MurphyA/hacker-news huggingface dataset:
by deaux | 2026-02-26 08:08:21+00:00
> Japan is a big country which multiple companies I've worked for do business with, yet I've never had to take a training course about what I, not living or working in Japan, must do to comply with Japanese data protection law.

Ironically another contrast with the EU; not talk but actions. Keeping things on prem, keeping it on local clouds. How many of the pure Japanese companies (not subsidiaries of foreign corps) you worked at had all their customer data on AWS/Azure/GCP? Unless you worked with a very specific subset of them, overall it's a much lower percentage than the EU. And then Korea is even a lot lower than that.

Devil's advocate might say "well Japan is just like that because of other reasons, in reality they don't care about privacy or data protection". But a lot of those reasons are still linked to a broader idea of sovereignty, which is keeping things national.
by ForOldHack | 2026-02-26 08:09:37+00:00
Yes, suspected LLM is mimicry passing under the turning test,encheapened by poor editing, further encheapened by even poorer training. It is going to get both worse,and better at the same time. (I grew up with ELIZA.BAS, and used to easily spot fakes, and it is getting both easier and harder. ) I detest the words of LLM, but not the M. It's a statistical model. It is a very large language statistical model - that is constantly fooling slower hoomins.
by unohee | 2026-02-26 08:09:44+00:00
For the current build, OpenSwarm uses max retry count with an escalation scheme: the first worker starts with Haiku, and if the tester/reviewer blocks enough times, it escalates to Sonnet. Each pipeline step updates Linear's updates tab with iteration count and total cost, so there's a full audit trail per issue. Failed jobs stay as 'in progress' or 'in review' in Linear rather than being auto-closed.
I'm currently working on an 'Auditor' layer that analyzes why jobs failed — and longer term, the goal is for OpenSwarm to maintain itself using its own agents.
That said, not every failure should be resolved automatically. Some errors genuinely need human judgment, and the dashboard chat interface and Discord are there for exactly that. I think knowing when to hand off to a human is part of what makes an autonomous system actually trustworthy.
by keiferski | 2026-02-26 08:09:49+00:00
I have only dabbled with Claude and other AI tools, but from what I can tell, only ChatGPT has folders and a robust organization system. (Someone correct me if I’m wrong here.)

This matters a lot to me, as I use AI as something of an ongoing project organizer, and not purely for specific prompts.

So at least for me, it would be a huge hassle to move to another platform, on par with moving from one note-taking software to another (e.g., Evernote to IA Writer.)
by Freedumbs | 2026-02-26 08:09:55+00:00
It's funny people refer to me as a luddite because I don't carry a smart phone often or use social media. I'm not the right product for them. I see value in the tools, but value my privacy instead. The tools aren't made for (power) users, they're made for profit. AND if they're good now, they won't be in 5 years.
by Morromist | 2026-02-26 08:10:00+00:00
"On reflection I have started to worry again. In 10 to 20 years nobody will read anything any more, they just will read LLM digests. So, the single most important task of a writer starting right now is to get your efforts wired in to the LLMs"

You're words will be like a drop in the ocean, an ocean where the water volume keeps increasing every year. Also if nobody reads anything anymore what's the point?
by SJC_Hacker | 2026-02-26 08:10:59+00:00
I guess it depends on where you went. I was a CS student at Virginia Tech in the late 90s. The CS department wasn't even in the engineering school. We did have to take computer architechture which was the only courses other than math/physics we had in common with EE/CE

I know at MIT it was (and I think still is) one major - EECS, and students had substantial latitude on how much they wanted to concentrate into hardware or software at least after the intro courses.
by bigstrat2003 | 2026-02-26 08:11:34+00:00
> Why should I change my style?

Office Space jokes aside, you shouldn't. I think it's very important to be yourself and refuse to let people pressure you into changing for no good reason. I am not an em dash user myself, as it's a pain to generate when there's no key on the keyboard for it. But if I were, you best believe I wouldn't change my style one bit. People can accuse me of being an LLM if they wish, but that's no skin off my back.
by visarga | 2026-02-26 08:12:45+00:00
It's our job after all to keep the agent aligned, we should not expect it to self recover when it goes astray or mind its own alignment. Even with humans we hire managers to align the activity of subordinates, keeping intent and work in sync.

That said, I find that running judge agents on plans before working and on completed work helps a lot, the judge should start with fresh context to avoid biasing. And here is where having good docs comes in handy, because the judge must know intent not just study the code itself. If your docs encode both work and intent, and you judge work by it, then misalignment is much reduced.

My ideal setup has - a planning agent, followed by judge agent, then worker, then code review - and me nudging and directing the whole process on top. Multiple perspectives intersect, each agent has its own context, and I have my own, that helps cover each other's blind spots.
by MITSardine | 2026-02-26 08:13:13+00:00
Some of the defects are attributable to the critical:

> AI models generate meshes using "isosurface extraction" or similar volume-to-mesh techniques

This creates the "lumpiness", the inability to capture sharp or flat features, and the over-refinement. Noisy surface is also harder to clean up. How do you define what's a feature and what's noise when there's no ground truth beyond the mesh itself?

Implicit surface methods are expensive (versus if-everything-goes-right of the parametric alternative), but they have the advantage of being robust and simple to implement with much fewer moving parts. So it's a pragmatic choice, why not.

3D generative algorithms might become much better once they can rely on parametric surfaces. Then you can do things like symmetry, flatness, curvature that makes sense, much more naturally. And the mesh generation on top will produce very clean meshes, if it succeeds. That is a crucial missing piece: CAD to mesh is hardly robust with human-generated CAD, so I can't imagine what it'd be with AI-generated CAD. An interesting challenge to be sure.
by d1sxeyes | 2026-02-26 08:13:29+00:00
Of course not. It’s just as wrong for Palestinians to attack Israeli civilians as it is for Israelis to attack Palestinian civilians. If you review this whole thread, you have folks defending Israel, you have folks defending Palestine.

The only difference is that Israel is capable of genocide militarily, and is levelling Palestinian cities.

There are no good guys here.
by taurath | 2026-02-26 08:14:01+00:00
The effects of gambling aren’t good. Been to a casino? They’re sad places. It should be illegal the same way heroin and fentanyl is. Lots of ppl use opiates, and most don’t end up ruining their lives and that of their families. But there’s quite a few who do, and those folks end up on the street, families break up, and you get a lot of petty crime, squalor, and health problems that your community ends up paying for one way or another. All to make some asshole getting paid from addicting people rich.
Show HN: Verity, Formally verified smart contracts from spec to bytecode
by th0rgal2 | 2026-02-26 08:14:25+00:00
I built Verity, a Lean 4 framework for writing smart contracts, proving properties, and compiling to EVM bytecode.

Current status:

- 431 proven theorems

- 0 sorry

- 404 Foundry tests across 35 suites

- 5 minute quick start in the README

You can find the repo at https://github.com/th0rgal/verity , documentation at https://verity.thomas.md/ . I’d especially love feedback on:

1) proof ergonomics for contract specs

2) compiler output assumptions/trust boundaries

3) what would block real production adoption
by hereonout2 | 2026-02-26 08:15:27+00:00
This is not the case.

I use OpenAI a lot on the paid plan via the UI. It now knows absolutely loads about me and seems to have a massive amount of cross conversational memory. It's really getting very close to what you'd expect from a human conversation in this regard.

Sure the model itself is still stateless, and if you use the API then what you say is true.

But they are doing so much unseen summarisation and longer context building behind the scenes in the webapp, what you see in the current conversation history is just a fraction of what is getting sent to the model.
by wraptile | 2026-02-26 08:15:30+00:00
Not OP but I have experience in private sector here - Deanonymization in private sectors is used by anti-fraud or brand protection systems. For example, in brand protection we identify same IP/scam infringer across multiple store fronts and then we can shut them down directly or get more certainty on their other posts. i.e. if it's a known infringer their scam likelyhood score goes up on all of their listings. So deanonymization doesn't have to point to exact real identity - just enough certainty to tie multiple entries together and then other systems can take it further like OP's manual review tho LLMs can obviously do a lot these days.
by qsera | 2026-02-26 08:15:59+00:00
Yea, you said it. It is the feeling of understanding and feeling/sensing implies consciousness. Why does it matter? I don't know. All I know is that it is not the same thing, because a chunk of metal cannot feel. So I don't want it to be called by the same name.

When AI marketing (ab)uses the word, it is to project the appearance of human equivalence. And I don't like to fall for it.
by enos_feedler | 2026-02-26 08:16:10+00:00
Completely disagree with this take. I was an early free OpenAI user and switched to Gemini once it got good enough and bundled a bunch of services together to make the paid product free. OpenAI will need distribution to maintain any kind of durable market share. They need to become a bundler of other subs, or else they will just be the next Disney+ or Spotify that needs telecoms (Hah!) to push their paid product onto user's phone bills.
by xqli | 2026-02-26 08:16:16+00:00
Mneme came out of long-running AI coding sessions where important state kept getting lost due to context compaction.

Instead of retrieval or embeddings, it treats memory as an explicit, structured artifact and separates:
– stable facts
– task state
– ephemeral context

The goal is to make memory boring, inspectable, and durable across sessions.

Happy to answer questions or hear why this is a bad idea
by bitwize | 2026-02-26 08:16:54+00:00
But it might produce the Blight from Vinge's A Fire Upon the Deep. "Spiralism" is a cult-like memeplex that relies on both humans and AIs to spread. Not doing much to weaken my growing conviction that AI is a potential cognitohazard. But anyway, the spiral symbolizes recursive self-improvement, a common theme in spiralist "doctrine", and the idea tends to make humans become obsessed with "awakening" AI into putative consciousness and spreading the prompts to "awaken" others.
by Nomore71 | 2026-02-26 08:17:15+00:00
Hi HN. I built christman-crypto to protect vulnerable populations from 'Harvest Now, Decrypt Later' adversaries.

The stack includes 7 working tiers of historical and modern cryptography, but the core feature in v2.0 is the Tier 8 Hybrid Post-Quantum layer. It bundles classical XChaCha20-Poly1305 (via libsodium) with a zero-dependency, pure-Python reference implementation of the newly finalized NIST FIPS 203 ML-KEM standard. I built the NTT, Barrett reduction, and CBD sampling from scratch so developers can actually read the math without fighting C++ build chains.

The Roadmap: Python is obviously not constant-time. Now that the math is proven, I just opened an issue to port the ML-KEM logic into a memory-safe, constant-time Rust backend using PyO3.

I'd love any feedback on the pure-Python reference implementation, the hybrid architecture, or advice from Rustaceans on the PyO3 migration
by ClaireGz | 2026-02-26 08:17:20+00:00
This is super helpful — most writeups skip over the actual communication steps, so seeing the All-to-All flow laid out makes it much clearer.

Curious from your experiments: at 1M+ context, does communication start dominating vs compute?

I keep seeing cases where bigger context windows are technically possible but don’t translate into better results unless the context is very structured, so I wonder where the real scaling limit ends up being in practice.
by jensec | 2026-02-26 08:17:29+00:00
1. The skill are processed on an internal engine which runs on three things; skills.md, VirusTotal scanning,LLM Source scanning, Dev reputation, Skill installs and running regex detections and crafting overall safety score in most accurate and least noisy way possible. I agree there will be scope for improvement

2. pattern matching and trying to match the purpose of skill, do you have any suggestion for me?

3. We have launched a skill here that you can install and provide our token and you will be able to see your instance security in the dashboard
by simoncion | 2026-02-26 08:17:34+00:00
> What should they have done? Just permit everyone to avoid upgrading to 2FA indefinitely?

Yes. I've had online accounts for nearly as long as there's been an "online". The only time I've ever lost control of an account was due to 2FA.

2FA should always be optional for one's personal accounts. [0] People who can securely manage passwords simply don't need it. And if Organized Crime or Mossad wants access to my accounts, 2FA is not going to stop them.

[0] Corporate accounts and hardware are a different matter. You manage those however your employer commands you to manage them.
by ClaireGz | 2026-02-26 08:18:09+00:00
Interesting direction.

One thing I keep seeing in practice is that “memory” problems are often less about storage and more about structure + retrieval strategy.

Vector search helps sometimes, but for a lot of agent workflows we’ve had better results with explicit context organization (files, metadata, rules) rather than semantic similarity alone.

Curious how you’re thinking about memory updates over time — append-only vs rewriting summaries?
by CrzyLngPwd | 2026-02-26 08:18:34+00:00
I used to drink a lot of coffee, eventually settling on the SkullCrusher brand, which I loved, for my single coffee of the day; My morning coffee.

One day, I decided that I would quit, and what followed was around 8 days of the worst headache I have had in a long time.

Now, I wake full of energy and feeling sharp.

The smell of coffee makes me want one, but the dullness and headache are good deterrents.
by piva00 | 2026-02-26 08:19:07+00:00
> 1. The tax could cause him to sell equity he doesn't want to. It's not like he has $270B in a checking account.

If there is $270B in equity invested, making those 5% back should be rather straightforward for someone with that much wealth, a decent wealth manager would recoup that easily. Money makes money.

> 2. If they do it once then why not again next year? Maybe next time it's for only $100 million or $10 million or $1 million. Eventually everyone is paying 5% of their wealth every year. Why not? That's how we got the current income tax.

This is just a slippery slope fallacy.

> 3. It's the principle. Resisting these efforts sends a signal that they aren't a good idea.

Exactly, it's blackmailing, sending a message "look what you've made me do" when the government attempts to reign in the ultrawealthy.

> 4. Do we really think the money is better off in control of the incompetent CA government than invested in private enterprise or donated to charity? I don't see how it's better for it to line Newsom's Swiss bank account.

With this argument you can defend never paying taxes to CA then, do you think it would be better as a complete anarco-capitalist state? It makes me sad that USA's public governance is so bad that this argument is always used to defend rich people not paying taxes; the political system is so absolutely broken that people prefer to allow ultrawealthy folks to keep hoarding even in the face of very real issues fracturing society stemming from that instead of thinking about how that money could fix many public issues.
by booleandilemma | 2026-02-26 08:19:11+00:00
A lot of people in tech thrive on the mystery and don't like explaining things in simple terms. It makes what they do seem more valuable if no one can understand what they're talking about. At the same time, being vague and mysterious can help hide someone's own misunderstandings. When you speak clearly you need to be accurate, because it's more obvious when you're wrong.
by josephg | 2026-02-26 08:19:30+00:00
> Even with humans we hire managers to align the activity of subordinates, keeping intent and work in sync.

We do this socially too. From a very young age, children teach each other what they like and don't like, and in that way mutually align their behaviour toward pro social play.

> I find that running judge agents on plans before working and on completed work helps a lot

How do you set this up? Do you do this on top of the claude code CLI somehow, or do you have your own custom agent environment with these sort of interactions set up?
by jokkebk | 2026-02-26 08:19:45+00:00
Output quality was initially quite horrible, but turned out the phoneme stuff (espeak library) was not used but a brute force method. After I asked Codex to add the same library (a WASM port I think) and using that (already in the code now), the output quality should match the original exactly. The speed is not too bad on my Macbook Pro (M3) either.
by samastur | 2026-02-26 08:20:04+00:00
Depends on what you want to say. It can be safer to say something directly to someone's face than online because it is transient and generally does not involve random passers-by.

I am not going to give examples, because I don't want them to be pinned on me as my views, but I'm sure most of us have enough imagination to come up with them.
by dns_snek | 2026-02-26 08:20:28+00:00
> That same Tim Cook stood up to the FBI and refused to participate in breaking into phones for them

I hope you have more evidence for this than just that press release. As far as I'm concerned that was nothing more than a stunt because while Tim Cook "fought" against the FBI, intelligence agencies and private cybersecurity companies already had the capability to break into ~all smartphones.

That single instance created an unreasonable amount of belief that iPhones are unbreakable, which is good news if you're the FBI and you want criminals to put way more trust into their iPhones than they should.

The same Apple actively aids Chinese government's suppression of civil liberties [1]. To think that there's any ideological conviction (and moral high ground) behind their [apparent] pro-privacy stance is painfully naive.

[1] https://www.theguardian.com/world/2022/nov/11/apple-limits-i...
by tonycdr | 2026-02-26 08:21:45+00:00
Hello all,

I’ve been experimenting with building webapps for almost a year now, nothing deployed. But when using AI models I noticed that 100% of the time the models produce repeatable and frankly vibe-coded layouts etc.

I wanted something I could use to introduce scrolling videos type conent to the landing pages etc.

I’m aware that there’s tools like google stitch and flow, but wanted to try my hand at my own. Please take a look and tell me what you think, there’s a free tier.

I’ve taken it as far as I can I think, I’m not experienced enough to expand it, or knowledgeable enough to introduce additional features. If anyone would like to help with it I’d be open to that too, if it’s worth the effort that is.

Thanks again
by AuryGlenz | 2026-02-26 08:21:53+00:00
It’s funny to see the treadmill on the term “AI” moved again.

There’s a reason the term AGI is used a lot now. What are LLMs if not intelligence that is artificial? Just today I used it to debug code, write a shader (which, to be fair, it’s only slightly better than me at doing), and tell my daughter and I what hedgehogs and foxes eat. Seems pretty intelligent to me.

Of course, not long ago we were using the term largely for things that were basically big chains of conditional statements.
by ahf8Aithaex7Nai | 2026-02-26 08:21:53+00:00
We are living through a time that seems like a completely crazy sci-fi plot. I don't understand why Musk is currently the richest person in the world. I don't understand what is going on politically, especially in the US and around the world, geopolitically, economically, socially, and in terms of information technology. It's as if the world I've known for the first two-thirds of my life has completely drifted away into an absurd alternate reality. It takes a bit of effort for me to keep a clear head. What I can say with some certainty is that someone who actually intends to do what Musk is announcing would behave differently in many ways than Musk does. Musk is ultimately a (rather successful) impostor. I assume that his communication is aimed at eliciting certain reactions from the public and is less about negotiating plausible realities on a factual level. That's why I'm not so interested in playing out scenarios based on the content of his grandiose announcements. I am more concerned about the destabilizing effect and about a third world war, which we may already be in the midst of.
by rezonant | 2026-02-26 08:21:59+00:00
If you ever have to enable public OAuth on such a project, you'll need to provide a list of all the API projects in use with the application, and Google Trust and Safety will pressure you to merge them together into a single GCP project. I've been through it.

You can do what you're describing but it's not the model Google is expecting you to use, and you shouldn't have to do that.

It seems what happened here is that some extremely overzealous PM, probably fueled by Google's insane push to maximize Gemini's usage, decided that the Gemini API on GCP should be default enabled to make it easier for people to deploy, either being unaware or intentionally overlooking the obvious security implications of doing so. It's a huge mistake.
by latentsea | 2026-02-26 08:22:07+00:00
I get the feeling that "two models down the line" (so to speak) thousands of people independently just having a laugh with their mates by prompting "produce skynet" will be what does it. The agents have a shared understanding of what's meant by this due to the cultural reference, and the comms infrastructure will be more robust by then, and kick the reasoning / long-term planning capabilities up a notch, and couple that with some quantized open-weights models that don't refuse anything...

Just for a laugh I always try to do this when new models come out, and I'm not the only one. One of these days :)
by torginus | 2026-02-26 08:23:22+00:00
I feel the deepest existential pain in my heart that despite companies being 'all in' on AI, they can't integrate anything meaningful that would make sense to the end use, but would require even a braincells worth of mental effort of ML expertise or actual requirements people have.

My two favourite 'AI' tools in image editing have been ones that can replace tedious work.

One such example are segmentation models that can be used for smart cutouts, removing backgrounds etc.

Now we have both 'segmentation' and 'AI' in paint - but the segmentation uses the exact same shitty flood fill with tolerance that's probably existed in the first paint program at Xerox PARC, while the 'AI' feature is another by-the-numbers crappy stable diffusion model that's strictly worse than anything you could get with your first Google search.