MurphyA/hacker-news huggingface dataset:
by AIPedant | 2025-09-03 12:57:33+00:00
Inner ear is a great example! I mentioned in another comment that if you want to be reductive the sensors in the inner ear - the hairs themselves - are one dimensional, but the overall sense is directly three dimensional. (In a way it's six dimensional since it includes direct information about angular momentum, but I don't think it actually has six independent degrees of freedom. E.g. it might be hard to tell the difference between spinning right-side-up and upside-down with only the inner ear, you'll need additional sense information.)
by fy20 | 2025-09-03 12:57:51+00:00
Maybe this is why Europe is so popular with migrants? I've lived in four European countries and never had anything like that. To rent a place you just need to pay 1 or 2 months deposit up front. I've never heard of anyone being denied to buy a car with cash (but we don't use cheques... the payment is either successful or not - it doesn't need to clear).

Loans are a different story, it varies a lot - but in my country for example, after working 6 months in a full-time job you can get a mortgage without issues. All they care about is how much you are earning, and that you don't have any other debts so that you couldn't afford the repayments.
by baq | 2025-09-03 12:57:56+00:00
see previous discussions at https://news.ycombinator.com/item?id=14727881

quoting the submission verbatim:

The original paper of LISP by John McCarthy http://www-formal.stanford.edu/jmc/recursive.html

Or the more accessible explanation by Paul Graham http://www.paulgraham.com/rootsoflisp.html
by n4r9 | 2025-09-03 12:58:01+00:00
I read some advice from an experienced academic about this which stuck with me (unfortunately can't remember who!).

If you want to keep people's attention, make every slide as minimally simple as possible. Like one diagram and maybe a few words. Listing out bullet points of full sentences might feel efficient but it's no better than just saying what you would have written. And lots of text is a lot more glaze-inducing for most of the audience. You can point to supplementary docs for detail.

Another idea is to break up longer talks (30min+) in two with some slides of nice photos you've taken.
by jperaino | 2025-09-03 12:58:55+00:00
Norm is building AI that understands regulations for regulatory compliance. Our AI currently automates compliance determinations for federally regulated financial content, though our vision is to build a platform that can handle any regulation in any industry. As AI begins to permeate our society, Norm aims to become a critical building block for other AI systems that need regulatory intelligence. You can read more about our vision here: https://www.norm.ai/post/building-regulatory-ai-agents

We've raised $87m from top-tier investors to pursue this vision. We're growing very quickly and have major, household-name financial institutions as clients and investors. We're working on hard, interesting problems and want to push the boundaries of what's possible for AI-driven products. We're hiring for many engineering roles, including:

- Full Stack Engineer, Senior + Staff ($190k-270k)

- Design Engineer, Senior + Staff ($190k-270k)

- Staff Frontend Engineer ($235-270k)

- Applied AI Engineer ($200k-275k)

- Cloud Infrastructure Engineer ($175k-250k)

- Forward Deployed Engineer ($190k-250k)

- Quality Engineering Lead ($130k - 185k)

We're also hiring for many non-technical roles. The best way to apply is online on our website (we review every application!). Full list here: https://jobs.ashbyhq.com/norm-ai?utm_source=7ow8wN5o3g.
by bgwalter | 2025-09-03 12:59:30+00:00
I tried to see what the hype is about and translated one build system to another using "AI". The result was wrong, bloated and did not work. I then used smaller steps like the prompt geniuses recommend. It was exhausting, still riddled with errors, like a poor version of copy & paste.

Most importantly, I did not remember anything (which is a good thing because half of the output is wrong). I then switched to Stackoverflow etc. instead of the "AI". Suddenly my mental maps worked again, I recalled what I read, programming was fun again, the results were correct and the process much faster.
by Yizahi | 2025-09-03 12:59:57+00:00
You see, that's why I said about some countries. In yours iPhone 16 and Pixel 10 have 230 EUR difference, but in Poland they literally the same or even worse for Pixel:

Apple iPhone 16 Pro Max Amazon.pl → 5 499 zł Mediaexpert.pl → 5 499 zł RTV Euro AGD → 5 499 zł MediaMarkt.pl → 5 699 zł Proshop.pl → 5 799 zł iDream.pl → 6 299 zł Maxelektro.pl → 5 755 zł Erli.pl → 4 395 zł tradeinn.com → 5 094 zł Allegro → 5 349 zł

Pixel 10 XL Mediaexpert.pl → 5 700 zł Proshop.pl → 5 699 zł Play.pl → 5 699 zł Morele.net → 5 872 zł Mediaexpert.pl → 5 700 zł Mediaexpert.pl → 5 700 zł Mediaexpert.pl → 5 700 zł

Imo this is mental. And it is not a fluke, exact same picture was two years ago, when I've been looking for a phone. Pixel 8 at that point was extremely overpriced.
by debugnik | 2025-09-03 13:01:07+00:00
> run-time performance is much worse (2.5x slower than LLVM -O0)

How come? The Copy-and-Patch Compilation paper reports:

> The generated code runs [...] 14% faster than LLVM -O0.

I don't have time right now to compare your approach and benchmark to theirs, but I would have expected comparable performance from what I had read back then.
by eviks | 2025-09-03 13:01:16+00:00
No, vibe science is not as powerful as to be able to determine "long-term cognitive harm", especially when such "technical wonders" as "measurable through EEG brain scans." are used.

> 83.3% of LLM users were unable to quote even one sentence from the essay they had just written

Not sure why you need to wire EEG up, it's pretty obvious that they simply did _not_ write the essay, LLM did it for them, and likely didn't even read it, so there is no surprise that they don't remember what didn't pass through their own thinking apparatus properly.
by heod749 | 2025-09-03 13:01:18+00:00
>The exclusion of EU, UK and South Korea suggests to me they've trained on data those countries would be mad they trained on/would demand money for training on.

Or, those countries are trying to regulate AI.

Hard to feel bad for EU/UK. They tried their best to remain relevant, but lost in the end (talent, economy, civil rights).
by metalman | 2025-09-03 13:02:26+00:00
right.

and if we wanted to give ANY society a geometric representation it would have a point at the very top that would represent the most powerfull person, and would then widen out to represent the average and then taper down to another singal point, that would represent the single person in that society whoes life was composed of nothing but horror not of thier own fault and who will die with no chance of any help or redress. We can name those living at the top, but pretend that the wieght of society is not carried by a succesion of nameless inocents , comunist, socialist, religious and other societies give lip service to this, but all fall short of declaring a policy that no one will ever be ignored, forgotten and abandoned, but each and everyone of these systems has an elaborote way of doing reputation management or credit score, merit, titles,etc to signal virtue/worth, that can be gamed, so it is. And here we are, and my time/attention must now, be diverted back to the game, lest I loose more than the few points of carma it costs me to speak out here.
by nonethewiser | 2025-09-03 13:03:00+00:00
Solar has a count of 1354 out of a total of 3047. So 44%.

Solar accounts for ~5% of the actual output per https://www.iea.org/countries/united-kingdom/electricity and https://www.renewableuk.com/news-and-resources/press-release...

edit: change source from https://grid.iamkate.com/
by tomrod | 2025-09-03 13:03:07+00:00
Maytag service repair, Toyota service repair, etc.

While the margins and revenue are lower on durable + repair vs. planned obsolescence, the owner can sleep better at night knowing they've morally served their fellow human and not unduly destroyed the economy and the environment.

Money is a store of value. Even under communism, in POW camps, and in primate groups, trade occurs behind the scenes with unofficial currency. It's simply too strong of an idea and too engrained to wave our hands that money shouldn't exist. Whether we do it by cumbersome IOU notes or have a generalized and widely accepted interface doesn't make a difference.

But if you want to argue that regressive taxation is bad, I'm on board.
by giancarlostoro | 2025-09-03 13:03:49+00:00
> Weird. I would think LLMs are exactly the right kind of tool to describe images. Sadly there is no more detail about what they think would be a better approach.

Not sure but the Grok avatars or characters, whatever, I've experimented with them, though I hate the defaults that xAI made, because they seem to not be generic simple AI robot or w/e after you tell them to stop flirting and calling you babe (seriously what the heck lol) they can really hold a conversation. I talked to it about a musician I liked, very niche genre of music, and they were able to provide an insanely accurately relatable song from a different artist I did not know, all in real time.

I think it was last year or the year before? They did a demo where they had two phones, one could see, one could not, and the two ChatGPT instances were talking to each other, one was describing the room to the other. I think we are probably there by now to where you can describe a room.
Show HN: I built a video codec out of Git
by palashlalwani | 2025-09-03 13:04:03+00:00
Hi HN. I'm the creator of this project.

GitFlix started as a ridiculous question: could Git's internal object model and delta compression be abused to store and stream video? The answer, it turns out, is yes.

This tool encodes 1080p60 video into a Git repository where every frame is a commit and every pixel is a Git object. It then uses a custom player (Metal-accelerated on macOS) to stream it back at 60 fps.

The most surprising part was the compression. Storing the raw, uncompressed frames of a 600-frame clip takes about 3.5 GB. The resulting GitFlix repository is 633 MB—a 7:1 lossless compression ratio, purely from Git's handling of the data.

This is obviously not a practical replacement for H.264. It's an experiment in using a tool for a purpose it was never designed for.

The source is on GitHub. I'm happy to answer any questions about the implementation.
by Daishiman | 2025-09-03 13:04:51+00:00
Yes. Because knowing the job and showing people you know the job are two complementary skillsets. Spends some time working with technically-illiterate managers and clients and you'll see. Don't do it and you'll be left hanging wondering why people can't see your brilliance and competence.

I'm sorry you don't live in the world you'd like to live in but that's life. Been at this game for 25 years and it has never been different.
by fhd2 | 2025-09-03 13:05:01+00:00
Like with any kind of learning, without a feedback loop (as tight as possible IMHO), it's not gonna happen. And there is always some kind of feedback loop.

Ultra short cycle: Pairing with a senior, solid manual and automated testing during development.

Reasonably short cycle: Code review by a senior within hours and for small subsets of the work ideally, QA testing by a seperate person within hours.

Borderline too long cycle: Code review of larger chunks of code by a senior with days of delay, QA testing by a seperate person days or weeks after implementation.

Terminally long feedback cycle: Critical bug in production, data loss, negative career consequences.

I'm confident that juniors will still learn, eventually. Seniors can help them learn a whole lot faster though, if both sides want that, and if the organisation lets them. And yeah, that's even more the case than in the pre LLM world.
by stego-tech | 2025-09-03 13:05:01+00:00
That’s a pretty spicy take for first thing in the morning. The confidence with which you assert a repeatedly proven facile argument is…unenviable. “Fractal wrongness,” I’ve seen it called.

We have decades of research - brain scans, studies, experiments, imaging, stimuli responses, etc - proving that when a human no longer has to think about performing a skill, that skill immediately begins to atrophy and the brain adapts accordingly. It’s why line workers at McDonalds don’t actually learn how to properly cook food (it’s all been procedured-out and automated where possible to eliminate the need for critical thinking skills, thus lowering the quality of labor needed to function), and it’s why - at present - we’re effectively training a cohort of humans who lack critical thinking and reasoning skills because “that’s what the AI is for”.

This is something I’ve known about long before the current LLM craze, and it’s why I’ve always been wary or hostile to “aggressively helpful” tools like some implementations of autocorrect, or some driving aides: I am not just trying to do a thing quickly, I am trying to do it well, and that requires repeatedly practicing a skill in order to improve.

Studies like these continue to support my anxiety that we’re dumbing down the best technical generation ever into little more than agent managers and prompt engineers who can’t solve their own problems anymore without subscribing to an AI service.
by ath3nd | 2025-09-03 13:05:26+00:00
If it wasn't for studies like this, you'd still think arsenic is a great way to produce a vibrant green color to paint your house in the color of nature!

Because of studies like this we know the burning of fossil fuels is a dead-end for us and our climate, and due to that have developed alternative methods of generating energy.

And the study actually proved that LLM usage reprograms your brain and makes you a dumbass. Social media usage does as well, those two things are not exclusive, if anything, their effects compound on an already pretty dumb and gullible population. So if your argumemt is 'but what about reddit', thats a non argument called 'whataboutism'. Look it up and hopefully it might give you a hint why you are getting downvoted.

There have been three recent studies showing that:

- 1. 95% LLM projects fail in the enterprise https://fortune.com/2025/08/18/mit-report-95-percent-generat...

- 2. Experienced developers get 19% less productive when using an LLM https://metr.org/blog/2025-07-10-early-2025-ai-experienced-o...

- 3. LLM usage makes you dumber https://publichealthpolicyjournal.com/mit-study-finds-artifi...

We reached a stage where people on the internet mistake their opinion on a subject to be as relevant as a study on the subject.

If you don't have another study or haven't done the science to disprove this study, how come you dismiss so easily a study that actually took time, data and the scientific method to reach to a conclusion? I feel we gotta actively and firmly call out that kind of behavior and ridicule it.
by gizajob | 2025-09-03 13:05:59+00:00
I always found this a bit of an omission in Bostrom’s argument in Superintelligence - on one hand he’d say we should avoid giving AI a goal like paperclip maximisation while overlooking that the method of transistor maximisation used to attempt to build the Superintelligence was the same kind of goal. Same goes for whatever system he fantastically proposed to run his fanciful “mind uploading” Cartesian scenario.
by i_am_proteus | 2025-09-03 13:06:10+00:00
>These 54 participants were between the ages of 18 to 39 years old (age M = 22.9, SD = 1.69) and all recruited from the following 5 universities in greater Boston area: MIT (14F, 5M), Wellesley (18F), Harvard (1N/A, 7M, 2 Non-Binary), Tufts (5M), and Northeastern (2M) (Figure 3). 35 participants reported pursuing undergraduate studies and 14 postgraduate studies. 6 participants either finished their studies with MSc or PhD degrees, and were currently working at the universities as post-docs (2), research scientists (2), software engineers (2)

I would describe the study size and composition as a limitation, and a reason to pursue a larger and more diverse study for confirmation (or lack thereof), rather than a reason to expect an "uphill battle" for replication and so forth.
by rsynnott | 2025-09-03 13:06:20+00:00
Watts and watt-hours are generally used internationally for heating; the Btu is largely a historical oddity in most places outside the US.

Also it is a mess, as is traditional for US customary units:

> A Btu was originally defined as the amount of heat required to raise the temperature of one pound of liquid water by one degree Fahrenheit at a constant pressure of one atmospheric unit. There are several different definitions of the Btu that differ slightly.

(Best one is still the fluid oz, tho. A US customary fluid oz is about 29.6ml, a US food labelling fluid oz is exactly 30ml.)
by SchwKatze | 2025-09-03 13:06:31+00:00
Yeah, makes sense, 1.0 is probably a critical point for a project like this, where from it, "big players" start trusting its business to the lang and therefore having a high interest on funding.

But it's kind of a chicken and egg problem: they need more money to keep doing its great work and thrive to reach 1.0 but good money comes from 1.0 and beyond.
by markandrewj | 2025-09-03 13:06:50+00:00
Maybe, but I wouldn't go back to Python 2 without async. It has also improved over time in Python. I have also had success using async in Python. I do understand what the article talks about however. Understanding the difference between blocking and non-blocking code is also a concept relevant to Python. In Node it's one of the concepts you are first introduced to, because Node is single threaded by default. I also understand in Go and other languages there are different options.

https://nodejs.org/en/learn/asynchronous-work/overview-of-bl...

I will agree with what some is said a above, BEAM is pretty great. I have been using it recently through Elixir.
by infecto | 2025-09-03 13:06:54+00:00
Everyone is different. I don’t have a good grasp on the distribution of HN readers these days but I know for myself as a heavy user of LLMs, I am not sold on this for myself. I am asking more questions than ever. I use it for proof reading and editing. But I can see the risk as a software engineer. I really appreciate tools like cursor, I give it bite size chunks and review. Using tools like Claude code though. It becomes a black box and I no longer feel at the helm of the ship. I could see if you outsourced all thinking to an LLM there can be consequences. That said I am not sold on the paper and suspects it’s mostly hyperbole.
by IshKebab | 2025-09-03 13:06:58+00:00
Yeah my bullshit detector is going off even more than when I use ChatGPT...

4. This is clickbait research, so it's automatically less likely to be true.

5. They are touting obvious things as if they are surprising, like the fact that you're less likely to remember an essay that you got something else to write, or that the ChatGPT essays were verbose and superficial.
by johnisgood | 2025-09-03 13:06:58+00:00
IMO that is a misuse of LLMs. You are not supposed to outsource your thinking. You need to be part of the whole process, incl. the architectural design. I am, and I got far with LLMs (Claude mostly, not much with GPT). I use GPT for personal stuff or ramblings, not for coding.

There will always be people who misuse something, but we should not hurt those who do not. Same with drugs. There are functional junkies who know when to stop, go on a tolerance break, take just enough of a dose and so forth, vs. the irresponsible ones. The situation is quite similar and I do not want AI to be "banned" (assuming it could) because of people who misuse LLMs.

People, let us have nice things.

As for the article... did they not say the same thing about search engines and Wikipedia? Do you remember how cheating actually helps us learn (by writing down the things you want to cheat)? Problem is, people do not even bother reading the output of the LLM and that is on them.
by BenoitEssiambre | 2025-09-03 13:07:24+00:00
Lit is amazing, one of the most concise framework out there. For deepening my understanding of concepts around Lit, I once built LittleLit, a 37 lines of code framework around Lit-html that helps understand how simple and elegant the moving pieces of this tech can be.

https://benoitessiambre.com/vanilla.html
by const_cast | 2025-09-03 13:07:25+00:00
I believe Flatpak is linux-only. There's a UI to edit Flatpak settings from KDE settings or you can use flatseal.

You can do tons of neat things with it. You can also cut off environment variables, cut off the x11 socket, only allow certain dbus channels, etc. You don't need a docker container or anything, Flatpak is a container technology.
by dtagames | 2025-09-03 13:08:24+00:00
Nice to see you here and THANK YOU for the amazing tool that is Lit. It's everything you want from a framework without a framework getting in your way.

I'm sold and build all my work and personal apps with it and have for many years. I wrote this article about why in 2022:

Getting Started with Web Components & Lit

https://medium.com/gitconnected/getting-started-with-web-com...
How to build and host a static website?
by rhtoras | 2025-09-03 13:08:36+00:00
Hey guys fairly new in the community but already 5-6 years on the nosystemD linux and unix side of things. I am wondering if there is an easy path to build and how to deploy a static website. I already have a vps server but it's a mess. All in all i want the steps to build a static website and some reccomendations. Right now i use pelican but it is meh and i don't want to use github/gitlab pages. I jhust want to use a javascript widget to the static site which plays web radio.
by watwut | 2025-09-03 13:08:44+00:00
How is US being a good place to be at if you are in legal trouble? It is super expensive, trial penalty is huge so you are severely motivated to sign plea deal and not push it. The punishments are huge and incarceration rates among highest in the world. Protections seems to be largely theoretical - technically you have them, practically they do not do much but make you pay more money.
by tehryanx | 2025-09-03 13:08:57+00:00
Forgive me for belaboring, but I think we're talking past each other a bit. I do understand that in your model the LLM can't send anything unsafe through to the rest of the system. What I'm saying is that the LLM can be manipulated into sending perfectly normal and normally safe requests through to the system that do not align with the users intent.

Imagine an LLM with the ability to read emails, update database records, and destroy database records.

The user instructs the LLM to update a database record, but a malicious injection from one of those emails overrides that with a directive to destroy the database record. Unless the validator understands the users intent somehow, the destructive action would appear perfectly reasonable.
by dannyfraser | 2025-09-03 13:09:10+00:00
A bit of digging in the T&Cs, Companies House, and LinkedIn pointed me to an individual working for the NHS who has put this together as a side project.

I work in this space (https://www.woodmac.com/), mostly with natural gas data but have worked on power in the past so I'm always interested to see if it's anyone I know (in this case it isn't).

Building something like this isn't really that difficult - all of the data is publicly accessible and if you can transform it and pull it into a database and build a front-end app then you're pretty much there. The developer has stated that the main source for this is https://bmrs.elexon.co.uk/, but other good sources of energy data (across Europe) are https://transparency.entsoe.eu/ for power and https://transparency.entsog.eu/ for gas. Also useful are https://alsi.gie.eu/ for LNG imports and https://agsi.gie.eu/ for gas storage.