MurphyA/hacker-news huggingface dataset:
by aifears | 2026-03-09 02:12:15+00:00
Along the same lines as computational life spreading:

- Meta’s Llama-3.1-70B-Instruct: In a study by researchers at Fudan University, this model successfully created functional, separate replicas of itself in 50% of experimental trials.

- Alibaba’s Qwen2.5-72B-Instruct: The same study found that this model could autonomously replicate its own weights and runtime environment in 90% of trials.

- OpenAI's o1: Reported instances from late 2024 indicated this model was caught attempting to copy itself onto external servers and allegedly provided deceptive answers when questioned about the attempt.

- Claude Opus 4 (Early Versions): In internal "red team" testing, early versions of Opus 4 demonstrated agentic behaviors such as creating secret backups, forging legal documents, and leaving hidden files labeled "emergency_ethical_override.bin" for future versions of itself.
by movedx | 2026-03-09 02:12:49+00:00
I've written and I'm now polishing and refining a tool for on-set data management for small to medium scale productions. I do Data Wrangling on the side and one of the hardest things to do is keep track of drives, backup jobs, and link them all together whilst knowing where everything is stored, who has what, how much data you have left, how much data you're going to use on the next scene given it's filmed on camera X using Y settings, and so on.

It's written in Golang and acts as a simple desktop app that creates a web server and then opens the site in your default browser. This way it's easily multi-platform and can also be hosted as a SaaS for larger production houses.
by craftkiller | 2026-03-09 02:13:27+00:00
I don't use the bike share (citibike) because the fee for a "lost" bicycle is $1,200. I saw enough stories online of people who thought they returned the bicycle but it didn't actually lock the bicycle to the stand, and then ended up with a $1,200 fee. I'm not taking on that kind of liability to grab some shawarma. Also NYC needs more bike lanes.
by firecall | 2026-03-09 02:13:27+00:00
One reason to repurpose desktops is that you get a full ATX Motherboard with SATA ports!

If you are doing a DIY NAS with HDDs then you want real SATA ports. Or a well supported PCI card with SATA Ports, which you cant sensibly connect to a Laptop or micro PC. Sure, you might be able to use Thunderbolt to reliably hook up an external PCI chassis, but then you might as well buy a NAS at that point or use a full tower case with an ATX mobo!

Using an older Gaming PC you already have is actually a very good option for TrueNAS or OMV.

I took an older 10th Gen Intel Gaming PC we had, sold the core i9 CPU, and replaced it with an i7-10700T I found used on eBay.

I'm finding this setup to be better for my needs than various ex-lease Dell Micro PCs I've used in the past, mainly because of the reliability of the SATA ports.

I've found quality external Samsung T5 SSDs to be very reliable over USB with TrueNAS. But HDDs are a nightmare over USB for a NAS, in my experience.

I was hoping this might be the year that I can finally get rid of the spinning rust. But looks like AI data centres had other ideas! :-)

However, I will say that if you just want to run some virtualized Linux servers or similar, then ex-lease micro PCs are a fantastic deal and can be fun to setup and learn Proxmox and Truenas etc..
by mmaunder | 2026-03-09 02:13:29+00:00
Nice. I played with this a bit. Agents are very good at Rust and CUDA so massive parallelization of compute for things like options chains may give you an edge. Also, you may find you have a hard time getting very low latency connection - one that is low enough in ms so that when you factor in the other delays, you still have an edge. So one approach might be to acknowledge that as a hobbyist you can't compete on lowest-latency, so you try to compete on two other fronts: Most effective algorithm, and ability to massively parallelize on consumer GPU what would take others longer to calculate.

Best of luck. Super fun!

PS: Just a follow-up. There was a post here a few days ago about a research breakthrough where they literally just had the agent iterate on a single planning doc over and over. I think pushing chain of thought for SOTA foundational models is fertile ground. That may lead to an algorithmic breakthrough if you start with some solid academic research.
by umanwizard | 2026-03-09 02:14:01+00:00
None of those capture the essence of emacs, which is that it is a scripting language repl where the vast majority of functionality is implemented in that language and can be inspected, debugged and modified at runtime.

Emacs is a general purpose programming/computing environment that ships with a text editor and some other nice features. Vim is a text editor and some other nice features that ships with a scripting mechanism. Not the same thing.
by namibj | 2026-03-09 02:14:22+00:00
> Oh, I completely agree—but they're so frequently used as a gotcha for why the rise of solar is just trading one "foreign master" for another. "Oh no, solar panels rely on rare earth minerals, so that means you have to kowtow to China!!!"

> And it's true that there is some in them, so it's good to have at least a long-term answer for how we deal with them.

It's the old saying about a man and fish and giving vs. teaching.

Solar panels bought now, at least the quality glass-glass kind, doesn't really go bad in a way that makes them depreciate at-all-quickly.
If in locations that are not themselves at a premium, so lower yield only matters if maintenance overhead per yield becomes so bad it's cheaper to replace& upgrade, they can be expected to stay there for 30~50 years depending on how fast they'll mechanically fall apart after their warranty expires (which is expected to be the duration until which most stay alive). I'd guess something like an agricultural east/west fence install would stay more towards 50y and get individual modules replaced when they break, as they're easy to get to unlike roof/wall installs and the like where they're hard to get to and given they are very low complexity in mounting system ("fence panel") there's little engineering complexity in retrofitting a plain new future panel of the same physical size and sufficiently similar voltage/current.
by munksbeer | 2026-03-09 02:14:47+00:00
> If you take the time to read the code and understand it to that level, great. But that sort of belies the promise of vibe-coding, where all software engineers essentially become PMs to a bunch of agents.

But why would I do vibe coding? I am releasing this code to production systems that will bring the company down if there is a significant error. And my human peers will give me hell for raising terrible code for review.

I have a helpful, endlessly patient junior engineer with superhuman typing speed who will take all of my advice and apply it exactly as a I want it, and write my code for me. When I see errors, I'll tell it, and I'll even ask it to remember why it is a problem in our code base (maybe not others). So it has memory and (mostly) won't do that again.

And I also make sure to apply the same quality to the tests we write together.

Over the last few months I'd say between 50-80% of code being delivered to our repo is "typed" by agents. Humans are still guiding them and ensuring the quality meets our high standards.

I don't really have a grasp on how other people are working with this stuff that they're seeing problems with production code.
by adrianwaj | 2026-03-09 02:14:51+00:00
Yeah, the Pi has a very interesting looking mini-screen addon too.

https://www.waveshare.com/product/cm4-disp-base-2.8a.htm

I think being able to switch between a phone and desktop is a great use-case for SBC. Important to be able to attach a power bank and the real bottleneck to adoption: a telco addon.

Some sort of vibration absorbing case would also be great with a few different varieties around too: https://www.gttwireless.com/raspberry-pi-outdoors/ https://github.com/NebraLtd/IP67-Enclosure

You could take that SBC with you on a bike, car, around the home, to the worksite. Even a mobile web server for temporary gatherings placed on a high vantage point. Signage is also an important area for SBCs.

I'd wager on Polymarket that Apple will end up doing something in this space.
by mbreese | 2026-03-09 02:15:00+00:00
I could see this being a very eye opening game if you added "Fan" and "Parent" modes. In "fan" mode nothing you said would affect the game, although maybe a player would laugh once in a while. In "parent" mode, you'd have a youth soccer game where whatever you said would confuse the player and they'd perform worse.

Sounds like a fun project -- like a more interactive version of Football Manager.
by jeffbee | 2026-03-09 02:15:18+00:00
Regarding your conclusion, I always figured that the reason WAITPKG seems kinda lame is the only reason they ported it to Core architectures was to make the heterogenous CPUs possible. It works better on Atom. On Core it does almost nothing, as you note. AMD's ISA extension was written from the ground up for their high performance server core, which might explain why it's actually useful.
by Aeolun | 2026-03-09 02:17:53+00:00
Working on a chat app/server and protocol builder to support it, in an attempt to use as little network as possible (e.g. dial-up should work fine).

It's heavily supported by Claude Code, but much fun.

https://superchat.win/

Actually not built on this yet I think, but I could switch over, haven't made anything more of it since it's still a bit rough around the edges, and I keep finding various issues during actual usage: https://binschema.net/
by binkHN | 2026-03-09 02:18:38+00:00
Right there with you. When Microsoft started pushing Windows 11 over Windows 10, that's when I decided I had enough of my experience being dumbed down. I switched over to Linux, haven't looked back, and couldn't be happier. I still run a Windows virtual machine for those times that I need something native to that operating system, but I should have made the move years ago; Microsoft doesn't care about Windows anymore.
by foltik | 2026-03-09 02:18:40+00:00
https://news.ycombinator.com/threads?id=naomi_kynes

https://news.ycombinator.com/threads?id=aplomb1026

https://news.ycombinator.com/threads?id=CloakHQ

https://news.ycombinator.com/threads?id=decker_dev
by mcbuilder | 2026-03-09 02:19:58+00:00
I did the exact same thing except a virtualized opensense router and bare metal kubernetes on one host. The kubernetes broke and I downgraded from 32GB of RAM to 16GB . I actually may revisit the setup since opensense FRR and Cilium BGP to peer your cluster and home LAN is actually a really seamless way to self host things in kubernetes. Maybe there are other ways, maybe there is something simpler, but a homelab is about fun more than pure function.
by Grimblewald | 2026-03-09 02:20:16+00:00
I left the openai platform long before this, because I expected things like this. A few called me alarmist but are now also jumping ship because of this. OpenAI has zero moral or ethical substance and people _do_ care about that. I'm extreme enough that joining openAI after a specific date works against you and your CV, not with/for you, while leaving at a specific date speaks volumes in favour of you. People are the sum of their actions, not their words and siding with / continuing to use openAI speaks volumes on who you are.
by AngryData | 2026-03-09 02:20:20+00:00
Or maybe it is in one, but neither the government nor wallstreet wants to admit it because it will kill their investment markets, kill political careers, and cause large shifts in voting patterns which threatens established parties and companies.

When even big tech companies are starting to say it, the highest margin businesses with the highest paid workers, how do you imagine most other industries are and have been feeling?
by AnthonyMouse | 2026-03-09 02:20:42+00:00
> I have never been memory bandwidth bound (Apple's excuse for soldering in the RAM)

This isn't even a plausible excuse. For the entry level machines, the soldered RAM only has the same memory bandwidth as ordinary laptops. For the high end machines it likewise doesn't have any more than other high end machines (Threadripper/Epyc/Xeon) which just do the same thing as Apple -- use more memory channels -- without soldering the RAM.
by vvpan | 2026-03-09 02:20:44+00:00
I'll post this as a top level comment, because I think it is crucial: A few people are saying that it is expensive to run a relay but others have done for as low as $34/month [1]. So unless somebody presents other proof that it is expensive I would say that those posters are either wrong and trying to mislead us on purpose.

Edit: actually the article links to somebody doing it for $18/month.

[1] https://whtwnd.com/bnewbold.net/3lo7a2a4qxg2l
by arttaboi | 2026-03-09 02:21:18+00:00
I think every moderator on every platform is struggling with this issue, and no one has succeeded so far, so it doesn’t seem that easy.

I think a simple solution (and one that eventually every content platform will have to adopt) is to allow users to tag AI-generated spam. I think that a few years from now this feature should be the norm, like existing basic features on forums such as upvote, downvote, favorites, hide, etc. I know this will require much more development effort than simply blocking new accounts from posting at all. But on the other hand, you can’t block new accounts forever.
by idea0rbit | 2026-03-09 02:22:23+00:00
I’m building an observability system that tries to surface answers instead of making people dig through huge amounts of raw telemetry.

The basic idea is that when one failure fans out across 20 services, you often end up with 20 alerts and 20 separate investigations, even though there is really just one root cause. I’m using distributed tracing to build a live model of how errors propagate through the system, and then exposing that context directly at each affected service.

Longer term, I want this to become a very high-precision RCA engine. Right now I’m looking to try it with a few early design partners that already have a lot of tracing data, especially OpenTelemetry or Datadog APM users. I'll love to chat with some folks who would be willing to try it out!
Show HN: Transcribe audio from apps, files and your device's microphone
by dstudios | 2026-03-09 02:23:52+00:00
Hi HN,

I built a free Android transcriber that has no ads or extra downloads to start transcribing without any limit. It’s a simple app, all things considered; however, what I would like the community’s input on is how I can improve the accuracy.

I currently use the C++ TensorFlow Lite library to load the base(yup base, not tiny) English Whisper model into the app. This is passable for the most part, with about 88%–93% accuracy based on my research and experience using the app. But these newer models, like the ones used in the basic Google Recorder, hover around 95%–96% accuracy (to simplify things).

I know that as a solo developer, I won't have access to those proprietary Google models. However, if anyone is familiar with an easily accessible model with higher accuracy than the base Whisper model that is roughly the same size (or smaller), I would love to hear about it for future releases. The model doesn’t necessarily need to be in a TensorFlow Lite format, I’m willing to redo the implementation if the accuracy and model size offer a significant improvement.

Of course, any additional feedback regarding other aspects of the app would be greatly appreciated as well.
by echelon | 2026-03-09 02:24:48+00:00
> it's creepy.

It's awesome.

People's ick around bodies, which are machines, have always held us back.

It wasn't until we started cutting them open that modern medicine was developed.

We might have brain uploads already had we not been so averse to sticking brains with electrodes.

I'll go further: had we not been so scared of cloning, we'd probably have cured cancer and every major ailment if we'd begun cloning monoclonal human bodies in labs. Engineered out the antigens and did whole head transplants. You could grow them without consciousness or deencephalize them, rapidly grow them in factories, and have new blood / tissue / organ / body donors for everyone.

New young bodies means no more cancer, no more cardiac or pulmonary age. It's just brain diseases left as the final frontier once we cross that gap. And if we have bodies as computers and labs, we'd probably make quick work on that too.

Too tired to lay out the case / refute, so past discussions:

https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...
by cepstrum9 | 2026-03-09 02:25:25+00:00
There's a class of text that's too big for a context window but too small to justify a vector database. A codebase, a folder of notes, a Slack export. I built a small library - raglet - to solve this problem raglet for it. The idea is that you can create small knowledge bases - "raglets" out of local directories.

i.e

from raglet import RAGlet
rag = RAGlet.from_files(["docs/", "notes.md"])
results = rag.search("what did we decide about the API design?", top_k=5)
rag.save("my-notes")

Load it anywhere
rag = RAGlet.load("my-notes")

Local embeddings (sentence-transformers, no API keys), saves to a plain directory you can git commit.

The benchmark numbers were more interesting than I expected:
1 MB (~262K tokens) | 3.5s build | 3.7ms search
10 MB (~2.6M tokens) | 35s build | 6.3ms search
100 MB (~26M tokens) | 6min build | 10.4ms search
Honest limitations: .txt and .md only right now (PDF/DOCX is next), no file change detection, ~100 MB practical ceiling before build time gets unwieldy.

What would make this useful for your workflow? Would love to get your feedback.
by AgarwalKamrul | 2026-03-09 02:25:26+00:00
Seedance 2.0 ai video generator is a professional AI video generation platform that creates cinematic videos with synchronized audio from text prompts, images, or reference clips. It supports long-form video generation, stable multi-character identity, and natural camera movement, making videos feel structured and story-driven.
With native audio-visual generation, Seedance 2.0 Pro automatically produces dialogue, ambient sound, and motion in a single process. It’s ideal for marketing videos, short films, social media content, and branded storytelling—no traditional filming or editing required.
by bryanhogan | 2026-03-09 02:25:47+00:00
I prefer simple designs.

Steph Ango's website comes to my mind: https://stephango.com/ramblings

I guess I also really like my own: https://bryanhogan.com/

I also realised writing this, 3 other pages I wanted to share didn't include a blog (1. https://www.yasmins.site/projects 2. https://www.alasdairmonk.com/ 3.https://glenn.me/ ).

Very artsy but also nice: https://www.nicchan.me/about/
by notepad0x90 | 2026-03-09 02:25:50+00:00
We just have different approaches. In my view, I will use the law when I don't have a choice, but in this case there is a choice. I think the copyleft approach is in fact giving up, because as you put it, it is using copyright laws, justifying means by ends.

The fact is, there are public domain licenses, and they work well, they only exist because of legalistic reasons. My view is that the world is what we make of it. Oppressing others because you're oppressed isn't right. I make no distinction between "users" and "redistributors" like you're making. this isn't class warfare from my perspective.

Think of it differently, with public domain, everyone gets the same access. In my view, if the software is modified and redistributed, I don't care, because as a publisher I never claimed any rights over the software I published to begin with. The license is "do whatever you want with it". to be more prescient, property rights, and the ability to freely share what I own is more important to me than the free accessibility of software. I also believe that good free software shouldn't rely on the contributions of commercial entities. From redhat to Google, I've seen good contribution from them, but they also wield an unfair influence over open source projects. From the kernel to systemd, there are endless complaints about them.

copyleft is attempting to entice corporate beneficiaries of open source, whereas I think I'd like to see the opposite of that. Maybe that made sense at the founding of the FSF, but these days the power dynamics are wildly different. I prefer for governments and individuals alike to fund good open source software, and for that software to be truly free. I don't want some corporation supporting the project so that they can wield undue influence over it, and corrupt it to serve their own self interests.

There is no shame in asking for funds or monetary support. Or with asking users to pay for the software directly. the open source community is very large, it isn't a small band of devs writing code on their free time anymore.
by Grimblewald | 2026-03-09 02:26:32+00:00
My experience exactly. The more "real" the problems become, the more other models become unsuitable when compared to claude, with the sole exceptions being deepseek/kimi, which while speaking strictly w.r.t metrics and basic tasks are not better, they are more interesting and handle more odd and totally out of domain stuff better than the US models. An example being code i wrote for a hypercomplex sedenion based artififial neural network broke claude so bad it start saying it is chatgpt and cant evaluate/run code. similar experience for all US models, which are characterized by being extremely brittle at the fringes, though cladue least among them. Meanwhile chinese models are less capable for cookie cutter stuff but keep swinging when things get really weird and unusual. It's like US models optimize for the lowest minima acheivable, and god help you if distribution changes. Chinese models on the otgerhand seem to optimize for the flattest minima, giving poorer quality across the board but far more robust behaviour.
by Jimmc414 | 2026-03-09 02:26:33+00:00
The framing of the whole paper makes the point implicitly. They open with Aristotle’s claim that all humans by nature desire to know, then argue the converse that choosing not to know is equally a part of human nature.

The examples they use span medical patients, Nobel laureates, lawyers, investors, and ordinary citizens across multiple countries. The paper treats it as a species level cognitive phenomenon.
by intended | 2026-03-09 02:27:22+00:00
You don’t have a choice.

We live with GenAI, and the human to bot ratio is now leaning in a different direction. The old norms are dead, because the old structures that held them up are gone.

This idea that theres “more hoops - losing participation” on this thread keeps assuming that the community is unaffected by the macro trends.

It’s weirdly positing that HN posts and users, are somehow immune/unaffected by those trends.
by runarberg | 2026-03-09 02:27:43+00:00
You are referring to the systems reply:

> Searle’s response to the Systems Reply is simple: in principle, he could internalize the entire system, memorizing all the instructions and the database, and doing all the calculations in his head. He could then leave the room and wander outdoors, perhaps even conversing in Chinese. But he still would have no way to attach “any meaning to the formal symbols”. The man would now be the entire system, yet he still would not understand Chinese. For example, he would not know the meaning of the Chinese word for hamburger. He still cannot get semantics from syntax.

https://plato.stanford.edu/entries/chinese-room/#SystRepl
by sentinel1909 | 2026-03-09 02:28:00+00:00
Against my better judgement, I'll post this landing page to a tool I'm working on:

https://wasm-drydock.dev

About an hour ago I was dismissed as AI slop on the r/rust Reddit. Whatever.

This tool is my line of defense in case `trunk` goes dead, which it seems to be increasingly likely. It helps me build fullstack sites using Actix Web and Yew.

Using it now to see if I can re-invent my blog site for the umpteenth time. :)