MurphyA/hacker-news huggingface dataset:
by JasonADrury | 2026-02-25 11:49:48+00:00
I suggest you look up the concept of CEP, circular error probable. It's a very important measure when discussing weapons like these.

Modern western rocket artillery will strike your target from tens of kilometers away within a circle of a couple of meters.

Your typical Grad will have CEP in excess of 1.5% of range. So at 10KM you'll have only half of your rockets land within 150 meters of your target.

These are weapons where your target selection amounts to "fuck someone in that general direction". Not "better shoot at that guy before he shoots at us". Fundamentally useless for fighting wars.

The Grads can be vaguely useful, but Hamas doesn't have the launch platforms to field them as an area denial weapon as originally intended.

EDIT: and you can probably stop reading right here, I'm mostly just repeating myself after this point.

> They've killed multiple people, including kids

I never thought I'd laugh at the idea of kids being killed, but in this context it comes across as pretty hilarious. This is not a good feature in a weapon of war! In war you typically want to kill enemy soldiers, not kids.

You can point a Gazan artillery rocket towards an urban center, maybe hit someone and kill a kid. It is not feasible to hit a target more specific than that using these weapons.

You can't fire one at a smallish enemy position.

>The reality is that Hamas also had dozens if not hundreds of R-160 / M-302 medium range rockets (up to 200km) and long range Ayyash 250 rocekts (travel more than 200km).

Hamas having dozens if not hundreds of M-302s is certainly a claim I'd love to see evidence for, but even if it were true this isn't very impressive at all. These are terribly inaccurate unguided artillery rockets! Western militaries don't really have much in terms of equivalents because they're practically useless.

>People like to pretend Hamas was a tiny force. The reality is what I said: it was larger than many European militaries, with an arsenal to match.

This is a straight up lie. Hamas had a plenty of manpower, but certainly has never had an arsenal to match. Artillery rockets you can realistically only use to indiscriminately strike civilian areas are absolutely useless when fighting a war.
by imtringued | 2026-02-25 11:50:26+00:00
Yeah this is one of the most perplexing things about this "dying of a trade" narrative.

Software development isn't just the act of producing a deliverable that is being gate kept by people who use their own body. Software development has become specialized enough that it is often highly domain specific. To replace the "trade" you need to automate the software part and the domain knowledge part. If you can do both, you've automated every single white collar job in existence.

Since it is possible to write software for machine learning, which is used to solve problems that classical algorithms failed to solve, the amount of problems that cannot be solved using software is shrinking rapidly. If you can write software for any domain, you can solve any domain by using said software.

General purpose software generation can be reduced to AGI completeness. In a way, it is the last job that can be automated.
by jamesbelchamber | 2026-02-25 11:50:28+00:00
It should be acknowledged that this was at least significantly about lobbying, and shouldn't be considered a cut-and-dry "failed experiment" (though clearly there are lessons that can be learned):

> [Munich Mayor] Reiter wanted Microsoft to move its Microsoft Germany corporate headquarters to to Munich. Microsoft moved and Reiter wants to deliver on his promise to make Munich a Windows-powered city.

https://www.zdnet.com/article/why-munich-should-stick-with-l...
Show HN: AegisBPF – Deterministic Runtime Enforcement via eBPF LSM
by erenari | 2026-02-25 11:50:54+00:00
I built AegisBPF to explore deterministic runtime enforcement using BPF-LSM instead of the traditional detect-and-alert model common in eBPF security tooling.

Most eBPF-based runtime security systems observe events (tracepoints/kprobes) and alert asynchronously. Aegis attaches to Linux Security Module (LSM) hooks such as:

file_open

inode_permission

bprm_check_security

socket_connect / socket_bind

This allows operations to be denied synchronously before the syscall completes.

Core ideas:

Inode-first file enforcement (stable across renames)

Dual-stack IPv4/IPv6 network deny rules enforced in-kernel

Explicit enforce vs audit posture contract

Capability-aware fail-closed mode

Structured state transitions (ENFORCE / AUDIT_FALLBACK / DEGRADED)

Performance (example baseline, 200k ops):

~2–3% p95 overhead on open

~0.5–1% overhead on connect

O(1) map lookups regardless of rule count

The project includes:

Signed policy bundles (Ed25519)

Capability/posture reporting

Kernel compatibility matrix CI

Documented threat model and TOCTOU analysis

I wrote two technical deep dives explaining the design rationale:

Part 1 – Synchronous Kernel-Level Denial via eBPF-LSM
https://medium.com/@erenari27/part-1-synchronous-kernel-leve...

Part 2 – Deterministic Enforcement Contracts & Posture Semantics
https://medium.com/@erenari27/part-2-deterministic-enforceme...

Happy to discuss hook selection tradeoffs, verifier constraints, seccomp vs LSM, Landlock comparisons, or enforcement failure modes.
by CTDOCodebases | 2026-02-25 11:51:23+00:00
There is also the Xteink4[0] that can be purchased on Aliexpress. It's just an ESP32 with an e-ink screen.

It costs more and is smaller but when you are done playing around with it you can flash it with Crosspoint[1], carry it in your pocket and read books on an e-ink display wherever you are.

[0] - https://www.youtube.com/watch?v=yMoq17-1pJA
[1] - https://github.com/crosspoint-reader/crosspoint-reader
by lyfeninja | 2026-02-25 11:51:31+00:00
You can file a provisional patent, which gives you the ability to discuss your innovation in public without compromising your full patent filing. It gives you a year to file a full patent for the invention, and it's much cheaper than a full patent, but does not necessarily protect your IP. That's what I did in the hopes I can get enough traction and capital to file a full one. Otherwise I would just consider the IP a trade secret and not disclose.
by maypeacepreva1l | 2026-02-25 11:51:37+00:00
Which part is sarcastic here? As far as Europe as market goes, Software industries have already started to feel the pinch. Right now data protection and privacy rights of common people in the US is at lowest point, as we have seen in the news, anything goes for this administration. One must be living in an alternate reality to not see these things happening.
by KineticLensman | 2026-02-25 11:52:02+00:00
See 'genetic programming' for techniques that are sort of based on this idea. Typical approach is to have a problem representation (gene analogues) that can be used to create a population of different individual solutions. Test them all against a fitness function and retain those that are 'best' according to some metric. Then create (breed) some new individuals who have some of the characteristics of the winners, perhaps mutated somewhat, insert these into the population. Repeat until you have solved the problem or have a good enough solution.

Challenges (apart from the time taken) are coming up with a good enough gene representation that captures the essence of the problem, building an efficient fitness function, and avoiding local maxima - i.e. a solution that is almost but not quite good enough, but from where you can't breed a better solution.,
by vjk800 | 2026-02-25 11:53:28+00:00
I used to be a university researcher in theoretical physics and, in that field, everyone uses it, but I suppose that would count as "very specific math research" Any kind of complex integrals, systems of equations, etc. and Mathematica is invaluable, and, as I said, so much ahead of Sympy.

You could do stuff other than theoretical physics research with Mathematica, though. I has a lot of functionality and I always felt that I used only a tiny fraction of it.
by gaigalas | 2026-02-25 11:53:35+00:00
You mean https://security.apple.com/blog/private-cloud-compute/?

The only thing it says is "custom Apple silicon", which honestly could mean a high-binned chip from the same production line.

You gotta admit that the M4 price is kind of a magic trick. Also, with zero carbon emissions.

Look at their environmental report:

https://images.apple.com/co/environment/pdf/products/desktop...

> To address emissions generated by using primary materials, we’re increasing the recycled content in our products, maximizing material and manufacturing efficiencies, and improving yields.

This wording is very specific. It's not "recycled materials", it's "recycled content" to address the emissions of using primary materials. I find it to be very sneaky.

I'm not saying they're refurbishing used servers, but there's definitely something going on here.

Look at their overall environment report from 2024 (not product specific):

https://www.apple.com/environment/pdf/Apple_Environmental_Pr...

There is a section about "Material recovery". Here is a quote:

> Even after a product reaches the end of its life, the materials within it can serve the next generation of products.

> Each time that we effectively recover materials from end-of-life products, we enable circular supply chains.

> Disassembly and recovery advancement: Continuing to develop better, more efficient means of disassembling products that maximize material recovery while minimizing waste.

It seems to me that what they're describing here, publicly, is almost exactly what I said. I just made an extra leap implying that the disassembled EOL'd products were servers that never got used and were turned into M4 Minis (which is speculation, but highly informed by these reports).

Why do this? Well, it means they can invest on servers and if they lose some race, they can pivot. It's a unique advantage. I would take advantage of that if I were Tim.
by maxglute | 2026-02-25 11:54:28+00:00
Bingo US produces about ~1/2 of PRC by VALUE ADD not gross output.

And it's not all high value goods. US produces magnitude(s) less than PRC in nearly all industrial sectors, i.e somewhere between single digit times less to 100s less. Some of it might not matter, like trinkets, some of it does, like 500x more shipbuilding by tonnage. Of the magnitude less that US produces, some legit high value like aviation, some are spreadsheet value, i.e. US car worth 3x than a comparable Chinese car. For shipbuilding, PRC produces like 50m DWT per year, aka MORE than US total WW2 shipbuilding, all 4 years, and generate about 150b revenue. US produces 0.3m tons (round up), and generate about 40b.

A ton of US ship, even navy isn't worth except 50x premium over a PRC ton except in spread sheets. That 50x premium is rent/capture, it's what prevents US from actually industrializing vs spreadsheet industrializing. TLDR except in a some high value sectors, US is getting absolutely mogged even per capita in gross output.
by hrpnk | 2026-02-25 11:54:30+00:00
Looks like the blog could use a HN=True. Hope the author won't get banned...

> Error: API rate limit exceeded for app ID 7cc6c241b6e6762bf384. If you reach out to GitHub Support for help, please include the request ID E9FC:7BEBA:6CDB3B4:6485458:699EE247 and timestamp 2026-02-25 11:51:35 UTC. For more on scraping GitHub and how it may affect your rights, please review our Terms of Service (https://docs.github.com/en/site-policy/github-terms/github-t...).
by TheAlgorist | 2026-02-25 11:54:49+00:00
Thanks for the tip. I see myself doing that for my own devices, but public libraries have strict restrictions on their systems, so local stuff is no go, I need a browser frontend.

I've concluded that top recommendations for a "lighter" project management software (with document support) would be something like Plane, AppFlowy, Huly, or Leantime. If neither of those satisfy me, I'll fall back to spreadsheet + Silverbullet.
by bryanrasmussen | 2026-02-25 11:54:58+00:00
I am not a very good person to say anything to these issues, but it will not be helpful for your spouse.

At 35 years of age you can learn and master new skill-sets, ones more AI proof. I basically learned to program at that age without any meaningful skills as I had spent my first 35 years of age working much less than it sounds like you have.

I think you are situationally depressed, which is something one can get out of with some bit of medication and help, so I think you should talk to someone.

If you have not worked hard in your life, but got a Masters degree, it sounds like you are intelligent. Intelligence can often get you through without working hard, but it's true at some point you need to sort of figure out what it is to be applied towards.

As an intelligent person who is somewhat lazy you probably like other people to provide some sort of impetus, this is also how it is for me in life, but now, without a job, and AI making it hard to get one you feel adrift and worthless. Aside from seeking help you might also consider trying to find some non-profit doing something you think is good and asking them if they need IT help in something you can find reasonable to do.

This will provide the ongoing cycle of tasks that you need to keep going, you would be doing something that might feel more relevant and useful than work you are used to, you would probably not be getting paid but if you are not getting paid now what does it matter and you might get something out of it anyway (potential job etc.)

Your situational depression sounds like you don't feel like it is worthwhile to keep going, because you have difficulty finding meaning in lots of things. This is also an example of relatively high intelligence, most things seem meaningless, it is necessary for you to use your mind to construct meaning.

But there are lots of professionals who can provide help on these issues. Also talk to your partner about it. They are your partner for a reason.
by gibsonsmog | 2026-02-25 11:55:49+00:00
>Though a variant of the last one may well have happened here, and the justification we read is just the one less damaging to everyone involved

Hegseth was planning on getting the model via the Defense Production Act or killing Anthropic via supply chain risk classification preventing any other company working with the Pentagon from working with Anthropic. So while it wasn't Siberia, it was about as close as the US can get without declaring Claude a terrorist. Which I'm sure is on the table regardless
by simianwords | 2026-02-25 11:56:02+00:00
>To analyze the decline in LLM prices over time, we focused on the most cost-effective LLMs above a certain performance threshold at each point in time. To identify these models, we iterated through models sorted by release date. In each iteration, we added a model to the set of cheapest models if it had a lower price than all previous models that scored at or above the threshold.

Can you look at the analysis? It will make it clear. I mean its so obvious because GPT 4 costs way more than GPT 5.2-mini but much worse performance.

>Even if the numbers are truthful, I have no idea how the calculate price there. Is it in terms of cost of compute they rent? Is this cost subsidized or not?

Do you think they are subsidising 900x or simply that the costs have gone down?

Overall you have shown what I feel is extreme skepticism in something that is obvious. You can literally run a model in your laptop that matches an older closed model. Costs are obviously going down, I have shown data. Use your own anecdotes and report.

Extreme skepticism in such a way doesn't do any help.
by cardanome | 2026-02-25 11:56:08+00:00
The industrial revolution resulted in children being worked to literal death. Of people toiling 16 hours ad day and living in cramped up spaces without any windows and barely any hygiene. It brought suffering on a scale never seen before.

Organized labor movements managed to fight back and improve conditions somewhat but will we be able to do it this time?

Humanity will not profit from generative AI, tech billionaires will. It is based on the theft of human labor of millions of programmer, artists and writers without any compensation. If left unchecked it will destroy the environment, any form of democracy, our mental health. It will cause mass unemployment at a grand scale.

Could it be in theory used for good? Maybe. As the current political situation stands it will cause massive suffering for the majority of people.
by isodev | 2026-02-25 11:57:08+00:00
I think it has more to do with ignorance. Device attestation is not trivial to adopt while both Apple and Google promise you a very simple abstraction. So it takes being informed and having leverage in the process to be able to make a difference.

For me the blame is squarely on the technical “experts” who are behind the architecture and implementation of such apps.
by Kuyawa | 2026-02-25 11:57:12+00:00
When I was a kid in the days of the discman, I came up with the idea of a cigarette-box-sized optical card reader that instead of spin the media it would scan the card and play the songs in it. I called it the "opticard" and thought that would be extremely cool to have some music cards in your pocket instead of carrying inconveniently sized CDs in your belt.

I wanted to write Sony about my idea but never got the balls. Years later they released the minidisc, still bulky, a total flop. The memory stick was a much better idea from them, I never knew why they didn't implement an iPod earlier than Apple
by orwin | 2026-02-25 11:57:13+00:00
That doesn't matter if the free models are as performant in 6 months. I will never personally pay for a model I can have for free. ChatGPT 5 used to be my preferred model as a DMing help tool, now deepseek and LeChat are the one I use, and are better at what OpenAI model use to be better at. And I think the models hit their limit for my usecase, I don't need better one. I never 'reprompt' anymore, and just roll/improvise with what I got.
by lgeek | 2026-02-25 11:57:28+00:00
I hate it when I can't get in touch with the right engineers at a large company. This (especially the highly targeted ad mentioned on the page) is a very creative way to try to solve that problem.

Not associated with Meta, but this piqued my interest. That being said, I found some parts confusing and hard to follow. For example what does URPF (Unicast Reverse Path Forwarding) in the title of this submission have to do with the contents?

And is the packet loss supposedly happening at specific times only? It's not mentioned anywhere, but one screenshot highlights the time. I couldn't reproduce the packet loss using any of the looking glasses and dest IP addresses in the screenshots. At this point, if this was a report I had received about one of my services, I would have probably bumped down the priority to low and asked for a reproducible test, because in my experience even issues that affect a single path in an ECMP group are not this hard to reproduce.

TBF, there does seem to be an issue somewhere, because sticking 129.134.80.234, one of the IP addresses from a screenshot, on ping.pe does definitely show significant packet loss from more locations than you'd expect to see for an address with no connectivity issues.
by ceejayoz | 2026-02-25 11:57:31+00:00
> you need to explain why Gaza was not attacked in the 20 years prior to Oct 7

Is this a joke?

https://en.wikipedia.org/wiki/Gaza_War_(2008%E2%80%932009)

https://en.wikipedia.org/wiki/March_2012_Gaza%E2%80%93Israel...

https://en.wikipedia.org/wiki/2012_Gaza_War

https://en.wikipedia.org/wiki/2014_Gaza_War

https://en.wikipedia.org/wiki/November_2018_Gaza%E2%80%93Isr...

https://en.wikipedia.org/wiki/May_2019_Gaza%E2%80%93Israel_c...

https://en.wikipedia.org/wiki/November_2019_Gaza%E2%80%93Isr...

(and another dozen or so in the list on Wikipedia)

> If you think that Israel always intended to occupy Gaza, you also need to explain why they withdrew from it in 2003.

I would note that the current PM of Israel resigned in protest when that happened.

https://www.nytimes.com/2005/08/07/international/middleeast/...
by Lerc | 2026-02-25 11:57:44+00:00
I think the concept has value, but I think targeting today's LLMs like this is short sighted.

It's making what is likely to be a permanent change to fix a temporary problem.

I think the thing that would have value in the long term is an option to be concise, accurate, and unambiguous.

This isn't something that should be considered to be only for LLMs. Sometimes humans want readability to understand something quickly adding context helps a great deal here, but sometimes accuracy and unambiguity are paramount (like when doing an audit) if dealing with a batch of similar things, the same repeated context adds nothing and limits how much you can see at once.

So there can be a benefit when a human can request output like this for them to read directly. On top of this is the broad range of of output processing tools that we have (some people still awk).

So yes, this is needed, but LLMs will probably not need this in a few years. The other uses will remain
by maypeacepreva1l | 2026-02-25 11:57:56+00:00
Exactly, people saying Trump will be out of office and everything will be back to normal are incredibly naive. If current trends stay, Trump is going to be one of the better ones for what is coming next. The politicians in US are saying worst xenophobic, racist, sexist things and are still getting praised or even promoted to higher positions. At least for a decade, unless something big or drastic happens, nothing is going to change for better in US, politics wise.
Show HN: Codified decades of domain expertise into open source agent skills
by urav | 2026-02-25 11:58:41+00:00
Hey HN! I'm Urav, the founder of Evos (https://getevos.ai)

Evos started out as doing some AI consulting, while deploying these systems, I kept hitting the same problem: AI agents are terrible at real operational work in core industries. Agents could code the entire system, but asking it to handle a freight exception, or claims deadline issue and it fell apart - it just didn't have the domain knowledge.

So I started translating and codifying what operations experts actually know - the decision frameworks, edge cases, escalation protocols - into agent skills for the Evos platform.

Last week, I noticed there are over 3000 skills on ClawHub, and nearly all of them are dev tool wrappers and API integrations. As far as I could tell, there aren't many skills that teach agents genuine domain expertise for traditional industries - and even fewer coming from verified expertise.

Today, I open sourced the Evos agent skills.

We've published 8 skills for use cases across logistics, manufacturing, retail and energy. Each of them follow the Agent Skills open standard, and work across all the major platforms.

Beyond the skills, I built in an eval suite - 20 to 25 scenarios from real operations, scored against weighted rubrics and also benchmarked agents with the skills vs agents without.

Repo: https://github.com/ai-evos/agent-skills

Would love your feedback from anyone whose been in these industries, or thoughts as a whole.

I'll be parked in the comments - thanks!