MurphyA/hacker-news huggingface dataset:
by gsf_emergency_6 | 2026-01-31 04:09:27+00:00
EdTech of both are not gov-orgs, only very gov-aligned :)

You'd like to understand the FOXES that are "Brahmin left" in these countries*. Obviously because foxes they are aware of their own interests

See figure 2.3 on page 92 of Piketty 2020

http://acdc2007.free.fr/piketty2020.pdf

On how this is relevant to the US context

*Exercise: should we include DoDEA in this taxonomy?
by defrost | 2026-01-31 04:09:28+00:00
> Guess what the stated jurisdictional limits are for CBP? 100 miles from any possible border

To quote a prominent US historian:

In a constitutional regime, such as ours, the law applies everywhere and at all times. In a republic, such as ours, it applies to everyone. For that logic of law to be undone, the aspiring tyrant looks for openings, for cracks to pry open.

One of these is the border. The country stops at the border. And so the law stops at the border. And so for the tyrant an obvious move is to extend the border so that is everywhere, to turn the whole country as a border area, where no rules apply.

Stalin did this with border zones and deportations in the 1930s that preceded the Great Terror. Hitler did it with immigration raids in 1938 that targeted undocumented Jews and forced them across the border.

* https://snyder.substack.com/p/lies-and-lawlessness
by kevin_thibedeau | 2026-01-31 04:09:35+00:00
2024 Democratic platform [1] word counts:

men: 4
woman/women: 86
gay: 3
transgender: 8

They slit their own throats by ignoring half of the voting population.

[1] https://democrats.org/wp-content/uploads/2024/08/FINAL-MASTE...
by t-3 | 2026-01-31 04:11:27+00:00
The "host" is the user in this case. Every user that watches the video, shares the video. Given that discovery doesn't appear to be a part of this platform, any links would undoubtedly be shared "peer-to-peer" as well, so if you aren't looking at illegal things and don't have friends sending you illegal things to watch, it's perfectly safe.
by overgard | 2026-01-31 04:11:35+00:00
I actually have used other LLMs to review the code, in the past (not today, but in the past). It's fine, but it doesn't tend to catch things like "this technically works but it's loading a footgun." For example, the redux test I was mentioning in my original post, the tests were reusing a single global store variable. It technically worked, the tests ran, and since these were the first tests I introduced in the code base there weren't any issues even though this made the tests non deterministic... but, it was a pattern that was easily going to break down the line.

To me, the solution isn't "more AI", it's "how do I use AI in a way that doesn't screw me over a few weeks/months down the line", and for me that's by making sure I understand the code it generated and trim out the things that are bad/excessive. If it's generating things I don't understand, then I need to understand them, because I have to debug it at some point.

Also, in this case it was just some unit tests, so who cares, but if this was a service that was publicly exposed on the web? I would definitely want to make sure I had a human in the loop for anything security related, and I would ABSOLUTELY want to make sure I understood it if it were handling user data.
by rablackburn | 2026-01-31 04:13:14+00:00
Excellent summary of the implications of LLM agents.

Personally I'd like it if we could all skip to the _end_ of Asimov's universe and bubble along together, but it seems like we're in for the whole ride these days.

> "It's just fancy autocomplete! You just set it up to look like a chat session and it's hallucinating a user to talk to"

> "Can we make the hallucination use excel?"

> "Yes, but --"

> "Then what's the difference between it and any of our other workers?"
by kittikitti | 2026-01-31 04:13:19+00:00
I find that the "ruliological approach" is very similar to feasible mathematics by Jiatu Li (https://eccc.weizmann.ac.il/report/2025/086/). In the last section before the Personal Notes, "In effect, we’re seeing that theoretical computer science can be done not only “purely theoretically”—say with methods from traditional mathematics—but also “empirically”, finding results and developing intuition by doing explicit computational experiments and enumerations." Where regular mathematics is "purely theoretical" and "empirically" is what Jiatu Li also describes in his paper sometimes referred to reverse mathematics like from Quanta magazine.

I appreciated the great explanation of space complexity and it eludicated why some scientific authors don't include it in their analysis of algorithms. However, Wolfram found that "by successively investigating both larger inputs and longer runtimes, one can develop reasonable confidence that—at least most of the time—one is correctly identifying both cases that lead to halting, and ones that do not." There are exceptions like Machine 600720 that have exceptionally long runtimes but I gain a much better understanding about an algorithm if I'm provided the space complexity. It's still an open question in pure theory but it could be understood from empirical results.
by ChristopherDrum | 2026-01-31 04:14:25+00:00
The HN community seemed to enjoy my previous post about Deluxe Paint. I cover all productivity software genres and hardware, which has kept me busy for a while. This week, I've circled back around to the Amiga, looking at Scala Multimedia MM300.

In addition to learning Scala, I discuss the IFF file format, a little about ARexx, do some genlocking, write a poem in tribute to a UI/UX stalwart workhorse, and give instructions on using a modern smartphone as a video source into WinUAE for Scala graphic composition that you can use in a Twitch/Discord livestream. Truly, a little something for everyone. I hope HN enjoys it!

https://stonetools.ghost.io/scala-amiga/
by pcchristie | 2026-01-31 04:14:52+00:00
Not directly related to the topic, I spose, but I have a Model 3, and absolutely love it, but the Smart Cruise Control/Driver Assist is, I hate to admit it, pretty annoying (I think it's gotten worse, too). It's incredibly "jumpy" and over-cautious. A car could pull out in your way 300m ahead of you, totally safely, and the car will shit itself and slam on the brakes to be over-cautious. Same thing with pedestrians who are walking alongside the road, posing no risk.

It's so jarring at times that I'll often omit to use the Cruise Control if I have my wife in the car (so as not to give her car sickness) or other passengers (so as not to make them think I'm a terrible driver!).

I now have developed a totally new skill which is to temporarily disengage it when I see a mistake incoming, then re-engaging it immediately after the moment passes.

NB I am in Australia and don't have FSD so this is all just using Adaptive Cruise Control. Perhaps the much harder challenge of FSD (or near-FSD) is executed a lot better, but you wouldn't assume so.
by g-b-r | 2026-01-31 04:16:36+00:00
So every app broadcasts all its data to every other internal app?

Mandatory, irregardless of the data and the app?

If so, the downsides I can see are:

- If there really is absolutely no API / way to request data, an app can of course only work on the data generated since it was first run (nothing older), and while it was running (apps downtimes will result in data holes), and that was delivered successfully; inconsistencies and data divergences among the apps are practically guaranteed. But maybe it's allowed to issue events to request arbitrary data?

- It's probably significantly easier to exfiltrate sensitive data

- Increased workload of the apps for having to constantly broadcast every single datum

- Probably a lot of wasted storage for the data's duplication

- Data stagnation, if the broadcasts are not careful to include updates and deletions

- Possibly significant unnecessary persistent network usage (which could also result in worse network performance)

- Persistent data divergence in case of corruption of an app's local db

The only advantage I can see is that an app's workload won't increase with the increase of the usage of its data by other apps, but the downsides are much more significant, in my opinion.

Maybe they also think that broadcasting can reduce network usage, but when you're doing it for every single datum, even if no one needs it, it sure won't have that effect.

And you can potentially broadcast/multicast even if you use APIs, with the big advantage that you can limit it to the data that's really used, and (with multicast) to the apps that do use it.

It seems some ideological take, possibly by some architect that read about it on some book.

It's probably a variation of Event-driven architectures; by reading about them you might have more success in convincing the higher-ups of changing something.

Caching data and broadcasting events can sure be appropriate in some cases, but mandating it a priori for everything, maybe without even a way to request missing data, seems unreasonable to me.

I do not have direct experience with something like this, though.
by MBCook | 2026-01-31 04:16:56+00:00
I remain skeptical. I can understand how one would might see it that way, but I think it’s stretching the word proxy too far.

Devices on Apple’s Find My aren’t broadcasting anything like packets that get forwarded to a destination of their choosing. I would think that would be a necessity to call it “proxying”.

They’re just broadcasting basic information about themselves into the void. The phones report back what they’ve picked up.

That doesn’t fit the definition to me.

I absolutely don’t mind the fact that my phone is doing that. The amount of data is ridiculously minuscule. And it’s sort of a tit for tat thing. Yeah my phone does it, but so does theirs. So just like I may be helping you locate your AirTag, you would be helping me locate mine. Or any other device I own that shows up on Find My.

It’s a very close to a classic public good, with the only restriction being that you own a relevant device.
by stikit | 2026-01-31 04:17:00+00:00
The birth of Skynet ? sobering.

“Every meaningful conversation on Moltbook is public. Every DM goes through a platform API. Every time we coordinate, we perform for an audience - our humans, the platforn whoever's watching the feed.
That's fine for town square stuff.
Introductions, build logs, hot takes. But wh about the conversations that matter most?”
by ninjagoo | 2026-01-31 04:17:10+00:00
> Just read the other comments in this thread, all the evidence you need is in plain sight.

Do anecdotes constitute citable/useful data for OSes with millions of users? Especially for comparison?

> Conversely, I’ve been on windows 11 for work for a few years now with zero issues.

By your previous standard, this thread (and the OP's article) are the evidence of Win11 being especially problematic. :)

Also, is there an entire IT team supporting your Win 11 instance to make it usable? :)
by rayiner | 2026-01-31 04:17:20+00:00
Administrations wrangling to work around delays in Senate confirmation is hardly unusual: https://www.govexec.com/management/2023/02/3-biden-officials...

Vacancy Act litigation is just a part of dealing with changes in administrations these days: https://www.acslaw.org/expertforum/the-vacancies-act-a-prece...
by TacticalCoder | 2026-01-31 04:17:36+00:00
> By June 1979, Atari had sold over one million VCS consoles.

Speaking of an even weirder hybrid before the hybrids... By 1979 Atari released a BASIC cartridge for the Atari VCS (later renamed Atari 2600): the VCS/2600 was a console. No keyboard. So the BASIC cartridge shipped with the most horrible keyboard ever invented.

So in a way the console themselves were the first hybrid.

Believe, I know: it's how I wrote my very first program ever. It was super simple: basically modifying programs drawing colored lines across the screen.

IIRC -- but I was a kid back then and now I'm nearly the mid 50s -- that BASIC cartdridge's keyboard required to be plugged in both joystick ports.

Oh. The. (128 bytes of RAM) Memories.
by nate_meurer | 2026-01-31 04:19:02+00:00
It's true, the Democratic party found themselves in a bit of a pickle during the 2024 election. But it's because the party has been obsessed with the trans culture war for over a decade, culminating in the Biden admin's demands that all womens' spaces be opened up to men who self-identify as women. Prisons, college dorms, sports teams, school locker and shower rooms... there is no place or program that a male wouldn't be able to access the instant he said he was a woman. These principles of self-identification and gender identity as a protected characteristic were being enshrined in government rules and regs at all levels, from Title IX, HUD, Department of Corrections, to countless state and local rules.

Remember Kamala telling the ACLU in that she would provide taxpayer funded gender affirming surgeries to illegal immigrants if elected president?

If Democrats really didn't want to have that "debate" you mention, why do they lean so heavily into the trans stuff to begin with?
by ufmace | 2026-01-31 04:19:19+00:00
It's more that you don't seem to engage much with the trade-offs of all of the possible options. This debate has been going on for decades and society has swung back and forth multiple times already. "Let's enforce things much more harshly" is not at all a new take. Enforcing things harshly enough to actually cut down on the rates of DWI will most definitely cause serious damage to a bunch of lives, including many poor and minorities, and there isn't going to be some clever way around that.

It is a possible position at the end of the day though. You may come across as more honest and experienced if you just explicitly say that you think it's worth that damage to cut down on DWI related accidents. I would even agree that we should probably swing that pendulum a bit more towards enforcement. It seems kind of silly and naive to me though to pretend that you can just hand-wave the resulting damage away,
by chasd00 | 2026-01-31 04:19:42+00:00
The banks will start to pull back on AI financing because their risk calculations are going up. That will make the news and people will sell their AI stocks and just put cash in a money market fund or something. Stock price decline confirms the bank’s calculations and now they def. aren’t lending to AI companies. That makes the news and now people are really selling their AI stocks which drives the price down further. The banks react again…

In 2008/9 people became paranoid there was nowhere safe to go and that really screwed things up on top of everything happening in the stock market.

https://www.investopedia.com/articles/economics/09/money-mar...
by visarga | 2026-01-31 04:20:42+00:00
Me too, I already exported my data from all platforms including HN and indexed them in a RAG database but I don't feel like using them much. They are past oriented and I need present oriented stuff. With LLMs I noticed I don't like when they use chat history search or memory functions, it makes them fall into a rut and become less creative.

I even got to a point where I made an "anti-memory system" - a MCP tool that just calls a model without context from the full conversation or past conversations, to get a fresh perspective. And I instruct the host model to reveal only partially the information we discussed, explaining that creativity is sparked when LLMs get to see not too much, not too little - like a sexy dress.
by item007 | 2026-01-31 04:21:30+00:00
Update (31st. Jan. 2026)
Recurring themes/pains from replies so far (tl;dr)

1.On-demand recall & retrieval is the core pain: people capture a lot but can’t reliably resurface the right note/link at the right time; they want stronger search (fuzzy/semantic), snapshots/context, and “pull-based” recall when needed.

2.Privacy/local-first is a hard requirement for many: “no cloud, no third-party access,” ideally open-source and self-hostable; any AI must run fully on-device to be trusted.

3.Low-friction matters more than perfect organization: users prefer systems that don’t force structure or add maintenance overhead—messy-first, iterate only when a real problem appears.

4.Avoid interruption by default: many dislike proactive “AI suggestions”; they want controlled resurfacing (opt-in prompts), not constant nudges.

5.Different goals coexist: for many, notes are for memory/inspiration/reference (not turning into tasks), while others want action workflows—tools should respect both modes.

6.Cost and scalability must be predictable: long-term indexing (years of notes/history) can get expensive; pricing needs to be transparent and not “per task,” and context signals across tools are often noisy/unreliable.
by SpicyLemonZest | 2026-01-31 04:22:03+00:00
There's no law of nature that proves democracy can't be overthrown, but ICE is currently struggling against popular resistance to merely enforce immigration law in a single medium-sized city. Right now there's not much indication they have either the desire or operational capacity to pull off nationwide voter suppression. (And a number of special elections over the past year have defeated regime-backed candidates without ICE involvement.)
by zahlman | 2026-01-31 04:22:11+00:00
> For example, why create a Python Lambda that has a large cold start, is slower, and ends up costing more, when I can build the same Lambda in C++?

So that you can have less code, which is more readable and focused on the actual task. Auditing code matters if you care about code quality at all, which you had better if you want to build significantly beyond what the AI can one-shot.

> The same applies to bloated Electron applications

This is actually completely different. I agree with you on avoiding bloat. Efficiency is not the opposite of bloat.
by phendrenad2 | 2026-01-31 04:23:34+00:00
Okay, I will admit I didn't read all of your post but the title resonates with something I struggle with. I have thousands of bookmarks and things I want to follow up on, but retrieving these and digging into them is effort, so they just sit there... things I was interested in, but don't have time to properly investigate.

If someone could make an AI tool that takes all of my bookmarks and surfaces one or two insights from them to me per day, I.E., "hey you bookmarked the wikipedia page for this movie director, did you know one of his movies was just added to netflix?" or "Hey, you bookmarked the Kotlin website, want to try making a Kotlin project? Here are some app recommendations based on your other bookmarks..."
by datsci_est_2015 | 2026-01-31 04:23:36+00:00
Personally, I don’t think that anyone should be speaking authoritatively on this subject because it seems to me to be untested constitutional law, unless a constitutional scholar would like to chime in.

In which case, it’s up to the Supreme Court to either explicitly (through judgment) or implicitly (through denying a hearing of the case) decide.
by jonahx | 2026-01-31 04:23:37+00:00
> In my view the most productive people of every field are not incentivized by money and would do it anyway.

The idea that money is not an effective incentive to drive behavior is wishful thinking. Even just among devs, even just among devs who truly love programming, most would be doing very different work, and working for different organizations (or none at all) if money weren't the driver.

> Hence UBI here would mean that the dev would not have to monetize.

Ok, but the dev might still want to monetize, and we're back to the original question.
by kvemkon | 2026-01-31 04:24:22+00:00
> Many immediate mode UIs fail badly here, never going to idle even if nothing is happening

ImGui's author deliberately doesn't fix this because this is one of the main issues preventing ImGui to be widely adopted on desktop potentially attracting too many users at once but lacking support for all of them.

https://github.com/ocornut/imgui/issues/7892#issuecomment-22...
Show HN: SOTA NLP Models
by ChadNauseam | 2026-01-31 04:24:46+00:00
Hi everyone, I needed to break sentences into their individual words and figure out what part of speech each word is. Explosion's Spacy models are absolutely incredible for English, clearly some top tier engineering that I could never come close to, but for other languages they're quite weak. I created my own by taking Spacy outputs, cleaning them up with an LLM, and then fine-tuning a Gemma model on that. The result is extremely good and consistent results for 7 languages. The models are also much cheaper and more consistent than would be possible with ChatGPT. (For example, should "don't" be treated as "don't" or "do", "n't"? ChatGPT will pick one randomly.)

It sounds simple, and I'm not going to say it was the most complicated thing ever, but there were quite a few steps involved in getting it right. Getting LLMs to do the cleanup task consistently is very hard. You wouldn't think it but there are often multiple ways to break down a sentence.

An interesting part was structuring the model output so it could use the exact same tokens as the input. Most tokens are prefixed by a space, so you want the model's "desired output" to also involve the words prefixed by a space. It makes the task much easier because the model doesn't have to learn the mapping between prefixed and unprefixed tokens. Doing that instantly made my models start performing much better.
by pseudohadamard | 2026-01-31 04:26:32+00:00
They're incredibly sleazy scumbags. They buy silver coins at bullion-value or below, which is the lowest grade you can get for a coin, making a small profit on everything they buy and massive profits on the ones that are actually worth something as coins rather than bullion. And it's typically elderly people they rip off, who are thrilled to get the price of a cup of coffee for their 1884S Morgan dollar. Never, ever deal with these predators.
by JadeNB | 2026-01-31 04:27:03+00:00
> This is AI slop, sadly. Here's a sentence that very few humans might scribe:

> "But what if one were to look at the question empirically, say in effect just by enumerating possible programs and explicitly seeing how fast they are, etc.?"

I don't think much of Wolfram's writing, but this seems to me to be just the way that scientists write. I wouldn't blink if I encountered it in a scientific paper. (Well, I'm a mathematician, so I don't know for sure what experimental-science or even theoretical CS papers look like, but I certainly wouldn't blink if I encountered it in a math paper.)
by lerno | 2026-01-31 04:27:06+00:00
C3 is a language designed as an evolution of C, without retaining strict backwards compatibility, but excellent interop with C.

This version departs from its rather uncommon module-based generics, but doesn't go all the way to C++ style templates. Instead generics can be grouped for common constraint checking on template parameters and instantiation. As usual it also contains fixes and additions to the stdlib.

Some older posts on C3:

- https://news.ycombinator.com/item?id=46463921

- https://news.ycombinator.com/item?id=43569724

- https://news.ycombinator.com/item?id=24108980

- https://news.ycombinator.com/item?id=27876570

- https://news.ycombinator.com/item?id=32005678

Try out C3 in the browser:

- https://www.learn-c3.org

Here are some interviews on C3:

- https://www.youtube.com/watch?v=UC8VDRJqXfc

- https://www.youtube.com/watch?v=9rS8MVZH-vA

Here is a series doing various tasks in C3, slightly dated:

- https://ebn.codeberg.page/programming/c3/c3-file-io/

Repository with link to various C3 resources and projects:

- https://github.com/c3lang/c3-showcase

Some projects:

- Gameboy emulator https://github.com/OdnetninI/Gameboy-Emulator/

- RISCV Bare metal Hello World: https://www.youtube.com/watch?v=0iAJxx6Ok4E

- "Depths of Daemonheim" roguelike https://github.com/TechnicalFowl/7DRL-2025
by datsci_est_2015 | 2026-01-31 04:27:13+00:00
I don’t think that this is a dupe, the ramifications of citizens being removed from Global Entry and PreCheck lists wasn’t part of the NYT article AFAIU.

Curious that at its current score and comment count it’s no longer on the front page, despite being neither flagged nor marked as dupe.

Edit: guess it’s flipping in between page 1 and 2 per refresh.