MurphyA/hacker-news huggingface dataset:
by ryao | 2025-05-31 21:55:25+00:00
The CSE-3 is divided into 900,000 PEs, which each have only 48kB of RAM:

https://hc2024.hotchips.org/assets/program/conference/day2/7...

Similarly, the SMs in Blackwell have up to 228kB of RAM:

https://docs.nvidia.com/cuda/archive/12.8.0/pdf/Blackwell_Tu...

If you need anything else, you need to load it from elsewhere. In the CSE-3, that would be from other PEs. In Blackwell, that would be from on package DRAM. Idle time in Blackwell be mitigated by parallelism, since each SM has SRAM for multiple kernels to run in parallel. I believe the CSE-3 is quick enough that they do not need that trick.

The other guy said “you will not be using more area in the WSE-3”. I do not see this die area efficiency. You need many full wafers (around 20 with Llama 4 Maverick) to do the same thing with the CSE-3 that can be done with a fraction of a wafer with Blackwell. Even if you include the DRAM’s die area, Nvidia’s hardware is still orders of magnitude more efficient in terms of die area.

The only advantage Cerebras has as far as I can see is that they are fast on single queries, but they do not dare advertise figures for their total throughput, while Nvidia will happily advertise those. If they were better than Nvidia at throughput numbers, Cerebras would advertise them, since that is what matters for having mass market appeal, yet they avoid publishing those figures. That is likely because in reality, they are not competitive in throughput.

To give an example of Nvidia advertising throughput numbers:

> In a 1-megawatt AI factory, NVIDIA Hopper generates 180,000 tokens per second (TPS) at max volume, or 225 TPS for one user at the fastest.

https://blogs.nvidia.com/blog/ai-factory-inference-optimizat...

Cerebras strikes me as being like Bugatti, which designs cars that go from start to finish very fast at a price that could buy dozens of conventional vehicles, while Nvidia strikes me as being like Toyota, which designs far lower vehicles, but can manufacture them in a volume that is able to handle a large amount of the world’s demand for transport. Bugatti can make enough vehicles to bring a significant proportion of the world from A to B regularly, while Toyota can. Similarly, Cerebras cannot make enough chips to handle any significant proportion of the world’s demand for inference, while Nvidia can.
by huvarda | 2025-05-31 21:56:40+00:00
> one of the greatest challenges of world models is maintaining coherence of video over long time periods

To be honest most of the appeal to me of this type of thing is the fact that it gets incoherent and morph-y and rotating 360 degrees can completely change the scenery. It's a trippy dreamlike experience whereas this kind of felt like a worse version of existing stuff.
by bediger4000 | 2025-05-31 21:57:28+00:00
If I may...

Ex structures engineer, current programmer here.

The technique described keeps you, as a programmer, from transposing coordinate variables by type system enforcement. You might have variables x1, y1, x2, y2. If y1 and y2 have a different type than x1 and x2, it's much harder to transpose them. Large flying vehicles often have many coordinate systems. Enforcing types will keep you from using stage 1 variables in a stage 2 context without type conversion.
Show HN: GitHub Action to track views, stars, and clones on my projects
by timf34 | 2025-05-31 21:57:35+00:00
GitHub only shows views and clones from the last 14 days — then deletes them. I wanted to see the longer-term impact of my open source projects, so I built a GitHub Action that saves daily snapshots and generates a simple Markdown report.

It tracks stars, views, and clones across all your public repos — no setup, no dependencies, no secrets.
by bamboozled | 2025-05-31 21:57:44+00:00
I never feel clean after the business. I’ve always wondered if it’s my physiology or diet. Something wrong with me ? I’ve meant to try find out but it’s not something people like to talk about.

I just don’t understand how people like to walk around with even a small amount of poop wedged in their crack, irritating the area and coming into contact with their underwear, pants, it’s absolutely disgusting.

I got “stuck” in Asia during COVID for 3 years, when I returned back to my home country (zero bidet society) I forgot all about the lack of bidets as it was just common place. When I went to cleanup I never forget the horror and I had a sinking feeling, as if I was ejected from civilization or something.
by margalabargala | 2025-05-31 21:59:17+00:00
It sounds like when you say you go to "male specific" events, you have a very specific set of male-specific events in mind. I suspect the experiences you described earlier are less due to the male-ness of those present, and more simply a function of the social events you tend to go to?

Like, not that that's a bad thing- live your lice how you want- but complaints of "my complaint with all-male gatherings is that the collectively viewed pornography is of insufficiently high quality" are not necessarily the most relatable.
by UncleEntity | 2025-05-31 21:59:27+00:00
In principle I agree with you but I also think this is a productivity shift which has no historical parallels.

All previous 'efficiency gains' were in physical manufacturing. Though, one could argue, the invention of the printing press was different as it allowed the more efficient distribution of knowledge. Same with the (general availability) of the internet. Now what we're seeing is the early days of more efficient application of knowledge well beyond what any single human could achieve.

Someone inventing a pin making machine freed up hundreds of thousands of people for different tasks allowing for the more efficient application of labor. Someone inventing a machine which does the mental work of hundreds of thousands of people on a single GPU will most likely follow a different trajectory.
by kopf | 2025-05-31 22:00:16+00:00
Can you explain to me why, despite "full type safety, autocomplete and validation" being the focus of "typed-ffmpeg", it makes sense to be passing width and height (or the x and y co-ordinates) as strings here?

``` .drawbox(x="50", y="50", width="120", height="120", color="red", thickness="5") ```

(from https://github.com/livingbio/typed-ffmpeg?tab=readme-ov-file... )
by JumpCrisscross | 2025-05-31 22:00:33+00:00
> Do you just mean that those smaller community banks are more at risk if rates rise? If so, because they issue more variable rate debt? Or is there something else?

Current issue is community banks have 3x the commercial real estate exposure of other banks [1]. They're also less liquid and have a lower ROA. So in cases where the shock comes from outside the financial sector, they tend to be the first we worry about.

[1] https://www.fdic.gov/quarterly-banking-profile 33% vs 11% of total assets
by latchkey | 2025-05-31 22:01:04+00:00
Anywhere people are unbanked. If you're not part of the system, then there is no system to get around.

Nomads are often unbanked too. When I was living in Vietnam for years, I was certainly under US laws and I obviously have to pay my taxes and follow Vietnam laws.

But, as a foreigner (especially one who doesn't speak the language), I'm still quite outside of the system there. If you've ever been a nomad, you'll understand that difference.
by highfrequency | 2025-05-31 22:02:13+00:00
I disagree completely - consider asking a color blind person to describe the color of flowers. Conversation would only be frustrating. This is analogous to LLMs seeing the world in tokens rather than characters, so character counts are simply not part of their input spectra in the same way that a blind person doesn’t get visual inputs.

Consider also all the smart people who get obsessed with conspiracy theories and spew out endless “mock reasoning” about them. Again, if “nothing incoherent anywhere” is your benchmark for intelligence, humans ain’t it. I mean, what would a computer say about a human that forgot where he just put his keys because he was thinking about dinner - “what, you can’t even store the last 10 seconds of history and search it?” Undergrads’ hit rates on mental double digit multiplication are probably <50%. In many, many ways we look completely idiotic. Surely intelligence is defined by what we can do.

Do you accept any positive definition for AGI, as in if they can achieve X result (write a bestselling novel, solve the Riemann Hypothesis) you would consider it intelligent? I find that negative definitions, as well as theoretical arguments about the techniques rather than the results (eg “LLMs cannot be AGI because they were trained the predict the next word”) to be basically useless for discussion compared to thresholds for positive results. The former will never be achieved (it is trivial to find cases of intelligent people being dumb) and the latter is totally subjective.
by anyonecancode | 2025-05-31 22:02:35+00:00
I don't think article is comparing like things. Biological _systems_ are indeed complex and reliable, but biological _processes_ are not. They fail all the time -- if they didn't there'd be no need for an immune system (and on the flip side, there'd be no genetic mutation and so no natural selection and evolution). To compare like to like, look at processes vs programs, not systems vs programs.
by throwaway314155 | 2025-05-31 22:03:04+00:00
I mean... https://news.ycombinator.com/item?id=44121671 informed you of exactly why this happens a whole hour before you posted this comment and the creator is chatting with people in the comments. I get that you feel personally cheated, but I really don't think anyone was deliberately trying to cheat you. In light of that, your comment (and i only say this because it's the top comment on this post) is effectively a stereotypical "who needs dropbox" levels of shallow dismissal.
by Noumenon72 | 2025-05-31 22:04:44+00:00
On one theory of college, you get someone to hold you to certain standards (which many people have trouble holding themselves to) and then verify that you were held to those standards, providing a signal that you can meet high standards.

Somehow, I missed this theory and also just wanted to skip all my classes with no repercussions, but I wish it had been explained to me better.
by neilv | 2025-05-31 22:04:51+00:00
I backspaced the comment I started typing, which was suggestions that required universities to rediscover ideals and backbone, and would like to instead ask a question...

For those who went to schools with strong honor codes, would you advocate that to others?

For example, did you find an environment of trust and respect, like you've not seen elsewhere?

For another example, do you have strong post-graduation alumni network, where someone in the alumni directory isn't just a possible foot in the door for sales ("hey, we went to the same school, can you grant me the courtesy of a call"), but that you can assume they are likely honest and have integrity?

Did it improve the quality of your education?

Were there downsides?
Ask HN: Which framework/book to get started into GameDev?
by recvonline | 2025-05-31 22:05:03+00:00
I am a seasoned engineer, worked up and down the stack (from mainframes to servers and frontends). I always liked playing games as well.

I am looking for a new "hobby", or something I can continuously build and improve, without it being another web application.

I can do Go, Rust, Python, JavaScript. A bit of C. But no C#, C++.

I know of Unity, but I haven't find a clear: That's the path for a newcomer to "publish" their first game. I don't care much about monetizing it, I just want to have fun and build stuff.

Is Unity the best way to go?
by RugnirViking | 2025-05-31 22:05:12+00:00
YOLO is way faster. We used to run both, with YOLO finding candidate bounding boxes and SAM segmenting just those.

For what it's worth, YOLO has been a standard in image processing for ages at this point, with dozens of variations on the algorithm (yolov3, yolov5, yolov6, etc) and this is yet another new one. Looks great tho

SAM wouldn't run under 1000ms per frame for most reasonable image sizes
by superkuh | 2025-05-31 22:05:25+00:00
Based on my quick skimming it's mostly a mathematical writing with modeling of the oscillators one might find in biology like neuronal populations, or gene expression based clocks, or calcium waves through gap junctions in the heart, etc. It does not seem to be pseudo science like the linked wikipedia article. But it's not down in the weeds biology either, it's abstract.

If anyone else is having trouble with their hosted "App to read (PDF)" that's not actually a pdf, the 1988 first edition pdf of the book is on libgen. If you don't know what libgen is or how to get there wikipedia will tell you.
by howon92 | 2025-05-31 22:05:45+00:00
This is a great idea. Can you share more about what "24 specialized agents" mean in this context? I assume each agent is not simply an LLM model with a specific prompt (e.g. "You're the world's best biologist. Review this biology research paper.") but is a lot more sophisticated. I am trying to learn how sophisticated it is
by dangus | 2025-05-31 22:05:45+00:00
The reason why the assumption that you are being xenophobic is not a strawman is because you offer up no other evidence or business reason that outsourcing to India specifically or even an external firm as a generality is solely and directly responsible for this breach. The same exact style of breaches happen with other first and third party data brokers very frequently, and those breaches include companies with employees in countries your xenophobic ass would consider to have much higher quality and better paid employees. Companies like Meta, Yahoo, Microsoft, EquiFax, and just about every large US bank have experienced breaches, many of which didn't even involve third party outsourced contractors.

Preventing security breaches has a lot more to do with process design and implementation versus the choice of handling that process in-house or externally. For all you know the breach was completely the fault of the M&S implementation as set up by employees in the UK (e.g., M&S gave their contractor in India access/credentials that were too generous and could have been tightened up far more in retrospect).

Remember that basically every company with an online presence is depending on third-party data brokers, and those companies operate around the globe, which is why accusing India of being low quality just because it's India is so xenophobic/racist/nationalist.

I would also say it is very obvious to me that you almost certainly wouldn't be making the same comments if M&S had outsourced to a customer service firm in Ireland or Scotland.

And wow, Tata mismanaged Tata Steel Europe. Guess what? US Steel mismanaged US Steel. General Electric mismanaged probably more than half of its entire business. So what's your point? Any company in any country can be mismanaged. It's actually really hard to manage a business perfectly for a long period of time. Singling out Indian companies for being Indian is basically the definition of xenophobia/racism/nationalism.
by eddythompson80 | 2025-05-31 22:05:49+00:00
Of course they aren't putting it on ChatGPT. Their data is stored in S3, Snowflake, BigQuery, or Azure Storage. It makes more sense to use the respective cloud provider LLM hosting service. You can use OpenAI's GPT models or Anthopic models hosted on Azure or AWS.

You're telling me companies in Europe aren't putting all their user data on AWS and Azure regions in Europe? Both AWS and Azure are gigantic in Europe.
by nullhole | 2025-05-31 22:06:19+00:00
Some years ago I tried to get a crater on the Moon (or alternatively Mars) named after Willard Boyle. His (and Smith's) contribution to the practice of astronomy should be unquestionable.

The naming wasn't possible at the time because there is already a crater on the Moon named Boyle (after the British natural philosopher and chemist Robert Boyle, 1627-1691), and duplicate names aren't allowed. Use of the first name ('Willard') wasn't suggested at the time.

It may be time to re-submit the request, but for the name "Boyle-Smith", if combined names are allowed.

[0] https://planetarynames.wr.usgs.gov/Page/Categories "The Moon : Craters: Scientists, engineers, and explorers, as well as other persons connected with astronomy, planetary, or space research who have made outstanding or fundamental contributions to their field. ... First names are used for small craters of special interest. "
by comice | 2025-05-31 22:06:41+00:00
I came across a player piano in a charity shop - they really wanted rid of it and I bought it for cash I had in my wallet, and much less than it cost have a piano movers deliver it for me (which was surprisingly cheap itself tbh!).

It's in quite some state of disrepair, with most of the tubes rotted. I'm (very slowly) restoring it. It's fun but it's a piano too, so that part needs restoring first, and then the player mechanism next. So many small parts to attend to.

Anyway, they can be quite cheap to get if you're happy with a broken one, because they're hard to move (they are even heaver than a normal piano!). Just try get one that at least works ok as a piano!

https://johnleach.co.uk/posts/2023/06/27/i-went-to-the-denti...
by pydry | 2025-05-31 22:06:44+00:00
Fantastic. Lets kill off the Price-Anderson Nuclear Industries Indemnity liability cap then.

If modern new plants are safe as houses as you say then there is NO problem relying upon ONLY sophisticated private insurers who know the risks well to cover any potential future Fukushima-level clean up costs (only ~$800 billion or so).

Until the act is killed though, it's very easy to believe that it exists SOLELY because sophisticated private insurers would take one look at the risks of nuclear kaboom and the costs of cleanup in the event it happens and go "fuck THAT".

Makes me feel really safe, knowing that as a taxpayer Im forced to be on the hook for all clean up costs over $300 million.
by impossiblefork | 2025-05-31 22:06:56+00:00
I don't really see how NVIDIA shipping so many chips matters. If more people want Cerebras chips they will presumably be manufactured.

I agree that Cerebras manufacture <300 wafers per year. Probably around 250-300, calculated from $1.6-2 million per unit and their 2024 revenue.

I don't really see how that matters though. I don't see how core counts matter, but I assume that Cerebras is some kind of giant VLIW-y thing where you can give different instructions to different subprocessors.

I imagine that the model weights would be stored in little bits on each processor and that it does some calculation and hands it on.

Then you never need to load the the weights, the only thing you're passing around is activations with them going from wafer 1, to wafer 2, etc. to wafer 20. When this is running at full speed, I believe that this can be very efficient, better than a small GPU like those made by NVIDIA.

Yes, a lot of the area will be on-chip memory/SRAM, but a lot of it will also be logic and that logic will be computing things instead of being used to move things from RAM to on-chip memory.

I don't have any deep knowledge of this system, really, nothing beyond what I've explained here, but I believe that Mistral are using these systems because they're completely superb and superior to GPUs for their purposes, and they will made a carefully weighed decision based on actual performance and actual cost.
by fooker | 2025-05-31 22:07:15+00:00
Right, when construction is fallible you need a factory.

Constructors are called in surprising places when running a C++ program. For example, think of a copy constructor failing somewhere far away from the code you are writing. If C++ allowed construction to fail, the control flow of propagating these errors would be tedious and invasive.

Hence exceptions as the only way to fail in a construction.
by accCer | 2025-05-31 22:07:37+00:00
It depends on which human feedback was used to train the model. For humans, there are various communication models like the four-sides model. If the dataset has annotations for the specific facets of the communication model, then an LLM trained on this dataset will have specific probabilities that replicate that communication model. You may call this understanding what the prompter says, but it's just replication for me.
by grishka | 2025-05-31 22:07:45+00:00
Speaking from my own experience, which is admittedly limited, but still — I had AI bots crawling my fediverse server, I added them to my robots.txt as "Disallow: *", they stopped.

As I said, it might be someone else entirely using OpenAI/Amazon/Meta/etc user agents to hide their real identity while ignoring robots.txt. What's to stop them? People blame those companies anyway.
by Aurornis | 2025-05-31 22:10:18+00:00
Part of the value of a degree is the University vouching that the student has learned the topic to their standards.

Different Universities have different standards and everyone knows this. It’s why a degree from Stanford is a stronger signal than a degree from an average institution. It doesn’t guarantee the Stanford grad is better, but it’s a strong signal that people know they can trust.

If a University starts allowing cheating (by ignoring it) the value of their degree will fall over time. Not at all once, but these things get noticed.
by ninalanyon | 2025-05-31 22:10:19+00:00
The solution to plagiarism is the same for all subjects: abandon continuous assessment and have viva voce as a significant part of the final.

When I studied applied physics eons ago we had tutorials in term time and a substantial essay to complete in the long vacation but these were between the student and the tutor and had no effect on the final class of degree; that was determined by a series of final exams (open note), the report of the final year laboratory project and its oral defence. My project report was more than a hundred typewritten pages with numerous diagrams and I had to defend it to my project supervisor and the head of department. I don't think a plagiarist could have done it.

Of course this is expensive, all the academics involved were permanent employees of the university, there were no graduate students doing slave labour tutoring.

In my opinion the plague of plagiarism is a direct consequence of attempts to get education on the cheap and of valuing the diploma more than the education itself.
by const_cast | 2025-05-31 22:10:42+00:00
USAID put a lot of money into treatment of infectious diseases like Tuberculosis and HIV. This is directly beneficial to us, the US. We are a globalized world, and as we have realized from Covid, it's simply not enough to prevent infectious diseases in your country.

We're already seeing more incidents of Tuberculosis in the US. As a reminder to everyone, Tuberculosis requires 6+ months of antibiotics to treat. It can cause brain lesions.
by vendiddy | 2025-05-31 22:11:25+00:00
I'm neither, but I tried learning Spanish from a "language teacher" and it didn't work. I'm not alone. I've spoke to dozens who had the same experience.

Years later I learned from people with the same method I described.

The AI models (large LANGUAGE models) of today seem very close to replicating that experience.

Try telling ChatGPT with voice mode "let us talk about X in [pick language]... Correct me when I'm wrong and explain why".

I'm curious where you think it's failing.

What do you feel is missing to replicate a good language teacher?
by dismalaf | 2025-05-31 22:11:31+00:00
The actual LLM part isn't much better than a year ago. What's better is that they've added additional logic and made it possible to intertwine traditional, expert-system style AI plus the power of the internet to augment LLMs so that they're actually useful.

This is an improvement for sure, but LLMs themselves are definitely hitting a wall. It was predicted that scaling alone would allow them to reach AGI level.