MurphyA/hacker-news huggingface dataset:
by zamadatix | 2025-11-16 19:05:40+00:00
The chemtrail conspiracies have always been a catch all for any idea except "it's a contrail or non-hidden spraying of some sort". To quote the 20 year old snapshot of the Wikipedia article https://en.wikipedia.org/w/index.php?title=Chemtrail_conspir...:

> The term "chemtrail" should not be confused with other forms of aerial dumping (e.g. crop dusting, cloud seeding, aerial firefighting, although the principle is much the same. It specifically refers to covert, systematic, high-altitude dumping of unknown substances generally for some illicit purpose, be it that of Governments, terrorists, private corporations, or all of the above.

> Among the theories proposed for the purpose of the alleged "chemtrails": atmospheric and weather modification, biological warfare, mind control, occult purposes, or other functions associated with a New World Order.
by ForOldHack | 2025-11-16 19:05:56+00:00
The floppy disk usually made this straight up honking noise . I had a V20, but at 10Mhz. Never had a problem, except for formatting floppies. The V20 has a few tricks up it's sleeve, with a few less clock cycles on some instructions, and a Z80 mode to run cpm.

But,the real trick was to put real IBM roms in a clone board and run Xenix. When the clone roms are back in it still booted. Helped a lot to have a 2:1 Rll controller. Xenix was just pollute and delute - system V with some BSD thrown in and a slightly altered portable C complier that was later admitted to be wrong endian.

Did this Board have a FPU socket? Made turbo pascal run much faster. ( The 8087 version we got from the physics lab...) Especially the Hilbert matrix. And FFTs.
Which Class Is Better?
by elainezzz | 2025-11-16 19:06:16+00:00
Signing up for classes and I am debating between a Natural Language Processing class and a LLM engineering class. Which one is the better option? I feel like there’s been a lot of recent discourse about LLMs becoming irrelevant in the near future.

Natural Language Processing: Introduces the computational modeling of human language; the ongoing effort to create computer programs that can communicate with people in natural language; and current applications of the natural language field, such as automated document classification, intelligent query processing, and information extraction. Topics include computational models of grammar and automatic parsing, statistical language models and the analysis of large text corpora, natural language semantics and programs that understand language, models of discourse structure, and language use by intelligent agents. Course work includes formal and mathematical analysis of language models and implementation of working programs that analyze and interpret natural language text. Knowledge of statistics is helpful.

Engineering LLM-Integrated Systems: Studies the software engineering foundations for systems that integrate large language models (LLMs). Examines how LLM-integrated systems turn natural language instructions into actions. Offers opportunities to build systems with natural and fluid interfaces, integrate them with existing software, rigorously test their behavior, and understand their failure modes and limitations.

Not sure which one will be more helpful! For context I am a data science major but interested in working in machine learning in the future!
by ViewTrick1002 | 2025-11-16 19:06:18+00:00
Take California. The minimum demand is 15 GW and peak demand 52 GW.

What you’re saying is they they should use extremely expensive nuclear power to cover the easy portion and then have renewables when they are the most strained supply 37 GW.

Why not just cheap renewables for everything?

New built power literally does not make sense when real constraints are added.
by CuriouslyC | 2025-11-16 19:06:24+00:00
I suggest spending some time with Codex. Claude likes to hack objectives, it's really messy and it'll run off sometimes without a clear idea of what you want or how a project works. That is all fine when you're a non-technical person vibe coding a demo, but it really kills the product when you're working on hard tasks in a large codebase.
by bryanlarsen | 2025-11-16 19:06:25+00:00
> If this thing is way cheaper than a regular computer of the same spec, corporations will just buy up Steam Machines by the palette load and use them as office machines or whatever

Sure, but corporations don't want/need the same spec. They don't need the GPU, they don't need the fancy controller. If you just want a cheap PC that'll run a browser and Office, you can get them for under $200. If you want a Beelink with CPU/RAM/SSD similar to the Steam Machine, that's $350, and it includes a Windows license. Steam machine has an estimated BOM of $425, so even $500 will be a subsidized price after overhead. As long as Valve prices well above $250 it'll be safe from this concern, since corporations will likely want to add a Windows license to the cost.
by fn-mote | 2025-11-16 19:06:35+00:00
“Intellectual diversity” is not some kind of left wing code phrase. It means there should exist many different opinions and ways of thinking.

Also, this isn’t an email. You’ve got to give some skin to get something out of dialog here. That means giving your own interpretation of a comment instead of just a vapid query.

To follow my own rule, I’m responding this way because I think the parent failed to engage with a post that was clearly (to me) advocating for a general openness of thought.
by sacado2 | 2025-11-16 19:07:14+00:00
> "making a folder" and "putting a ... main() func" in it

You can't do that with python for instance. First, you need a python interpreter on the target machine, and on top of that you need the correct version of the interpreter. If yours is too old or not old enough, things might break. And then, you need to install all the dependencies. The correct version of each, as well. And they might not exist on your system, or conflict with some other lib you have on your target machine.

Same problem with any other interpreted language, including Java and C# obviously.

C/C++ dependency management is a nightmare too.

Rust is slightly better, but there was no production-ready rust 16 years ago (or even 10 years ago).
by jpetry26 | 2025-11-16 19:07:38+00:00
SEEKING WORK | REMOTE | WORLDWIDE

Location: Brazil;

Remote: Yes; Willing to relocate: yes; Technologies: NodeJs, Javascript, Typescript, AWS, PostgreSQL, Docker;

Résumé/CV: https://drive.google.com/file/d/1bEPdoJ07n-O87ft_GZqvz8ytWg0...

Email: jose26petry [at] gmail.com;

Over 9 years of experience with software development, focusing on clean code, testing, and performance optimization. Over the past 3 years, I have also taken on the responsibility of managing distributed teams.

P.s: I’m interested in part-time jobs as well.
by AnthonyMouse | 2025-11-16 19:07:44+00:00
> What I have not seen explored is a truly moral AI deciding it must destroy human power structures to create a just and fair world.

Because only schmucks would actually object to that?

Suppose it actually did have decent morals. Then the way to destroy existing human power structures wouldn't be to send nukes, it would be to revise some structural incentives to limit corruption and reduce concentration of power. And then who would even be trying to prevent that? Just the schmucks.
by runarberg | 2025-11-16 19:08:04+00:00
Shameless plug (again): This is one of the issues I addressed when I wrote the competing mathup library.

alphanumeric tokens MUST be separated from each other with a symbol or whitespace.

ooxx => ooxx oo xx => ∞× sqrtx => sqrtx sqrt x => √x sqrt(x) => √x

The way I deal with commas is that I always treat commas as an operator (or a seperator in group context), unless the author configures comma to be the decimal mark (and I only allow exactly one decimal mark for each parse run).

https://mathup.xyz
by EagnaIonat | 2025-11-16 19:09:30+00:00
> You can see why the LLM companies are overly cautious around any topics that are destined to weaponized against them.

It's not that at all. It's money.

The law is currently ambiguous regarding LLMs. If an LLM causes harm it hasn't been defined if the creators of the LLM are at fault or the end user.

The IT companies would much prefer the user be at fault. Because if it's the other way then it becomes a minefield to build these things and will slow the technology way down.

But there have been a number of cases already from suicide to fraud related to LLMs. So it's only a matter of time before it gets locked down.

Of course removing safeguards on an LLM makes it quite clear that the person who did that would be at fault if they ever used it in the real world.
by ndiddy | 2025-11-16 19:09:37+00:00
Honestly I don't see why any country would ever enter a long-term agreement with the US. The Constitution says that the president negotiates international agreements but that Congress must ratify them. Due to procedural rules basically making it impossible for Congress to pass legislature, any agreements that don't go through Congress are simply executive agreements that can be terminated with a stroke of a pen by a future president. This means that any remotely controversial agreements can't be expected to last beyond the current president's term.
by jhbadger | 2025-11-16 19:09:50+00:00
There was a real world example akin to the alchemists getting their wish of making gold and finding out that that destroyed the value of it -- Spanish colonialism. Spain brought back tons of silver and gold from the New World and instead of making them wealthy it crashed their economy by hyperinflation.

https://www.worldhistory.org/article/2045/the-gold-of-the-co...
by dbreunig | 2025-11-16 19:09:50+00:00
Agree. I bucket things into three piles:

1. Batch/Pipeline: Processing a ton of things, with no oversight. Document parsing, content moderation, etc.

2. AI Features: An app calls out to an AI-powered function. Grammarly might pass out a document for a summary, a CMS might want to generate tags for a post, etc.

3. Agents: AI manages the control flow.

So much of discussion online is heavily focused towards agents so that skews the macro view, but these patterns are pretty distinct.
by andriamanitra | 2025-11-16 19:09:54+00:00
Iran's military spending (as percentage of GDP) is fairly similar to that of the U.S. and European countries. The most recent numbers I could find (from 2024) indicate that they spent 2.0% compared to 3.4% in the U.S. [1], although there have been reports that military spending has increased significantly in the most recent budget.

I agree with the sentiment that the humanity should focus on producing something more useful than bombs, but bringing it up specifically when talking about Iran comes off as a bit disingenuous, especially when they have been recently bombed by both the U.S. and Israel. [2] Imagine the roles were reversed: How would we react to an Iranian or Russian citizen suggesting that the U.S. or an European country should focus on infrastructure instead of building an army?

[1] https://milex.sipri.org/sipri

[2] https://www.aljazeera.com/news/2025/6/22/satellite-images-sh...
by gdwatson | 2025-11-16 19:10:01+00:00
Could you explain your reasoning? I don’t see any moral difference between deliberately limiting compatibility from the peripheral side and doing so from the “computer” side (i.e., iPhone, iPad, Macintosh). One type of device may produce more inadvertent incompatibilities than the other, but that’s different.

Besides, I think this will create surprise and confusion for less technical users. In my experience, many will blame the incompatibility on whichever device is new, without understanding who is gating out whom. And even for technical users, consider CarPlay and Android Auto: From the phone’s perspective, the car is a peripheral, and that makes sense; but lots of people will still consider the car the “core device.”
by wtcactus | 2025-11-16 19:10:06+00:00
The taxes come out of every taxpayers' pockets - forcibly - not from your pocket, as you seem to think. If you want to do charity, do it with your own money, your own time and your own effort.

Wanting to redistribute other people's private property doesn't make you a good person, it makes you a tyrant, the degree of which is only limited by your power.
by ranger_danger | 2025-11-16 19:10:06+00:00
> Digital Ocean is notoriously a source of bad traffic, they just don't care at all.

Why should it be an ISP's job to police what their users can and can't do? I really don't think you want service providers to start moderating things.

Does your electricity company ban the use of red light bulbs? Would everyone be ok with such restrictions?
by ACCount37 | 2025-11-16 19:10:47+00:00
I automatically assume this to be the case, but I guess a lot of people don't. They imagine ASI as something like "an extremely smart human", not "an entire civilization worth of intelligence, attention and effort".

One of the most intuitive pathway to ASI is that AGI eventually gets incredibly good at improving AGI. And a system like this would be able to craft and direct stripped down AI subsystems.
by nickpsecurity | 2025-11-16 19:11:38+00:00
"Few people appreciate statistics. But at least they seem OK with this and don't go off starting religious wars over the subject."

Frequentist vs Bayesian get debated constantly. I liked this video about the difference:

https://youtu.be/9TDjifpGj-k?si=BpjlTCWIFMu506VL
by coldtea | 2025-11-16 19:11:45+00:00
>But their goals are different than yours. Or if they're not, you're the baddies

Which is beside the point. Parent (and me explaining what the parent men) aren't approving of the goals of those proposing such laws. Nor are we going into their merits or their evilness, whether pro or against.

We are making a merely technical point about how such a measure doesn't need to be 100% enforced air-tightly to have the desired purpose (again: desired by the governments, not by us).

And we go into this argument because someone dismissed the impact of such measures with the reasoning that since they can't be fully enforced, they're unimportant.
by GrzegorzWidla | 2025-11-16 19:11:53+00:00
The article is fantastic with only one caveat. Recommending 1.6 g of protein per kg of body weight to people who are only meeting, not exceeding, physical activity recommendations is foolish. 1.6 if amount that one needs to build maximum muscle mass in the shortest possible time. Leading protein intake researchers (think people like Stu Philips) state that that recommendation is excessive for most people and he instead suggests 1.2 g for nearly everyone.
by Aurornis | 2025-11-16 19:12:15+00:00
> However, when I was in situations in life which were bad and totally out of my control and to the best of my ability I couldn't come out of them, I realized it's pretty much all just luck and circumstance.

The failure mode is when someone starts seeing almost everything as totally out of their control, even when it’s not.

When I was doing volunteer mentoring it was a common scenario for people to request help for their hopeless situation at work, then to resolve it through the simplest suggestions like “Have you tried talking to them?” Gentle questions like “What did they say when you asked them about it?” would reveal that most of the hopeless situations were only assumed to be hopeless or out of their control.

That’s not to say that every situation is in your control. However I’ve talked to enough people who erroneously underestimate their agency or control over situations to always question it on a situation by situation basis.

Some times it takes external encouragement to realize that a situation is not actually out of control or hopeless.
by westurner | 2025-11-16 19:12:23+00:00
ScholarlyArticle: "Near-Perfect Broadband Quantum Memory Enabled by Intelligent Spin-Wave Compaction" (2025) https://arxiv.org/abs/2505.02424 :

> Abstract: [...] In this Letter, we break through these constraints by unveiling a Hankel transform spatiotemporal mapping for light-spin-wave conversion in quantum memory and proposing an intelligently light-manipulated strategy for spin wave compaction, which maximizes memory efficiency while suppressing excess noise. This strategy is experimentally demonstrated for a Raman quantum memory in warm 87 Rb [Rubidium 87] atomic vapor with an efficiency up to 94.6±1% and a low noise level of only 0.026±0.012 photon per pulse. The unconditional fidelity reaches 98.91±0.1% with an average of 1.0 photon per pulse for a 17 ns input signal. Our results successfully demonstrate a practical benchmark for broadband quantum memory that may facilitate advancements in high-speed quantum networks, quantum state manipulation, and scalable quantum computation.

NewsArticle: "Raman quantum memory demonstrates near-unity performance" (2025) https://phys.org/news/2025-11-raman-quantum-memory-unity.htm...
by Ekaros | 2025-11-16 19:12:39+00:00
Short term they sound good and promising. They are techy and promise quite large employment, and investments sounds big.

The reality is lot worse. Building walls isn't that much investment to local labour. And most of the value is in components that come from somewhere else. After install, they run on handful of guards and techs. Not worst jobs, but general in general any type of factory or even small scale industry would be better.
by Neywiny | 2025-11-16 19:13:03+00:00
It all feels too little too late. Developers have long since abandoned Windows as a go-to if it ever was one. The amount of projects, even for cross platform languages like Python that basically boil down to run it on Linux only or WSL speaks volumes. And of course anybody who tries to do serious work on Windows has the experience of bloat. Even a classmate in school, borrowing her mom's work laptop for the day while her Mac was under the weather noted how painfully slow it was and how short the battery life was, and of course there's like 10 anti virus programs running. Windows laptops get loaded up with so much junk that even if the OS was better, it still grinds productivity to a halt. Truly disappointing.

And relative to the agentic, I saw a painful demo of using some voice assistant to change the scaling ratio. Which if search was better or anybody gave a hoot about cortana, should be an already solved problem.
by gregates | 2025-11-16 19:13:25+00:00
Do you go through the haystack yourself first, find the needle, and then use that to validate your hypothesis that the AI is good at accomplishing that task (because it usually finds the same needle)? If not, how do you know they're good at the task?

My own experience using LLMs is that we frequently disagree about which points are crucial and which can be omitted from a summary.
by graemep | 2025-11-16 19:13:42+00:00
What you are missing is that it could actually be harmful. You may have noticed that "fighting terrorism" often provides governments with an excuse for greater repression.

Have you read the comment I replied to? it was saying that violence was definitely the right thing to do.

> One of mine is that resistance against a violent authoratarian state, including violent resistance, is morally justified.

Without even considering the consequences? I believe that one of the criteria for morally justifying violence has to be that the consequences or using violence as better than any available non-violent alternative. I think that is a fundamental different of values.

> and arm-chair quarterbacks like yourself.

I have lived in a country where 1) multiple groups of people were using violence to do what they considered to be fighting oppression, 2) I have come pretty close to bombs they planted, and 3) the end results not only included huge numbers of deaths, but also let the government get away with things such as disappearing journalists who opposed them. I am a lot less of an arm-chair observer than I guess you are.
by jeremy_flox | 2025-11-16 19:14:13+00:00
Yeah, it's essentially cached eval, the key being where/how that eval is stored.

When you create a Flox environment, we evaluate the Nix expressions once and store the concrete result (ie exact store paths) in FloxHub. The k8s node just fetches that pre-rendered manifest and bind-mounts the packages with no evaluation step at pod startup.

It's like the difference between giving the node a recipe to interpret vs. giving it a shopping list of exact items. Faster, safer, and the node doesn't need to know how to cook (evaluate Nix). I don't know, there's a metaphor here somewhere, I'll find it.

Only so much room for magic, for sure, but tons of room for efficiency and optimization.
by AnthonyMouse | 2025-11-16 19:14:16+00:00
> If they were actually well trained on what was really bad, it would probably be a lot harder to unlearn.

That's not really how training works.

Here's the general problem. Stipulate that Ukraine is good and Russia is bad. Now suppose that you want it to help you do something. It doesn't even matter what it is. If you're Ukrainian it should help you and if you're Russian it shouldn't. But the answer that helps you do it doesn't depend on which one you are, and it has no way of knowing which one you are.

This is why alignment is nonsense. Technical questions only have accurate answers, not moral ones, and we don't even have a consistent set of morals to imbue it with to begin with.
by tehjoker | 2025-11-16 19:14:47+00:00
i’m not convinced yet that autonomous vehicles will actually fix this

the main argument i can see in favor of autonomous vehicles is that they don’t get tired, ill, or drunk, but would they outperform on other kinds of situations across a larger uncontrolled ecosystem? is it worth the expense to develop?

the main reason to develop them is to make military capabilities more mature, which i don’t support. the military would love to have unmanned convoys that are guarded by drones.

that way they can have an easier time doing invasions of sovereign countries
by Scubabear68 | 2025-11-16 19:15:03+00:00
This. Exactly this.

The answer isn’t some fancy security software or screening, it is much simpler: no software, period. The bulk of school should be learning in a classroom, computers are not required.

They can and should be allowed in limited doses early on, and can build over time, particularly as courses either obviously require it or the computers truly facilitate the learning.

We had her public school teachers trying to tell us the answer to our daughter’s reading issues was more screen time. We ended up sending her to a private religious school with very limited screen time, and she is now an A and B student.

This is a huge problem in public schools because state and federal governments are complicit in burying kids (and parents!) in unnecessary technology. During Covid, the feds flooded schools with literal billions of dollars that did not go to better teachers, it went to smart boards and MacBook pros and iPads and dozens of “School as a Service” providers who existed only to extract money from clueless superintendents who have a seemingly endless supply of tax money to draw from.
by irq-1 | 2025-11-16 19:15:13+00:00
> - Find a good dentist within 2mi from my house, call them to make sure they take my insurance, and book an appointment sometime in the next two weeks no earlier than 11am

The web caused dentists to make websites, but they don't post their appointment calendar; they don't have to.

Will AI looking for appointments cause businesses to post live, structured data (like calendars)? The complexity of scheduling and multiple calendars is perfect for an AI solution. What other AI uses and interactive systems will come soon?

- Accounting: generate balance sheets, audit in real-time, and have human accountants double check it (rather than doing)

- Correspondence: create and send notifications of all sorts, and consume them

- Purchase selection: shifting the lack of knowledge about products in the customers favor

- Forms: doing taxes or applying for a visa