MurphyA/hacker-news huggingface dataset:
by SanjayMehta | 2026-02-26 13:30:38+00:00
Book Club with Jeffrey Sachs

Hackaday Podcast

EconTalk w/Russ Roberts

The Jay Martin Show

Unherd with Freddie Sayers

The Winston Marshall Show

The Chris Hedges Report

And a couple of watch nerd shows on YouTube:

Teddy Baldassare

This Watch, That Watch
by epiccoleman | 2026-02-26 13:30:53+00:00
The ones that feel the most like they "get me" are probably Weird Studies and Very Bad Wizards. I'm a fan of Sam Harris's Making Sense podcast too.

When I want to dip into political news, I trust the Fifth Column guys to have fairly measured and reasonable takes with a vaguely libertarian bent. I have a handful of other political shows too from various perspectives of the aisle that I'll sometimes tune into when something big seems to be happening, but I generally don't consume much politics.

Also, I'd be remiss not to mention the excellent Knifepoint Horror, whose creator has been delivering exemplary horror short fiction of a very particular style for over a decade now. I always listen to those basically immediately after they come out.
by Fervicus | 2026-02-26 13:31:09+00:00
Did you even read the article and tried going through the process? Suggesting the user to download the app is front and center and the link to apply online is tucked away in a link at the bottom. Not great, but fine, I'll live with that. But that's not the end is it? The user clicks continue online application, then why does it still give you another screen nudging you towards using the app? Making users feel like they are doing something wrong by not using the app.
by jacekschae | 2026-02-26 13:31:35+00:00
Hey HN — I'm Jacek. I've been teaching Clojure through video courses (Reagent, Re-frame, Reitit, Datomic, Pedestal) for a few years, hosted on Podia.

I finally got around to building my own platform. It's Clojure on the backend, self-hosted, and gave me the chance to drop prices significantly since there's no platform cut anymore.

The migration from Podia is complete — all user accounts, subscriptions, and purchases carried over. Existing subscribers had their prices automatically lowered.

Happy to talk about the stack, the migration process, or the courses themselves.
by kashyapc | 2026-02-26 13:31:50+00:00
> Everyone is actually underestimating stickiness. The near billion users OpenAI has is actually a real moat and might translate into decent chunk of revenue.

Maybe you're overestimating their "moat" and stickiness. The dust is still settling on this madness and "OpenAI"[1] creates a lot of noise in the market.

These LLMs are being rapidly commoditized, very soon they will become as "boring" as virtual machines or containers. Altman has the exceptional skill to dupe people into giving their money to him. The "infinite money glitch" that he has been exploiting isn't really infinite.

I just hope there'll be a breakthrough with truly transparent LLMs that will stabilize this madness. As I've griped[2] two years ago, I find OpenAI too scummy, and it is unlikely that they will "win" with their sleazy ways.

[1] Air quotes because of their persistent abuse of the word "open"

[2] https://news.ycombinator.com/item?id=40425735
by clarionbell | 2026-02-26 13:31:55+00:00
You could make similar site about much of Europe to be honest.

It seems to me that there is a fundamental disconnect, between what society needs to function and what some societies are willing to tolerate. Almost everything we take for granted, like potable water, air conditioning, personal computers or long distance transportation, relies on industries generating some sort of externalities.

Regulating these industries is necessary. But we have reached the point, where the regulation makes many of them almost impossible. This has several effects.

First, the society is now dependent on delivery of these dirty products. This is obviously problematic if there is a major crisis that disrupts supply chains, or if those who manufacture them are no longer willing to deliver.

Second, working class collapses. Manufacturing jobs are one of the more stable available. They are generally unionized, or are conductive to unionization. This is unlike service sector jobs. White collar professions can mostly cope. But those who were already disadvantaged find themselves in an even worse position.

Third, the externalities move in locations with less oversight. This can, obviously, cause greater pollution and environmental degradation globally. Further, delivery of the manufactured goods across great distances adds to carbon footprint. This, again, leads to greater environmental toll.

Taken together, benefits of overregulating "polluting" industry to oblivion, are at best local and temporary.

I would also like to note, that the collapse of manufacturing jobs can be easily linked to increased political radicalization.

That being said, it's not all gloom and doom. I firmly believe, that as the impacts of this approach are felt more and more, there will be a push for sensible deregulation. Europe is already leading the way, weakening or delaying some of the more absurd regulation schemes.[1]

[1] https://www.reuters.com/sustainability/boards-policy-regulat...
by coldtea | 2026-02-26 13:32:11+00:00
In general public benefit corporations and non-profits should have a very modest salary cap for everybody involved and specific public-benefit legally binding mission statements.

Anybody involved should also be prohibited from starting a private company using their IP and catering to the same domain for 5-10 years after they leave.

Non-profits where the CEO makes millions or billions are a joke.

And if e.g. your mission is to build an open browser, being paid by a for-profit to change its behavior (e.g. make theirs the default search engine) should be prohibited too.
by Terretta | 2026-02-26 13:32:21+00:00
At scale, distributed API routing shouldn't call accounting transactions, that expands the availability risk surface and adds latency to all valid requests for no reason (other than helping the minority of companies/users who want their product to stop working when it is popular).

Distributed “shared nothing” API handling should make usage available to accounting, and the API handling orchestrator should have a hook that allows accounting to revoke or flag a key.

This gets the accounting transactions and key availability management out of the request handling.
by AdamN | 2026-02-26 13:32:28+00:00
I don't think they have a billion active users who opted-in. Google/Apple/Microsoft are the gatekeepers (for the most part) for retail users and they decide who is on by default. The USG isn't going to step-in and the EU won't step in either.

So I suspect that Google will lean into Gemini, Microsoft will lean into OpenAI, and Apple ... it's a tough question what they do in the longer term.

For business users it's a different story and I see room for Anthropic to shine. And then there are the specialty AI services but those are all different markets from the general purpose AI.
by duxup | 2026-02-26 13:32:29+00:00
I think because you get the disjointed Idiocracy Carl's Junior interaction: https://www.youtube.com/watch?v=5d7SaO0JAHk

As it is when I go to some fast food places they greet you in one voice (possibly a central ordering system) and you get a second voice that interrupts (local people I suspect) and takes over. It's weird.
by Fricken | 2026-02-26 13:32:30+00:00
We've seen throughout history over and over that if one builds or invents something powerful, valuable or desirable it gets coopted by thugs.

Therefore one don't save humanity by building powerful things, one hurts it, compromises it, puts it in bondage, and puts it at risk.

It's so easy to handwave history away when said powerful thing is not yet monstrous, but everybody in the back of their mind knows: Should they succeed in building monstrous thing, it will be monstrous.

By the time thing is recognizeably monstrous it's too late. And deep down we all know that. It's part of the allure.

Google's founders were always all about building the big AI in the sky.
by hansmayer | 2026-02-26 13:32:35+00:00
> If they're "shoveling this crap down our throats" why should we expect them to help here?

No no no - they are not supposed "to help". They own this complete timeline of LLMs. Dario Amodei said several times over that the agents will be writing ALL CODE in 6 months. We are now at least one month into his latest instance of this promise. He also babbled a lot about "PhD" level intelligence, just like the other ghoul at that other company. THEY are the ones who promote the supposed superintelligence creeping up on us closer each day. Whatever benchmarks they always push out with new release. But we should cut them some slack, accept that we are stupid for not wanting to burn our brains in multihour sessions with LLMs and just try to figure it out? We should not accept explaining it away as merely some cheap "hype". These people are not some C-list celebrities. They are billionaire CEOs, running companies supposedly worth into high hundreds of billions of dollars, making huge market influencing statements. I expect those statements to be true. Because if they are not, and they are smart people and will know if they are pushing out untruths on purpose, well that's just criminal behaviour. Now tell me more about how "we" should figure it out.

> A hill I will happily die on is that LLM tools, including coding agents, are deceptively difficult to use. If you accepted that was true yourself, maybe you would be able to get better results out of them.

:) No mate, please drop that "getting good results" nonsense. I have been getting good results too if I babysit them, and for the record, have done a bit more with them than just various model use cases. The issue for me and a lot of other people, that with a lot of care and safeguarding and attention etc, yes you can even build something to deploy in production - and myself and my team have done so - however it is so that they are not worth all the babysitting and especially the immense mental fatigue that comes out of working with them in continuity over a longer time span. At the end of the day, for complex projects its actually faster if I shortcircuit my thinking machine to my code-writing executors and skip the natural language bollocks altogether (save for the original spec). Using LLMs is like putting additional friction in between my brain and my hands.
by nayroclade | 2026-02-26 13:32:36+00:00
Firstly, an auto paint shop is not the same as an auto manufacturing plant.

Secondly, it says you can't permit a new auto paint shop in CA, but it specifically mentions the Bay Area AQMD as the reason. But, as its name implies, the Bay Area AQMD only regulates within the San Francisco Bay Area. It is only one of 35 air districts in California: https://en.wikipedia.org/wiki/List_of_California_air_distric...

So, it is impossible to permit a new auto paint shop in all of these districts, or just the bay area? Because those are very different. It also labels starting a new paint shop as "impossible", but then says it's "nearly impossible". So is it actually impossible, or just nearly impossible?
by leejo | 2026-02-26 13:32:53+00:00
> I've read the issue is that some countries require you to renounce your previous nationality to get citizenship, and people have taken advantage of not needing a British passport by lying about renouncing their British citizenship.

Oh that's an interesting little loophole that might be a[nother] reason. A handful of EU member states disallow dual citizenship, so those taking advantage of "EU and British" might be impacted by this.
by nicole_express | 2026-02-26 13:32:54+00:00
> You can sum this up with: Producing stuff without polluting the environment in most cases is impossible. Reducing the pollution costs a lot of money, and can make your product non-competitive.

I mean, the true reason here seems to be that producing stuff without polluting is impossible if you have to compete with stuff produced with lesser pollution standards.

In theory, this could be an argument for heavy import tariffs from countries with lesser pollution standards. The downside, of course, is that at the end of the day this would still mean "stuff is more expensive, maybe a lot more", which is obviously unpopular as it means fewer people can get the stuff. (And of course, a US state's ability to restrict trade with other US states is extremely limited)
by geocar | 2026-02-26 13:33:09+00:00
> No need to be a dick.

But there was a need for you to characterise me so?

> So what problem is this solving?

What makes you ask me that instead of reading the website and papers for yourself? Do you think I could possibly know enough about the kinds of other problems you have from the example one that makes you call me names?

I mean, did you read even the first page of the paper I suggested? Were you confused by anything in the first paragraph? Do you know what System-F means in that context? Did you do an Internet search? Anything? Anything at all you could say you got stuck on that you didn't understand? Or did you somehow get the impression I should spoon-feed you?

Why do you waste anyones time with this?
by yyusufaslan | 2026-02-26 13:33:12+00:00
Under the hood it uses runtime bytecode instrumentation with dynamic attach to avoid restarts.

The main trade-off was balancing per-method granularity with minimal overhead. I chose to surface execution time, call count, and allocations since those tend to answer most “what should I optimize?” questions during development.

Curious what metrics others find most useful in day-to-day profiling.
by anon84873628 | 2026-02-26 13:33:39+00:00
It's an idyllic dream, as long as you don't need to make money!

No one who touches beans makes money. Only the largest multinational traders and cafes. The money from the specialty coffee chain goes to landlords, shipping companies, and equipment manufacturers.

Of course you'll need to live in the tropics too.

For learning about coffee production, the podcast "Making Coffees" by Lucia Solis is excellent (and industry award winning).
by xtiansimon | 2026-02-26 13:33:49+00:00
> "The imagery of 1969, I remember it well. The Vietnam war was the first war that was televised. Everyone would watch the nightly news at 6:30 pm (take my word for it) and hear the choppers, gunfire and real life screams of people."

Slightly off-topic--

Before my time, but my professor* recalled to our class his experience watching a _live_ news report from Vietnam. Something shocking happened during the broadcast. As a visual-media scholar he contacted the station to obtain a copy. No go. He remarked how he never saw that footage ever again (at that time it would have been over 15 years ago). In our modern digital age it's difficult to imagine anything going live to the nation, and then disappearing.

* (Charles Chess, Introduction to Film, SJSU, c1992)
by entrustai | 2026-02-26 13:34:41+00:00
Hey HN — builder here.

The problem: Regulated industries (legal, medical, financial) are moving past the "sandbox" phase and deploying LLMs into production. But LLMs are probabilistic—the same prompt can produce different output every time. You cannot audit a probability distribution. If your AI gives a different answer to two different customers, your compliance team can’t defend it.

What The Pilcrow does: It is a deterministic gate at the end of your AI pipeline. It runs every output through a rule engine before it reaches the customer.

The "No-AI" Rule: One of the biggest complaints I hear from engineers is the "hallucination stack"—using an LLM to check another LLM. It’s just layering one black box on top of another. The Pilcrow contains zero AI. It is a pure logic engine using regex, counters, and string matching. Identical input always produces an identical RELEASE or REJECT verdict. Every run is reproducible and defensible in court.

Technical Architecture:
Protocol Contracts: Rules are defined in versioned JSON files. Legal/Compliance signs off on the JSON; the machine enforces it identically across every instance.

The Compliance Moat: Every verdict is signed with HMAC-SHA256, binding the workspace ID, verdict, protocol version, and timestamp into a single audit token. It turns a linter into a defensible compliance ledger.

Zero-Retention (Privacy): We process payloads purely in memory. Text is analyzed and immediately discarded. We never write PII/PHI to disk; we only log metadata.

Enterprise SSO: Authentication is handled via WorkOS — users sign in with Google, Microsoft, GitHub, or Apple and land directly in their provisioned workspace. No password management, no manual key distribution.

Self-Healing SDKs: We’ve released Python and Node.js SDKs. You can wrap your LLM calls in 3 lines of code, and the SDK handles REJECT verdicts by auto-retrying the model with context-aware repair guidance from the linter.

The Demo:
You can play with the linter live at https://app.entrustai.co (runs against our public API, no signup required).

Links:
Early Access: entrustai.co/pilcrow
Python SDK: pypi.org/project/pilcrow
Node.js SDK: npmjs.com/package/@entrustai/pilcrow
API docs: https://pilcrow.entrustai.co/docs
OpenAPI spec: https://pilcrow.entrustai.co/openapi.yaml

Building in the GRC space or evaluating AI compliance tooling?
Reach me at contact@entrustai.co.

I’m around to answer any questions about the engine, the signature logic, or the challenges of deterministic linting!
by ndriscoll | 2026-02-26 13:34:57+00:00
Sure, if you treat all other things as impossible to tweak except the thing you want to argue is the problem, I guess. But taking a quick look at the city budget, I see they spent $200M on overtime for police. So there's a place where they could save like $70M with no change to service with correct staffing? I'm sure there are other places where they are not currently 100% efficient. Or, since they have ~4M residents in the city, they could raise taxes by $250/person-year. That doesn't sound unsustainable to me. Certainly not a "suburbs are a fundamentally broken model" level problem.

Lots of suburban cities in the US are really nice, well run places. LA even as an example of a poorly run area doesn't actually seem to be in much of a financial pickle.
by gtk40 | 2026-02-26 13:35:04+00:00
Granted, there are good podcasts, but I've switched my listening time (mostly commute for in office once a week) to audiobooks. I find books to be much more consistently high quality content, regardless of the source. There are bad books, but the quality tends to be higher than podcasts. I mostly get audiobooks through my library, but I also sometimes listen through Spotify.
Show HN: VibeBar – macOS Menu Bar Monitor for Claude Code, Codex and OpenCode
by yelog | 2026-02-26 13:35:07+00:00
I've been running multiple AI coding sessions in parallel and kept losing track of which one was thinking, which one was waiting for my input, and which one had quietly
finished. Alt-tabbing through terminals every 30 seconds got old fast.

VibeBar is a lightweight macOS menu bar app that solves this. It shows real-time session states (running / awaiting_input / idle / stopped) for Claude Code, Codex, and
OpenCode without you leaving your current window.

How it works

Rather than relying on a single detection method, it uses three data channels and merges them:

1. PTY wrapper (vibebar): wraps the CLI in a pseudo-terminal and monitors output patterns to infer interaction state with high fidelity.
2. Plugin events (vibebar-agent): a local Unix socket server that receives lifecycle events from dedicated hooks in Claude Code and OpenCode.
3. Process scanner: a fallback that runs ps to detect running tool processes when the stronger channels aren't available.

State priority when channels conflict: running > awaiting_input > idle > stopped > unknown.

Honest caveats

- Without the plugin, awaiting-input detection uses regex heuristics on terminal output — it works but isn't perfect.
- Codex has no plugin event channel yet, so it relies on the PTY wrapper or process scanner.
- Automated test coverage is still thin.
- macOS 13+ only.

Built in Swift 6.2 with strict concurrency. The menu bar icon has four styles (Ring, Particles, Energy Bar, Ice Grid) and supports English, 中文, 日本語, 한국어.

Source and releases: https://github.com/yelog/VibeBar

Happy to answer questions about the PTY/plugin architecture or the Swift implementation.
by tarasyarema | 2026-02-26 13:35:18+00:00
Thanks! In fact yes, initially when we built this openclaw was not there yet. And after trying it was clear that I could adapt swarm to have a similar approach. I believe the self improvements part is really key.

Today I did the audio note test, it literally installed all needed and adapted its memory to use that whenever I send followup audio notes from Slack :D
by Nursie | 2026-02-26 13:35:21+00:00
On the one hand, I'm sure that the post you're responding to is referencing many previous failed attempts at making non-addictive opioid painkillers.

But on the other, non-sarcastic side... if addiction is the only remaining problem with them, should we care that much?

I.E. if both the chronic and acute health risks are gone (which I don't think they are for a second, but follow me along on this little thought experiment)... does it matter quite so much? Clearly addiction, in the abstract, is not exactly a good thing. But if it's not coupled to risk of death it seems to me it would be a great thing to transition addicted people to, and take away some of the urgency of the situation.
by ReptileMan | 2026-02-26 13:35:37+00:00
>. That’s roughly 28 to 35 litres per 100 km, or around 30 litres per hour at cruise speed. This is not a misprint. A truck burns in an hour what a small car burns in a week.

Let me paraphrase - a truck weighting 25 times more than a car burns only 4 times as much fuel per 100km at corresponding cruising speeds.

> At 0.25 kWh/kg, that’s still about 6.4 tonnes of battery — roughly 18 times heavier than the 350 kg diesel tank and fuel it replaces, and 6.4 tonnes of payload that disappears from every trip.

And how many tonnes of internal combustion engine, gearboxes and plumbing? It is not an insignificant matter
Show HN: RSSPub – A self-hosted Rust app to turn RSS feeds into a daily ePub
by hsmetric181 | 2026-02-26 13:35:43+00:00
This is a simple web application for personal use that some of you might find useful. It's essentially a serverless version of Calibre's "Fetch News" feature, designed to run on free/hobby server tiers.(Koyeb/Render etc).

It compiles the last 24 hours of your chosen RSS feed articles into a single ebook.
Users can download ebooks either via OPDS or send to ereader via email method.
by instig007 | 2026-02-26 13:35:47+00:00
> Ignoring it costs more later, but later is someone else's problem.

and then the blame could be shifted to the future generations, it's their incompetence after all.

> Correctness wins when the cost of ignoring it becomes impossible to miss: an outage, a customer complaint, data loss. Until then, comfort wins every time.

Those who tolerate comfort-winning aren't engineers and shouldn't be admitted to stand close to engineering systems overall, especially outside the software industry.
by close04 | 2026-02-26 13:35:48+00:00
> Yep, grab a sleeping bag or take your clothes off and use evaporation cooling on yourself.

Talking about driver education, refrigerated trucks never get to turn off the engine until they unload the cargo. So it's not always for comfort.

> if you can readily stop somewhere for a safe place to sleep

That's the missing infrastructure. Drivers pull over to sleep when they hit their daily driving limit and in Europe most of the places to pull over are plain old parking lots maybe with some services like a gas station. Motels are relatively uncommon.
by zelphirkalt | 2026-02-26 13:35:58+00:00
I like, that one can define macros in LyX. For example I wrote a simple macro that looks like "paren(thing)" which is then translated to "\left(" thing "\right)". This makes it much easier to write formulas, because I don't have to keep track of parens at all. LyX in this way makes it more convenient to write TeX/LaTeX.