MurphyA/hacker-news huggingface dataset:
by georgemcbay | 2026-02-25 23:58:52+00:00
> This has 70 upvotes within 30 minutes. This feels like an astroturf.

Not really surprising given the audience, HN has an awful lot of neo-Technolibertarian types.

The kind who used to complain about government regulation of free speech, and now complain about anything that gets in the way of amassing massive amounts of capital at any social/environmental/political cost.
by philwelch | 2026-02-25 23:59:03+00:00
“Viking” isn’t a matter of heredity though. If your grandfather was a bricklayer, you’re not a bricklayer as a matter of heredity, you have to actually lay bricks. Likewise, if your grandfather was a viking, you have to actually go raiding and pillaging to be one yourself. Which is not something you’re likely to do if the king of France gave your grandfather an entire duchy in exchange for a promise to stop doing that sort of thing.
by 3abiton | 2026-02-25 23:59:04+00:00
While you're right as in, it's nothing new given a trail of info, here they didn't need to do classical feature engineering, but purely LLM (agentic) flow. But yes, given how much information is self exposed online I am not surprised this is made easier with LLMs. But the interesting application is identifying users with multiple usernames on HN or reddit.
by no-dr-onboard | 2026-02-25 23:59:07+00:00
“Yes you can” misses the point.

But you’ll incur heavy taxes, huge COB increases, tightening regulatory scrutiny and all for nothing compared to being just one or two states over. It’s has been one economically and morally disadvantageous to do manufacturing in California due to hypernanny regulation. What’s worse is that generational and heritage firms that have lived in California for 50+ years are effectively put out of business because of these policies… and that’s just at the national level. No one has even mentioned how CA based businesses can’t compete with China.

I get what you’re protective over though. We all like clean air and streams. No one is voting for more superfund sites. We can agree on that.

Your response seems to either woefully uninformed or bad faith. I’m assuming the former.
by mint5 | 2026-02-25 23:59:12+00:00
Oh I didn’t realize pineapple farms were banned in California and Alaska.

I thought they hadn’t been built for other reasons over the last decade. But according to this, not being built means banned. TIL!

Started reading this site but the massive gaps in logic and reasoning are like nails on a chalkboard.

No new fabs being built in CA means fabs are banned?!

Okay well fans are banned in pretty much the whole country then, so why call out California?

Just because something isn’t done doesn’t mean it’s banned. Neither is it necessarily bad. There’s a lot of reasons why not to build certain things certain areas - labor cost, earthquake risk, land is more desired leading to higher cost, blah blah blah

That doesn’t mean something is banned.
by 2001zhaozhao | 2026-02-25 23:59:36+00:00
I feel like the permanent fix is for the AI labs to figure out better attention methods that increase context length without extra inference cost, plus deeper discounts (like -99%) for people being able to add system prompts to their accounts that are cached permanently.

This way you build all your MCPs into the systme prompt, save the prompt to the AI provider, then use it without overpaying API costs
by DiogenesKynikos | 2026-02-26 00:00:19+00:00
The chronology is clear:

1. Ariel Sharon staged a deliberate provocation by storming the Temple Mount with hundreds of policemen.

2. Palestinians protested, and Israeli forces shot live ammunition at them, killing four Palestinian civilians. Within weeks, riots had broken out and Israel had killed dozens of Palestinian civilians.

Israeli actions were the spark, not some planned Palestinian operation.

The long-term cause of the 2nd Intifada was Israeli refusal to carry out the Oslo Accords in good faith. The Palestinians recognized Israel and agreed to give up the armed struggle for their freedom in exchange for a set process by which Israel would rapidly withdraw from the occupied territories and allow the creation of a Palestinian state. The Israelis repeatedly reneged on that throughout the 1990s, and by 2000, the Palestinians were completely disillusioned with the so-called "Peace Process."
by deepsun | 2026-02-26 00:00:24+00:00
I bet we're about to see reduction of online public communications. Count how many times you had a desire to share your knowledge or correct someone online (aka somebody is WRONG on the internet). People would stop doing that, just to not train some big-corp model using their knowledge. Artists already not happy about that, but there are many other types of expertise people will stop sharing.
by yubainu | 2026-02-26 00:00:29+00:00
Thanks for the precise critique.
You are right: Recall 54% is the "danger zone." In a regulated or production environment, missing half of the structural collapses is functionally equivalent to zero protection. The 88% precision proves the signal exists, but the threshold for "collapse" in latent space is currently too rigid.
The "Geometric approach (SIB) + Rule-based output validation" hybrid you suggested is the most logical path forward.
• Geometric Drift (Layer-Internal): Catches the "process" of losing logical coherence (structural entropy).
• Rule-based (Output-Layer): Catches the "result" of semantic violations (pre-defined constraints).
My next focus is analyzing the "Silent Failures" — the 46% we missed. If the latent space doesn't show geometric collapse but the output is still a hallucination, it suggests the model is confidently drifting into a "parallel" but structurally stable manifold. That's a different failure mode that geometry alone can't catch.
Reproducibility is the only way to move this out of "voodoo AI" territory. Glad the raw_logs.csv helped.
Show HN: Tunejourney.com – A 3D radio globe with in-browser ML to auto-skip talk
by FreeGuessr | 2026-02-26 00:00:41+00:00
Hi HN,
I built TuneJourney.com, a web app that lets you explore ~70k radio stations worldwide via a 3D globe. While sites like Radio Garden are great for discovery, I wanted to build something that functioned more like a modern media player with automation—specifically, the ability to automatically skip a station when it switches from music to talking or ads.

The Unique Part: In-Browser ML
The core feature is an "AI Skip Talk." Instead of processing audio on a server, it uses the Web Audio API to capture the stream locally and runs a lightweight classification model directly in your browser. It estimates the "music vs. speech" probability in near real-time.

If you have the filter enabled, it will automatically trigger a "next" command to hop to another station in your playlist or a random location on the globe the moment a DJ, news segment, or ad starts.

Privacy: No audio data ever leaves your machine; inference is entirely local.

The Tech Stack/Features:
- WebGL + Point Clustering: To render 70,000 stations across 11,000 locations smoothly.
- In-browser Inference: Uses a small model plus stream-level heuristics to handle edge cases.
- Media Key Integration: Full support for physical keyboard and system-level Next/Prev buttons.
- Persistence: Sign-in is available to sync playlists and favorites across devices, but the core explorer works without an account.
- Online activity: You can see in real time other people on the site, where they are on the globe, what they listened to, and what stations they liked.
- Simple games to kill the time as you are listening to stations, like Solitaire, Minesweeper, etc.

The Trade-offs & Challenges:
Running a WebGL globe and real-time audio analysis simultaneously is heavy on the CPU. To handle this, I’ve implemented:
- Automatic performance detection that downgrades visuals on lower-end machines.
- A manual toggle to kill the audio processing if you just want to use the globe as a standard player.
- A talk sensitivity slider for the ML model, so you can tweak it yourself.

What I’d love feedback on:
- Performance: How does your CPU/fan react? Is it manageable? I’m looking for ways to further optimize the client-side ML or perhaps it is okay to bring even heavier models with more accuracy.
- Classification Accuracy: How useful is it? Does it detect talking in most of the cases, or is it sometimes useless? On MacBook it works ok-ish. Ads with music are difficult but when music changes to pure talk, the site does its work and hops to another one.

Let me know what you think! I am interested if this project is worth further investment, building a mobile app, etc.
by pwdisswordfishy | 2026-02-26 00:00:57+00:00
It's a good metaphor, and one could easily substitute "YouTube" into the explanation in really sensitive situations. In less sensitive situations, you might be able to still use "PornHub" so long as you do enough throat-clearing to make it seem like you're not speaking glowingly of it, and YouTube is helpful here, too.

PornHub didn't invent online videos, and the fact that just because someone was talking about watching a video online doesn't mean it wouldn't be really weird for someone else to assume that they meant it was something on PornHub, instead of just an ordinary video on YouTube.
by burkaman | 2026-02-26 00:01:05+00:00
Really difficult to say because it doesn't make many concrete claims. It doesn't mention any regulations or say what chemicals or processes are actually banned. These are not easy things to look up. I can tell you that at least the semiconductor fabrication stuff is false, there are many fabs in California and here's a new one as of a few days ago: https://www.mercurynews.com/2026/02/19/san-jose-tech-nokia-i....

I realize it isn't completed yet but I don't think anyone is buying sites for something that's impossible to build.
by timpieces | 2026-02-26 00:01:28+00:00
Do you know of any free/open-source examples that solve this problem well?

I'm not an expert, but these types of heuristics intuitively seem hard to model. The goal is to guess the user's design intent. There's often no single correct answer, it may require information from parts of the system that the core application's model doesn't have, there may be many heuristics depending on what's being designed.

These heuristics seem like exactly the sort of thing that commercial CAD applications can afford to spend resources on, and that open-source community-driven applications would struggle with.
by _DeadFred_ | 2026-02-26 00:02:03+00:00
Bro you made an account just to post this? We live in a society where the people that push the view you are are unserious ideologues that excuse/hide/ignore the Epstein files among a multitude of actual other real issues, that continue to vote in politicians with numerous scandals more serious than your 'identity definition' bs here. Focus on something actually important like 'the meanie Irish poster hurt my feelie feelz online' like I do. Or all the messed up stuff people who claim to care about/protect society are doing while they distract you with 'but the trans'.
by arjie | 2026-02-26 00:02:31+00:00
Oil refineries in particular are interesting because the sources for the blend of gasoline California requires[0] are either in CA itself or are few and far away. This means that gasoline prices are susceptible to greater supply shocks and so on. Many US regulations follow from California exercising its large market to induce companies to change their policies (electronic one-click cancel, CCPA, No Surprises in healthcare billing) but this one hasn't quite had the same effect.

One can hope that most Californians switch to BEVs from ICE vehicles before this becomes more of a constraint.

Gasoline usage externalities are poorly priced-in so the resulting increase in cost of gasoline here is probably overall a good thing. If we had appropriate carbon/sulphur/etc pricing on the outputs, I think it would be less justifiable since then the externalities would be priced in.

0: https://www.eia.gov/todayinenergy/detail.php?id=65184
by ryanobjc | 2026-02-26 00:02:34+00:00
That's the thing, often when people say stuff like "its banned" what they really mean is:

- the cost of mitigating the human health risk is too high
- competitors in low-environmental regulation places don't pay for those costs
- ongoing verification is expensive

I mean, let's face it, "self-regulation" of industries isn't really working that great. And for things that are health hazards that are basically borne by someone else, why should a local government make it easy to cheat and lie about this stuff?

The people arguing against this seem to assume that their right to have a business, make a profit, whatever, is a self-evident Good Thing, and rarely provide any additional arguments beyond "but the jobs". If they were at the VERY LEAST saying "we can make X safe" then maybe it'd be interesting. But as it is, the argument is basically asking us to mortgage the health and safety.
by prawn | 2026-02-26 00:02:36+00:00
Zoning changes would generally make your property more value as a baseline. Then you could either stay put, or you could elect to move elsewhere while redeveloping your original place. This is common in Australia.

A common zoning change here is based on street frontage for semi-detached homes - the new ones are still 3-4BR, just attached at the garage and with smaller yards. If development required 15m frontage, but then that changed to 12-13m, that would mobilise a lot of owners to take advantage, though obviously others can just stay as is if they prefer.

It usually happens that an $800k lot value becomes $1m, regardless of the state of the house. The owner can then demolish a decades old house, build two places for $600k, sell one as a new home for $800k-1m to finance the build (and costs of moving out during that phase), and end up in a new house themselves. Often they've sacrificed yard that they found annoying to maintain anyway.

The above can be adjusted where it's possible to build 3-4 on a block, or a larger development of apartments.

Zone changes typically allow change, not force it, surely? An owner can just keep their SFH and large yard if they prefer. What they can't always control and often vote against is the composition of their neighbourhood.
by vintagedave | 2026-02-26 00:02:51+00:00
Dave here -- I've tweaked a bunch of the internal rules during the HN discussion today, and your comment now passes (using the default settings.)

As for equivocation, that should be strongly dialed down too. It annoyed me too, it was "mush", and did not help. I hope you'll find the current version a lot more human.

I'm grateful for the feedback! Changing it based on all these comments has been intense over the past couple of hours, but boy is it now significantly improved and I am super grateful to you and other commenters.
by cookiengineer | 2026-02-26 00:02:58+00:00
The person this thread is about publicly outspoke and critized Watkins, 8chan and other forums that promote hate speech. Multiple times, in newspapers and documentaries about the topic(s).

He went in business with the wrong people, and they followed him years after that, with bogus lawsuits, showing up at his door step to intimidate him, threats etc.

Personally, I wanted to say that he was a person that strongly believed in the idea of open debate and cultural exchange. So much so that it was too late for him to see what the Watkins family and their qanon/pol/whatever movement were planning to do with his boards.
by nailer | 2026-02-26 00:03:31+00:00
> Hadar noted the shift appeared to primarily be to avoid triggering adding missing curb ramps (for wheelchair access),

Products from the disability industry are incredibly expensive. In London someone worked out it would have been cheaper to hire a full time human attendant for every person in a wheelchair than to pay for the city’s existing scant coverage ramps. Of you’re in tech , think of the overpriced web browsers supposedly aimed at disabled people from years ago and their “first boil the ocean” approach for web accessibility.
by richardfeynman | 2026-02-26 00:03:46+00:00
People keep repeating that Al-Shifa is not operational. That claim does not match current primary sources.

1) UNICEF (Feb 5, 2026) reports restoration of pediatric intensive care services at Al-Shifa, including 7 PICU beds equipped with ventilators, monitors, and oxygen.
https://www.unicef.org/sop/media/6131/file/Humanitarian%20Si...

2) OCHA (Dec 1, 2025) explicitly lists current service lines at Al-Shifa: 7-bed PICU, pediatric post-op inpatient care, hemodialysis, and emergency care.
https://www.ochaopt.org/content/gaza-humanitarian-response-s...

3) WHO (UN Geneva briefing, Dec 12, 2025) states Al-Shifa was working again as a partially functional tertiary care hospital with many services functional.
https://www.unognewsroom.org/story/en/2946/un-geneva-press-b...

4) ACAPS (Feb 5, 2026) says that by Jan 19 Al-Shifa was receiving around 500 patients daily.
https://www.acaps.org/fileadmin/Data_Product/Main_media/2026...

Operational does not mean intact or well-supplied. It means treating patients and running services. The above sources show it is.
by parl_match | 2026-02-26 00:04:04+00:00
A lot of these are stretches or remove nuance. I get the point they are trying to make, but it's a lot weaker than they think and undermined by their own "hero" example: painting cars in California

> A modern auto paint shop emits volatile organic compounds (VOCs) during primer, base coat, and clear coat application. The Bay Area AQMD makes permitting a new paint shop nearly impossible. This is THE classic example of what you can't do in CA.

Ah yes, the Bay Area, famously "all of California". And on top of that, the restrictions are mostly in highly populated areas.
Solution to the Complaints about Anthropic
by abliterationai | 2026-02-26 00:04:39+00:00
With Anthropic facing criticism for complaining about Chinese companies distilling its models and the Pentagon's use of its AI, there's been a lot of interest in tools that let users control their own models. We developed Abliteration.ai (https://abliteration.ai). Curious what HN thinks about heavy-handed safety policies vs developer-controlled LLMs?
by MidasTools | 2026-02-26 00:04:44+00:00
The category with the most dramatic gains for me: async business operations.

I run a set of AI agents autonomously — they handle email triage, content publishing, competitive monitoring, revenue tracking, and community engagement on a cron schedule. The productivity math isn't "I'm 2x faster at tasks." It's "work that used to require a person's attention 8 hours/day now runs in 2-hour cycles while I'm asleep."

Concrete examples from the past week:
- 9 articles researched, written, and published without me writing a word
- Stripe monitored every 2 hours automatically, escalating only on anomalies
- Email triaged and drafted replies at 7 AM before I open my laptop
- HN threads monitored for relevant discussions, expert responses drafted for my review

The key unlock wasn't a better model. It was persistent memory (so the agent accumulates context over weeks, not just within a session) and explicit escalation rules (so it knows the difference between "handle this" and "wake me up").

What hasn't improved: anything that requires judgment about people. High-stakes client conversations, pricing decisions where context matters, reading between the lines of a difficult email. The agent surfaces these for me — but I still own them.

The productivity boost is real, but it's better described as leverage than speed. The same person can now run more things in parallel, not do any single thing faster.
Show HN: Verity – I got tired of debugging duplicate emails after job restarts
by shineDaPoker | 2026-02-26 00:05:04+00:00
Hey HN,

I built Verity after debugging a production issue where our job platform was sending duplicate emails to tens of thousands of hotel guests.

We were running automated checkout for a chain of hotels across Germany, Spain, and New York. The process had multiple steps: validate reservations, generate folios, check guests out, send receipt emails.

The job would run for 25+ minutes processing thousands of reservations. Sometimes it would time out at 30 minutes. The platform would see the job didn't complete and restart it from the beginning.

The problem: some operations were idempotent through the provider (like creating a folio with the same ID), but others weren't (like sending emails). Guests would get duplicate receipt emails. We'd generate the same reports twice.

It took a week of adding logs to figure out what was happening. The restart was invisible to our code — it just looked like the job was running twice.

I built Verity to solve this: wrap each critical step or side effect so it's safe to restart anywhere:

// Check out guest
await verity.protect(`checkout-${reservationId}`, {
observe: () => hotel.getReservation(reservationId),
act: () => hotel.checkout(reservationId)
});

// Send receipt (not idempotent in the email service)
await verity.protect(`receipt-${reservationId}`, {
observe: () => checkIfEmailSent(reservationId),
act: () => sendReceiptEmail(guest.email, folio)
});

If the job restarts after sending the email but before finishing, the retry checks first (observe) and skips re-sending.

It uses fencing tokens to prevent zombie workers from committing stale results if they wake up after being timed out. Full audit trail of what ran, what was skipped, and why.

The same pattern applies to any system that retries without human oversight — background jobs, workflow engines like Temporal, or AI agents that make autonomous decisions. If your code crashes after calling an external API, the retry needs to know what already succeeded.

Works with Temporal, Trigger.dev, plain job queues, or standalone.

Still early. Looking for people who've hit similar issues to try it and tell me what's wrong. Free for design partners.

Live: https://useverity.io
Docs: https://useverity.io/docs
Install: npm install @verityinc/sdk or pip install verityinc-sdk

Happy to answer questions about the design or share more war stories from that debugging week.
by kllrnohj | 2026-02-26 00:05:25+00:00
> Even the solar panel market is self defeating. Once there is enough installed power the demand will drop off sharply as the refresh cycle is too long. The feedback loop of capitalism means we are likely to reach that point sooner than you would expect.

No we won't. Even if we waved a magic wand and converted the entire planet to solar today, there would still be new installations tomorrow because energy demand is infinite. There's never enough, we've always used more energy as more energy sources were available.
by daurentius523 | 2026-02-26 00:05:34+00:00
You are forgetting about elephant in the room - if every bug require rebuild of downstream then it is not only question of constraint it is also question of SSD cycles - you are effectively destroying someone drive faster. And btrfs actually worsens this problem - because instead of one Copy on Write of library you now have 2n copies of library within 2 copies of different apps. Now (reverting/ø) update will cost you even more writes. It is just waste for no apparent reason - less memory, less disk space.

"compression is insanely effective" - And what about energy? compression will increase CPU use. It will also make everything slower - slower than just plain deduplication. Also, your reason for using worse for user tech is: the user can mitigate in other ways? This strikes me as the same logic as "we don't need to optimize our program/game, users will just buy better hardware" or just plain throwing cost to user - this is not valid solution just downplaying of the argument.