MurphyA/hacker-news huggingface dataset:
Show HN: Recursively apply patterns for pathfinding
by seveibar | 2026-02-24 21:51:11+00:00
I've been begrudgingly working on autorouters for 2 years, looking for new techniques or modern methods that might allow AI to create circuit boards.

One of the biggest problems in my view for training an AI to do autorouting is the traditional grid-based representation of autorouting problems which challenges spatial understanding. But we know that vision models are very good at classifying, so I wondered if we could train a model to output a path as a classification. But then how do you represent the path? This lead me down the track of trying to build an autorouter that represented paths as a bunch of patterns.

More details: https://blog.autorouting.com/p/the-recursive-pattern-pathfin...
by StopDisinfo910 | 2026-02-24 21:51:23+00:00
I don't think it explains everything.

I think social norms have a lot to do with it. It's like the actual social costs of being the one who broke the social trust is so high it dissuades people.

It worked for me on a lower level. Everyone cut queues and will grab an empty seat if it looks available at a packed restaurant here so I do it too but I never did that when I lived in Singapore because I knew that's not how things work there and people would genuinely be mad at me for doing it.

It's like a self-fulfilling, self-improving environment. Same with Japan and cleanliness.

State provided housing for most and a booming economy with low unemployment must help too.
by drcongo | 2026-02-24 21:51:25+00:00
Thanks for popping by! Feature parity with 1Password would actually count against you, it's so bloated with stuff only huge enterprises need now, and all its best features have been removed over the last few years. I checked our 1Password billing and it seems we're paid up until Dec 2027, so if you've got good passkey support by then you may well have a new customer.
by bigyabai | 2026-02-24 21:51:29+00:00
They're cursory gestures at best, and stark condemnations of US manufacturing capacity at worst. The Mac Mini and Mac Pro are not complex or dense electronics in the slightest. They're carrier enclosures for TSMC technology, you could probably make them in Siberia if you wanted to.

The hard part is manufacturing Apple's high-volume hardware, namely the iPhone. That is not anywhere close to being onshored, and Apple seemingly has no interest in even attempting it if Indian labor is still an option.

As Tim Cook put it: "In the US, you could have a meeting of tooling engineers, and I’m not sure we could fill the room. In China, you could fill multiple football fields..."
by ceejayoz | 2026-02-24 21:51:46+00:00
https://en.wikipedia.org/wiki/Perfidy

> It is prohibited to kill, injure or capture an adversary by resort to perfidy… The following acts are examples of perfidy… The feigning of civilian, non-combatant status...

(Assassinating a paralyzed patient in a hospital is also not typically - ahem - kosher.)
by 5o1ecist | 2026-02-24 21:51:47+00:00
Accuracy.

> Elon sells dreams and visions, not really products.

Do you want me to pull out a list, or can you google it for yourself?

Sure, he also sells dreams and visions. Sure, all the dumb money is going to regret it once the smart money dumps on them.

Yet, claiming he doesn't really sell products (and or services, which he also does) is absolutely ridiculous.
by zippothrowaway | 2026-02-24 21:51:49+00:00
Nope. The only "all indications" are that they say so. They may be making a profit on API usage, but even that is very suspect - compare against how much it actually costs to rent a rack of B200s from Microsoft. But for the millions of people using Codex/Claude Code/Copilot, the costs of $20-$30-$200 clearly don't compare to the actual cost of inference.
Show HN: I solo-built Sovereign-Mohawk – FL with 500K nodes and 55% BFT
by rwilliamspbgops | 2026-02-24 21:52:12+00:00
The Problem:Standard Federated Learning (FL) hits a wall at scale. When you move from a few hundred nodes to 500,000, two things happen: communication overhead explodes ($O(n)$ or $O(n^2)$), and the "honest majority" assumption falls apart. Most BFT systems (like PBFT or HotStuff) are hard-capped at <33% or <50% malicious actors.The Breakthrough:I developed the Sovereign-Mohawk Protocol. In a stress test conducted yesterday, it successfully coordinated 500,000 nodes in 4 minutes and 8 seconds, maintaining model accuracy even with 55.5% of nodes acting maliciously (gradient poisoning and sybil attacks).How it works (The TL;DR):Hierarchical Streaming Aggregation: Instead of a central parameter server, Mohawk uses a tree-based batching architecture. This drops communication complexity to $O(d \log n)$.Tiered Rényi Differential Privacy: I integrated DP directly into the consensus layer. By using Rényi DP ($\epsilon = 0.98$), we can filter outliers (malicious gradients) more aggressively than standard median-based aggregators.zk-SNARK Verifiability: Every aggregation step generates a 200-byte proof. The central coordinator can verify the integrity of 500,000 contributions in constant time without re-computing the gradients.The Stress Test Results (Feb 24, 2026):40% Byzantine: 86.6% accuracy | 9.1s avg round time.50% Byzantine: 85.8% accuracy | 10.5s avg round time.55.5% Byzantine: 81.0% accuracy | 9.9s avg round time (The theoretical "Mohawk Limit").Why Solo?I wanted to prove that Sovereign AI infrastructure doesn't require a Google-sized team. This implementation is written in Go with a Wasmhost, allowing it to run on anything from an NVIDIA Jetson to an Apple Silicon NPU.Links:Repo: Sovereign Map Federated LearningResearch/Docs: Sovereign-Mohawk Protocol SiteI'm particularly looking for feedback on the BFT boundary proofs. Is $55.5\%$ the absolute limit for DP-weighted aggregation, or can we push to 60% with higher noise injection?
by advisedwang | 2026-02-24 21:52:18+00:00
I actually had a similar thing happen with gvfs-fuse (Google drive). It was a bug in gvfs using the quota usage of a file as it's file size (because libgdata didn't provide a method to get file size), but I was using a file shared to me so it had zero quota usage.

All of which is to say I would bet on something in the webdav-nextcloud line being at fault instead of keepassxc.
Show HN: An "earned autonomy" architecture for AI agents using Subjective Logic
by ken_neth | 2026-02-24 21:52:38+00:00
Most agent systems treat autonomy as binary: the agent either does the thing or asks permission first. In practice, this means you end up rubber-stamping a stream of approval requests until you stop paying attention. The system designed to keep you in control trains you to stop caring.

To manage operations for my independent video game studio, I built a trust system that works more like onboarding a new hire. Agents start in draft mode (every action needs approval), and earn autonomy over time based on their track record in specific task categories.

The core idea: each agent maintains a separate Beta distribution per task category (support triage, expense reports, publisher emails, etc.). A Beta distribution is basically a track record parameterized by successes and failures. But raw E[p] = α/(α+β) can't tell the difference between "9 successes, 0 failures" and "90 successes, 10 failures" since both give E[p] = 0.90. So I use Jøsang's Subjective Logic to map these to opinion tuples that explicitly separate belief from uncertainty. High uncertainty means "not enough data yet," which is different from "we know this agent is bad."

Every action passes through a gate:

VoI = stakes × (1 - trust) × uncertainty

Low VoI = auto-execute. High VoI = draft for human review. Static trust thresholds set the maximum autonomy level an agent can reach (Auto-Execute, Soft-Execute, Draft, Restricted), and VoI acts as a secondary gate that can restrict it further based on context — an agent might qualify for auto-execute in general, but a high-stakes situation still gets flagged.

Three things that made the biggest difference:

1. Edit distance feedback. If you rewrite half an email before hitting "approve," the system notices. A 0% edit = full trust credit. A 71%+ rewrite = penalty. This single change prevented agents from reaching auto-execute on work users were quietly fixing.

2. Time-based decay. Trust scores decay daily for inactive categories (λ = 0.95). If an agent hasn't done a task in two months, it gets supervised again. This also handles model upgrades, since the track record was earned on a different model.

3. Weakest-link chains. Multi-step workflows (send welcome email → create project → schedule meeting → notify team) use a weakest-link model. If any step needs approval, the whole chain surfaces as one inbox item. Nothing runs until you approve the full picture.

The core mapping from track record to opinion looks like this:

def beta_to_opinion(alpha, beta, base_rate=0.5):
n = alpha + beta
return Opinion(
belief=(alpha - 1) / n,
disbelief=(beta - 1) / n,
uncertainty=2 / n,
base_rate=base_rate,
)

The math is all well-established (Beta distributions, Subjective Logic, Value of Information). The part that worked was combining them into something that mirrors how trust actually develops between people.

Article with full implementation details, code examples, and diagrams: https://kenschachter.substack.com/p/earned-autonomy
by array_key_first | 2026-02-24 21:53:16+00:00
If Ford was around today, I imagine he would get a lot of shit for that. So, I'm not sure what your point is.

The big picture is that musk is obviously both mentally unstable and overall a piece of shit person. You might say that doesn't matter. I think most people think it does.

When those types of people get to make big decisions, they usually make bad or shortsighted ones.

In US politics, we have two big problems: people get to make decisions far too big for them simply because of their wealth, and those people are often the absolute bottom of the barrel of humanity who shouldn't be trusted to tie their own shoes, let alone pivot our country in any direction.
A small tool I made for local LLMs: LLM-neofetch-plus
by HFerrahoglu | 2026-02-24 21:53:18+00:00
Hey everyone!

I've had this in mind for a while, and I finally did it: it shows system information like regular NeoFetch, but I've added extra features for those using local LLMs (Ollama, llama.cpp, etc.).

For example:
-How much VRAM does your GPU have, which model (NVIDIA, AMD, Intel, Apple M series)?
-How many billions of parameters can your machine comfortably run (is 70B or 13B more sensible?)
-Which GGUF quantization does what (Q4_K_M vs Q8_0 vs)?
-Comparison of Ollama / llama.cpp / vLLM / LM Studio
-Disk speed test + JSON/Markdown export

Simple installation:
pip install llm-neofetch-plus

llm-neofetch -d 3 ← This is the detailed version, showing suggestions etc.

GitHub: https://github.com/HFerrahoglu/llm-neofetch-plus

If anyone tries it, could you tell me if you liked it or not, and what we should change? Thanks!
by bilekas | 2026-02-24 21:53:35+00:00
Ehhhh, you have some elementary points, but the market, is in theory, self adjusting right? So the 'idea' of trickle down is a real thing.

It's not as dramatic or loud as something like OpenAI. But consider it as access to loans to fund a new business, the idea is you'll fund a company and gain some sales and employment, money moves around so happy. Basic stuff.

You've shot too far and considered everything black and white. You build a factory if demand is high and it can increase supply while making profit..

> We really, really needed some capital (by which I just mean investor-money, not real productive assets) destruction in the '08 crisis, and we didn't get it.

No, but that wasn't where the majority of money was locked up in poop, so maybe you might get at best a 90's dotcom bust. I'm old and I remember it was apocolyptic. But Maybe it's due.
by yonaguska | 2026-02-24 21:53:52+00:00
> Also, they are insanely antisemitic and believe most Jews will go to hell.

A good chunk of them are insanely pro-semitic as well, as they adopt the dual covenant belief that Jews will actually also go to heaven as well as Christians. I've actually never met anyone that adhered to the pro-zionist dispensationalist view that fully thought out the implied consequences, then proceeded to harbor a personal hatred of Jews. The vast majority of them love all things Jewish and hold them in high regard.
Show HN: Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
by petewarden | 2026-02-24 21:54:07+00:00
I wanted to share our new speech to text model, and the library to use them effectively. We're a small startup (six people, sub-$100k monthly GPU budget) so I'm proud of the work the team has done to create streaming STT models with lower word-error rates than OpenAI's largest Whisper model. Admittedly Large v3 is a couple of years old, but we're near the top the HF OpenASR leaderboard, even up against Nvidia's Parakeet family. Anyway, I'd love to get feedback on the models and software, and hear about what people might build with it.
by DaiPlusPlus | 2026-02-24 21:54:23+00:00
> ...consume nothing but legacy news outlets.

I think you mean US rolling news channels (specifically, Fox, MSNBC/MSNOW, etc)? Because there's plenty of "legacy" news I consume that certainly don't give me that impression (for example, The Economist). I suppose it matters that it's news that I'm paying for, as opposed to being free but ad-supported, and being print vs. TV - so they have different incentives and pressures.
by selridge | 2026-02-24 21:54:49+00:00
In my experience, all text “instruction” to the agent should be taken on a prayer. If you write compact agent guidance that is not contradictory and is local and useful to your project, the agent will follow it most of the time. There is nothing that you can write that will force the agent to follow it all of the time.

If one can accept failure to follow instructions, then the world is open. That condition does not really comport with how we think about machines. Nevertheless, it is the case.

Right now, a productive split is to place things that you need to happen into tooling and harnessing, and place things that would be nice for the agent to conceptualize into skills.
by TZubiri | 2026-02-24 21:55:30+00:00
This is a terrible response as a Software Developer by the way. You can just use this to ignore any security concern.

It signals that you don't care much about security, and that you don't care about non-technical users, and don't even have the capacity to see how they view a system.

Sure, you can analyze domain names effectively, you can distinguish between an organic post and an ad, you know the difference between Read and Write permissions to system files, etc...

But can you put yourself on the shoes of a user that doesn't? If not, you are rightfully not in a position as a steward of such users, and Google is.
by mnw21cam | 2026-02-24 21:55:45+00:00
It's certainly possible to find people who care about doing a job properly in a western society. Paying a bit more has been suggested on another post as a method of trying to achieve that, but I'd argue that that is necessary but not sufficient. You need to not only pay people a bit more, but also screen them very carefully for the attitude of doing the job properly.

It is a cultural problem. Just paying a bit more won't fix it. By paying a bit more, you might be able to get a larger share of the limited portion of people in the society that care, but you're not changing the people fundamentally, just being more selective.
by bamboozled | 2026-02-24 21:56:25+00:00
I don’t like it but it was a war. October 7 was a declaration of war. I heard almost no one complain about the “war on terror” and I’m sure similar collateral occurred.

For some reason people forget the pearl harbour event that happened before it all kicked off ?

Not trying to say it’s fine to bomb a hospital, but it doesn’t seem fair to single out the IDF. Do you whine about Hiroshima ?
by dang | 2026-02-24 21:56:49+00:00
> submission numbers in the last couple months have nearly doubled with respect to the stable numbers of previous years

This is showing up (no pun intended) on HN as well. The # of submissions and # of submitters, which traditionally had been surprisingly stable—fluctuating within a fixed range for well over 10 years—has recently been reaching all-time highs. Not double, though...yet.
by krashidov | 2026-02-24 21:56:57+00:00
The cynical part of me thinks that software has peaked. New languages and technology will be derivatives of existing tech. There will be no React successor. There will never be a browser that can run something other than JS. And the reason for that is because in 20 years the new engineers will not know how to code anymore.

The optimist in me thinks that the clear progress in how good the models have gotten shows that this is wrong. Agentic software development is not a closed loop
by zetanor | 2026-02-24 21:57:07+00:00
It's actually very simple to read a journal to determine the full current state of the database. It's potentially even faster than parsing XML, yielding exactly the same in-memory structure. Your computer will do it faster than you can cancel the operation. This also gives you history for free, rather than as nested entries (though you might have to write a log flattener to prune old journal entries). The operations required to parse log entries like "icon 4 is now this data" and "entry 791 now uses icon 4" are minuscule. There is no complexity, no nightmare, no loss of relations.

I am not advocating for KeePass switching to a journal, however, because the current ecosystem is fine.
by troupo | 2026-02-24 21:57:31+00:00
Here's what is buried a bit in the text:

--- start quote ---

Something like 95% of vinext is pure Vite. The routing, the module shims, the SSR pipeline, the RSC integration: none of it is Cloudflare-specific.

--- end quote ---

The real achievement is human-built Vite (and it is an amazing project).

Since Next.js's API surface and capabilities are known, this is actually quite a good use of AI: re-implement some functionality using a different framework/language/approach. They work rather well with that.
by commandlinefan | 2026-02-24 21:57:49+00:00
Honestly, publication has been pretty meaningless for a long time, long before AI could generate complete paragraphs. "Publish or perish" meant that a lot of human-generated slop was being published by people who were put in a position of perverse incentives by a "well-meaning" (?) system. There will still be meaningful contributions, but they'll be as rare as they ever were.
by giobox | 2026-02-24 21:58:39+00:00
We already know exactly what the deal is, no need to speculate. Apple got large tarrif exemptions in exchange for supporting Trump's "Made in America" agenda:

> https://www.wsj.com/tech/apple-invest-american-manufacturing...

> https://appleinsider.com/articles/25/08/06/apple-exempt-from...
by e12e | 2026-02-24 21:58:52+00:00
Sony used to be surprisingly good on this - but I'm uncertain what the current status actually is:

https://developer.sony.com/open-source/aosp-on-xperia-open-d...

> Note: New devices XQ-CT62 (1Ⅳ US variant) and XQ-CQ62 (5Ⅳ US variant) do not support bootloader unlock.

https://xdaforums.com/t/unlock-bootloader-and-root-guide-xpe...
by MarkusQ | 2026-02-24 21:58:56+00:00
But peer review (circa 1965-2010[1]) is just the prior iteration of the problem[2]; the wave of crap[4] produced by publish or perish (crica 1950-present[4]). Rejecting papers by outsiders is irrelevant; the problem is we want to determine which papers are good/interesting/worth considering out of the fire hose of bilge, and, though we were already arguably failing at this, the problem just got harder.

(I say arguably, because there is always the old "try it yourself and see if it actually works" trick, but nobody seems to be fond of this; it smacks of "do your own research" and we're lazy monkeys at heart, who would much rather copy off of someone else's homework.)

[1] https://books.google.com/ngrams/graph?content=peer+review&ye...

[2] https://www.experimental-history.com/p/the-rise-and-fall-of-...

[3] https://journals.plos.org/plosmedicine/article?id=10.1371/jo...

[4] https://books.google.com/ngrams/graph?content=publish+or+per...
GPT-5.3-codex is Available via API Now
by shahahmed | 2026-02-24 21:59:02+00:00
this will succeed now:

export async function POST() {
const response = await client.responses.create({
model: "gpt-5.3-codex",
input: "Say hello world and tell me a fun fact.",
});

Doesn't look like it's announced yet
by KK7NIL | 2026-02-24 21:59:04+00:00
> I interpreted "social fabric" to mean "panel of relevant professionals" which is what we currently have but perhaps you interpreted it differently?

That would be one way to implement his suggestion of getting rid of objective (if flawed) measures of a researcher's performance.

I agree that, inevitably, there will be a subjective human decision in there, but I argue that dropping all objective measures of performance and going just on vibes is kicking the door wide open for corruption, while it's merely cracked right now.
And the exploit mentioned in this article is a very public and explicit one, which is why other researchers were so aware of it and it eventually caught up to him. If it all gets moved behind closed doors instead, it will be even harder to detect and prosecute this sort of behavior.
by pessimizer | 2026-02-24 21:59:32+00:00
> In Google's announcement in Nov 2025, they articulated a pretty clear attack vector.

If you can be convinced by this, you can be convinced by anything. What if the scammer uses "fear and urgency" to make the person log onto their bank account and transfer the funds to the scammer?

If you can convince people to install new apps through "fear and urgency," especially with how annoying it often is to do outside of the blessed google-owned flow, they can be convinced of anything.

> I agree that mandatory developer registration feels too heavy handed, but I think the community needs a better response to this problem than "nuh uh, everything's fine as it is."

There's no other "solution" other than control by an authority that you totally trust if your "threat" is that a user will be able to install arbitrary apps.

The manufacturer, service provider, and google, of course, won't be held to any standard or regulations; they just get trusted because they own your device and its OS and you're already getting covertly screwed and surveilled by them. Google is a scammer constantly trying to exfiltrate information from my phone and my life in order to make money. The funny thing is that they are only pretending to defend me from their competition - they're not threatened by those small-timers - they're actually "defending" me from apps that I can use to replace their own backdoors. Their threat is that they might not know my location at all times, or all of my contacts, or be able to tax anyone who wants access to me.
by Forgeties79 | 2026-02-24 21:59:52+00:00
> Now we teach them… conform at all costs so you never have to risk being bullied or lonely?

Literally every kid/teen-targeted movie has championed or contradicted this for decades. Yes even “back in the day.” Hell what is the end of Grease? Sandy literally changes who she is and everyone cheers including her man who allegedly liked her as she was? I don’t even get what they’re saying at the end.

Conform, be an individual, the message is always shifting and always has. You’re a jock, you’re a nerd. Jocks beat up nerds and get the girls. Oh wait in this movie the nerds actually win and are rewarded for being themselves though.

There wasn’t some special time where you were taught the right lesson that everyone now is missing out on, and they were plenty of lessons passed on to you that we have thankfully eradicated I imagine.

Growing up is complicated. Social dynamics are complicated. The way they are portrayed is also complicated. We’re all having to adapt and try our best here, no one has the exact answer