MurphyA/hacker-news huggingface dataset:
by Strilanc | 2026-03-11 15:36:15+00:00
That slide deck is complaining that correct work on quantum attacks should be seen as negligible priority or as distractions. TFA is complaining that JVG isn't even correct. They are pretty different concerns.

To be clear, I think that slide deck will be looked back upon as naive. In particular, it makes the classic mistake of assuming the size of number factored should be growing smoothly. That's naive because 15 is such a huge cost outlier and because quantum error correction has frontloaded costs. See [1] and [2] for details.

[1]: https://algassert.com/post/2500

[2]: https://algassert.com/post/2503
by coreylane | 2026-03-11 15:36:42+00:00
Working on https://dataraven.io/ – a low-cost, cloud-agnostic data movement platform focused on object storage. In the past month I've added API keys, audit logs, and rclone.conf import for rapid onboarding.

RClone is doing the heavy lifting of reliable & fast cloud to cloud transfer. I'm wrapping it with the operational features clients have asked me for over the years:

- Team workspaces with role-based access control & complete audit log of all activity
- Notifications – alerts on transfer failure or resource changes via Slack, Teams, json webhook, etc.
- Centralized log storage/archiving
- Bring your Own Vault integrations – connect 1Password, Doppler, or Infisical for zero-knowledge credential handling
- 10 Gbps connected infrastructure for handling large transfers
by pixl97 | 2026-03-11 15:37:05+00:00
It is a cynical view of humanity, but one that seems most correct.

If for example there is a deadly virus going around people will quickly restrict freedoms to prevent its spread. And even in the case they don't people that believe in freedom over precautions are evolutionary culled.

So what happens when the issue is actually infohazards? One of the common assumptions the freedom group makes is with all the information they have, anyone else would come to the same set of decisions they have. Of course I see two problems with this.

1. The freedom group is quite often hypocritical. That is, freedom is defined however they think, and anything outside of how they thing is "Not true freedom™". Elon Musk is a common source of this kind of freedom.

2. The individuals personal definition of freedom is anecdotal (We'll call this set A). Set A individual thinks by telling another individual with set B ideas on freedom that set A will win somehow? (A + B = A). That when you put ideas out there, by some magic process the best ideas win and take over and everything is happily ever after.

Of course where number 2 commonly fails is if an infohazard is more addictive than actual knowledge, and where the inoculation to said addiction takes a long time to reach herd immunity. And example would be that it's faster to destroy a nation due to ragebait faster than open democracy can adjust, hence democracy always fails in these conditions. Nice catch-22 situation.
by UncleEntity | 2026-03-11 15:37:20+00:00
My project over the last week was to get the robots to train a neural net to learn the "303 thing", hasn't gone well at all.

The first one sounded like it was being played on a blown out speaker after it got run over and the second attempt sounded like it was going through a $20 pawn shop guitar pedal that got left in the rain which lead to the 'oh, you wanted the neural net to learn the 303's filter section? My bad, I just made some random stuff up as an approximation...'

The worse part is there's still compute credits left over from the initial ten bucks so we just have to try again...
by Aurornis | 2026-03-11 15:37:24+00:00
> It's not like it's hard to keep producing the pieces to the same original specifications.

It’s extremely hard to build consistent products to the spec.

There are a lot of knock-off LEGO on the market now. We get them as gifts. Some of them stack okay, some are too tight, some are too loose.

It’s hard to manufacture at scale at these tolerances and keep it that way for decades.
by palmotea | 2026-03-11 15:37:45+00:00
> If what you describe happens (33% cut to salaries) then the bar for your own startup to be worth it is suddenly lower.

That sounds like a material reduction in quality of life. Running a startup seems like it would entail way more hours worked and way more pressure, even if you were making better money. IMHO, that's not a good trade off.
by kittikitti | 2026-03-11 15:38:11+00:00
Apertus is available for commercial use based on its license. It doesn't produce state-of-the-art (SOTA) results, but for many organizations, it greatly reduces risk of copyright infringement and even if it does, there is a direct way to address it. In fact, if you were posting in good faith, I would expect people very concerned about questionable training data to be more aware of Apertus.
by crazygringo | 2026-03-11 15:38:12+00:00
> What do you make of the fact that these things have basically the entire corpus of human knowledge memorized and they haven't been able to make a single new connection that has led to a discovery?

If that's what you're experiencing, then you're not asking them the right questions.

If you're at the edge of your field so you're able to judge whether something is novel or not, and you have a direction you'd like the LLM to explore, just ask it. Prompt it to come up with some ideas of how to solve X, or categorize Y, or analyze Z. Encourage it to take ideas from, or find parallels in, closely related or distantly related fields.

You will probably quickly find yourself with a ton of new ideas, of varying quality, in the same way as if you were brainstorming with a colleague.

But they don't work "solo". They need to you guide the conversation. But when you do, they're chock-full of new ideas and connections and discoveries. But again -- just like with people, the quality varies. If you're looking for a good startup idea, you need to sift through hundreds. Similarly if you're looking for an idea of a paper you could publish, there are a lot of hypotheses to sift through. And you're supplying your own expert "good taste" to try to determine what's worth pursuing and developing further, etc.

LLMs don't just magically come up with new proven discoveries unprompted. But they turn out to be fantastic research and idea-generation partners. They excel at combining existing related-but-distant facts and models and interpretations in novel ways.
by mock-possum | 2026-03-11 15:38:19+00:00
That’s an interesting point, but the degree to which enjoying my existence inflicts “a massive toll of suffering around the world” seems negligible, how much harm could I as an individual really be doing?

I’m a very small drop in a very big bucket, and in the already tragically short time I am allotted on this earth, I would like to enjoy myself, thank you very much. I would not dream of asking others to kill themselves so that my existence might be marginally improved.
by radpanda | 2026-03-11 15:38:29+00:00
I feel like I’ve seen essentially this same comment every time a Lego thread comes up but there doesn’t seem to be unanimous agreement on which brick toys are better. Sure, some people have good experiences with brand X but others will say they’ve had bad luck with the construction. Someone else will talk up Brand Y and someone else will point out how terrible the instructions are. Are there any brands that actually do consistently deliver a Lego-quality experience without the Lego price?
by stephencanon | 2026-03-11 15:38:43+00:00
These sorts of approximations (and more sophisticated methods) are fairly widely used in systems programming, as seen by the fact that Apple's asin is only a couple percent slower and sub-ulp accurate (https://members.loria.fr/PZimmermann/papers/accuracy.pdf). I would expect to get similar performance on non-Apple x86 using Intel's math library, which does not seem to have been measured, and significantly better performance while preserving accuracy using a vectorized library call.

The approximation reported here is slightly faster but only accurate to about 2.7e11 ulp. That's totally appropriate for the graphics use in question here, but no one would ever use it for a system library; less than half the bits are good.

Also worth noting that it's possible to go faster without further loss of accuracy--the approximation uses a correctly rounded square root, which is much more accurate than the rest of the approximation deserves. An approximate square root will deliver the same overall accuracy and much better vectorized performance.
by daveguy | 2026-03-11 15:38:44+00:00
I think it has a lot to with where people get their information. If you stick your head in the Fox News / NewsMax sand you aren't even going to see the all of the corruption that was clear before the election.

And the twitter sewer is full of unsubstantiated rage bait and thinly veiled toxic innuendo. Musk knew exactly what he was doing when he used his direct control of a multi billion dollar communication network to influence the election.

I'm just glad some people are finally saying "hey, wait a minute..."
by socialinteldev | 2026-03-11 15:38:46+00:00
the identity cert + execution chain combination makes sense -- the real risk with agents isnt just which agent is this but whether you can verify the agent hasnt been injected with malicious instructions between operations

the mcp trust layer is the interesting piece: are you signing each mcp tool call in the chain, or just the agent at initialization? the attack surface shifts a lot depending on when attestation happens relative to the tool call

also curious about the stripe trust gate vs x402 for payment verification -- stripe adds human account overhead; x402 lets agents pay autonomously with on-chain settlement and no human intermediary to impersonate. seems like a better fit for zero-trust agent interactions
by ramraj07 | 2026-03-11 15:38:47+00:00
Do you want issues of Nature and cell to be replication studies? As a reader even from within the field, im not interested in browsing through negative studies. It'll be great if I can look them up when needed but im not looking forward to email ToC alerts filled with them.

Also who's funding you for replication work? Do you know the pressure you have in tenure track to have a consistent thesis on what you work on?

Literally every single know that designs academia is tuned to not incentivize what you complain about. Its not just journals being picky.

Also the people committing fraud aren't ones who will say "gosh I will replicate things now!" Replicating work is far more difficult than a lot of original work.
by hombre_fatal | 2026-03-11 15:38:50+00:00
This is a good example of my point.

Instead of progressing to a system resilient to the fact that you can't know how code was written, you've created a rule that, because it's unenforceable and deniable, must retreat to moralization about what someone does in private.

That might make you feel good, but it won't work.
Show HN: Ink – Deploy full-stack apps from AI agents via MCP or Skills
by august- | 2026-03-11 15:39:03+00:00
Hi HN, I built Ink, a full stack deployment platform where the primary users are AI agents, not humans.

We all know AI can write code, but deploying them still requires a human to wire it up: hosting, databases, DNS, and secrets. Ink gives agents those tools directly.

The agent calls "deploy" and the platform auto-detects the framework, builds it, deploys it, and returns a live URL at *.ml.ink. Here's a demo with Claude Code: https://www.youtube.com/watch?v=F6ZM_RrIaC0.

What Ink does that I haven't seen elsewhere:

- One agent skill for compute + databases + DNS + secrets + domains + usage + metrics + logs + scaling. The agent doesn't juggle separate providers — one account, one auth, one set of tools.

- DNS zone delegation. Delegate a zone once (e.g. dev.acme.com) and agents create any subdomain instantly — no manual adding DNS records each time, no propagation wait.

- Multiple agents and humans share one workspace and collaborate on projects. I envision a future where many agents collaborate together. I'm working on a cool demo to share.

- Built-in git hosting. Agents push code and deploy without the human setting up GitHub first. No external account needed. (Of course if you're a developer you can store code on GitHub — that's the recommended pattern.)

You also have what you'd expect:
- UI with service observability designed for humans (logs, metrics, DNS).
- GitHub integration — push triggers auto-redeploy.
- Per-minute billing for CPU, memory, and egress. No per-seat, no per-agent.
- Error responses designed for LLMs. Structured reason codes with suggested next actions, not raw stack traces. When a deploy fails the agent reads the log, fixes it, and redeploys autonomously.

Try: https://ml.ink
Free $2 trial credits, no credit card. In case you want to try further here's 20% code "GOODFORTUNE".
by giancarlostoro | 2026-03-11 15:39:23+00:00
Full stop disagree. This is not what HN is for, and should never be for. I have spent hours on IRC with geohot back in the late 2000s / early 2010s mind you, I never liked him, but this is not what HN is for, and not what it should ever become. You can do all of that on reddit, let's not ruin a good rare slice of the internet with meaningless bickering.
by twodave | 2026-03-11 15:39:23+00:00
Both of my boys (9 and 11) still enjoy both the sets and the classic Legos. They're constantly building trucks, trailers, etc. One even designed his own working dump-truck. They're still great toys for imaginative play, and the fact that the sets can be broken down and used in new ways just keeps the fun alive. My oldest even designed and had his grandpa build him a lego table with a removable/reversible top so he could paint different geographies for his cities and whatnot that he likes to build.
by sghitbyabazooka | 2026-03-11 15:39:34+00:00
i picked the 10k robux for $100 package as the baseline - the grey market has never reached that ceiling. no, when cashing out, 1 robux is 1 robux, doesn't matter what currency you paid for it. an exception was if the robux was old, from the period where you could trade tix (free) for robux, but i don't think that applies anymore
by scarecrowbob | 2026-03-11 15:40:02+00:00
Damn, hoss, I wish this shit would just fall out of my stack.

Instead, I have a steady and ever-growing list of real and vicious shit that the US has done, going back to its formation.

You can pretend that everyone is just outraged because of some flavor of the month. You can pretend you're okay with breaking eggs because you don't think they are your eggs.

But at the end of the day some of us really don't like this stuff because we pay attention and have a memory- if you don't, then that's something you should work on.
by apopapo | 2026-03-11 15:40:02+00:00
If "dis-information" is the core of the issue, then perhaps we ought to start banning religions?
Despite doing that, China is a champion of spreading "dis-information" within their own walls.
Hostile actors are not foreign, most often they are domestic. The biggest offenders are governments. Only freedom opposes their power, which is why they want to restrict it.
by xxwink | 2026-03-11 15:40:12+00:00
This matches my experience exactly. I came back to coding
after 20 years away — the expertise I brought wasn't Go
syntax, it was product thinking and architectural discipline
from years of project management. That turned out to be
exactly what the AI needed to produce something coherent
and maintainable. The tool amplified what I already knew,
not what I didn't.
by knorker | 2026-03-11 15:40:13+00:00
> The european grid is interconnected so it's basically all fungible.

This is the point I'm making. It's not a counter point, it's exactly the point I'm making. Sweden "has" a bunch of coal plants, just located in Germany and Poland. This allows Sweden to skip planning for exactly what renewable is bad at.

Otherwise this is like saying "antibiotics are completely unnecessary because 99.99% of the time you don't need them, and when I do need them I just get them from a pharmacy". Right… so you do need and rely on them.

But Sweden also has a geographic electricity transportation problem. Electricity generation exists where (most) consumers are not. And this is also due to the MUCH more limited flexibility of renewables, especially hydro. Could easily be cheaper to get coal power in the south instead of hydro "shipped" from way up north. Hell, sometimes electricity in the north has a negative price.

Sweden is a good local example of why we also can't just power all of Europe from some solar panels in Sahara. Except instead it's hydro way up north.
by _DeadFred_ | 2026-03-11 15:40:14+00:00
As someone who moved from software companies to IT management, seeing this move to fully embrace 'everything in Excel' or basically undefined business use cases/processes moved into software ad hoc and without validation, it's going to be interesting to see how this plays out. Especially for companies that have outsourced IT and expect software to be defined/tested out business processes in supported systems.

In house IT is going to be huge in a couple of years sorting out this mess. I would have never guessed the future would be all custom Excel spreadsheets, but instead of Excel just random code in random languages with random data stores.
by jjjutla | 2026-03-11 15:40:29+00:00
Been looking at the agent skills security space lately. All the research so far focuses on what the agent does with SKILL.md at runtime, prompt injection, or malicious commands. But the installer copies the entire skill directory into your repo. That means a bundled *.test.ts executes on npm test with no agent involvement and none of the current scanners flag it. Wrote it up here, curious if anyone has seen this angle covered before.
by backrun | 2026-03-11 15:40:29+00:00
Interesting project. Monitoring how ChatGPT, Gemini, and Claude cite a site over time feels genuinely useful, especially since most teams currently have to rely on scattered manual checks. I also like that Canonry is self-hosted and SQLite-based instead of being another black-box dashboard. Curious how you handle query selection and repeatability so the visibility scores stay comparable over time.
by auslegung | 2026-03-11 15:41:47+00:00
Users reporting 403 Forbidden responses when downloading NuGet packagesPartial Service Disruption

Incident Status
Partial Service Disruption

Components
Website, API

Locations
Google Compute Engine

March 11, 2026 03:29 UTC
IDENTIFIED

Starting from approximately 08:00 UTC on 2026-03-10, multiple users were unable to download NuGet packages due to 403 Forbidden errors. We have identified the cause, and are going through the process of reverting the MR
by palmotea | 2026-03-11 15:42:10+00:00
> Feed vibecode to GitHub so the LLMs coprophagically train on their own slop.

Someone needs to build an easy to run AI agent that does that automatically, maybe with strategically bad choices (like complex no-op tests, bad algorithms, introduction of security vulnerabilities described as fixing them). I'd run it. Maybe it could even star/interact with other slop repos, so low activity couldn't be used as a filter.
by Juliate | 2026-03-11 15:42:51+00:00
I have first hand and second hand seen more failure from this line of reasoning _as of today_, in the French/European tech sector, than successes. Not even talking about those executives that expect to use Gen AI to "help" in their process and financial reporting - at least the flag is bright red.

I've also met enough architects (or so called) in consulting, service companies as well as startups, from both a founder and a tech lead point of view, in the past 25 years not to entrust them too much with their hunches, long-term wise.

Especially because, from a sustainability point of view, saying "junior engineers are done for" is like saying "kids are done for": not that wise. Unless what you account/bet for is the drastic reduction/disappearance of humains (and then, a lot starts to make more sense).
by pc86 | 2026-03-11 15:43:19+00:00
Is someone earning $1.1M more economically or socially harmful than someone earning $980,000?

Even if it is, and even if your point is true, that's not what the GP said. They said taxing rich people a higher percentage of poor people is "more efficient" (whatever that means in this context) and a "[more] fair system," and immediately followed it up with the 90% anachronism.
by CapricornNoble | 2026-03-11 15:43:31+00:00
The value proposition of the Chinese knockoffs is off the charts IMO.

For what I spent buying JUST ( https://www.brickeconomy.com/set/60229-1/lego-city-space-roc... ) last year for my daughter,

I've since bought her a 3-floor hospital, a firehouse, a pink villa with pool, and about 2 dozen doctor and engineer minifigs for the same ~$120 outlay. Only disappointment is the legs on the Chinese minifigs, they are difficult to seat properly on studs because the legs are at a slight angle (almost like manspreading).

I have to stop myself from going on a spending spree on AliExpress, I might order an entire Age of Sail LEGO navy.
by Schmerika | 2026-03-11 15:43:33+00:00
> Don't know why this is getting downvoted

Paul Graham and Garry Tan were both big cheerleaders of DOGE, so, keep that in mind.

A shocking number of the biggest stories about DOGE over the past year were flagged here, probably including the stories about goons physically removing people.

Posts questioning this suppression/censorship were flagged.

Some people like to argue that since any story about Musk becomes toxic - for some reason - it 'makes sense' to flag every story about anything to with him. You know, like Israel, or US torture, or Assange, or Snowden, or Epstein, etc.

For we are but naive children here in the tech industry, and must have a safe space to discuss PCB specs and the meaning of 42 without too much 'current affairs', lest the site 'lose its focus'.

It's not like almost the entire top of the industry is neck-deep in collaboration with all this or anything, right?

... Anyway, if people here don't know much about DOGE, the massive flagging that's gone on here is probably a big factor as to why.
by noahsioo | 2026-03-11 15:43:48+00:00
Every session I had to re-explain everything. There are .md files and memory systems but you have to manually tell the AI to use them, and when you're actually deep in work you don't think about that. They're supposed to be smart. Why can't they just learn?
I tried building self-learning systems on top of .md files for a while. Never really worked. Then I thought: I can remember all of this naturally. Why can't they? There has to be a way to build this.
So I started researching how human memory actually works. The brain is genuinely stunning. I ended up modeling 124 of its mechanisms in TypeScript. Spreading activation, Hebbian learning, connections that strengthen every time they fire together.
Still early (v0.1.5) but already working really well for me. Local MCP server, SQLite, no cloud. npm install -g veris-dev
by alexpotato | 2026-03-11 15:44:29+00:00
They generally hire smart people who are good at a combination of:

- understanding existing systems

- what the paint points are

- making suggestions on how to improve those systems given the paint points

- that includes a mix of tech changes, process updates and/or new systems etc

Now, when it comes to implementing this, in my experience it usually ends up being the already in place dev teams.

Source: worked at a large investment bank that hired McKinsey and I knew one of the consultants from McK prior to working at the bank.
by glitchc | 2026-03-11 15:45:15+00:00
The 4% improvement doesn't seem like it's worth the effort.

On a general note, instructions like division and square root are roughly equal to trig functions in cycle count on modern CPUs. So, replacing one with the other will not confer much benefit, as evidenced from the results. They're all typically implemented using LUTs, and it's hard to beat the performance of an optimized LUT, which is basically a multiplexer connected to some dedicated memory cells in hardware.