MurphyA/hacker-news huggingface dataset:
by benchly | 2025-08-06 09:21:44+00:00
> If Ozempic is so great, how come our bodies don't just...

While I agree with your sentiment, your argument here assumes the human body always makes intelligent decisions for itself. My obstructive sleep apnea would like a word. After it's done choking me awake, of course.

The body is a marvelous machine, but it is far from a perfect or intelligent design. We are lucky to have what we have, but expect operating mistakes.
by arghwhat | 2025-08-06 09:23:05+00:00
Assuming decent cells with low ESR (say, <30mOhm), one such cell will deliver hundreds of amps when shorted, making things a little bit more lively than your estimation. :)

(A few hundred amps isn't a lot for a shorted battery, but these are tiny cells so that's what you'll get.)

Two cells was probably selected for one of: Voltage to avoid boost converters, capacity to avoid having to do extensive power optimization to make it run the whole event, balance to make it hang even off your neck.
by laiwuchiyuan | 2025-08-06 09:23:32+00:00
“Qwen‑Image: Open‑source 20 B MMDiT model with stunning text rendering and image editing. Effortlessly create bilingual posters, infographics, slides, infill edits, comics.”

Go experience AI: https://www.qwenimagen.com/

Why it works: Highlights open‑source nature and 20 billion‑parameter strength Emphasizes its superior multilingual, layout‑aware text rendering Mentions real‑world use cases: posters, slides, graphics, image editing, comics/info visuals
by CMay | 2025-08-06 09:23:35+00:00
The 20b solved the wolf, goat, cabbage river crossing puzzle set to high reasoning for me without needing to use a system prompt that encourages critical thinking. It managed it using multiple different recommended settings, from temperatures of 0.6 up to 1.0, etc.

Other models have generally failed that without a system prompt that encourages rigorous thinking. Each of the reasoning settings may very well have thinking guidance baked in there that do something similar, though.

I'm not sure it says that much that it can solve this, since it's public and can be in training data. It does say something if it can't solve it, though. So, for what it's worth, it solves it reliably for me.

Think this is the smallest model I've seen solve it.
by esseph | 2025-08-06 09:24:11+00:00
Read the Ukranian part I quoted.

Argue about the definition of swarm (the distance between units and level of coordination) all you want, but ultimately it's irrelevant given the addition information.

Massive coordination is going into attacks across hundreds or thousands of Km. Multiple layers of drones, electronic warfare, recon, airspace deconfliction, etc. Highly orchestrated. Large numbers that are overwhelming systems designed to defeat them, like a swarm of locust.

Note: These aren't the Warthunder forums.
by chrisco255 | 2025-08-06 09:24:25+00:00
China emits 3x more than the United States and growing. It emmitted 1M more kilotons of CO2 in 2023 than in 2022. You are falling for some crazy propaganda. The U.S. emits less today than it did in 1990 despite the population being significantly larger.

https://en.m.wikipedia.org/wiki/List_of_countries_by_greenho...

China doesn't care about climate change. As you mentioned, they don't have oil, so they're simply exploiting the resources they do have to generate energy in all forms: solar AND coal AND nuclear AND whatever else they can get. This is rational from a purely economic standpoint, not from a standpoint of believing that climate change is an existential crisis.

https://ember-energy.org/countries-and-regions/china/

I don't need to visit China to understand the data. They rank 168th in air quality, absolutely rock bottom tier:

https://epi.yale.edu/measure/2024/AIR
by highfrequency | 2025-08-06 09:24:29+00:00
"No free lunch" is not good intuition for many biological processes. There has been near zero evolutionary pressure toward improvements that primarily manifest after age 60.

Separately, evolution took place in a very energy and calorie constrained environment which is very dissimilar to today's world. Many people do not feel spontaneous desire to fast or run laps even though these are clearly beneficial.
by fuzzfactor | 2025-08-06 09:24:45+00:00
>an economic system that lets people sleep on the streets, and maybe more importantly: will commit full scale ecocide on the natural world because maybe you'll start a small business someday?

Not my downvote, but . . .

More like so there will be massive corporations to work for instead of the appropriate number of small businesses and farms that could substitute. For instance if things wouldn't have pivoted long ago, including major milestones like the formation of the Federal Reserve system.

Nothing like how it could have been if things would have been allowed to continue as they were progressing, the working citizens would have continued to gain wealth at a faster rate than the government, even more so than many established Wall Street capitalists. Especially the ones who have no talent for creating wealth and instead resort to just moving money around, and they were as powerful as any.

All pressure has been put on to reverse independent prosperity, whatever it takes, whenever the threat to centralized control appears on the horizon.

Those who prefer to centralize their power over you are not the ones wanting you to have an opportunity to start a small business someday. They just haven't completely eliminated that possibility. Yet.
by squidbeak | 2025-08-06 09:24:48+00:00
This is correct. The idea is that money spent by the wealthy enjoying themselves or making themselves wealthier through investments eventually reaches the poorest - in some form.

Quite why we've persuaded ourselves we need to do this through a remote & deaf middleman is anyone's guess, when governments we elect could just direct money through policies we can all argue about and nudge in our own small ways.
by nabla9 | 2025-08-06 09:26:15+00:00
The article is based on stereotypes, not research. It confuses people and organizational cultures.

Research on organizational cultures confirms some stereotypes about China, like high power distance between people, low individualism, and high self-restraint.

What it misses are some very positive straits;

- very high task-orientation (versus person-orientation)

- very high tolerance to uncertainty (much higher than US or never mind Germany)

- very long term oriented (equal to Germany, much higher than the US)

ps. China and India are about the same in individualism and most other issues. China is slightly better at uncertainty tolerance and much better in long term orientation.
by sunshine-o | 2025-08-06 09:26:28+00:00
I believe you need to separate two things:

- The author enjoyed writing quality open source code

- The author needs to make strategic decisions for his own career and livelihood and he doesn't have enough bandwidth for both

I don't feel he is happy about the decision he needs to make and he is pointing to something dark happening to software development and open source.

Now this is not new, and didn't start with LLM. I am sure if we ask the OpenBSD devs what they think about the modern mainstream open source ecosystem, docker, full stack development, etc. they see it like we might look at LLM generated code. This is just a question how much of a purist you are.
by kergonath | 2025-08-06 09:26:40+00:00
> This anecdote is not just as problematic as most anecdotes, I think it is more so.

This not an anecdote. Most European countries I know have mandatory school starting from 5 or 6, with the possibility of attending pre-primary school (with names that vary across countries) from 2 or 3, which most people tend to do for the reasons I mentioned. This worked for hundreds of millions of children, not just me.

> The point of public education is allegedly not that "kids turn out fine" (whatever that means), but that they receive a minimum education.

The point was that going to school before 5 was horrible. It’s not. A lot of kids do it and it works.

> If you got 4 years more than me, was there 4 years' more worth of advantage bestowed upon you?

You should take that chip off your shoulder. You are reading too much from what I wrote. I did not make a claim of superiority.

> If you merely approximated my level of education, then it would seem the government wasted 4 years worth of resources on you.

If you go down that path any public education is a waste of resources. The state (not the government) invested in my personal development and the ability of both my parents to remain in the workforce, if you really must think in monetary terms.

> And that's not even counting the potential for psychological damage

Right, prove it then. As I mentioned, this is the norm in many European countries, in which children do not seem to have much more psychological issues than in the US, for example.

> It wasn't the norm until quite recently. Even in the 1980s, it was not the norm. That you think it is a norm shows just how much such a policy can distort an entire population's perceptions.

You are way off. The law establishing public school for 3 years old children was voted in 1881 here. It became the norm when women had to enter the workforce and population concentration in cities weakened family links. This was way before 1980.

> Such you are told. You assume it must be true. And yet, student performance at all age levels continues to decline, even as they're sent to school younger every decade.

Amazing. It’s as if there were many factors at play.

> The numbers don't support your claim.

Which numbers do not?
by AshleysBrain | 2025-08-06 09:26:46+00:00
It's easy to say "XYZ is dead, time to replace it with something better". Another example is the Win32 APIs are hideous (look up everything SetWindowPos does) and need replacing.

In the real world though, backwards compatibility reigns supreme. Even if you do go and make a better thing, nobody will use it until it can do the vast majority of what the old thing did. Even then, switching is costly, so a huge chunk of people just won't. Now you have two systems to maintain and arguably an even bigger mess. See Win32 vs. WinRT vs. Windows App SDK or however many else there are now.

So if you're serious about improving big mature platforms, you need a very good plan for how you will handle the transition. Perhaps a new API with a compatibility layer on top is a good approach, but the compatibility layer has to have exactly 100% fidelity, and you can never get rid of it. At the scale of these platforms, that is extremely hard. Even at the end of the day, with a huge compatibility layer like that, have you really made a better and less bloated system? This is why we tend to just muddle along - as much as we all like to dream, it's probably actually the best approach.
by burnt-resistor | 2025-08-06 09:27:37+00:00
Section 9. Powers Denied to Congress

Section 10. Powers Denied to the States

[pdf with annotations and interpretation prepared by Library of Congress, 1992] https://www.govinfo.gov/content/pkg/GPO-CONAN-1992/pdf/GPO-C...

It changed sometime between July 25 and August 6.

https://web.archive.org/web/20250725172744/https://constitut...
by energy123 | 2025-08-06 09:28:27+00:00
Unlikely. Israel, a nuclear power by 1973, was attacked by multiple countries, and did not launch nukes. Russia, another nuclear power, is receiving attacks from Ukraine on a daily basis, and is not launching nukes.

As much as nuclear powers want you to think they will use them if you resist their goals, nukes only come into play when state survival is at risk, not when belligerents pursue limited goals. The US will never pursue the defeat of China. They will manage escalation. They will pursue the limited goals of status quo maintenance and a quick resolution, which can include bombing industrial production nodes to signal that China will lose a war of attrition, forcing it to call off an attack on Taiwan.
by disgruntledphd2 | 2025-08-06 09:29:01+00:00
> how many other serious EV companies were there in 2006? Basically none

Yeah, thats my point. I'm reasonably confident that without Musk, the answer would still be none (or at least the transformation would have been way slower).

I'm not a fan of Musk, but this notion that he's never done anything worthwhile is also clearly wrong.
by looseyesterday | 2025-08-06 09:29:22+00:00
In some cases teachers are being overworked and expected to deliver far beyond their capability. The issue I see here is that its Powerpoint / document generation AI tools often use older / cheaper / worse models e.g. 4o mini, instead of Claude opus or Gemini 2.5 pro. The second issue it is often hard for the original prompter to see issues in AI output, so another pair of eyes or a different LLM prompt with more context can often pick up most issues. I dont think AI use for teachers is going anywhere, we should work with the flow on this one and help teachers do their jobs more easily.
by eru | 2025-08-06 09:29:42+00:00
> Skinnier countries aren't skinnier because the people there have more willpower, it seems, but because they live in a skinnier country and are surrounded by the culture, laws, physical layouts of the created world, et c., that come with that.

Do we have data on that?

I guess you could look at natural experiments, like people who lost and won H1B lotteries, and see if only the ones actually making it to the US get fat?
by goku12 | 2025-08-06 09:31:07+00:00
I'm all for Forgejo or even a simple forge without any namespaces (I abandoned GitHub when MS acquired them). But the major issue with these alternative platforms is the the discoverability of projects on them. Github doesn't have any noteworthy feature in this regard, but it has the first mover advantage. The users unfortunately ceded that advantage to them.

Many forges are working on a federated development infrastructure. That's great. But I believe that for these platforms to really become popular, we must solve the problem of federated project search and discovery as well. Unfortunately, nobody seems to be paying much attention in this area.
Show HN: LLM Opinion – discover what sources an LLM relies on
by piaxar | 2025-08-06 09:31:21+00:00
Hi HN,

I built a simple tool that shows what an LLM (OpenAI model) thinks about any product — both based on its internal knowledge and web search. It also shows which sources the model relied on. You can download the analysis as a JSON file or share it via link.

I’m using:

- openai/gpt-4.1-mini for queries that require search

- openai/gpt-4.1-nano for those that don’t

Since the product is completely free, I’m sticking with the cheaper models. I do have a cost cap :)

Tech-wise, it’s a Python backend with FastAPI and some Node.js. I’m tracking analytics with PostHog: mainly unique users and search queries.

Next steps I’m considering:

- Open-sourcing it and letting users provide their own OpenAI API keys

- Adding smarter models, deeper analysis, and customizable categories behind a paywall

Would be great to hear where you see this being useful.
by chrisco255 | 2025-08-06 09:32:30+00:00
There are many, but the most important one is Mauna Loa. CO2 is well mixed in the atmosphere. It has to be or plant life would suffocate and die (remember CO2 is their O2). Just like Oxygen is well mixed and evenly distributed around the planet. A ground measurement that is sufficiently isolated from forests or cities that could have localized effects is ideal. Muana is considered ideal because it sits out in the Pacific ocean on a remote island of Hawaii.

https://www.co2.earth/22-co2-now/121-mauna-loa-co2

For list of stations besides Mauna Loa: https://gml.noaa.gov/dv/site/
by freefrog334433 | 2025-08-06 09:33:08+00:00
https://simplicius76.substack.com/ is in the top 10 subscribed substacks. He posts videos supporting points he makes, and you can find drones attacks. His analysis and predictions are more accurate than pro-Ukrainian pundits, and draws on information from within Ukraine (speeches at the Rada, Ukrainian commander interviews, posts) and Russia.
by kome | 2025-08-06 09:33:38+00:00
you're right about MIT vs GPL confusion. people brainwashed themselves into thinking MIT is "more open", because it's more permissive, but it lets others profit off your code without contributing back.

GPL makes them share or pay to relicense, since you own the copyright. with MIT, they don’t need to ask. MIT just benefits big corps. GPL better protects the open-source spirit, and paradoxically, the ownership of your work.
by SilentTiger | 2025-08-06 09:33:44+00:00
Supply chain diversification is certainly not a problem; it can even be considered excellent. However, supply chain diversification isn't the opposite of independence; it should be a complement to it. You need independent capabilities to survive external changes. Supply chain diversification, on the other hand, allows you to thrive even when external conditions are favorable.

The problem in Europe is that they've placed too much faith in supply chain diversification and almost completely abandoned independent capabilities.
by testthetest | 2025-08-06 09:33:49+00:00
It’s getting harder to make perfect choices as projects grow more complex. Even simple products often mean building for iOS, Android, web, backend, etc. You can only lean on html/js for parts of that, but in practice, the mobile apps will probably get rewritten every few years anyway.

From my side I think it’s more useful to focus on surfacing issues early. We want to know about bugs, slowdowns, regressions before they hit users, so everything we write is written using TDD. But because unit tests are couple with the environment they "rot" together. So we usually set up monitoring, integration and black-box tests super early on and keep them running as long as the project is online.
by esseph | 2025-08-06 09:33:50+00:00
Drone swarms primary purpose is to overwhelm defenses.

Many argue drone swarms require some level of orchestration and control, others say a certain level of automation is required.

I'm aware of the differences in many drone classifications.

HIMARS was made largely impotent by GPS jamming. Glide bombs have limited range (barring exceptions for stuff like JASSM-ER but that is massive increase in cost) and detection and fire by counter battery. Artillery strike requires fairly close proximity but a bit more of rocket assisted.

Spent time doing military things with a lot of ordinance and a lot of drones.
by KaiserPro | 2025-08-06 09:34:03+00:00
I mean your analogy is almost there. The loom is pretty old.

What your grasping for is https://en.wikipedia.org/wiki/Power-loom_riots

Where a precipitous drop in earning power, combined with longer working hours, high inflation and large companies making people unemployed cause large social unrest.

And yeah, I can see why they rioted.
by fsflover | 2025-08-06 09:34:18+00:00
Librem 5 is much more performant than Pinephone, however JS-heavy websites are not very usable. NoScript is the solution. Here is a couple of good review with which I agree:

https://forums.puri.sm/t/nine-months-librem-5-as-my-only-pho...

https://forums.puri.sm/t/librem-5-fatigue/21934

https://forums.puri.sm/t/librem-5-phone-review/21085

https://forums.puri.sm/t/the-current-state-of-the-librem-5-i...

Concerning the camera: https://forums.puri.sm/t/new-post-librem-5-photo-processing-... and https://social.librem.one/tags/shotonlibrem5
by danhor | 2025-08-06 09:34:22+00:00
That is the point of Amaranth (and migen). It's not HLS, it doesn't try to generate logic from normal python code. It's an HDL implemented in python, not trying to look like python code.

In my opinion, it's even more of an HDL than SV or VHDL: It has native concepts of Clock Domains, reset handling and e.g. blockram, it describes the hardware. There is no missmatch with two different, weird assignment types. It's occupied with with accurately covering available/commonly used hardware constructs with commonly used features, not introducing useless abstractions that don't help in practice (trivial example: Your clock signals are not just another signal that mess up timing everywhere if you try to use them that way).

But on the other hand, there is no weird, half-useless metaprogramming/simulation layer with almost the same syntax but tricky rules that differ. That part is proper python.

Thus it's easy to write code that is flexible over different interface types (i.e. one async fifo that can be used for almost all data or an width adapter that mostly works automatically), generate memory-mapped registers that are correctly hooked up, generate wide e.g. CRC operations that are optimized in python code before making HDL out of it as Vivado barfs on them (which I've also seen done with python code that generates systemverilog using string concatenation).

I think my point is just that SystemVerilog isn't a good HDL. It makes it hard to (correctly) describe hardware and makes reuse often harder than it needs to be.

Regarding the intermediate translation step: Amaranth has it's own native simulator and for system-level simulation interfaces directly with yosys for cxxrtl or synthesis for parts directly supported by yosys, bypassing the need for a yosys-> verilog conversion. It's "only" needed for most commercial tools, that can only process SV and VHDL.
by eru | 2025-08-06 09:35:32+00:00
I've also seen people make the wrong direction of reduction.

Basically, they show that you can use SAT to solve Sudoku, and then claim that this makes Sudoku NP-complete. (All it shows is that Sudoku is in NP.)

People make similar mistakes often when they want to show that a certain problem isn't solvable in linear time, and they try to show that sorting can solve your problem. But it's the wrong direction.
by ale | 2025-08-06 09:35:43+00:00
While the web has grown complex in line with increasingly complex applications, the platform is also undeniably bloated, precisely because every new feature (like HTML in Canvas proposal) has to be shoehorned into an already very fragmented puzzle. Backwards compatibility has become an idealistic badge of honor rather than a technical feat. I believe the article does a good job at getting into the technical parts that are in fact not so remarkably robust, despite the web's organic growth. Even a bonsai tree needs to be pruned every once in a while. And while there will never be One Correct Way the way we engineer interfaces have converged a lot since the days of Flash meaning we can at least move the conversation forward in the Mostly Agreed Upon Way.
by misswaterfairy | 2025-08-06 09:35:54+00:00
It looks to be equivalent to Esri's 'branch versioning' on their proprietary ArcGIS Enterprise product, but can also deal with flat files as well as geospatial databases (PostGIS), which while not strictly required becomes really useful when dealing with edits, and conflict management, across multiple editors in large enterprise organisations, such as those that deal with state or country-wide mapping of topographic features.

If it integrated with QGIS/ArcGIS to show visual differences, and allow a user to easily reconcile differences between conflicting features (based on topological rules), I'd definitely be interested though it doesn't seem like it at a glance.

@fyrn_ Re: the work you did with 'multiplayer map editing', is there anything public you could show? I'm interested in how you solved this challenge.
by preommr | 2025-08-06 09:36:13+00:00
I couldn't understand what the hell they were talking about so I put it into chatGPT as a last resort.

> This paragraph expresses a strong critique of a particular argument or philosophy — though it's not explicitly stated what that argument is — and frames that critique through the lens of someone with a bicultural identity and a background in STEM.

lol.

And yes, while LLMs shouldn't be used as a benchmark for general intelligence problems, I think that written communication (especially for a wider audience like on HN) should be simple enough that an AI can understand it.