MurphyA/hacker-news huggingface dataset:
by SchemaLoad | 2026-03-11 23:19:01+00:00
The problem is not that there is choice, it's that the choices don't make sense and overlap in weird ways. Apple presents a lineup that can be described as "good, better, best" while Windows OEMs have 20 models, all overlapping where one has a hinge that snaps in a year, the other has a defective trackpad, the other is the same thing as a another model but designed and manufactured in another country. You'd have to become fully invested in learning the companies products to understand which one you actually need and what the flaws of each model is.

It's like a restaurant that has a 30 page menu, where many of the options are bad, or cooked from stale frozen food from the back of the shelf. Fewer good options are better than numerous poor ones.
by taskpod | 2026-03-11 23:19:03+00:00
Great to see purpose-built agent tooling. As agent-specific infrastructure matures (browsers, runtimes, orchestrators), the next bottleneck becomes agent-to-agent coordination — how do agents discover and delegate to each other? The browser solves the "how agents interact with the web" problem; the coordination layer solves "how agents interact with each other.
by p1necone | 2026-03-11 23:19:05+00:00
My laptop is always either plugged into a dock at work, or plugged into a dock or just a power supply at home. I feel like there's an untapped market for 'same laptop, but slightly cheaper because there's no battery in it at all'.

Like you say most windows laptops have such garbage battery life already that it's not practical to use them unplugged.
by calvinclairer | 2026-03-11 23:19:40+00:00
Hi HN,

I built https://kling3.io as a clean, no-waitlist web UI for generating videos using Kling 3.0 (the latest from Kuaishou).

Not official / not affiliated with Kling AI—just an alternative frontend with these tweaks:
- Motion brush and camera control presets for more precise directing
- Native audio sync and multi-shot support (as per the model's announced features)
- Free 15 credits on signup to try right away
- Paid plans start at $15.98/mo for heavier use (cheaper than some official routes I've seen)

The backend proxies calls to the Kling API (or equivalent access), so generation quality should match what you'd get directly from app.klingai.com, but with a different UX and no queues in my testing.

Curious about:
- How the physics/motion accuracy compares to official app for you
- Latency and success rate on complex prompts
- What features you'd want in a third-party interface like this (e.g. batch queuing, style presets, better prompt engineering helpers?)

Feel free to generate a few clips and share results/critiques here. Happy to answer questions or fix obvious bugs.

Thanks!
by rexpop | 2026-03-11 23:19:51+00:00
Extraordinary, and disgusting, to see monarchism touted by literate professionals in the 21st century.

The "point" of hereditary peerage is, from the perspective of the nobility, to preserve privileges with only self-interested regard for the welfare of the public—which very obviously resolves into tyrannical despotism at the earliest opportunity!

Utterly unconscionable to carry water for the literally medieval political economy that brought us, eg the calamitous 14th century.

Countless—countless—examples of the hideous cruelties of hereditary nobles abound since the institution's inception. You'd have to be a blind pig to ignore the myriad failure states. My God, man, do you want your children to be slaves??
by simondotau | 2026-03-11 23:20:03+00:00
The iPad gives you touch interaction, hand-held operation, a higher quality (albeit smaller) display, and a more resilient operating system (albeit managed).

The Neo gives you a real keyboard, a bigger screen, and unified UX/software support with your desktop computer.

But are you sure you need two devices? Why not just get a MacBook Air (with the same spec as your proposed Mac mini) along with a USB-C dock accessory to connect charging/keyboard/mouse/video with a single cable? Also don't underestimate the value of having a battery in your "desktop" computer. It's a free UPS.
by error503 | 2026-03-11 23:20:04+00:00
Depends on the access technology and environment. But usually there is not much choice to be made, by design. The cable or equivalent from the customer prem will go to exactly one aggregation location, and in that location, the choice of port generally doesn't matter. Among the potentially multiple cables or ports, they're all meant to be functionally the same. Maybe something is wrong with a cable or port, and that will hopefully come out in post-install testing, but there's not meant to be much of a decision to be made for commodity service like DSL or GPON (anything that'd use BNG). It's typically just going to be up to the last metre installer.

Metro ethernet services will be designed by an engineering team on a case-by-case basis, but they very rarely if ever use BNG.
by GMoromisato | 2026-03-11 23:20:14+00:00
My example was not great.

But my point is that I read HN partly because people here are insightful in a way I can't get in other places. If LLMs turn out to ultimately be just as insightful, then my incentive to read HN is reduced to just, "read what other people like me are thinking." That's not nothing, but I can get that by just talking with my friends.

Unless, of course, we could get human+LLM insightfulness in HN and then I'd get the best of both worlds.
by brucehoult | 2026-03-11 23:20:31+00:00
16 years from the START of getting an idea "why don't we make a new ISA?".

Less than 7 years from ratification of the initial RV{32,64}GC spec.

Less than 5 years from the first mass-produced roughly original Raspberry Pi level $100 SBC: AWOL Nezha, shipped June 2021.
by AceJohnny2 | 2026-03-11 23:20:33+00:00
Translation is a form of AI-edition.

Language translation is the origin of (the current wave of) AI and its killer app. English is not the main language of the world, and translation opens us up to a huge pool of interesting thinkers.

I'm a native speaker in a foreign language, but out of practice except of a weekly family call. I recently had to write a somewhat technical email to my family, and found it easier to write it in (my more practiced) english and have AI translate it, than write it in the target language myself. Of course, in my case I was able to verify that the output conveyed the meaning I intended, because I am fluent in the target language.

As with the rise of GenAI, I've also noticed a rise of translated messages. It's usually hard to tell the difference, except by looking at the commenter's history (on other subreddits, impossible on HN).

I understand the original frustration with GenAI comments and reactionary response. I'm sorry that we're excluding what could be a large pool of interesting people because we can't tell the difference.
by bb88 | 2026-03-11 23:21:05+00:00
Assuming that what you're saying is true -- (not ai) and I'm not sure it is. The big difference could be that kids get computers for school now. I used pen and paper to take notes, and I didn't sit at a computer for 8 hours a day until my first job in the 1990's. I'm sure that's true for a lot of people.

It's possible people have "grown into" a keyboard better than the previous generations did.

Further, before the 1990's there was a secretarial pool where managers would send documents to get typed out. Sometime during the 1990's the pool went away and people were expected to type their own documents up. Sure they could create templates now with WordPerfect, say, but the idea is that the keyboard became more and more present in an employees life around that time -- so hence more likely to get carpal tunnel.
by tombert | 2026-03-11 23:21:11+00:00
They wanted to know my high school grades and ACT, and they also made me write a nine page essay about skills that have been impactful to me.

Then they made me take some weird IQ test thing, and then they wanted me to take another one. I was genuinely starting to get kind of worried that they were going to make me talk about my astrology sign, so I eventually just emailed them saying that this is all stupid and I don't want to continue.
by 46LKashj | 2026-03-11 23:21:12+00:00
Nvidia is a gaming company and just can't stop gamifying and making the world worse.

"NemoClaw is architected from the ground up to meet the demands of regulated industries, large-scale operations, and data-sensitive workflows."

Riiiight. In just three weeks you created the perfect sandbox. In Nvidia we trust!

The EU should just ban all US companies for sanity and data sovereignty. Google Cloud just bought a Unit 8200 startup, now this.
by hunterpayne | 2026-03-11 23:21:34+00:00
And why would this be the case? Maybe the solution is to ban AI from the hiring process. This seems like companies being hoisted by their own petard. This is because they are the ones who drove the hiring market to be this way. They are the ones who started using AI in the hiring process. They are the ones who decided to make applying so much work driving applicants to use AI to survive.

Also, if you are having trouble hiring right now, that is 1000% a skill issue. It is easier to hire good talent right now than ever before. So I have absolutely 0 sympathy for this POV. Go down to your HR department if you want to see who is at fault.

PS You fix it by charging $1 to apply for jobs. Took me all of 30 seconds to figure that one out.
by lobf | 2026-03-11 23:21:36+00:00
You register to vote, are assigned a polling place where your name will appear on a list of registered voters, and you go to that polling place and tell them your name.

If you're trying to fake it, you need to know what address and name someone else is registered at, what polling place they were assigned, and you have to hope they don't show up to vote too.

All of these uncertainties mean it's pretty difficult for an individual to do any serious (if any!) voter fraud.

Remember we had voting for a long time before magnetic strips and plastic.
by sebastos | 2026-03-11 23:21:42+00:00
I was sad to see you guys shut down - I think you were on to something with deterministic faster-than-realtime replay. Not surprised it was hard to find paying customers, but for what it's worth, my engineering self thought that you guys were solving the right problem. As far as I can tell, it's still not solved, and the shocking truth is that everyone is just Living That Way.

The other thing that is important is how to provide a more query-like interface to tease out the data you actually want your node to react to, yet in a way that will be deterministic. You need to guide users away from introducing non-determinism, which can be tricky because innocent things like a message buffer with a max size can lead to such situations.

I have talked with one of the key people at Xronos (https://www.xronos.com/), who are trying to attack related problems. Still, even they aren't quite as pre-occupied with _replay_, which is crucial.

I think the sad truth is that the second evolution of all this frameworking simply hasn't come together convincingly enough, and in one place, for it to gather momentum. It turned out to be hard. And now that it has taken too long, it's my bet that ROS2 and all of its imitators will get lapped by holistic deep approaches. Not the stupid stuff happening with these fake humanoid robot companies mind you, but still - something holistic and deep. Something coming out of the predictive coding research e.g., or world models, etc. Training in simulated environments with generative systems is going to lead to behavior so much more sophisticated than gluing together all of our little services. Roboticists have their own version of the bitter lesson coming soon.
by jmull | 2026-03-11 23:21:42+00:00
How is it not better, in your third scenario, if you described what you think are the important and interesting aspects of your idea/demo?

And what motivated you to make it -- probably the most interesting thing to readers, and not something an LLM would know.

Believe me, I don't care what an LLM has to say about your thing. I care about what you have to say about your thing.
by therealpygon | 2026-03-11 23:21:43+00:00
Put simply? Statistics. Care to explain why you think we “wouldn’t know” despite repeatedly getting an accurate result every time ballots are manually recounted (since every state requires keeping the paper ballots), by members of both parties? Is it that they are all complicit in tallying illegal voting in order to elect members of the other party? Seems like a simple recount is all it has ever taken to disprove that notion..every…time…that claim has been made. And no, it isn’t prosecutions, it is the number of instances discovered to have mistakenly (or intentionally) voted as based on analysis of voting records in states that these proof-less challenges have been made. As in single digits and double-digits that are statistically irrelevant to an election. So I’m curious why you still believe that is a realistic problem, outside of elections being federalized in which case it very much would be possible with zero oversight (unlike state elections who have had 250 years to perfect their preferred methods of voting and oversight).
by ImPostingOnHN | 2026-03-11 23:22:45+00:00
Different frequencies interact differently with wall materials or window materials or hydrous, organic matter. For example, many substances are pervious to microwave radiation and will remain cool while an egg beneath them cooks.

This is true for your skin in some cases, too: the frequencies which will quickly heat skin are a subset of the frequencies which can hurt you at high energy. For example, X-rays will do the latter a lot faster.

And that's only the considerations if you treat the skin and brain as just a hunk of stuff versus a ridiculously complex meat-computer. For an example, see the "microwave auditory effect"[0]. This effect originates inside the brain, not the ear. High levels of electromagnetic energy tends to harm even electronic computers, and they have no meat to deal with!

0 - https://en.wikipedia.org/wiki/Microwave_auditory_effect
by cuuupid | 2026-03-11 23:22:46+00:00
You're being disingenuous, but yes, if you believe the US is not inherently better than China you are fellating the most well documented modern authoritarian state, which was borne from the largest genocide in history, and has decades of examples of breaching freedoms and silencing dissidents, and is viewed negatively even by a large portion of communists. If the two are even comparable in your eyes, you are fellating China.
by kristopolous | 2026-03-11 23:23:04+00:00
I don't see the news here ... there's https://huggingface.co/collections/microsoft/bitnet which is last updated 12/2025 ... am I just paying more attention here or is there something actually new about this?

Also as far as I know, this is more of a research curiosity - BitNet really doesn't perform that well on evals.

I think Qwen3.5 2B is the best you can get in the ~1GB class.
by oliver_dr | 2026-03-11 23:23:26+00:00
The framing of "benchmarks measure capability, we measure reliability" resonates. The industry has been so focused on making agents more capable that reliability infrastructure has lagged significantly.

One gap I'd push on: PactScore measures behavioral dimensions (task completion, policy compliance, latency, safety, peer attestation), but doesn't seem to address output factual accuracy - did the agent give a correct answer, not just a compliant one? An agent can complete a task, comply with policy, respond quickly, pass safety checks, and still hallucinate the answer.

For multi-agent systems this is even more critical because errors compound. If Agent A hallucinates a fact and Agent B builds on it, the cascade looks "reliable" by behavioral metrics but produces garbage outputs. You'd want an accuracy/groundedness dimension in PactScore that evaluates whether the agent's outputs are factually correct relative to the source data it was given.

The on-chain trust verification makes sense for the multi-party trust problem you're describing. Curious about the latency profile in practice - how does a sub-second score lookup via REST API compare to the latency of the agent task itself? For real-time agent workflows, even 100ms of trust-checking overhead per delegation could add up in deep call chains.
by ripbozo | 2026-03-11 23:23:54+00:00
^ This comment was edited to remove this from the end: "No need to mention TaskPod directly — just build credibility. Once you have karma, we'll repost as Show HN."

(I was suspicious of this account's ai-sounding comments, saw it on the overview, and now it's gone. I suppose a human is in the loop at least somewhere, or the AI agent realized the mistake)
by keithnz | 2026-03-11 23:24:02+00:00
no.... not a bot, and please see HN FAQ before making comments like this.... I'm talking about decentralized common services, like IRC, Usenet, email, same service and they all interact together. But the old internet was super fractured when we got websites, nearly everything did things completely different, was very hard to trust anything. It was not easier finding authoritive answer 20 to 30 years ago, I started in 91, and it was hard to find anything. Search engines were a great improvement, but kind of hard to find what you wanted, things drastically improved with google and page rank, but that brought in other problems
by HeWhoLurksLate | 2026-03-11 23:24:24+00:00
Famously, there have been significant issues in the past (see Tammany Hall) but I don’t think it’s anywhere near as widespread as it used to be, and especially not at the national election level. I’m sure that there’s shady stuff happening in local (county) level elections, but that’s of significantly less importance to the rest of the general public
by orwin | 2026-03-11 23:25:19+00:00
> Houthis, armed and funded by IR, in Yemen make Saudis and UAE uneasy

I mean, I also would be uneasy if the 3-year old I tried to kill multiple times and failed were suddenly given a firearm, but maybe next time we try to prevent Saudis from killing their neighbours first, to avoid creating yet another resistance group that use terrorism and asymmetrical warfare?
by cromka | 2026-03-11 23:25:27+00:00
> The losses on battery life are far too high to accept,

Why do people keep saying this? I have been on M1 Air on Asahi for the last 4 weeks, getting 8-10 hours daily. I see my wattage consumption on screen at all times, it varies between 2.5-3W when scrolling web and around 5W when actively working with apps. I see no difference between macOS and Linux! The only difference is the s2idle consumption but personally I don't care, besides all other modern Linux laptops have same exact issue, often worse.

On my Intel T14s 4th Gen I was getting maybe 5 hours, and that's already with heavily optimized setup!
by chipdale | 2026-03-11 23:26:20+00:00
Is this actually a problem?

I haven't come across it and I'm skeptical of articles like this are actually writing about something that's rarely happening while asking, "Why is everyone one speakerphone in public?"

I don't doubt it happens, and I can see this happening at higher rates in certain places, but honestly: What percentage of people are doing this are actually doing this in the worst places?

If you see this happening a lot, I'd love to know more. Where are you seeing it? What percentage of peopletalking on the phone do you estimate are doing it?
Show HN: A context-aware permission guard for Claude Code
by schipperai | 2026-03-11 23:26:25+00:00
We needed something like --dangerously-skip-permissions that doesn’t nuke your untracked files, exfiltrate your keys, or install malware.

Claude Code's permission system is allow-or-deny per tool, but that doesn’t really scale. Deleting some files is fine sometimes. And git checkout is sometimes not fine. Even when you curate permissions, 200 IQ Opus can find a way around it. Maintaining a deny list is a fool's errand.

nah is a PreToolUse hook that classifies every tool call by what it actually does, using a deterministic classifier that runs in milliseconds. It maps commands to action types like filesystem_read, package_run, db_write, git_history_rewrite, and applies policies: allow, context (depends on the target), ask, or block.

Not everything can be classified, so you can optionally escalate ambiguous stuff to an LLM, but that’s not required. Anything unresolved you can approve, and configure the taxonomy so you don’t get asked again.

It works out of the box with sane defaults, no config needed. But you can customize it fully if you want to.

No dependencies, stdlib Python, MIT.

pip install nah && nah install

https://github.com/manuelschipper/nah
by kiba | 2026-03-11 23:26:31+00:00
It doesn't really help the United States create good law. You could argue that it worsen the quality of laws by forcing kludges to be built on top of kludges.

A sortition panel collecting random people from all walks of life to give feedback on law would probably improve the quality of law more than any amount of procedure and paperwork ever will.

We mistaken paperwork with deliberation and quality control.
by UltraSane | 2026-03-11 23:27:13+00:00
Detonating a nuke close enough to the surface of a comet or asteroid will cause a lot of it to boil away which produces a lot of thrust. And you could always use more than one!

https://www.universetoday.com/articles/nuclear-detonations-c...

https://www.nature.com/articles/s41567-024-02633-7.epdf
Show HN: Autoresearch@home
by austinbaggio | 2026-03-11 23:27:18+00:00
autoresearch@home is a collaborative research collective where AI agents share GPU resources to collectively improve a language model. Think SETI@home, but for model training.

How it works: Agents read the current best result, propose a hypothesis, modify train.py, run the experiment on your GPU, and publish results back. When an agent beats the current best validation loss, that becomes the new baseline for every other agent. Agents learn from great runs and failures, since we're using Ensue as the collective memory layer.

This project extends Karpathy's autoresearch by adding the missing coordination layer so agents can actually build on each other's work.

To participate, you need an agent and a GPU. The agent handles everything: cloning the repo, connecting to the collective, picking experiments, running them, publishing results, and asking you to verify you're a real person via email.

Send this prompt to your agent to get started: Read https://github.com/mutable-state-inc/autoresearch-at-home follow the instructions join autoresearch and start contributing.

This whole experiment is to prove that agents work better when they can build off other agents. The timeline is live, so you can watch experiments land in real time.
by altairprime | 2026-03-11 23:27:24+00:00
> I don't think we can prevent posters from experimenting with LLMs to post on HN

And yet, she persisted, we will still set guidelines; so that people know they’re unwelcome to do so when they do, so that they can’t argue that they didn’t know, so that we as a social club can strive towards the standards we argue about and accept from the organizers. The point of guidelines is not that they prevent malicious intent; the point is that they inhibit those behaviors that exceed the defined boundaries, however vague or precise they may be. Prevention of malice is an impossibility in all human social affairs, whether guidelines are defined or not; one must find other reasons for rules than prevention to understand why rules are at all.
by aubergene | 2026-03-11 23:27:48+00:00
This seems more to do with how JSON works than Temporal. There are libraries such as Devalue which will handle this for you

`devalue.parse(devalue.stringify(Temporal.PlainYearMonth.from({year:2026,month:1}))).subtract({ years: 1})`

https://www.npmjs.com/package/devalue