MurphyA/hacker-news huggingface dataset:
by lapcat | 2025-10-05 14:28:41+00:00
I feel lucky now that I grew up and attended school before ChatGPT, before smartphones, before social media, before ubiquitious internet.

I can't say that I'm totally unaffected by contemporary technology, and my attention span seems to have suffered a little, but I think I'm mostly still intact. I read most days for pleasure and have started a book club. I deliberately take long walks without bringing my smartphone; it's a great feeling of freedom, almost like going back to a simpler time.
by compiler-guy | 2025-10-05 14:29:06+00:00
A quick Google search for the number of processors shipped in 2024 shows nVidia shipping one-billion riscv _cores_ last year being pretty big news. Assuming they were one fourth of the market, and that there was just one core per chip (certainly not true) that’s four billion cores.

Meanwhile arm licensees shipped twenty-nine billion chips. Most with four cores, and some with many more.

Riscv is on the way up, but any death sentence for arm is decades away.
by techblueberry | 2025-10-05 14:30:53+00:00
While I’m not specifically arguing against your conclusion, there are a few narratives that to me point unfortunately to a systemic cause.

One is the book why nations fail, which among other causes points to circumstance and initial conditions. There was an interesting freakonomics podcast interviewing the mayor of, I think it was Dallas, and why Dallas was so successful, and the problem with California isnt sort of generic leftness but the specific organization of power structures that supports Nimbyism in a way that Texas doesn’t.

Plus the irony the EPA was formed by Nixon and the modern California environmental act was formed by Reagan?

The conspiracy theorist in me might suggest that in fact some of the environmental protections are explicitly right leaning to prevent progress.
by kannanvijayan | 2025-10-05 14:31:13+00:00
Discussing this in terms of anecdotes of whether people will use these tools to learn, or as mental crutches.. seems to be the wrong framing.

Stepping back - the way fundamental technology gets adopted by populations always has a distribution between those that leverage it as a tool, and those that enjoy it as a luxury.

When the internet blew up, the population of people that consumed web services dwarfed the population of people that became web developers. Before that when the microcomputer revolution was happening, there were once again an order of magnitude more users than developers.

Even old tech - such as written language - has this property. The number of readers dwarfs the number of writers. And even within the set of all "writers", if you were to investigate most text produced, you'd find that the vast majority of it is falls into that long tail of insipid banter, gossip, diaries, fanfiction, grocery lists, overwrought teenage love letters, etc.

The ultimate consequences of this tech will depend on the interplay between those two groups - the tool wielders and the product enjoyers - and how that manifests for this particular technology in this particular set of world circumstances.
by honkostani | 2025-10-05 14:31:31+00:00
I always found that Jit and GC are a marriage destined to come together, but never found one another entirely. Jit marks the hotloop in code- and thus can tell the GC in detail what a generation really is and how long a generation lifetime really lasts.

It can reveal secret cull conditions for long generational objects. If that side-branch is hit in the hot-loop, all longterm objects of that generation, are going to get culled, in a single stroke… so bundle them and keep them bundled. And now they started using it, to at least detect objects that do not escape lambdas. So its all stack, no more GC involved at all. Its almost at the static allocation thing we do for games. If the model proofs that every hotloop 5 objects are allocated and life until a external event occurs- static allocation and its done.

Great start. But you could do so much more than that with this. If you write a custom JIT whose goal is not just to detect and bytecompile hotloops, but to build a complete multi-lifetime model of object generation.
by tacitusarc | 2025-10-05 14:32:15+00:00
I ran into one of the most frightening instances of this recently with Gemini 2.5 Pro.

It insisted that Go 1.25 had made a breaking change to the filepath.Join API. It hallucinated documentation to that effect on both the standard page and release notes. It refused to use web search to correct itself. When I finally (by convincing it that is was another AI checking the previous AIs work) got it to read the page, it claimed that the Go team had modified their release notes after the fact to remove information about the breaking change.

I find myself increasingly convinced that regardless of the “intelligence” of LLMs, they should be kept far away from access to critical systems.
by chongli | 2025-10-05 14:32:35+00:00
Of course they care about it in the sense that they care about maintaining law and order which forms the foundation of their power. Everyone knows the emperor has no clothes when it comes to "think of the children" bills. It's a fig leaf over their power grab. Everyone also knows that this will ultimately be used to crack down on dissidents, criminals, and other undesirables (likely immigrants as well) and that is where you'll find the democratic constituency for this overreach:

Authoritarians generally and right-wing populists in particular are the major proponents of government surveillance and control.
by mrweasel | 2025-10-05 14:32:46+00:00
When Denmark liberalized gambling small "casinos" with slot machines and sports betting started to pop up everywhere. Those wouldn't be an issue if it was regular people popping Friday afternoon to get a coffee and spend $10 - $20 on the slot machines and perhaps put down a few bucks on this weekends big game, but you're right, it no.

The addicts and lonely line up waiting for these places to open, they spend everything they've got and the gambling places encourage it by providing them with free coffee, snacks and in some cases dinner.

No, gambling isn't immoral, but praying on the addicts, the mentally challenge and the lonely is. If you can't stay in business without exploiting the weak, you have no right to exist. The only negative consequence I see from banning gambling is the potential dangers of a black market.
by JumpinJack_Cash | 2025-10-05 14:33:53+00:00
Everything is gambling . You are either gambling money or time or a combination or both to end up ahead in a particular metric that interests you

However gambling time is seen as virtous and to be celebrated, whereas gambling money is the devil.

At least if you lose money you can make it back, when you gamble time good luck getting back your 4 year studying for a gender studies degree.

Also here on HN gambling on a startup which most likely go to 0 is seen as amazing, whereas betting on the Jacksonville Jaguars to win the SuperBowl is seen as bad and to be condamned , even though the Jaguars bet is at least an order of magnitude more likely to generate profits than the startup one.
by tamnd | 2025-10-05 14:34:02+00:00
Because of some LLM editing and the help of "AI policies," some people call this book "AI slop." I admit that I used an LLM for editing, and this book still needs heavy editing and a thorough review to fix all the bugs in the code. But I wanted to share it early to see if anyone is still interested in C before I move on to reviewing the list of exercises and preparing for several upcoming projects: building a search engine, a vector database, and a columnar database from scratch in C.

This book is open source, open for contributions, and completely free of charge, and anyone with a GitHub account can contribute.
by seandoe | 2025-10-05 14:34:40+00:00
> each of which individually must be an improvement over the status quo

I agree. And looking at the average web user specifically, is "owning your own data" enough of a UX improvement? Maybe paired with less ads and products that optimize for the end-user rather than advertisers? I think... maybe. I hope so. It's going to take a lot of work done for little money, which is concerning, but I'm optimistic.
by turtlebro | 2025-10-05 14:34:52+00:00
I don't disagree. I just don't think these "next-gen OSes" are going to stand in the long run. I'm optimistic that the current situation where we're buying $1000+ devices, handicapped, but perfectly capable of much more, is gonna change sooner or later. At the moment, Android desktop seems like the most likely candidate, it could see a lot of 3rd party support.
Show HN: TeXlyre – Local-first collaborative LaTeX/Typst editor
by fabawi | 2025-10-05 14:34:56+00:00
I built TeXlyre, an open-source collaborative editor for LaTeX and Typst that works entirely locally-first. No data leaves your device unless you explicitly share it.

The main pain point I wanted to solve: existing solutions like Overleaf require sending your documents to their servers, and local editors don't handle real-time collaboration well. TeXlyre uses CRDTs for conflict-free collaboration while keeping everything on your machine.

Key features: - Works offline by default - Real-time collaboration via WebRTC (peer-to-peer) - Support for both LaTeX and Typst - Your data stays on your device - Open source

The architecture uses local-first principles - documents are stored in your browser's storage and synced directly between peers when collaborating. No central server sees your content.

Still early but functional. Would love feedback from the HN community, especially around the collaboration UX and any edge cases I haven't considered.

GitHub: https://github.com/texlyre/texlyre

Demo: https://texlyre.github.io
by h2zizzle | 2025-10-05 14:35:02+00:00
I'd wager (heh) a bit of both. The distinction isn't that the affluent neighborhood gets to make its own decisions or be cared about by large corporations whose presence ostensibly enhances their quality of life, it's that poor neighborhoods don't. The reason the latter have these socioeconomically deleterious establishments is the same reason they don't get grocery stores or gyms: the people making the decisions don't see them as customers to serve, but as marks to exploit. And suddenly we're back to the notion that privilege isn't necessarily having it "better," but sometimes just having what most would consider the dignified standard.
by scottarthur | 2025-10-05 14:35:05+00:00
I have an ancient Qnap NAS (2015) which is on borrowed time and I’m trying to figure out what to replace it with. Keep going back and forth between rolling my own with a Jonsbo case vs. a prebuilt like the new Ubiquti boxes. This is an attractive third option of a modest compute box (raspy, NUC, etc.) paired with a JBOD over USB. Can you still use something like TrueNAS with a setup like that?
by AngryData | 2025-10-05 14:35:06+00:00
I think a big part of the problem is people are recognizing that many modern economic theories and models are kind of trash and failing to make accurate predictions today. Challenging popular economic theory will often get someone labelled a crackpot, regardless of how good or bad their models and predictions are. And the field and players that are in play and have some power to influence or change policies are deeply embroiled with political dogma and will fight tooth and nail against anything that might make their previously established beliefs and education obsolete or god forbid show they were just straight up wrong from the start.
by mnky9800n | 2025-10-05 14:35:07+00:00
It fulfills steve jobs promise that a computer is a bicycle for your mind. It is crazy to me that all these poeple think they are going to lose their ability to think. If you didn't lose your ability to think to scrolling social media then you aren't going to lose it to AI. However, I think a lot of people lost their ability to think by scrolling social media and that is problematic. What people need to realize is that they have agency over what they put in their mind and they probably shouldn't put massive amounts of algorithmically determined content without first considering if its going to push them in a particular direction of beliefs, purchases, or lifestyle choices.
by h123abfar | 2025-10-05 14:35:17+00:00
Thanks, I'll use Bernstein's recommendations. His article is not rambling: Mailing list discussions are just tedious to recap.

I wonder what your strategy here is. Muddying the waters and depict Bernstein as a renegade? You have made too many big-state and big-money apologist posts for that to work.
by WillAdams | 2025-10-05 14:37:59+00:00
And for the societal cost of that see stories such as:

https://www.npr.org/2011/07/26/137646147/the-gps-a-fatally-m...

and for the way this mindset erodes values and skills:

https://www.marinecorpstimes.com/news/your-marine-corps/2018...
by tamnd | 2025-10-05 14:38:41+00:00
Because all the content is taken from my personal notes (with more to come on building a search engine, vector database, and graph database in C and Go), in the last step I used an LLM for editing and fixing grammar and formulas (typing LaTeX by hand takes a lot of time). If you find the content to be just AI slop, I'm sorry for taking your time.
by davydm | 2025-10-05 14:39:03+00:00
Mostly hype from the grifter bros making billions off of llms and their promises for the future, as well as bullshit like "this model produces perfect code, no bugs, no hallucinations"

It's overconfidence from sycophants who don't understand that the very heros they worship either don't grok the limitations of llms, or outright lie about them. It comes from people seeing what's not there and extrapolating.

imo, agis will come, but not from llm roots. They may utilise llms but they will be a different thing altogether - one that is able to learn and apply logic and actual understanding to problems, not just try to spit out the next word that would commonly be there based on many many data lifts.
by bhc | 2025-10-05 14:39:45+00:00
The gambling industry has funneled a ton of cash into academic researchers producing papers that gave credence to the idea of "addictive personality," which in turn was massaged by PR experts into the notion that some people are just born addicts, and the gambling industry can't help it if they become addicted to gambling too. "Addictive personality" itself is on very shaky grounds statistically, and the derived PR messaging certainly is false. The gambling industry is likely more culpable in this mess than even a typical, generally well-informed person might be aware.
by icedchai | 2025-10-05 14:39:58+00:00
The issue was probably database migration time. I was once at a startup that had close over 1 billion+ rows in MySQL. We were approaching the `int` limit in another year or so. Many tables would need to be migrated due to foreign key constraints. Migrating one of the tables required significant downtime (6 to 8 hours, IIRC) due to slow spinning disks. Some servers didn't have enough space to rebuild the tables, so we'd want to add disks just in case. There were several servers.

A few "alter table" commands cascades to an operational PITA.
by tgv | 2025-10-05 14:40:00+00:00
What I mean by strict rules is (but not limited to): no profit for the organizer, loss limit for everyone across all bets, etc. But I don't know what set of rules would qualify to make gambling neutral.

- Infrastructure is better off paid by taxation. That's much fairer, and more predictable.

- I don't see insurance as gambling. It has a chance element, but that's not enough to qualify something as gambling. You buy security against large losses at a moderate price (*), instead of building up large losses for nothing. It's also a step which you hope doesn't pay out (sickness, fire, theft).

- Selling through lottery is exploitation.

(*) YMMV
by rufius | 2025-10-05 14:40:12+00:00
It’s more of the same. At least in my experience, much of work amounts to “yes sir. Will that be all sir?”

You take the input, mostly ignore it, and move on. YMMV on that strategy, but if you are deft with it then you can dodge a lot of bullshit.

It does require that the things you do decide to do pan out though. You’ll need results to back it up.
by nickslaughter02 | 2025-10-05 14:40:27+00:00
> The Regulation of Investigatory Powers Act 2000 (RIPA), Part III, activated by ministerial order in October 2007,[37] requires persons to decrypt information and/or supply keys to government representatives to decrypt information without a court order. Failure to disclose carries a maximum penalty of two years in jail, or five years in the cases of national security or child indecency. The provision was first used against animal rights activists in November 2007,[38] and at least three people have been prosecuted and convicted for refusing to surrender their encryption keys,[39] one of whom was sentenced to 13 months' imprisonment.[40] Even politicians responsible for the law have voiced concerns that its broad application may be problematic.[41]

https://en.wikipedia.org/wiki/Key_disclosure_law#United_King...
by ModernMech | 2025-10-05 14:40:35+00:00
This is a really eye-popping example. Because here we have input text that is fully structured perfectly unambiguous (it was carefully designed that way!) and yet the LLM can't get all the information out of it. Yet people are using these tools to summarize unstructured text, assuming the summary will capture the most salient points. Well how is the LLM supposed to be good for that task, if it can't even summarize the dang XML document? They keep telling me this thing is more expert than all the experts combined.
by steveBK123 | 2025-10-05 14:41:35+00:00
The problem with housing in much of the country, including NYC is it's just too hard to build, due to combination of local construction laws, zoning laws, various avenues of NIMBY holdup tactics (city council, lawsuits, studies, etc).

In NYC so much of the high-rise residential development is done in locations that are terrible commutes with 10 to 15 minute walks to the train... because there was no one there before to protest the zoning change. Meanwhile the buildings around the closest subway stops remain 4 story walk ups.

I don't see how the city getting more directly involved in social housing is going to help, as we already have NYCHA, which is run so poorly that the feds had to step in for oversight. The city just piles on regulation on top of regulation for buildings, but then doesn't really follow them themselves.

That Legionnaires' disease outbreak uptown was mostly city owned buildings that were in violation of city water tower inspection laws. Meanwhile some on city council have suggested tightening up the law to increase inspection cadence (cost) city wide, when again, the city isn't following its own law in the first place.

Another example - mandating $10k/elevator safety software upgrades after an elevator fatality due to elevator maintenance guy messing around with the elevator safety mechanisms (was like a safety patch to precent that particular override). Does anyone in their right mind think the city did these updates in city owned buildings?
by Xcelerate | 2025-10-05 14:41:56+00:00
From the abstract:

> This aligns with number theory conjectures suggesting that at higher orders of magnitude we should see diminishing noise in prime number distributions, with averages (density, AP equidistribution) coming to dominate, while local randomness regularises after scaling by log x. Taken together, these findings point toward an interesting possibility: that machine learning can serve as a new experimental instrument for number theory.

n*log(n) spacing with "local randomness" seems like such a common occurrence that perhaps it should be abstracted into its own term (or maybe it already is?) I believe the description lengths of the minimal programs computing BB(n) (via a Turing machine encoding) follow this pattern as well.
by goku12 | 2025-10-05 14:42:06+00:00
Here are some domain-specific examples of how AI improved (not replaced) human performance like a tool:

1. How AI revolutionized protein science, but didn’t end it: https://www.quantamagazine.org/how-ai-revolutionized-protein...

This is about DeepMind's AlphaFold 2. It's arguably a big deal in medical science. How do you propose humans do it?

2. Code vulnerability detection across different programming languages with AI Models: https://arxiv.org/abs/2508.11710

> What theorems are meaningful and impactful that humans can’t prove without AI?

I'm not a mathematician. I cannot give a definitive answer. But I read somewhere that some proofs these days fill an entire book. There is no way anybody is creating that without machine validation and assistance. AI is the next step in that, just like how programming support is advancing from complex tools to copilots. I know that overuse of copilots is a reason for making some developers lose quality. But there are also experienced developers who have found ways to use them optimally to significantly increase their speed without filling the code base with AI slop. The same will arguably happen with Mathematics.

The point ultimately is, I don't have definitive answers to any of the questions you ask. I'm not a domain expert in any of those fields and I can't see the future. But none of that is relevant here. What's relevant is to understand how LLMs and AI in general can be leveraged to augment your performance in any profession. The exact method may vary by domain. But the general tool use will be similar. Think of it like "How can a computer help me do accounting, cook a meal, predict weather, get me an xray or pay my bills?" It's as generic as that.
by philsnow | 2025-10-05 14:42:38+00:00
They also historically have extremely deep access to networks, and even if a given corp doesn't allow them to put a box inside the corp's own network, they control / have access to many or all of the links between most corps' datacenters.

From this privileged network position, if both sides support weaker crypto that NSA lobbied for, they can MitM the initial connection and omit the hybrid methods from the client's TLS ClientHello, and then client/server proceed to negotiate into a cipher that NSA prefers.
by mtillman | 2025-10-05 14:42:49+00:00
1. https://www.researchgate.net/publication/255603105_The_Effec...

2. https://pubmed.ncbi.nlm.nih.gov/25509828/

3. https://www.researchgate.net/publication/392560878_Your_Brai...

I’m pretty convinced it should be used to do things humans can’t do instead of things humans can do well with practice. However, I’m also convinced that Capital will always rely on Labor to use it on their behalf.