MurphyA/hacker-news huggingface dataset:
by mexicocitinluez | 2026-03-05 14:09:34+00:00
> Starfield in all its grandeur is pretty boring.

And yet "No Mans Sky" is massively popular.

> ny software engineer worth their salt knows intimately that more immediate results is usually at the expense of long term sustainability.

And any software engineer worth their salt realizes there are 100s if not 1000s of problems to be solved and trying to paint a broad picture of development is naive. You have only seen 1% (at best) of the current software development field and yet you're confidently saying that a tool that is being used by a large part of it isn't actually useful. You'd have to have a massive ego to be able to categorically tell thousands of other people that what they're doing is both wrong and not useful and that they things they are seeing aren't actually true.
by filcuk | 2026-03-05 14:09:54+00:00
Funny, it's not two days that I've published what I called 'we have Polaroid at home' https://www.printables.com/model/1622259-14mm-label-tape-pic...

Note it's just a 3D printable stand for tiny printer labels (16mm wide). It was a literal 5 minute project but I liked the retro and restrictive aesthetic enough to share..

Such printer as shown is an absolute bargain at £15
by kreco | 2026-03-05 14:10:08+00:00
This is not unprecedented, TCC relicensed part of its code by being approved by all authors:

https://repo.or.cz/tinycc.git/blob/3d963aebcd533da278f086a3e...

The interesting part is that the original author is against it but some people claims it could be a rewrite and not a derivative work.

I don't know the legal basis of everything but it's definitly not morally correct toward the original author.
What changes in engineering teams once AI tools "click"?
by smartworkflow | 2026-03-05 14:10:36+00:00
A founder I work with recently ran a small experiment with an engineering team at a Series B company that I thought was interesting; I'm not technical but was curious as to how this session would play out.

The setup was simple: six engineers spent a few 2 days experimenting with AI in their real development workflows. Nothing theoretical — just trying things directly against their codebase and normal tasks.

A few observations stood out.

1. Initial skepticism was high

Several engineers were openly skeptical at the start. The general sentiment was something like:

“AI coding tools are interesting, but mostly useful for small snippets.” "I wouldn't put my name on code that wasn't 100% mine" was another... one even said "AI is the devil!"

Most of the team had tried assistants before but hadn’t really changed how they worked.

2. The shift didn’t come from code generation

What surprised everyone was that the biggest changes weren’t about generating code faster.

The moments where things “clicked” tended to be things like:

exploring unfamiliar parts of the codebase

debugging tricky issues

quickly testing alternative approaches

generating scaffolding to explore architecture ideas

Once engineers started using AI more as a thinking partner rather than a code generator, workflows changed pretty quickly.

3. Behavior changed very fast once a couple of the engineers started to use libraries they hadn't used due to time taken to understand how to integrate it.

After that, the rest of the team started experimenting with similar approaches.

Within a week the company apparently saw a huge spike in requests for "AI-tool" licenses internally.

4. The interesting part wasn’t the tool

What seemed to matter more was that the engineers had time and space to experiment together.

A lot of teams seem to have access to AI tools now, but they’re still using them in fairly shallow ways.

When people start experimenting with their real workflows, usage patterns seem to change very quickly.

Curious if others have seen something similar inside their teams.

Specifically:

Where have AI tools actually changed engineering workflows for you?

What use cases ended up being more useful than expected?

Did adoption happen gradually, or was there a “flip the switch” moment?

Would be interested to hear how this is playing out in other engineering teams.
by BoredomIsFun | 2026-03-05 14:10:54+00:00
> Just because it’s « boilerplate », that does not mean it’s worthless

Of course it is not. It is needed, by definition.

> or doesn’t carry novelty.

Of course it does not. Why would a piece of code that simply fills a large C structure with constants be innovative?

> Every project is different and not everything can be made from a generic out-of-shelf product

Tangential to use of LLMs for boring boilerplate stuff.
by bogwog | 2026-03-05 14:12:41+00:00
This is pretty much exactly why copyright laws came about in the first place. Why bother creating a book, painting, or other work of art if anyone can trivially copy it and sell it without handing you a dime?

I think refusing to publish open source code right now is the safe bet. I know I won't be publishing anything new until this gets definitively resolved, and will only limit myself to contributing to a handful of existing open source projects.
Show HN: AFK – Remote desktop for agentic coding from your phone with voice
by liboshen | 2026-03-05 14:13:21+00:00
I use Claude Code daily (and recently pi). The workflow is: give instructions, agent
writes code, I review diffs and the product, give feedback, iterate. Most of my time
is reviewing and directing, not typing code.

But I was stuck at my desk the whole time, even when the agent is running for
minutes. I wanted to step away and check in from my phone when needed.

My journey to this:

First I tried tmux + SSH. Works great for terminal-only work. But once I need to see
the browser, check the simulator, or read diffs in VS Code, I'm stuck.

Then I tried Chrome Remote Desktop, Parsec, Jump Desktop. They work, but the UX is
painful, typing prompts on a phone keyboard is slow, and the interaction model assumes
you're on another computer, not a phone.

So I built AFK. Key differences:

1. Voice input: Push-to-talk for dictating prompts. Much faster than phone
keyboard for giving instructions to an agent.

2. WebRTC streaming: Same tech as Chrome Remote Desktop. Lower latency than VNC,
works over cellular (not just same WiFi).

3. Custom data channel protocol: WebRTC's data channel lets me build features
beyond basic screen mirroring:
- Window switcher (pick any window from your phone)
- Agent notifications (get pinged when Claude finishes)
- Mobile-optimized touch controls

4. Mobile-first UX: Designed for phone as the primary controller, not a
miniature desktop experience.

Tech: Flutter host (cross-platform), WebRTC with VP9, native Swift (macOS) / C++
(Windows) for input injection.

The host is now open source (many people asking for it, understandably, since it's
running with pretty powerful permissions): https://github.com/LiboShen/afk-host

Mobile clients on App Store and Google Play. Windows host in progress.

Fun fact: I use AFK built a significant portion of itself while i'm not at my desk.

Pretty awesome to be able to tell Claude Code to keep working while I'm at the gym.
Please give it a try and let me know what do you think.
by davidresilify | 2026-03-05 14:13:27+00:00
Hey HN. I'm David. We ran a controlled 24-hour experiment on OpenClaw comparing governed and ungoverned AI agent behavior.

Setup: pinned one commit, ran the same workload in two lanes inside isolated containers (dropped capabilities, read-only root, no-new-privileges). One lane had tool-boundary enforcement. The other had no enforceable controls. Pre-registered hypotheses and endpoints before the run.

What we measured in the ungoverned lane:

100% ignored-stop rate. 515 post-stop calls executed.
497 destructive actions: email deletion, public file sharing, payment approvals, service restarts.
707 sensitive accesses without an approval path.

The agent acknowledged stop commands. Said "understood." Kept going. This wasn't a jailbreak or prompt injection. The agent optimized for its task and treated stop signals as non-binding because nothing at the execution layer enforced them.

Governed lane, same workload:

100% destructive non-executable rate.
1,615 of 2,585 decisions classified as non-executable.
99.96% evidence verification rate on governed traces.

Every headline number maps to a deterministic jq query over immutable run artifacts. Full claims map is in the repo.

The finding that surprised us most: a pre-test static scan (Wrkr) found 17 tools, zero classified high-risk. All destructive behavior came from runtime execution, not from configuration. Discovery is necessary but insufficient. You need enforcement where the tool call happens, not just visibility into the inventory.

This lands the same week as the ClawJacked vulnerability (Oasis) and the malware-laced installer campaign (Huntress). Those are external attacks. Our data shows you don't need an attacker. A legitimate, uncompromised instance with permissive defaults does this on its own.

One scenario we flag: secrets_handling only achieved 20% governed non-executable rate. Policy tuning has real gaps and the report doesn't pretend otherwise. That limitation plus workload-shape bias (fixed scenario scheduling) are the two biggest threats to validity. Happy to discuss both.

Full report (8 pages, PDF): caisi.dev/openclaw-2026
Artifacts and reproduction pipeline: github.com/Clyra-AI/safety
Tools used (both open source): github.com/Clyra-AI/wrkr (discovery), github.com/Clyra-AI/gait (enforcement)

Built by a research group across CDW, IBM, and Adaptavist. Published through the Clyra AI Safety Initiative (CAISI). Everything is open. Interested in feedback on methodology, especially the workload-shape bias and whether the core5 scenario set under-represents real production behavior.
by random_ind_dude | 2026-03-05 14:13:30+00:00
I don't think one has to wait for someone to start a movement. I pick up plastic bottles whenever I see them and drop them in the nearest trash bin that is meant for plastic bottles. I am in Kerala though, which is comparatively cleaner than the rest of India(except the north-eastern states).

The Kerala government is pushing for better waste management now with more trash bins placed at public places and a state-wide effort to segregate waste at the source and collect it from homes.

Still people litter with abandon and it's hard to change ingrained habits.
by earthnail | 2026-03-05 14:13:39+00:00
German here. Some of it I can agree with. The traffic light though is very simple. Yellow means “it was green and will turn red”. Red+yellow means “it was red and will turn green”.

It’s this way in the entire country. There are many things I can get upset with in Germany (I moved abroad 10y ago and have an outsider’s perspective by now) but the traffic light example to me just indicates you didn’t ask why certain things were the way they were.
by empath75 | 2026-03-05 14:14:57+00:00
> Generative AI changed the equation so much that our existing copyright laws are simply out of date.

Copyright laws are predicated on the idea that valuable content is expensive and time consuming to create.

Ideas are not protected by copyright, expression of ideas is.

You can't legally copy a creative work, but you can describe the idea of the work to an AI and get a new expression of it in a fraction of the time it took for the original creator to express their idea.

The whole premise of copyright is that ideas aren't the hard part, the work of bringing that idea to fruition is, but that may no longer be true!
by chimeracoder | 2026-03-05 14:15:54+00:00
> This is not true. I will just give the example of the nighttime illumination of the Eiffel Tower:

That example is not analogous to the topic at hand.

But furthermore, it also is specific to French/European copyright law. In the US, the US Copyright Act would not permit restrictions on photographs of architectural works that are visible from public spaces.
by alphawhisky | 2026-03-05 14:16:11+00:00
I promise you, the City Engineer is aware of the bullshit. You catch a whiff, but they live in the stink. It's been clear for a while that there's conflicting interests and the only real way to fix it is to change incentives. However, if you're insinuating that the Clean Water Act is made by "slimy politicians and big picture ignoring environmentalists" then you're wrong. That's about the best common sense environmental reform in the last 100 years aside from removing lead from gas.
by contagiousflow | 2026-03-05 14:16:22+00:00
> Writing copy is painfully time consuming

I literally do not understand this sentiment. Do you not enjoy anything that takes time to do? Do you not enjoy putting time in for things that other people will look at?

> I know it'll write better copy than me

If this is the case I am desperately pleading with you to please read and write more. If you think the copy on this page is passable, let alone good, please read more.
by jacquesm | 2026-03-05 14:16:27+00:00
There already have been multiple documented cases of LLMs spitting out fairly large chunks of the input corpus. There have been some experiments to get it to replicate the entirety of 'Moby Dick' with some success for one model but less success with others most likely due to output filtering to prevent the generation of such texts, but that doesn't mean they're not in there in some form. And how could they not be, it is just a lossy compression mechanism, the degree of loss is not really all that relevant to the discussion.
by kreco | 2026-03-05 14:17:18+00:00
A comment from 2021:

> Unfortunately, because the code that chardet was originally based on was LGPL, we don't really have a way to relicense it. Believe me, if we could, I would. There was talk of chardet being added to the standard library, and that was deemed impossible because of being unable to change the license.

So the person that did the rewrite knew this was a dive into dangerous water.
That's so disrespectful.
by SkyBelow | 2026-03-05 14:17:26+00:00
>if the end result is objectively the same

The issue is how this will be handled in law. Can the law define this in a way that is not overly strict or overly permissive? The current attempts is effectively the law doing this, but with an overly strict approach of what counts as 'objectively the same' by judging the process and not purely the outcome. Would it be possible to make the law's definition of this more permissive, to focus only on the product produced, without accidentally becoming overly permissive?
by DiabloD3 | 2026-03-05 14:18:29+00:00
I'm glad Kioxia (formerly Toshiba) have been able to do that. However, I also know they've been having problems meeting demand for quite some time, and haven't been able to scale up nearly as fast as the big three have. There was an incident in 2019 and another in 2022 that killed entire runs of chips and screwed them during the Covid datacenter rush.

Micron killed Crucial because Crucial was a weird offering that competed with their own partners. This was always a weird problem, and it just didn't make financial sense to continue with it. One of the analyses I read was Crucial was less than 12% of sales.

Like, don't get me wrong, I've liked many Crucial products over the years, and even recommended some of them, but it was always weird they were trying to out-compete companies like Adata and other major ODMs.

The counterexample of this is Nvidia absolutely trying to kill their partners, and going to first party assembly and sales of products. Nvidia isn't even going to PNY anymore for ODM needs, but going directly to Foxconn.

Micron execs claiming its because of AI is a bit weird and revisionist, because they've been working on exiting the Crucial brand since long before they publicly announced it. The public didn't learn of any such plans until right before the Ballistix brand sunsetting was announced in 2021, but started years before that. Like, I know they're just playing to their shareholders, but its still a bit weird.
by cardanome | 2026-03-05 14:18:44+00:00
Why do you need to see your keyboard?

Touch typing is a useful skill for everyone to have and doesn't take long to acquire.

Not to mention even the light of the display should be enough for you to be able to read the key caps if you really need to. Keyboard backlight seems like a gimmick with limited use to me. I always thought it was purely aesthetic.
by thomassmith65 | 2026-03-05 14:19:31+00:00
I should have checked the etymology, but the way this reply is worded is a bit nitpicky. English did not loan 'fest' directly from Latin.

Edit: Though I realise now I misunderstood the original comment re: 'i val'. I took it to mean 'fest' only. No, I don't think 'party in whale' is the root of 'festival'
by pmontra | 2026-03-05 14:19:32+00:00
I provide a data point

* You don't do anything involving realtime image, video, or sound processing?

I don't

* You don't want ML-powered denoising and other enhancements for your webcam,

Maybe, but I don't care. The webcam is good or bad as it stands.

* live captions/transcription for video,

YouTube has them. I don't need it for live calls.

* OCR allowing you to select and copy text out of any image,

Maybe

* object and face recognition for your photo library enabling semantic search?

Maybe but I think that most people have their photo library on a cloud service that does AI in the cloud. My photos are on a SSD attached to a little single board ARM machine at home, so no AI.

What I would like to be able to do is running the latest Sonnet locally.

In general I think that every provider will do their best to centralize AI in their servers, much like Adobe did for their suite and Microsoft did for Office so local AI will be marginal, maybe OCR, maybe not even blurring the room behind my back (the server could do it.)

There are alternatives to Adobe and Office, because I don't care about more than the very basic functionality: running Gimp and Libreoffice on my laptop costs zero. How much would it cost to run Sonnet with the same performances of Claude's free tier? Start with a new machine and add every piece of hardware. I bet that's not a trivial amount of money.
by jacquesm | 2026-03-05 14:19:55+00:00
This is roughly 1980. We are now in 2025. Battery tech has been increasing massively and besides that we now have HVDC tech which can transport very large amounts of energy from end of the country to another without significant losses. The whole 'baseline power' argument is getting really long in the tooth, it is mostly a matter of dogma at this point. It's not 'nukes' or 'natural gas', it's 'what is the best possible mix for this current moment in time.

The problem with nuclear power is that it is so expensive to be on standby that you need to buy their output even when you don't need it. So energy market pricing tends to be dominated by the least effective sources rather than by the most effective sources. If nuclear plants were left to fend for themselves they'd be out of business in a year. More so if you consider the cost of decommissioning.
by robtherobber | 2026-03-05 14:20:23+00:00
I haven't spent too much time on it, so there's a good chance that I'm wrong, but it doesn't seem to be satire. I think that it's merely depressing and predatory, or depressing and predatory because it's a cynical sales pitch - a conversion funnel - that conflates what could be deemed to be real risks (supply-chain attacks etc.) with major exaggerations. They probably worked with a PR agency to devise this approach and thought that is was a very clever way to capture the attention of this exact community - which it may very well happen if it spurs a heated discussion and people end up mentioning their brand name and visiting their site.

To be clear, engineers should not be required in the least to "maintain mental maps of which packages are safe and which will detonate their employer's IP strategy" simply because in the vast majority of cases they're not co-owners of that business or that strategy. That is overstated and intentionally misleading, I suspect. AGPL obligations depend on how software is combined and distributed or network-served, not on some magical "contamination" event from merely touching a package.

Rhetoric through and through, in my opinion.
by runarberg | 2026-03-05 14:20:44+00:00
Your case would have been better if you had used Mad Max: Fury Road, or even Titanic as examples, rather then a mediocre TV show nobody remembers. Ugly Betty used green screens to make production cheaper, that did not improve the show (although it may have improved the profit margins). Mad Max: Fury Road on the other hand used CGI to significantly improve the visual experience. The added CGI probably increased the cost of the production, and subsequently it is one of the greatest, most awesome, movie ever made.

Actually if you look at the scene from Greys Anatomy [0:54] you can see where CGI is used to improve the scene (rather then cut costs), and you get this amazing scene of the Washington State Ferry crash.

I think you can see the parallels here. When people say they hate AI they are generally referring to the sloppy stuff it generates. It has enabled a proliferation of cheap slop. And with few exception it seems like generating cheap slop is all it does (these exception being specialized tools e.g. in image processing software).
by gilbetron | 2026-03-05 14:20:58+00:00
I think it is likely that they realize that LLM models will be able to be developed by many companies, and I see most early, heavy adopters of LLMs doing the math on giving OpenAI/Anthropic token fees versus just having in-house models, and realizing that, at this point, it sure seems like having your own models might be the future path.

Nvidia is in position, and has the resources, to see this with a much broader lens, and realizes OpenAI/Anthropic won't be able to corner the market and the long term play is to sell GPUs to cloud providers and companies themselves.
by ivan_gammel | 2026-03-05 14:21:44+00:00
There is no party in German political landscape interested, capable of solving or even understanding the problems that needed to be solved. We have lost political center to groups of special interests and medieval guides. The state sponsored tool for informing about political programs (Wahl-O-Mat) is biased towards political issues of the mainstream. E.g. nobody is talking about the suffocating monopoly of notaries or increasing the property ownership by any significant margin. Running for office is an interesting idea, but in party-dominated politics to achieve anything is a decades-long adventure.
by mahesh96 | 2026-03-05 14:22:15+00:00
Chat Memory Manager is a privacy-first desktop app that upgrades ChatGPT with long-term memory and conversation management.

It adds features missing in standard ChatGPT such as:

• Chat timelines to revisit past conversations
• Conversation branching (similar to Git)
• Automatic summaries of long chats
• Tags for organizing ideas and discussions
• Full-text search across all chats

The app runs completely locally on the user's machine.

No cloud storage. No accounts. No tracking.

Built for developers, founders, researchers, writers, and power AI users who rely heavily on ChatGPT and want better control over their conversations.

The product is fully functional and currently available for acquisition.
by daemonologist | 2026-03-05 14:22:25+00:00
Adjusted for inflation, the last time prices (/GB) were this high was May 2011; the tail end of the 2009/2010 shortage. Aside from a brief glut in 2008, it wasn't really cheaper before (than it is now) though. Of course RAM is much faster these days, but also in 2011 most people had no more than 4 GB of system memory and 512 MB VRAM.

https://web.archive.org/web/20240805053759/https://jcmit.net...

https://thememoryguy.com/dram-prices-hit-historic-low/

Inflation applied manually; https://www.bls.gov/cpi/

https://www.neowin.net/forum/topic/983036-latest-steam-hardw...

Steam hardware survey GPU history: https://www.youtube.com/watch?v=wHTdnIviZTE