MurphyA/hacker-news huggingface dataset:
by UncleMeat | 2025-11-04 12:51:05+00:00
> I'm trying to fix the part that's already broken.

The broken part appears to be that somebody spends 20 minutes screening a candidate rather than 5 minutes reviewing an AI summary of the screen. Inefficient, maybe.

Why does this actually get rid of the alternatives? You've reduced the active time to screen a candidate by 75%. But a CV filter reduces it by 95%. Why would your system involve less prep than HackerRank? It is still a test with a critical outcome. The idea that if only we didn't ask algorithmic questions that nobody would spend time rehearsing for interviews is ridiculous.
by CuriouslyC | 2025-11-04 12:51:08+00:00
I'm cool with scientists taking the "shut up and calculate" approach, after all we have to do science, and if you can't do experiments you're doing philosophy. The problem here is the same problem as with quantum hypotheses -- people have forgotten their materialist perspective is an experimental framework and are trying to claim the map is the territory and put the cart before the horse.
by haunter | 2025-11-04 12:51:17+00:00
Yes, there actual multiple ones

https://github.com/NaitLee/Cat-Printer

https://github.com/NaitLee/kitty-printer

https://github.com/rbaron/catprinter

https://github.com/xome4ok/cat-printer

https://github.com/TheNitek/CatGFX
by Sumanto | 2025-11-04 12:51:19+00:00
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by cesarb | 2025-11-04 12:51:28+00:00
> I am a citizen of country A but live and work in country B [...] I also have to pay taxes to country A, which involves more paperwork.

Isn't that the case only when country A is the USA? AFAIK, nearly all countries in the world tax only residents, not citizens, so in most cases you'd only have to fill tax paperwork (and pay taxes) for country B.
by maplethorpe | 2025-11-04 12:51:31+00:00
The language used to describe LLM behaviour such as "training" and "reasoning" has led people to treat them the same as humans, instead of a new and different entity that requires us to update our set of rules.

If I was the first person to invent a car, for example, and I named its method of locomotion "walking", would you treat it the same as a human and let it "walk" in all the same places humans walk? After all, it's simply using kinetic energy and friction to propel itself along the ground, as we do.

Because a car is so obviously different to a human, we intuitively understand it requires an alteration to our rules in order for us to coexist peacefully. Since LLMs are so abstract, we don't intuitively understand this distinction, and so continue to treat them as if they should be bound by the same rules and laws as us.
by shortrounddev2 | 2025-11-04 12:51:36+00:00
My main gripe with ML variants is the poor syntax around async (F#). For networked (web) applications, you begin to find that many or most of your functions are async, and wrapping them in computation blocks which come with their own internal syntax that eliminates a lot of the elegance of ML and makes your code look more imperative often feels like it defeats the purpose of the language.

In F#

let Foo = async { let! data = getData() |> Async.AwaitTask return data.value }

Is this the best they can do? C# just has

async Task<Data> Foo() => (await getData()).value;

Ive always wanted ML syntax like this:

let async Foo = let data = await getData data.value

I just dont write a ton of pure functions which have no I/O dependencies
by roenxi | 2025-11-04 12:51:55+00:00
We can be thankful he lived to see the Cheney family being evicted from the Republican party in humiliating style; in no small part because of how ruinous his policies were for the right wing's strategic position. An unfortunate trend in history is a lot of these sort of people never have to confront how disastrous their legacy was. If there was an expectation that they have to see consequences of their failures in their own lifetime maybe that'd spur some standards that more ephemeral concepts of legacy do not.
by Libidinalecon | 2025-11-04 12:52:00+00:00
I don't know, this coming month will be the first time that my subscription is going to lapse.

I have got incredible value from ChatGPT up to this point but I have been using it less and less.

What I have mostly extracted from it is a giant list of books I need to read. A summary of the ideas of a book I haven't read is obviously not the same as reading the whole book.

Before all this there were so many areas I was curious about that ChatGPT gave me a nice surface level summary of. I now know much better what I want to focus on but I don't need more surface level summaries.
by energy123 | 2025-11-04 12:52:01+00:00
This is an example of why analogies make for bad quality reasoning. The first 3 goods have marginal cost, so stealing them causes direct financial harm. Digital goods have zero marginal cost, so there is not any automatic harm. You may still wish for it to classified as stealing. The law may even agree with you that it is stealing. But it doesn't change the fact that this analogy is useless for the purposes of reasoning.
by JAlexoid | 2025-11-04 12:52:05+00:00
USSR operated under state capitalism, nothing like what any of the communists or socialists ever imagined. But I guess that is what USSR made socialism mean as a result.

BTW: Most of the world lives under state capitalism, not capitalism, not socialism, not any other form of economic system. The state has an unrestricted claim to any and all of your wealth.
by saberience | 2025-11-04 12:52:12+00:00
I hate when people bring up this “billions of years of evolution” idea. It’s completely wrong and deluded in my opinion.

Firstly humans have not been evolving for “billions” of years.

Homo sapiens have been around for maybe 300’000 years, and the “homo” genus has been 2/3 million years. Before that we were chimps etc and that’s 6/7 million years ago.

If you want to look at the entire brain development, ie from mouse like creatures through to apes and then humans that’s 200M years.

If you want to think about generations it’s only 50/75M generations, ie “training loops”.

That’s really not very many.

Also the bigger point is this, for 99.9999% of that time we had no writing, or any kind of complex thinking required.

So our ability to reason about maths, writing, science etc is only in the last 2000-2500 years! Ie only roughly 200 or so generations.

Our brain was not “evolved” to do science, maths etc.

Most of evolution was us running around just killing stuff and eating and having sex. It’s only a tiny tiny amount of time that we’ve been working on maths, science, literature, philosophy.

So actually, these models have a massive, massive amount of training more than humans had to do roughly the same thing but using insane amounts of computing power and energy.

Our brains were evolved for a completely different world and environment and daily life that the life we lead now.

So yes, LLMs are good, but they have been exposed to more data and training time than any human could have unless we lived for 100000 years and still perform worse than we do in most problems!
by sonicvroooom | 2025-11-04 12:52:49+00:00
it's a form of slavery when someone is profiting off the looong and hard, concentrated work of others without reimbursing them adequately.

that's why piracy Robin Hood Style is fine, but corporate piracy is not. I downloaded a Ghibli movie because I could't afford the DVD. I didn't copy it on VHS then to sell it via e-commerce to 1000 people.

AI companies grabbed IP and pull hundreds of thousands of customers with it, then collect their interactions either way and profit exponentially while Ghibli, Square Enix et al. don't profit from users using more and more AI ...

and most people are not "training" ML models ... people are using copy machines that already learned to compensate for their lack of will to put effort into stuff.

a lot of us been there and enough decided to move beyond and get/become better at being human aka evolve vs get cozy in some sub-singularity. some didn't and won't, and they are easiest to profit from.
by EunHyeChoi | 2025-11-04 12:53:02+00:00
Location: Seoul, South Korea

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Hi, I’m a software engineer with 6+ years of experience in startups, focused on building scalable, data-intensive web applications and developer platforms.

Recently, I built a config-driven RAG chatbot platform that delivers grounded, context-aware responses from a VectorStore-backed retrieval pipeline. It’s fully configurable for models and retrieval parameters and includes a LangSmith-based evaluation harness for tracing and regression testing.

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I am open to contract or full-time roles depending on the situation.
by dlisboa | 2025-11-04 12:53:44+00:00
This is such a common thing and tolerated you have to wonder whether it's actually immoral. I've met many people on my travels who went to Europe on tourist visas, got work and then got to stay legally later. No one was deported.

All of these were people in low-paying services industries, jobs Europeans don't usually want (waiters, cleaners, etc).

The only ones that had issues with immigration were my qualified worker friends who got a work visa and then the company had layoffs while they were there, losing their sponsorship. People with masters degrees who had to scramble to find new work in 30 days or face deportation.

It's hard not to think that's intentional.

I have a nuanced opinion because it's a rather complex subject but it's just a weird thing to have seen happen. As a tourist I had to prove up and down I wasn't going to stay there only to see no one else cares outside the airports. There's obvious wage suppression going on with these policies but these waiters and cleaners also had college degrees from good institutions, probably more qualified than some citizens.
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by RickJWagner | 2025-11-04 12:54:57+00:00
You’re on to something there.

In 2016, Trump first had to defeat the Republican establishment. Then he won the election.

In 2020, he nearly won again. In 2024, he won the election again.

He is like no politician before him. He is boorish, childish, uncouth, and boastful.

But it’s the fact that he opposes the sneering, snotty media/political establishment that gets him votes. People are tired of lies being constantly pushed upon them by condescending pretty people. Another snarky article from The Atlantic only feeds the monster.
by lukebuehler | 2025-11-04 12:55:02+00:00
That an okay-ish definition, but to me this is more about whether this kind of "intelligence" is worth it, not whether it is intelligence itself. The current AI boom clearly thinks it is worth to put that much input to get the current frontier-model-level of output. Also, don't forget the input scales across roughly 1B weekly users at inference time.

I would say a good definition has to, minimally, take on the Turing test (even if you disagree, you should say why). Or in current vibe parlance, it does "feel" intelligent to many people--they see intelligence in it. In my book this allows us to call it intelligent, at least loosely.
by galangalalgol | 2025-11-04 12:55:05+00:00
That does seem to be the plurality opinion yes. But you are responding to someone saying that what counts as transformative hasn't been decided by saying that you have decided. We don't know how human brains do it. What if we found that humans actually do it in the same way? Would that alter the dialog, or should we still give preference to humans? If we should, why should we?
by wincy | 2025-11-04 12:55:11+00:00
Hah, hilarious this is being unironically used, this was a lame ad old people they put out against piracy, and widely mocked by Millenials in the early 2000s.

We've have always known we should harvest the internet for absolutely everything. If we don't, it's fine, we can squabble about our IP and China will just ingest the entire Internet, make a model out of it, then release the Ghiblifier and we'll all download it or run it on Openrouter. You can already download Hunyuan Image 3.0 and it's just as good as OpenAI's image create, if not better. What's Japan going to do about that?

Also, for the record, I would absolutely download a handbag, or a television, or a DVD, or a car, if I could. I'd be pumping out Louis Vuittons and iPhones for my kids all day long, and driving a Lambo because why not?
by matthewdgreen | 2025-11-04 12:55:18+00:00
It's only a problem if (1) the immigrants in question behaving in a dangerous and criminal fashion, or (2) you need to urgently deport millions of peaceful, non-dangerous immigrants in an extremely short period of time, and you don't care about the harm this does to society.

Obviously in case (1) you can just detain and carefully identify people, since they're actually doing dangerous things and you'll have probable cause to detain them. Note that this was the case that nearly all the 2024 election rhetoric was focused on (i.e., deporting the "rapists and murders".)

In practice we're seeing that the true goal is (2), rapid emergency deportation and arrest of non-criminal immigrants. There is absolutely no emergency that requires this to be done quickly or carelessly, such that there's any risk to US citizens' (or immigrants) civil rights. It can be done carefully, with strong evidence, without violating civil rights. But of course, violating civil rights and creating disorder appears to be the goal.
by dvt | 2025-11-04 12:55:31+00:00
This will be litigated and I have a feeling OpenAI/Anthropic/Claude/MistralAI will win, since we've been down similar roads before[1]. With that said, AI slop will never be a replacement for human creativity, and while AI is pretty incredible technology, I'm actually way more bullish on people.

[1] https://en.wikipedia.org/wiki/Sony_Corp._of_America_v._Unive....
by flatline | 2025-11-04 12:56:03+00:00
There’s certainly a difference with AI. Not only can it reproduce exactly the same characters - in fact I doubt you can train the style without this ability - it puts those characters in reach of crayon-age children at a professional capacity. This crosses the line between copying and enabling IP theft in my mind. While I don’t agree with our current IP laws, the ease and rapidity of this seems like a real problem. How long before some kid in a third world country can produce a feature length Ghibli-esque movie and distribute it online? And how much will this dilute their brand etc? Is it really so much to ask the AI companies to filter their training sets?
by phplovesong | 2025-11-04 12:56:04+00:00
Ofc. But as a parent i WANT to give something to my children after i pass. Why should every generation "suffer" like the previous did?

What you do with your life is up to you, but having a guardrail can make life just that more pleasant. Life should not be about counting cents and going from pay-check to pay-check.
by jmyeet | 2025-11-04 12:56:06+00:00
Many in the US expecting an inheritance from their baby boomer parents are in for a rude shock. Why? Because their assets are going to get eaten up by retirement living and end-of-life care. If you still own your assets when you go into care, Medicaid is going to use up all those assets before paying for it and this could be tens of thousands a month with long-term medical care. You can avoid this is you plan ahead. Medicaid has a 5 year lookback on gifts so you need to transfer assets 5+ years before you need to pay for care but most people haven't done that.

For those who say this is the only way people get ahead, you are correct but you're missing the point. That shouldn't be the case and it's non sustainable. In the 1990s, the average house price in London was £70k. Now it's >£700k. It doesn't have to be this way. It shouldn't be this way (for a healthy society).

I've come to believe that this century will see a point where there's simply nothing left to exploit, nothing left to transfer from the working class to the ultra-wealthy. And as has always been the case historically, that's going to end with a more violent form of wealth redistribution (eg French revolution, Russian revolution).
by ForHackernews | 2025-11-04 12:56:11+00:00
But all those times the same system produces irrational gibberish don't count? GPT-5 will commonly make mistakes no thinking human could ever make.

Human: I'm trying to get my wolf, sheep and cabbage across the river in this boat, but the wolf keeps eating the sheep or the sheep eats the cabbage

Bot: You should put the sheep in the boat and take it across — if we delve into the biology of Canis lupus we discover that wolves don't eat cabbage!

H: Ok, so that worked great so far, the sheep is on one side and the wolf/cabbage is on the other.

B: Now, Option 1 is to bring the wolf across, or Option 2 you can bring the cabbage. I recommend (2) taking the cabbage as cabbages are smaller and easier to transport in a boat.

H: But then the sheep eats the cabbage, right? Remember that?

B: Exactly, that's sharp thinking. If you put the sheep and the cabbage together on the same side of the river, the sheep is sure to devour the cabbage. We need to not just separate sheep from cabbages — we need to separate cabbages from sheep! :rocketship:
by fancyfredbot | 2025-11-04 12:56:14+00:00
If it shouldn't be 90k LOC, and it doesn't need a DSL parser then reject it as overcomplicated and unmaintainable. Make it clear how large and complex you expect it to be and where existing code or framework should be reused so they can go away and address your concerns and so that there's a high chance you'll be able to approve if they do.

Above all, you aim to allow the contributor to be productive, you make it clear what constraints they need to operate under in order to use AI codegen effectively. You want to come across as trying to help them and need to take care not to appear obstructive or dismissive.
by bruce343434 | 2025-11-04 12:56:28+00:00
When you zoom out on Google maps, usually the street names and bussiness pins disappear. This code style is like having a fully informationally dense zoomed out map. Being too zoomed in is definitely frustrating, and reminds me of early attempts at "mobile" web pages. But I'm not sure that this condensed code style is a good general solution either, it certainly seems overwhelming, like a where's waldo puzzle.

I prefer having a consistent information density regardless of zoom level. When I would like to see more details, I would like to achieve that by zooming in. When I want the overview, I'd prefer to zoom out and have certain details omitted from the map.

Having a clear and by-convention code organization is one way to achieve this. Then to drill into the details, just navigate the project directory to the right file.

For rabbit Hole style hunting, following references/symbol usage/definition is ideal, which is enabled by modern IDEs.

K and family are made for data analysis. Data analyses are relatively simple software projects that don't have a very wide scope. I think this dense style of programming falls apart when you consider the breadth of requirements of typical modern application software.
by IsTom | 2025-11-04 12:56:35+00:00
I don't particularly use OCaml anymore (though might in the future I guess), but one thing I remember is that sometimes when you had different parts of type system interact the compiler would just complain that you can't do that (mixing variants and GADTs was one such case I think?) without any real indication that this would be a problem before you try it. I get why this happens and I don't know how many people would run into it, but some kind visible notice or documentation for these cases would be nice.
by aprilthird2021 | 2025-11-04 12:57:09+00:00
It's not true. Even though the vast majority of a tech company's cost were engineers, they also all grew like crazy and made much more (and grew even more) than they paid in salaries. The OP is correct, if it was just about salaries. These companies would have grown far more and hired far more endlessly, but the complexity of software at that scale makes diminishing returns from hiring more.
by Keyframe | 2025-11-04 12:57:40+00:00
It is a tough issue, but legalese will probably start from where and on what and how did this thing train on in order to be able to produce such results. It's similar to (guitar) amp modeling. Eventually they will either have to remove it or license it. I don't see other way. What makes it challenging is that vast majority of things that it was trained on can make a similar claim and it opens the floodgate. Outcome is either youtube-like thing where things exist in certain capacity, but not full or alternative is Napster like destiny where it gets banned altogether. Stakes are now a bit too high for Napster scenario. OpenAI might have a youtube-like angle for licensing with its Sora thing which seems to be turning into its own social network of sorts.
by koolba | 2025-11-04 12:57:41+00:00
> tax 100% above it. (should only concern a fraction of a fraction of cases) 3) put all this tax's proceeds in a sovereign wealth fund 4) at 21, a citizen gets access to her redistributed generational wealth 5) profit

If you think you’ve seen zany tax schemes, just wait till they try implementing something as crazy as a 100% tax.

There’s also a moral question of why you feel entitled to not just a majority of the fruits of my labors, but apparently all of them.
by infecto | 2025-11-04 12:57:42+00:00
Interesting to see how people feel about copyright law. If it’s a them the individual downloading IP it’s screw those evil IP holders. If it’s OpenAI we’ll screw OpenAI!!

I for one am interested to see how courts globally figure out what is acceptable or not. The problem imo is the cat is already out of the bag. No government is going to stop progress in LLM. I also have to wonder if we are better off in society to allow this type of IP infringement, not thinking about copying art style but being able to ingest research and other important pieces of information.