MurphyA/hacker-news huggingface dataset:
by danielcinc | 2026-01-12 09:30:22+00:00
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by pjmlp | 2026-01-12 09:31:16+00:00
Xfce is what I settled on, when still using GNU/Linux desktops.

I used a multitude of UNIX environments since 1994, starting with IBM X Windows terminals connected to DG/UX, and thanks to the way Unity got dropped, the way GNOME 3.0 went down, windowmaker no longer being actively developed, Xfce it was.
by dathinab | 2026-01-12 09:31:37+00:00
> Most of these alphabet soup brands

to extend on that

to some degree this alphabet soup brands are a direct consequence of well intended but not well working Amazon policies :/

Not only did Amazone more or less force all the OEM/White label seller to pretend to be "proper brands" instead of just being honest, it also made them realize that they can use this to doge all responsibility and most reviews and has not done anything (working) to fix that situation (or other problematic situations on it's side). To make that worse even if you search for "<brand> <product>" the first results might be from random cheap copies of companies which branding is all just a hollow make pretend, further pushing off brand clones. Amazone really does a bunch of harm in not so obvious ways in addition to all the more obvious issues :/

--------

Some clarifications:

- I'm not speaking about brands which pretend to create their own product but sell OEM, I mean companies which very obviously sell OEM

- I also don't have an issue that when searching for "<brand> <product>" I also get off brand alternatives, I have an issue with this alternatives being multiple of the first search results in combination with the intentional UI design of all sellers "looking the same" (as in you have product images but no seller theming/branding on product pages), in combination with the oft not so grate product "sheet" etc. That lead to Amazon effectively deceiving people (especially older ones) into buying products they do not want to buy. (E.g. a cheaper but very unreliable clone of a product instead of the more expensive but for the customer very affordable original product, and yes, sometimes the clones are better then the original, most times not).
by aaronds | 2026-01-12 09:31:41+00:00
I run AssetRoom, which sends AI summaries of SEC filings. Found myself wanting a quicker way to discover interesting companies and hear what others think about them.

So I added a weekly poll. I pick a stock, show some key facts, and let people vote and discuss whether it’s overvalued or a hidden gem. Takes a few minutes, usually learn something.

https://www.assetroom.net/diamond-or-dud
by snovv_crash | 2026-01-12 09:31:43+00:00
39c3 is the conference it is being presented at, not the presenter. 39th Chaos Communication Congress, the annual conference of the Chaos Computer Club.

This is a hacker messing around who is presenting to inspire others and get feedback. Many things presented at Xc3 are wildly impractical, potentially illegal, or not even technical at all and more on the side of activism and policy. Most are interesting and fun, which is the main goal.
by oulipo2 | 2026-01-12 09:31:47+00:00
The equivalent of "we've been to the moon" in the case of LLMs would be:

"Hey Claude, generate a full Linux kernel from scratch for me, go on the web to find protocol definitions, it should handle Wifi, USB, Bluetooth, and have WebGL-backed window server"

And then have it run in a couple of hours/days to deliver, without touching it.

We are *far* from this
by piva00 | 2026-01-12 09:32:18+00:00
> Which was exactly my point. It happens more than it should, and it’s wielded by both parties.

It doesn't happen how it's happened the past year though, this is a false equivalence. The DOJ being weaponised as an intimidation tool against dissidents/opponents is not that common, it's become normalised during 2025.

I really cannot comprehend how you cannot see that, I'm not even American nor living in the USA but have followed American politics for a long time (since it impacts my life in some shape or form for as long as I remember).
by noduerme | 2026-01-12 09:33:09+00:00
Well, if there's one thing history has shown us (including the history of Apple's own insurgency against the PC), it's that complacency and stagnation make the incumbent a target for every newcomer who does have the drive to make a dent in the universe. And there are always a lot of people with that drive. This is how we keep ending up in the cycle of chaos > new paradigm > perfect software that probably should not be improved upon > collapse under weight of new features > chaos > new paradigm... repeat.
by 20k | 2026-01-12 09:34:19+00:00
I wish LLMs were good at search. I've tried to evaluate them many times for their quality at answering research questions for astrophysics (specifically numerical relativity). If they were good at answering questions, I'd use them in a heartbeat

Without exception, every technical question I've ever asked an LLM that I know the answer to, has been substantially wrong in some fashion. This makes it just.. absolutely useless for research. In some cases I've spotted it straight up plagiarising from the original sources, with random capitalisation giving it away

The issue is that once you get even slightly into a niche, they fall apart because the training data just doesn't exist. But they don't say "sorry there's insufficient training data to give you an answer", they just make shit up and state it as confidently incorrect
by Mountain_Skies | 2026-01-12 09:34:44+00:00
Pepsi probably also has had access to Coke's supply chain and long ago acquired samples of various inputs before mixing, which would make analysis easier. The two companies know they're competing mostly on production management and brand image, not secret ingredients. A decade or so ago a secretary from Coke tried to sell some of the company's "secrets" to Pepsi. Instead of jumping on the opportunity to get Coke's secrets, they contacted Coke's legal department and the FBI, with the three working together to prosecute her.
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by lymanli | 2026-01-12 09:34:49+00:00
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by frizlab | 2026-01-12 09:35:07+00:00
AppleScript: First appeared 1993.

COM: First appeared 1993.

Yup. Catching up.

I understand the rage, but get your facts right.

Also, FYI the interesting part about the post is getting the extracted code in type-safe Swift code. Getting the extracted code for ObjC is trivial and any seasoned macOS developer should already know how to do it.
by kace91 | 2026-01-12 09:35:36+00:00
>I've certainly felt the "mimics good code" thing in the past.
Yup, that's what makes reading LLM code far more intense for me in a bad way.

With a human, I'm reading at a higher level than line by line: I can think "hey this person is a senior dev new to the company, so I can assume some basics, let's focus on business assumptions he might not know", or "this is a junior writing async code, danger, better check for race conditions". With LLMs there's no assumption, you can get a genius application of a design pattern tested by a silly assert.Equal(true, true).

>I've started forcing Claude Code into a red/green TDD cycle for almost everything which makes it much less likely to write code that it hasn't at least executed via the tests.

Funnily, that was my train of thought to keep it tamed as well, but I had very mixed results. I've used cursor more than claude, but with both I had trouble to get it to follow TDD patterns: It would frequently create a red-phase test, then realise it doesn't pass (as expected), think that was an error on its part, and so it would change the test to pass when the bug is reproduced, giving green for the wrong behavior. This pattern reemerged constantly even if corrected.
by prmoustache | 2026-01-12 09:35:49+00:00
> Ideal if you have the resources (time, money, expertise). There are different levels of qualifications, convenience, and trust that shape what people can and will deploy. This defines where you draw the line - at owning every binary of every service you use, at compiling the binaries yourself, at checking the code that you compile.

Wireguard is distributed by distros in official packages. You don't need time, money and expertise to setup unattended upgrades with auto reboot on a debian or redhat based distro. At least it is not more complicated than setting an AI agent.
by embedding-shape | 2026-01-12 09:36:21+00:00
I have used JS before TS entered the scene, and being able to transpile features/syntax like that is not a TS innovation, nor only available in TS. That's why flagging that as something "you get for free, since you added a compiler anyways" feels dishonest. Ultimately it's true, but if that's what you're out after, then adding TS to your project is going way above and beyond just "transpiling new syntax to old syntax".
by Cthulhu_ | 2026-01-12 09:37:55+00:00
Palantir, Anduril, Istari, and there's even a home security one called Sauron, you can't make this shit up.

Back in my day, LotR names were used for cool metal bands like Gorgoroth, Amon Amarth, Cirith Ungol, Carach Angren, Burzum, etc.
by wewewedxfgdf | 2026-01-12 09:38:26+00:00
This is the most magnificent audio version ever recorded of The Hobbit - by Nicol Williamson in the early 1970's.

Zip file with mp3 in it:

https://drive.google.com/file/d/1b2aPKgVVguOKMOOqWskaliOviYr...
by sn0wleppard | 2026-01-12 09:38:31+00:00
I tried Claude on a project where I'd got stuck trying to use some MacOS media APIs in a Rust app.

It just went in circles between something that wouldn't compile, and a "solution" that compiled but didn't work despite the output insisting it worked. Anything it said that wasn't already in the (admittedly crap) Apple documentation was just hallucination.

Not exactly what I'd describe as "revolutionary".
by dee66 | 2026-01-12 09:39:17+00:00
I put together a CLI that estimates infrastructure cost deltas from Terraform plans.

It works by consuming `terraform show -json` output and evaluating cost changes locally using embedded pricing data. There are no cloud API calls, no IAM roles, and no network access at runtime, which keeps the output deterministic and cheap enough to run in CI.

The motivation came from a specific frustration: cost feedback usually arrives after deploy, when the change is already merged and normalized. Terraform plans already describe irreversible infrastructure decisions, so estimating cost there makes it part of code review instead of a billing post-mortem.

Design constraints I cared about:
- deterministic execution (same input → same output)
- fully offline (no IAM, no APIs, no telemetry)
- intended to run before merge, not after deploy
- directional accuracy rather than billing-exact precision

Trade-offs (real ones):
- it can’t model runtime behavior like autoscaling or traffic
- it’s weak at usage-driven costs (especially egress)
- it won’t match provider bills to the cent

What this is explicitly not trying to solve:
- unexpected bills from existing infrastructure
- org-wide FinOps dashboards
- tagging, chargeback, or attribution workflows

This started as a narrow experiment to answer one question:
For Terraform-managed infrastructure, is cost estimation more useful before merge than after deploy?

One open design question I’m still unsure about:
Right now it stays strictly with `terraform show -json` to preserve determinism. Is the UX win of parsing HCL directly worth the loss in reliability, or is JSON-only the right trade-off?
by Mawr | 2026-01-12 09:39:30+00:00
> But there are massive unsolved problems like the waste from fuel processing, processing the spent fuel, who can be relied upon to run these things, who can be trusted to regulate them and the failure modes of accidents. Despite there being <700 nuclear reactors built we've had multiple catastrophic failures. Chernobyl still has a 1000 square mile absolute exclusion zone. Fukushima will likely take a century to clean up and cost upwards of $1 trillion if not more.

sigh same low-tier non-issues brought up over and over again by people with no idea what they're talking about.

Look up some hard data before you speak.

- A nuclear reactor produces a tiny amount of waste per unit of power generated and it's all solid. Most sites just store it on-site because why not? Containment of small amounts of solid waste is as big of a non-issue as can be, obviously.

You realize our current energy generation revolves around burning up coal and gas and dumping the waste products into the atmosphere right? Right? And that those waste products include radioactive materials that you're so fake worried about?

You're out of your mind, completely gone in terms of what's actually happening right now vs what you're worried about. Detached from reality.

- Who can be trusted? We've had nuclear reactors for 50+ years, so... the same people that are already doing all that? What sort of a question is this? You're asking how to do something we're already doing.

- As for accidents, again, look up any data in existence. Nuclear is the safest energy production method by far, and yes, it's safer than e.g. solar. The fact that all you can point to are two accidents that have barely cost any lives at all proves that.

The very tsunami that caused Fukushima in the first place claimed 20 000 lives and all you can speak in regards to the plant is economic damage. Laughable.

You're displaying insane levels of ignorance. Look up data before you speak. Even consulting an LLM would have been better than just making stuff up.

[1]: https://app.electricitymaps.com/map/live/fifteen_minutes
by embedding-shape | 2026-01-12 09:39:39+00:00
> After you review, instead of rewriting 70% of the code, have you tried to follow up with a message with a list of things to fix?

I think this is the wrong approach, already by having "wrong code" in the context, makes every response after this worse.

Instead, try restarting, but this time specify exactly how you expected that 70% of the code to actually have worked, from the get go. Often, LLMs seem to make choices because they have to, and if you think they made the wrong choice, you can often find that you didn't actually specify something well enough, hence the LLM had to do something, since apparently the single most important thing for them is that they finish something, no matter how right or wrong.

After a while, you'll get better at knowing what you have to be precise, specific and "extra verbose" about, compared to other things. Something that also seems to depend on the model, like with how Gemini you can have 5 variations of "Don't add any comments" yet it does anyways, but say that once to GPT/Claude-family of models and it seems they get it at once.
by hopelite | 2026-01-12 09:39:56+00:00
In the spirit of not being intimidated, I am going to just say what I’ve been wondering; if this could be a result of the oppressive nature of all the “DEI” stuff at Apple having turned into a kind of intimidation cudgel. Are you going to speak out and point out the emperor has no clothes if doing so will have your head?

The circular self-congratulation of DEI introduces an intimidation factor where the objective and scientific truth is inherently no longer the basis for decision making because there are multiple layers of a kind of aristocratic privilege that cannot be questioned, let alone criticized, because critique of their actions equals critique of their divinity, i.e., becomes heresy.

So we end up with this point where no one pointed out the increasingly ridiculous reductions of the emperor’s clothes, only ever cheering on with positive affirmations, to the point that everyone’s intimidated to even point out the emperor is walking around stark naked.

I could see how a combination of the DEI intimidation tactics with the advent of AI, the hash economic factors, and general desire to not rock the personal benefit boat could have resulted in institutional paralysis.

Is there anyone with a force of personality left at Apple? Ultimately, this is on Cook as the Chief Executive Officer poorly executing. It really makes you wonder if the leadership doesn’t actually use any of their own company’s products. How do you not notice these glitches immediately like everyone else if you are using them? I could see Cook not having even regularly used an iPhone or actively interacted with any Apple product himself in years as his real life Siris around him do every single thing for him every day all day, besides maybe giving him briefs on screens that happen to be iPhones and iPads. At that level you actively have to make choices to remain connected to the ground. I doubt Cook finds being grounded comes easy.
by palooka | 2026-01-12 09:40:00+00:00
Over 10 years, I've learned that React Native is penny-wise and pound-foolish. You save on initial time-to-market for two platforms, then spend years mired in technical debt. You hit non-obvious barriers that demand either heroic engineering effort or painstaking workarounds - work that's often wasted when the feature fails to resonate with users or never recoups its investment.
by torginus | 2026-01-12 09:40:02+00:00
You might be right, but I think you must take into account that (I think) you're not super familiar with these languages as well, so you might not notice all the warts a programmer with a lot of experience in these langs would, and overrate the skill of the LLM.

Nowadays, I write C# and TS at work, and it's absolutely crazy how much better the LLM is at TS, with almost all code being decent the first try, but with C# I need to do a lot of massaging.
by imtringued | 2026-01-12 09:41:04+00:00
The worst case scenario is that LIDAR is a rapidly falling extra cost for zero benefit? Sounds like it's a good idea to invest into cheap LIDAR just in case the worst case doesn't happen. Even better, you can get a head start by investing in the solution early and abandon it when it has obsolete.

By the way, Tesla engineers secretly trained their vision systems using LIDAR data because that's how you get training data. When Elon Musk found out, he fired them.

Finally, your premise is nonsensical. Using end to end learning for self driving sounds batshit crazy to me. Traffic rules are very rigid and differ depending on the location. Tesla's self driving solution gets you ticketed for traffic violations in China. Machine learning is generally used to "parse" the sensor output into a machine representation and then classical algorithms do most of the work.

The rationale for being against LIDAR seems to be "Elon Musk said LIDAR is bad" and is not based on any deficiency in LIDAR technology.
by worksonmine | 2026-01-12 09:41:30+00:00
What? You can just put the executable in your path (in simpler terms put the program where the OS will look for it). You have the install command which does that and sets some permissions. That's not a hack that's just how it works. There's also apt-offline[0] which is apt (the package manager on Debian/Ubuntu and the rest) but wait for it... offline.

Of course you will need to get the source or the executable on the machine by some method, such as a USB or whatever. But I'm pretty sure Windows or Mac can't create software out of thin air either. Can you give me an example of a workflow that you use on Windows that you would like on Linux? I'm pretty sure I can help you solve it without hacks.

If you forget what you believe "installing" software means I'm sure you can learn to appreciate Linux and maybe even see that it's simpler and easier than Windows.

[0]: https://manpages.ubuntu.com/manpages/bionic/man8/apt-offline...
by faja | 2026-01-12 09:41:40+00:00
I'm building FollowGuard (https://followguard.app) - it's a privacy-first Instagram analytics tool.

I got tired of seeing people lose their accounts to "unfollower" apps that require login credentials and use unofficial APIs. Instead, I built this to parse official Instagram GDPR data exports 100% client-side in the browser.

It’s a Vue 3 + TypeScript SPA. There is no backend; all the ZIP extraction and JSON parsing happen locally so the user’s data never leaves their machine. I even added a "Security Audit" feature to help people find suspicious login activity in their own data.

My biggest challenge right now is the UX friction. To stay safe, the user has to navigate an 11-step manual export process on Instagram to get their data. I’m trying to figure out if the "privacy/safety" benefit is enough to convince non-technical users to jump through those hoops.
by vladvasiliu | 2026-01-12 09:41:42+00:00
This may come with its own limitations, though.

My ISP-provided router (Free, in France) has WG built-in. But other than performance being abysmal, its main pain point is not supporting subnet routing.

So if all you want is to connect your phone / laptop while away to the local home network, it's fine. If you want to run a tunnel between two locations with multiple IPs on the remote side, you're SoL.
by hendry | 2026-01-12 09:41:46+00:00
Timely! I just re-setup my Pi5 with the help of Claude. https://github.com/kaihendry/ai-pi

Tbh I did the mistake of throwing away Ansible, so testing my setup was a pain!

Since with AI, the focus should be on testing, perhaps it's sensible to drop Ansible for something like https://github.com/goss-org/goss

Things are happening so fast, I was impressed to see a Linux distro embrace using a SKILL.md! https://github.com/basecamp/omarchy/blob/master/default/omar...