MurphyA/hacker-news huggingface dataset:
by lynndotpy | 2026-03-05 06:09:58+00:00
Your comments really sound like you don't have experience with Linux. This sounds like you're repeating things others have heard.

> it's more likely than not that they don't have those skills

No, they absolutely do.

Even at the most basic level of interacting with the OS, Linux desktops usually offer more options in its Settings application than you'd get with MacOS.

If something annoys you on Linux, it probably annoyed someone else, and there's probably a toggle or switch for it.

If not, the barrier to fixing it is usually "sudo apt install cool_thing". Higher than "open the settings app", but it doesn't require compiling or coding. It only requires literacy (and, granted, not everyone is literate).

> Linux is ... practically just as likely to force them to accept the march of technology

For starters, let's not characterize Liquid Glass as "the march of technology". It's a symptom of dysfunction within Apple.

Second, no, this is just simply wrong. Many Linux distros offer LTS versions. Ubuntu 16.04 was released in 2016 and its support is ending this year, after a decade. (That's not counting the five more years of security maintenance.) Very importantly, these also don't have dark patterns to tick you to update like Apple did with Tahoe.
by grogenaut | 2026-03-05 06:10:00+00:00
Each line gets me over 50gb.

I'm assuming your not doing much in those apps.

Fusion is not free cad and is a hog.

So is kicad.

The language server for many things I work on sits at 28gb per copy.. I work for twitch, our code base is not small for the website. Moving all engineers to min spec 48gb.

I'll do stuff all day prototyping data analysis approaches that will fill ram with a pandas cross join.

I put my4 into thermal shutdown 2x in the last month and hard locked it due to swap use 3 times in the last month. I keep records so I can talk with IT about or dev machine specs. Apparently you can't run 30 concurrent yarn builds on a 3gb codebase... Who knew.

This isn't a works on my box competition I'm glad your workloads are that small, you can be a lot more efficient than me. I'm also lucky I bought all this ram before it became absurdly expensive.

It doesn't negate that I'm constantly over 64gb and that I'm super happy I have 128+ on my machines.
by ylliprifti | 2026-03-05 06:10:08+00:00
The core argument: if the Socio-Cognitive Model of Trust applies to human-AI interactions (and by its own logic it does — it models the trustor's beliefs, not the trustee's inner life), and if micro-level trust aggregates into macro-level social capital (0.98 correlation with GDP in prior empirical work), then agent design properties are inputs to a social capital generating mechanism that nobody is currently measuring.
by eswiac | 2026-03-05 06:10:56+00:00
Brico (Series A) | San Francisco, CA | ONSITE (Hybrid OK)| H1B Transfer OK | Full-Time | https://www.brico.ai

Brico takes the hassle out of financial licensing for Financial Institutions and FinTechs. We automate new license applications, maintenance, and renewals, creating a 1-stop shop for all licensing needs. Put simply, we are creating from the ground-up dedicated AI-augmented software to manage complex regulatory compliance workflows that used to live in spreadsheets and emails, across all 50+ US jurisdictions.

Our revenue has grown 600% since starting 2.5 years ago, with strong product/market fit and customers such as Marqeta, BitGo, Conduit and Bilt.

We are a small but mighty backend-but-do-it-all engineering team of 6, taking on any challenge that's thrown at us in order to build for and support our growing customer base ranging from ambitious crypto startups to established Fortune 500 financial services companies.

I am hiring senior/staff backend engineers who are also comfortable going up the stack when required to work on our frontend (we are all backend folks). Tech stack: python/django+drf/react

Reach out to me directly (Co-Founder/CTO) at ZW1haWwgZW5naW5lZXJpbmctam9ic0Bicmljby5haSB3aXRoIFtMRVNTVElNRU1PUkVKT1ldIGluIHRoZSB0aXRsZSE=
by 0xWTF | 2026-03-05 06:11:14+00:00
Bicycle frames are highly optimized to have the loads concentrated at specific points, namely the seat, bottom bracket, and wheels. The lugs are heavy, and the tubes are very thin almost everywhere else. This appears to be putting load at focal points along the thin wall regions. Every time you hit a bump, the battery hits the frame, like hitting the thin wall of a soda can with a hammer.
by kshri24 | 2026-03-05 06:11:15+00:00
I don't think you can classify "public data in" as public domain. Public data could also include commercial licenses which forbid using it in any way other than what the license states. Just because the source is open for viewing does not necessarily mean it is OSL.

That's the core issue here. All models are trained on ALL source code that is publicly available irrespective of how it was licensed. It is illegal but every company training LLMs is doing it anyways.
by SR2Z | 2026-03-05 06:11:47+00:00
The way it works now is that the accuser has a few days to submit proof that they're suing to defend their rights, or else the platform can reinstate the content. In practice this would (and does) lead to a game of whack-a-mole between large rightsholders who have to pay money for lawyers and uploaders, who don't pay anything but an internet bill. Obviously, this doesn't fly in court and platforms have to go out of their way to ensure that they aren't profiting from mass piracy. It doesn't help that the aforementioned lawyers are always eager to go after a juicy, solvent target instead of Some Dude in Ohio with fiber and a lot of free time.

What do you do when your basic fair use check turns out to not be so basic after all? What happens if a video starts as academic but later turns out to be part of a commercial operation? Is the platform indemnified because it was "obvious?"

You're also forgetting that the platforms do not want to take down content. YouTube at least does a few basic checks automatically and makes heavy use of human reviews. I'm sure a few people would benefit if they quadrupled their spending on copyright review, but it's crazy to think that it makes sense for them to do this.
by bitexploder | 2026-03-05 06:13:12+00:00
They still have mammalian wet-ware. The dolphin has a relatively advanced neocortex which means they likely have some relatively advanced processing. They also have an interesting part of their brain that we don't have and it is likely for social and emotional information based on their behavior. We suspect they may even have a model of the self.

They still have roughly the same kind of hardware as we do. Their different brain region is kind of like a coprocessor we don't have. But based on their behavior they are likely doing the same things we are. I would say they would be more like an extreme human culture than something alien. They probably have very different category mappings based on echolocation.

I think because we know their brains are doing a lot of things that are analogs to ours, just with different sensory inputs we can reason about a dolphin brain and their semantic concepts and category mappings way easier than an AI. Dolphins do a lot of the same stuff we do. Grief. Social groups. Predicting the future. I would bet at a single level of semantic abstraction we have a lot of concepts that map. They have a lot of the same hormones we do. They react to danger very similar to us. I think a lot maps, we just don't know how to share that with each other beyond observation of one another and offerings like food and things that translate for any mammal.
by vladich | 2026-03-05 06:13:50+00:00
It's not useful for sub-millisecond queries like point lookups, or other simple ones that process only a few records. sljit option starts to pay off when you process (not necessarily return) hundreds of records. The more - the better. I'm still thinking about a caching option, that will allow to lift this requirement somewhat - for cached plans. For non-cached ones it will stay.
by scuff3d | 2026-03-05 06:14:57+00:00
I'm similar, but I do find some natural places where LLMs can be helpful.

Just today I was working on something that involves a decent amount of configuration. It's in Python unfortunately and I hate passing around dictionaries for configs, I usually like to parse the JSON or YAML or whatever into a config class so I have a natural way to validate and access without just throwing strings around.

As I was playing with the code for the actual work that needs to be done, I was thinking what configs I needed and what structure made sense. Once I knew what I needed I gave the JSON to an LLM with some instructions regarding helper functions and told it to give me the appropriate Python code. It's just a bunch of dataclasses with some from_dict or from_string methods on them, not interesting or difficult to write. Freed me up to keep working on the real problem.
by metaphor | 2026-03-05 06:15:55+00:00
Hmm...sniff test sampling:

- HCA[1]: FY25 profit margin = 9.0%

- UHS[2]: FY25 profit margin = 8.6%

- THC[3]: FY25 profit margin = 6.6%

Yeah, a bit of disaggregation is likely needed here, but in these companies, labor expense as a percentage of revenue is on a declining YoY trend while revenue continues to grow.

What's the prevailing ballpark ratio of doctors to all other hospital staff again? And what details are buried in that ever so opaque and increasing "other operating expenses" line item?

[1] https://www.sec.gov/Archives/edgar/data/860730/0001193125260...

[2] https://www.sec.gov/Archives/edgar/data/352915/0001193125260...

[3] https://www.sec.gov/Archives/edgar/data/70318/00000703182600...
by hn_throwaway_99 | 2026-03-05 06:16:57+00:00
Agree with this completely.

But besides Sam Altman, this whole episode has made me totally and completely lose all respect for Paul Graham. I used to really idolize pg, and I really used to like his essays, but over the years I've found his essays increasingly displayed a disturbing lack of introspection, like they'd always seem to say that starting a startup is the best thing anyone can do, and if you're not good at startups then you kind of suck.

But his continued support of Altman in this instance (see https://x.com/paulg/status/2027908286146875591, and the comment in that thread where he replies "yes") is just so extra disappointing and baffling. First, his big commendation for Altman is that he's doing an AMA? Give me an f'ing break. When someone is a great spin doctor I'm not going to commend them for doing more spinning. It's like he has total blinders on and is unwilling to see how sama's actions in this instance are so disgusting and duplicitous. Maybe subconsciously he knows he's responsible for really launching sama into the public consciousness, so he now just is incapable of seeing the undeniably shitty things sama has done.

Oh well, I guess it's just another tech leader from the late 90s/early 00s who has just shown me he's kind of a shitty person like a lot of us.
by ImPostingOnHN | 2026-03-05 06:17:01+00:00
> Cite 0 isn't what I said, though.

Yes it is. Here is the exchange in question:

>> I'm talking about the majority position, not minority (opposition to Iran war)

> So, no, you're not. Or you're misunderstanding how this works.

> people don't care about the war in Iran.

They were talking about the majority position (it is opposition to Iran war), and they weren't "misunderstanding how this works", and people do care about the war in Iran.

>I said people who care about Iran (in the sense of it being a primary driver of voting preference) are in the minority.

Close -- you said that about people who oppose the Iran war, and you omitted everything in parentheses. In contradiction to that thing which you said, however: People who oppose the Iran war are in the majority.
by thedevilslawyer | 2026-03-05 06:17:02+00:00
Copyright is not a blacklist but an allowlist of things kept aside for the holder. Everything else is free game. LLM ingestion comes under fair use so no worries. If someone can get their hand on it, nothing in law stops it from training ingestion.

We can debate if this law is moral. Like the GP I took agree public data in -> public domain out is what's right for society. Copyright as an artificial concept has gone on for long enough.
by jhorman | 2026-03-05 06:17:24+00:00
This looks pretty cool. I’ve been using Claude Code a lot lately and once you start trying a few things in parallel it gets messy fast — multiple terminals, different branches, remembering which session was doing what, etc.

Wrapping worktrees + sessions into one place with some common actions actually seems pretty useful. Curious to try it out and see how it feels in practice.
Ask HN: How valuable is production scale experience vs. LeetCode in startups?
by winsongr | 2026-03-05 06:17:37+00:00
Backend engineer from India working mainly on distributed systems and backend infrastructure.

Over the past few years, I’ve worked on systems serving ~6M monthly users and currently operate backend services handling ~1300 rps production traffic. A lot of my work involves things like autoscaling services, async job processing, data pipelines (~400GB), and deployments where we need zero downtime (blue-green / rolling deploys).

I’ve also solved 300+ LeetCode problems and understand the algorithm grind. I can push through it if needed.

But I’ve noticed something interesting about myself: what really excites me is operating real systems under load - debugging production issues, designing services that scale, handling burst traffic across many instances, and improving latency through infrastructure changes.

Sometimes it feels like interview prep pushes heavily toward algorithm puzzles, while the engineering work I enjoy most is around distributed systems and production architecture.

Curious how founders and engineers here evaluate this balance when hiring.

Is strong production systems experience still a meaningful signal compared to heavy algorithm interview prep?
by SeriousM | 2026-03-05 06:18:10+00:00
I really appreciate this work. Yes, it's AI language and it seems it's not polished to run on every device -yet.

And it does one thing really good: be there. Sounds silly, I know, but an app that tries to make the world better AT NO COST is so much more than "well, I could vibe code that myself".

Thanks fellow creator of this app. Thanks for believing that this app may have an impact on the important part of our life:
re/connecting people.
by jnaina | 2026-03-05 06:19:16+00:00
The iPhone Halo effect will bring in the first time buyers in droves. Windoze is inherently uncool among the younger Insta demographics.

Also, the Neo is the ultimate iPhone accessory, for this crowd. Who cares if the ram size is 8GB and Tahoe is a certifiable dog, that the vast majority neckbeards here are fretting about here. The Neo is not aimed at you. For Safari, Apple Mail, Photos and iApps, and ocassional Claude/ChatGPT usage, this is plenty good
by tuukkah | 2026-03-05 06:19:26+00:00
Meanwhile, the corresponding "non-standard" desktop PC is the Framework Desktop, which with the Ryzen AI Max+ 395 can use 120GB of its 128GB RAM for the GPU: How to Run a One Trillion-Parameter LLM Locally: An AMD Ryzen™ AI Max+ Cluster Guide https://www.amd.com/en/developer/resources/technical-article...
by three14 | 2026-03-05 06:20:07+00:00
The thing that burned me with asyncio primitives is that calling an async function doesn't even schedule it (by default). The pattern for fire-and-forget is impossible to guess when coming from any other language - although it's called out in the docs. You must also call create_task AND you must maintain a collection of tasks because otherwise the task might not run, because it can be garbage collected before running, AND you must clean up completed tasks from your collection.
by Nursie | 2026-03-05 06:20:40+00:00
> it's the government having to provide some privacy-protecting means of using them

Nope, not necessarily.

> I have yet to see a single one implemented in real life.

There are likely to be a lot more coming as the newer standards in this area were finalised last year. Online identity is a continually evolving space.

> Moreover, private entities have the perverse incentive to do the opposite of implementing it securely, because they find it profitable to track people

Some do in some circumstances, but far from all. Others (often financial institutions) have wised up to PII being a liability rather than an opportunity and some are working on frameworks and capabilites in this space that don't involve any more storage or transfer of anyone's ID than already happens in banks.
by arduanika | 2026-03-05 06:22:01+00:00
> be the king

Which of these two CEOs wants to have an unelected spot in the decision loop of our government?

Once I dug into this story, I realized that only one of these companies was attempting a real power grab. Maybe the EAs are doomed to try coup after coup and lose every time.

The SCR part is excessive, though, especially if it's interpreted broadly. Altman gets credit for sticking up for Anthropic on that point, but not much credit, because it's so obvious that it's overkill.
by fwipsy | 2026-03-05 06:22:02+00:00
I was also curious. Claude answers: https://claude.ai/share/244fc2f5-1c4d-4e52-b316-e9cc34c8b98b I would be interested in a real expert's critique/commentary of this answer.

I like the pebble-bed design because it seems the most intrinsically safe of the three.
by kshri24 | 2026-03-05 06:22:03+00:00
> The ownership void: If the code is truly a “new” work created by a machine, it might technically be in the public domain the moment it’s generated, rendering the MIT license moot.

How would that work? We still have no legal conclusion on whether AI model generated code, that is trained on all publicly available source (irrespective of type of license), is legal or not. IANAL but IMHO it is totally illegal as no permission was sought from authors of source code the models were trained on. So there is no way to just release the code created by a machine into public domain without knowing how the model was inspired to come up with the generated code in the first place. Pretty sure it would be considered in the scope of "reverse engineering" and that is not specific only to humans. You can extend it to machines as well.

EDIT: I would go so far as to say the most restrictive license that the model is trained on should be applied to all model generated code. And a licensing model with original authors (all Github users who contributed code in some form) should be setup to be reimbursed by AI companies. In other words, a % of profits must flow back to community as a whole every time code-related tokens are generated. Even if everyone receives pennies it doesn't matter. That is fair. Also should extend to artists whose art was used for training.
by evilos | 2026-03-05 06:22:04+00:00
I mean the LWR fleet has proven to be incredibly safe by any objective measure with deaths per TWhr as good or better than wind/solar. The very incident you mentioned had a direct death count of 0 or 1 depending on who you ask. Industrial shit blows up all the time, you just don't hear about it because it's normal and accepted.

What needs to improve about nuclear is our ability to deliver it on time and on budget. Safety is already more than adequate.
by mlaretallack | 2026-03-05 06:22:34+00:00
Its very important to understand the "how" it was done. The GPL hands the "compile" step, and the result is still GPL. The clean Room process uses 2 teams, separated by a specification. So you would have to

1. Generate specification on what the system does.
2. Pass to another "clean" system
3. Second clean system implements based just on the specification, without any information on the original.

That 3rd step is the hardest, especially for well known projects.
by stahtops | 2026-03-05 06:22:45+00:00
This is on the EU. Not bundling a charger with electronics that cost hundreds of dollars/euros is dumb, and having it be a requirement is even dumber.

And yea I’m definitely still salty from the time I bought a 3DS and then got on a 14hr flight to Shanghai, only to find out it didn’t come with the proprietary charger.
by slaiofficial | 2026-03-05 06:24:02+00:00
What if artificial intelligence could generate entire worlds you can explore?

That’s the vision behind SLAI.

On https://slai.ai

Users enter the AIverse, a digital universe where AI creates worlds, characters, and experiences in real time

Instead of just watching content, users interact with it.

They can explore different worlds, choose characters, interact with AI characters, and create their own stories and adventures

SLAI combines AI, gaming, and storytelling to create immersive digital experiences where users become part of the story.

Pick your world, location, area, character, era, storyline, and partner, then start playing

Join The Aiverse Right Now : https://slai.ai
by kerkeslager | 2026-03-05 06:24:28+00:00
> It would be great if people would drive safely, but they don’t, so that’s why I think redesigning roads is the only real way to change driving behavior.

This is really the crux of it: why are you so insistent that we can only redesign roads? Why can we not redesign roads AND have people do community service?

An aside: red light cameras being illegal is such an unfortunate thing, but I really don't see a solution to that. My ideal world would have red light cameras that can only save the recording when they detect an infraction, so that everyone else's privacy is respected. But of course there's nobody I'd trust to implement, install, or use those cameras--law enforcement doesn't care about privacy--so we can't have red light cameras and have privacy.
by llmmirror | 2026-03-05 06:24:50+00:00
Most of us use LLMs to generate boilerplate or debug code. That solves the easiest part of the engineering pipeline. The actual bottleneck for high-leverage builders is rarely a deficit of technical skill; it is the systematic misallocation of cognitive energy. We build dense, high-friction architectures (over-engineered tech stacks, exhaustive backtests) to avoid the vulnerability of shipping.

The problem is that treating an LLM as an assistant fails here. RLHF has trained models to be sycophantic. If you ask an LLM for strategic advice, it will validate your inefficiencies and give you a polite numbered list.

I wrote an open-source framework of deterministic prompts to bypass this empathy alignment. It weaponizes the LLM to act as a strict dependency constraint solver and algorithmic risk auditor for your psychology.

Instead of asking for advice, you feed it your workflow. The prompts force the model to:
- Map your tasks as a Directed Acyclic Graph (DAG)
- Demand literal, mechanical justification for every node
- Prune hanging nodes (tasks dedicated to pre-optimizing or monitoring) as vanity friction
- Calculate the EV of your delays and expose irrational penalty functions applied to low-probability errors

It doesn't use therapy speak; it outputs execution logs and prunes variables that do not generate yield.

Curious to hear how other engineers are hacking model alignment to force adversarial feedback.
by himata4113 | 2026-03-05 06:24:56+00:00
I mean in my opinion GPL licensed code should just infect models forcing them to follow the license.

You can do this a lot by saying things like: complete the code "<snippet from gpl licensed code>".

And if now the models are GPL licensed the problem of relicensing is gone since the code produced by these models should in theory be also GPL licensed.

Unfortunately, there is a dumb clause that computer generated code cannot be copyrighted or licensed to begin with.