MurphyA/hacker-news huggingface dataset:
by jerf | 2025-10-28 15:45:18+00:00
"Winnipeg, Manitoba" ... "only need 15 minutes of sunshine per day to get your recommended dose of Vitamin D"

That doesn't apply to you most of the time, unfortunately. Vitamin D is the result of UVB exposure. For significant portions of the year, you don't get very much [1], compare with, say, [2] Orlando Florida in the US. 10-15 minutes is for a UV index of 7 [3], so that's only 4-6 months out of the year for you. And just based on my couple minutes with Google here, that number may also include the assumption that you're not just "out in the sun" for 15 minutes, but basically sunbathing. Lesser exposure may take longer: [4] Winter times can be effectively impossible because you can't sunbathe at 10 below (regardless of which scale I'm talking about) and you're not going to spend the requisite hours in the sun for what little skin is exposed. Or they can be outright impossible if your skin is dark enough.

[1]: https://winnipeg.weatherstats.ca/charts/forecast_uv-monthly....

[2]: https://nomadseason.com/uv-index/united-states/florida/orlan...

[3]: https://overcomingms.org/program/sunlight-vitamin-d/uv-index...

[4]: https://vitamindwiki.com/dl2105?display
by nostrebored | 2025-10-28 15:45:29+00:00
The amount of problems where people are choosing a temperature of 0 are negligible though. The reason I chose the wording “implementations of models you’re talking to today” was because in reality this is almost never where people land, and certainly not what any popular commercial surfaces are using (Claude code, any LLM chat interface).

And regardless, turning this into a system that has some notion of strategic consistency or contextual steering seems like a remarkably easy problem. Treating it as one API call in, one deterministic and constrained choice out is wrong.
by dukefound | 2025-10-28 15:45:31+00:00
Congrats on building this and thanks for sharing. I'm working through a similar problem. One thing I'd want to know is how you're distributing the app - you're clearly able to get users. From your description the actual user archetypes aren't all that clear (apologies if you already mentioned). For example, what's the age band of user? What work do they do? Where are they located? What exactly are they using it for? If you're able to understand some of that then you may have a better sense of their behaviors and what features may resonate. In other words, I'm an advocate of niching down.
by grayhatter | 2025-10-28 15:45:48+00:00
> Because you explicitly said that existing code would continue to work without `std.Io`.

Because I'm not conflating passing an Io object, (what everyone expects to be mandatory) and existing APIs moving into the Io namespace (an API change that can only be considered significant if you're trying to win an argument on reddit).

These are drastically different changes, and only one can be considered a meaningful change.

> I like Zig, but it does not have a stable API. That's just how it is.

The last 3 minor version upgrades, required a diff in all of my projects. All of them could have been fixed with exclusively sed -i to update namespaces. None of them required real attention, or logic changes.

In one repo I made the namespace changes in isolation. After some time I then went back and rewrote a few blocks to take advantage of the features, runtime speed improvements, and generally improved code quality granted from the new API.

I don't expect zig's API to be stable, and I regret it if my comment gave you a different impression. But I stand by my comments because I respectfully refuse to ignore the pragmatics of using zig. Calling moving a function between namespaces breaking API change can be argued as technically correct, but bordering on being intentionally misleading.
by nonethewiser | 2025-10-28 15:45:51+00:00
How does this work?

It seems like it, in most ways, it would be bad to train on 24 separate languages. That's just 24 partitions to the data. Seems really inefficient and better to simply train in the biggest (english) and translate.

I do think this will introduce some biases that correlate with the English language. It would be interesting to see more specifically what this means. But regardless, I don't think you can produce a competitive model with such a large subdivision of training data.
Ask HN: Developed something for myself and wanted it to make it for more people
by hacker1234444 | 2025-10-28 15:46:09+00:00
Last week I got tired of writing the same integrations (Discord, Clerk, Google Maps, etc.) for every project. So I built a simple CLI tool for my workflow — I can now add these components to my Next.js app with commands like:npx servi add clerk/signup

it saves me a lot of setup time, and I was thinking of polishing it up for others to use. Would this be useful to you? Any feedback on what you’d expect from a tool like this?
by rayiner | 2025-10-28 15:46:25+00:00
To make your analogy work, the benefit would be for people who weren’t personally abused, but whose parents or grandparents were abused. And yes, that would be quite odd.

The rationale for racial preferences in 2025 is not that they are a benefit to individuals who were personally harmed by racial discrimination. The institutions engaging in these practices insist that they are otherwise engaged in race blind practices. If such practices existed, DEI as we know it would be unnecessary. We could simply just enforce the existing laws in a race-blind way.
by brettgriffin | 2025-10-28 15:46:43+00:00
It sounds like he just focuses on backend/server development. The language he uses is irrelevant. I know plenty of incredible developers that focus on backend development, and despite working in TypeScript all day, couldn't tell you much about the current frontend tooling ecosystem. They don't care.

Contentious opinion: most 'full stack' developers are bad at least one half of the stack (and very often both).
by mullingitover | 2025-10-28 15:46:56+00:00
I never imagined in 2018 that I would go from “Elon Musk is so cool, like a real life Tony Stark!” to “Elon Musk should get no more than 30 minutes direct sunlight per day as he serves his prison sentence,” and for legions of his former customers this is the moderate stance.

Tesla is cooked, it’s hilarious that he’s now demanding a trillion dollars given the wanton destruction he’s inflicted on the brand.
by kragen | 2025-10-28 15:47:00+00:00
Nitpick: "da Vinci" wasn't our homeboy's name. That just means "from Vinci". He was "Leonardo", like many other people, so we added "da Vinci" to clarify which Leonardo we meant, just like you might say, "Jessica from church came by," to clarify that you didn't mean Jessica the ex-girlfriend. Surnames weren't very widely used in Italy then.

It's like "Jesus of Nazareth"; you wouldn't talk about "other OfNazareth's biographies". Ain't grammatical.
by woodson | 2025-10-28 15:47:44+00:00
> I wish Austria had domestic national IT development teams for national products/websites

It (kinda) does: the Bundesrechenzentrum (BRZ, https://www.brz.gv.at/en/). They do a lot of public facing government websites and portals. If you lived in Austria, there’s a good chance that you’ve used at least one of them.
by r_lee | 2025-10-28 15:47:46+00:00
Overall I'd say the easiest is just overall that the models always just follow what you say and transform it into a response. They won't have personal opinions or experiences or anything, although they can fake it. it's all just a median expected response to whatever you say.

And the "agreeability" is not a hallucination, it's simply the path of least resistance, as in, the model can just take information that you said and use that to make a response, not to actually "think" and consider I'd what you even made sense or I'd it's weird or etc.

They almost never say "what do you mean?" to try to seek truth.

This is why I don't understand why some here claim that AGI being already here is some kind of coherent argument. I guess redefining AGI is how we'll reach it
by gwbas1c | 2025-10-28 15:48:13+00:00
I feel like we need a different programming paradigm that's more suited to LLM's strengths; that enables a new kind of application. IE, think of an application that's more analog with higher tolerances of different kinds of user inputs.

A different way to say it. Imagine if programming a computer was more like training a child or a teenager to perform a task that requires a lot of human interaction; and that interaction requires presenting data / making drawings.
by torarnv | 2025-10-28 15:48:18+00:00
I've flown twice with my new AirPods Pro 3, and both times I had this exact experience; high pitched and loud feedback. They were properly cleaned, and had a "good seal" according to the settings wizard.

Glad to see I'm not the only one at least, and hopefully this will be possible to fix as a software update, rather than having to replace the AirPods.
by georgefrowny | 2025-10-28 15:48:21+00:00
It's the same argument they make for why we don't need food safety rules. Intelligent and rational people will be able to work out that the cheap carcinogenic additive is bad and therefore won't buy it and the company will do better and it's just fine. Right? Right? If they don't they're probably too stupid and probably poor and only have themselves to blame. It's just business.

Never mind that the the exact same kind of people are simultaneous lobbying for the elimination of (quote) "unjustified trade restrictions or commercial requirements, such as labeling, that affect new technologies, including biotechnology" (https://www.law.cornell.edu/uscode/text/19/4201)
by aeternum | 2025-10-28 15:48:56+00:00
I'm going back to the Airpods Pro 2.

Pro 3 is a step backwards, there are these ANC noise issues not only on flights but also during heal-strikes when running down a hill, a staticky thump rather than high-pitched.

I've also had other more rare feedback issues. The Pro2s basically never had feedback issues unless you actually rubbed the outside of them.
by dragonwriter | 2025-10-28 15:49:29+00:00
> I can't find a source (including 15 U.S.C. § 260a) that supports this reading

From 15 USD § 260a, right after laying out the baseline rule for advancing standard time: “... however, (1) any State that lies entirely within one time zone may by law exempt itself from the provisions of this subsection providing for the advancement of time, but only if that law provides that the entire State (including all political subdivisions thereof) shall observe the standard time otherwise applicable during that period, and (2) any State with parts thereof in more than one time zone may by law exempt either the entire State as provided in (1) or may exempt the entire area of the State lying within any time zone.”

There are places that are exempt from the legal rule advancing standard time, hence, in those places, standard time does not advance.
by bluGill | 2025-10-28 15:49:36+00:00
> Like for example Austria has a national highway company(ASFINAG) and national railway company(OEBB)

Since only the government is doing these, there is no real gain from outsourcing - either way you pay the full costs (it need not be that way, but that is how it typically is). For IT lots of others also need that work and so you can share the overhead costs if you outsource.
by toomuchtodo | 2025-10-28 15:49:40+00:00
Never meet your heroes. People are just people, they are imperfect to various degrees. Wealth doesn't change you, it amplifies who you already are. When someone shows you who they are, believe them the first time.

(own several Teslas, early Tesla investor, we win or we learn, I will not spend another dollar with Tesla until he has no control of or economic exposure to the org)
Show HN: Research Hacker News, ArXiv & Google with Hierarchical Bayesian Models
by kianN | 2025-10-28 15:49:51+00:00
Hi Hacker News! I’m a Bayesian statistician that has been working on applying hierarchical mixture models (originally developed for genomics) to structure text data, and in the process, used these models to build (what started as a personal) tool for conducting literature reviews and deep research.

My literature review process starts with a broad search to find a few key papers/groups, and from there expands along their citation networks. I needed to conduct a few rounds of literature reviews during the course of my research and decided to build a tool to facilitate this process. The tool started as an experimental wrapper over low-level statistical software in C, quickly became a testing/iteration ground for our api, and is now my personal go-to for lit reviews.

The tool organizes corpuses of text content, visualizes the high level themes, and enables me to pull up relevant excerpts. Unlike LLMs, this model transparently organizes the data and can train from scratch quickly on small datasets to learn custom hierarchical taxonomies. My favorite part of the tool is the citation network integration: any research paper it pulls up has a button “Citation Network Deep Dive” that pulls every paper that cites or is cited by the original paper, and organizes it for further exploration.

I initially built this tool for academic research, but ended up extending it to support Hacker News to mine technical conversation, the top 200 Google results, and earnings transcripts. We have a gallery of ready to explore results on the homepage. If you are kicking off a custom deep dive, it takes about 1-5 minutes for academic search, 3-7 minutes for Hacker News, and 5-10 minutes for Google. To demonstrate the process, I put together a video walkthrough of a short literature review I conducted on AI hallucinations: https://www.youtube.com/watch?v=OUmDPAcK6Ns

I host this tool on my company’s website, free for personal use. I’d love to know if the HN community finds it useful (or to hear what breaks)!
by alexjplant | 2025-10-28 15:49:52+00:00
I've not noticed them feeding back while listening but it happens whenever I put them in the case together for a split second. I also get a drop-out every time I walk past certain spots in my apartment building hallway because of what I'm guessing are ultrasonic sensors on fragrance dispensers or light fixtures. Definitely buggier than the previous version but the improvements in sonic accuracy and noise cancellation are well worth the inconvenience IMO.
by embedding-shape | 2025-10-28 15:49:55+00:00
> The articles in Grokipedia indicate that they have undergone fact-checking by the Grok model.[3] Visitors to Grokipedia cannot make edits, though they can suggest edits via a pop-up form for reporting wrong information.[5] Musk positioned Grokipedia as an alternative to Wikipedia that would "purge out the propaganda" in the latter.[1] Articles have been described as manipulated to promote right-wing perspectives and Elon Musk's views,[4][7] medical misinformation,[7] and for removing content disfavored by Musk.[8][9] - https://en.wikipedia.org/wiki/Grokipedia

Seems like a great platform, here's to hoping it costs a lot to run and doesn't influence too many humans to drink bleach.
by heroprotagonist | 2025-10-28 15:50:04+00:00
There was an ulterior motive and the impact was deliberate.

Further down the article:

> O'Neal was brought in by Bezos this summer after the corporate titan tore up his paper's opinion section.

> Bezos said he wanted a tight focus on two priorities: personal liberties and free markets. The top opinion page editor resigned. A raft of prominent columnists and contributors resigned or departed as well. Some were let go.
by IAmBroom | 2025-10-28 15:50:49+00:00
> It is now more accepted as a legitimate encyclopedia

To be fair, it is easily 10x better as a source than any encyclopedia, even disregarding the scope and quantity of entries.

I loved Encyclopedia Britannica, and probably read the set in its entirety as a kid (nonsequentially), but it was like learning biology from Disney specials. Wikipedia is often updated and corrected by multiple experts, and importantly includes biblio endnotes. The latter alone sets it far above mere encyclopedias.

I remember an early advertisement for EB, masquerading as a research article that compared EB and WP. They found that while WP contained a bit more articles, EB was a bit more accurate (in their totally unbiased sampling). They did not mention that WP was growing exponentially at the time, while EB was not, nor did they mention that WP was continuously updated with corrections, while EB was effectively never ever updated (users bought a static copy).
by mapontosevenths | 2025-10-28 15:51:05+00:00
> This is a style of internet humor that went out of fashion about 10 years ago.

You know what else has happened in the last 10 years? People got stupid.

Between 2017 and 2023, the percentage of U.S. adults at the lowest levels of illiteracy increased from 19% to 28%. Some studies show that the US's peak literacy was around 2015 and has been decreasing ever since.
by donatj | 2025-10-28 15:51:12+00:00
Early this year I started redoing the backbone of my home network with 10 gb. Some of it's fiber, some of it's 10 gb copper Ethernet. It's been genuinely frustrating the weird incompatibilities between switches and SFP+ modules.

All my switches are MikroTik. My SFP+ modules are MikroTik, Ubiquiti, and some 3rd party ones from before I knew better.

I've had modules that will only run at gigabit in one switch but will give me the full 10 gb in another. I've had modules that refuse to work in one MikroTik switch but will happily work in a different MikroTik switch. I've just had a world of pain.

I've got everything basically working after months of fiddling and I'm inclined to just not… touch… anything.
by aurintex | 2025-10-28 15:51:38+00:00
This is really interesting. As a new Zed user, I've read about GPUI, but have no insights.

Coming from years of working with Qt, I'm always fascinated by the search for the "holy grail" of GUI libs. It's surprising how elusive a true "write-once-run-everywhere" solution (that's also good) still is.

My main question is about your long-term, cross-platform vision: How are you thinking about the matrix of Desktop, Web, and Embedded systems? Qt (for all its baggage) made a real run at desktop/embedded. Do you see GPUI components eventually covering all three, or is the focus purely on desktop/web for now?
by delichon | 2025-10-28 15:52:03+00:00
Robert W. Malone sounds like an accomplished scientist in Grokipedia and a fraud in Wikipedia. For the ground truth I might start by reading both and asking an LLM for the diff.

Interesting that Grok in Fast mode says that the Wikipedia version is more neutral, but Expert mode says that about the Grokipedia version.

Now that you can cheaply insert a new ideological lens and generate a new version of Wikipedia, I expect to see lots of them. But it seems more sensible to just have the alternative LLMs generate alternative articles on demand rather than materializing the whole thing.
by yohbho | 2025-10-28 15:52:54+00:00
LLMs read

> users[2]{id,name,role}: 1,Alice,admin 2,Bob,user

differently than me, i guess. I would read that as "at index value of two, i.e. the third element of an array, the values 1aliceadmin and 2bobuser are stored, or not, since we want to destructure these values and a pair value of a tuple of three is given. and would be confused and think wtf is that, dear user, did you omit or misformat values?
by RajT88 | 2025-10-28 15:52:56+00:00
61% of people according to Pew research center think that guns are too easy to obtain. That includes some conservatives/republicans.

The group of people least likely to think guns are too easy to obtain are firearm owners, but even so 38% of them think it's too easy. 34% of Republican/Republican leaning people think it's too easy.

What we can say is most people think it's too easy to obtain firearms. And yet - the issue persists. I'm not trying to make it a partisan issue, I'm suggesting it's (as I wrote) an emergent property of our political system. Majorities can't get laws changed for various reasons.

Source:

https://www.pewresearch.org/short-reads/2024/07/24/key-facts...
by overfeed | 2025-10-28 15:53:15+00:00
> It's not ironic that separate people (jiggawatts and US/UK nationalists) hold separate beliefs

You are correct, but I never claimed that as the source of irony. To set the stage, we have English-speaking nationalists (your term) who obliviously benefit from the rest of the world getting on board the English train at the detriment of their own languages[1] (never mind the circumstances). If we were to accept the language-Darwinism perspective at face value, watching the winning side being salty about (the effects of) winning is incredibly ironic to me.

> I doubt you have the same contempt for all people who want to maintain their own culture.

Merely observing an ironic situation doesn't mean I have contempt for any group of people. You feel very strongly about the subject and are reading into way more than what I actually wrote.

1. The French language board tries to fight a good fight against Angloisms, but it's a losing battle. Other languages have no structures holding them up, and lose dozens to hundred of words per year. English media is pervasive and incessant.
Ask HN: How much money did you get from the Facebook privacy settlement?
by underlipton | 2025-10-28 15:53:17+00:00
About $38 myself. ChatGPT gives an estimate of about $250 made off tracking my browsing activity between 2007 and 2022, so pretty sweet margins in the "violating privacy rights" enterprise. /s

How can we expect companies to respect consumer rights when they only get a slap on the wrist for violating them?
by kianN | 2025-10-28 15:53:25+00:00
Some statistical notes for those interested:

Under the hood, this model resembles LDA, but replaces its Dirichlet priors with Pitman–Yor Processes (PYPs), which better capture the power-law behavior of word distributions. It also supports arbitrary hierarchical priors, allowing metadata-aware modeling.

For example, in an earnings-transcript corpus, a typical LDA might have a flat structure: Prior → Document

Our model instead uses a hierarchical graph: Uniform Prior → Global Topics → Ticker → Quarter → Paragraph

This hierarchical structure, combined with the PYP statistics, consistently yields more coherent and fine-grained topic structures than standard LDA does. There’s also a “fast mode” that collapses some hierarchy levels for quicker runs; it’s a handy option if you’re curious to see the impact hierarchy has on the model results (or in a rush).
by jakeydus | 2025-10-28 15:53:37+00:00
I made the switch to Ubiquiti from TP Link last year. 1000% worth it. The "Just Works (tm)" thing is true, but the ceiling of what you can do with it is so much higher. I'll also say that the Unifi nerds out there are legion and you can find support and comment threads all over the place for pretty much any project you want to do.
by deeg | 2025-10-28 15:53:40+00:00
Back when he first came out with his hyperloop plan I thought this guy was a genius who could do no wrong. The CEO of my small company at the time was recruited personally by musk to work for him at Tesla and I thought he was so lucky.

Then Musk's pedo accusation came out and it was all downhill from there. My ex CEO lasted a year which was puzzling at the time but completely understandable now.

Like you I think Musk should be serving time for fraud, among other things
by politician | 2025-10-28 15:54:09+00:00
If your point is that corporate lawyers tend to see monsters behind every blade of grass, I agree. This is what they are paid to do. If I am a cavalier, it is to calm this community, to point out that they are over-indexed on this language and that it is the courts jurisdiction to decide what is meant.

There is no language that will magically prevent a government from canceling a grant and requiring a grantee to pursue relief from the court. This type of guarantee does not exist.