skysight-inc/HackerNews huggingface dataset:
> One, your projects are small enough that you can reasonably provide enough context for the language model to be useful. Two, you’re using the most common languages in the training data. Three, because of those factors, you’re willing to put much more work into learning how to use it effectively, since it can actually produce useful content for you.

Take a look at the 2024 StackOverflow survey.

70% of professional developer respondents had only done extensive work over the last year in one of:

JS
64.6%
SQL
54.1%
JTML/CSS
52.9%
PY
46.9%
TS
43.4%
Bash/Shell
34.2%
Java
30%

LLMs are of course very strong in all of these. 70% of developers only code in languages LLMs are very strong at.

If anything, for the developer population at large, this number is even higher than 70%. The survey respondents are overwhelmingly American (where the dev landscape is more diverse), and self-select to those who use niche stuff and want to let the world know.

Similar argument can be made for median codebase size, in terms of LOC written every year. A few days ago he also gave Gemini Pro 2.5 a whole codebase (at ~300k tokens) and it performed well. Even in huge codebases, if any kind of separation of concerns is involved, that's enough to give all context relevant to the part of the code you're working on. [1]

[1] https://simonwillison.net/2025/Mar/25/gemini/
They are news sites, not political sites. Maybe some people do not want them in their news searches because they consider them low quality, or for some other reason I guess?

I would def not consider sites like dailymail.co.uk a good source of information.
The perpetrators know full well that most Tesla owners are Democrats.

They are using violence to try and hurt Tesla's business and make people afraid to buy their cars.
I don't know.. I've maintained skepticism, but recently AI has enabled solutions for client problems that would have been intractable with conventional coding.
A team was migrating a years old excel based workflow where no less than 3 spreadsheets contained thousands of call notes, often with multiple notes stuffed into the same column separated inconstantly by a shorthand date and initials of who was in the call. Sometimes with text arrows or other meta descriptions like (all calls after 3/5 were handled by Tim). They want to move all of this into structured jira tickets and child tickets.

Joining the mess of freeform, redundant, and sometimes self contradicting data into JSON lines, and feeding it into AI with a big explicit prompt containing example conversions and corrections for possible pitfalls has resulted in almost magically good output. I added a 'notes' field to the output and instructed the model to call out anything unusual and it caught lots of date typos by context, ambiguously attributed notes, and more.

It would have been a man month or so of soul drowningly tedious and error prone intern level work, but now it was 40 minutes and $15 of Gemini usage.

So, even if it's not a galaxy brained super intelligence yet, it is a massive change to be able to automate what was once exclusively 'people' work.
That definitely makes a lot of sense. I think if you are coding in a flow state on something, and LLMs interrupt that, then you should avoid them for those cases.

The areas that I've found LLMs work well for are usually small simple tasks I have to do where I would end up Googling something or looking at docs anyway. LLMs have just replaced many of these types of tasks for me. But I continue to learn new areas where they work well, or exceptions where they fail. And new models make it a moving target too.

Good luck with it!
Couldn’t agree more!

When I saw GPT-3 in action in 2023, I couldn’t believe my eyes. I thought I was being tricked somehow. I’d seen ads for “AI-powered” services and it was always the same unimpressive stuff. Then I saw GPT-3 and within minutes I knew it was completely different. It was the first thing I’d ever seen that felt like AI.

That was only a few years ago. Now I can run something on my 8GB MacBook Air that blows GPT-3 out of the water. It’s just baffling to me when people say LLM’s are useless or unimpressive. I use them constantly and I can still hardly believe they exist!!
> Do we blame the CO2 emissions of SpaceX on Elon Musk

Of course. 100%. He started it, he could stop it. It’s not even a question. No one was asking for starlink. Humanity could have continued just fine without wireless internet in the middle of nowhere.
The US program `Finding Your Roots' regularly features 2 celebrities and often they are surprised to find (by D.N.A) who their distant cousins are.
I confess that I've been using a pirated version of office for years and years. When I can no longer use that then I will upgrade to libre office.
I'm curious about the onset. Every person I know who has it can specifically relate it to one of their parents.
You’re not making the argument you think you’re making when you ask “Where was the [I]ntwenet 2 years into it?”

You may be intending to refer to 1971 (about two years after the creation of ARPANet) but really the more accurate comparison would be to 1995 (about two years since ISPs started offering SLIP/PPP dialup to the general public for $50/month or less).

And I think the comparison to 1995, the year of the Netscape IPO and URLs starting to appear in commercials and on packaging for consumer products, is apt: LLMs have been a research technology for a while, it’s their availability to the general public that’s new in the last couple of years. Yet while the scale of hype is comparable, the products aren’t: LLMs still don’t anything remotely like what their boosters claim, and have done nothing to justify the insane amounts of money being poured into them. With the Internet, however, there were already plenty of retailers starting to make real money doing electronic commerce by 1995, not just by providing infrastructure and related services.

It’s worth really paying attention to Ed Zitron’s arguments here: The numbers in the real world just don’t support the continued amount of investment in LLMs. They’re a perfectly fine area of advanced research but they’re not a product, much less a world-changing one, and they won’t be any time soon due to their inherent limitations.
> Is an asylum seeker really legal

Yes. You answered your own question. A person who is her legally is here legally. If their claim is denied (and I'd argue in many cases the bias would be towards denying valid claims then the other way around) and they refused to leave then they'd be an unathorized immigrant without legal right to stay in the country. But before then they are explicitly there legally.
This will be controversial, but w3schools isn't bad for the niche it targets today.

It, however, has a long, well-earned reputation from being likely the worst site on the net for a decade, back in the early days. Even if I have a question that I think it would answer well, I still recoil at the thought of clicking a link to it.
-5°C to -2°C

post-war - pre-digital era (not a sentence any sane person would use anyway).

See sections 10-O - 15-Q

Try our New York-London flight connection! (no kind of dash clears this one up without fixing capitalisation).
The problem is that a lot of established words have a meaning different from the mere sum of their parts.

For example, “homophobia” literally means “same-fear” - are homophobes afraid of sameness? Do they have an unusual need for variety and novelty?
Here you have a GC engine that is completely pauseless: https://github.com/pebal/sgcl

It is available as a C++ library, so you can easily compare its performance to the reference counting.
The problem here is that the same can be said to spending trillions of dollars _after_ COVID was gone.

It's quite common for goverments that cut spending aggressively getting hated (I have seen in other country where I was born and raised), but that's the only way to do it.

Politicians know that they usually don't get reelected after cutting spending, that's why they usually put in a temporary prime minister for that job.
Unless it works. If it works Self driving cars will save thousands of lives. Camera only self driving is 1/10th the cost of Lidar based solutions.

If you ban it you are literally killing and maiming people.
One of my introductions to engineering was watching MacGyver as a kid.

Now watching it, knowing what I do, it's comical. But it had a big part in getting me interested and in the door.

It's the with any media or entertainment. You can't take kids to space, but you can make a book, movie or comic book where they can dream about doing it when they grow up.

Put another way, it's better that kids read this comic book and not one that does nothing to develop their futures, right?
Google docs doesn’t work?
> Typically Americans have a very naive understanding of how the world works because American imperialism made it easy for them.

Do you have specifics on how Americans adults could be naive on the world?
How is this different from pg fans? Are pg’s posts flagged?
How did we get JWST up there? A rocket perhaps?
You wrote so much while failing to read so little:

> in most cases

What do you think will happen if we will start comparing the lengths of the list ["hot dog", ...] and the list ["blue bird", "aeroplane", "sunny March day", ...]?
Apparently Pinterest has half a billion users[1], presumably significant number of those appreciate those search results. I am also going to guess that there is little overlap between those 500M users with HN's 5M users[2] or Kagi's 43K users[3].

So while those results-gated-behind-logins might seem annoying to us, we are in the minority.

[1] https://www.statista.com/statistics/463353/pinterest-global-...

[2] https://news.ycombinator.com/item?id=33454140

[3] https://kagi.com/stats
SPL: The Professional Choice for Processing Multi-Layered JSON Data
Well, Bill Bryson wrote about it in his book down under. Also, when I was in Sydney last September, I asked the tour guide about it, and she confirmed that it was true. He never got to see his creation because he was turned away at the border.
Vote on what policy? What vote do you think could have made a difference?
> Nuclear, for example, is the only baseload tech we currently have at scale that doesn't burn carbon.

Renewables + storage is also, when combined, a baseload tech.

If you are implying nuclear fills a niche on the grid that cannot be filled by renewables + storage, you're mistaken.
I’ve always just done

alias hst=“history | fzf”

Not nearly as feature full but the simplicity of it makes me happy :)
The Hypergame Paradox
The various dashes are not "basic grammar" they are for pedants to argue amongst one another while the rest of the world just gets thing done.
I don't want orange man to deport ordinary Venezuelans to a left wing dictatorship. Or to
another country for having tattoos

https://www.msnbc.com/all-in/watch/-incredible-trump-admin-r...
https://www.theguardian.com/us-news/2025/mar/20/deported-bec...
"Where is the money really going?"

That's what DOGE should lay out in a clear manner. But they don't.
The hate is because Pinterest is shallow but shows when folk are searching for depth. The engine can't tell and these results are tricksy and false.
I have a bunch of friends who don't get along well with each other, but I tend to get along with all of them. I believe this is about focusing on the good in people, and being able to ignore the bad. I think it's the same with tools. To me AI is an out-of-this-world, OP tool. Is it perfect? No. But it's amazing! The good I get out of it far surpasses its mistakes. Almost like people. People "hallucinate" and say wrong things all the time. But that doesn't make them useless or bad. So, whoever is having issues with AIs is probably having an issue dealing with people as well :) Learn how to deal with people, and learn how to deal with AI -- the single biggest skill you'll need in 21st century.
Adam Savage Tests the Apple AirPods Pro Hearing Aid [video]
I am so confused too. I hold these beliefs at the same time, and I don't feel they don't contradict each other, but apparently for many people some of these do:

- LLMs are a miraculous technology that are capable of tasks far beyond what we believed would be achievable with AI/ML in the near future. Playing with them makes me constantly feel like "this is like sci-fi, this shouldn't be possible with 2025's technology".

- LLMs are fairly clueless for many tasks that are easy enough for humans, and they are nowhere near AGI. It's also unclear whether they scale up towards that goal. They are also worse programmers than people make them to be. (At least I'm not happy with their results.)

- Achieving AGI doesn't seem impossibly unlikely any more, and doing so is likely to be an existentially disastrous event for humanity, and the worst fodder of my nightmares. (Also in the sense of an existential doomsday scenario, but even just the tought of becoming... irrelevant is depressing.)

Having one of these beliefs makes me the "AI hyper" stereotype, another makes me the "AI naysayer" stereotype and yet another makes me the "AI doomer" stereotype. So I guess I'm all of those!
Also as a former Apple engineer....

I've explained in another thread how this kind of thing happens. It may be the same at other large companies.

Bugs come in (via Radar) and are routed to the team responsible. Ever since Jobs came back (and Apple became valuable again) it has also become very much top-down with the engineers, for better or worse, not calling the shots.

Just an obvious example — there are of course no engineers in the decision to make a "Snow Leopard" release or not. That is a "marketing" decision (well, probably Federighi). But further, even for an engineering team, they're probably not going to be able to make that decision even for their own component(s) either. Again, marketing.

So meetings are held and as it gets close to time to think about the NMOS (next major OS) the team is told what features they will implement. Do you think fix bugs is a feature? How about pay down technical debt? Nope, never.

Fixing bugs is just expected, like breathing I guess. And technical debt ... do what you can given your workload and deliverables. Trust me, many engineers (perhaps especially the older ones) want to both fix bugs and refactor code to get rid of technical debt. But there is simply not the cycles to do so.

And then what is even more insipid, the day the OS ships, every single bug in Radar still assigned to a team, still in Analyze, becomes a much much harder sell for the next OS. Because, you know, you already shipped with it ... must not be that bad.

I'd love to see a bug-fix-only Mac OS release. But I suspect that every time the possibility has come up, something like, I don't know, LLMs burst on the scene and there's a scramble.
Discussion (53 points, 9 hours ago, 36 comments) https://news.ycombinator.com/item?id=43495824
Whatever floats your boat ;)

I'm the creepy instructor who looks at his students rather than talking to you by looking down and to the right...

More seriously, I have dialed it in because I think it gives my clients a better final product. I also just want to have things work rather than spending an inordinate amount of time setting up equipment each time I need to record.
> What's worse, people are treating them as authoritative. … I've both seen online and heard people quote LLM output as if it were authoritative.

Thats not an LLM problem. But indeed quite bothersome. Dont tell me what Chatgpt told you. Tell me what you know. Maybe you got it from ChatGPT and verified it. Great. But my jaw kind of drops when people cite an LLM and just assume it’s correct.
No, I read that, and it's wrong. Can you point me to a single compound noun that works that way?

A bluebird is a specific species. A blue parrot is not a bluebird.

An aeroplane is a vehicle that flies through the air at high speeds, but if you broke it down into morphemes and tried to reason it out that way you could easily argue that a two-dimensional flat surface that extends infinitely in all directions and intersects the air should count.

Sunny March day isn't a compound noun, it's a noun phrase.

Can you point me to a single compound noun (that is, a two-or-more-part word that is widely used enough to earn a definition in a dictionary, like AGI) that can be subjected to the kind of breaking apart into morphemes that you're doing without yielding obviously nonsensical re-interpretations?
My ideal laptop would be the macbook trackpad, monitor and battery life stuck inside any thinkpad. Or just anything non MacOS, even Windows, in the macbook. I despise MacOS with every fiber of my being, but the hardware is damned good.
> I use them constantly and I can still hardly believe they exist!!

Exactly how I feel. I probably write 50 prompts/day, and a few times a week I still think, "I can't believe this is real tech."
Direct votes will vary from state to state. But as a recent example in CA voted against rent control... Guess who funded against that prop?

I was more talking indirect, but simply voting in whatever rep that sounded better without keeping the policies they focus on.
If my friend has a million times more knowledge than the average human being, then I'm willing to put up with a 30% error rate on references.

And I'm talking about references when doing deep academic research. Looking them up is absolutely a productive use of time -- I'm asking for the references so I can read them. I'm not asking for them for fun.

Remember, it's hundreds of times easier to verify information than it is to find it in the first place. That's the basic principle of what makes LLM's so incredibly valuable.
Beej's Guide to Network Programming [pdf]
- pdftotext from poppler-tools under Linux/BSD

Based on xpdf. Probably not 8-bit capable.

- pdftotext from poppler-tools under Linux/BSD

From OpenOffice. Probably not 8-bit capable.

Point to a PDF to something useful converter that runs in 64K bytes and can handle the 'PDF as a wrapper around some non-text image of the document' and we can talk. Seriously...I'd be fascinated.

- cp/m can read TXT files generated from gnuplot

Not sure how that helps. And can you port gnuplot to run in 8-bit/64k?

* a network attach on infra makes most modern OSes unusable, *

Ridiculous, unless your definition of 'usable' is 'unless I can get to TwitFaceTubeIn and watch cat videos ima gonna die!'. If civilization collapses and the network goes away tomorrow, my Debian 12, FreeBSD 14 and NetBSD 10 machines will work exactly as well as it does today until I can't power it and/or the hardware dies (sans email and web, of course). Yeah, the windows 10/11 things will bitch and moan constantly, and I assume MacOS too, but even with degraded functionality, it's far from 'unusable'. And I'll be able to load Linux or BSD on them so no worries.

they need to be constantly updated

No, they don't. Updates come in 2 broad categories: security fixes and feature release. Post-collapse and no network makes security much less urgent, and no new features is the new normal...get used to it. I have gear that runs HP/UX 10 (last support in 2003); still runs fine and delivering significant value.

And that ignores DOS, Win3, XP and such, which are still (disturbingly) common.

will work with really low bandwidth

You mean....with a network?
FYI there's no way to DM you on HN unless you leave some contact info on your profile, which may or may not be in the form of a puzzle.
> I use GPT, Grok, Gemini, Mistral etc every day

Maybe that's why?
There's extensive documentation. Examples:

https://developer.apple.com/documentation/security/code-sign...

https://developer.apple.com/documentation/security/notarizin...

There are dedicated sections of the developer web forums:

https://developer.apple.com/forums/topics/code-signing-topic

https://developer.apple.com/forums/topics/code-signing-topic...

...and there's an apple developer support person, Quinn, who appears to be heavily if not solely dedicated to helping developers do binary signing/notarization/stapling correctly.

They have written a slew of Tech Notes about signing and notarization. Main TN is at https://developer.apple.com/documentation/technotes/tn3125-i...

Quinn also has their email address in their sig so people can just reach out via email without even needing an Apple account, or if they prefer more confidentiality.

I mean, come on.
First rule of marking. Say your name, loud & proud! Bragging doesn't take care of itself. Gotta be like the Beastie Boys, say your name 3+ times in every song.
Once a group of words becomes a compound noun, you can’t necessarily look at the individual component words to derive the definition.

A paste made of a ground up tooth is clearly tooth paste because it is both a tooth and paste.
Spotlight was never useful, because of an absurd and glaring design defect: It doesn't show you WHERE it found stuff. There's no path shown with hits. Same blunder in Finder's search, and you can't even optionally add "path" as a column. WTF.

So... when the hits include six identically-named files, you can't eliminate ones that you know are wrong (on a backup volume or whatever). The level of stupidity here is just mind-boggling.
I didn't try toshy, I had a bad experience when I tried kinto.sh a couple of years back, and I had a pretty clear idea of how I could get what I wanted out of a fully featured keyboard remapping tool under Linux. I initially started with Kmonad, but once I found Kanata, and realized that it had a TCP interface for programmatically changing layers, I quickly switched.

I have a Kinesis 360 keyboard, and my config[0] probably won't work for other keyboards, but it can give you a starting point for your own config.

[0]: https://gitlab.com/spudlyo/dotfiles/-/blob/master/kanata/.co...
I don't understand the point of that share. There are likely thousands of implementations of selection sort on the internet and so being able to recreate one isn't impressive in the slightest.

And all the models are identical in not being able to discern what is real or something it just made up.
"Good questions" require understanding, a uniquely human concept as it exists strictly within the mind of a person.

"Great answers" can be identified as such by entities possessing understanding of the question posed. As defined above, this is a uniquely human concept.

Central to the above assertions are two words within the article's title; "good" and "great." These are valuations ascribed by a person, not an algorithm.
I'm generally in the "never trust the autorouter" camp (and by extension "never trust the bevy of AI tools entering the space"), but it's undeniable there are some big opportunities in the eCAD space to speed up some aspects of layout. I'm probably more likely to use co-creation tools, rather than full auto tools, simply because I rely heavily on iteration. Many times when starting a design my placements aren't set and that has a huge impact on routing. I didn't see on your page whether placement was part of your algorithm. I already rely on tools like push and shove and occasionally auto complete.

I'm always curious about people entering the space though. It is a small market, IMO. The tools are fractured, the existing players are lumbering behemoths, and the users are cranky zealots (you will have to pry KiCad out of my cold dead hands). I noted the step about the AR being written in JavaScript, which I have no real opinion on, but I'm curious about plans to plug into ecosystems (CAD vendors, OS tools) or try and draw people into another new ecosystem.