MurphyA/hacker-news huggingface dataset:
by lebovic | 2026-02-25 10:51:04+00:00
I used to work at Anthropic. I fully believe that the folks mentioned in the article, like Jared Kaplan, are well-intentioned and concerned about the relationship between safety research and frontier capabilities – not purely profit.

That said, I'm not thrilled about this. I joined Anthropic with the impression that the responsible scaling policy was a binding pre-commitment for exactly this scenario: they wouldn't set aside building adequate safeguards for training and deployment, regardless of the pressures.

This pledge was one of many signals that Anthropic was the "least likely to do something horrible" of the big labs, and that's why I joined. Over time, the signal of those values has weakened; they've sacrified a lot to keep a seat at the table.

Principled decisions that risk their position at the frontier seem like they'll become even more common. I hope they're willing to risk losing their seat at the table to be guided by values.
by pankaj3112 | 2026-02-25 10:51:14+00:00
Calling an LLM on every scrape felt wasteful, so I made it run once, cache the CSS selectors, and only re-invoke when a selector stops matching.
The core flow, LLM runs in an agentic tool loop where it inspects the HTML, generates selectors, and tests them before committing. Once validated, selectors are stored with the cache key you provide. Every subsequent extraction is pure CSS, zero LLM calls.
Self-healing kicks in when a selector returns null or fails schema validation. It passes the broken selector back to the LLM with context so it can fix rather than starting from scratch.
Works with any Vercel AI SDK model and any HTML source.
Happy to answer questions.
Show HN: Corteza – Capture team decisions and makes them searchable with AI
by ctumani | 2026-02-25 10:52:04+00:00
Hey HN, I'm Cristian, founder of Corteza (https://corteza.app).

The problem: product teams lose decisions in Slack threads, Miro boards, Confluence pages, meetings, etc. Three months later nobody remembers why something was built a certain way, and the team re-litigates the same calls over and over.

What Corteza does: you type /decision [what] [why] [alternatives considered] in any Slack channel, or via our Chrome Extension. The bot stores it with full context. Later, anyone can ask natural language questions like "why did we pick PostgreSQL?" and get back the exact decision with reasoning, who made it, and when — even if they use completely different words.

Tech: Node.js + Slack Bolt SDK, MongoDB Atlas Vector Search for semantic retrieval, Claude 3.5 Sonnet for the conversational interface, Railway for hosting.

There's a live demo (no Slack required): https://app.corteza.app/demo

Early stage — looking for product teams who are frustrated by this problem and want to try it. Would love feedback from the HN crowd especially on the retrieval approach (we use OpenAI embeddings + cosine similarity, then Claude re-ranks and explains).
by jorgegalindo | 2026-02-25 10:52:09+00:00
We’ve been working on a software verification platform designed for AI-generated code. As code assistants accelerate development, verification becomes the bottleneck.

In this post, we outline the core principles we’re using to design a trustworthy verification system:

• Explicitly model semantics when possible
• Make approximations and assumptions visible
• Avoid confident false positives and false negatives
• Surface uncertainty instead of hiding it

Our main idea is that trustworthiness isn’t about absolute certainty. It’s about being explicit about assumptions and limitations so engineers can make informed decisions.

Would love feedback from people working on formal methods, static analysis, or AI-assisted development.
by albertogalca | 2026-02-25 10:52:12+00:00
Hi!

I’ve been writing in a journal since around 2019. Not every day or consistently, but I’ve built up quite a few entries.

I tried Day One at one point and loved it. However, when I discovered Obsidian, I realized how important it was to store my files on my own computer. To actually own them. To be responsible for them. I didn't want to depend on someone else’s servers or business decisions.

Since then, I haven’t been able to find a journaling app that truly fits what I want:

- Fully local files

- One time payment

- No subscription lock in

- Simple, focused on writing and preserving memories

- Optional AI tools you can use when you want, but never forced on you

Most apps either push subscriptions, store everything in the cloud, or try to become productivity systems instead of personal memory spaces.

So I’m building the app I’ve been looking for.

A simple journaling app designed around ownership, longevity, and flexibility. Your files stay on your computer. You can explore them with AI if you want to. Or ignore it completely.

If this resonates with you, I’ve put up a small landing page with a waitlist. I’d love to share progress as I build it.

Would love to hear your thoughts too.
by PeterUstinox | 2026-02-25 10:52:26+00:00
Wouldn't it be interesting if the LLMs would write realtime RTS-commands instead of Code? After all it is a RTS game.

This would bring another dimension to it since then quality of tokens would be one dimension (RTS-language: Decision Making) and speed of tokens the other (RTS-language: Actions Per Minute; APM).

Also there are a lot of coding benchmarks, that way it would test something more abstract, similar to AlphaStar https://en.wikipedia.org/wiki/AlphaStar_(software)

You could just use the exposed APIs of OpenAI, Anthropic etc. and let them battle.
by embedding-shape | 2026-02-25 10:52:36+00:00
Bit old, from June 13th, 2025, this and similar stories been on HN a bunch of times:

- https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...

- https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...
by Noaidi | 2026-02-25 10:52:43+00:00
Since time began

the dead alone know peace.

Life is but melting snow.

~~

Having a mental illness and being homeless I sit with my life now and let it melt. I know death is coming so I just let it come. I tried to force death to come twice, but I found that suffering is really no different that joy.

I live in a van right now so I am upper class homeless but soon I may be totally shelterless. Part of me is looking forward to it. Through the last ten years, moving from riches to rags, all my past attachments, all I can do is laugh at myself. There is such a weird liberation in inescapable suffering and I hope you all get to experience it someday.
by snickerer | 2026-02-25 10:54:39+00:00
In a normal and sane world, a scientist is a nerd about their field. They are highly interested in new thoughts and insights. When a new paper in their field is published, they try hard to find the time to read it. The reason is: every paper is written by enthusiasts who want to add something of value, new insights, to the discussion. Proving or disproving theories, adding puzzle pieces to the general picture.

That is the normal situation, which is the foundation of the progression of civilisation.
But some people install incentive systems to sabotage this. They are sabotaging civilisation itself.
by bigblind | 2026-02-25 10:55:04+00:00
This is an interesting idea, and I'd love to see whether people come up with interesting stories/imaginations with this, but I feel very strongly pushed to engage before I've even properly explored the platform to see the potential. Like, all the stories seem to have their images locked, I assume until I make an account. Then there's also this mention of a pro subscription and some deal for the. firlst N subscribers. I'm not even sure yet if this a platform that's worth enough for me to make an account, let alone pay money for. I understand that image generation isn't cheap so you need to think about monetization early, but I suspect you'll need more ways for people to see the value of it without the commitment of even creating an account to have this become successful.
by buntsai | 2026-02-25 10:55:38+00:00
Agree 10,000 fold.
English and Japanese are so different and have such different standards of aesthetics and literary form that good translations are like independent creations inspired by the original.
I would like to know that the original form was.
Even a word by word ungrammatical transliteration would be helpful. But not to have the Japanese available means I cannot even look it up...
by b0bbi | 2026-02-25 10:56:06+00:00
I'm unsing Laravel. I think any framework you are familiar with will do.
I'm using frameworks even for single page application, cuz you never know how it turned.

I think the danger of "hug of death" is overblown. Hardware gets more powerful over time, and bandwidth expands. I had a project with about 60k unique users per day, and that traffic lasted for several weeks. I didn't take any special measures, although I was prepared to switch to a more powerful server.

I'd be worried about what to do to get to 60k users. :)
by ozgung | 2026-02-25 10:56:52+00:00
This proves:

1. AI is military/surveillance technology in essence, like many other information technologies,

2. Any guarantee given by AI companies is void since it can be changed in a day,

3. Tech companies have no real control over how their technology will be used,

4. AI companies may seem over-valued with low profits if you think AI as a civil technology. But their investors probably see them as a part of defense (war) industry.
by Topfi | 2026-02-25 10:57:12+00:00
Have been following your models and semi-regularly ran them through evals since early summer. With the existing Coder and Mercury models, I always found that the trade-offs were not worth it, especially as providers with custom inference hardware could push model tp/s and latency increasingly higher.

I can see some very specific use cases for an existing PKM project, specially using the edit model for tagging and potentially retrieval, both of which I am using Gemini 2.5 Flash-Lite still.

The pricing makes this very enticing and I'll really try to get Mercury 2 going, if tool calling and structured output are truly consistently possible with this model to a similar degree as Haiku 4.5 (which I still rate very highly) that may make a few use cases far more possible for me (as long as Task adherence, task inference and task evaluation aren't significantly worse than Haiku 4.5). Gemini 3 Flash was less ideal for me, partly because while it is significantly better than 3 Pro, there are still issues regarding CLI usage that make it unreliable for me.

Regardless of that, I'd like to provide some constructive feedback:

1.) Unless I am mistaken, I couldn't find a public status page. Doing some very simple testing via the chat. website, I got an error a few times and wanted to confirm whether it was server load/known or not, but couldn't

2.) Your homepage looks very nice, but parts of it struggle, both on Firefox and Chromium, with poor performance to the point were it affects usability. The highlighting of the three recommended queries on the homepage lags heavily, same for the header bar and the switcher between Private and Commercial on the Early Access page switches at a very sluggish pace. The band showcasing your partners also lags below. I did remove the very nice looking diffusion animation you have in the background and found that memory and CPU usage returned to normal levels and all described issues were resolved, so perhaps this could be optimized further. It makes the experience of navigating the website rather frustrating and first impressions are important, especially considering the models are also supposed to be used in coding.

3.) I can understand if that is not possible, but it would be great if the reasoning traces were visible on the chat. homepage. Will check later whether they are available on the API.

4.) Unless I am mistaken, I can't see the maximum output tokens anywhere on the website or documentation. Would be helpful if that were front and center. Is it still at roughly 15k?
by onnimonni | 2026-02-25 10:57:50+00:00
I have thousands of connections I’ve hanged out during my twenties.

Ive arranged countless parties. People have met eachother in those and are happily married nowadays or have made friends during those events. Somehow the relationship between me and them formed into one where they were expecting me to arrange and include them everytime without offering help or asking me in return. Ive done all the things both of you mentioned and you’re definitely right that this does filter out plenty of people but I dont mind that nowadays.

The ones that get filtered through are the ones I feel like I should spend my energy and I have strong feeling that some of the effort does echo back to me during the times I dont have energy to be the one who arranges. It feels very nice but again we have different needs and YMMV. This works for me and I should have been more explicit about my background in the initial post as well.
by bonesss | 2026-02-25 10:58:00+00:00
I don’t think those web tooling piles are over-engineered per se, they address huge challenges at Google and Facebook, but the profession is way too driven by hype and fashion and the result is a lot of cargo culting of stuff from Big Dogs unquestioningly. Wrong tooling for the job creates that bubble of over complicated app development.

Inventing GraphQL and React and making your own PHP compiler are absolutely insane and obviously wrong decisions — for everyone who isn’t Facebook. With Facebook revenue and Facebooks army of resume obsessed PHP monkeys they strike me as elegant technological solutions to otherwise intractable organizational issues. Insane, but highly profitable and fast moving. Outside of that context using React should be addressing clear pain points, not a dogmatic default.

We’re seeing some active pushback on it now online, but so much damage has been done. Embracing progressive complexity of web apps/sites should leave the majority as barebones with minimal if any JavaScript.

Facebook solutions for Facebook problems. Most of us can be deeply happy our 99 problems don’t include theirs, and live a simpler easier life.
by simion314 | 2026-02-25 10:58:03+00:00
Sorry I am not aware about the Germany fake news, so link some reputable source to it, afaik Germany has very strong laws about fascism, nazis so make sure this is an EU problem and not Germany old laws unrelated to EU.

And I mean there are many stupid proposals, but there is no in effect law to put you in prison because you are supporting some legal political party that is in opposition. There are laws that you might be punished if you are doxing someone and calling people to kill that person online and this is not some law the EU created, it would be stupid to have a law to punish me if i call my neighbor werius stuff and damage his reputation but there would be no laws to call for killing of a specific person or a group of persons.
by ViktorEE | 2026-02-25 10:59:06+00:00
The way I've solved this issue with a long running build script is to have a logging scripts which redirects all outputs into a file and can be included with
```
# Redirect all output to a log file (re-execs script with redirection)
source "$(dirname "$0")/common/logging.sh"
```
at the start of a script.

Then when the script runs the output is put into a file, and the LLM can search that. Works like a charm.
by JanneVee | 2026-02-25 10:59:13+00:00
So, they still booked up all the ram and ssd in the world and still going to use gigawatts of power. The price of energy production is not going to go down 20x and 30x it just means that they can cram in more inference on the same energy consumption if the cost goes down. But they aren't paying the market rate for inference because everything is subsidized with debt and investors money to scale as fast as possibly. They are flushed with money and that is why they can book up all silicon production.
by bsstoner | 2026-02-25 11:00:37+00:00
This is valid feedback and it’s on us to earn trust over time through our actions. I will say that Cape is a company of almost 100 people from many different backgrounds. Prior to Cape I spent almost a decade at DuckDuckGo. We’re a group of people that is frustrated with the status quo in the telco industry and want to do better.

One of the efforts we’re working on now is an audit of our data retention claims. We recently posted an RFC on Reddit if anyone from this community has input: https://www.reddit.com/r/CapeCellular/s/zTn7HQ0emo

We plan to continue to do more things like this that increase transparency and build trust over time.
by vidarh | 2026-02-25 11:01:19+00:00
> There was surprisingly little repercussion for violating the "one card one person" door policy

Presumably because "everyone" knows that "noone" complies with those policies, in part because it's socially awkward to e.g. close the door on someone who tries to tailgate, and so it needs to be heavily and consistently enforced before it becomes more socially unacceptable to be the person who potentially puts their colleagues at risk of disciplinary actions than to be the person who tells someone they need to swipe.
by ben_w | 2026-02-25 11:01:43+00:00
While true, the obvious counterpoint is that open-weight models exist, that high-end desktops can run them, that said hardware doesn't yet appear to have reached the end of the road for improvements to both purchase and operational costs, and that even if it had the moment people stop having VC money to constantly churn expensive training runs for new models it suddenly makes sense to etch the weights of whatever is SOTA at that point onto a silicon wafer and run it as a much more efficient hardware circuit without wasting the overhead that comes with software doing the same thing on general-purpose hardware.

Even if the bubble burst while I was writing this comment, even if every single current LLM provider goes the way of pets.com, AltaVista, and GeoCities, that can all happen without ending vibe coding.
by bayindirh | 2026-02-25 11:02:07+00:00
b112 wrote a substantial comment already, but I'll give a single line summary:

yes, systemd changed how I manage my systems, but it didn't bring in speed, safety or integration I didn't have before them. Moreover, they brought out secure-boot related shenanigans in house and integrated to everything it touches. Before that the line was drawn at the bootloader.
by formerly_proven | 2026-02-25 11:02:27+00:00
These are all really quite small though.

Revenue (EUR): Ionos 1.5bn, OVH 1bn, Hetzner 0.5bn, Strato <0.2bn, Netcup (incl. parent) <0.1bn, Scaleway <0.1bn, Exoscale <0.01bn
Show HN: Pongo – a self hosted uptime monitor using configuration as code
by linesofcode | 2026-02-25 11:02:31+00:00
Say hello to https://pongo.sh/

self-hosted uptime monitoring, configured entirely in TypeScript and built on NextJS and Bun.

No UI forms. No vendor lock-in. Just code in your repo.

Monitors, dashboards, alerts, incidents, and status pages — all defined as TypeScript files and Markdown, version-controlled alongside your application.

You can one-click deploy it to Vercel or anywhere you can run node/bun/docker.

Your monitoring config lives in your repo like everything else.

Want to know what's monitored and why? Read the code.

Need to review a change? It's in the PR. Need to roll back a bad alert? Git revert.

No more clicking through dashboards wondering who changed what and when.

Built with Next.js, Drizzle ORM, and Bun. Runs with SQLite for simplicity or PostgreSQL for production.

Fully open source and ready to use today.

Would love to hear what you think and what features you'd want to see next, leave a star on GitHub

https://github.com/TimMikeladze/pongo
by ido | 2026-02-25 11:03:22+00:00
I didn't read it as simply making the bar higher for entering universities. For example here in Germany there are Universitäten (Universities) and Fachhochsculen (sort of like vocational academies, but they still award bachlor and master degrees).

Most people who studied computer science with me at university weren't interested in computer science at all but just wanted a good vocational training for entering the lucrative carrer of "software developer". I think it would benefit both them and employers if they would have instead attended a good vocational school for software development.
by davidguetta | 2026-02-25 11:03:48+00:00
Still waiting for an explicit answer on understand how 'safety' is truly distinguishable from 'censorship' or 'political correctness'

Of course saying to someone to go kill himslef is a prety sure 'no-no' but so many things are up to interpretation.

I VERY LARGELY prefer an AI like grok that doesn't pretend and let the onus of interpretation to the user rather than a bunch of anonymous "researchers" that may be equally biased, at the extreme, may tell you that America's founding father were black women
by neya | 2026-02-25 11:04:21+00:00
I'm actually on the fence with skills. Cursor shared a study where they claimed skills performed actually worse - than just injecting into the context directly. Similarly, there was a paper recently that suggested the same [1]

https://arxiv.org/abs/2602.11988

Of course, the classic response to these - event WITH the evidence is often "yOu'Re dOiNg iT wRonG". Does anyone actually have proof - where using skill.md is arguably better than not?
Show HN: 100% LLM accuracy–no fine-tuning, JSON only
by MysticBirdie | 2026-02-25 11:04:37+00:00
# Show HN: 100% LLM accuracy—no fine-tuning, JSON only

*GitHub:* https://github.com/Mysticbirdie/hallucination-elimination-be...
*Paper:* https://github.com/Mysticbirdie/hallucination-elimination-be...

---

*Model-agnostic Triad Engine*: JSON domain guide → 100% accuracy across Mistral 7B/Claude/GPT—no fine-tuning.

---

## Results (222 questions, adversarial domain, Gemini 2.0 Flash judge)

| Model | Raw | + Triad | ∆ |
|-------|-----|---------|---|
| Mistral 7B (local) | 22.5% | *99.5%* | +77pp |
| Bielik 11B (local) | 21.6% | *88.7%* | +67.1pp |
| GPT-5.2 | 26.1% | *100%* | +73.9pp |
| Gemini 2.5 Pro | 42.3% | *95%* | +52.7pp |
| Claude 4.6 | 45.0% | *100%* | +55pp |
| Perplexity Sonar (RAG) | 64.4% | *93.7%* | +29.3pp |

Perplexity has live web search—Triad still adds 29.3pp. Gemini 2.0 judge (cross-model). Claude Opus (stricter): raw Claude 14.9% → Triad 95.9%. Zero regressions.

*Beyond accuracy:*
- Adversarial: Raw Claude accepts false premises 25% → Triad 5%
- Consistency: Raw Claude 0% agreement across personas → Triad 100%
- Concise: 2.1× shorter responses (473 vs 1,015 chars)

*Real-world (Windsurf live codebase):*
| Phase | Context | Score |
|-------|---------|-------|
| No context | — | 40% |
| Unstructured docs | — | 40% |
| Triad JSON guide | — | *100%* |

---

## Triad Engine
Multi-voice layer above any LLM:
- λ: Character voice from domain guide
- μ: Truth/false enforcement
- ν: User calibration
- ω: Voice compositor

*Only input*: JSON domain guide (what exists/doesn't, agents, norms). No weight changes.

Works with any LLM. Applies to medical, legal, compliance domains.

---

## Open source
222 questions, runners (Claude/GPT/Gemini/Mistral), JSON results, guide schema in repo.

Happy to answer technical questions.
by b0bbi | 2026-02-25 11:05:03+00:00
Honestly, it's mostly just dark humor and a bit of financial "exposure therapy". Sometimes seeing the absurdly huge, multi-million dollar number makes the regret feel almost comical rather than actually depressing.

But you are 100% right about the $1k mark. In reality, almost none of us would have held to the top. We would have sold the moment it doubled, bought new iphone and felt like geniuses. That's the reality this calculator conveniently ignores for the sake of the joke!

Appreciate your two Satoshis!