skysight-inc/HackerNews huggingface dataset:
Exciting to see these numbers.

Anthropic if you’re listening - how about a breakdown by number & taxonomy of tools being made available to Claude? Or number of tool invocations in a given session?

That’ll show how much use it’s getting via agentic systems vs. as a chatbot. By proxy it should show how quickly agentic use is growing.
Guidance on Authoring Lexicons in ATProto
One word: Bazzite.
There is lots of value to be added in wrapping those tools. I am very well aware of what these things are. LLMs are not a fire-and-forget weapon, even though so many of you business types really really really want it to be. I mean jesus you sound almost as delusional as my bosses.
Kinda undermines the arguments about fentanyl from Canada (as if those were believable to begin with).
Agreed. Hope they change the name ASAP. I saw it and the first thing I thought was, I'd never trust a company that decided that was a good name.

Names, like products, are supposed to be easy to use. If your first thought is "wait how the heck do you pronounce that?" and then "why do they hate vowels so much?" you're already lost. Like, if I want to get to their site I'm going to have to guess how to type it into Google...? Signly? Sngly? Sgnli? Sgnly? Sngli? Can you even tell which one is right?
it doesn't help their argument to start off with "this is a falacy"
Perhaps attitudes to this new phenomenon are correlated with propensity to skepticism in general.

I will cite myself as Exhibit A. I am the sort of person who takes almost nothing at face value. To me, physiotherapy, and oenology, and musicology, and bed marketing, and mineral-water benefits, and very many other such things, are all obviously pseudoscience, worthy of no more attention than horoscopes. If I saw a ghost I would assume it was a hallucination caused by something I ate.

So it seems like no coincidence that I reflexively ignore the AI babble at the top of search results. After all, an LLM is a language-rehashing machine which (as we all know by now) does not understand facts. That's terribly relevant.

I remember reading, a couple of years back, about some Very Serious Person (i.e. a credible voice, I believe some kind of scientist) who, after a three-hour conversation with ChatGPT, had become convinced that the thing was conscious. Rarely have I rolled my eyes so hard. It occurred to me then that skepticism must be (even) less common a mindset than I assumed.
You can get a decent 2-in 2-out audio interface for 100€ or less. I can recommend Behringer's UMC series: https://www.thomann.de/at/behringer_u_phoria_umc204hd.htm
Were you paid? I hope yes
I agree that Australia could improve a lot but hotels will take a credit card scan at every country I've been to. In many other countries they also take your passport away and you wait a while to get it back.
I don't have a lot to say, but I don't think that studying CS is the worst to find a job. My advice? Stay interested, learn about stuff. You'll end up somewhere.
Executive order on Smithsonian targets funding programs with 'improper ideology'
True, but these things happen very very rarely. Also:
1. Is there anything you can do about it?
No? Remove the alert, replace with a "we are down sorry" message.
Yes? Then automate that thing.

Rinse and repeat after every incident and you will eventually get paged rarely.
But it doesn't in practice.

I develop and distribute few free apps for macOS, and building / notarising is never a problem.
Avoid manual sharding in vector db or any db
It is literally insane that when I search for Photos on iOS I can't zoom in to make the thumbnails bigger. As an approaching mid-40s person this is untenable, even worse that it DOES let you zoom in prior to search.
here is an example install, this is not a render (the window is real but the skylight is not)
https://www.innerscene.com/gallery/residential-virtual-sun

Here is a video showing the units suspended in the air
https://www.dropbox.com/scl/fi/e0p4rsx31cqag42cklc61/A7_free...
In general, most responsibly reported CVE allow several weeks for the patch fixes to propagate into the ecosystems before public disclosure.

Once an OS is no longer actively supported, it will begin to accumulate known problems if the attack surface is large.

Thus, a legacy complex-monolith or Desktop host often rots quicker than a bag of avocados. =3
I see your take, but I disagree.

DF is a blog and was conceived that way. HN is a discussion site. The two forms (blogging and internet discussions) are different. They serve different purposes and require different management styles.

The discussions here do seem to be tamped down in some ways, and as a user, that takes something away from the experience.

Relatedly: in general, I think "hypocritical" is not a big gotcha that ends discussions. Different things serve different purposes.
> Did you look up her platform at all? Or do you insist this because it wasn't spoon fed to you?

I know her actual platform was more detailed than that, but it doesn't matter what I know. The point is it was not communicated effectively. Go out on the streets and ask the common folk what her platform was. Aside from "I don't know", the answers you'll get will be all over the place - mostly just generic DNC talking points. The average liberal/moderate/independent voter was not excited about Harris.

Do you honestly think most voters are researching candidates? Honestly? Of course they aren't. They expect it to be spoon fed to them.

> There was a platform document pretty early on in her campaign.

Good luck insisting voters should RTFM. Professionals don't even RTFM most of the time.

> Meanwhile Trump in 2020 did not have a platform at all and yet the voters didn't give a shit.

Trump lost in 2020, so I'm not sure why this is relevant. But regardless his platform was the same as it was in 2016 and 2024 - "Make America great again," "drain the swamp," these are household phrases. And just as Trump's platform resonated better with voters in 2016 and 2024, Biden's "return to normalcy" platform resonated in 2020 amidst the pandemic. There's more to these platforms than a catchy slogan, but that's the part people remember. It's effective marketing.

Look man, I want the Democrats to put forth a strong candidate and an effective campaign but this whole "blaming the voter" thing is not going to get them there. It's just going to continue alienating the people they need most.
I don’t think manufacturers will make LEDs with strong deep-red emission. If they made LEDs that emitted lots of red light, they probably would have a peak in the red end of the spectrum. But since they’re not monochromatic single-wavelength sources like lasers, there would be a spread of wavelengths around that red peak, including substantial infrared emission. And that IR emission makes heat, and now you’ve created an inefficient lamp, similar to the old incandescent filament lamps.
"we're going to run gov't like a business"

(and exploit the shit out of you until the gov't stops us)
Why dedup? Old forgotten things are as good as new :)
Every time you cat a BSV file, your terminal beeps like it's throwing a tantrum. A record separator (RS) based file would be missing this feature! In other words, my previous comment was just a joke! :)

By the way, RS is decimal 30 (not octal '\030'). In octal, RS is '\036'. For example:

$ printf '\036' | xxd -p
1e
$ printf '\x1e' | xxd -p
1e

See also https://en.cppreference.com/w/cpp/language/ascii for confirmation.
Isn't this intentional? How would deduping work?
Not OP but have the same Mac. Every key is shiny. Doesn't really bother me though because I touch type. Also clearly I favor hitting space with my right hand because only the right side is shiny.
The 'postulating' a bunch of axioms is how Math is taught.. Eventually you go on to prove those axioms in higher math. Whether there are more fundamental axioms is always a bit of a question.
Kiwi bank is the most likely IMO. Almost 4 star and the kind of think GPT would do is leave in the Kiwi part.
> That's not telling you what you think it is. A lot of those deaths are that person in a car on their own. [...]

Sure - going off of NHTSA figures it looks around 35%. There's also a lot of car passenger deaths (~15%), pedestrian deaths (~20%), and deaths of car drivers with passengers (~15%).

Not entirely sure the point of breaking it out like this, though. These are all still deaths that self-driving cars could in theory prevent, and so all seem appropriate to consider and base policy on.

> Chances are that person is going to kill themselves in a vehicle again later [...]

Unsafe drivers (under the influence, distracted, etc.) are disproportionately represented in fatalities, but that neither means most road accident fatalities are unsafe drivers nor that most unsafe drivers will have a fatal car crash. As far as I can tell, even a driver using amphetamines (increasing risk of a fatal crash 5X) still isn't more likely than not to die in a car crash (a very high bar).

Further, if the way the initial fatal crash was prevented was by prevalence of safe autonomous vehicles, the future crashes would also be similarly mitigated.
I clicked this because I was confused why someone felt so strongly about Apple needing a winterized SUV.
"Immutable" distros? We used to live-boot those from optical media back in the day. Fedora is quite late to the game.
Canada (in my case, specifically UBC) has piss low grad student stipends, even relative to local CoL. I was making full time minimum wage as an undergrad researcher, and my PI told me that he was still paying me more than his PhD students (2500/mo for me vs. 2000/mo). I dunno how someone could live in Vancouver on that salary without savings or additional scholarships
Looks cool, what sources of data are you guys using to derive this insight?
Apple needs to restore primacy to the UI. MacOS and iOS used to feel non-blocking with a UI that would always respond regardless of how long a remote or long-running background task required.

Now iOS and MacOS feel sluggish and slothlike, waiting on IO, typically from a remote call. The webdevs have taken over.

Yes they need to remove cruft, and also re-hire the ruthless UI Nazis who would enforce 120hz responsiveness at all cost.
It was never believable.
These changes I’m describing occurred after 2017, likely at least in part due to this vulnerability.
If only there was a good Linux version of Alfred.
How does this compare to recently discussed Landrun?

https://news.ycombinator.com/item?id=43445662
That’s not a word
Thanks for the '⇧⌥<dash>' tip— from 2022–2025, I have been using macOS en's thinking they were em's.

(Side note: GTP says apostrophes should be used for pluralizing only for single letters to avoid confusion, but this seems more readable than "ens and ems" IMO.)
I don't think it's just an Apple thing. I think it's just a big company thing. For example, the YouTube app has so many errors in the very common path, such as opening comments on channels and so on. I think after a while big companies simply become hollow from the inside and self-combust. Just like large animals have a cancer protection gene, I think there is a max size companies can get before they sell combust and they do not have a cancer preventing gene.
If you have AppleCare they will basically rebuild your MacBook for ~$200. I got MBP M1 Max usb ports and top case replaced and a bunch of other stuff I didn’t even ask for but they replaced with new stuff. Felt like a new machine when I got it back.
> Trump administration announced abrupt cancellation and revocation of roughly $11.4 billion in COVID-era funding for grants linked to addiction, mental health and other programs.

The federal budget jumped from $4.4 trillion in 2019 to $6.7 trillion in 2022. These were emergency programs passed when economies were shut down, threatening state governments. We can’t treat these emergency measures as permanent.
Is this Elon’s “Giga” Cloud?
I am all for efficiency and questioning what and how things are done. But this is just too heavy handed. I think DOGE is really not about efficiency but about reduction at any cost.
yup, I dropped Docusign when this landed.
It's quite easy, actually. We did this at work, recently.

Bun is two things. Most commonly, it's known for its Node-competitor runtime, which is of course a very invasive change. But it can also be used purely as a package manager, with Node as your runtime: https://bun.sh/docs/cli/install

As a package manager, it's much more efficient, and I would recommend switching over. Haven't used pnpm, though--we came from yarn (v2, and I've used v1 in past).

We still use Node for our runtime, but package install time has dropped significantly.

This is especially felt when switching branches on dev machines where one package in the workspace has changed, causing yarn to retry all packages (even though yarn.lock exists), where bun only downloads the new package.
I mean this is what I do too, while doing daily groceries. I think the fridges are much larger in the US, amd the prevalence of the car culture, you guys ended up having bigger but far away super markets.

We also have those in Europa but I really hate driving to do groceries. It's just so inconvenient and too much hassle. I rather walk to the small shop daily than driving to the bigger one, which is maybe 3 km away.
I can see it making sense. An entire class of people are now afraid and feel targeted because they happen to own a particular brand of car. Random attacks aren't hate crimes, but attacks targeting a protected class are. DC apparently now defines "own a Tesla" as a protected class.

As a Tesla owner, I welcome and support this. I'm more likely to be victimized by vandalism because someone hates my car for political reasons. Doesn't seem fair. Society has decided that victimizing people for characteristics (hate) is worse than randomly victimizing people because "Hate crime victims include not only the crime’s immediate target but also others like them" (https://www.justice.gov/hatecrimes/learn-about-hate-crimes). So I'm glad to see it applied in this case.
What groups have the financial means to get chest x-rays, and what groups do not? What historical events could create the circumstances where different groups have different health outcomes?
I think some people would be surprised how effective reaching out to apple is for squashing bugs. Three times now I've been assigned an engineer to pin point the bug I was experiencing, after which it was fixed in the next dot release.

By all means people should complain on forums (why not?), but a forum post complaining about some years-old bug isn't going to be anywhere near as effective as contacting apple's support or filing a bug report.

I'm not a developer, I'm just a regular user - so if I can get all this special treatment, so can you.
I just wanted to say that I've been a keen reader of your blog for ... I guess, decades. I appreciate your work. Thank you.
The principle is what matters. The amount is not the issue. The issue is that there is a cost at all. "It's so cheap" is never an excuse for charging for something that should be free. In this case, running software you have no intent to charge for, on your computer. It's as if someone started charging $0.01/month for breathable air. "But $0.01 is trivial," would not excuse it.
It must be that ideas are powerful, maybe the most powerful things. Ideas can move nations, start wars, create revolutions. They can create widespread hate and widespread compassion.

It's as if we, the public, aren't as helpless as we thought, but that mass manipulation via social media - manipulation of ideas - could be exceptionally powerful.
I think the question is: by what mechanism does it adjust up the probability of the token "an"? Of course, the reason it has learned to do this is that it saw this in training data. But it needs to learn circuits which actually perform that adjustment.

In principle, you could imagine trying to memorize a massive number of cases. But that becomes very hard! (And it makes predictions, for example, would it fail to predict "an" if I asked about astronomer in a more indirect way?)

But the good news is we no longer need to speculate about things like this. We can just look at the mechanisms! We didn't publish an attribution graph for this astronomer example, but I've looked at it, and there is an astronomer feature that drives "an".

We did publish a more sophisticated "poetry planning" example in our paper, along with pretty rigorous intervention experiments validating it. The poetry planning is actually much more impressive planning than this! I'd encourage you to read the example (and even interact with the graphs to verify what we say!). https://transformer-circuits.pub/2025/attribution-graphs/bio...

One question you might ask is why does the model learn this "planning" strategy, rather than just trying to memorize lots of cases? I think the answer is that, at some point, a circuit anticipating the next word, or the word at the end of the next line, actually becomes simpler and easier to learn than memorizing tens of thousands of disparate cases.
Funny that you mention it because in JavaScript there already is a library for this:

https://github.com/auchenberg/volkswagen
i doubt real tech has touched this space, but please fix superior court efiling.
Yes, I saw those spectra. No, I don’t see very much energy emitted for wavelengths >700 nm.

If you look at spectra for stereotypical crappy white LEDs, they’re really no different. Everyone uses the same light emitting compounds, it seems to me.
Doesn’t the show My 600 lb Life show many serious food addictions being broken by expert medical care, which is not free?
So you're saying that when you see an Em dash in someone's prose, it's a big minus?
> but about reduction at any cost.

Destruction at any cost
And the fentanyl "from Canada" story is because there was a seizure up north in the US and was attributed to come from Canada (but may as well be going the other way) and amount was like 0.1% of total apprehensions. Most of the illegal guns in Canada come from the US though.
Copenhagen Survey on Black Holes and Fundamental Physics
Yeah.. It's just not something that really excites me as a computer geek of 40+ years who started in the 80s with a 300 baud modem. Still working as a coder in my 50s, and while I'm solving interesting problems, etc.. almost every technology these days seems to be focused on advertising, scraping / stealing other's data and repackaging it, etc. And I am using AI coding assistants, because, well, I have to to stay competitive.

And these technologies come with a side helping of a large chance to REALLY mess up someone's life - who is going to argue with the database and WIN if it says you don't exist in this day and age? And that database is (databases are) currently under the control of incredibly petty sociopaths..
> For some problems it's just very hard to express them in a googleable form

I had an issue where my Mac would report that my tethered iPhone's batteries were running low when the battery was in fact fine. I had tried googling an answer, and found many similar-but-not-quite-the-same questions and answers. None of the suggestions fixed the issue.

I then asked the 'MacOS Guru' model for chatGPT my question, and one of the suggestions worked. I feel like I learned something about chatGPT vs Google from this - the ability of an LLM to match my 'plain English question without a precise match for the technical terms' is obviously superior to a search engine. I think google etc try synonyms for words in the query, but to me it's clear this isn't enough.
Really sucks to be them. Try hard and compromise on pay.

I also remember seeing some study that says that 2008 grads' pay never caught up, and that e.g. 2010 grads' pay is higher despite their having less experience. Sucks, but you play the cards you're dealt.
Features correspond to vectors in activation space. So you can just do vector arithmetic!

If you aren't familiar with thinking about features, you might find it helpful to look at our previous work on features in superposition:

- https://transformer-circuits.pub/2022/toy_model/index.html

- https://transformer-circuits.pub/2023/monosemantic-features/...

- https://transformer-circuits.pub/2024/scaling-monosemanticit...
i've been using "AI/ML" to stem songs for something like 7 years, i was wondering if the state of the art allowed streaming stems yet or not.

"next big thing" heh
> We all know that this technology isn't magic.

I didn't say it's magic. I said what it is advertised as.

> The reminder does nothing. The contextual advice on how to tackle those issues does.

No, the contextual advice doesn't help because it doesn't tackle the issue because the issue is "It doesn't work as advertised". We are in a thread of an article whose main thesis is "We’re still far away from AI writing code autonomously for non-trivial tasks." Giving advice that doesn't achieve autonomous writing code for non-trivial tasks doesn't help achieve that goal.

And if you want to talk about replies that do nothing. Calling the guy a Luddite for saying that the tip doesn't help him use the agent as an autonomous coder, is a huge nothing.

> since you've already made up your mind about the limit you or others should be willing to go.

Please read the article and understand what the conversation is about. We are talking about the limits that the article outlined, and the poster is saying how he also hit those limits.

> If it doesn't meet the standard of what you believe is advertised than say that.

The article says this. The commenter must have assumed people here read the articles.

> why invalidate the person providing the context into how to utilize those tools in their current state better?

Because that context is a deflection from the main point of the comment and conversation. It's like in a thread of mechanics talking about how an automatic tire balancer doesn't work well, and someone comes in saying "Well you could balance the tires manually!" How helpful is that?
Great post.

BTW, there is an (earlier) example of Snow Leopard in the Microsoft ecosystem -- that would be Windows XP, which similarly avoided major new subsystems and new applications built-into-the-OS, but was remarkably fast and stable for its time.
Was the skylight in the season 25 episode of Grand Designs [1] made by your company?

[1] https://www.dailymotion.com/video/x97hx8g (from 39 mins in)
That statement makes no sense, as the new products are worse than the old ones
As I said in another comment, it depends highly on the context and previous / alternative knowledge of the source.
I have been saying this about llms for a while - if you know what you want, how to ask for it, and what the correct output will look like, LLMs are fantastic (at least Claude Sonnet is). And I mean that seriously, they are a highly effective tool for productive development for senior developers.

I use it to produce whole classes, large sql queries, terraform scripts, etc etc. I then look over that output, iterate on it, adjust it to my needs. It's never exactly right at first, but that's fine - neither is code I write from scratch. It's still a massive time saver.
I think too many people equate spending money to doing good, and everything is measured against today's prior projected spending levels. To put this in context:

FY 2012: The SAMHSA budget authority was $3,386,903,000

FY 2024: The President's Budget Request was $10.8 billion, an increase of $3.3 billion from the 2023 Enacted level.

That's about 9% increase every year. These programs didn't always exist and they have grown considerably over time while addiction and mental health have both gotten considerably worse during that period. I think it's worth re-evaluating to see if these programs are doing anything.
I don't get what the AI agent is for - the way I know of DocuSign is to use it to legally effectively sign documents such as contracts. Those would typically be prepared by (human) legal experts. I'm wondering what niche has documents that are critical enough that they need legally effective signing but uncritical enough that you can trust an unaccountable AI agent with drafting them?