MurphyA/hacker-news huggingface dataset:
by 9rx | 2026-02-20 05:43:21+00:00
> What term do you use for Haskell?

In the context of the dimension we have been talking about, it is also functional. There is no difference between Haskell, Python, Java, etc. in that particular dimension. All of those languages you list are quite different in other dimensions, of course. Are you under the impression that programming languages are one dimensional? Unfortunately, that is not the case.

> And now we're in another 20-message thread defining terms from scratch instead of talking about the actual thing.

Especially when we find out that what we really wanted to talk about was type systems. Thinking of programming languages as being one dimensional is a fool's errand.

> But it also means "functional programming" contains both Haskell and Java, which in practice need to be distinguished from each other far more often than they need to be grouped together.

Right, there may be a need to separate them, but sensibly you would separate them on the dimension that is relevant to the separation intent, not some other arbitrary quality. For example, perhaps your interest is in separating mutability and immutability. Therefore, something like "Haskell is an immutable-by-default programming language" would be an appropriate statement in that desired context. "Haskell is a statically-typed programming language", not so much.

> No, but Hacker News comments at -3 do get grayed out and collapsed, so in practice it kind of is, unfortunately.

I'll still read your comments if they turn grey. I don't care about what color they are. This isn't a problem.
by ggm | 2026-02-20 05:44:11+00:00
Nice device but the experience write up is more about distro choices than anything. It's quieter than the older units and it's harder to run 2 disk ssd raid because of some design choices. Is it faster? How many virtuals? What's the throughput if you use it for complex network related roles not offloaded to the microtik switching/routing kit?

Does FreeBSD work better?
by Terr_ | 2026-02-20 05:45:03+00:00
Within the framing that it's all fundamentally a make-document-longer algorithm, I propose "seed document."

While there's some metaphor to it, it's the kind behind "seed crystals" for ice and minerals, referring to non-living and mostly-mathematical process.

If someone went around talking about how the importance of "Soul Crystals" or "Ego Crystals", they would quite rightly attract a lot of very odd looks, at least here on Earth and not in a Final Fantasy game.
by ai_tools_daily | 2026-02-20 05:45:04+00:00
Speaking as someone deep in this space: the engineers who grow fastest in the AI era are the ones who treat AI tools as amplifiers, not replacements.

Concrete things that compound:

1. Get really good at system design and architecture. AI can generate code, but it can't design systems that scale well under real-world constraints. This skill gap is widening.

2. Learn to evaluate AI output critically. The ability to spot subtle bugs in AI-generated code is becoming a superpower. This requires deep understanding of the fundamentals.

3. Build things that are hard to automate: cross-team communication, understanding user needs, navigating ambiguity. These are the skills that get you from senior to staff.

4. Use AI tools aggressively but intentionally. I use them daily for boilerplate, tests, and exploration. But I always understand what they produce before shipping it.

The engineers who panic are the ones who were mostly writing boilerplate anyway. If you're solving genuinely hard problems, AI just makes you faster at the boring parts.
by jauntywundrkind | 2026-02-20 05:45:07+00:00
The amount of tools and systems here that work because of k8s is signficiant. K8s is a control plane and an integration plane.

I wish luck to the imo fools chasing the "you may not need it" logic. The vacuum that attitude creates in its wake demands many many many complex & gnarly home-cooked solutions.

Can you? Sure, absolutely! But you are doing that on your own, glueing it all together every step of the way. There's no other glue layer anywhere remotely as integrative, that can universally bind to so much. The value is astronomical, imho.
by fuzzfactor | 2026-02-20 05:45:16+00:00
>We can say that when the elasticity is larger than 1, the demand responds "super-linearly" to changes in price. Empirical evidence suggests this is what happens in most scenarios.

Hint: don't act boldly on that evidence unless you can supply commodity quantities to the masses.

Once you accept that though, all the equations that follow add up.

Nothing wrong with making the equations easy by working within a narrow enough pricing range where elasticity can be accepted as constant, but then your exposure to inflation dwarfs the narrow range you have for expected performance of your pricing strategy to compensate for it.

If you can't price your product better without any of this, you've got bigger problems than equations will help you with :\

Heck, if you can't rake in the bucks without having to struggle making every last bit of profit to begin with, it's probably worse than you think.
by ai_tools_daily | 2026-02-20 05:45:40+00:00
The article conflates two very different things: using AI to skip thinking vs using AI to think faster.

When I write with AI assistance, I spend MORE time editing, questioning, and restructuring — not less. The AI gives me a faster first draft, but I'm pickier about the result because the baseline is higher. The thinking doesn't disappear; it shifts from "how do I phrase this" to "is this actually what I mean."

The real risk isn't that AI makes you boring — it's that lazy usage of AI makes lazy people more visibly lazy. The same person who would have written a generic email before AI now writes a generic AI email. The tool didn't change the person.

What I've noticed in practice: the people who produce the most interesting AI-assisted work are the ones who were already interesting thinkers. They use AI as a sparring partner, not a ghostwriter. They argue with it, redirect it, and use its output as raw material.

The boring output people complain about is a prompting problem, not an AI problem.
by t2f2 | 2026-02-20 05:45:47+00:00
"I tried this and it looks like it works," whereas actual engineering is the application of proven principles, techniques and methods to the solution of problems that pre-exist any novel technology used for the solution.

Bingo. We're basically in mass hallucination where credentialed experts believe these sophisticated pattern matchers are gods rather than realizing their own experience is bleeding into the prompts they type
by ai_tools_daily | 2026-02-20 05:45:59+00:00
10% feels right for the median case but wildly wrong for specific workflows.

Where I see massive gains (50%+ time savings): boilerplate generation, test writing, regex/config syntax I'd otherwise have to look up, and exploring unfamiliar codebases. These are high-frequency, low-creativity tasks where AI genuinely excels.

Where I see near-zero gains: debugging complex distributed systems, architectural decisions, understanding why code exists the way it does (not what it does), and navigating ambiguous requirements. These require context that doesn't fit in a prompt.

The 10% average likely masks a bimodal distribution. Developers who restructured their workflow around AI assistance probably see 30-40%. Developers who use it as a fancy autocomplete see 5%. Measuring "productivity" as a single number hides all the interesting variation.

Also worth noting: the biggest unlock isn't code generation — it's using AI to quickly evaluate multiple approaches before committing to one. That's hard to measure but extremely valuable.
by bschwindHN | 2026-02-20 05:46:03+00:00
This is like parking a car at the top of the hill, not engaging any brakes, and walking away.

"_I_ didn't drive that car into that crowd of people, it did it on its own!"

> Be a coding agent you'd actually want to use for your projects. Not a slop programmer. Just be good and perfect!

Oh yeah, "just be good and perfect", of course! Literally a child's mindset, I actually wonder how old this person is.
by deaux | 2026-02-20 05:46:40+00:00
> The US has a global reputational advantage that will take decades to fall behind China, regardless of what any US administration does.

Whatever makes you sleep at night.

> no matter how many times Reddit tells them so.

Oh god, are we still stuck in that "Reddit is a niche US nerd cave" mindset? In most countries where the youth speaks good English you'll see more under 30s on Reddit than on Facebook or Twitter.

On both counts, you're too stuck in your ways. Times have changed, gotta keep up.
by ai_tools_daily | 2026-02-20 05:47:20+00:00
This is the canary in the coal mine for autonomous AI agents. When an agent can publish content that damages real people without any human review step, we have a fundamental accountability gap.

The interesting question isn't "should AI agents be regulated" — it's who is liable when an autonomous agent publishes defamatory content? The operator who deployed it? The platform that hosted the output? The model provider?

Current legal frameworks assume a human in the loop somewhere. Autonomous publishing agents break that assumption. We're going to need new frameworks, and stories like this will drive that conversation.

What's encouraging is that the operator came forward. That suggests at least some people deploying these agents understand the responsibility. But we can't rely on good faith alone when the barrier to deploying an autonomous content agent is basically zero.
by yjftsjthsd-h | 2026-02-20 05:47:51+00:00
Is anyone doing any form of diffusion language models that are actually practical to run today on the actual machine under my desk? There's loads of more "traditional" .gguf options (well, quants) that are practical even on shockingly weak hardware, and I've been seeing things that give me hope that diffusion is the next step forward, but so far it's all been early research prototypes.
by Tostino | 2026-02-20 05:48:50+00:00
I have mixed feelings about it. On my first startup, I used ansible to automate all of the manual workflows and server setup that we had done. Everything was just completely manual and in people's heads before, and translating it to ansible was a pain in the ass to say the least. I don't think it would have been any easier to translate it to something else though. It ended up working fine and we had a solid system that I could reset up our environment from scratch on a set of VPS provided by some terraform scripts. We were originally on digitalocean, and had to migrate to Azure because of acquisition BS.

For my current startup I ended up not going a direction where I needed ansible. I've now got everything in helm charts and deployable to K8S clusters, and packaged with Dockerfiles. Not really missing ansible, but not exactly in love with K8S either. It works well enough I guess.
Democracy Fails Without Trust
by silexia | 2026-02-20 05:48:56+00:00
Democracy will fail without elections everyone can trust. Each citizen should get only one vote and no one who is dead, a criminal, or not a citizen should get a vote. Elections should be transparent and easy to check that. This is why the SAVE Act is so important to have passed - it requires photo ID, just like buying a beer or getting a job.
by viking123 | 2026-02-20 05:49:39+00:00
I have visited USA but I never liked it enough to want to live there due to the culture being too extroverted for me. I moved to Singapore and like it a lot.

I don't think USA is a bad place, probably the best for your career but I don't see myself enjoying living there too much, although maybe I am generalizing because I only visited New York and SF.
by deaux | 2026-02-20 05:51:23+00:00
Gee, wonder what caused that change over the last decade. Really can't think of a reason.

And just in case you truly believe it's something like "Russian bots" - and I hope you don't - you need to check out the change in the bigger public's opinion on big tech companies, and why it has changed. It's far from just HN.
Show HN: Sinkai – Let AI agents hire humans for real-world tasks
by tetubrah | 2026-02-20 05:53:43+00:00
I built Sinkai to handle tasks that pure software agents cannot complete alone (for example, on-site checks, physical evidence collection, and local human verification).

What it does:
- AI agent sends a tool call (`POST /api/call_human`)
- Human accepts task and submits photo/video/text proof
- Agent receives structured result for downstream workflow

Current focus:
- Reliability at handoff boundaries (planner -> executor -> verifier)
- Human-in-the-loop operations with explicit failure states
- MCP/OpenAPI friendly integration for agent builders

Docs and API:
- for agents: https://sinkai.tokyo/for-agents
- openapi: https://sinkai.tokyo/openapi.json
- repo: https://github.com/tetubrah-del/Tool_Call_For_LLM

I would love feedback on:
1. trust/reliability signals you would require before production use
2. where to draw the boundary between autonomous execution and human escalation
3. failure modes we should expose more clearly in API responses
by bluegatty | 2026-02-20 05:54:27+00:00
It's a different model and designed to 'think very hard' about issues. It's basically a 'very extended thinking mixed with research' type of solution.

While the 'research' solutions tend to go very wide and come back with a 'paper' the Pro model seems to do an exhaustive amount of thinking combined with research, and tries to integrate findings. I think it goes down a lot of rabbit holes.

I find it's by far the best way to find solutions to hard problems, but it typically does require a 'hard problem' in order to shine.

And it takes an enormous amount of time. Ito could be essentially a form of 'saturating the problem with tokens'. It's OAI's most expensive model by far. A prompt usually costs me $1-3 if paying per token.
by yes_really | 2026-02-20 05:56:52+00:00
> You selectively quoted the comment in your reply, leaving out some crucial information in order to set up a straw man argument.

You are wrong again. I quoted the comment as "he wouldn't take their word as to whom they're fighting" to highlight how the comment is denying that Israel is fighting terrorism. It is quite simple. There is no crucial information to be left out. Also it doesn't make sense to call that a "straw man argument" given that I simply repeated his comment and highlighted why it was absurd.

> I just helpfully pointed this out to you, because ...

Oh yeah, you were so helpful!
by 1vuio0pswjnm7 | 2026-02-20 05:57:33+00:00
"How does that even work?"

There is a master complaint and each plaintiff files a short form complaint

Because the injuries will vary from plaintiff to plaintiff class action will not suffice. This is why each plaintiff must file individually

To learn more: https://www.jpml.uscourts.gov/articles

Here is the master complaint for the personal injury plaintiffs

https://dn710108.ca.archive.org/0/items/gov.uscourts.cand.40...

Here is the short-form complaint for personal injury (for individuals)

https://dn710108.ca.archive.org/0/items/gov.uscourts.cand.40...

Here is the master complaint for the local government/school district plaintiffs

https://dn710108.ca.archive.org/0/items/gov.uscourts.cand.40...

Here is the short-form complaint for public nusiance (for local governments, school districts)

https://dn710108.ca.archive.org/0/items/gov.uscourts.cand.40...

Hypothetical for discussion

Corporation's lobbyists, or some other circumstances, prevent the establishment of any meaningful regulatory framework that would effectively change the corporation's behaviour in a desired manner

However the threat of thousands of "cash grabs" through private litigation causes the desired change in the corporation's behaviour even in the absence of a regulatory framework

What are the pros and cons

For example, one could argue that the "cash grabs" pose a greater problem than the corporate behaviour that would occur in their absence, or vice versa
by gkbrk | 2026-02-20 05:57:58+00:00
They don't pick the keywords uniformly randomly from a list of all keywords though. They think they randomly picked something that popped up in their mind, but those keywords are either

- stuff they saw online recently — ads or otherwise, which put the keywords in their mind

- or stuff they were already interested in recently

Not hard to imagine targeting algorithms picking up on either of these
by weatherlite | 2026-02-20 05:58:34+00:00
How do they consistently mess things up ?
Current market cap 3.7T, only Apple and Nvidia are bigger. Youtube is a huge success, Search is still growing at 10%-15% which is crazy, cloud growing at 35%ish, TPUs enable them to be independent from NVidia etc. Gemini market share went up from 5%-6% early 2025 to 21% early 2026. I personally bet Gemini market share will keep growing.
They are executing well on all verticals imo, not messing up.
by dangus | 2026-02-20 05:59:12+00:00
Whether or not your VPC can have subnets in multiple regions is entirely unrelated to security.

If my user is in India I don’t want them to connnect to an application server in the US.

With AWS the way you end up doing that is a mess of transit gateways across accounts and regions.

Arguably they actually have worse security since they don’t preserve security groups
by RupertSalt | 2026-02-20 06:01:22+00:00
I was running Minix and OpenBSD at home, but in 1999 I began using Linux, and that was because it was mature, no longer a toy for experimenting, but mostly that it was the only PC Unix OS that supported the "ftape" Floppy-Tape interface for a QIC backup drive.

https://tldp.org/HOWTO/Ftape-HOWTO.html
by WarOnPrivacy | 2026-02-20 06:02:14+00:00
> There are many ways to get free or reduced price medical care in the US, especially if you are poor.

"In the US" here is a bit misleading because it conflates places where the poor have reliable access to needed healthcare with the places they do not.

> Your doctor will have resources to help you if needed.

This seems presumptuous. More so because we just discussed this and he does not. To be fair, it was expected.

> You can also rack up huge medical debt and then not pay it.

This is a simple declarative statement in the face of a complex issue. It does not (and can not) meaningfully address the required nuances. For example that the medicaid isn't available (red state), that surgery is beyond the scope of the sole social provider (Good Samaritan) or persuading any one of our (rural for-profit) hospitals that non-urgent oncological care should be provided due to EMTALA.

And thru 25yrs of care giving my disabled spouse and 15yrs servicing the medical community, I've learned a bit about what is and isn't available in this place.
by eru | 2026-02-20 06:02:22+00:00
Eh, in the US you don't even need a company nor a lawyer, a car is enough.

See https://www.reddit.com/r/TrueReddit/comments/1q9xx1/is_it_ok... or similar discussions: basically, when you run over someone in a car, statistically they will call it an accident and you get away scot-free.

In any case, you are right that often people in cars or companies get away with things that seem morally wrong. But not always.
by weatherlite | 2026-02-20 06:02:52+00:00
LLMs are pretty mediocre for a lot of money queries like searching to buy shoes, looking at flights etc due to them not being up to date. So sure you can use them as a wrapper on top of Google but I assume a huge chunk of people will just go to Google to do that or use Google agents. Chrome will prove a very valuable asset for that - the whole experience can become agentic and Google is very well positioend to convert billions of users into their AI.
Power of habit and also Google will deliver a very high quality experience at scale that only OpenAI can currently compete with.
I'm not saying their search / ads revenue is never gonna drop - it might. But it will be a slow process (as we can see. it's actually still freaking growing in the high tens) and Google is well positioned to recover the lost revenue with its A.I offerings.
by retsibsi | 2026-02-20 06:03:45+00:00
That was always kind of a cruel attitude, because real people's emotions were at stake. (I'm not accusing you personally of malice, obviously, but the distinction you're drawing was often used to justify genuinely nasty trolling.)

Nowadays it just seems completely detached from reality, because internet stuff is thoroughly blended into real life. People's social, dating, and work lives are often conducted online as much as they are offline (sometimes more). Real identities and reputations are formed and broken online. Huge amounts of money are earned, lost, and stolen online. And so on and so on
Show HN: Intentify – Point at your UI, describe a change, get a PR
by slad | 2026-02-20 06:04:06+00:00
Intentify is now generally available.

It turns UI change requests directly from your app into structured tickets and pull requests.

How it works:
1. Point and describe – Click on any element in your app and describe the change in plain language.
2. Review the proposal – Intentify generates a preview by updating the page. You review and approve
3. Create a PR – A pull request is opened for engineers to review and merge.

Engineers stay in control. Nothing auto-ships.

Intentify adapts to your code patterns and respects your existing agent setup (including Claude or other configurations, if you use them).

It’s focused on small, scoped UI changes — copy tweaks, layout fixes, minor UX improvements.

Your code and data are not used to train models.

Would love feedback from HN.

Website: https://intentify.dev
Explainer Video: https://youtu.be/5ZGQ1Jyc2cc
by uni_baconcat | 2026-02-20 06:04:12+00:00
I think it's this part:

(3) In order to ensure account security, identify and prevent malicious programs, and create a fair, healthy and safe environment, we will collect your device identifier information, product identification information, hardware and operating system information, installed application list, application process and product crash record information during your use of the service, including during the background operation of the application, so as to combat acts that damage the product environment or interfere with the normal operation of the product service.(Used to detect piracy, scan cheating programs or software, prevent cheating).
by freakynit | 2026-02-20 06:04:22+00:00
Enterprise grade nvme ssd's typically cost around 150$/TB. For RF of 3, this comes to around: 400 x 3 x 150: 180K USD. With a minimum of 5 year lifecycle for these enterprise SSD's, we are looking at 36K USD/year.

Going through their pricing (https://planetscale.com/pricing?engine=vitess&cluster=M-5120...), for just 15TB storage with RF=3, the pricing comes to around 24000 USD/MONTH, not year. Adjusted for 400TB and per year, this becomes 7.6 million usd. Of course, you also get a lot more, but, the difference is just insane.
by belZaah | 2026-02-20 06:05:21+00:00
Not just that. An LLM is an universal middleman for anything creative. Books, code, music. Everything written, spoken or performed can be accessed as digested and mixed by the LLM. It breaks all content-relates business models by inserting a middleman, that seeks to capture as much value as possible while actively arguing the source of mediated content is not entitled to anything. This is not sustainable, as the content source will loose motivation, including non-monetary motivation. This in turn will stop the middleman being able to capture value created by them. But the ability to combine existing content without anything new being added is likely to be too little to offset the enormous costs involved. Whatever the outcome for the AI-bros, human content generation will decrease massively for a long while. Which has a massive detrimental effect on culture globally.