MurphyA/hacker-news huggingface dataset:
by TheDong | 2025-06-11 07:05:13+00:00
Do you also complain when someone says "Half-life 2 has great water-physics" with "Don't call it physics, we still don't understand all the physical laws of the universe, and also they use limited-precision floating-point, so it's not water-physics, it's just a bunch of math"?

Like, we've agreed that "water-physics" and "cloth physics" in 3d graphics refers to a mathematical approximation of something we don't actually understand at the subatomic level (are there strings down there? Who knows).

Can "thinking" in AI not refer to this intentionally false imitation that has a similar observable outward effect?

Like, we're okay saying minecraft's water has "water physics", why are we not okay saying "in the AI context, thinking is a term that externally looks a bit like a human thinking, even though at a deeper layer it's unrelated"?

Or is thinking special, is it like "soul" and we must defend the word with our life else we lose our humanity? If I say "that building's been thinking about falling over for 50 years", did I commit a huge faux pas against my humanity?
by diffeomorphism | 2025-06-11 07:05:14+00:00
For the translate part let me just point out the offensively bad translations that reddit (sites with an additional ?tl=foo) and YouTube automatic dubbing force upon users.

These are immediately, negatively obvious as AI content.

For the other questions the consensus of many publications/journals has been to treat grammar/spellcheck just like non-AI but require that other uses have to be declared. So for most of your questions the answer is a firm "yes".
by jillesvangurp | 2025-06-11 07:05:25+00:00
The moat is increasingly becoming having access to billions needed to finance the infrastructure needed to serve billions. That's why Google is still in the game. They have that and they are very good at massive scale and have some cost advantages there.

OpenAI is very good at this as well because of their brand name. For many people ChatGPT is all they know. That's the one that's in the news. That's the one everybody keeps talking about. They have many millions of paying users at this point.

This is a non trivial moat. If you can only be successful by not serving most of the market for cost reasons, then you can't be successful. It's how Google has been able to guard its search empire for a quarter century. It's easy to match what they do algorithmically. But then growing from a niche search engine that has maybe a few tens of thousands of users (e.g. Kagi) to Google scale serving essentially most of this planet (minus some fire walled countries like Russia and China), is a bit of a journey.

So Google rolling out search integration is a big deal. It means they are readying themselves for that scale and will have billions of users exposed to this soon.

> Their last funding round in March valued them at 300B. Despite losing 5B last year, they are growing really fast

Yes, they are valued based on world+dog needing agentic AIs and subscribing to the extent of tens or hundreds of dollars/month. It's going to outstrip revenue things like MS Office in its prime.

5B loss is peanuts compared to that. If they weren't burning that, their ambition level would be too low.

Uber now has a substantial portion of the month. They have about 3-4 billion revenue per month. A lot of cost obviously. But they managed 10B profit last year. And they are not done growing yet. They were overvalued at some point and then they crashed, but they are still there and it's a pretty healthy business at this point and that reflects in their stock price. It's basically valued higher now than at the time of the Softbank investment pre-IPO. Of course a lot of stuff needed to be sorted out for that to happen.
by imgabe | 2025-06-11 07:06:17+00:00
At what speed should it be disassembled? I don't see how dragging things out will help. No matter how slow you go, people who want it to continue are going to say it's too fast. May as well rip the band aid off quickly.

I mean, your plan seems to be:

A. The US should give infinity money to everyone forever and never stop. If anyone ever dies, it's the US's fault for not supporting them enough.

B. If you are going to stop, do it on the schedule of the people who are getting free stuff, and only stop when they decide they don't want free stuff anymore (i.e. never).
I made an app for making notes 2x faster – seeking for Beta users
by brike | 2025-06-11 07:06:33+00:00
I'm building an AI-driven voice note-taking application that allows you to speak up your mind and convert it into actionable notes.

Dumai automatically detects the language you're speaking and transcribes your recording along with summarising the key points mentioned during speech. It also allows you to share notes if needed.

Dumai is on TestFlight, and we are looking for beta testers to try it out and share feedback!

Our first beta version includes:

- Voice recording with instant transcription to capture every thought on the go

- AI-generated summaries that transform long recordings into concise bullet points

- Custom tags to organize your notes exactly the way you want

- Powerful search across both tags and full transcripts to find anything in seconds

You can download the app here - https://testflight.apple.com/join/4fQZA7JR
by komali2 | 2025-06-11 07:07:49+00:00
Excellent, so it's working. Waymo has been nonconsensually testing their unready "autonomous" cars on people for far too long.

As recently as last year a Waymo stopped at a stop sign and then accelerated directly towards me in a crosswalk.

These vehicles aren't ready and have already injured people. Lighting them on fire seems a valid defense strategy since the government's unwilling to intervene to protect its citizens.
by CMay | 2025-06-11 07:07:53+00:00
One immediate observation I have about this model is that it seems to do a better job of filtering out or toning down some ideological disinformation that other models regurgitate from activist controlled Wikipedia articles, at least for a few I've checked. Previously you had to write your own sanity-check prompts to get the model to do extra up-front work to validate the logical and historical accuracy of things before it spits out what it thinks is the most popular answer.

With this, at least it seems like some of that work was done upfront or the thinking is tuned to avoid those issues, because it's giving me similar conclusions to a sanity-checked prompt. Heck, even Google Gemini and ChatGPT were spitting that stuff out, where this one is giving me a reasonable response. So in that regard, big thumbs up to the Mistral team if they did any specific work in that area. It's something I cared about that I was getting concerned nobody else cared about enough to fix.
by austin-cheney | 2025-06-11 07:08:28+00:00
I recently gave up on a native JavaScript only PTY. You absolutely needs third party binaries to make use of OS APIs, namely open_pty and fork_pty from pty.h in posix and some C# functions for ConPTY on Windows. Xterm.js already does this. The only pure JavaScript solution would be for Xterm.js to become a core Node.js API module.
by mrkeen | 2025-06-11 07:09:51+00:00
> The author clearly mentioned they're new to the language, so calling them a "lost cause" for making a beginner mistake is elitist snobbery.

"Lost cause" was the author's description of the language.

The author didn't take the role of a student and ask how to do something. He took on the role of a teacher to tell others it couldn't be done.
by wtcactus | 2025-06-11 07:10:31+00:00
No, the total is 49.50%.

49.50% of the Population in Portugal doesn't work and needs to be supported by those who work.

And there are 6 millions capable of working between the ages of 20-65. Of those, only 5 millions work.

So, you need to calculate the budget spent on those half of the population that doesn't work - in some cases because they are too young or too old, and then ask: why is close to a million of those that can actually work, living off the state anyway, instead of working for them, and for the other person they should be supporting.

Maybe they built their own AI robot I guess, and now they don't need to do anything... Surely a case for UBI.
by victorbjorklund | 2025-06-11 07:11:16+00:00
It sounds like you use the leader arm to show the robot how the task should be done. If you just used your own arm for the task the robot would have to translate human movements to its own mechanics (hard) but this way it does only need to replicate the movement you showed (easier). After you teach it how to do the movement it can then do it by itself. You show once and it can repeat a million times.
by yetihehe | 2025-06-11 07:11:46+00:00
$200 is for assembled boards. I learned electronics and spent about $200 on it in two years, that includes cheapest soldering iron. Don't order assembled boards when you are starting. Order cheapest bluepill (STM32F103C8T6) or non-original arduino clone and start on breadboard with that. Make pcb's only when you're ready to learn more. Expect that your first one will not work or will require some "rewiring", but second one may already work. You might start with some cheap through-hole components, they are a little easier to re-wire or re-solder, it's a good idea to put your first microcontroller in socket.
by yolkedgeek | 2025-06-11 07:12:03+00:00
IBM bought Redhat, Redhat hires the devs for GNOME and hosts its infrastructure. IBM and Redhat where also the main founders of GNOME. They don't need to legally own GNOME. When most of the people working on systemD and GNOME are IBM employees, IBM makes the decisions. And GNOME is an IBM company.

https://wiki.gnome.org/RedHat https://en.wikipedia.org/wiki/GNOME_Foundation
by zimbatm | 2025-06-11 07:12:39+00:00
That I wasn't very good at Rust :-D

My assumption was that a tool like this will make it easier to keep the README.md in sync while the project evolves. Think of a `--help` section. That assumption holds true to me.

You can see it in action for example here: https://github.com/numtide/treefmt-nix?tab=readme-ov-file#su...

The best part is that it makes it easy to keep the README.md in sync when the project evolves. Just add it to the CI
by lormayna | 2025-06-11 07:13:45+00:00
If the airplanes have ADSB transponder you can buy a cheap RTLSDR dongle and get data from there.

Another way, can be to record ATC conversations, translate them with an LLM and then track the airplane properly. This is harder and can be problematic from a legal standpoint (listening ATC is illegal in some countries)
by nashashmi | 2025-06-11 07:14:41+00:00
This is the future that can’t be more ignored. It is like finally bringing call interrupt feature in internet dial up modems but only after everyone migrated to DSL. Windows Lumia was the first device to bring this functionality from an OS developer. Samsung had this for premium hardware. Apple came up with stage manager for iPad but left it out of iPhone. And no one really cares about this feature enough.

What is this feature in reality? It is just a projected screen with a certain resolution. And then it has apps that appear and open as resizable windows. Android had a downloadable app called something like Sense that did this but the app developers didn’t make apps with resizable windows at the time.

I guess part of the working closely is to cause developers to display apps that can be resized. And resize it for them in the event they refuse.
by tsimionescu | 2025-06-11 07:14:56+00:00
No, they haven't , at least nowhere near the scope of the hype. The promise in the early 2010s was that in 10-20 years, human driving would be obsolete, that professional drivers would be out of a job, and that all land-based transportation would be overhauled.

None of this is even close to happening. Waymo is impressive tech, for sure, but what they're proving is that this is just not currently solvable as a general problem. The best we can do is to meticulously craft a solution for one constrained use case - driving in SF, driving in LA, etc. And even then, we need to pick certain use cases - it's not like they could use their current tech to start autonomous service in Juneau Alaska. Or even NYC, most likely.
by komali2 | 2025-06-11 07:15:09+00:00
If you please, I would find your argument more compelling if I wasn't personally aware that the damage from protests in 2020 was very little compared to normal day to day activity in cities, or the typical damage after a popular sporting event, as well as my awareness that the most famous incidents of damage from BLM protests were from positively identified undercover police officers and white supremacist agitators.

Given these facts, can you justify moving America towards more of a police state (and abdicating more of our liberties) because of... why?
Show HN: StopX – AI-powered content blocker with 99.7%
by popwatch | 2025-06-11 07:15:21+00:00
Built StopX after struggling with the limitations of traditional blocklist-based filters. Most existing solutions rely on static URL databases that are constantly outdated and easily bypassed. Our approach uses proprietary WebShield™ technology that combines: Real-time AI image recognition for visual content analysis Contextual URL pattern matching beyond simple domain blocking Cross-device synchronization with encrypted settings sync Military-grade bypass protection with stealth mode operation The interesting technical challenge was achieving 99.7% accuracy while maintaining sub-100ms response times. We solved this with a lightweight edge model that preprocesses content before it reaches the browser, combined with cloud-based deep analysis for edge cases. Currently supporting Chrome, Firefox, iOS, Android, Windows, and Mac with seamless cross-platform experience. The system has processed over 50M requests with 250K+ active users. Technical deep-dive and API documentation available. Happy to discuss the computer vision and real-time filtering challenges we solved. Try it free: https://stopx.today
by bjackman | 2025-06-11 07:17:27+00:00
Nice!

I am skeptical that the UEFI drivers would be up to the job. I worked on EDK2 drivers many many years ago and things were not really optimised for speed. Mostly we just did the simplest thing that would boot Linux without any unnecessary delays.

Plus they are very often gonna be buggy and there's not much you can do about buggy UEFI FW.
by willvarfar | 2025-06-11 07:18:36+00:00
My dream solution:

The EU creates an institution for public knowledge, a kind of library+tech solution. It probably funds classic libraries in member countries, but it also invests in tech. It dovetails nicely into a big push to get science to thrive in the EU etc.

The tech part makes a in-the-public-interest search engine and AI.

The techies are incentivised to try and whack-a-mole the classic SEO. E.g. they might spot pages that regurgitate, they might downscore sites that are ad-driven, they might upscore obvious sources of truth for things like government, they might downscore pages whose content changes too much etc.

And the AI part is not for product placement sale.

This would bring in a golden age of enlightenment, perhaps for - say - 20 years or so, before the inevitable erosion of base mission.

And all the strong data science types would want to work for it!
by karlperera | 2025-06-11 07:19:00+00:00
It's all about error correction according to this news. They're betting on their new qLDPC error-correction codes being significantly more efficient than other approaches. Starling is planned to be built in 2029.

Is this a genuine paradigm shift, or just a very confident press release? It seems like a huge challenge and what about the comepetition from Google, Microsoft, and Quantinuum? I'm curious to hear what others here think.
by DavidPiper | 2025-06-11 07:20:32+00:00
> The LLM providers [are] businesses that have to find a way to earn a ridiculous amount of money for a huge number of big investors, and capitalism does not have builtin morals. What externalities will the broader public end up paying?

I actually have a theory about this. I hate it, but I can absolutely imagine this future.

I'm going to specifically talk about the software engineering industry, but let's assume that LLMs progress to the stage where "vibe coding" can be applied to other areas ("vibe writing", "vibe research", "vibe security", "vibe art", "vibe doctors", "vibe management", "vibe CEOs", etc.)

It only takes a few years of "vibe coding graduates" to be successful in their work to create a new class of software engineer - this is in fact what AI companies are actively encouraging / envisioning as the future. Assuming this happens in the next few years, we're still in the phase where AI companies are burning money acquiring as many of these users as possible.

In about 5 years, some of those vibe coders will become vibe managers, and executives will no doubt be even more invested in LLMs as the solution to their problems.

At a certain tipping point, a large part of the industry can't actually function effectively without LLMs. I don't know when this point will be, but vibe coders (or other vibe <industry>ers) don't have to be a majority, they just have to be a large enough group.

Suddenly AI companies have all their losses called in and they have to pay back their VCs.

LLM usage prices skyrocket.

----

Four things happen across 2 axes:

- [A] Companies that can afford to pay skyrocketing LLM costs, vs. [B] those that can't

- [C] Companies that have reached a critical mass of vibe coders, vs. [D] those that haven't

----

[BC] These companies collapse. They don't have talent and they can't afford to outsource it to LLMs anymore.

[BD] These companies lay off all their vibe coders because they can't afford LLMs anymore. They survive on the talent they retain, but this looks very different if you're a large or small business. Small businesses probably fail too.

[AC] These companies see an enormous increase in costs that they cannot avoid. Large layoffs likely, but widespread vibe coding continues.

[AD] These companies have a decision to make: lay off all their vibe coders, or foot the LLM bill. The action they take will depend on their exact circumstances. Again, most small business in this situation probably fail.

---

The real question is, for the surviving vibe companies [AC, AD]. Will they be able to sustain such high costs in the long-run, and even if they can, will enough be able to sustain them to successfully pay back all the AI companies' losses to that date?

Interesting times ahead, maybe.
by rickdeckard | 2025-06-11 07:21:24+00:00
> The only real problem is the religious adherence to the glass design language that is hurting it

That's also my impression, iOS 26 looks like some UI's were peer-reviewed and thrown back with the note "Not gaudy enough, it's not enough glass! Remember, the theme is 'Liquid Glass', Management wants to see traces of this on every screen!"
by chgs | 2025-06-11 07:21:49+00:00
If they can make an extra $20 from adverts on to they will.

Sky TV makes 10 times as much from subscription as adverts but spends 30% of the time showing you adverts. London underground revenue is a similar ratio - for every £9 tickets they make £1 in adverts. If I go to the cinema they spend 20 minutes showing adverts to people who spent £50 on tickets and popcorn.

Companies shave very little incentive not to make things shit with adverts. The measurable cost to them is tiny, the cost to the rest of the world is massive. Odeon won’t attribute lost revenue from my reduced visits to their adverts, but will measure the 50p or whatever they get.
by sgt101 | 2025-06-11 07:23:42+00:00
>which is in many ways similar to our subconscious thinking

this is just made up.

- we don't have any useful insight on human subconscious thinking. - we don't have any useful insight on the structures that support human subconscious thinking. - the mechanisms that support human cognition that we do know about are radically different from the mechanisms that current models use. For example we know that biological neurons & synapses are structurally diverse, we know that suppression and control signals are used to change the behaviour of the networks , we know that chemical control layers (hormones) transform the state of the system.

We also know that biological neural systems continuously learn and adapt, for example in the face of injury. Large models just don't do these things.

Also this thing about deeper and deeper realities? C'mon, it's surface level association all the way down!
by arunabha | 2025-06-11 07:23:55+00:00
> People will pay for it.

I would love it if it were true, but sadly, the data doesn't support this. A lot of local newspapers did real journalism relevant to their communities. However, the local newspapers were the hardest hit by the social media wave and few remain today. Fast forward to now, you cannot get any real local news easily.

The avg person never really valued real journalism to begin with and the hyper targeting/polarization of social media and closed echo chambers has made it worse.
by probably_wrong | 2025-06-11 07:23:57+00:00
I would like to recommend Mate, which is a continuation of Gnome 2.

I like to think of my Desktop Environment as little as possible - if I'm thinking about it it's usually because it's getting in my way. In particular, I switched to Mate when the Gnome 3 team went Steve Jobs on us and implemented menus that couldn't be moved out of the way and a new desktop philosophy that didn't fit my current workflow. Gnome 2 worked just fine for my everyday work so by choosing Mate I know I'm getting a responsive, functional Destop Env. that won't throw random surprises at me.
by trashtester | 2025-06-11 07:24:07+00:00
The fears from 3 Mile Island and Fukushima were almost completely irrational. The death toll from those was too low to measure.

And the fears from Chernobyl was MOSTLY irrational.

The reason for the extreme fears that are generated from even very moderate spills from nuclear plants comes in part from the association with nuclear bombs and in part from fear of the unknown.

A lot (if not most) people shut their rational thinking off when the word "nuclear" is used, even those who SHOULD understand that a lot more people die from coal and gas plants EVERY YEAR than have died from nuclear energy throughout history.

Indeed, the safety level at Chernobyl may have been atrocious. But so was the coal industry in the USSR. Indeed, even if just considering the USSR, the death toll from coal alone caused a similar number of deaths (or a bit more) than the deaths caused by Chernobyl EVERY YEAR [1].

[1] https://www.science.org/doi/pdf/10.1126/science.238.4823.11....
by megalomanu | 2025-06-11 07:25:44+00:00
We just tested magistral-medium as a replacement for o4-mini in a user-facing feature that relies on JSON generation, where speed is critical. Depending on the complexity of the JSON, o4-mini runs ranged from 50 to 70 seconds. In our initial tests, Mistral returned results in 34–37 seconds. The output quality was slightly lower but still remain acceptable for us. We’ll continue testing, but the early results are promising. I'm glad to see Mistral prioritizing speed over raw power, there’s definitely a need for that.
by dcre | 2025-06-11 07:26:24+00:00
There’s a world of difference between “always sounds right, but actually is right 80% of the time” and “always sounds right, but actually is right 99% of the time.” It has seemed clear to me for a while that we are on the way to the latter though a combination of model improvement and boring, straightforward engineering on scaffolding (e.g., spending additional compute verifying answers by trying to produce counterarguments). Model improvement is maybe less straightforward but the trajectory is undeniable and showing no sign of plateauing.