MurphyA/hacker-news huggingface dataset:
by spwa4 | 2025-08-09 16:31:22+00:00
Why even make this absurd point?

Sudan. Myanmar. Columbia-Venezuela. Syria.

That was 5 minutes research. Every conflict in this list has more children killed than the total deathtoll in the Israel-Palestina conflict, even if you believe hamas' absurd figures.

Or to pull out a really dramatic figure showing just how prejudiced people are against Israel/Jews: Palestinians killed more children in the Syrian civil war than the entire deathtoll in the Israel-Palestina conflict going back to 1880.

The Palestinian-instigated Syrian civil war killed more people than ALL deaths not due to old age in Israel-Palestina, including everything from traffic accidents to those 5 idiot soldiers who managed to fire a rocket aimed at themselves on an empty training ground 3 years ago. Palestinians killed more people in Lebanon in the civil war than realistic figures of the Israel-Palestina conflict.

Which shows the usual muslim prejudices. A million victims, like in Sudan, the better part of a million victims, like in Syria, millions deported in Armenia just 2 years ago, all just doesn't matter, because whoever you blame in that conflict, they're muslim. And muslims don't care about brutally murdered victims. They only care about blaming Jews.
by kelseyfrog | 2025-08-09 16:31:47+00:00
> The reason is simply that the market is currently higher income earning early adopters.

I'm not sure this has a basis in reality. There is no supporting evidence for it.

On the contrary, there is evidence that both Musk's favorability rating[1] and Tesla's brand reputation[2][3] have nosedived over the last few years and especially after Jan 2025.

If you want to claim an income-value-market cause, you'll have to provide more compelling evidence.

1. https://www.natesilver.net/p/elon-musk-polls-popularity-nate...

2. https://www.businessinsider.com/tesla-favorabilty-america-us...

3. https://www.axios.com/2025/05/21/tesla-s-tumbling-brand-repu...
by add-sub-mul-div | 2025-08-09 16:32:32+00:00
Yes, it's not that people know specifically what they don't know, it's that they develop the wisdom to know those boundaries and anticipate them and reduce their likelihood and impact.

For example, if I use the language of my expertise for a familiar project then the boundaries where the challenges might lie are known. If I start learning a new language for the project I won't know which areas might produce unknowns.

The LLM will happily give you code in a language it's not trained well on. With the same confidence as using any other language.
by ColinWright | 2025-08-09 16:32:33+00:00
Some feedback.

I know you think you're explaining this, but it comes across as word salad. You're telling me a bunch of stuff that you've done, but I need to know what problem this is solving.

Mastodon is a social network without ads, without algorithms driving things, and with user-driven content.

I don't know what you mean by "spaces", and when I click the "Register" button I get a blank page. There's no explanation of what it actually is, how it works, or what you will do with my data.
by libraryofbabel | 2025-08-09 16:32:34+00:00
and as others have pointed out, this issue of “how much should I check” is really just a subset of an old general problem in trust and knowledge (“epistemology” or what have you) that people have recognized since at least the scientific revolution. The Royal Society’s motto on its founding in the 1660s was “take no man’s word for it.”

Coding agents have now got pretty good at checking themselves against reality, at least for things where they can run unit tests or a compiler to surface errors. That would catch the error in TFA. Of course there is still more checking to do down the line, in code reviews etc, but that goes for humans too. (This is not to say that humans and LLMs should be treated the same here, but nor do I treat an intern’s code and a staff engineer’s code the same.) It’s a complex issue that we can’t really collapse into “LLMs are useless because they get things wrong sometimes.”
by iteria | 2025-08-09 16:32:38+00:00
They have literally done studies showing that this is a naive take. You might lose weight, but the literal moment you consume more calories your body stores every stray calorie it can and it battles you about loses weight every moment. Your body will save calories to the point of discomfort and ill health. The impacts of extreme calorie deficits last for extremely long times and bias your body towards weight gain.

The body is more like a thermostat system. Environmental effects can convince your body to move the temperature/weight up or down, but for both weight gain and weight loss is a battle. Your body tries to maintain it's understood ideal weight. Your body if given a chance and you haven't convinced it to change the thermostat setting, will immediately do all it can to gain/loose weight. This is why crash diets never work. It takes sustained effort to convince your body that it's wrong about your initial weight.
by gruez | 2025-08-09 16:32:39+00:00
>India has an equally large cattle industry that outproduces American dairy and cattle

That's a tad misleading. The statistics I could find only says that India outproduces the US in dairy, not beef. Rounding

>yet their industry has a fraction of the carbon and methane impact as American dairy and cattle rearing [0]

I did a cursory search in your source for "carbon" and "methane" and couldn't find anything to back this claim, only vague claims about how India does "Regenerative farming" and is therefore "low methane".

>because the feed used in Indian industry is crop residue instead of industrialized meat+grain mixtures.

That's not scalable and only works because the country is poor and beef/dairy consumption isn't high. There's no way you can supply American level demand for beef/dairy by only using crop residue.

>American Ag is hyperconsolidated into 3 processors which makes it difficult for innovations to develop, whereas an equally large country like India has 26 state run dairy cooperatives and multiple private sector players.

You can easily tell an opposite story about how consolidate companies have bigger budgets for R&D and capital projects, as opposed to 26 cooperatives each trying to implement some sort of strategy.
by porknubbins | 2025-08-09 16:33:07+00:00
I just did an 18K BTU mini split in my garage myself with no HVAC background for around $1K and $300 in tools. For a little more capacity this guy paid 30-40x the price.

This article is a perfect example of why I moved out of NYC. Contractors there are more likely to be dishonest, less skilled and more expensive and have insane leverage over rich apartment dwellers who might own a screwdriver but basically have no ability (or permission) to do anything themselves.

Smart, productive people thus have large parts of their lives eaten up dealing with things that are trivial in a large majority of the country because of the density. I decided I’d rather spend my time pursuing my own goals not basic daily comfort.
by Barrin92 | 2025-08-09 16:33:14+00:00
>Current evidence seems to prefer decentralized theories of consciousness like Dennett

There is no such thing as consciousness in Dennett's theory, his position is that it doesn't exist, he is a Eliminativist. This is of course an absurd position with no evidence for it as people like Chalmers have pointed out (including in that Wikipedia article), and it might be the most comical and ideological position in the last 200 years.
by saltcured | 2025-08-09 16:33:24+00:00
My sympathies.

As hard as it is, supporting family members also need to learn to prioritize taking care of themselves and avoiding a spiral towards burnout. With dementia, there is often a time when the patient needs a more controlled environment with 24x7 supervision. Dementia sleep schedules and behaviors fall apart and are not really compatible with a family caregiver's own health needs.

Depending on the dementia case, risky behaviors may emerge at night, and having observant caregivers awake 24x7 may be very important. The financial picture for this is quite difficult in the US. Normally this requires a care facility at some point, as it is impossibly expensive to bring sufficient dementia care via visiting professionals.

To safely handle dementia with "sundowning" and wandering behaviors, you usually need a facility that has about a dozen residents or more. Then, budgets allow for multiple onsite staff and overnight wakeful staff. This can bring more distinct staff roles too, e.g. cooking and housekeeping versus care.

Even this may be overwhelmingly costly, to the point where the dementia ends up depleting the estate and then shifting to some kind of government support. For family or trustees managing this process, it is full of difficult decisions regarding budget and care tradeoffs. For example, do you splurge on "nicer" facilities or other caregiver factors early on, or try to reserve more funds for the inevitable crises? Dementia can be a drawn-out process, where care needs expand to a crescendo before collapsing back to hospice care, which may be more like other terminal illnesses.
by gruez | 2025-08-09 16:34:21+00:00
By "data" I was referring to data to support the claim that consolidation led to increase in prices (eg. margin expansion), not that consolidation was happening at all. It's the same with supermarkets. There's no doubt that consolidation was happening, and there's even evidence that it led to higher prices, but the absolute effect on grocery bills seems to be marginal.
by akshayka | 2025-08-09 16:34:23+00:00
Thanks for the shoutout!

We're committed to having an excellent experience for working with expensive notebooks [1]. At least for my own personal work, I find that there are many reasons to use marimo even when autorun is disabled — you still get guarantees on state, rich dataframe views, reusable functions [2], the Python file format, and more. If you have feedback on how we might improve the experience, we'd love to hear it.

[1] https://docs.marimo.io/guides/expensive_notebooks/

[2] https://docs.marimo.io/guides/reusing_functions/
by cjtrowbridge | 2025-08-09 16:38:21+00:00
This is an obvious third-factor for poverty and marginalization. Air pollution exposure is the most classic example of unequal protection from harm in environmental justice. Alameda county did a study on this that found as an isolated, direct-result of unequal exposure to air pollution, black people live 15 years less than white people on average in Alameda County alone.
by bonvoiay | 2025-08-09 16:38:26+00:00
It surprises me how often the basic physiology still gets overlooked.

Hunger is driven by hormonal signals designed to defend a set point. Even if you consciously fast for most of the day, your brain will push you to make up the difference once you start eating. When it comes to fat loss, it still boils down to maintaining a caloric deficit — timing alone won’t keep your appetite in check for long. We’ve known this for years.

IF may have other potential benefits — better insulin sensitivity, longevity, or improved adherence for some people (since avoiding food most of the day can be psychologically easier) — but none of that is “new” anymore.
by RatchetWerks | 2025-08-09 16:38:56+00:00
I’m very happy others are documenting their heat pump installs.

It confirms three things for me.

1. Contractor quality is the biggest pain for the adoption of residential green tech.

2. Old homes (if not historic) should get depreciated aggressively by the market to the point that knock downs make sense. Japan does this.

3. DIY is has the hidden benefit of speed/quality/cost, since contractor pain is high. Yes, I understand the massive opportunity costs.

A friend of mine is trying to install a new central heat pump in their home. The only thing stopping them is contractors being hard to work with. Not price.

Here’s my DIY install.

https://www.ratchetwerks.com/heat-pump-mini-split-install
by nchmy | 2025-08-09 16:39:23+00:00
Fair enough, rxdb was originally built on pouchdb, but now doesn't support it anymore since that project has a lot of issues.

https://rxdb.info/rx-storage-pouchdb.html

My point/question still stands though - rxdb seems to be vastly more capable than all of the new tools that get all the attention. Very peculiar
by Nadya | 2025-08-09 16:39:35+00:00
The argument of likeness seems odd to me because there are at least a dozen people who might look almost exactly like you who are alive somewhere in the world.

What if I give explicit permission to use my likeness but my lookalike demands it can't be used? We're both dead. Do my wishes not get respected because someone who looks like they could be my identical twin had other wishes? Whoever's estate has the deeper pockets?

See photography by François Brunelle. The similarities went past appearances too. Many of the stranger dopplegangers had similar hobbies and even similar personalities. So if an AI recreation looks like me, acts like me, and has the same hobbies as me that means nothing unless someone is trying to claim it is me (rather my likeness).
by canerdogan | 2025-08-09 16:39:36+00:00
When I first started trying to build games with LLMs I did what almost everyone does at the beginning. I went straight for a one-shot prompt to make a complete game. Just like many others, I expected the model to almost read my mind. I imagined it would somehow capture all the little connections and decisions happening in my head in a fraction of a second just from a few lines of text. Of course, that is not how they work.

After some time I began to understand the mechanics of how LLMs operate on a deeper level. That naturally led to the now fading term “prompt engineering”. These days people talk more about “context engineering” but the core idea is the same. We have to teach our own brain how the LLM works so we can structure the context in a way that lets it deliver maximum value.

With my current work on GameByte, where AI builds studio-quality mobile games from prompts, this understanding has become crucial. When you explain the problem in a way that matches how the model processes information, even something as short as “3D platformer game” in the system prompt can be enough. The model will then ask the right follow-up questions and move you toward your goal without constant manual steering.

Another lesson is that all the old pain points developers faced before AI are still pain points for LLMs. Spaghetti code, excessively long files, poor documentation, lack of comments and missing test cases all reduce their effectiveness. This is why Amazon’s recent “Kiro” and the spec-driven development approach resonate so well. They are basically formalizing best practices that those of us building with LLMs have learned over time.

And finally, LLMs do not particularly enjoy editing someone else’s messy code. Just like human developers, they perform much better when writing from scratch. If you clearly define the boundaries of the task and ask them to start fresh, the results are often significantly better.
by testing22321 | 2025-08-09 16:39:53+00:00
The really cool part is you don’t have to accurately track how many calories go in and out. The proof is in the pudding.

If you had a car with a broken gas gauge you would just pump until it overflowed… same idea here.

Over a month or so if your weight is stable then you are putting in as many calories as you burn. If you’re gaining weight, you’re consuming more, and if you’re losing weight, you’re consuming less.

Adjust accordingly.
by ForceBru | 2025-08-09 16:40:05+00:00
Some years ago I used the Python library Lark (https://github.com/lark-parser/lark) to parse my programming language. It lets you write your grammar in basically EBNF, builds parse trees (that you can automatically reduce by removing leaves for parentheses, for example) and generates standalone pure-Python LALR(1) parsers for your grammar. Back then, I had a blast with it, it was fast, super easy to use and just worked. Now it's got 5k stars and seems to be a mature and production-ready library.

Thus, I vote Python: it has this amazing parser library, it's garbage-collected (no need to fiddle with memory allocations, like in C), it's dynamically typed (so you basically don't need to think about types at all), it now has a `match` statement (!) that makes it super easy to dissect your parse trees and abstract syntax trees.
by starchild3001 | 2025-08-09 16:40:52+00:00
Latency users experience while getting their answers is a big part of the LLM experience.

Well done model routing is a tremendous leap forward to minimize the latency & improve the user experience.

E.g. I love Gemini 2.5 Pro. But it's darn slow (sorry GDM!). I love the latency I'm getting from 4o. The solution? Just combine them under one prompt, with well done model routing.

Is GPT5 router "good enough"? We'll see.

I think OpenAI is a smart company. And Sama is a tremendous leader. They're moving in the right direction.
by yardie | 2025-08-09 16:40:56+00:00
> Still when I ask Claude.AI to double-check the math on our power consumption, it thinks we have an incredibly leaky apartment. Like ridiculously off the charts. This also lines up with my inability to run a humidifier in the winter. I got the biggest, baddest humidifier I could find, and it barely makes a difference.

I would have started figuring this out before spending any money on a mini-split. OP, your climate envelope has failed somewhere. Spend some more money on a IR camera and try and identify where that leak is. Your basically just air-conditioning some of your apartment and some of the outdoors.
by jpc0 | 2025-08-09 16:40:59+00:00
> And yeah, their confidence is frustrating. Treat them like an over-confident twenty-something intern who doesn't like to admit when they get stuff wrong.

I was explicitly calling out this comment, that intern would get fired if when explicitly called out they not only don’t want to admit they are wrong but vehemently disagree.

The interaction was “Implement X”, it gave an implementation, I responded “function y does not exist use a different method”, it instead of following that instruction gave me a link to the documentation for the library that it claim’s contains that function and told me I am wrong.

I said the documentation it linked does not contain that function and to do something different and yet it still refused to follow instructions and pushed back.

At that point I “fired” it and wrote the code myself.
by RandomBacon | 2025-08-09 16:41:18+00:00
That guideline is decent I guess.

I am disappointed that they edited another guideline for the worse:

> Please don't comment about the voting on comments. It never does any good, and it makes boring reading.

It used to just say, don't complain about voting.

If the number of votes are so taboo, why do they even show us the number or user karma (and have a top list)?
by qcnguy | 2025-08-09 16:42:09+00:00
Seems wild unless you check out the state of the modern book market. That kind of verbal pornography is everywhere, women can't seem to get enough of it. 4o isn't even chatting in those screenshots, it's writing fiction in which events are described in the past tense, the sort of "a sexy vampire violated me in his crypt but i liked it" fiction that some women seem to be addicted to. Very sad that she calls this a husband :(

What really is wild though is that George Orwell predicted this in 1948. Julia was 26 years old and worked in the book writing department, where novel writing machines spat out books at an industrial scale.
by pron | 2025-08-09 16:42:39+00:00
> Any rhetorical device that equates Java/C# (any memory safe Turing language ) safety with C is most likely a fallacy.

I agree, but I didn't do any of that. If anything my point was that 1. safety is clearly not a binary thing and no one really treats it as such (even those who claim it is a binary distinction) and 2. that trying to extrapolate from one language to another based on choosing some property that we think is the most relevant one may be assuming that which we seek to prove.

Saying that C, C++, and Zig are "the same" because they all make fewer guanratees than Rust is as silly as saying C, C++, Zig, and Rust are the same because they all offer fewer guarantees than ATS, or that Rust and Java are the same because they offer similar guarantees but with very different complexity costs.

Also, the focus on memory safety is justified because of the security bugs it causes, but the two major kinds of unsafety (out-of-bounds access and use-after free) aren't equally dangerous, and Rust pays most of its complexity cost to prevent the less dangerous of the two (https://cwe.mitre.org/top25/archive/2024/2024_cwe_top25.html). There's even more nuance here, because some techniques focus on reducing the risk of exploitable use-after-free bugs without preventing it or even making it easier to detect at all (https://www.cl.cam.ac.uk/~tmj32/papers/docs/ainsworth20-sp.p...).

It's all a matter of degree, both when it comes to the risk as well as to the cost of avoiding it. Not much here, beyond the very basics, is simple or obvious.

If you want to read some more even nuanced things I've written about software correctness, you can find some old stuff here: https://pron.github.io
by Zak | 2025-08-09 16:42:51+00:00
Maybe, but there's no good excuse for this making it past the prototyping phase. If nobody plugged it into a USB-C power supply and noticed it doesn't work, that's negligent.

By 2019 or so, when USB-C was five years old, somebody on any product design team should have been aware this is a common problem and checked for it when selecting components.
by whartung | 2025-08-09 16:42:52+00:00
I have been "a little airborne" in a Toyota Tercel, we and the vehicle survived OK. I dragged one of those over large chunks of the Nevada desert. FWD FTW. I sometimes shiver looking back at the places we took that thing.

We didn't have an NPR Classical Music station to listen to, however.

I will note in the future, however, when selling my car, to tune it to NPR.
by hyperknot | 2025-08-09 16:43:49+00:00
I've just written my question to the nginx community forum, after a lengthy debugging session with multiple LLMs. Right now, I believe it was the combination of multi_accept + open_file_cache > worker_rlimit_nofile.

https://community.nginx.org/t/too-many-open-files-at-1000-re...

Also, the servers were doing 200 Mbps, so I couldn't have kept up _much_ longer, no matter the limits.
by jacquesm | 2025-08-09 16:44:29+00:00
We had a W203 station as well, that one definitely was terrible (this was around the time the paint formula change happened), but the e class wagon is much older and still in very good shape. The one part that seems to be plagued by rust is the rear hatch, everything looks good. He's still debating replacing it entirely (the hatch, not the car) or welding it up and respraying it. He's a petty good welder and he really loves that car so there is a good chance he'll end up doing just that but at the same time that is not as good a fix as getting a NOS rear hatch and putting it in marine primer before spraying it.
by sdk16420 | 2025-08-09 16:46:01+00:00
I used to have a similarly priced Withings smartwatch clone; worked very well for years until I switched to a new phone and the app turned out to be gone from the store and the log in servers were offline. Without the app you can't get notifications or even sync the time and the watch is useless. Yes, well-known brands also discontinue software, but with a cheap watch like this, it's almost guaranteed to become a paperweight in a few years.

Now I have a real Withings, at 10 times the price of the fake, it honestly offers only a marginally better experience.
by pbronez | 2025-08-09 16:46:02+00:00
I thought that was odd too. There are lots of ChatGPT clones implemented as native MacOS apps.

The main advancement in TFA is using the new Container Swift API for local tool use. That functionality would probably be a welcome contribution to any of these:

https://github.com/Renset/macai

https://github.com/huggingface/chat-macOS

https://github.com/SidhuK/WardenApp

https://github.com/psugihara/FreeChat