MurphyA/hacker-news huggingface dataset:
by usr1106 | 2026-02-11 05:30:02+00:00
Money transfers between bank accounts for no extra fees (well, that's limited to the Euro, so a couple of countries chose to stay outside). Mobile phone usage for no extra fees all over EU (some limitations, but typically not relevant for the average trip).

B2B the integration has even bigger impact.

I don't think eletric plugs are even regulated. British plugs never changed and they were not an argument in Brexit.
by degamad | 2026-02-11 05:30:31+00:00
Because for a long time, on most computers, the telnet client was the closest thing to an "open a tcp socket to this ip/port and connect the i/o from it to stdin/stdout" application you can get without installing something or coding it up yourself.

These days we have netcat/socat and others, but they're not reliably installed, while telnet used to be generally available because telnetting to another machine was more common.

These days, the answer would be to use a netcat variant. In the past, telnet was the best we could be confident would be there.
by lelanthran | 2026-02-11 05:30:31+00:00
> I would still usually prefer email as just a string and validation as a separate property, and they both belong to some other object. Unless you really only want to know if XYZ email exists, it's usually something more like "has it been validated that ABC user can receive email at XYZ address".

> Is the user account validated? Send an email to their email string. Is it not validated? Then why are we even at a point in the code where we're considering emailing the user, except to validate the email.

You are looking at this single type in isolation. The benefit of an email type over using a string to hold the email is not validating the actual string as an email address, it's forcing the compiler to issue an error if you ever pass a string to a function expecting an email.

Consider function `foo`, which takes an email and a username parameter.

This compiles just fine but is a logic error:

void foo (char *email, char *username);
...
char *my_email = parse_input ();
char *my_user = parse_input ();
foo (my_user, my_email);

Using a separate type for email means that this refuses to compile:

void foo (email_t *email, char *username);
...
email_t *my_email = parse_input ();
char *my_user = parse_input ();
foo (my_user, my_email); // Compiler error

I hope you can see the value in having the compiler enforce correctness. I have a blog post on this, with this exact example.
Show HN: I made myself a no-nonsense TODO app
by anjandutta | 2026-02-11 05:30:54+00:00
Needed to take a few notes this morning(quickly), I didn't expect that level of a hassle for a simple todo notes app. Every other one required a login. So, I opened grok, and made myself one, about 30 mins ago. *It uses local storage to save the notes. No "login required" nonsense.
by chenmx | 2026-02-11 05:31:58+00:00
The fact that you used an AI agent loop to iterate on this is honestly the most interesting part. OOXML is notoriously painful to implement correctly, and using Claude Code with Playwright tests as the feedback signal is a clever way to grind through the spec without losing your mind. Curious how you handled the undocumented Word behaviors that deviate from the spec.
by darth_avocado | 2026-02-11 05:32:19+00:00
> But $45k++ is just wild to me

It’s just surprising to me that this is surprising to anyone in 2026. New cars are no longer $20-30k in the US and haven’t been since 2021. Average transaction price is now $50k+, so if companies like Rivian that skip the dealership model charge $45k, it really isn’t that expensive. The only new cars under $30k are sedans and hatchbacks. And most of them start at almost $27-30k for base price not including all the bs dealership fees.
by somenameforme | 2026-02-11 05:32:22+00:00
They don't consciously convince you directly anymore than a slot machine convinces you to give it one more spin - it's done on a subconscious level. For instance one of the most famous, and effective, ads in history is Apple's 1984 ad. [1] A 59 second ad where the only mention of what's being sold at all happens in about 1 second with a reference to a brand name and then a logo. See: ELM model and peripheral processing. [2] And this is all day one advertising stuff.

Advertising is a horrific industry. It probably always was, but at the modern scales, it's outright dystopic. I think there's simply a large amount of cognitive dissonance around this issue because advertising drives the paychecks of a whole lot of people, and it's rather difficult to get a man to understand something when his salary depends upon his not understanding it.

[1] - https://www.youtube.com/watch?v=VtvjbmoDx-I

[2] - https://en.wikipedia.org/wiki/Elaboration_likelihood_model#P...
by brandonb | 2026-02-11 05:32:25+00:00
The main result is:

> HDHP status was associated with worse OS (hazard ratio [HR], 1.46; 95% CI, 1.19-1.79) and CSS (HR, 1.34; 95% CI, 1.01-1.77) among cancer survivors.

"OS" is overall survival and "CSS" is cancer-specific survival.
by watermelon0 | 2026-02-11 05:32:52+00:00
Great, now we need caching for something that's seldom (relatively speaking) used by people.

Let's not forget that scrapers can be quite stupid. For example, if you have phpBB installed, which by defaults puts session ID as query parameter if cookies are disabled, many scrapers will scrape every URL numerous times, with a different session ID. Cache also doesn't help you here, since URLs are unique per visitor.
by measurablefunc | 2026-02-11 05:33:44+00:00
Online influencers, podcasters, advertisers, social media product managers, political lobbyists, cryptocurrency protocol programmers, digital/NFT artists, most of the media production industry, those people w/ leaf blowers moving dust around, political commentators (e.g. fox & friends), super PACs, most NGOs, "professional" sports, various 3 letter agencies & their associated online "influence" campaigns, think tanks about machine consciousness, & so on. Just a few off the top of my head but anything to do w/ shuffling numbers in databases is in that category as well. I haven't read "Bullshit Jobs" yet but it's on the list & I'll get to it eventually so I'm sure I can come up w/ a few more after reading it.
by flawn | 2026-02-11 05:34:44+00:00
Not sure if transhumanism is the only solution to the problems you mentioned - I think it's often problematic because people like Thiel claim to have figured it out, and look for ways to force people into their "contrarian" views, although there is nothing but disregard for any other opinions other than their own.

But you are of course free to believe and enjoy the vision of such a future but this is something that should happen on a collective level. We still live in a (to some extent idealistic) but humanistic society where human rights are common sense.
by guessmyname | 2026-02-11 05:34:48+00:00
Why is Google indexing these harmful images in the first place?

Microsoft, Google, Facebook, and other large tech companies have had image recognition models capable of detecting this kind of content at scale for years, long before large language models became popular. There’s really no excuse for hosting or indexing these images as publicly accessible assets when they clearly have the technical ability to identify and exclude explicit content automatically.

Instead of putting the burden on victims to report these images one by one, companies should be proactively preventing this material from appearing in search results at all. If the technology exists, and it clearly does, then the default approach should be prevention, not reactive cleanup.
by CAPSLOCKSSTUCK | 2026-02-11 05:34:57+00:00
I agree with you but I don't really see what the alternative is. If you openly go around stating that you regret having children, what are people supposed to say? It's better to keep those thoughts to yourself because there, quite frankly, is nothing helpful anyone could say even if they wanted to. Not to mention that it would be unfair to the kids if they got the feeling that you regret having them.
by lelanthran | 2026-02-11 05:36:01+00:00
> So, when you model data "correctly" and turn "2026-02-10 12:00" (or better yet, "10/02/2026 12:00") into a "correct" DateTime object, you are making a hell lot of assumptions, and some of them, I assure you, are wrong.

I think that's the benefit of strong typing: when you find an assumption is wrong, you fix it in a single place (in this example, the DateTime object).

If your datetime values are stored as strings everywhere in your code:

a) You are going to have a bad day trying to fix a broken assumption in every place storing/using a datetime, and

b) Your wrong assumptions are still baked in, except now you don't have a single place to fix it.
by dragonwriter | 2026-02-11 05:37:02+00:00
> In California with PG&E which most people have,

Most people in California don’t have PG&E. Most of the land area in the northern 2/3 of the State or so is covered by PG&E, but people and land area aren't the same thing. Southern California Edison alone serves almost as many people as PG&E, and other smaller utilities, including public utilities like LADWP, SMUD, Silicon Valley Power, etc., serve another big chunk of the population.
by chenmx | 2026-02-11 05:37:32+00:00
Oxide is making a bet that the pendulum swings back from cloud to on prem for a meaningful segment of the market. The $200M raise suggests investors believe AI workloads will accelerate that swing, since GPU clusters are expensive to rent and companies with steady demand will want to own the metal. The interesting question is whether Oxide can capture that demand before the hyperscalers adjust their pricing to prevent it.
by joveian | 2026-02-11 05:38:54+00:00
I think it may also relate to chromatic adaptation. To be white it doesn't need to be any exact absolute color just the color our brain sets our white point to.

Not answering this question but I found an interesting short paper about how at sunset and sunrise the color gamut of shadows doesn't fully overlap with the direct illumination color gamut due to the differences in the paths the light takes:

Hubel. 2000. The Perception of Color at Dawn and Dusk.

https://library.imaging.org/admin/apis/public/api/ist/websit...
by latchkey | 2026-02-11 05:39:10+00:00
<mermaid>
flowchart TD
A["Claim: Bridge opening is conditional"] --> B["Actor: Donald Trump"]
A --> C["Project: Gordie Howe International Bridge"]
A --> D["Condition: Canadian concessions required"]

B --> E["Public statement"]
C --> F["Status: not opening (per claim)"]
D --> G["Type: policy/trade concessions"]

E --> H["Outcome framing"]
F --> H
G --> H

H["Message: No opening unless concessions are granted"]
</mermaid>

https://oj-hn.com

<mermaid>
flowchart TD
A["Claim: Bridge opening is conditional"] --> B["Actor: Donald Trump"]
A --> C["Project: Gordie Howe International Bridge"]
A --> D["Condition: Canadian concessions required"]

B --> E["Public statement"]
C --> F["Status: not opening (per claim)"]
D --> G["Type: policy/trade concessions"]

E --> H["Outcome framing"]
F --> H
G --> H

H["Message: No opening unless concessions are granted"]
</mermaid>
Show HN: I taught GPT-OSS-120B to see using Google Lens and OpenCV
by vkaufmann | 2026-02-11 05:40:20+00:00
I built an MCP server that gives any local LLM real Google search and now vision capabilities - no API keys needed.

The latest feature: google_lens_detect uses OpenCV to find objects in an image, crops each one, and sends them to Google Lens for identification. GPT-OSS-120B, a text-only model with
zero vision support, correctly identified an NVIDIA DGX Spark and a SanDisk USB drive from a desk photo.

Also includes Google Search, News, Shopping, Scholar, Maps, Finance, Weather, Flights, Hotels, Translate, Images, Trends, and more. 17 tools total.

Two commands: pip install noapi-google-search-mcp && playwright install chromium

GitHub: https://github.com/VincentKaufmann/noapi-google-search-mcp
PyPI: https://pypi.org/project/noapi-google-search-mcp/

Booyah!
by iqp | 2026-02-11 05:40:34+00:00
^ This. People bemoan the death of coding, but easily 80%+ of the code I've written commercially was just CRUD or ETL shite. I've done a few interesting things (a formula parser, a WYSWIG survey builder for signature pads, a navigation controller for line-guided industrial vehicles, etc.) but yeah, don't miss writing reams of boilerplate. I always tried to take a Kent Beck inspired Smalltalk/TDD inspired approach to the code I wrote and took pride in my work, but ultimately you're working in a shitty corporate environment where none of your colleagues cares because they're burning at both ends, the management only does lip service to Quality, and Deadlines and the Bottom Line are Everything. If LLMs make this shit more bearable then bring 'em on, I say!
by baumy | 2026-02-11 05:41:38+00:00
This is completely false. I own one. It goes up to the low 80s mph before the gas engine kicks in. Acceleration from a stop is sub 6 second 0-60. Hardly weak. Charges from fully empty to full in about 2.5 hours.

Mine gets a 40-45 mile all electric range. I drive 10-12k miles per year, and ignoring extended multi-day vacation road trips once every couple years, I fill up the tank 2-3 times per year.
by blurbleblurble | 2026-02-11 05:42:24+00:00
They're not objectively harder to motivate, just preferentially harder for people who aren't interested in them. But they're extremely interesting. They offer a surface for modelling all kinds of geometrical relationships very succinctly, semantically anyway.

This is also super interesting and I don't know why anyone would be uninterested in it philosophically: https://en.wikipedia.org/wiki/Classification_of_Clifford_alg...
by vineyardmike | 2026-02-11 05:43:07+00:00
Inventory.

Insta was tapping out of how much content (and therefore ads) they could show a user. They could either find new content to show or add more ads per unit of content. There are only so many friends, who only take so many photos. Social media stopped being “social” because it just wasn’t as good of a business as generic media. There are endless influencers and videos is way more engaging. Influencer content is semi-professional content and is way better made and way more engaging than your family who posts only at big events. Meta is very data driven, and they understand exactly how reels is increasing duration of app sessions - which means more ads.
by chenmx | 2026-02-11 05:43:08+00:00
The ARP table scan before ICMP is a smart design choice. Most network scanners default to ICMP first, which is slow and often blocked. Starting with ARP gives you layer 2 visibility almost instantly on the local subnet. The fact that you built this in Swift using BSD sockets directly instead of wrapping nmap shows you care about keeping it lightweight. Nice work.
Show HN: Idea Forge – Multi-model product validation(validated an OpenClaw idea)
by oliverchoy | 2026-02-11 05:43:10+00:00
I built a product validation service that runs startup ideas through 4 frontier models (GPT-5.2, Gemini 2.5 Pro, Claude Opus, Claude Sonnet) across 16 perspectives to surface disagreements and blind spots.

Why this exists:
Most founders get either cheerleading ("great idea!") or generic advice. I wanted adversarial multi-model validation—where models argue with each other about your idea's viability.

How it works:

1. Research phase: 6 platforms (Reddit, G2, HN, Twitter, Product Hunt, YouTube) for competitor analysis + pain validation

2. Fanout: 16 expert perspectives (4 roles × 4 models: Builder, Skeptic, Operator, Growth)

3. Synthesis: Consolidate into 5 deliverables (Executive Summary, PRD, Scorecard, Synthesis Notes, Validation Plan)

4. Delivery: PDF report in 24 hours, $39

Sample validation: Agent Ops (OpenClaw workflow observability) - GREENLIGHT, 7.5/10 confidence. Models agreed on clear pain point, defensible moat via OpenClaw integration. Sample report: https://ideas.sparkngine.com

First paying customer delivered tonight: [Hotel marketing analytics client]. Verdict: PROCEED WITH CAUTION (5.8/10). Real assessment—not cheerleading. Flagged small TAM, long sales cycles, identity resolution risk as key blockers.

Tech stack: Built on OpenClaw for multi-agent orchestration, uses Brave Search API for research, Gemini Pro for synthesis, mix of frontier models for diverse perspectives.

Asking HN: Does this actually help founders make better decisions, or am I solving the wrong problem? Is $39 the right price point for rigorous validation?

Link: https://ideas.sparkngine.com
by Dylan16807 | 2026-02-11 05:43:42+00:00
We don't have a model for how an LLM that doesn't exist will respond to a specific query. That's different from lacking insight at all. For an LLM that exists it's still hard to interpret but it's very clear what is actually happening. That's better than you often get with quantum physics when there's a bunch of particles and you can't even get a good answer for the math.

And even for potential LLMs, there are some pretty good extrapolations for overall answer quality based on the amount of data and the amount of training.
by robotresearcher | 2026-02-11 05:43:42+00:00
Insurance is a bear for Teslas. They cost a lot to repair.

The Model 3 Highland is super fun to drive. Maybe other EVs have this too. It's a very different experience to a similarly priced ICE car, and worth factoring in to the value proposition.

I specify Highland because the previous version was rattly and noisy enough to seriously detract from the zippy driving experience. Highland is nice.
by dmitrygr | 2026-02-11 05:44:03+00:00
"No CarPlay" is approximately where I stopped reading -- and I am literally their dream target audience - enough money to buy a second car, easily able to afford one of theirs, have solar on top of my house making my electricity cheap, like techy things.

They will either learn or ... not, I guess. I know I am not the only one. Nobody in my family would buy anything techy without my advice (and a modern EV is basically an iPad on wheels, so it qualifies as techy), and I will never ever give "yes" to a car without CarPlay
by marcusl07 | 2026-02-11 05:44:12+00:00
Location: Irvine, CA

Remote: Yes

Willing to relocate: Yes

Technologies: Python, C++, Java, REST APIs, Arduino, Figma, Swift

Résumé/CV: marcuslo.work

Email: marcuslo7773@gmail.com

Github: https://github.com/marcusl07

Summary: 3rd year SWE student at UC Irvine who has experience working on Arduino and API based tools. Fast learner and good communicator. Would love to work on meaningful projects with interesting people.
by gizajob | 2026-02-11 05:44:28+00:00
Yeah the fact that Rolex and Hermes fanboys/girls get so suckered into it and applaud them for it is pretty bizarre. Even believing Rolex has a limited capacity for making ten grand watches out of €5 of metal parts.

I sometimes wonder whether listening to Public Enemy rap “Don’t believe the hype” at a young age wired me for life.
by bestthrowaway | 2026-02-11 05:45:41+00:00
I like my manager but I think what many people don't seem to understand is that the manager tends to be the bottleneck. We were moving as fast as he was able to give requirements even without AI, and now we're being told to use as much AI as makes sense and now we just more product roadblocks faster. We may be shipping faster but amortized over all the roadblocks I'd say our velocity is like 10% faster.

Code was never the bottleneck.
by ksaj | 2026-02-11 05:46:55+00:00
I obviously missed something.

But after I typed a long response to your other message on this post, I saw this response and deleted it because something is just not right about your overly protective way of writing about this well documented illusion.

To summarize, but with none of the content I had posted: I have deep philosophical conversations with ChatGPT all the time. I still do with the current version. I don't think you broke anything.

You might not be a "pleblian" (whatever that is) but you sure are hostile about people who recognize the illusion. That you feel you are some sort of a saviour says a lot though. Which is why I just deleted that other comment, having been far more supportive.
by dalyons | 2026-02-11 05:47:50+00:00
Toyotas hybrid uses gas when you accelerate hard to get that 0-60, it’s a combined system horsepower. Unlike phevs, EREVs are only driven by the electric drive, and the gas system is a series generator, so the EV is fully capable & always doing 100% of the work. PHEVs fundamentally aren’t.

Anyway, the real world data from PHEV usage shows you are the outlier, most people don’t bother plugging them in regularly due to their limitations.
by chihuahua | 2026-02-11 05:48:46+00:00
Reference to support the claim that translating the bible into English was banned (William Tyndale was executed for doing it): https://nobimu.no/en/subject-articles/banned-translations-of...

You can nitpick that "the church executing people for it" is not exactly the same as "illegal" but that's missing the point.
by kristjansson | 2026-02-11 05:49:57+00:00
The value of a library is not just that it does a thing you want, but that it doesn’t do all the things you’d prefer it didn’t.

It’s easy to write a cookie parser for a simple case; clearly your robot was able to hand you one for millidollars. How confident are you that you’ve exhaustively specified the exact subset of situations your code is going to encounter, so the missing functionality doesn’t matter? How confident are you that its implementation doesn’t blow up under duress? How many tokens do you want to commit to confirming that (reasoning, test, pick your poison)?
by dmitryivanovdev | 2026-02-11 05:50:05+00:00
Thank you, this is a crucial point.

On existing solutions (GLG / building an audience): This is the practical fork in the road you're highlighting.

Outsource (GLG, panel vendors): Effective but often cost-prohibitive for a bootstrapping founder validating a risky idea. It's a capital-intensive solution to an information problem.

In-house (Build an audience/marketing): This is the "correct" long-term answer. But here's the rub: Building an audience is a product in itself, requiring months/years of consistent effort before you can use it to validate your current idea. The founder's dilemma is they need feedback now to decide if they should spend 2 years building the audience.
by lelanthran | 2026-02-11 05:50:39+00:00
> Then what is it.

It's that the erosion and atrophying of the fundamental skill that made you (or, in this case, the GP) valuable is a matter of concern, because you (or GP, as the case may be) are willingly embracing the fact that you will be no more valuable than the average office office worker, and so can expect that compensation will drop to match.

As an example, moving to Python from C was was moving to a higher level of abstraction, but it still didn't jettison the need for actually knowing how to program!

Moving to LLMs from Python does jettison any need to know what an object is, what "parse, don't validate" actually means, etc.

If the problem you are solving with the LLM doesn't need that knowledge, then that job doesn't need all those valuable programming skills anyway, and thus you are no more valuable than the average clerk toiling away in the middle of some organisation.

> be blunt and obvious in your reply or go home.

Very classy.