skysight-inc/HackerNews huggingface dataset:
To clarify, a legitimate benchmark for training is to calculate the running cost, not capex cost. Because obviously the latter would drop dramatically with the number of models you train. But to put into context, Meta wants to spend 50B on AI this year alone. And it already has 150x the compute of DS. The very real math going through investors head is - what's stopping Zuck from taking 10B of that and mailing a 100 million signing bonus to every name on the R1 paper?
It means the child of a first cousin. I'm a native speaker of English and I find the phrase confusing also.
I created a course a long time ago - didnt generate that much but was only about 3 weeks work - but it did improve my understanding of the subject, and also made it easier to get work and consultancy opportunities

It comes down to how you view the opportunity
Great points! Stalled development can indeed be frustrating, but it’s also a chance to refine processes and explore new tools. One approach we’ve seen work well is automating manual, time-consuming tasks like generating reports, invoices, or other documentation. For example, we built PDFBolt, an API for HTML-to-PDF conversion, to help teams streamline such workflows during downtime. It not only keeps the team productive but also ensures faster progress once blockers are resolved.
...how do you think you got your job? You ever see those old movies with rows of people with calculators manually balancing spreadsheets with pen and paper? We are the automators. We replaced thousands of formerly good paying jobs with computers to increase profits, just like replacing horses with cars or blacksmiths with factories.

The reality of AI, if AI succeeds in replacing programmers (and there's reason to be skeptical of that) is that it will simply be a "move up the value chain". Former programmers instead of developing highly technical skills will have new skills - either helping to make models that meet new goals or guiding those models to produce things that meet requirements. It will not mean all programmers are automatically unemployable - but we will need to change.
thanks for the explanation, these facts are completely overlooked in mass media in favour of catchy headlines
Google Maps Will Rename Gulf of Mexico as Gulf of America in US
> What happens to people who live in non smoking apartments and don't have private outdoor space to smoke?

You switch to vaping (public health win!) or you move.
Don't worry, the main discussion thread on this has been flagged and Dang will let it rot because it doesn't serve Paul Graham's agenda. Now we don't have to deal with such uncomfortable topics!
> Removed means a different generation. When cousins are in different generations than each other, we say they're removed. "Removed" is like “grand” and “great,” but with cousins.

https://support.ancestry.co.uk/s/article/Understanding-Kinsh...
R1 and O1 points towards a world where training models will be a small bucket of the overall compute. That doesn't mean the total amount of AI compute will stop accelerating, just that interconnected mega clusters is not the only or most efficient way to run a majority of future workloads. That should be negative news for the company that is currently the only one that is capable of making chips for these clusters, and positive news for the players that can run inference on a single chip, as they will be able to grab more parts of the compute pie.
>Like, I get that shared memory architectures like a 192GB Mac Ultra are a big deal, but who’s dropping $6,000+ on that setup?

AMD strix halo APU will have quad channel memory and will launch soon so expect these kinds of setups available for much less. Apple is charging an arm and a leg for memory upgrades, hopefully we get competition soon. From what I saw at CES OEMs are paying attention to this use case as well - hopefully not following suite on RAM markups.
Weeks can be a long time if it doesn't work out. And that is, by your own comment, in the good times. The good times don't last forever. Upon some dice roll it is going to turn, and when that one doesn't work out now you could be looking at months or years.

Staying put isn't risk-free either. Not by any stretch. But is comparatively less risky. It is the devil you know, hence the lower risk premium.
Thank you for trying it out today! Great suggestion about the favicon—I’ll make sure to add one soon to improve the browser tab recognition.
There is DM42 hardware[1] and the DB48X/C47 firmwares for it. I feel that they are very much pushing the boundary on what makes sense on a formfactor like that.

For something more powerful, you'd probably want something more in the "cyberdeck" direction, with some 3d printing and cheap ARM linux boards it's relatively easy to build portable distraction-free compute device.

I adore this Micro Journal device[2]. Although it's intended for writing, it's not too difficult to imagine it running some suitable calculator software. The keyboard could be easily adapted to HP Voyager (15c etc) style layout.

[1] https://www.swissmicros.com/product/model-dm42n

[2] https://liliputing.com/micro-journal-rev-2-revamp-is-a-compa...
As a Swede, I've never seen or heard about pillows on desks :D

We do however have a law that workplaces must have some kind of resting area. In my former workplace we had a room with sofas, which sometimes people were napping in.
But if both the mainframe and personal computer are from IBM, is that scenario really bad for them?

If there was serious competition for cards to do GPU training that might spell trouble for Nvidia. But so far we only went from needing an absurdly huge cluster of Nvidia cards to a huge cluster of Nvidia cards, with Nvidia having a near-monopoly on cards used in deep-learning training all the way down to networks that fit on single cards.
3D printed biodegradable fungal 'battery' uses sugar to give power
Adding some descriptions would definitely make the game easier to start with. For example the game starts with the orbs that can be clicked without danger, this could be shown or described.

Also the boxes are not dangerous, and the walls are unknown in strength.

It could help to add 0 to non-dangerous items, to make this more aligned to the rest of the numbers, or a ? for the walls.

I also struggled to understand that i survive with 0 health.

Lastly it doesnt make sense to me why the killed monsters "gold" must be gathered (clicked again). I strongly assumed i cannot have more then the slots filled with gold, only when i had to pick one up i did so and figured out i can have + gold.

Apart from the difficult part of understanding how it works, its a very nice game. But you took quite some time off the reviews i have to do for my students game design projects ;-) The ? do appear to gathered in some areas and prevented me from finding the bombs, but i was able to slay the dragon.

Also add a mute button...

edit: more detailed description
Fire department disbanded
I ran it 10 times with the extra information, and each time got a different result. I don't know if any of them were the specific joke you were after, I get the feeling it was just making them up on the spot. None of them are even funny
Why every time there is a new model all the other competitors are declared immediately dead?
NVDA has an exceptionally reasonable P/E ratio and is a great pick on fundamentals alone. The tariffs are not going to make other graphics cards + their software 2x better.
>What does this guy's day look like?

There are a number of people that work while you sleep.

When I worked midnight shifts, 7am was my 6pm, if that makes sense.
What happened to you is the exact reason why I keep all Linkedin contacts on my local excel spreadsheet. Sure, if Linkedin decides to get rid of me will feel bad at first, but I won't feel powerless.
I bet you're wrong - there are already massive diminishing returns in the best models from 2024 vs 2023. This idea that you can just through more compute and it scales with performance is fiction. You do get more performance with more compute, but it doesn't scale, and it's a waste of money, as shown with deepseek.

this conversation reminds me of people when the PS2 came out saying that by 2010 games would look literally better than real life, because they thought graphics quality would exponentially improve...
I am currently living in Tokyo and for the most part smoking is prohibited except for designated smoking areas. And while compared to Germany way less people seem to smoke and mostly follow the rules I see about one or two people during my commute every day who will vape or smoke either while walking or standing on the corner of a non-busy street. So not everyone cares but luckily most people do and I wish it was like this everywhere!
Roughly the same, as our collective goalposts have shifted, and are still shifting.

What was amazing output last year is today's slop.

NV is in no immediate danger; medium/long term, to anyone knowing what "75% gross margin" means it's no secret that there will be serious threats. You don't need DeepSeek for that particular realization.
> pay the rents of the old generation from a share of the working one.

That's what Norway does too, just less directly. The $1.75T that Norway has in their sovereign wealth fund is just a claim on future output. Germany's taxes are a claim on future output.

Or to look at it at a micro perspective. Suppose you have $10M saved for retirement, but need to hire a personal care nurse. But there aren't any and you get in a bidding war with someone who has saved $100M.
AMD stopped competing with Nvidia in pricing a decade ago.

Even when they had a better product (more than a decade ago), Nvidia was still outselling AMD, think of the Nvidia Fermi and Tesla, and at higher margin.

Since then they are just like "what's the point?" and AMD stopped bothering.
It would be ill advised to try smoking weed in public in Osaka.
Ask in the oficial website.
I'd argue that subject is one of his core competencies.
The metal in the charging point can cause some allergic reactions, nothing a small silicone cap doesn’t fix though
Yeah, the real point is that "AI uses a lot of energy: here's why you should be concerned" is just a post-hoc justification for someone who doesn't like AI and needs something to point to.
Isn't the issue that the software needs to explicitly add support for it now, compared to yester-yesterday when you could just treat them as one in software?
I’ve never seen someone high on cannabis be a danger to others, and cannabis smoke airs out pretty easily, as opposed to cigarette smoke that sticks to everything and doesn’t go away.

Not that cannabis smoke isn’t annoying, but it’s far less annoying than cigarette smoke ever was.
OpenAI launches ChatGPT Gov for U.S. government agencies
thoughts from 1992 (Gray+Reuter): https://news.ycombinator.com/item?id=42829878
> It'd be a tragedy if representatives were loyal to a president over the country.

Trump was impeached twice by the House but was not convicted by the GOP-controlled Senate twice.

* https://en.wikipedia.org/wiki/Impeachment_of_Donald_Trump

The second impeachment was for "incitement of insurrection".

Pardon my bluntness, but what planet are you living on?
The performance comes mostly from a fraction of memory bandwidth needed, as LLM are mostly memory constrained. Compute matters too, but usually far less than memory.
Even running locally, I don't see DeepSeek getting a contract like this.

The most interesting thing in this news is this:

> The Microsoft-backed company bills the new platform as a step beyond ChatGPT Enterprise as far as security. It allows government agencies, as customers, to feed “non-public, sensitive information” into OpenAI’s models while operating within their own secure hosting environments, OpenAI CPO Kevin Weil told reporters during a briefing Monday.

So they're going to have an entirely separate infra for this. I suppose it's similar to AWS runs GovCloud.
I agree vaping is a big public health improvement (not that I'm a particular fan of it) over smoking but they banned that too...

Nobody is gonna move over smoking. They're just gonna resent you. And that'll hamstring your next public health action or whatever because the political will just won't be there.
Consider my side of the bet eating crow with a side that, if you're right, then you'll have mastered arguably the single most important basic ending.

I'd strongly recommend checking out an endgame manual or a youtube video on the proper way(s) to draw it. It's going to take a lot longer than weeks if you just try to learn it through experience.

For further incentivization I can practically guarantee you will also gain rating points if you succeed here - it really requires substantial 'feel' for how rook and bishop can work together (as well as certain stalemate tricks and more), and that's applicable far outside just this ending - same how learning to mate with B+N really improves your feel for how those pieces can collaborate.

But I'm not sure you appreciate what you're getting into here. R v R+B makes B+N look like child's play.

Do let me know if you're seriously going to try this. I'd honestly just like to know how it goes, and can just hit you up in a couple of weeks in some rando thread. It'd be pretty awesome if you succeed!
Full-Bleed Layout with Modern CSS – Front End Masters Boost
as a heavy user of vim motions and macros I'm thinking this is one reason I've not found AI code generation terribly useful.

Yes, it's good at boilerplate. But I've spent a long time getting good at vim macros and I'm also very good at generating boilerplate with a tiny number of keystrokes, quickly and without leaving my editor

...

or I could type a paragraph to an LLM and copy paste and then edit the parts it gets wrong? also I have to pay per token to do that?

no..
Trying to put the potential negative consequences if this pause stays in place aside, it's going to be fascinating to see the immediate ramifications of this even if it's just bluster. I'd imagine there's going to be plenty of people/groups expecting committed funds to show in a bank account at the first of the month, and any confusion/issues/delay is going to have a wildly long tail of knock on effects.
Not sure why that's in jest. Perl is pretty much everywhere and could do the job just fine. There's lots of former (and current) Perl hackers still around.
Sounds like the police got their warrant by rather blatantly lying to the judge.

In a quality police department, that would be career-ending. "AI" or not.
> Not that one is better than the other per-se.

Smoking weed is CLEARLY, OVERWHELMINGLY better than smoking tobacco by being less addictive and MUCH less likely to cause various cancers.
I think the same when I see people chugging a fat black coffee the moment they wake up.
I wouldn’t be able to focus at all, constant jitters - how can these people all work effectively while being strung out on caffeine?

The answer is it’s all about tolerance and what drugs are social acceptable.
The guy who smokes all day just gets back to baseline with his first joint in the day, he’s not actually high as you would be if you did that - same as with the caffeine addicts.

I think in a free society everyone should be able to put in their body what they believe is good for them - it’s a bit more complicated in real life but still…
Exactly. Any rational person will predict Nvidia will own the space. But projected over a long period, a 10% decrease in growth is massive
You mean this part?

"Add it all up, and the average selling price of an Nvidia GPU accelerated system, no matter where it came from, was just under $180,000, the average server SXM-style, NVLink-capable GPU sold for just over $19,000 (assuming the GPUs represented around 85 percent of the cost of the machine)"

That implies they assumed an 8-GPU system. (8 × $19,000 = $152,000 ≈ 85% × $180,000)
What are you talking about?

I see two pages, just of submissions on HN, before early last year:

https://hn.algolia.com/?dateEnd=1706400000&dateRange=custom&...

I see over 900 results just for comments:

https://hn.algolia.com/?dateEnd=1706400000&dateRange=custom&...

I personally have brought it up when it's relevant, like when people think energy efficiency improvements always make total use go down:

https://news.ycombinator.com/item?id=14764845

https://news.ycombinator.com/item?id=19543772

And when a more efficient website showed more load on the server (because it widened usage to a broader audience):

https://news.ycombinator.com/item?id=13602792

How about the more charitable hypothesis: It's a relevant dynamic because this is a situation where the paradox most strongly applies: efficiency improvement in use of an input whose output has insatiable demand. And so people bring it up, even if they just recently learned it from another comment.

It's okay to say something true ... even if someone else already said it elsewhere.
Yes, and then you solve a dozen problems like this, bundle it up, and you've created a framework.
I recently got a PowerEdge R730XD with 24 drive bays, Two Xeon E5s (a mid range model, I can't recall now) and 256GB of RDRAM installed for less than a new, passively cooled N100.

I need to get disks, though. That was not part of the deal.

However I won't be installing that thing at home. I'm not that mad, yet.
> A quick search says about 60%-80% of CPU energy is waste heat.

That's an odd metric. Doesn't effectively all input energy leave the CPU as heat (ignoring reactive power and stuff like that)? Is there a theoretical minimum energy-per-unit-computation that makes up that 20%-40%?
Do you think that most managers spend 30 minutes reading over a resume and do everything else they have to do?

I can guarantee you that none of my managers spent more than 5 minutes looking over my resume and 4 of my six lady jobs have been strategic early hires, 1 was at BigTech where one person in my loop was my eventual manager and my current one was for one of I think 25 highest level IC positions at my current company of 600-700 people.
Deepseek isn’t a distilled model (and neither is llama405), both are pre trained foundation models.

Deepseek has distilled deepseek R1 into a couple of smaller open source models, but neither R1 or v3 are distilled themselves.
Ok, but I am really curious about this and maybe my mental model is wrong:

- llama.cpp or ollama can be seen as runtime systems,

- there is no security model regarding the execution documented in both of those projects,

- of course the models are just data but so are most things that have been used as an attack vector on computers. For example your web browser or image viewer have a lot of countermeasures to protect the system from malicious image files.

I am surprised that security of operating systems, programming languages, VMs or web browsers have been a focus point forever but nobody seems to really care about security when executing those LLMs.
I've been running a Xeon-D server/NAS for several years. Nice low power consumption. Was pretty cheap brand new integrated into a Supermicro server board.
If someone drinks coffee in public, nobody around them gets "passive coffee drinking", in order to be a public nuisance like smokers.
I have always been agnostic of closed platforms. But for whatever reason, LinkedIn never came to my mind as a platform to also hedge against. LinkedIn just never crossed my mind in that respect. But right now, it has happened, and its too late.
Was the US sanctions on chip selling to China worth it? Yesssss. It was. It still is. (But I frown on this action.)

China is good on dumb stupid manufacturing. It does this with so much enthusiasm HNers are left scratching their heads why the excitement. The possibility of China manufacturing the next computing powerhouse was too high. Higher than it could ever be in the US.

The threat to US leadership was that the fastest supercomputer for AI in the world could be in China (the first sputnik moment per Barack Obama). So the chip embargo was to prevent that from happening.

So China did not spend/waste $$ & time building hardware. They spent it on software. Normally the Chinese version is cheap enough and good enough. But this time it was cheap enough and surprisingly terrific enough. Props to Liang the founder for having that game face on.
Deepseek isn't AGI yet and really still has a long way to go.

Na, we have a long way to go with models, especially when you start adding different modes. We'll still need a metric shitload of compute for a long time.
> I’ve never seen someone high on cannabis be a danger to others

I think driving while high is dangerous and inexplicably very accepted in society.

But my comment wasn't "they're hurting someone by choosing to smoke weed". It's more I feel bad that they're inebriated for much of their day and for me that's kind of sad. I've known pot-heads before and they're not exactly living their best lives and are often dependent on a substance to make it through the day.
Wait what? Over here a 24gb RX 7900 XTX costs 900€ while the RTX 4090 starts at 2500€.
This is a great idea! The group reading and synced highlights/comments features are especially compelling for both families and teams. One potential addition could be the ability to export group discussions or highlights as PDFs—useful for teams sharing insights or educators creating summaries.

Kudos on building something so polished. Looking forward to seeing how Readers evolves!
The market is already losing patience on "profitable AI". Deepseek only improves cost with worse performance, while even chatgpt is still far from profitable.
The information is definitely out there:
https://www.texaspolicy.com/the-energy-cost-of-social-media/
If you want to watch some real sport on YT, check out bobsled and skeleton.

The IBSF tv team broadcast it themselves for free on youtube. ( e.g. https://youtu.be/Y2BXBTmSZGo?t=2195 )

A dozen hours of live sport every weekend over winter, no adverts, decent commentary. (You might recognise the main commentator from motor-racing coverage)

Since the same pictures feed is used on the German TV coverage, you often get a minute to take a timeout and look at some beautiful Alpine scenes in the middle too while they play adverts on TV.

It used to be on Eurosport UK too, but at some point they cut it loose, I guess there just wasn't the audience for it.
Would fine-tuning by using a LoRA paper over the censorship to a large degree?
My experience gels with yours. Given the same code sample, DeepSeek has better, more creative suggestions about how to improve it, but it can't implement them without breaking the code. o1, generally, can implement DeepSeek's suggestions successfully. I think chaining them together might have quite interesting results.
Leveraging Low Income Housing Tax Credits (Lihtc) for Housing Abundance
Do not think of a pink elephant. Were you able to do so?
It’s crazy for someone would have a Turin set up at home now as the TCO would cost more than a car, and also have to deal with power supply and cooling.
Hey oulipo,

QuickStack isn't a direct fork of Dokploy, though I can see why the UI might feel familiar - they both use the same UI component library, shadcn/ui.
The key difference lies in the underlying technology. While Dokploy (like Easypanel, Coolify, and CapRover) relies on Docker for container orchestration, QuickStack is built on k3s (a lightweight Kubernetes distribution) for orchestration, Longhorn for storage management, and Kaniko for container builds.

The key difference between Dokploy and QuickStack lies in the underlying technology. By using k3s instead of Docker for orchestration, QuickStack makes it easy to scale across multiple nodes. Additionally, with Longhorn, persistent volumes are replicated across multiple nodes instead of being tied to just one. This means that if you're running a database on VPS Node 2 and it goes offline, the database can seamlessly start on VPS Node 1 with all the data intact.

I hope this clears things up! :)