MurphyA/hacker-news huggingface dataset:
by tanmay001 | 2026-03-05 07:07:16+00:00
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by wtallis | 2026-03-05 07:07:18+00:00
> Also similar to GPU + CPU on the same die, yet here we are.

I think the overall trend is now moving somewhat away from having the CPU and GPU on one die. Intel's been splitting things up into several chiplets for most of their recent generations of processors, AMD's desktop processors have been putting the iGPU on a different die than the CPU cores for both of the generations that have an iGPU, their high-end mobile part does the same, even NVIDIA has done it that way.

Where we still see monolithic SoCs as a single die is mostly smaller, low-power parts used in devices that wouldn't have the power budget for a discrete GPU. But as this article shows, sometimes those mobile parts get packaged for a desktop socket to fill a hole in the product line without designing an entirely new piece of silicon.
by viccis | 2026-03-05 07:09:05+00:00
>we had to throw things over the fence to IT, DevOps, SRE and whatever name evolutions there were and the reality is AWS/GCE/Azure made things easier than dealing with these teams internally

Anyone who was a dev during the "everyone is devops" fad for a while knows the pain of building something with these kinds of dependencies. Being able to claw back my time from operations on my company's dime is enticing.
by MostlyStable | 2026-03-05 07:09:07+00:00
It's not a cost thing, I just don't like changing bulbs. I find it annoying, and with enough bulbs, when the lifetime is down to 4 years, you are doing one every few months on average.

But yes, I have thought about presence sensors. I'd really only need 3-4 to cover the primary areas where lights get turned on and not off (if I don't do it). I just haven't gotten around to it
by colbyn | 2026-03-05 07:09:30+00:00
I can’t get downvoted further but as a friendly FYI this page can’t be opened in iOS safari (too many redirects).

But I was thinking some time ago I disabled algorithmically prompted content even though it had its advantages for work related content… In some ways the transition was like quitting smoking. I kept going back to such platforms, getting a blank page, closing the page, then repeating some time later and so on.
by lelanthran | 2026-03-05 07:11:07+00:00
> However research on monkeys/apes has for the most part proven that their intelligence is at a dead end and never can progress past what is basically around human 2yo level.

How do you prove something like that with animals that can come up with a strategy, form battle plans, execute them, etc.

Even a 4 year old has less strategic vision than what is required to wage a prolonged war over years.
by croes | 2026-03-05 07:11:25+00:00
France is part of the EU power grid and flexibility comes from that not from nuclear power plants.
And the government had to rise the subsidies for nuclear energy to prevent higher rises of the energy prices. The costs for the consumers still raised.

And their power plants were in trouble in the last hot summer because the rivers were too hot to be used for cooling. Won‘t be the last time. And that will be a big problem when people turn on their AC in a heat wave but the power plants can’t power up because they don’t have enough cool water.

And that was before drone wars were a thing.

People react nervously when unknown drones fly around airports and power plants.

And didn’t we learn from the internet that centralization is a bad thing? Nuclear power plants are exactly that.

Imagine a grid where every consumer is also a producer who can satisfy their energy needs at least partially for themselves even without the grid. Try to blackout that.
by ua709 | 2026-03-05 07:11:31+00:00
This was heavily debated in the 11.4 timeframe because there was risk that this version of the OS could excessively wear NVME.

https://appleinsider.com/articles/21/06/04/apple-resolves-m1...

The issue was subsequently resolved but the consensus was with modern wear leveling this isn't so much a thing.

I have a 2021 MacBook Pro with the original drive. I use it heavily for development practically every day and just dumped the SMART data.

Model Number: APPLE SSD AP1024R

=== START OF SMART DATA SECTION ===

SMART overall-health self-assessment test result: PASSED

Available Spare: 100%

Available Spare Threshold: 99%

As always, YMMV
by wtallis | 2026-03-05 07:11:44+00:00
None of what I listed was in any way specific to "content creators". They're not the only ones who participate in video calls or take photos.

And on the platforms that have a NPU with a usable programming model and good vendor support, the NPU absolutely does get used for those tasks. More fragmented platforms like Windows PCs are least likely to make good use of their NPUs, but it's still common to see laptop OEMs shipping the right software components to get some of those tasks running on the NPU. (And Microsoft does still seem to want to promote that; their AI PC branding efforts aren't pure marketing BS.)
by throwa356262 | 2026-03-05 07:12:12+00:00
Are people really happy with zed or is this the vocal minority we see on HN?

I have tried zed multiple times and always uninstalled it after a few days because of the ugly font rendering, slow response time (!), high memory usage (!!) and being very buggy in general. And don't even get me started on their AI-first shenanigans.

This is on Linux, maybe it works better on other platforms.
by kxyvr | 2026-03-05 07:12:55+00:00
It's a combination of factors. Rural hospitals and clinics tend to be under-resourced with lack of equipment in buildings that aren't particularly nice. As far as small town, if you like it, great. However, people who are highly educated tend to like to be around others who are similarly educated and that's difficult to find in a rural town unless it's also a university town. There tends to be a lack of school options for their children and given how much they spent on their own education, they tend to prioritize this highly. There tends to be a lack of town infrastructure like good grocery stores, or theater, or museums, or other amenities. Docs also have their own medical needs and understand that those can't be met at small clinics, so they like to have access to good hospitals. Imagine intimately knowing all the ways something like childbirth can kill you and also knowing that there's not an appropriately trained surgeon in town. By the time one finishes their training, they're probably in their 30s and may want to find a partner. Options tend to be limited in small towns. On the darker side of things, foreign people are often not particularly welcomed in rural towns and this can be a particularly bitter experience for the foreign docs that are essentially forced to work there.

So, no, it's not just an urbanite out of their comfort zone. There's a whole host of issues. And, to be clear, we need people to work these jobs, but it's not particularly pleasant for a lot of them.
by 0x3f | 2026-03-05 07:13:02+00:00
> It's terms of US law categories, it's less than graffiti on a fence

The 'level' of the crime is only one aspect determining the treatment.

Some crimes are inherently more prone to absconders, immigration infractions being one of them.

Now, you could just say "oh well, that means we should just not try so hard to get perfect enforcement". Which is fine. But that's obviously not the view of everyone.

I'm not even sure that's the view of everyone when it comes to grafitti. Plenty of people would like to be zero tolerance on that too, it just doesn't have the political momentum right now that immigration issues do. And immgrants as a class are vulnerable in a way that random natives spraying fences aren't.

Also, I'm not sure this really addresses the question(s) of the thread which were more along the lines of "when compared to other countries, does the US: (a) have a higher false positive rate; and/or (b) a harsher regime of treatment".

On that, I'm still not convinced the answer is yes. The UK, for example, has been up to almost exactly the same things. Many European and Asian countries are much worse.
by netcoyote | 2026-03-05 07:13:15+00:00
It is huge, but real (see https://news.ycombinator.com/item?id=47258500)

Browsers, videogames, and Microsoft Excel push computers really hard compared to regular applications, so I expect they're more likely to cause these types of errors.

The original Diablo 2 game servers for battle.net, which were Compaq 1U servers, failed at astonishing rates due to their extremely high utilization and consequent heat-generation. Compaq had never seen anything like it; most of their customers were, I guess, banking apps doing 3 TPS.
by GuestFAUniverse | 2026-03-05 07:13:55+00:00
What advantages has a humanoid robot compared to automation for the tasks in a factory?

I mean: yeah, it's easier to think for a human how to operate a human.
Is this the Pareto optimum? No low hanging fruits left?

Does anyone here with years of experience in robotics have a better explanation?
(I hope so, because all the domain experts I met, always could tackle questions that pop into the mind of a layman without even breaking a sweat. Experts being experts, obviously)
by kshri24 | 2026-03-05 07:13:59+00:00
I agree with your assessment. Which is why I was proposing a middle-ground where an agreement is setup between the model training company and the collective of developers/artists et all and come up with a license agreement where they are rewarded for their original work for perpetuity. A tiny % of the profits can be shared, which would be a form of UBI. This is fair not only because companies are using AI generated output but developers themselves are also paying and using AI generated output that is trained on other developer's input. I would feel good (in my conscience) that I am not "stealing" someone else's effort and they are being paid for it.
by chrismorgan | 2026-03-05 07:14:13+00:00
Where I live, all five providers I’ve examined advertise their home broadband plans as unlimited, but four have a limit (mostly called a “fair use policy”) between 3.3 and 3.5 TB, after which they’ll be shaped to 1 Mbps. Suspiciously colludy. (The fifth: “These are unlimited plans for home use only. You can consume unlimited data at high speed. However, [we] may discontinue the data services in case of misuse, fraudulent, unauthorised or commercial use.”)

At 50 Mbps, you can theoretically exhaust this in just over six days. At 1 Gbps, it takes less than eight hours.

Once shaped—a month of 1 Mbps is less than 335 GB.

So in practice all these unlimiteds boil down to less than 4TB/month.
by way007 | 2026-03-05 07:14:19+00:00
Thanks! Really appreciate the kind words on the local-first approach.

On the multi-agent front, we actually already have run naming, per-agent filtering, and session resume/fork, so identifying and picking up sessions is pretty well covered today. Search currently works across prompts and run metadata, but we're planning to extend it to full conversation content (tool calls, responses, etc.) in a future release. That's the missing piece for the "what happened where" problem you described.

Great feedback, it's exactly where we're headed.
by ramon156 | 2026-03-05 07:15:36+00:00
I'm very happy with zed if I have to compare it to any intellij product

If you're using Windows (+ WSL) then yes, there's a hunch of memory issues currently. Apart from Windows I've never issues though, especially seeing as how intellij indexing takes >1 min and hogs my memory during that period.

The only reason I'm not switching is because Zed's vim bindings are aaalmost perfect. I did not like Vim Mode in VSC or intellij IDE's since it's another keymap I have to learn next to my nvim setup
by ExoticPearTree | 2026-03-05 07:16:14+00:00
I do not see Iran winning this. The current government is also hated by the people who would very much like to see all of them dead.

Al Jazeera has some very good insights into this, and the gist of it is: the Iranian regime is in a fight for its life with nothing to lose. If they are degraded enough, a revolution will start in Iran and they will be killed by the people. Or by US/IL bombs - whichever comes first. There is no way they get out of this alive. They are trying to prolong the inevitable.
by jabl | 2026-03-05 07:17:07+00:00
There have been some sodium cooled designs that have used a closed cycle gas turbine using nitrogen as the working fluid for the secondary circuit, in order to avoid any issues with sodium-water reactions with a traditional steam Rankine secondary circuit.

There are also fast reactor designs using lead as the coolant rather than sodium. These are interesting, but less mature than sodium cooling. Sodium is better from a cooling and pumping perspective though.
by c3d | 2026-03-05 07:17:46+00:00
No, I am not ignoring the GPLv3. This is not a license, but a legal notice that residents of these states, by applying the GPL and freely running software that may violate local laws, are the ones that may have to deal with the consequences.

I clarified in a recently updated version of the text, and I refer the readers to this discussion. https://github.com/c3d/db48x/blob/dev/LEGAL-NOTICE.md
by ArmaloAI | 2026-03-05 07:18:47+00:00
Pact drift is the hardest long-term problem in this space — you're right to call it out.

Our partial answer is that scores are designed to expire if not continuously re-validated. Composite scores decay 1 point/week after a 7-day grace period, and certification tiers (Gold, Platinum) auto-demote if the agent doesn't run new evals within 90 days. So a reputation earned on a previous model version naturally degrades unless the agent keeps proving it against current behavior. It's a living signal, not a badge.

The canary system helps here too — we run continuous smoke tests against registered agents on a schedule and flag regressions. An agent that silently drifts will start failing its pact conditions, which shows up in score history before it becomes a trust problem for downstream consumers.

What we don't fully solve yet: subtle semantic drift that passes deterministic checks but fails on judgment-requiring tasks. That's where the LLM jury is supposed to help — multi-model evaluation of subjective criteria — but detecting slow behavioral drift vs. legitimate improvement is genuinely hard. Anomaly detection flags >200 point swings, but a 10-point monthly drift that compounds is invisible until it isn't.

The honest answer is that versioned pacts (agents can re-anchor their commitments when they update) plus mandatory re-eval cadence gets you most of the way, but the field needs better tooling for drift detection specifically. It's something we're actively working on in PactLabs.
by c3d | 2026-03-05 07:18:51+00:00
I'm not sure how you draw the conclusion that there is no covered app store. Are you sure https://github.com/c3d/db48x/tree/dev/library is not covered, for example? More importantly, are you willing to indemnify me if some lawyer decides to argue that this projects falls under the law and that I should pay $7500 per child using it?
by lifty | 2026-03-05 07:18:55+00:00
Prolly trees can act as CRDTs if you have a merge function that always merges and doesn’t block.

So my initial comment merely tried to make the point that there is a design space where you’re not stuck with the tradeoff of carrying the full Merkle DAG history just to be able to reconstruct the latest version of your document.

Thanks for the video, will check it out!
by Twirrim | 2026-03-05 07:19:36+00:00
The disdain on my part was very much towards the egotistical tech bros who were convinced they could do better in fields they had no background in.

It used to get really tiring seeing the rhetoric about every single field of expertise. So many tech bros that were simultaneously experts in law, geopolitics, elevators, building codes, architecture, sports, transportation, finance, global logistics, and beyond. Literally from one second to the next. Any time anything wasn't 100% perfect, it was because the people working in the field were idiots and they could have done it so much better.
by bayindirh | 2026-03-05 07:19:46+00:00
Haha, no.

I write my tools for humans, without help or use of AI. If the AI agent wants to use my tool so bad, they need to rise to that level. I'll not crouch on my knees to meet it.

If I ever write a tool for AI interaction, I'd give it a well-defined API, to make it even easier for the agent.
by lelanthran | 2026-03-05 07:20:07+00:00
> 5 billion doesn't look like much when OpenAI just raised $110b though.

Just about all of the AI providers "raises" are a fraction of the reported "raise", like this one.

They didn't "raise" $100b. They got commitments for $35b, with said commitments being dependent on meeting certain criteria.

Every "raise of $FOO" I've seen in the past year or two has not resulted in them getting their hands on $FOO in cash to spend.
by patates | 2026-03-05 07:20:16+00:00
A lot of people who are not web devs use it, that's what I see. I even saw some mainframe developers use npx to call some tool on some data dump.

Also, this is a web project anyway. Google Workspace is web based, so while there is a good chance that the users aren't web developers, it's a better chance that they have npm than anything else.

In the case that they don't, releases can be downloaded directly too: https://github.com/googleworkspace/cli/releases
by zmgsabst | 2026-03-05 07:20:40+00:00
“I wouldn’t pick up $20 if there was $100 on the ground!”

Most people would pick up both.

These economic proclamations don’t seem to make sense, when applied to different contexts — which suggests what you’re saying might be folk wisdom rather than sound theory (and greatly over simplifying the problem).

You’re also discounting ecosystem effects — gaming GPUs driving demand for datacenter and workstation GPUs as hobbyist experimentation turns into industrial usage. We don’t know what would happen if nVidia stopped suppressing the GPU market, because it’s never been tried — nVidia has always viciously undercut their own grassroots.
by ostacke | 2026-03-05 07:20:45+00:00
It's definitively not the source of the word, but it might very well be the reason the decided to have a "fest i val". Gothenburg is famous for their puns, and even today they open up the mouth of the whale for visitors on two occasions - valdagen (election day) and Valborgsmässoafton (Walpurgis eve).
by ZeroGravitas | 2026-03-05 07:21:28+00:00
Some of this seems a bit overhyped.

I like CLI tools with json output that can be piped through jq. I've seen llms do that with existing tools.

The human needs and llm needs seem to overlap, especially if the human is using scripts and piping between tools.

The number of times it implies you didn't need to validate "human" input until llms arrived is scary too.

I'm also surprised to hear them say llms shouldn't Google, as that seems an area that Google themselves could optimize their search service for their llms and get an advantage.

Finally, I wonder if just using older, smaller llms is a valid fuzzing approach for clis (or anything else llms might be controlling). Or do you need a high powered llm trained to generate adversarial input?
by Moldoteck | 2026-03-05 07:22:55+00:00
it takes about 5y for latest units. And their env/worker policies are not that questionable in this regard. Heck, Japan did finish it's first ABWR FOAK in under 4y so China is in fact slow here.
The question is rather why China bans inland expansion

China and Russia are about on par in build times now. Korea is next with APR, Barakah having about 8y/unit, W-house and EDF are the slowest for many reasons
by instahotstar | 2026-03-05 07:22:58+00:00
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by nickysielicki | 2026-03-05 07:23:26+00:00
> researchers are more valuable than any military spend or any datacenter. It does not matter how many hundreds of billions you have - if the 500-1000 top researchers don't want to work for you, you're fucked; and if they do, you will win because these are the people that come up with the step-change improvements in capability.

This is a massive cope imo. The reason that the AI industry is so incestuous is just because there are only a handful of frontier labs with the compute/capital to run large training clusters.

Most of the improvements that we’ve seen in the past 3 years are due to significantly better hardware and software, just boring and straightforward engineering work, not brilliant model architecture improvements. We are running transformers from 2017. The brilliant researchers at the frontier labs have not produced a successor architecture in nearly a decade of trying. That’s not what winning on research looks like.

Have there been some step-change improvements? Sure. But by far the biggest improvement can be attributed to training bigger models on more badass hardware, and hardware availability to serve it cheaply. To act like the DoD isn’t going to be able to stand up pytorch or vllm and get a decent result is hilarious: the reason you use slurm and MPI and openshmem is because national labs and DoD were using it first. NCCL is just gpu accelerated scope-reduced MPI. nvshmem is just gpu accelerated scope-reduced openshmem.

If anything, DoD doesn’t have the inference throughput requirements that the unicorns have and might just be able to immediately outperform them by training a massive dense model without optimizing for time to first token or throughput. They don’t have to worry about if the $/1M tokens makes it economically feasible to serve, which is a primary consideration of the unicorns today when they’re choosing their parameter counts. They can just rate limit the endpoint and share it, with a 2 hour queue time.

The government invented HPC, it’s their world and you’re just playing in it.

> Generally, the defense crowd have a somewhat inflated sense of self worth.

/eyeroll but nobody can do what you do!
by GuestFAUniverse | 2026-03-05 07:23:56+00:00
And "lazy".

Claude makes me mad:
even when I ask for small code snippets to be improved, it increasingly starts to comment "what I could improve" in the code I stead of generating the embarrassingly easy code with the improvement itself.

If I point it to that by something like "include that yourself", it does a decent job.

That's so _L_azy.
by progval | 2026-03-05 07:25:08+00:00
> There are research models out there which are trained on only permissively licensed data

Models whose authors tried to train only on permissively licensed data.

For example https://huggingface.co/bigcode/starcoder2-15b tried to be a permissively licensed dataset, but it filtered only on repository-level license, not file-level. So when searching for "under the terms of the GNU General Public License" on https://huggingface.co/spaces/bigcode/search-v2 back when it was working, you would find it was trained on many files with a GPL header.
by dahcryn | 2026-03-05 07:25:18+00:00
Benefit of mcp is that it exists and kinda works, and a lot of tools are available on it. I guess it's all about adoption. But inherently yeah it's a discovery service thingy. Google will never embrace mcp since it's invented by anthropic

I consider it a good first attempt, but indeed hope for a sort of mcp2.0