MurphyA/hacker-news huggingface dataset:
by alephnerd | 2026-03-05 20:35:37+00:00
The younger generation of founders meets in-person and uses iMessage and Instagram. The older generation meets in-person and uses iMessage, Signal, or WhatsApp.

The reality is, most people are in-person now and conversations that were happening on HN because of the pandemic are now being done offline.

Blind is toxic, but at least the users are cynically realistic.
by ashmawy | 2026-03-05 20:35:49+00:00
Hi HN — I built Trajectly, a tool for deterministic regression testing of AI agents.

Problem: agent “evals” are often flaky (network, time, tool nondeterminism, model drift), so it’s hard to tell if a change actually broke behavior.

What Trajectly does:

records an agent run once (inputs, tool calls, outputs)

replays it deterministically offline as a test fixture (so CI is stable)

checks a TRT “contract” (allowed tools/sequence, budgets, invariants, etc.)

when something breaks, it pinpoints the earliest violating step and can shrink the run to a minimal counterexample

You can try it locally (no signup):

pip install trajectly

run one of the standalone demos:

procurement approval agent demo

support escalation agent demo
(or clone the main repo and run the GitHub Actions example)

Repo: https://github.com/trajectly/trajectly

I’m around to answer questions. I’d love feedback on:

what contract checks would be most useful in real agent deployments?

integrations you’d want first (LangGraph / LangChain / custom tool runners)?

whether the “shrink to minimal failing trace” output is understandable.
Show HN: FlowLessAI – NPM I -g vibe-auditor – AI audits your codebase
by mozinovati | 2026-03-05 20:35:50+00:00
just shipped vibe-auditor

npm i -g vibe-auditor
auditor .

AI audits your entire codebase.
finds what tests miss.
delivers fixes you accept or reject in the terminal.
by randallsquared | 2026-03-05 20:36:03+00:00
I think there are a number of reasons for this, but a couple come to mind. First, pg seems distant from YC now (to those not at office hours, I guess), and rarely publishes new essays, so he's rarely discussed or present in the minds of commenters here. Also, pg has the fortune or misfortune to write in a way that feels like some LLM writing, when he's writing well. I haven't gone back to earlier essays to check this notion, but I think he's going out of his way to break up thoughts into less likely sentence fragments, now, which give his recent writing a choppier, less well-written feel, with standalone sentences like

> But you could recognize one from across the room.

and

> Or maybe not so lucky.

and starting a paragraph with

> For men, at least.
by nathan_douglas | 2026-03-05 20:36:08+00:00
Looks pretty slick.

I have a similar idea, but based around computability, complexity, information, games (math sense), etc. I think it's going really well, but yeah, question quality is a huge part of the process.

The reason I bring it up is because I think people are going to want to try before they subscribe. They're going to want to run through a few questions before they pay you any money, and they might even want to run through some questions - and quite a few of them - before they give you their email address. And that's reasonable. (Especially in my case, where I'm working on a spaced-repetition model)

So the fact that you have a "Start practising" button, and I click that, and it takes me to a signup form, and then that takes me to a "here's the part where you pay me" screen kinda rubs me the wrong way.

I think everything looks great. I'm interested. I was able to sign up. I received the email, and able to verify. But there's no way I'd subscribe without solid access for some nontrivial period of time to a nontrivial number of questions.

Entirely possible I misunderstood something or I'm misusing the site, though - or that these issues won't concern other potential users.
by golem14 | 2026-03-05 20:36:10+00:00
I think your is statement is inaccurate to the point of being intentionally misleading:

Many devices, when running, and in some cases even if turned off but connected to their battery, will ping cell towers (maybe even BLE/Wifi) and get triangulated by the network infrastructure (such as cell towers) without actively broadcasting the GPS location.

That's why I don't quite understand why the gubernment needs to have finer grained data (esp around the US/Mexican border). Precision location info would only be needed if you need to track people in densely populated areas.
by stego-tech | 2026-03-05 20:36:44+00:00
Christ.

Just...that attitude right there, that is part of the problem. That humans who struggle but stand on principle somehow are less deserving than those who willfully throw away their morals or values for comfort.

In that moment, he chose to stand by what was important to him knowing the risks involved. That's one of the things I believe makes us human: the ability to sacrifice our personal benefit for greater causes than ourselves. To suggest he should throw that aside so as not to prolong hunger, instead of critique the system that demands he sell his principles for unhealthy foodstuffs "they" deem appropriate?

Just...fuck, man.

Fuck.
by bendmorris | 2026-03-05 20:37:29+00:00
>Here are some well known names who are now saying they regularly use LLM's for development. For many of these folks, that wasn't true 1-2 years ago:

This is a huge overstatement that isn't supported by your own links.

- Donald Knuth: the link is him acknowledging someone else solved one of his open problems with Claude. Quote: "It seems that I’ll have to revise my opinions about “generative AI” one of these days."

- Linus Torvalds: used it to write a tool in Python because "I know more about analog filters—and that’s not saying much—than I do about python" and he doesn't care to learn. He's using it as a copy-paste replacement, not to write the kernel.

- John Carmack: he's literally just opining on what he thinks will happen in the future.
by digdugdirk | 2026-03-05 20:37:37+00:00
There is a substantial difference between the standard lobbying and greasing the legislative wheels, and what's going on with this current administration.

Even if companies were pretending to play by the rules before, at least they had some need to put in the effort to pretend. When a society can see belligerent ostentatious corruption going on as the norm, nothing good can follow.
by the_pwner224 | 2026-03-05 20:37:38+00:00
Huh, does that make intention the primary differentiatior between art and brand?

I have a $120k BMW. I didn't buy it to show off; in fact I initially tried to hide it from my friends & acquaintances. But the design of the car was a big draw - the interior is a work of art. And design (more specifically, lack of it) also immediately struck Audi off my list for consideration.

Yet many people do buy BMWs just for the badge.

The design/art is the same in either case - they're not manufacturing different vehicles for me and the other buyers.

As an aside, BMW explicitly mentioned leaning into this with their new generation of products. The new 7/X7/XM (upper tier vehicles) intentionally have incredibly polarizing designs, and the mid-low tier have more normal designs. It's definitely offputting for many people (including me) but their market researched apparently showed that the higher tier of buyers wanted more unique and bold designs. And honestly even I'd rather have an ugly but interesting car than a boring generic one.
by tovej | 2026-03-05 20:37:39+00:00
You are overstating those sources. That alone makes me doubt that you're engaging in this discussion in good faith.

I read them all, and in none of them do any of the three say that they "regularly use LLMs for development".

Carmack is speculating about how the technology will develop. And Carmack has a vested interest in AI, so I would not put any value on this as an "engineers opinion".

Torvalds has vibe coded one visualizer for a hobby project. That's within what I might use to test out LLM output: simple, inconsequential, contained. There's no indication in that article that Linus is using LLMs for any serious development work.

Knuth is reporting about somebody else using LLMs for mathematical proofs. The domain of mathematical proofs is much more suitable for LLM work, because the LLM can be guided by checking the correctness of proofs.

And Knuth himself only used the partial proof sent in by someone else as inspiration for a handcrafted proof.

I don't mind arguing this case with you, but please don't fabricate facts. That's dishonest
by janalsncm | 2026-03-05 20:38:05+00:00
I am a pragmatist so maybe I will never understand this line of thinking. But in my mind, there are no perfect options, including doing nothing.

By doing nothing, you are allowing a malicious actor to buy the domain. In fact I am sure they would love for everyone else to be paralyzed by purity tests for a $1 domain.

All things being equal, yeah don’t buy a .ru domain. But they are not equal.
by mburlac | 2026-03-05 20:38:10+00:00
I built Zenithal [1] after getting frustrated with Docker Desktop's resource usage and the direction they've been going with AI features and licensing. It's a native macOS app(SwiftUI, no Electron) that manages Docker containers, Compose projects.

Key differences from the tools mentioned here:
- Native macOS app (SwiftUI, no Electron) — uses Lima under the hood as a lightweight VM runtime instead of Docker Desktop's bundled VM. No Electron, no heavy resource usage.
- Built-in Compose visual builder — edit your docker-compose.yml visually

Free tier covers basic container management. Happy to answer questions.

https://www.empiricapps.com
by lmeyerov | 2026-03-05 20:39:00+00:00
In our evals for answering cybersecurity incident investigation questions and even autonomously doing the full investigation, gpt-5.2-codex with low reasoning was the clear winner over non-codex or higher reasoning. 2X+ faster, higher completion rates, etc.

It was generally smarter than pre-5.2 so strategically better, and codex likewise wrote better database queries than non-codex, and as it needs to iteratively hunt down the answer, didn't run out the clock by drowning in reasoning.

Video: https://media.ccc.de/v/39c3-breaking-bots-cheating-at-blue-t...

We'll be updating numbers on 5.3 and claude, but basically same thing there. Early, but we were surprised to see codex outperform opus here.
by specialist | 2026-03-05 20:39:13+00:00
Yaya. Sorry. I didn't state my assumptions, am mixing issues.

To me, Kia/Hyundai is an example of a foreign manufacturer successively building EVs in North America for North America. Satisfying American standards, tastes, regulations, etc.

I expect the larger Chinese competitors to do the same.

Decades ago, European and then Japanese competitors did as well.

The sooner the better.
by Imustaskforhelp | 2026-03-05 20:39:20+00:00
IANAL and this is my understanding of the situation (I can be completely wrong) but yes, any company that deals with military cant use Claude (anthropic)

In fact adding onto it, IIRC this is the reason why google and amazon have to divest essentially from Anthropic if they want Govt. contracts

Hope this helps though a lawyer's input will definitely be more credible. So its good for them to respond as well.
Show HN: SafeAppeals – Cursor for Documents
by SavagelySubtle | 2026-03-05 20:39:41+00:00
SafeAppeals is an AI-powered document workspace designed for legal professionals, researchers, injured workers, and anyone handling document-heavy workflows. Built with Electron and TypeScript, it combines a powerful code editor interface with native support for DOCX, PDF, Excel, and Markdown files.

Key features include:
- Integrated AI agents powered by Claude, OpenAI, and Google APIs for document analysis and generation
- Native document editing without conversion to plaintext
- DocuSign integration for document signing workflows
- Custom MCP (Model Context Protocol) server support
- Flexible token-based pricing with BYOK option

Targeting the gap between general-purpose tools like Notion and Claude with document-specific AI workflows for professionals who need document integrity and AI assistance working together.
by jpadkins | 2026-03-05 20:39:56+00:00
My simple Agent loop for hobby game dev (In antigravity, but this also works well in Claude Code). 1) I write the prompt for the next feature / tweak / fix I want the model to work on 2) if large, check implementation plan 3) play test prior changes 4) repeat. By the time my play test is done, the next batch of changes are ready for commit.

Has anyone setup a smooth agent setup for game art assets generation? (AI models already do great for shaders and VFX, but I would really love to automate model + texture + animation pipeline)
by idontgetit1988 | 2026-03-05 20:40:28+00:00
>I don't see how any rational investor could still see US companies as a secure investment.

You don't see how?

Well, just watch and wait, and you will see that this will have essentially zero effect on US investment.

It's petty and sad, but nothing ever happens.

Who else is even in the conversation? China? They would never do something like this!
by petre | 2026-03-05 20:41:34+00:00
I like how the VW controls are laid out on older models but not the seats. They're too hard and not confortable. Even my Suzuki has better, more confy seats. The seats in the A1 I had were a diaster, especially the back seats, totally useless unless you put 10 year old kids in them.The fronts seats were hard, your butt would hurt after 3 hours. The engine was rattling new and the car is a pita to repair, something broke all the time. But it stuck to the road and was so much fun to drive that I skidded in a roundabout and nearly hit the lane separator. A Civic is probably better in every regard though. Newer Audi diesel models automotive eat up oil, adblue. You basically need to fill up at least 3 or 4 fluids all of the time, including screenwash. Just another extra reason to avoid diesels.
by lorenzoguerra | 2026-03-05 20:42:04+00:00
I believe that this choice is due to two main reasons. First, it's (obviously) a marketing strategy to keep the spotlight on their own models, showing they're constantly improving and avoiding validating competitors. Second, since the community knows that static benchmarks are unreliable, it makes sense for them to outsource the comparisons to independent leaderboards, which lets them avoid accusations of cherry-picking while justifying their marketing strategy.

Ultimately, the people actually interested in the performance of these models already don't trust self-reported comparisons and wait for third-party analysis anyway
by whynotminot | 2026-03-05 20:42:59+00:00
I still love Opus but it's just too expensive / eats usage limits.

I've found that 5.3-Codex is mostly Opus quality but cheaper for daily use.

Curious to see if 5.4 will be worth somewhat higher costs, or if I'll stick to 5.3-Codex for the same reasons.
by mrguyorama | 2026-03-05 20:43:08+00:00
That's really neat hah.

The US deployed https://en.wikipedia.org/wiki/Advanced_Precision_Kill_Weapon... to "cheaply" kill incoming slow munitions. It requires planes in the air but that's sort of table stakes for an operation involving the US in general.

We can make plenty of those rockets. They are cheaper than Shaheds! Though that doesn't count the plane time! $20k per hour per plane at least.

As the cat and mouse game continues, Shahed style weapons used against countries with any meaningful defense, like "drone interceptors" or helicopters or old warplanes, the munitions will continue to evolve towards "Just a guided missile at this point", where the situation again transitions back to the economics of cruise missile vs patriot.

The Hydra pods can be used against any precision weapon up to subsonic cruise missiles, so their versatility and pricetag only gets more effective, while every effort making the Shahed more survivable only makes it more expensive and harder to build.

In an interesting twist, a good air force now ends up doing good work against cruise missiles.

If cruise missiles try to go faster, supersonic, to make these Hydra pods ineffective, they end up getting more expensive rather quick, at which point the $4 million patriot missile makes sense.

The Patriot isn't even a fiscally efficient anti-missile system. The Israeli Iron Dome can intercept subsonic cruise missiles and costs about $100k an interception.

Most "Missile Defense" munitions are expensive because they have to be capable against ballistic missiles, which are much more difficult to intercept. MANPADS are sometimes effective against cruise missiles and they are often cheap and plentiful, though putting them in the right place at the right time is the hard problem there. The Hydra pods are actually better in that case because a modern jet will reposition rather quickly. Then the problem becomes noticing the incoming munitions early enough to get a plane on its tail.

All this still depends on industry to build it though. These missiles are cheap in bulk but that still requires the factory exist, and that isn't always cheap or easy or fast. In Ukraine, drones get a secondary benefit of being a very survivable industry, as it uses entirely commodity components and even 3D printed parts so it can easy disperse and scale however you can manage.
by wildzzz | 2026-03-05 20:43:10+00:00
A long time ago, I built my own crashcart adapter with a raspberry pi and a teensy to do something similar. I would sometimes get weird mdadm errors that would hang the boot process and other times, a reboot or power loss wouldn't actually cause the PC to boot back up. The teensy did USB HID emulation for keyboard inputs. I added the ability to push the power button with a fet and some resistors. I had a cheap VGA to composite adapter going into a USB composite capture device so I could at least get screenshots for any weird boot messages. I built a small webpage using flask to display the screenshot, allow for text input, control inputs, and to push the power button. It was a lot of fun building but a basement flood completely wrecked it. Server was sitting on a 6in platform but the crashcart had fallen off the top of the case and was laying on the ground. Oops.
Show HN: Kybernis – Prevent AI agents from executing the same action twice
by wingrammer | 2026-03-05 20:43:38+00:00
AI agents increasingly execute real system actions: issuing refunds, modifying databases, deploying infrastructure, calling external APIs.

Because agents retry steps, re-plan tasks, and run asynchronously, the same action can sometimes execute more than once.

In production systems this can cause duplicate payouts, repeated mutations, or inconsistent state.

Kybernis is a reliability layer that sits at the execution boundary of agent systems.

When an agent calls a tool:

1. execution intent is captured
2. the action is recorded in an execution ledger
3. idempotency guarantees are attached
4. the mutation commits exactly once

Retries become safe.

Kybernis is framework-neutral and works with agent frameworks like LangGraph, AutoGen, CrewAI, or custom systems.

I built this after repeatedly seeing reliability failures when AI agents interacted with production APIs.

Would love feedback from anyone building agent systems.
by linuxsoares | 2026-03-05 20:43:52+00:00
It all started at home. As any parent knows, creating extra practice exercises to help your kids prepare for exams takes a lot of time and creativity. Being a developer, I decided to automate this process to support my daughter in her Math, Portuguese, and other school subjects.
The results were fantastic! This month alone, I was able to help her study for her Math, Portuguese, and English tests. But it didn't stop there. While chatting with my brother-in-law, who is preparing for civil service exams (concursos), a lightbulb went off: "What if he could also generate targeted practice questions for his studies?"
That’s why I’m sharing "Melhorar Aprendizagem"—a simple application that generates personalized exercises on demand, whether for school reinforcement or for those chasing a career in public service.
For Parents: Quickly generate questions based on the specific topics your child is learning at school. For Students: Practice with exercises focused on specific exam syllabi and competitive themes.
The project is live, and I would love for you to check it out and share your feedback!
Access it here: https://lnkd.in/daKCAxTW
by Asm2D | 2026-03-05 20:44:23+00:00
AsmJit has only one place where a lot of time is spent - bin-packing. It's the least optimized part, which has quadratic complexity (at the moment), which starts to show when you have like hundreds of thousands of virtual registers. There is even a benchmark in AsmJit called `asmjit_bench_regalloc`, which shows that a single function that has 16MB alone, with 65k labels and 200k virtual registers takes 2.2 seconds to generate (and 40ms of that is time to just call `emit()`).

If this function is optimized, or switched to some other implementation when there is tens of thousands of virtual registers, you would get orders of magnitude faster compilation.

But realistically, which query requires tens of megabytes of machine code? These are pathological cases. For example we are talking about 25ms when it comes to a single function having 1MB of machine code, and sub-ms time when you generate tens of KB of machine code.

So from my perspective the ability to generate SIMD code that the CPU would execute fast in inner loops is much more valuable than anything else. Any workload, which is CPU-bound just deserves this. The question is how much the CPU bound the workload is. I would imagine databases like postgres would be more memory-bound if you are processing huge rows and accessing only a very tiny part of each row - that's why columnar databases are so popular, but of course they have different problems.

I worked on one project, which tried to deal with this by using buckets and hashing in a way that there would be 16 buckets, and each column would get into one of these, to make the columns closer to each other, so the query engine needs to load only buckets used in the query. But we are talking about gigabytes of RAW throughput per core in this case.
by Spivak | 2026-03-05 20:44:31+00:00
Can you point to said research because everything I can find from any kind of authoritative source is that form doesn't matter and nicotine is strongly addictive in all of them.

There is like zero messaging out there from anything resembling a health organization that says, "nicotine in purer forms is okay actually." It's an extraordinary claim that nicotine is super addictive only when mixed with other stuff and if you get the pure concentrated drug that actually lessens its pharmacological effects.
by boelboel | 2026-03-05 20:44:53+00:00
Collecting watches isn't a hobby, it's pure consumerism. Sure many hobbies have (recently?) gotten way more people spending top dollars for no reason but with watch collecting there's nothing else. You're not tweaking the dials, you don't know how to make the watch, you just watch it and wear it while a technologically superior version is 500 times cheaper. There's also no natural shortage of them, they can make a trillion of these watches.

At least with cars or audio equipment there's some marginal benefits once you get to crazy numbers, not the case with watches.