Please, when commenting on the title of a story on HN: include the title that you are commenting on.

The admins regularly change the title based on complaints, which can be really confusing when the top, heavily commented thread is based on the original title.

According to the Wayback machine, the title was "OpenAI ends legal and medical advice on ChatGPT", while now when I write this the title is "ChatGPT terms disallow its use in providing legal and medical advice to others."

It's incoherent. It simply makes no sense at all that Ghislaine Maxwell, a wealthy socialite, would post a bunch of stuff on Reddit for years to accumulate meaningless internet points, under something based on her own name, while somehow also trying to be anonymous.

This is a simply incoherent theory. There's no sense in it. You don't post "anonymously" under your own name.

This goes into far more detail on the individual claims from the original conspiracy theory: https://coagulopath.com/ghislaine-maxwell-does-not-have-a-se...

But it really doesn't take this much detail to realize that this conspiracy theory is incoherent, at a surface level it just makes no sense at all.

The entirety of the "evidence" is standard conspiracy stuff, of making vague generalizations, bad interpretations, cherry picking data, etc.

I can't believe people are this gullible.

Yes, the mod stopped posting publicly around the time she went to prison. That seems to have been the catalyst for the conspiracy theory.

But it was actually a couple days apart; he stopped posting before she went to prison. And he actually posted to some private subs, and was involved in some DMs, after he stopped posting publicly and after she went to prison.

There's really very little evidence other than a vague coincidence of when he left Reddit and when she went to prison, and the name.

And, like, if she were posting anonymously, why would she use that name?

It's basically just completely incoherent. Like many conspiracy theories, they take a lot of other random data points, and if you sift through and cherry pick enough data points you can find others that taken out of context look like coincidences. But that's just because you're cherry picking between two large distributions of data.

TIL that there's a conspiracy theory that Ghislaine Maxwell is the same person as power mod MaxwellHill.

Seems like a pretty incoherent conspiracy theory. What a weird thing to believe.

Isn't that just... the setup in this article?

Like, yeah, there's some sketchy stuff with connecting those loads to this over extension cords snaked all around the house, but this setup is basically what you're asking for.