MurphyA/hacker-news huggingface dataset:
by _petronius | 2025-08-08 09:12:22+00:00
If you lived in Ireland in that period, you benefitted from Irish government services, schools, police, fire services, etc. You participated in the community (hopefully), used roads, bought things in shops, so and on so forth.

Regardless, the idea that the government can only tax you if it directly gave you sufficient benefit, _in your assessment_, is of course nonsense. Taxes are what you owe to the society you live in, not about what society owes to you.

If you are lucky enough to be internationally mobile, this does not exempt you from contributing to the communities you spend time in as you travel around the world. You cannot expect to arrive in a country, earn money from it, and depart again without paying your fair share of taxes.

If you do not like how a country has structured its tax law and what priorities it has as a society, you are of course always free to not move there in the first place.
by torginus | 2025-08-08 09:13:02+00:00
Honestly for all the super smart people in the LessWrong singularity crowd, I feel the mental model they apply to the 'singularity' is incredibly dogmatic and crude, with the basic assumption that once a certain threshold is reached by scaling training and compute, we get human or superhuman level intelligence.

Even if we run with the assumption that LLMs can become human-level AI researchers, and are able to devise and run experiments to improve themselves, even then the runaway singularity assumption might not hold. Let's say Company A has this LLM, while company B does not.

- The automated AI researcher, like its human peers, still needs to test the ideas and run experiments, it might happen that testing (meaning compute) is the bottleneck, not the ideas, so Company A has no real advantage.

- It might also happen that AI training has some fundamental compute limit coming from information theory, analogous to the Shannon limit, and once again, more efficient compute can only approach this, not overcome it
by philipallstar | 2025-08-08 09:13:14+00:00
I think it's just the over-simplification, not of tradeoffs of type of work vs one's own health insurance, but of just classifying some jobs as pure evil, and also the nowadays-tepid lesswrong writing style.

And no gods no masters is the sort of thing you might see someone say right before they become the leader, ban religion, and cause mass starvation.
by MrJohz | 2025-08-08 09:13:31+00:00
That'll depend a lot on the context and the client, I imagine. Comptime and the minifier can be distributed in a fairly standard way as part of an NPM package's dependencies, so if you're shipping to a system that can handle NPM, then comptime doesn't really add much. But if the client doesn't have a JS runtime installed or can't easily access the NPM ecosystem, then I can imagine shipping the C preprocessor could well be easier than juggling two different tools.
by hiAndrewQuinn | 2025-08-08 09:13:43+00:00
From one perspective, yes, you can get around this by simply giving up dual citizenship.

From the perspective of one's whole life, once that US citizenship is gone, it's gone. You can't reinstate it like you can with many other nations. And losing first-class access to the world's greatest economy is a very heavy price to pay. It only makes sense if you are absolutely sure you, and by extension your children and their grandchildren and their grandgrandchildren (because they only get US citizenship at birth if you yourself are a US citizen at their birth), will never want to have anything to do with the US again.

Ultimately I decided against it. The idea that I have a country I can always move to and conservatively 3-5x my take home pay compared to even one of the best paying countries in Europe is one hell of a liberating feeling. Don't discount that kind of optionality lightly.
by alias_neo | 2025-08-08 09:13:51+00:00
It won't let you press the button on the handle to lock it if the key is inside and you're not, prevents you from locking the keys in the car, mine does the same, the car will beep 3 times if I try to lock it from outside while the key is inside.

If you're also inside, you just press the lock button in the car and it'll lock just fine.
by primaprashant | 2025-08-08 09:13:58+00:00
created a summary of comments from this thread about 15 hours after it had been posted and had 1983 comments, using gpt-5-high and gemini-2.5-pro using a prompt similar to simonw [1]. Used a Python script [2] that I wrote to generate the summary.

- gpt-5-high summary: https://gist.github.com/primaprashant/1775eb97537362b049d643...

- gemini-2.5-pro summary: https://gist.github.com/primaprashant/4d22df9735a1541263c671...

[1]: https://news.ycombinator.com/item?id=43477622

[2]: https://gist.github.com/primaprashant/f181ed685ae563fd06c49d...
by burnt-resistor | 2025-08-08 09:15:30+00:00
Yep, but you're techsplaining to someone who already know this. But still, it's not opt-in. It's always on by default and litters stuff without asking. All that does is create a file but that doesn't remove the traces of all the tracking it leaves behind without asking. This fixes it in a oneliner:

# mac, bsd, linux, and wsl only (d="${XDG_CONFIG_HOME:-$HOME/.config}/go/telemetry";rm -rf "$d";mkdir -p "$d"&&echo off>"$d/mode")
by trenchpilgrim | 2025-08-08 09:15:49+00:00
Logitech is _so bad_. They use these crappy jittery potentiometers and then charge way too much for their plastic crap. Then it breaks within a few years

Better alternatives:

Gamepads: 8bitdo, Gamesir

Joysticks/HOTAS: VKB, Virpil, Winwing

Wheels: Moza, basically anything with direct drive

Any of the above will last _decades_ and greatly outperform a Logitech in precision, in a way that is qualitatively important to realistic vehicle control.
by Mars008 | 2025-08-08 09:15:53+00:00
For some reason people think of models as software and open source should have similar meaning. There are fundamental differences: 1) models aren't reproducible given everything, data, hardware, methodology. 2) they aren't even verifiable. i.e. given model and dataset it's impossible to say if model was trained on that data. 3) except for toys models are trained on copyrighted data. Some of it is private, like users' chats. 4) besides data there is a lot of human input after pretraining.

This means given everything you have two options: 1) train similar model yourself 2) trust model provider. In software you can get script and run, or get code and compile it in exactly the same binaries.

Naturally 'open source' has different meaning. Some are trying to monopolize it, like they know the 'truth'. Others simply ignore it. Eventually we'll settle on something.
by gchadwick | 2025-08-08 09:15:56+00:00
Immobilizers (which lock out the engine until there's been some authorization from another device, i.e. from a chip in the key) have been mandatory in cars in the UK at least (and I would presume Europe on similar time scales) for almost 30 years (from 1998). Seems they've been sold in cars for a few years longer than that (from 1992). According to: https://www.carwow.co.uk/guides/glossary/what-is-a-car-immob....

Maybe never introduced into the US market? Would find that hard to believe.
by ogandreakiro | 2025-08-08 09:15:58+00:00
Yeah - the search demo (https://search.notte.cc/) is just an attempt to showcase what one can do with a scraping agent embedded in a served LLM with an MCP server. We have a sys prompt pushing the LLM to request an URL to make sure it's scraping what you want to scrape - but I've played with it a bit and it can also come up with it's own URLs to be scraped.
by Hamcha | 2025-08-08 09:16:54+00:00
Have you seen the prices for Google Drive et al? The NAS setup you describe (which I wouldn't consider worth the money for that little space) is what, 12GB with 1 parity drive?

Google One for 10TB is 274,99€/mo (at least in my country) so you'd make the entire nas price and subscription cost within a few months, let alone years.

There just aren't compelling public cloud for large sizes (My NAS is 30TB capacity and I'm using 18 right now) and even if you go the more complex loops with like S3 and whatnot you still get billed more than it's worth. Public cloud is meant for public files, there's a lot of costs you're paying for stuff you don't need like being fast to access from everywhere.
by Davidzheng | 2025-08-08 09:17:13+00:00
I guess one has to check that if you are spinning around at 23.5-epsilon angle and then do the dash down the 23.5-epsilon angle in one day from the other side you cannot beat your speed of staying in one hemisphere. you could dash straight down in 12-hour timeframe and it'll need like 343 m/s or 1233 km/h which is much too high. and diagonally probably doesn't help too much? But I think it means at some tilt angle it's worth doing this? does GPT5-pro know this angle?
by ralferoo | 2025-08-08 09:18:08+00:00
Specifics of only putting tariffs on 1kg bars and not other sizes seems utterly pointless. The article itself points out that people will just ship different sized bars to the US instead and re-cast them on arrival.

It doesn't actually say what the new tariff rate will be, so the decision on whether to procure different sized bars / cast before shipping, and whether to recast in the US or just store / sell different sized bars in the US will ultimately just be a decision on whether all of that is cheaper than the new tariff. My guess is that at any significant volume, it'll be cheaper to recast.
by ben_w | 2025-08-08 09:19:11+00:00
Most models can be inferenced-upon with merely borderline-consumer hardware.

Even the fancy models where you need to buy compute (rails) that's about the price of a new car, they have a power draw of ~700W[0] while running inference at 50 tokens/second.

But!

The constraint with current hardware isn't compute, the models are mostly constrained by RAM bandwidth: back of the envelope estimate says that e.g. if Apple took the compute already in their iPhones and reengineered the chips to have 256 GB of RAM and sufficient bandwidth to not be constrained by it, models that size could run locally for a few minutes before hitting thermal limits (because it's a phone), but we're still only talking one-or-two-digit watts.

[0] https://resources.nvidia.com/en-us-gpu-resources/hpc-datashe...

[1] Testing of Mistral Large, a 123-billion parameter model, on a cluster of 8xH200 getting just over 400 tokens/second, so per 700W device one gets 400/8=50 tokens/second: https://www.baseten.co/blog/evaluating-nvidia-h200-gpus-for-...
by jacquesm | 2025-08-08 09:19:20+00:00
Humiliate? They're jostling for position and pushing each other out of the way to see who can buy the most government influenced while giving the least. The only thing that is being humiliated here is the United States reputation the world over. Those billionaires are making out like bandits, finally they really get to call the shots. That they give the doddering old fool some trinkets in return for untold access to power is the thing that should worry you, not that there - occasionally - is a billionaire with buyers remorse. There are enough of them to replace the ones that no longer want to play the game.
by ap99 | 2025-08-08 09:19:30+00:00
The problem I have with ozempic is that it's a bandaid on a deep wound.

If I can take ozempic, eat poorly (just less volume), and still lose weight then my and most people's lazy brain will say keep doing what you're doing.

When people get off ozempic they go back to the larger volume eating, and gain weight back which is mostly fat.

It's the epitome of a pharma solution: quick results, don't address underlying issues, hook the customer for life.
by lmpdev | 2025-08-08 09:20:09+00:00
I agree 100% that mic-ing live drums is by far the hardest and most expensive element in rock recording

But in the 1970s-2000s it was complete black magic and without dedicating years to the craft - you were up to the whims of studios for how much you pay

Compare that today, for instance have a look at the Jazz-Rock Fusion band Vulfpeck’s first album. If you exclude the cost of instruments - they often only need three (rather cheap) mics. Everything else DI. Recorded in a basement for less than a couple grand - with effectively infinite recording time

Live drums are expensive compared to samples, but they’re not the reason an entire genre disappeared
by hiAndrewQuinn | 2025-08-08 09:20:47+00:00
I can confirm this from experience. The instant your situation becomes more complicated than "I work one full time job and have no investments to my name whatsoever" you are in for a brutal time without an accountant by your side.

On the other hand, if you do have an accountant by your side, you potentially expose yourself to some of the most powerful labor arbitrage on the planet as a tech worker. Making $100k remotely from the US might sound like a bad deal until you live in a country where the average wage is $20,000. Like all things US tax wise, you are disproportionately rewarded for being clever and reading a lot.
by brazzy | 2025-08-08 09:21:22+00:00
The premium plan from Google has 2 TB and costs about the same annually as the electricity for the NAS that the GP comment suggested for comparison (at 100% usage). So at the same ONGOING cost (not even counting initial investment), the NAS has 8 times more storage. 16 times if you assume it will be mostly idle. Except if you want high availability with RAID, then you're back to 8 times. And haven't yet thought about backups.

All this assuming that you even need that much storage, which most people definitely do not.
by olllo | 2025-08-08 09:21:25+00:00
Hi HN,

I want to share a cool feature in Data.olllo, a local, offline, no-code data analysis tool with AI chat capabilities.

Handling time and date data can be a pain—timestamps, strings, extracting year/month, or converting formats usually require coding knowledge. With Data.olllo’s AI chat, you just describe what you want in plain English, and the AI instantly generates the correct pandas code inside a process(dfs) function you can run on your dataset.

For example, you can: - Convert Unix timestamps to readable date-times - Extract parts like year and month from date columns - Parse messy string dates into proper datetime objects - Convert datetime back to numeric timestamps - Format datetime columns into any string style you want

Here’s a sample snippet the AI generates for converting a Unix timestamp column:

def process(dfs): df = dfs["df"] df["timestamp"] = pd.to_datetime(df["timestamp"], unit="s") return df

You don’t need to know pandas or write any code yourself — just type your request, and the AI does the heavy lifting, letting you explore and visualize your data faster.

Data.olllo runs 100% locally, so your data stays private, and it can handle millions of rows quickly.

If you often struggle with time data or want a fast way to analyze large CSVs without coding, give Data.olllo a try:

https://olllo.top/convert-format-datetime-ai-chat

Happy to answer questions or get feedback!

— Denis
by crinkly | 2025-08-08 09:22:06+00:00
Yeah good luck with that one.

I ran a home lab for a number of years. This was a fairly extensive set up - 4 rack mount servers, UPS, ethernet switch etc with LTO backups. Did streaming, email and file storage for the whole family as well as my own experiments.

One morning I woke up to a dead node. The DMZ service node. I found this out because my wife had no internet. It was running the NAT and email too. Some swapping of power supplies later and I found the whole thing was a complete brick. Board gone. It's 07:45 and my wife can't check her schedule and I'm still trying to get 3 kids out of the door.

At that point I realised I'd fucked up by running a home lab. I didn't have the time or redundancy to have anyone rely on me.

I dug the ISP's provided WiFi router out, plugged it in and configured it quickly and got her laptop and phone working on it. Her email was down but she could check calendar etc (on icloud). By the end of the day I'd moved all the family email off to fastmail and fixed everything to talk to the ISP router properly. I spent the next year cleaning up the shit that was on those servers and found out that between us we only had about 300 gig of data worth keeping which was distributed out to individual macbooks and everyone is responsible for backing their own stuff up (time machine makes this easy). Eventually email was moved to icloud as well when domains came along.

I burned 7TB of crap, sold all the kit and never ran a home lab again. Then I realised I didn't have to pay for the energy, the hardware or expend the time running it. There are no total outages and no problems if there's a power failure. The backups are simple, cheap and reliable. I don't even have a NAS now - I just bought everyone some Samsung T7 shield disks.

I have a huge weight off my shoulders and more free time and money. I didn't learn anything I wouldn't have learned at work anyway.
by hoherd | 2025-08-08 09:22:06+00:00
If you have a family, a minivan makes so much more sense than an SUV. Minivans have more interior space, more cargo room, auto rear doors that are impossible to bang on the adjacent car, cost less, get better fuel economy, and more.

I live off a dirt road, and if my minivan breaks, I'm not going to buy an SUV, I'm going to buy another minivan, but I will buy an AWD model instead of FWD like my current model.
Show HN: Usehooks.io – A CLI-first React hook library with 30 utilities
by oliviercolo | 2025-08-08 09:22:18+00:00
Hey HN

I’ve built usehooks.io – a CLI-first React hook library with 30+ production-ready hooks for modern frontend development.

Why I built it React hooks are incredibly powerful, but I found myself constantly rewriting the same utilities—like useCounter, useDebounce, useGeolocation, etc. Many libraries felt too opinionated, under-documented, or weren’t keeping up with new APIs like Web Share, Vibration, or Bluetooth.

So I decided to create:

A comprehensive, modern hook library

With a zero-config CLI to install, remove, and explore hooks directly from the terminal

Fully typed with TypeScript-first DX

Documented with real-world examples

What’s inside 30+ reusable hooks across categories:

State & Lifecycle: useCounter, useToggle, usePrevious

Sensors & Devices: useAudioRecorder, useGeolocation, useVibration, useIsMobile

Browser APIs: useClipboard, useFullscreen, useWebShare

Network: useFetch, useNetworkInformation

And more...

A powerful CLI (npx usehooks-cli) with:

init, add, remove, list, info, update commands

Smart search by name, category, or description

MIT licensed. Built with a monorepo setup using pnpm workspaces.

Links Website: https://usehooks.io

GitHub: https://github.com/small-lab-io/usehooks.io Try CLI: npx usehooks-cli@latest Feedback

I’d love your feedback! Are the hooks useful to you? Are there any you'd like to see added? Would you use the CLI in your projects?

Also open to contributors, ideas, or critiques. Thanks for reading!
Show HN: Fiig – Reimagining Google scholar for AI research and PDF annotation
by ieuanking | 2025-08-08 09:22:29+00:00
With all the new study modes and learning-targeted AI models, we have been building fiig specifically to reduce chatting and encourage actual source exploration and thinking.

We love feedback. Fiig has been built alongside higher-education students, professional researchers, and teachers. With fiig, you can find scholarly sources, cite the work, and our AI agent can highlight and annotate any found or uploaded PDF.

Other cool features: Tool Tabs: Each agent has a set of tools that can be used in chat while you work. Drag & Drop: Organize and contextualize your workflow by dropping elements straight into chat. @reference Anything: Use @ to reference notes and files directly in your prompts. Studio Interface: Open multiple PDFs, search for sources, and generate text in one unified platform.

LMK what you think <3
by ben_w | 2025-08-08 09:26:44+00:00
Grinding out returns from a sunk cost of a century-old investment is pretty impressive all by itself.

Very few people want to invest more: the private sector doesn't want to because they'll never see the return, the governments don't want to because the returns are spread over their great-great-grandchildren's lives and that doesn't get them re-elected in the next n<=5 (because this isn't just a USA problem) years.

Even the German government dragged its feet over rail investment, but they're finally embarrassed enough by the network problems to invest in all the things.
by verytrivial | 2025-08-08 09:26:48+00:00
I had 2.5 Flash refuse to summarise a URL that had today's date encoded in it because "That web page is from the future so may not exist yet or may be missing" or something like that. Amusing.

2.5 Pro went ahead and summarized it (but completely ignored a # reference so summarised the wrong section of a multi-topic page, but that's a different problem.)
by VVertigo | 2025-08-08 09:27:02+00:00
$10K seems like a generous donation to me: good on them for making one.

You can’t complain about the amount because you don't know what other donations they make. I would rather see $10K donations made to a bunch of different projects than a single big donation to one project. That way if one company has a bad year (or goes out of business) projects are not left scrambling to replace their sponsor. As the saying goes, “Don’t put all your eggs in one basket”.
by latexr | 2025-08-08 09:27:07+00:00
I tried their live demo. It suggests three prompts, one of them being “How many R’s are in strawberry?” So I clicked that, and it answered there are three! I tried it thrice with the same result.

It suggested the prompt. It’s infamous because models often get it wrong, they know it, and still they confidently suggested it and got it wrong.
by Jensson | 2025-08-08 09:28:22+00:00
> Sure, that does make things easier: one of the reasons Go took so long to solve is that one cannot define an objective score for Go beyond the end result being a boolean win or loose.

Winning or losing a Go game is a much shorter term objective than making or losing money at a job.

> But IRL? Lots of measures exist

No, not that are shorter term than winning or losing a Go game. A game of Go is very short, much much shorter than the time it takes for a human to get fired for incompetence.
by jillesvangurp | 2025-08-08 09:28:27+00:00
Exactly, you need to get proper advice on how to structure your business in Germany. Basically, putting your shares in holding companies is both common and not dodgy. Corporate taxes are more friendly than personal income taxes. You can do constructions with salaries, dividend, etc.

Doing this is standard practice if you are founding a company. You need to plan for your startup to be actually successful and being on the receiving end of a big exit. You can't just wing it and hope for the best.

Germany has a large amount of wealthy small investors, business owners, family owned businesses, etc. And many of those might retire in places like Spain, Italy, etc. There are ways. You just need to understand the system.

That's not to say that Germany is not a huge PITA when it comes to managing all these constructions, dealing with the bureaucracy, and the maze of silly government agencies that refuse to share even the most basic information with each other so you are stuck in ground hog day providing the same information over and over again (who are you, where do you live, what is your company registration, etc.). But once you know the how this backwards and dysfunctional system works, you can get it to work for you. Because painful as it is, the system does work more or less as advertised. But you do need to familiarize yourself.

BTW. this is a topic where LLMs can be helpful. You can skip a lot of the traditional advisers and other middle men, if you are a bit smart on that front. Using an accountant is actually worth the money for liability reasons. So don't skimp on that. But otherwise, knowing what you are getting into in terms of bureaucratic process can save a lot of time.