MurphyA/hacker-news huggingface dataset:
by evolve2k | 2026-02-16 14:30:54+00:00
Fully agree. The AI companies have broken the basic pacts of public open data. Their ignoring of robots.txt files is but one example of their lack of regard.
With the open commons being quickly pillaged we’ll end up in a “community member access only model”. A shift from grab any books here you like just get them back in a month; to you’ll need to register as a library member before you can borrow. I see that’s where we’ll end up. Public blogs and websites will suffer and respond first is my prediction.
by NicuCalcea | 2026-02-16 14:31:12+00:00
> What about when you use it?

I use AI for coding, but not for anything involving writing text, it's just horrendous at it. It just spews verbose slop, devoid of meaning, original thought or nuanced critique.

> That doesn't mean the model isn't capable; it means an incapable person won't know what they'd want to ask of it.

So it's user error again then, eh? PhD experts are able to help even "incapable" students, that's often a big part of their job.
by SiempreViernes | 2026-02-16 14:31:21+00:00
Or just standing next to someone in the line at the supermarket.

Also, lets be clear and admit that if your notion of "target" is "anyone close to a device I sold years ago", you're not the type of person that cares if the balled up paper made it to the trash can: so long as it left your hand you would be satisfied.
by zarzavat | 2026-02-16 14:31:37+00:00
They believe that they exist to control us. And let's been honest, British people are a meek bunch who have done little to disillusion them of that notion, at times positively encouraging our own subjugation.

In other countries, interference with the right to a fair trial would have lead to widespread protest. We don't hold our government to account, and we reap the consequences of that.
by pzs | 2026-02-16 14:31:52+00:00
Related question: how do we resolve the problem that we sign a blank check for the autonomous agents to use however many tokens they deem necessary to respond to your request? The analogy from team management: you don't just ask someone in your team to look into something only to realize three weeks later (in the absence of any updates) that they got nowhere with a problem that you expected to take less than a day to solve.
by criddell | 2026-02-16 14:32:02+00:00
I'm your opposite. I use Pages for letter writing, Word for documentation, PyCharm for Python, Visual Studio for C++, VSCode for Javascript, Outlook for email, vi for bash and config files, SublimeText for markdown and html, OneNote for todos and project planning, Obsidian for my work log and outlines, the Notes app for on-the-go capture, etc...
by swiftcoder | 2026-02-16 14:32:46+00:00
> Treating a potential GDPR fine as equivalent to a flight-control failure ignores that society, regulators, and markets treat those risks very differently

Agreed, though I think that if GDPR fines were actually being levied at the recommended 4% of global revenue, we'd start treating them more similarly to a 737 crash.

> The inconvenience and economic cost of your Discord messages leaking is not the same category of harm as your pacemaker controller failing

Sort of depends who they leak to. Your teen classmates who bully you to suicide? Your abusive ex who is trying to track you down to kill you? The 3-letter agency who is trying to rendition your family to an internment camp?

There are a lot of seemingly benign failure modes that become extremely lethal given the right circumstances. And because we acknowledge the potential lethality of something like a pacemaker failure, we have massive infrastructure dedicated to their mitigation (EMT teams, emergency external pacemakers, surgical teams who can rapidly place new leads, etc). For things society judges less important, mitigations are often few and far between
by piltdownman | 2026-02-16 14:34:03+00:00
I wouldn't worry in the slightest - any cultural appropriation offense has long since been hammered out at the altar of American Television.

The Punch Magazine-esque depiction of bucolic ignorance in ST:TNG {1} is probably the worst representation I can think of, but you still have recent romcoms {2} which the Irish Times film review section best describe as "...stunningly regressive stuff."

That said, even the most cutting satire is fully appreciated when done well. Steve Coogan's fantastic double-billing as his own look-a-like from Ireland was very well received here, negative connotations nonwithstanding.

{1} https://memory-alpha.fandom.com/wiki/Bringloidi
{2} https://en.wikipedia.org/wiki/Wild_Mountain_Thyme_(film)
{3} https://www.youtube.com/watch?v=lEjEGbAFzJU
by helsinkiandrew | 2026-02-16 14:34:13+00:00
Better overview of what the complaint was here:

https://www.tremark.co.uk/moj-orders-deletion-of-courtsdesk-...

They raise the interesting point that "publicly available" doesn't necessarily mean its free to store/process etc:

> One important distinction is that “publicly available” does not automatically mean “free to collect, combine, republish and retain indefinitely” in a searchable archive. Court lists and registers can include personal data, and compliance concerns often turn on how that information is processed at scale: who can access it, how long it is kept, whether it is shared onward, and what safeguards exist to reduce the risk of harm, especially in sensitive matters.
by jodytornado | 2026-02-16 14:34:15+00:00
I've been working on a different approach to this problem entirely.
Instead of scaling neural inference and hoping the reasoning is sound, I built a deterministic symbolic reasoning engine that runs on bare metal — no OS, no cloud, no neural network. 157K lines of no_std Rust, ring-0 execution, direct NVMe access. Every reasoning step resolves to an explicitly grounded knowledge-base state or execution halts. No probabilistic inference path in the decision layer.
The tradeoff is real: it's not going to autonomously solve open problems like Aletheia. But every conclusion it produces is auditable step by step, deterministically replayable, and cryptographically traceable. Identical inputs produce byte-identical outputs across reboots.
For research mathematics, that's a limitation. For safety-critical autonomy — where a wrong answer isn't an embarrassing paper retraction but a real-world consequence — it's the whole point.
The thread keeps circling around the same tension: these systems are spectacularly capable but fundamentally unverifiable. The activation capping discussion, the "success cases are rare" admission, the galaxy-energy-consumption tangent — it all points to the same gap. There's no architecture in the LLM paradigm that lets you guarantee a reasoning chain is sound without a human checking it.
That's the problem I'm solving. Different architecture, different tradeoffs, different use case.
Uncut validation footage of 358 tests across 25 phases: https://www.jou-labs.com/proof
Posting a full Show HN on Tuesday.
by Jeremy1026 | 2026-02-16 14:34:20+00:00
I start with what I want to build. In the initial prompt I provide an overview of what I want, and then some specifics. Last night I added an archive to the Daily Challenge mode, so if you missed a day's challenge you could go back and play it. This is what my initial prompt looked like:

---

I'd like to add an archives mode to the daily challenge. This will allow players to complete any daily challenges they didn't attempt on the actual day.

It will look like a calendar, with the dates in Green if it was played, and in white if not.

The archive should only go back to January 30, 2026, the day the project started. Include a to do to change this date prior to release.

Rewards for completing daily challenges via the archive should be 25% of the normal value.

---

Claude Code then asked me a couple of clarifying questions before it harnessed the superpowers:writing-plans skill and generate a document to plan the work. The document it put together is viewable at https://gist.github.com/Jeremy1026/cee66bf6d4b67d9a527f6e30f...

There were a couple of edits that I made to the document before I told it to implement. It then fired off a couple of agents to perform the tasks in parallel where possible.

Once it finished I tested and it worked as I had hoped. But there was a couple of follow up things that would make it more intertwined with everything else going on around daily challenges. So I followed up with:

---

lets give 1 cell for compelting an archived daily challenge

---

And finally:

---

Now that we are tracking completions, can we update the notification to complete daily mission to include "Keep your X day streak"

---
by aleph_minus_one | 2026-02-16 14:34:22+00:00
> Many coders simply do not care about the business or customers part.

These coders may exist, but they are in my experience not that common. Most coders do care about the business or customers part, but think very differently about these aspects than business people, and thus come to very different conclusions how to handle these topics.

In my experience, it's rather exactly these programmers who are often in conflict with business people

- because they care about such topics

- because they come to different conclusions than the business people, and

- because these programmers care so much about these business-related topics, they are very vocal and sometimes confrontative with their opinions.

In other words: coders who barely care about these business-related aspects are often much easier to handle for business-minded people.
by digiown | 2026-02-16 14:34:24+00:00
Semi-ephemeral is the wrong way to view Discord et al. It's only that way if you actively remove your messages after a while, but they have made it as difficult as possible.

Though the fact that it's hard to archive too, perhaps make it more ephemeral on the whole, since few people will have a backup when do you get around to remove it.
by carlosjobim | 2026-02-16 14:35:05+00:00
No, public doesn't mean access should be limited to academics of acceptable political alignment, it means open to the public: everybody.

That is the entire point of having courts, since the time of Hammurabi. Otherwise it's back to the clan system, where justice is made by avenging blood.

Making and using any "profiles" of people is an entirely different thing than having court rulings accessible to the public.
by eleitl | 2026-02-16 14:35:06+00:00
The 1990s happened.
And a lot happened in the last quarter century, so you should update yor world model (preferably without resorting to MSM propaganda).

As to why why Russia, China, Iran and North Korea are sticking together, it is because they they don't want to hang separately.

As to why the West has lost its proxy war against a petty regional player, that is something for the history books.
by falcor84 | 2026-02-16 14:35:15+00:00
I'm not a doctor, but am amazed that we've apparently reached the situation where we need to use these kinds of complex edge cases in order to hit the limit of the AI's capability; and this is with o1, released over a year ago, essentially 3 generations behind the current state of the art.

Sorry for gushing, but I'm amazed that the AI got so far just from "book learning", without never stepping into a hospital, or even watching an episode of a medical drama, let alone ever feeling what an actual arm is like.

If we have actually reached the limit of book learning (which is not clear to me), I suppose the next phase would be to have AIs practice against a medical simulator, whereby the models could see the actual (simulated) result of their intervention rather than a "correct"/"incorrect" response. Do we have actually have a sufficiently good simulator to cover everything in such questions?
by ninjagoo | 2026-02-16 14:35:18+00:00
> nowhere is it clearly specified that the free model IS as capable as the paid one either. so if you have uncertainty if IS/IS-NOT as capable, what sort of scientist assumes the answer IS?

Putting the same model name/number on both the free and paid versions is the specification that performance will be the same. If a scientist has to bring to bear his science background to interpret and evaluate product markings, then society has a problem. Any reasonable person expects products with the same labels to perform similarly.

Perhaps this is why Divisions/Bureaus of Weights and Measures are widespread at the state and county levels. I wonder if a person that brings a complaint to one of these agencies or a consumer protection agency to fix this situation wouldn't be doing society a huge service.
by morningsam | 2026-02-16 14:35:50+00:00
Exactly. This whole thing just seems like a repeat of Flappy Bird to me. What was the "lesson" of Flappy Bird for game developers? That you should make very small, very simple games? How has that worked out for the vast majority of copycats who tried? The truth is there isn't any lesson, other than "sometimes people play the lottery, get lucky and win". Most people who play won't, though.
by rco8786 | 2026-02-16 14:36:02+00:00
We'll have to solve for that sometime soon-ish I think. Claude Code has at least some sort of token estimation built-in to it now. I asked it to kick off a large agent team (~100 agents) to rewrite a bunch of SQL queries, one per agent. It did the first 10 or so, then reported back that it would cost too much to do it this way...so it "took the reins" without my permission and tried to convert each query using only the main agent and abandoned the teams. The results were bad.

But in any case, we're definitely coming up on the need for that.
by londons_explore | 2026-02-16 14:36:17+00:00
"court records are public forever" and "records of crimes expunged after X years" are incompatible.

Instead, we should make it illegal to discriminate based on criminal conviction history. Just like it is currently illegal to discriminate based on race or religion. That data should not be illegal to know, but illegal to use to make most decisions relating to that person.
Show HN: GEDB – A pure-Go embedded database
by ReturnErr | 2026-02-16 14:37:14+00:00
Hello HN!

These last few months I've been working on my first open source project: an embedded database written in pure-go. That took me some months, as I had to learn how to deal with such large packages. Until then, all packages I had made were quite small an did not require much. I usually did not have to worry about things like allocation optimization and instance pools until This project.

It started when I wanted to make a port of a tool to a TUI environment. I'm actually used to working with TUIs in golang, so that was my language of choice. The tool I wanted to port is written in TypeScript and uses NeDB (written in JavaScript) as database. Since I feel more comfortable working with compiled languages, I decided to create my own database, making sure it was compatible with NeDB, and that's what I did for the last few months.

And that's how GEDB was created. It's a mongodb-like embedded database, written in pure-go. It supports a subset of useful querying options of MongoDB (keywords like $lt, $exists, $in, $where, etc.). By default, it uses a in-memory-only storage, but can easily initialized with a data file.

Everything in my package can be dependency injected, as everything is controlled interfaces. Serialization, querying syntax, document structure, indexing and more, all can be replaced by implementing an interface.

I've also been considering adopting a new document model, by creating a binary type (like BSON) to reduce drastically the cost of creating, maintaining and copying documents (they currently are map[string]any).

The project is currently in an early stage, version 0.1.0, so I'm okay with making changes to the API for now, until I'm ready to release version 1.x.x

I would be really glad if you guys could check it out and give some feedback. An issue, suggestion or a star are very welcome.

My repository can be found on my github: https://github.com/vinicius-lino-figueiredo/gedb
by krethh | 2026-02-16 14:37:26+00:00
Only if you accept the premise that the code generated by LLMs is identical to the developer's output in quality, just higher in volume. In my lived professional experience, that's not the case.

It seems to me that prompting agents and reviewing the output just doesn't.... trigger the same neural pathways for people? I constantly see people submit agent generated code with mistakes they would have never made themselves when "handwriting" code.

Until now, the average PR had one author and a couple reviewers. From now on, most PRs will have no authors and only reviewers. We simply have no data about how this will impact both code quality AND people's cognitive abilities over time. If my intuition is correct, it will affect both negatively over time. It remains to be seen. It's definitely not something that the AI hyperenthusiasts think at all about.
by Eridrus | 2026-02-16 14:37:46+00:00
Your assumption is wrong.

The LLM companies are profitable on the current gen models. Inference is profitable, rather than subsidized.

They are raising the biggest chunk of capital to buy data center compute that will come online ~2 years from now and be an order of magnitude larger.

The bear case for the labs is that they're Cisco, not Pets.com.
by cosmic_cheese | 2026-02-16 14:38:25+00:00
Right, but my point is that users didn’t have to write extensions because developers had already written one for just about any niche use one could think of.

And it wasn’t just theming. Classic Mac OS extensions could do anything from add support for new hardware to overhaul the text rendering system entirely to giving dragged desktop icons gravity and inertia to adding a taskbar or a dock. The sky was the limit, and having a single common target to do any of those things (vs. being split between the kernel and a thousand layers/daemons/DEs/etc) meant that if it could be done, it probably had been.
by mapt | 2026-02-16 14:39:20+00:00
There's no government as effective at instituting necessary changes as a benevolent autocracy, nor any so effective at destruction as a malevolent one.

If our democracy is sufficiently broken, if supermajority voter policy preferences continue to be dismissed by both parties, it might be that we just cannot survive under the old Constitutional order. The Right's open move towards a post-democratic future, and the proceduralist Center's continued failure to fully utilize their popular mandate to fix things that need fixing, implicitly authorizes a Left to develop that is more obsessed with expression of the popular will and with good governance, than it is with a 250 year old bureaucratic structure and "norms". Norms of restraint are a consensual exercise, and cannot persist unilaterally.

The way things are going, the trajectory, make even most 20th century hereditary monarchies look pretty decent. Especially ones that devolve most power to parliamentary bodies.
by spacebanana7 | 2026-02-16 14:39:29+00:00
The political answer is that open justice provides ammunition for their political opponents, and that juries also tend to dislike prosecutions that feel targeted against political opponents. See palestine action as a left wing example and Jamie Michael's racial hatred trial as a right wing example.

Obviously the government Ministry of Justice cannot make other parts of government more popular in a way that appeases political opponents, so the logical solution is to clamp down on open justice.
Show HN: Donor reporting dashboard with one-click PPTX export (React/TS)
by vassilbek | 2026-02-16 14:39:57+00:00
I built this to solve a workflow I kept seeing in nonprofits: impact data lives in spreadsheets/docs, then someone manually rebuilds it in slides for donor updates.

This project is a React + TypeScript dashboard that combines:

-KPI/indicator views
-qualitative impact stories
-psychosocial support case summaries
-one-click PowerPoint export (pptxgenjs)

Code: https://github.com/vassiliylakhonin/activity-reporting-for-d...

Technical notes:

Vite build with chunk splitting
Type-safe indicator calculations
test + typecheck + build scripts included

I’d really value feedback on:
-export quality/structure for real donor reporting workflows
-what data model would make this easier to adapt across organizations
by bpt3 | 2026-02-16 14:39:58+00:00
> Why hasnt this been used for stealing Crypto?

Because the information obtained is much more valuable than imaginary tokens.

> Is there evidence Android OS has been compromised? (I know Samsung phones had an issue)

I assume every OS can be compromised by a determined adversary.

> Is there any evidence a Fedora, Debian-family, or linux has been compromised?

I'm not sure what evidence you would need, but see above.
by zzzeek | 2026-02-16 14:40:09+00:00
Gemini did not have this problem:

This is the ultimate "work smarter, not harder" dilemma. Since your goal is to actually wash the car, the answer depends entirely on how you plan to get the job done.

The Verdict

Drive if: You are using a drive-through/automatic car wash or a self-service bay. It’s pretty tough to scrub a car that’s sitting in your driveway from 50 meters away. Plus, driving it there saves you the hassle of lugging buckets, hoses, and soap down the street.

Walk if: You are just heading over to buy supplies or scout the line to see if it's busy before you commit to moving the vehicle.
by idop | 2026-02-16 14:40:11+00:00
> Surrounded by enemies of their own creation.

Step 1: Get 6 million of you systematically eradicated in Europe and hundreds of thousands more booted from their homes in the Middle East for "reasons".

Step 2: Build yourself a country so no one can throw you out again.

Step 3: Get attacked by the countries who threw you out for "reasons".

Step 4: Get accused of "aggression".

People's continued downplay and revisionism of Jewish and Israeli history is truly something to behold.
by paulus_magnus2 | 2026-02-16 14:40:15+00:00
-- OK. Added location context for the vehicle

grok works, chatgpt still fails

[1] https://chatgpt.com/share/69932b20-3eb8-8003-9d9c-b4bba53033...
[2] https://grok.com/share/bGVnYWN5LWNvcHk_f32dd53d-7b36-4fa2-b3...
by citrin_ru | 2026-02-16 14:41:25+00:00
> a) not over produce

Forecasting demand is hard. If you will produce less than needed you will sell less than could have sold (lost revenue) while overproducing is relatively cheap.

> b) sell the clothes - even if it means selling them for next to nothing.

The main reason unsold items are destroyed is to avoid price depression - giving unsold items for next to nothing will reduce future demand for full priced items. It's wasteful and harmful for environment but as others noted it's hard to fight with this given that destruction could be outsourced to other countries.
by vessenes | 2026-02-16 14:41:49+00:00
Great benchmarks, qwen is a highly capable open model, especially their visual series, so this is great.

Interesting rabbit hole for me - its AI report mentions Fennec (Sonnet 5) releasing Feb 4 -- I was like "No, I don't think so", then I did a lot of googling and learned that this is a common misperception amongst AI-driven news tools. Looks like there was a leak, rumors, a planned(?) launch date, and .. it all adds up to a confident launch summary.

What's interesting about this is I'd missed all the rumors, so we had a sort of useful hallucination. Notable.
by nonethewiser | 2026-02-16 14:42:21+00:00
> To test DOM access speed simply compare processing speed during test automation of a large single page app with all DOM references cached to variables versus the same application with no such caching. I have done this and there is a performance difference, but that performance difference cannot be noticed until other areas of the application are very well optimized for performance.

This was my instinct. Remember, the author is a hammer. His role is to find performance issues in the frontend. His role is not to find performance bottlenecks in the whole system.