MurphyA/hacker-news huggingface dataset:
by Mars008 | 2026-02-26 17:51:19+00:00
There is more to that, globalization. Now we have 8 billions humans. They are connected to the same infospace (internet) and share much more and more diverse content. Which means a lot more of emotional/interesting/helpful things. While each of them becomes less emotional.

Well, world changes dramatically. Connected old folks are like neanderthals in big city now. However not connected are still living locally in their minds. Youngsters are just accepting the world as it is. Nobody is amused by computers and cameras anymore. (at least in developed areas)

And with all that the worst is yet to come...
by w10-1 | 2026-02-26 17:51:33+00:00
I'm disappointed that they are taking the long way around, with screen shots and visual recognition.

Apple GUI's have underlying accessibility annotations that if surfaced would make UI manipulation easy for LLM's.

"Back in the day" - 1990's - Apple had Virtual User, basically a lisp derivative that reported UI state as S-expressions (like a web DOM) and allowed scripts to manipulate settings and perform UI actions.

With such a curated DOM/model and selective UI inputs, they could manage privacy and safety, opening up LLM control to users who would otherwise never trust a machine.

I hope they're working on that approach and training models for it. It's one way they could distinguish the Apple platform as being more controllable, with safety and permissions built into the subsystems instead of giving the LLM full control over UI input.
by tayo42 | 2026-02-26 17:51:49+00:00
Do people build to impress with an implementation that no one cares about really? Or to share the end product?

I think now you are freed up to make a shooter that people will actually want to play. Or at least attempt it.

We probably need to come to terms with the idea that no one cares about those details. Really, 2 years ago no one would have cared about your hand crafted 3d shooter either I think.
by mcv | 2026-02-26 17:51:53+00:00
> The announcement is surprising, because Anthropic has described itself as the AI company with a “soul.”

I can't help but think about how Google once had "Don't be evil" as their motto.

But the thing with for-profit companies is that when push comes to shove, they will always serve the love of money. I'm just surprised that in an industry churning through trillions, their price is $200 million.
by kvinogradov | 2026-02-26 17:51:55+00:00
Consider this as a nonprofit startup that has just raised a pre-seed round. The current size of $700K is indeed immaterial, as our plan is to scale it significantly in the coming years.

The closest real-world comparable to what we are building is the Wikimedia Endowment, whose former Director is among OSE’s advisors. Like Wikimedia, we aim to be supported not only by large donations but also by contributions from large community — in our case, 150M+ GitHub users.

Our target audience is diverse - from highly successful founders to everyday developers. The Open Source Endowment is prepared to accept donations in both cash and stock from these groups.

While 5% of equity may be too much, 1% seems achievable. I am personally ready to commit 1% of the carried interest from my own VC fund to the endowment.
by mcny | 2026-02-26 17:52:02+00:00
> To each their own,

And that is the gist of the problem, isn't it? As we approach our forties and beyond, chances are we have lived more than half our lives. So do I really want to spend hours watching something I might hate and might leave a bad taste in my mouth? (See game of thrones season 8 or worse, Westworld the HBO series which I don't even want to know what happened in season 3 or 4). I am sure there are people who will enjoy those but for the average person it is highly unlikely.
by overgard | 2026-02-26 17:52:11+00:00
> Focusing on Dario, his exact quote IIRC was "50% of all white collar jobs in 5 years" which is still a ways off, but to check his track record, his prediction on coding was only off by a month or so. If you revisit what he actually said, he didn't really say AI will replace 90% of all coders, as people widely report, he said it will be able to write 90% of all code.

Ugh, people here seem to think that all software is react webapps. There are so many technologies and languages this stuff is not very good at. Web apps are basically low hanging fruit. Dario hasn't predicted anything, and he does not have anyone's interests other than his own in mind when he makes his doomer statements.
Show HN: The best agent orchestrator is a 500-line Markdown file
by bombastic311 | 2026-02-26 17:52:50+00:00
I’ve tried agent teams, subagents, multi-terminal setups, and several open-source orchestration frameworks. This Claude Code skill (~500 lines of Markdown, no framework, no dependencies) has outperformed all of them for my team’s daily workflow.

It turns your session into a dispatcher that fans work out to background workers across any model (Claude, GPT, Gemini, Codex). Workers ask clarifying questions mid-task via filesystem IPC instead of silently failing. Meanwhile, your main session stays lean and focused on orchestration.
by mayama | 2026-02-26 17:52:52+00:00
From my vague memory of xz backdoor, I don't even recall systemd being involved. Now, I get what people are talking about when they said systemd is taking over everything and why there was so much pushback to systemd when it was being added to distros. For me as a end user/dev, it mattered little whether services were started by systemd, openrc etc.
by exmadscientist | 2026-02-26 17:53:13+00:00
It's also very easy to paste a paragraph in to a chatbot and ask it to revise it. Or ask it to write an introduction.

I don't really have a problem with that use of AI.

But one of the costs is reputational: potential readers are now going to assume AI wrote the whole article, fairly or unfairly. That's a consideration writers have to weigh before choosing to do this.
by graemep | 2026-02-26 17:53:15+00:00
Cannot only if the other European country does not allow dual nationality.

If they are permanently settled in the UK surely it would be better to have British citizenship rather than that of a country they do not live in?

The nationalities listed are all very small groups in the UK. maybe they are not really permanently settled? Someone who moves somewhere for work might end up living there a decade (and in the UK that would mean getting indefinite leave to remain) and then returning.
by zdp7 | 2026-02-26 17:53:18+00:00
The site is wrong though. I believe it's more of a it's hard and I shouldn't have to do it. I found a company called statevolt (founded August 2021) that plans to build a lithium ion cell factory the Imperial Valley (Southern California). I did see a press release saying it is delayed, but the company maintains that it plans on building it. On the banned website, it's claimed lithium battery cells are impossible to manufacture in California. That doesn't appear to be factual. With no references, it's just a California bashing site based on easily disproven falsehoods.
by p-o | 2026-02-26 17:53:22+00:00
Maybe AI is useful to you, but the US economy is currently buoyed by promises of AI replacing the workforce across the board.

Most of Mag-7 are planning to spend over 500B on capex this year alone on building out datacenters for AI pipelines that have yet to prove that it can generate a sustainable profit. Yes, AI is useful in some environments, but the current pricing is heavily subsidized. So my point stand, the hype is not warranted.
by coldtea | 2026-02-26 17:54:02+00:00
>The reality is, to participate in any hobby you will have to expend significant amounts of dough,

No shortage of very cheap or free hobbies. Walking is free. Cooking is what you'd spend anyway for food (or cheaper if it helps you skip delivery), watching movies cheap (not to mention piratable), coding is cheap, playing 8-bit games is cheap, a book club is cheap, sewing is cheap, drawing is cheap, writing is cheap...
Show HN: Deff – side-by-side Git diff review in your terminal
by flamestro | 2026-02-26 17:54:06+00:00
deff is an interactive Rust TUI for reviewing git diffs side-by-side with syntax highlighting and added/deleted line tinting. It supports keyboard/mouse navigation, vim-style motions, in-diff search (/, n, N), per-file reviewed toggles, and both upstream-based and explicit --base/--head comparisons. It can also include uncommitted + untracked files (--include-uncommitted) so you can review your working tree before committing.

Would love to get some feedback
by observationist | 2026-02-26 17:54:08+00:00
There's an implicit assumption there, anything a computer as intelligent as a human does will be exactly what a human would do, only faster. Or more intelligent. If the process is part of the intelligent way of doing things, like the scientific method and careful experimentation, then that's what the ultraintelligent machine will do.

There's no implication that it's going to do it all magically in its head from first principles; it's become very clear in AI that embodiment and interaction with the real world is necessary. It might be practical for a world model at sufficient levels of compute to simulate engineering processes at a sufficient level of resolution that they can do all sorts of first principles simulated physical development and problem solving "in their head", but for the most part, real ultraintelligent development will happen with real world iterations, robots, and research labs doing physical things. They'll just be far more efficient and fast than us meatsacks.
by economistbob | 2026-02-26 17:54:38+00:00
I had organized neighbors who broke WPA3 using tolls, I had one that setup an evil twin to catch my Linux login They stole the IP of one of boxes so they could get my login. I caught this when my password didn't work. That was an apartment and they knew when I caught them.

The problem is not wardrivers. The problem is your neighbors running 24x7 cyber operations. It happens everywhere. When I moved to a house there was a persistent attacker, and finally I setup my own key and authentication infrastructure.

They broke everything.

Finally I had to go EAP TLS and rotate certificates every three months.

Evil twin attack that keeps switching sides... The first of its kind, soon to be automated into a single button if it isn't already.

Does the temporal key mechanisms prevent them from taking a key they denial of serviced their way to while I was work -- do the temporal mechanisms prevent them from sniffing all my packets when I get home. They will not use it to get data during the denial of service.... But if they can get that radius key and use it five hours later during some backups or something...

That is the question.
Show HN: Batchling – save 50% off any GenAI requests in two lines of code
by vienneraphael | 2026-02-26 17:54:43+00:00
batchling is a Python gateway to provider-native GenAI Batch APIs, so your existing calls can run at batch-priced rates instead of standard realtime pricing.

As an AI developer myself, I discovered Batch APIs when tingling with AI benchmarking: I wanted to save 50% because I was ok with a 24h-SLA.

What I discovered was a hard engineering reality:

- No standards: each batch API has a different flow and batch lifecycles are never the same.

- Framework shift: as a developer, switching from sync/async execution to deferred (submit, poll, download) feels off and requires to build custom code and store files.

That's when I noticed that no open-source project gave a solution to that problem, so I built it myself.

Batch APIs are nothing new, but they lack awareness and adoption.
The problem has never been the Batch API itself but its integration and developer experience.

batchling is bridging that gap, giving everyone a developer-first experience of Batch APIs and unlock scale and cost-savings for compatible requests.

batchling usage was designed to be as seamless as possible: just wrap existing async code into an async context manager (the only lib entrypoint) to automatically batch requests.

Users can even push that further and use the CLI to wrap a whole function, without adding a single line of code.

Under the hood, batchling:

- intercepts requests in the scope of the context manager

- repurposes them to batch format

- manages the whole batch lifecycle (submit, poll, download)

- hands back requests when they are processed such that the script can continue its execution seamlessly.

batchling v0.1.0a1 comes batteries-included with:

- Large batch providers support (Anthropic, Doubleword, Gemini, Groq, Mistral, OpenAI, Together, XAI)

- Extensive AI Frameworks integration (Instructor, Langchain LiteLLM, Pydantic AI, Pydantic Evals..)

- Request caching: avoid recomputing requests for which you already own a batch containing its response.

- Python SDK (2 lines of code to change) and Typer CLI (no code change required)

- Rich documentation stuffed with examples, get started and run your first batch in minutes.

I believe this is a game changer in terms of adoption and accessibility for any AI org, research lab or individual that burns tokens through API.

I'd love to get feedback from AI developers and new ideas by exchanging with the technical community.
The library is open to contributions, whether they be issues, docs fixes or PR.

Repo: https://github.com/vienneraphael/batchling
Docs: https://batchling.pages.dev
by mrandish | 2026-02-26 17:54:46+00:00
> They were rare, and special, and you'd have a few photos per YEAR to look back on.

My generation generally only had photos from birthdays, holidays, vacations, weddings, graduations and reunions. We looked at the three albums which contained every family photo often and I know them all by heart.

My kid was born in 2009 and our family digital album has nearly 1,000 photos per year of her life. And she's seen virtually none of them and seems to have little interest in ever seeing them since she creates so many of her own photos every day which are ephemeral.
by philipkglass | 2026-02-26 17:54:54+00:00
Hydroelectric generation varies a lot annually due to naturally varying precipitation. In the 1990s, hydroelectric generation reached a maximum in 1997 with 356 TWh (this was also the all-time peak) and a minimum in 1992 with 253 TWh:

https://www.eia.gov/kids/energy-sources/hydropower/

(This page is "for kids" but it includes a good plot of hydroelectric output since 1950.)

This is just from natural variability, since the US didn't build any new hydro generating facilities in the 1990s.

Here's the EIA report that has generating statistics for 2025. It has "monthly" in the name but you can find full-year stats for 2025 in table ES1.B:

https://www.eia.gov/electricity/monthly/current_month/februa...

In 2025, hydroelectric power generation was 247 terawatt hours. Utility scale solar generation was 295 terawatt hours. Estimated small scale (e.g. rooftop) solar generation was 93 terawatt hours. Combined, that would bring solar generation to 383 terawatt hours for the year.

Solar generation is now higher than hydroelectric generation ever was in the US, but it's also true that hydroelectric generation is lower in recent years. The Ars Technica article focused on the utility scale solar generation. Counting that portion alone, solar generation has yet to surpass hydro's 1997 record of 356 TWh.
by ChrisArchitect | 2026-02-26 17:55:03+00:00
Related:

Hegseth gives Anthropic until Friday to back down on AI safeguards

https://news.ycombinator.com/item?id=47140734

https://news.ycombinator.com/item?id=47142587

Tech companies shouldn't be bullied into doing surveillance

https://news.ycombinator.com/item?id=47160226
by keeda | 2026-02-26 17:55:06+00:00
I don't think the risk is SkyNet. I think the real risk is some disaster through an unexpected chain of events, just like any large-scale outage is.

I have not read “If Anybody Builds It, Everybody Dies” but I believe that's also its premise.

Current GenAI is extremely capable but also very weird. For instance, it is extremely smart in some areas but makes extremely elementary mistakes in others (cf the Jagged Frontier.) Research from Anthropic and OpenAI gives us surprising glimpses into what might be happening internally, and how it does not necessarily correspond to the results it produces, and all kinds of non-obvious, striking things happening behind the scenes.

Like models producing different reasoning tokens from what they are really reasoning about internally!

Or models being able to subliminally influence derivative models through opaque number sequences in training data!

Or models "flipping the evil bit" when forced to produce insecure code and going full Hitler / SkyNet!

Or the converse, where models produced insecure code if the prompt includes concepts it considers "evil" -- something that was actually caught in the wild!

We are still very far from being able to truly understand these things. They behaves like us, but don't necessarily “think” like us.

And now we’ve given them direct access to tools that can affect the real world.

Maybe we am play god: https://dresdencodak.com/2009/09/22/caveman-science-fiction/
by epistasis | 2026-02-26 17:55:12+00:00
There's an important distinction here, between "banned" and "has far cheaper alternatives".

Things can appear banned even when they aren't merely because there is a new technology that's better and cheaper and it's a big investment so people go with the cheaper option.

Nobody is building new coal in the US because it's so expensive, not because there's an outright ban. Now, part of the reason it's more expensive than in the past is that using once-through water for cooling raises the cost of disposing of waste heat. And now, modern and much more efficient natural gas combined cycle plant is the obvious choice because not only is the fuel cheaper per kWh, but you also need to spend a lot less on waste heat disposal.

So is coal banned? No. Did some environmental regulations have an impact on just how bad of an idea coal is these days? Sure, but let's talk about the tradeoffs here, it's not a ban and framing it is a ban leads to bad solutions to real regulatory problems.
by barrel_maker | 2026-02-26 17:55:17+00:00
Would LOVE a more in depth article about the discussions with Claude and how you created the agents to accomplish this! Would be very interested to know what you found the agents were really good at and what they could improve on.

I especially am interested in the initial discussions with Claude about scope, process, and general gameplan. I find that this initial discussion requires a lot of shaping and a lot of input, would love to see more insights into that process from your end!

Awesome stuff
by JaggerJo | 2026-02-26 17:55:20+00:00
Yeah - It feels similar to me.

Why share something that anyone can just “prompt into existence”?

Architecture wise and also just from a code quality perspective I have yet to encounter AI generated code that passes my quality bar.

Vibe coding is great for a PoC but we usually do a full rewrite until it’s production ready.

————

Might be a hot take, but I don’t think people who can’t code should ship or publish code. They should learn to do it and AI can be a resource on the way.. but you should understand the code you “produce”. In the end it’s yours, not the AIs code.
by estearum | 2026-02-26 17:55:40+00:00
> There are real, legitimate reasons why SynthId is actively harmful that do not involve deceiving or manipulating people at all

I am legitimately curious: can you name some?

> Actually no it just makes me use a different model

Yes, this is a very good thing when "a different model" means "a worse model."

> People who want to deceive or manipulate are not using Google models anyways. They are going to use a model without safety rails

That's totally invalid logic. There are plenty of deception and manipulation use cases that don't run afoul of model safety rails at all. Trivially: Creating fake dating profiles to scam people. Fake product images. Fake insurance claims. Fake blackmail (e.g. of a person and another man/woman at a bar).
by onlypassingthru | 2026-02-26 17:55:50+00:00
You can thank the fine people who figured it was cheaper/easier/faster to just dump the toxic waste out back (or offshore [0]) for many of these processes being outlawed. If I'm not mistaken, CA has the 2nd most Superfund sites in the US.[1]

[0]https://en.wikipedia.org/wiki/Toxic_ocean_dumps_off_Southern...

[1]https://en.wikipedia.org/wiki/List_of_Superfund_sites_in_Cal...
by keiferski | 2026-02-26 17:56:08+00:00
Some random predictions about what AI image generation tools will do/are doing to art:

1. The narrative/life of the artist becomes a lot more important. The most successful artists are ones that craft a story around their life and art, and don't just create stuff and stop. This will become even more important.

2. Originality matters more than ever. By design, these tools can only copy and mix things that already exist. But they aren't alive, they don't live in the world and have experiences, and they can't create something truly new.

3. Those that bother to learn the actual art skills, and not merely prompting, will increasingly be miles ahead of everyone else. People are lazy, and bothering to put in the time to actually learn stuff will stand out more and more. (Ditto for writing essays and other writing people are doing with AI.)

4. Taste continues to be the single most important thing. The vast, vast majority of AI art out there is...not very good. It's not going to get better, because the lack of taste isn't a technical problem.

5. Art with physical materials will become increasingly popular. That is, stuff that can't be digitized very well: sculpture, installation art, etc. Above all, AI art is uncool, which means it has no real future as a leading art form. This uncoolness will push people away from the screen and towards things that are more material.
by owlcompliance | 2026-02-26 17:56:12+00:00
I'm not privileged at all. I work haaaaaaard for the money....so hard for the money.

The job market sucks right now, but mostly for white collar. Out of touch would be for me to say that a software developer or data engineer would not struggle to find a job right now.

Hospitality, trades, retail, and most working class jobs are much more stable right now.

Again, if someone is making $15 bucks an hour at McDonald's, I promise you that there is a job paying just as much in another industry that they could start within two weeks.

Out of touch is someone who thinks that is not possible.

Imagine bring pitch forks into the conversation because you disagree with a business technique.

Bud, go take a walk, breath, and then realize that we're talking about which work environment someone prefers based on employer practices. We're not talking about an inescapable government surveillance system that will monitor when you leave your house every day.