MurphyA/hacker-news huggingface dataset:
by sim7c00 | 2025-07-02 11:59:27+00:00
what a wonderfuly written article imho.

i first thought it was about the birds only, not knowing any history of the region really, but its nearly tied into eachother via metaphors, weaving them together to describe a single thing (human experiences within this conflict zone, i think?).

Likely i understand only half of it, knowing nothing about Korea or Koreans, but from what i taste in the article, i'd like to learn more.
by arccy | 2025-07-02 11:59:36+00:00
is there enough content (yours, third party, user reports in "neutral" forums, etc) referencing your product, especially comparisons?

your users are most likely going to stick with: products they already know, or something that's already popular. To entice users away from the competition, they need to see a clear value proposition that addresses their pain points, and preferably not just in marketing copy.
by christianqchung | 2025-07-02 11:59:42+00:00
This is a bad article. Some of the information is wrong, and it's missing lots of context.

For example, it somehow merged Llama 4 Maverick's custom Arena chatbot version with Behemoth, falsely claiming that the former is stopping the latter from being released. It also claims 40B of internet text data is 10B tokens, which seems a little odd. Llama 405B was also trained on more than 15 trillion tokens[1], but the post claims only 3.67 trillion for some reason. It also doesn't mention Mistral large for some reason, even though it's the first good European 100B+ dense model.

>The MoE arch. enabled larger models to be trained and used by more people - people without access to thousands of interconnected GPUs

You still need thousands of GPUs to train a MoE model of any actual use. This is true for inference in the sense that it's faster I guess, but even that has caveats because MoE models are less powerful than dense models of the same size, though the trade-off has apparently been worth it in many cases. You also didn't need thousands of GPUs to do inference before, even for the largest models.

The conclusion is all over the place, and has lots of just weird and incorrect implications. The title is about how big LLMs are, why is there such a focus on token training count? Also no mention of quantized size. This is a bad AI slop article (whoops, turns out the author accidentally said it was AI generated, so it's a bad human slop article).

[1] https://ai.meta.com/blog/meta-llama-3-1/
by bluecalm | 2025-07-02 11:59:56+00:00
I don't understand why politicians call for taxing assets but fail to tax assets they control in their own country. Why are super rich non-doms a problem in UK? Oh, they own a lot of land and real estate? You can tax it right there.

Or maybe I do understand - it has nothing to do with trying to fix the problem but is just a populist agenda that sounds good and helps with winning elections.
by lioeters | 2025-07-02 12:00:11+00:00
I was curious about this too, and found some discussion related to the topic of "bloated C" when the 3rd edition was announced.

The C23 edition of Modern C - https://news.ycombinator.com/item?id=41850017

Like this comment:

> Wow, the use of attributes like [[__unsequenced__]], [[maybe_unused]] and [[noreturn]] throughout the book is really awful. It seems pretty pedantic of the author to litter all the code examples with something that is mostly optional.

Or this one:

> Personally this just makes C much more complicated for me, and I choose C when I want simplicity. If I want complicated, I would just pick C++ which I typically would never want.

Examples of what people consider "bloat" in newer C standards:

_BitInt(N), guard, defer, auto, constexpr, nullptr _generic, typeof, restrict, syntax based tls
by thisIsAtest25 | 2025-07-02 12:00:23+00:00
In a perfect world without greed and corruption, I would agree with you. However, I live in Brazil, where the state is constitutionally mandated to provide all basic necessities (healthcare, education, etc.) and we have one of the highest tax rates in the world. Additionally, corruption here is absurd.

Despite having enormous budgets, the services the state provides are inadequate. Many people choose to sacrifice an additional portion of their income (on top of what they already pay in taxes) to access these services privately. Even with extensive social policies and taxes on virtually everything you do — salary, consumption, transfers, inheritance, literally everything — quality of life remains poor. High tax rates actually breaks development.

We must be cautious about supporting policies that tax the wealthy more heavily, because when the state considers someone earning $2,000 per month to be 'rich'—which already happens, as evidenced by the current income tax brackets (IRPF)—these measures won't improve anyone's life.
by rjsw | 2025-07-02 12:00:34+00:00
There was already a design of CADR for FPGAs [1] that does synthesize (and boot), I don't know why amszmidt needed to start again from scratch or if his design is a modification of the earlier one.

A similar comment applies to lm-3. Maybe it is built on a fork of the previous repo, it is hard to tell.

[1] https://github.com/lisper/cpus-caddr
by qwertox | 2025-07-02 12:01:03+00:00
It's really hard to tell. If instructions like the current extreme trend of "What a great question!" and all the crap that forces one to put

* Do not use emotional reinforcement (e.g., "Excellent," "Perfect," "Unfortunately"). * Do not use metaphors or hyperbole (e.g., "smoking gun," "major turning point"). * Do not express confidence or certainty in potential solutions.

into the instructions, so that it doesn't treat you like a child, teenager or narcissistic individual who is craving for flattery, can really affect the mood and way of thinking of an individual, those Chinese models might as well have baked in something similar but targeted at reducing the productivity of certain individuals or weakening their beliefs in western culture.

I am not saying they are doing that, but they could be doing it sometime down the road without us noticing.
by potato3732842 | 2025-07-02 12:01:04+00:00
The institution that created all the people who told us that globalization would make us all richer and the world freer when it seems to have done the opposite on a timeline just barely longer than the careers of those people while that industry goes on to severely lighten the pockets of every subsequent generation?

From where I'm sitting it looks like the bully finally made his way around to picking on someone who had it coming.
by ra_ndo_mdude | 2025-07-02 12:01:31+00:00
Location: Slovenia

Remote: Yes

Willing to relocate: No

Technologies: C++, computer networking, Linux kernel, Openwrt, embedded Linux, python, bash, C

Résumé/CV: (CV on request)

- managing openwrt distro from custom drivers to config

- C++ application code on embedded Linux, heavy focus on networking and libpcap

- scripting bash/python for manufacturing testing of own Linux board

Open to mid-senior roles in systems programming or embedded development. Eager to pick up new languages or tech stacks for a company willing to invest in my growth as an engineer. Background in mechanical engineering, with the ability to read schematics and solid electronics knowledge. Fast learner with strong troubleshooting skills and a tenacious approach to solving complex problems.

Email: ran_do_mname@dontsp.am
by luqtas | 2025-07-02 12:02:17+00:00
Mitch Prinstein wrote a book about power and it shows that dark traits aren't the standard in most leaders, nor they are the best way to get into/stay in power

author is "board certified in clinical child and adolescent psychology, and serves as the John Van Seters Distinguished Professor of Psychology and Neuroscience, and the Director of Clinical Psychology at the University of North Carolina at Chapel Hill" and the book is based on evidence

edit: you can't take a book from 1600 and a few alive assholes with power and conclude that. there's a bunch of philanthropists and other people around
by brookst | 2025-07-02 12:03:08+00:00
It’s fun to be outraged but a more nuanced read is that Amazon is stuck battling all kinds of fraud and it can be hard to differentiate. They also have a massive problem with fake bad reviews where a competitor spams competing products to try to increase sales of their own.

They have so many flavors of fraud that it’s very hard to get it right consistently at scale.

Not am Amazon fan, and please let’s not do the Reddit “understanding something is the same as excusing it” thing.
by samiv | 2025-07-02 12:04:11+00:00
"Heavy redistribution of wealth is already in place and it's not making things better."

You're right, because the distribution is removing large groups of people from the economy.

Just for reference, this has been done before and it produced possibly one of the best economies (at the time) and it was very social democrat. This was the United States after the so called "New Deal".

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

And just to make it crystal clear, we're not talking about taxing working people. We're talking about taxing the obscenely wealthy people who just sit on massive amounts of wealth, whether it's stocks or property or yachts or mansions or gold and jewelry. You know the > 10-1000x millionairs
by myrmidon | 2025-07-02 12:04:36+00:00
This is exactly what I mean-- I think also the whole housing affordability is just another side of this coin: Buying a home grew more expensive (in terms of median income) for decades, and that alone is a huge problem in my view, with no realistic solution that I can see (=> except demand implosion from a shrinking population, which would probably create twice the amount of problems that it solves...)
by loudmax | 2025-07-02 12:04:37+00:00
Most of these models have been trained using 16-bit weights. So a 1 billion parameter model takes up 2 gigabytes.

In practice, models can be quantized to smaller weights for inference. Usually, the performance loss going from 16 bit weights to 8 bit weights is very minor, so a 1 billion parameter model can take 1 gigabyte. Thinking about these models in terms of 8-bit quantized weights has the added benefit of making the math really easy. A 20B model needs 20G of memory. Simple.

Of course, models can be quantized down even further, at greater cost of inference quality. Depending on what you're doing, 5-bit weights or even lower might be perfectly acceptable. There's some indication that models that have been trained on lower bit weights might perform better than larger models that have been quantized down. For example, a model that was trained using 4-bit weights might perform better than a model that was trained at 16 bits, then quantized down to 4 bits.

When running models, a lot of the performance bottleneck is memory bandwidth. This is why LLM enthusiasts are looking for GPUs with the most possible VRAM. You computer might have 128G of RAM, but your GPU's access to that memory is so constrained by bandwidth that you might as well run the model on your CPU. Running a model on the CPU can be done, it's just much slower because the computation is so parallel.

Today's higher end consumer grade GPUs have up to 24G of dedicated VRAM (an Nvidia RTX 5090 has 32G of VRAM and they're like $2k). The dedicated VRAM on a GPU has a memory bandwidth of about 1 Tb/s. Apple's M-series of ARM-based CPU's have 512 Gb/s of bandwidth, and they're one of the most popular ways of being able to run larger LLMs on consumer hardware. AMD's new "Strix Halo" CPU+GPU chips have up to 128G of unified memory, with a memory bandwidth of about 256 Gb/s.

Reddit's r/LocalLLaMA is a reasonable place to look to see what people are doing with consumer grade hardware. Of course, some of what they're doing is bonkers so don't take everything you see there as a guide.

And as far as a decade from now, who knows. Currently, the top silicon fabs of TSMC, Samsung, and Intel are all working flat-out to meet the GPU demand from hyperscalers rolling out capacity (Microsoft Azure, AWS, Google, etc). Silicon chip manufacturing has traditionally followed a boom/bust cycle. But with geopolitical tensions, global trade barriers, AI-driven advances, and whatever other black swan events, what the next few years will look like is anyone's guess.
by like_any_other | 2025-07-02 12:04:42+00:00
> What are our strengths/specializations in your opinion?

Not static. The parent post reminds us that "Made in USA" meant low quality. But so did "Made in China". These things change, but if the national-level policy is "let the market figure it out" (the polar opposite of China's approach), they don't change for the better.
by achrono | 2025-07-02 12:06:14+00:00
The word "beat" and "mercenaries" are also quite important here -- to me, this is Altman's way of saying "you losers who left OpenAI, you will pay a steep price, because we will mess with you really deeply". The threat to Meta is just a natural consequence of that, to the extent that Meta clings onto said individuals.
by mittermayr | 2025-07-02 12:07:05+00:00
I've received nothing but nice messages about the site after posting it and people seem to be getting a kick out of it. I feel like this (if barely so) meets the bar to give it a pass perhaps, especially considering that my voice is worth as much as yours and the next person, so without upvotes, it will disappear, just how it's meant to be. Hope that helps a bit.
by v5v3 | 2025-07-02 12:07:16+00:00
People in the UK and other countries are heavily taxed at source. And they see it on their monthly wage slip.

And many people don't do a job they love, they do it as they need the money, and are miserable.

The 'look at at that group who are not paying their share and the party in charge is responsible , but we will change it if you vote for us' is one of the easiest plays to get votes and volunteers campaigning for you.
by moralestapia | 2025-07-02 12:07:45+00:00
So, imagine a world where everyone but Meta has access to generative AI.

There's two products:

A) (Meta) Hey, here are all your family members and friends, you can keep up with them in our apps, message them, see what they're up to, etc...

B) (OpenAI and others) Hey, we generated some artificial friends for you, they will write messages to you everyday, almost like a real human! They also look like this (queue AI generated profile picture). We will post updates on the imaginary adventures we come up with, written by LLMs. We will simulate a whole existence around you, "age" like real humans, we might even get married between us and have imaginary babies. You could attend our virtual generated wedding online, using the latest technology, and you can send us gifts and money to celebrate these significant events.

And, presumably, people will prefer to use B?

MEGA lmao.
by superultra | 2025-07-02 12:08:08+00:00
It’s not just too expensive. We need to seriously ask ourselves do we want too, at all, even?

My dad worked in a steel mill all his life so that me and my siblings didn’t have to. We’re he and the other guys at the plant proud of their work? Absolutely. Does nearly everyone wish their kids would do something else? Absolutely.

Industrialism has ipso facto become the soup du jour for thr agrarian myth. The reality is that it’s long, hard, relentless, menial labor. It’s also terrible for just living in general. My dad basically turned the lights off on a steel plant. That was 20 years ago and the land it was on will be unusable for even landfills for another 100 years. It was on a river and the river still smells like chemicals, and fish routinely die when passing through that area due to chemical runoff from the land.

So, I’m sorry, why do we want that here (let alone anywhere)?

I’m not saying that I don’t complain about my work from home job or that there aren’t negative effects but good luck weighing me getting carpal tunnel or taking anxiety meds to the stuff that industrial labor does to your body and our living environments.
by rayiner | 2025-07-02 12:08:11+00:00
As recently as the 1980s, 70% of domestic clothing was made in the U.S., including by brands like Gap and JC Penny. Did Americans have an impoverished standard of living in the 1980s? Is the cheap, disposable, foreign made “fast fashion” we have today better?

https://www.kqed.org/lowdown/7939/madeinamerica
by ulrikrasmussen | 2025-07-02 12:08:36+00:00
But the top 1% still pays proportionally less of their wealth in taxes than the bottom 50%. Yes, they may pay a large fraction of the total taxes, but with what they own they should pay even more.

I think another big problem is that this extremely uneven distribution of wealth is a basic democratic problem. The reason we have states is, among other things, to put the allocation of our finite resources under democratic control. If the majority of those resources are on private hands, then states get less control and our votes have less power.
by danayfm | 2025-07-02 12:09:05+00:00
I love it too. Spain taxes paid me for all years full ride scholarships to anywhere in the world. Never needed to work while atudying. Then it allowed me to steal high paying jobs in the US with no student loans. And I wasn't even a good student, I was just poor AF. I want the same for all Spaniards and will gladly pay high taxes if my family, friends, and my neighbors can also have that same opportunity.
by thephyber | 2025-07-02 12:09:14+00:00
Anchoring the reader’s opinion by using the phrase “Missionaries” is pure marketing. Missionaries don’t get paid huge dollars or equity, they do it because it’s a religion / a calling.

Ultimately why someone chooses to work at OpenAI or Meta or elsewhere boils down to a few key reasons. The mission aligns with their values. The money matches their expectations. The team has a chance at success.

The orthogonality is irrelevant because nobody working for OpenAI or Meta is a missionary.
by jonathanlydall | 2025-07-02 12:10:55+00:00
I'm surprised that you seem to be surprised. In South Africa it's not super far off from that.

Ignoring smaller tax brackets, income in the bracket of USD 48,500 to 102,900 is taxed at 41% with any higher earnings taxed at 45% [0].

On top of that we have 15% VAT on essentially everything we buy. Also, any "luxury" imported item, including all electronics, also has an additional substantial import tax on top of that, e.g. an iPhone is something like 9%.

It gets even worse though, if I want decent quality health care, education and security I have to pay for all of those privately. Between my wife and 2 small kids, we pay at least USD 10,200 extra each year, and that's not including occupational, speech and physio therapy my now 5-year old, but prematurely born, is needing at the moment.

An "advantage" for someone like me though is that a very large portion of our population is very poorly educated and thus cannot demand much of a salary, meaning that the domestic cleaner/child minder I employ is very affordable.

Just the other day someone pointed out that the middle class here might not get much for their taxes (as we're essentially subsidizing the majority who are poor such that they tend to pay nothing except VAT) but on the flip side we wouldn't have domestic workers and gardeners be as affordable.

[0]: https://www.sars.gov.za/tax-rates/income-tax/rates-of-tax-fo...
by beeforpork | 2025-07-02 12:11:03+00:00
Since I read about bristles in food after cleaning the grill, I've always been checking for remnants after brushing. I never found any. And I wonder: how are those remnants supposed to get into your food? They are metal, so don't they just fall down into the grill, if any break off? Maybe glued into old fat and other gunk? But you want that gone, too, right? Also, don't you use a rag to clean off other dirt, and wouldn't that make sure that bristles are gone?

Is this a myth or actually a problem? Some commenters do call it fear-mongering here, so what is it?

I also think I never read anything about this except in US media, so does this not happen in other countries? Different brushes? Different cleaning habits?
by hectormalot | 2025-07-02 12:11:19+00:00
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You'll thrive here if you:

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More information: https://www.stellarcs.ai/careers/software-engineer

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Apply: e-mail is in my profile, please indicate HN in your e-mail.
by xlii | 2025-07-02 12:11:24+00:00
Location: Warsaw/Poland Remote: Yes (only) Willing to relocate: No Technologies: Prolog, CLIPS, Zig, lisps, logic programming, problem modeling, distributed systems, event based systems Résumé/CV/E-mail: see links on website at profile Summary: I'm busy with my own work but I might be open to work on the problems in domains/techs mentioned above. Feel free to reach out. Non-employment contracts strongly preferred.
by danaris | 2025-07-02 12:11:25+00:00
Just because all the people who touted globalization went to college doesn't mean that college was the reason for it. That's ridiculously surface-level thinking.

Higher education also gave us all the people who told us that was a bad idea, with graphs, and sources, and evidence.

Higher education also gave us all the people who did the research that created the technologies we're using today.

Higher education also gave us all the doctors, lawyers, engineers, rocket scientists, brain surgeons, and literally every other highly skilled worker we have.

Higher education is absolutely vital to any functioning modern society.

From where I'm sitting it looks like you've got a chip on your shoulder against higher education, and are attempting to reduce the entire sector—which is incredibly diverse—to a single genuinely bad viewpoint that you don't even provide any evidence higher education produced (as opposed to simply "a few ideologically motivated people who received higher education produced").
by WinstonSmith84 | 2025-07-02 12:12:11+00:00
Maybe these economies shall try to attract the wealthy before trying to tax them ... Or is that so that because of past fiscal policies, the wealthy are gone and are now missing out to the economy? :-)

The reality is that many (other) countries understand this and attract these wealthy people who contribute to their own economy - because wealthy people are more than people with a large bank account, it's usually entrepreneurs who will hire local workforce for their business, buy real estate, etc.

If one knows Brazil and especially Spain, the other reality is that this initiative is certainly driven by a socialist-populist agenda, nothing to see here.

Either way, this initiative is just a show, and sure to fail for many reasons.