skysight-inc/HackerNews huggingface dataset:
This test feels biased by the fact that, like others have said, macOS provides keyboard shortcuts. For example, I'm only Gen Z and yet have tried for many years to use the proper dash characters in the right places, which is made much easier by virtue of being on a Mac.

Of course, I guess it's entirely possible—even accounting for OS—that this test remains statistically useful. It makes me kinda sad that my (very much human-generated) writing fails the Turing test....
I don't think these things are equivalent at all. We don't understand AI models in much the same way that we don't understand the human brain; but just as decades of different approaches (physical studies, behavior studies) have shed a lot of light on brain function, we can do the same with an AI model and eventually understand it (perhaps, several decades after it is obsolete).
> his experience tells him that he is.

Well, also the entire government said as much, including the the AG, whose belief is a sitting President can't be indicted, and SCOTUS, who claims basically, that the President can't engage in illegal acts.

The only theoretical mechanism left is impeachment, but if the impossible happens and Congress does vote to remove, the administration will ignore it, or have SCOTUS rule against it. It just depends on how above board they care to pretend to make it look.
What does that article have to do with Signal?
He is saying that the USERS (aka the cabinet) should be arrested for disclosure of attack plans.
If I may offer a different perspective: Dagger has always been a general-purpose composition engine, built on container tech. Its most successful use case is CI - specifically taking complex build and test environments, and making them more portable and reproducible. But we never claimed to replace Jenkins or any other CI platform, and we've always been very open with our community about our desire to expand the use of Dagger beyond CI. We also never claimed to replace Docker, or to "be a shell" (note that the title of this HN page doesn't reflect the title of our post in that regard).

Every feature we ship is carefully designed for consistency with the overall design. For example, Dagger Shell is built on the same Dagger Engine that we've been steadily improving for years. It's just another client. Our goal is to build a platform that feels like Lego: each new piece makes all other pieces more useful, because they all can be composed together into a consistent system.
> All user facing LLMs go through Reinforcement Learning. Contrary to popular belief, RL's _primary_ purpose isn't to "align" them to make them "safe." It's to make them actually usable.

Are you claiming that non-myopic token prediction emerges solely from RL, and if Anthropic does this analysis on Claude before RL training (or if one examines other models where no RLHF was done, such as old GPT-2 checkpoints), none of these advance prediction mechanisms will exist?
Thanks! Feel free to reach out, I love to chat about this stuff. Contact info is on my website.
Are most submissions here news stories?
I do all my work in containers, i'm still left asking 'why?'
... a battle which is invoked only when one or other side is in the interests of a corporate or governance entity.
There is almost no whole-grain bread on the market in the US that does not have added sugar.

AIUI this is because the whole wheat flour tends to impart a bitter taste, so the sugar balances it. The sugar also enables the yeast to raise the bread faster, helping mass production.
Some people need to realize we live in a society and society mostly functions by having people do the right thing when defecting is easier and more convenient. This person is one of them.
Pfft, that's still tiny. 180,000 students in my school district.

[Waits patiently for NYC or LA residents to pipe up and show who's really BIG!]
Could you share the background?
Sure. But papers take a really long time to write and go through peer review. I think my paper on collaborative editing took about 4 months from the point where we were done writing to the point at which it appeared on arxiv.

This research was almost certainly done well before Gemma 3 and Deepseek were released.
Two differences:

Best practice now is to not run postinstall scripts by default. Yarn and pnpm allow you to do this (and pnpm at least won’t run them by default) and I believe npm now does too, and is looking at a future where it won’t run them by default.

The other difference is Go had several chances to do better, and they didn’t take any steps to do so.

The maintainers of NPM (the registry and tool) I’m sure would love to make a lot of changes to the ecosystem but they can’t make some of them without breaking too much, and at the scale that NOM operates it’s going to always be playing catch up with work around a and such for previous choices so they don’t say, break hundreds of thousands of CI runs simultaneously.

Go iterated on its package ecosystem several times and ultimately did very little with it. They didn’t make it vastly more secure by default in any way, they were actually going to get rid of vendoring at one point, and a whole host of other SNAFUs.

Go’s packaging and distribution model while simple is extremely primitive and they have yet to really adopt anything in this area that would be beneficial for security
We discuss Buddhist writings. Polite guests would be welcome, but I'm afraid that most would be bored.
Thanks. Added RSS, but WC3 shows some errors. I'll move to plain markdown when I have more time, then this will be easier.
The compose key, for those who use it, also makes it very easy to do em/en dashes, and I use them quite regularly as a result.
Inato Patient Pre-Screening
Signal is distributed as an app. Furthermore, the client is open source, you can see the repositories here:

https://github.com/signalapp

I don't know the latest details about Android/iOS app signing, but presumably reproducible builds + sufficiently strong signing would make it secure enough for most users. For those who are truly paranoid, then can build it themselves (subject to their own device OS's requirements, which are hardly a unique problem to Signal).

In short, Signal's security should be as good as any mobile app can be, and can be even better if you're willing to put in legwork.
these days, the nix vs alts debates remind me of the emacs vs alts debates of yore

I have not yet encountered actual nix usage in my professional or open source work, so I don't see Nix as eating anyone's lunch
> "They never taught us that in high school," is a saying that applies.

Equally likely, the kid just didn't pay attention.
I am genuinely asking because it makes no sense to me that a genetically diverse group are distinctly identifiable by their ribcage bones in an x-ray. If it's something more specific like AI sucks at statistically larger ribcages, statistically noticeable bone densities, or similar, okay. But something like so-small-humans-cannot-tell-but-is-simultaneously-widely-applicable-to-a-large-genetic-population is utterly baffling to me.
Somewhat off topic, however, I'm thoroughly convinced that there is a very high probability something is AI generated when I see Em dashes. Anyone else noticing this?

ChatGPT for example almost always uses them. I'm sure they are more common in academic writing, but its now super common on boards like Reddit.
The demonstration website for the study has the recordings used: https://perception.yale.edu/Brian/demos/Misc-AuditoryFluency...

I would like to know the effect size but can't find the full paper.
Was it ascii art? ;)
I use this as leverage to make calls go faster. I bought the cheapest mic on Amazon, it manages to be over-sensitive to background noises such as my computer fan but still barely captures my voice adequately. It's annoying enough that nobody wants to stay on the call any longer than necessary.
There was a brief moment when Scala seemed like the new Holy Grail. Gawker (the big 2004-2016 online tabloid/blog media group, before FB and Instagram/TikTok fueled by recommendation systems ate everything) transitioned from PHP to Scala!

Scala meetups were full with newcomers! Hadoop and Spark and Big Data[TM] was the thing! Distributed systems, were all the rage! Everyone and their dog was waiting patiently for the next HighScalability post about something even more crazier and bigger than before. People were writing homage posts to The Log post. Kafka was the thing you had to have in your system for it to be worth the napkin it was sketched on! Netflix and Twitter were talking about microservices and releasing all the amazing libraries to handle the load! (Circuit breakers, service discovery, etc.)

And then.

...

AWS and k8s and Go (and later Rust) and just an ungodly amount of hardware and deep learning progress happened.

People slowly realized that the JVM and Hadoop is a mess. (Ultra-low latency GCs like Shenandoah arrived too late.) That kind of Big Data is actually just irrelevant unfiltered shit (and implicit feedback is all you need for recommendation systems) and slowly but surely people started to move to S3 from Hadoop (and in general into the cloud).

And scientists - bless their little non-programmer hearts - did their best and moved from R ... to Python. (And there was already a ton of bindings to low-level linear algebra and tensor libs in Python, and calling into C/C++ was standard from Python - Cython is great - even if technically it's exactly as easy from Scala/JVM.

...

Fundamentally the lack of corporate sponsorship and the main contributors' lack of DX obsession led to the natural consequence of the industry leaving that Scala behind.

(Even though both Rust and Scala are research-heavy just compare how much attention Rust as a project spent on improving DX, including backward compatibility, trying very very hard to avoid py2-3 and scala2.11-2.12-2.13 upgrade speed bumps, and so on.)
Incremental builds in Nix and garnix (2024)
> I have never understood why go fans think “make it easier for beginners” is an important feature.

Well, in the real world a lot of people have to work on teams where many of their co-workers never grow beyond beginner level. So anything that can be done to reduce the burden of having to deal with them is welcome. Not everyone gets to sit in the Silicon Valley ivory tower beside the greats.

> your career lasts 40 years

40 years is a peculiar number. If it is your passion, you should easily be able to see 60-70 years (assuming you live to an average age), and if you are only in it for the paycheque the comparatively high salary offers you retirement long before 40 years comes around.
Right, but this is somewhat different, in that we apply a simple learning method to a big dataset, and the resulting big matrix of numbers suddenly can answer question and write anything - prose, poetry, code - better than most humans - and we don't know how it does it. What we do know[0] is, there's a structure there - structure reflecting a kind of understanding of languages and the world. I don't think we've ever created anything this complex before, completely on our own.

Of course, learning method being conceptually simple, all that structure must come from the data. Which is also profound, because that structure is a first fully general world/conceptual model that we can actually inspect and study up close - the other one being animal and human brains, which are much harder to figure out.

> Basically, in mathematics, you cannot grasp all the details of a vast space just from knowing the axioms which generate it and a few things which follow from them. Elementary school children know what is a prime number, yet those things occupy mathematicians who find new surprises in that space.

Prime numbers and fractals and other mathematical objects have plenty of fascinating mysteries and complex structures forming though them, but so far none of those can casually pass Turing test and do half of my job for me, and millions other people.

--

[0] - Even as many people still deny this, and talk about LLMs as mere "stochastic parrots" and "next token predictors" that couldn't possibly learn anything at all.
Take this on-call rotation and shove it
“Virtual Sun” looks really cool. How much does one cost today? Say if someone wanted to buy a single piece or a few (2-3).
Like anything US based the risk from government is not so much technical correctness but the risk that they (or Google or Apple or whoever distributes the app) could secretly be compelled to do something like distribute a version of Signal that exfiltrates private keys or messages, perhaps based on specific criteria, w/o the user's knowledge. On top of the risks inherent in the underlying platforms (iOS, Android, etc.).

Signal also does not think that warrant canaries pass legal muster.

But it's still probably the best option. And if you're concerned by those risks I think building and auditing the public source code instead of relying on app store distribution would mitigate.
I have a Blue Yeti, an AudioTechnica BPHS1 (headset), a Fifine 688 (cheap Shure SM7B competition), and a Behringer C2 (pencil mic). I have also used "professional equipment" sent from studios for me to record with.

The professional equipment sounds the best, but the audio device alone (sans mic) was $1200.

These days, I use the pencil mic with a Scarlett device. It sounds good enough for my recording needs (I post-process everything regardless). It is out of camera, and pencil mics (or shotgun) are what pros use in camera studios.

If you don't mind having a big mic on camera, the Fifine is a lot of bang for the buck. If you are a brand person, go for the Shure.

A headset is great for minimizing sound when talking with others (say for a podcast interview), but I have yet to find one that is comfortable for using all day (I'm often teaching day-long courses).
I think of that as “British” style (as opposed to American). I think it’s more common here and I certainly prefer it
It's &mdash; in HTML or Markdown.

If you use eg. a Japanese IME, you can also get it by typing a normal hyphen and selecting the em dash from the picker.
Robin Hood is a thief and an anarchist. Why do we care about the story? It’s not what he stole, it’s who he stole from and why.
Claimed, yeah, anesthetist in SW US in small small town. (Wouldn't shock me to hear they're exaggerating btw, my experience is people are puerile, and it's absolutely possible they're telling tall tales to brag while I don't have a job)
No, but he also ended up on Fireship, and he also shared his company has done 160K+ in sales in the past 4 weeks.
I love Debian, but this is a genuine deal that many people don't know about. It also compounds if you're on Ubuntu as sometimes Canonical adds their own patches too. If you're just using Debian as a base OS to serve your own software, it doesn't matter as much but still does somewhat. It's not unusual for Debian-specific patches to be applied by the package maintainers in order to fix build errors, mismatched dependencies, etc. Most of the time those patches are harmless, but sometimes they are not. There have been security vulnerabilities for example that only existed in the Debian-based package of software. No distro is perfect and I don't intend this as a criticism of Debian (as they have legitimate reasons for doing what they do), and no distro (not even Arch) ships everything without any patches, but in my years of experience I've bumped my head on this in Debian several times.
That is such a huge question! I feel like the answers are many and varied.

For one obvious one, US health codes are much stricter, and your average Vietnamese food cart or street vendor would probably be flat-out illegal anywhere in the US, because they probably don't have the equipment to handle safe food holding temperatures. Not to say that the vendors aren't skilled and capable of serving safe food; just that the US health codes don't take that as a given and require you to prove it. It's why the hot dog stand is about the only iconic American food stall these days. Consider also the fairly prolific business of selling home-cooked food on Facebook Marketplace. Totally illegal, but it fills an underserved niche.

A second factor might be the cost of doing business. Ingredients are much more expensive, and so is labor, and that makes cheap food harder to produce cost effectively. The labor is probably the most expensive part of any prepared meal in the US, so you see "fast food" shift towards ultra processed foods that are quick to produce and serve.

Likewise, US real estate is just less conducive to this behavior. In cities, sure, you might see foot traffic that can support a food stall or small restaurant. But even a small location in a busy city area can be very expensive to rent, and the US has less by way of semi-permanent market areas that vendors can leverage to have easy access to customers. There's a Thai Buddhist temple in Dallas that runs a weekend market with food vendors after their Sunday services, and it's always busy. There's almost certainly demand, but reasonable locations are hard to come by.

Lastly, I just want to point out that fresh does not necessarily mean healthy! Consider salt, for example. If your freshly cooked dish is over seasoned, then you might not be getting something as healthy as you wanted, even though you might recognize all the ingredients and their sources. Be careful to avoid biases in labeling certain foods healthy and some foods not based on perception and not actual contents.
yes this is what I was referring to. I think it's time we become open to this reality to improve healthcare for everybody.
Modified starch seems like a prime candidate for an ultra-processed ingredient. I don't know which one is used in baked beans, but there's a whole list of enzymes, acids and alkalis used: https://en.wikipedia.org/wiki/Modified_starch

I didn't realize we could buy 89% peanut butter in Europe. At my nearest supermarket in Copenhagen I have the choice of 99.5% (Machandel), 99.6% (Urtekram) or 99.3% (Salling). The other 11% of yours is probably palm oil, sugar and salt, so less questionable than the modified starch but it's still additives to increase shelf life and make the boring, natural peanut more appealing.
The government could definitely compel Google to give a list of users a malicious Signal update
"We make our data available here."

Thank you very much! The whole repo is about 500 MiB and has data beyond the Amazon analysis.
Not that I am qualified beyond the reviews I found, but I picked up a Shure 58 for $100. Supposedly used by many musicians and can be dropped/abused without issue.
Der8auer on Youtube is the most likely candidate to figure it out if he so choses.
The interconnect resistance does matter as resistance is a function of cross-sectional area. It's related to the physical size of the conductor. Lower resistance conductors can be physically smaller while carrying the same amount of current.

But the real trick is if you can increase your switching speed, you lose less energy in the transistor. All the time in between 0 and 1, the transistor is burning energy as heat rather than conducting current. Lower R in your interconnect means your RC time constant goes down and your switching speed goes up. Your transistor spends less time in the linear region and wastes less energy.

But yes, these are pretty small effects on the whole. That's really just where the industry is at: incremental improvements until the Next Big Thing comes along.

Additional nit: up to 50% of the energy put into gate capacitance could be recovered. It's not necessary to waste 100%, it's just dramatically cheaper and easier. Honestly I doubt there's any practical benefit as the chip would become quite a lot larger.
That’s interesting to note. I have usually taken the time to properly use en-dashes when it seems appropriate because I frequently deal with strings that represent academic years. At least where I live, these span two calendar years. I have noticed that a lot of college websites tend to use the en-dash properly (e.g. on their academic calendar webpages).
I’ve noticed this, too. ChatGPT especially overuses them relative to other models. It’s an easy tell-sign that something is probably LLM-written.
There are: https://transformer-circuits.pub/2025/attribution-graphs/bio...
Lighting makes a HUGE difference. Just get an Elgato Key Light Air from Amazon, set it to ~5700K and full brightness and watch the magic happen. It takes a while to get used to having a lightbulb in your face but it's so worth it.

That, and the new Macbook Pro's portrait mode feature on the webcam. It's good enough that most people won't want to bother with setting up a DSLR
There is an old joke -- "they call it corruption in asian countries, they call it lobbying in western countries"

Similarly here, they call it banned books in middle eastern countries, they call it anti-semitism in western countries.

These studies like to discuss banned books in middle eastern countries because it helps people here feel good about deporting people for writing op-ed articles: https://www.pbs.org/newshour/politics/tufts-student-from-tur...

they can create the image of our civilized world here in the west as compared to the "unfree" world in the middle east
Secret Service, Navy Tested Anti-Drone Tech Causing False Collision Alarms
Most editors should auto changes a double dash into em dash. I thing Google Docs does for example.
On-site interviews are pretty clearly the antidote to this, but that costs money this quarter. In contrast, the cost of hiring a total fraud cannot be pinpointed to any one metric or line item.
Sure, but how would they go about capturing that money?
Huh, you're right, I would expect `exit 1` in the terminal to abort the rest of the pipeline.

By the way, in your example: `--expect SUCCESS` is the default behavior of with-exec, so you can simplify your pipeline to:

container | from alpine | with-exec /bin/false | publish ...

Thank you! Would you be willing to open an issue on our github repo? If not I will take care of it.
I remember a male and female specialist, whatever their discipline, holding a media scrum a decade ago.

They pleaded for people to understand that men and women are physically different, including the brain, its neurological structure, and that this was in modern medicine being overlooked for political reasons.

One of the results was that many clinical trials and studies were populated by males only. The theory being that they are less risk adverse, and as "there is no difference", then who cares?

Well these two cared, and said that it was hurting medical outcomes for women.

I wonder, if this AI issue is a result of this. Fewer examples of female bodies and brains, fewer studies and trials, means less data to match on...

https://news.harvard.edu/gazette/story/2007/07/sex-differenc...
This was discussed on an Ars Technica article [flagged] HN post yesterday

https://news.ycombinator.com/item?id=43484093
Personally, I would avoid it if possible. Even if they are of the same model, small discrepancies may cause their +12V to be slightly different. At the very least, will cause very non-uniform load distribution.

Luckily, seems the OP only needs one. The current light only uses 36W @ 12V, even if they make the new light 10x more powerful, a single 400W PSU should do the job nicely.
How do you guys go about doing sheet metal design? It looks pretty clean
As are super pedantic humans.
Chainforge