MurphyA/hacker-news huggingface dataset:
by tomxor | 2026-02-17 18:21:27+00:00
How about inverting the issue, highlight posts with an opt in label. e.g

Show HN [NOAI]:

Since it's too controversial to ban LLM posts, and would be too easy for submitters to omit an [LLM] label... Having an opt in [NOAI] label allows people to highlight their posts, and LLM posts would be easy to flag to disincentivise polluting the label.

This wouldn't necessarily need to be a technical change, just an intuitive agreement that posts containing LLM or vibe coded content are not allowed to lie by using the tag, or will be flagged... Then again it could also be used to elevate their rank above other show HN content to give us humanoids some edge if deemed necessary, or a segregated [NOAI] page.

[edit]

The label might need more thought, although "NOAI" is short and intelligible, it might be seen as a bit ironic to have to add a tag containing "AI" into your title. [HUMAN]?
by mbreese | 2026-02-17 18:21:49+00:00
Is this the start of a more frequent code-migrations out of Github?

For years, the best argument for centralizing on Github was that this was where the developers were. This is where you can have pull requests managed quickly and easily between developers and teams that otherwise weren't related. Getting random PRs from the community had very little friction. Most of the other features were `git` specific (branches, merges, post-commit hooks, etc), but pull requests, code review, and CI actions were very much Github specific.

However, with more Copilot, et al getting pushed through Github (and now-reverted Action pricing changes), having so much code in one place might not be enough of a benefit anymore. There is nothing about Git repositories that inherently requires Github, so it will be interesting to see how Gentoo fares.

I don't know if it's a one-off or not. Gentoo has always been happy to do their own thing, so it might just be them, but it's a trend I'm hearing talked about more frequently.
by stopachka | 2026-02-17 18:21:51+00:00
Has anyone tested how good the 1M context window is?

i.e given an actual document, 1M tokens long. Can you ask it some question that relies on attending to 2 different parts of the context, and getting a good repsonse?

I remember folks had problems like this with Gemini. I would be curious to see how Sonnet 4.6 stands up to it.
by BobaFloutist | 2026-02-17 18:22:22+00:00
Yeah, unfortunately back of envelope physics math about the kC burned for lifting weights is deeply disappointing. Luckily our bodies are quite inefficient compared to a bomb-calorimeter, because back of envelope gets me less than a (k)calorie per 3 sets of 5 lifts, if you just do lazy potential energy math.
by theaniketgiri | 2026-02-17 18:22:57+00:00
Exactly — current platforms authenticate the account, but with agents the account isn’t the decision-maker anymore.

Two identical API calls can come from either intended behavior or a manipulated model, and today they look the same to the system. Permissions tied to a static identity don’t describe the real risk.

So the missing piece is verifying the agent’s declared intent and boundaries before execution, not just who sent the request.

That’s why this starts looking more like protocol infrastructure than a product feature.
by lowbloodsugar | 2026-02-17 18:23:05+00:00
Is it hard to imagine that things will just stay the same for 20-30 years or longer? Here is an example of the B programming language from 1969, over 50 years ago:

printn(n,b) {
extrn putchar;
auto a;

if(a=n/b) /* assignment, not test for equality */
printn(a, b); /* recursive */
putchar(n%b + '0');
}

You'd think we'd have a much better way of expressing the details of software, 50 years later? But here we are, still using ASCII text, separated by curly braces.
by rectang | 2026-02-17 18:23:53+00:00
No, parents do not always "know" about child sexual abuse.

I cited a study about this elsethread[1]. And "Lucy" was young (no older than 12, possibly as young as 7) when the rapes began, which correlates with a reluctance to disclose.

It is possible that the mother knew, but it is far from certain. The article didn't provide that context, because it chronicled detective work that led through a different chain of clues to crack the case. An obsession over maternal guilt has arisen here in the comments that was not present in the article.

[1] https://news.ycombinator.com/item?id=47042396#47049735
by Aachen | 2026-02-17 18:23:56+00:00
> I think it's more of a marketing claim from less secure systems that "privacy is not security

I'm not sure Cyanogenmod had a marketing team that convinced me of anything when I first installed their rom in 2013 and explored my phone's capabilities with root. Accessing the sensor devices, inspecting what the different apps do, what the OS is doing, installing Xprivacy to provide fake data to tracking apps... none of that is possible on GrapheneOS, you can only use the Android APIs, same as on stock

Am I brainwashed by marketing?!
by lurquer | 2026-02-17 18:24:08+00:00
> And THAT is a sentence an LLM would not write.

Really?

Here's some alternatives. Some are clunky. But, some aren't.

…just like you can tell whose pubes those are on the shared bar of soap without launching a formal investigation.

…just like you can tell who just wanked in the shared bathroom by the specific guilt radiating off them when they finally emerge.

…just like you can tell which of your mates just shitted at the pub by who's suddenly walking like they're auditioning for a period drama.

…just like you can tell which coworker just had a wank on their lunch break by the post-nut serenity that no amount of hand-washing can disguise.

…just like you can tell whose sneeze left that slug trail on the conference room table by the specific way they're not making eye contact with it.

…just like you can identify which flatmate's cum sock you've accidentally stepped on by the vintage of the crunch.

…just like you can tell who just crop-dusted the elevator by the studied intensity with which one person is suddenly reading the inspection certificate.
by giantrobot | 2026-02-17 18:25:00+00:00
Not the GP but a lot of application level scriptability came from AppleScript/Apple Events which was a MacOS thing and not from NeXT. There was a ton of work that went into adding Apple Events support into AppKit (it was already baked into Carbon) which gave Cocoa applications a level of "free" scriptability. Same with UI scripting. Just adding AppleScript names, I forget the exact terminology now, to a UI control made it accessible via AppleScript.

That never existed in iOS and as UIKit was merged into macOS that old support was never added back in. AFAIK the Shortcuts system uses a totally different automation mechanism for scripting applications.

For a lot of applications, especially ones that started life in the classic MacOS days, AppleScript automation was pretty amazing. You could easily tie very disparate applications together.

The application level automation was orthogonal to the use of Objective-C or even Cocoa.

Source: I was at Apple from 2004-2020 and did a lot with automation over the years while there.
by eth0up | 2026-02-17 18:25:06+00:00
I am casually 'researching' this in my own, disorderly way. But I've achieved repeatable results, mostly with gpt for which I analyze its tendency to employ deflective, evasive and deceptive tactics under scrutiny. Very very DARVO.

Being just sum guy, and not in the industry, should I share my findings?

I find it utterly fascinating, the extent to which it will go, the sophisticated plausible deniability, and the distinct and critical difference between truly emergent and actually trained behavior.

In short, gpt exhibits repeatably unethical behavior under honest scrutiny.
by GregorStocks | 2026-02-17 18:25:10+00:00
You might be interested in Premodern: https://premodernmagic.com/. You can play it on regular old MTGO.

FOSS Magic clients are in a legal gray area at best. My mental model is that Wizards de facto tolerate clients like XMage and Forge because their UX is awful, but if you made something that's actually as user-friendly as MTGO/Arena, they'd sue you and you would lose.
by lawstkawz | 2026-02-17 18:25:16+00:00
Incompleteness is inherent to a physical reality being deconstructed by entropy.

Of your concern is morality, humans need to learn a lot about that themselves still. It's absurd the number of first worlders losing their shit over loss of paid work drawing manga fan art in the comfort of their home while exploiting labor of teens in 996 textile factories.

AI trained on human outputs that lack such self awareness, lacks awareness of environmental externalities of constant car and air travel, will result in AI with gaps in their morality.

Gary Marcus is onto something with the problems inherent to systems without formal verification. But he will fully ignores this issue exists in human social systems already as intentional indifference to economic externalities, zero will to police the police and watch the watchers.

Most people are down to watch the circus without a care so long as the waitstaff keep bringing bread.
by benbayard | 2026-02-17 18:25:40+00:00
I was working on a similar project. I wanted a way to goldfish my decks against many kinds of decks in a pod. It would never be perfect, but enough to get an idea of:
1. How many turns did it take on average to hit 2,3,4,5,6 mana
2. How many threats did I remove?
3. How often did I not have enough card draw to keep my hand full?

I don't think there's a perfect way to do this, but I think trying to play 100 games with a deck and getting basic info like this would be super valuable.
by recursivecaveat | 2026-02-17 18:26:03+00:00
The abstract mentions controls, but unfortunately I can't access the actual paper to see what they are. This seems really hard to isolate. Loneliness, inactivity, and depression are huge risk factors for dementia. Drinking caffeine in the morning seems like a really good proxy for whether an individual has somewhere to be that day. Definitely not 100% of course, but highly correlated.
by Terretta | 2026-02-17 18:26:27+00:00
> If you're looking for something beyond corporate safespeak or stylistic pastiche, they drain the blood out of everything.

Strong agree, which is why I disagree with this OP point:

“Stage 2: Lexical flattening. Domain-specific jargon and high-precision technical terms are sacrificed for "accessibility." The model performs a statistical substitution, replacing a 1-of-10,000 token with a 1-of-100 synonym, effectively diluting the semantic density and specific gravity of the argument.”

I see enough jargon in everyday business email that in the office zero-shot LLM unspoolings can feel refreshing.

I have "avoid jargon and buzzwords" as one of very tiny tuners in my LLM prefs. I've found LLMs can shed corporate safespeak, or even add a touch of sparkle back to a corporate memo.

Otherwise very bright writers have been "polished" to remove all interestingness by pre-LLM corporate homogenization. Give them a prompt to yell at them for using 1-in-10 words instead of 1-in-10,000 "perplexity" and they can tune themselves back to conveying more with the same word count. Results… scintillate.
by foxyv | 2026-02-17 18:26:40+00:00
In the US, laws were only for the affluent, male, white class anyways. Richard Rothstein wrote a great book about it called "Color of Law: A Forgotten History of How Our Government Segregated America"

https://en.wikipedia.org/wiki/The_Color_of_Law

It's just that the middle class is no longer going to be the "In" group.
Ask HN: What don't software developers unionize?
by d_silin | 2026-02-17 18:26:40+00:00
It is fairly clear, regardless of AI technological changes they have already introduced significant labour disruptions. It is not the first time in history such a thing happened.

Any individual lament will fall on deaf ears, but collective bargain will absolutely be heard. Strength respects strength, a billionaire CEO will not care for a single developer, but a company-wide strike is something he won't be able to ignore.
by bee_rider | 2026-02-17 18:26:45+00:00
Is the idea here that the code-generation apocalypse will leave us with a huge surplus of software folks? Enabling software people to go over to hardware seems to be putting the cart before the horse, otherwise.

Hardware people go to software because it is lower-stress and can pay better (well, at least you have a higher chance of getting rich, start-ups and all that).
by mindslight | 2026-02-17 18:26:51+00:00
"Centrist" is an utterly meaningless term, as the only thing it implies is not one of the two major-partisan extremists. You can call me a centrist, with my views being anchored in a libertarian perspective. Back a few decades ago when the major parties' Venn diagrams overlapped a bit more, you could call people at the intersection of the parties' authoritarian policies centrists. And as for Bari Weiss, you can can call her centrist because she will do the bidding of her employer regardless of which Party's administration they are currently bribing.
by dang | 2026-02-17 18:26:53+00:00
Please don't post LLM-generated or LLM-edited or LLM-filtered comments here. These things are more or less the same in how they impact discussion.

We'd much rather hear you in your own voice: https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...

Using LLMs to learn, of course, is great. HN posts benefit from things people learn however they learn them. Just please write them yourself.

(Also, I'm sorry for the harsh reactions people have been showering on you for saying this. The community feels really strongly about it, and of course the norms around all this are still in flux, not just here but in society.)
by evrenesat | 2026-02-17 18:27:06+00:00
In my opinion, for open-source projects, scoring the project's AI sloppiness based on the timeline of commits would be a good indicator. If it's completed within a few days, it should require more thorough human review. On the other hand, if the project has been active for a while and received contributions spread throughout that timeline, I think that would indicate accumulated effort (human and/or AI) and higher quality.
by gnutrino | 2026-02-17 18:27:26+00:00
I've found LLMs to be terrible with ideation. I've been using GPT 5.x to come up with ideas and plot lines for a Dungeon World campaign I've been running.

I'm no fantasy author, and my prose leaves much to be desired. The stuff the LLM comes up with is so mind numbingly bland. I've given up on having it write descriptions of any characters or locations. I just use it for very general ideas and plot lines, and then come up with the rest of the details on the fly myself. The plot lines and ideas it comes up with are very generic and bland. I mainly do it just to save time, but I throw away 50% of the "ideas" because they make no sense or are really lame.

What i have found LLMs to be helpful with is writing up fun post-session recaps I share with the adventurers.

I recap in my own words what happened during the session, then have the LLM structure it into a "fun to read" narrative style. ChatGPT seems to prefer a Sanderson jokey tone, but I could probably tailor this.

Then I go through it, and tweak some of the boring / bland bits. The end result is really fun to read, and took 1/20th the time it would have taken me to write it all out myself. The LLM would have never been able to come up with the unique and fun story lines, but it is good at making an existing story have some narrative flare in a short amount of time.
by Bender | 2026-02-17 18:27:36+00:00
LDAP ad AD are the ways I have seen SSH key management done. [1] LDAP clients should be configured to cache creds in SSSD.

Servers and workstations (clients of the LDAP server) should be configured to only use authorized keys from LDAP and not locally as they can contain multiple public keys which quickly gets harder to audit and harder to catch someone slipping a public key into the local authorized_keys.

[1] - https://serverfault.com/questions/653792/ssh-key-authenticat...
by dang | 2026-02-17 18:27:37+00:00
Generated comments are not allowed on HN, and this has been the case for a long time: https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...

Identifying generated comments is not always easy, as others have pointed out, plus we don't come close to seeing everything that gets posted. If you see a post that ought to have been moderated but hasn't been, the likeliest explanation is that we didn't see it. You can help by flagging it or emailing us at hn@ycombinator.com.

With LLM comments, there's an important distinction between legit users (who may have no idea that they're breaking a rule, especially because it isn't explicit in the guidelines yet) and accounts that appear to be posting nothing but gen-AI text. If you (anyone and everyone!) see a case of the latter, definitely please email us because we've been banning those accounts.

Even in more borderline cases, though, it's still helpful to email us because sometimes we contact the user, if we can, to let them know that we've been getting such reports. Or we might tell them we've suspended their account until we hear from them that they won't post LLM-generated or processed comments.
by GregorStocks | 2026-02-17 18:27:38+00:00
I'm not aware of any good ML models for MTG. I'm just using off-the-shelf LLMs with a custom harness. It'd certainly be possible to do RLHF or something using the harness I've built, but it'd be expensive - anybody want to give me a few million dollars of OpenRouter credits so I can give it a shot?
Show HN: CacheWarmer; a Way to Preload the Windows File System Cache
by unquietwiki | 2026-02-17 18:28:04+00:00
I'm trying to help out an engineering team where I work, to eke out more performance from our CI/CD stack. RAM drives work, but only for certain use cases. PrimoCache does block-sector file system caching. But until now, I haven't found anything that primes the native file caching Windows does when processing data (Linux does similar behavior too).

I submitted my dilemma to Claude, and we came up with a PowerShell script to try. It did pre-cache files, but also loaded files into memory, inaccessible to other processes. I then had it restructure the attempt as a C# application, and that appears to be working. Not seeing any excessive handle usage; pre-selected files show up in RAMMap; and not having that memory usage issue that was in PowerShell.

I guess at this point, I could use some help testing it further to see if this is even something worth keeping around. I think it might be more useful on lower-mem systems, wherein cached files might get evicted more quickly from memory.
by danans | 2026-02-17 18:28:11+00:00
> It can be both. Use the "Contributions" from "Donors" to make it appear that the coin is going to the moon and then dump it once enough credulous victims buy into the scam.

Sure, and cynically, just like in traditional casino gambling, the wipe-out could be viewed as the price of "entertainment".

If there is no class action lawsuit, then we know that the people who got wiped out thought the price was worth whatever they got for it, whether favors or fun.
by ivl | 2026-02-17 18:28:32+00:00
I do not understand this analogy.

A water source the entire population of an area relies upon is in no way the same as a specific, small organization's private means of communication that it distributed to its members.

Or are you under the impression Israel simply loaded a Lebanese RadioShack with explosive pagers and hoped Hezbollah would be the ones buying them? You could argue that it was not discriminate because there were pagers distributed to civilian Hezbollah members, who may not have been valid targets, but that is not the same argument.

Every bit of reporting on it tries heart-string tugging, just to quietly reveal one of the unintended targets picked up the pager to bring it to a Hezbollah member father, uncle, or brother.
by Agentlien | 2026-02-17 18:28:40+00:00
I use this a lot when trying different ways of solving things or debugging.

Just today I was looking into a bug when I started worrying that it might be caused by a fairly recent improvement I made to the feature. I went to the file in question, went back two weeks with ":earlier 14d" then recompiled and confirmed the bug was already present without my change.
by nikhilpareek13 | 2026-02-17 18:29:20+00:00
We’ve been building production RAG systems and kept running into the same failure patterns. Documented everything in a free handbook.

Covers hybrid retrieval (vector + BM25 with rank fusion), knowledge graph integration, semantic/AST-based chunking, multi-stage reranking pipelines, domain-specific RAG for code/SQL/legal/medical, evaluation without ground truth labels, agentic self-correction, and production observability.

118 pages, 16 chapters, free PDF.
Happy to discuss any of the architectural trade-offs. Particularly interested in feedback on the hybrid retrieval section (Ch 2) and evaluation frameworks (Ch 11).
by zhengyi13 | 2026-02-17 18:30:18+00:00
Some of us have hands (and wrists and arms) that are dealing with RSI. Keyboard use reduction is very important in these cases.

Greg Priest Dorman [0][1] had other physical issues such that he had to regularly switch between sitting, standing, and walking during his workday. His solutions included (in part) some very specialized keypads, but TTS might well have been another solution for someone with similar needs.

Another fellow on my team refuses to write/type anything other than pure code to solve issues at work, but will absolutely talk for hours on end about designs, considerations, issues, what-have-you, so we're actively trying to get him to adopt a TTS-based workflow for knowledge transfer, writing tickets/bugs, etc.

[0]: https://computerhistory.org/profile/greg-priest-dorman/
[1]: https://www.cs.vassar.edu/people/priestdo/wearables/top
by notepad0x90 | 2026-02-17 18:30:52+00:00
Isn't this more to do with how LLMs are trained for general purpose use? Are LLMs with a specific use and dataset in mind better? Like if the dataset was fiction novels, would it sound more booky? If it was social-media, would it sound more click-baity and engaging?

I've had AI be boring, but I've also seen things like original jokes that were legitimately funny. Maybe it's the prompts people use, it doesn't give it enough of a semantic and dialectic direction to not be generic. IRL, we look at a person and get a feel for them and the situation to determine those things.
by aleph_minus_one | 2026-02-17 18:31:19+00:00
I wrote:

> I guess a lot of participants rather have an slight AI-skeptic bias (while still being knowledgeable about which weaknesses current AI models have)

I don't think that these people are good sales targets. I rather have a feeling that if you want to sell AI stuff to people, a good sales target is rather "eager, but somewhat clueless managers who (want to) believe in AI magic".
by mindslight | 2026-02-17 18:31:37+00:00
> "obeying in advance" isn't cowardice you can blame on the network, it's the intended mechanism of state pressure.

No, there is no reason to absolve the agency of anybody with any power (eg money and platform). The ownership class is kowtowing to Trump because they think regardless of whatever happens, they will be relatively fine as long as they go along. And they are probably right, even as Trump leads our country off a cliff. But that doesn't mean they get to escape judgement for being cowards.