MurphyA/hacker-news huggingface dataset:
by mark_l_watson | 2025-06-24 21:02:25+00:00
I read today that OpenAI is planning a ‘AI super app’ that would have canvas, word processing, etc., all in one work app. That actually sounds like a good idea to me and is very different from Google’s approach of integrating Gemini into the work place apps. Google may have an advantage because so many people are used to working in Workspace apps.
by hu3 | 2025-06-24 21:02:26+00:00
What model? It got right first try here with your exact prompt using the free GPT-4.1 model.

https://i.imgur.com/toLzwCk.png

ffmpeg -i movie.mov -c:v libx264 -preset medium -crf 23 -c:a aac -b:a 128k movie.mp4

BUT, I have this in my copilot-instructions.md file:

# Always follow these steps when responding to any request 1. Please do a round of thinking in <thinking></thinking> tags 2. Then a round of self-critique in <critique></critique> tags 3. Then a final round of <thinking>, before responding. 4. If you need more information, ask for it.
by rstuart4133 | 2025-06-24 21:02:41+00:00
Those figures aren't useful without more background information. For example, 88% of California jurisdictions have a minimum lot size of 5,000 sq ft (which sounds small to me, so that's a good thing?). For the 5,000 sq ft to be a limitation California would need a lot of inner city jurisdictions. In US and Australian suburbia a 5,000 sq ft lot is small, and there is lots of land outside of the cities. On the other hand, if we are talking high density inner-city housing whether everything is accessible via public transport then 5,000 sq ft is far too large as you say. It would not fly in a European city. But most of California isn't like that, so the 88% sounds fine.

And two parking spots per single family home sounds in line with a California household having close to 2 cars. Again, 2 cars is overkill in the city, but in suburbs with both parents working it's almost a necessity.

Your final point has no figures to back it up at all.

While TV's, AC, plantation blinds, stone bench tops, multiple shower roses, 2 dish washers, plumbed in fridge, and so on each don't add much individually the a modern house today is downright opulent compared to the one I grew up in decades ago. Add that to them doubling in floor area per person housed, and you get to the real reason why costs have more than doubled.

All of that follows from one thing - only rich people have the money to build homes, and they build homes rich people like. Those houses are big. They sit on large green lots. They are fenced. They can garage at least 2 cars. They are expensive, and they want similar houses around them, so they, the people who live there, petition for laws like the ones you mention. And they get them, reasonably enough.

To me it looks like you're blaming the government for delivering what the constituents asked for. Blaming a democratically elected government for passing laws the majority wants isn't going to stop the majority from re-electing them next year. You need to do something more constructive - like come up with reasons why it's in everyones interest (rich and poor alike) to ensure a single mother with 2 can be housed, and them work on solutions for that.

This infatuation in the USA for blaming the government they elected for all their woes is downright odd. Blame generally doesn't get you very far.
by qwerpy | 2025-06-24 21:02:50+00:00
I was just complaining about this in my previous comment. You can block entire "channels" e.g. WSJ and others, who serve News+ content. But now Apple weasels out of it by telling you "Fine we'll block stories from here, unless our editors decide to feature a story, in which case you'll still see it".

Really disappointing to see Apple go this way. Now our only choices are devices with adware or expensive devices with mild (but worsening) adware.
by vpShane | 2025-06-24 21:02:59+00:00
It's an AI race and they're all vibing off of what the other ones are doing and implementing accordingly. Meanwhile, I've been enjoying Google's AI studio. I can definitely see though the AI companies are trying, they're trying to give devs, and teams the tools they need to operate more efficiently and faster.

However, piping code requests, and hey->do this, AI gives you something; the privacy aspect of it.

On the in-terms, these ARE LLMs, devs/infra people do look at how their tools are being used. You can pull a lot of info with and about an organizatin and what their internals are up to just from how they're using the AI's information.

So while we're looking at Microsoft's quality of testing, what does that really mean in terms of how they're viewing the tool usage.
by rsstack | 2025-06-24 21:03:04+00:00
Zillow have the MLSs network that provide them lists, a similar solution could apply if courts agree that library copies apply for this - Anthropic could sign agreements with large libraries and "check out"/"freeze" copies for a minimally-agreed-upon duration and query across all to see which has a copy of each book they need. Spotify and Apple Music sign deals en masse with labels, the same could apply here with book publishers, labels for lyrics, museums for art, etc. Or whatever other creative solution that people who will need to find, will find. Right now they took the laziest path, because it worked. They will find the next-laziest path that works.

And the easiest option: Legislation change. If it's completely decided that the current law blocks LLMs from working in the US, the industry will lobby to amend the copyright law (which is not immutable) to add a carveout for it.

You're assuming that people will just give up. People never gave up, why would they now?
by KoolKat23 | 2025-06-24 21:03:07+00:00
Actually very close to one I'd say.

It's a "visual language action" VLA model "built on the foundations of Gemini 2.0".

As Gemini 2.0 has native language, audio and video support, I suspect it has been adapted to include native "action" data too, perhaps only on output fine-tuning rather than input/output at training stage (given its Gemini 2.0 foundation).

Natively multimodal LLM's are basically brains.
by WorldMaker | 2025-06-24 21:03:35+00:00
You are thinking long term profitable, but most of the current "activist investors" barely think about short term profitability, and mostly from the perspective of their own profitability selling shares or running a short somewhere and "indirectly" helping their short by giving bad advice to a different company. They mostly read the quarterly reports and that mostly to look for "easy profits" Company A is making that they could pressure Company B to do for a quarter or two to bump stock prices before they sell again. Swoop in when a company has a bad quarter, pressure them to have "one good quarter", sell, rinse, repeat. (Makes them good money, makes most companies a race to the bottom to appease their whims as short-term investors.)
by mystified5016 | 2025-06-24 21:03:46+00:00
Yup. I ran a bot a long time ago and it was pretty trivial to quietly scrape the entire history of any server it was in.

I only ever did this on my own server for good reason, but still.

Really a bot doesn't have any more access than a user does. You as a user can manually scroll back through the entire server history, you can check on roles, and you can see the names of channels that are hidden from you.

But it becomes a problem when bots are doing this at scale and selling the resulting data. Sort of like some other bots that people like to argue are doing the same thing a human could.
by sho_hn | 2025-06-24 21:03:57+00:00
What you want is exactly how fractional scaling works (on Wayland) in KDE Plasma and other well-behaved Wayland software: The scale factor can be something quirky like your 1.785, and the GUI code will generally make sure that things nevertheless snap to the pixel grid to avoid blurry results, as close to the requested scaling as possible. No "extra window system transforms".
Ask HN: What's your fastest conversion from cold outreach to prepaid client?
by iamarsibragimov | 2025-06-24 21:03:59+00:00
We’re working on an AI-powered platform that helps executive search firms generate candidate market maps - fast.

A couple of weeks ago, we ran an outbound experiment on LinkedIn: - Cold DM to a hiring manager - 1 demo call (30 minutes) - Closed €2,000 pilot project - Delivered in 5 days - 7 days later: same client came back and prepaid €15,000 for 10 more projects

Total: €17k closed in 14 days, from first message to payment. That’s our fastest B2B conversion to date.

Key elements we think made it work: - Specific pain point (slow hiring / manual market mapping) - Simple offer (fixed scope, low friction) - Speed: we delivered before their internal team even started

Results = best sales pitch

Now we’re thinking: how can we make this repeatable?

If you’ve closed early sales fast - what made it work? And if you’ve productized AI-powered services, how did you keep margins & speed?
Show HN: Letter Lockbox – A word game I built over the weekend with Claude Code
by christensen143 | 2025-06-24 21:04:13+00:00
I have been wanting to build something with AI from scratch but never found a good idea. I love word games like Wordle and Spelling Bee so I used Gemini to filter through some ideas for word games. After I had three ideas I took them to family and friends and asked which one I should build. My daughter really liked the Letter Lockbox idea so I started there. Cole Medin has a great video on YouTube on how to use AI for iterative development [https://www.youtube.com/watch?v=SS5DYx6mPw8&t=395s] and I used his method to create a PLANNING.md and a TASK.md file. This was a blast to make and it is live! Enjoy!
by Animats | 2025-06-24 21:04:32+00:00
> The status of Iran’s nuclear sites (and more importantly, its stockpile of enriched uranium) is anyone’s guess at this point. It’s likely that no one truly knows, not even the Iranians.

The project is dispersed and hardened enough that a single attack probably wont' be a decisive blow.

The surprising thing is that Iran doesn't have an atomic bomb yet. Enrichment is the hard part. Building an A-bomb from enriched uranium is not that difficult. The technology is 80 years old and most of it is well known. It's no worse than building, say, an auto engine from scratch, something racing shops do routinely.

H-bombs are another matter. Those are hard.
by dang | 2025-06-24 21:04:48+00:00
This looks to be about the point where this exchange turned into a tit-for-spat...a really bad one. This is not what HN is for, so please avoid this in the future. I know it isn't always easy to do that, but you both violated the site rules really badly here.

https://news.ycombinator.com/newsguidelines.html
by voskresenie | 2025-06-24 21:04:49+00:00
I'm an amateur composer and it pains me to know that, given my lack of credentials, my work will always be viewed with the suspicion of AI involvement. I version control my scores for this reason, at the very least I can prove that it took me weeks, months, or sometimes years of effort and revisions to compose something, even if I can't prove that each revision wasn't just the output of an AI. It was already bad enough worrying that a melody or sequence I wrote is too similar to some other existing work and judged to be plagiarism, but that pales in comparison to AI suspicions.
by dang | 2025-06-24 21:04:52+00:00
This looks to be about the point where this exchange turned into a tit-for-spat...a really bad one. This is not what HN is for, so please avoid this in the future. I know it isn't always easy to do that, but you both violated the site rules really badly here.

https://news.ycombinator.com/newsguidelines.html
by quantadev | 2025-06-24 21:04:57+00:00
I love Copilot in VSCode. I always select model "Claude Sonnet 3.7", when in Copilot since it lets me choose the LLM. What I love about Copilot is the tight integration with VSCode. I can just ask it to do something and it relies on the intelligence of Claude to get the right code generated, and then all Copilot is really doing is editing my code for me, reading whatever code Claude tells it to, to build context, etc.
by dang | 2025-06-24 21:05:12+00:00
This is unrelated but can you please look at https://news.ycombinator.com/item?id=44371049 and https://news.ycombinator.com/item?id=44371052?

The thread in question is already 6 days old but you (both) broke the site rules so badly that this is not one to let pass.

We end up having to ban accounts that break the site guidelines like that, so please don't do it again.

https://news.ycombinator.com/newsguidelines.html
by GeneralMayhem | 2025-06-24 21:05:12+00:00
The tradeoff on short domestic flights is that it encourages more - and larger - carry-ons, which slows down boarding/deplaning and therefore adds to turnaround time. If I don't have to pay for checked bags, I'd often prefer to have mine checked, especially if I have a connection - but since I do, I'll squeeze everything into a carry-on roller bag instead. Personally, it only takes me an extra second or two, but when you have a whole family doing this and only parent who can actually reach the overhead bins, it bogs down the whole aisle.
by westurner | 2025-06-24 21:05:42+00:00
NewsArticle: "Oxford physicists recreate extreme quantum vacuum effects" (2025) https://www.physics.ox.ac.uk/news/oxford-physicists-recreate...

NewsArticle: "Photons collide in the void: Quantum simulation creates light out of nothing" (2025) https://www.sciencedaily.com/releases/2025/06/250608072527.h...

ScholarlyArticle: "Computational modelling of the semi-classical quantum vacuum in 3D" (2025) https://www.nature.com/articles/s42005-025-02128-8

OSIRIS docs: https://osiris-code.github.io/documentation/

OSIRIS docs > Reference guide > Input file structure: https://osiris-code.github.io/osiris/reference/

OSIRIS docs > Checkpointing: https://osiris-code.github.io/documentation/checkpointing

OSIRIS Consortium: https://osiris-code.github.io/consortium/ ; like OpenMPI:

> The goal of the open-source OSIRIS project is to provide a large user base with a flexible software framework to study a variety of physics problems within high energy density plasma science, plasma-based acceleration, space and astrophysics, the nonlinear optics of plasmas, QED and other exotic plasmas, and high-intensity laser and beam plasma interactions.

OSIRIS PIC source: https://github.com/osiris-code/osiris/tree/main/source (Fortran)

Do such extreme quantum vacuum effects affect the 100 Gbit/s of random at that point in quantum foam spacetime? [1]

1. "100-Gbit/s Integrated Quantum Random Number Generator Based on Vacuum Fluctuations" https://link.aps.org/doi/10.1103/PRXQuantum.4.010330 .. https://news.ycombinator.com/item?id=43497414 :

>> google/paranoid_crypto.lib.randomness_tests
by hengheng | 2025-06-24 21:06:06+00:00
As always there is a difference between what course of action is widely agreed to make sense for everyone involved, and what course of action is in agreement with the structure of the corporation. The Audi/ Cariad disaster being just one example.

I'd like to see some insight on whether this has a realistic chance of being the winning bet within the companies involved. So far it sounds too obviously useful to win the politics game.
by roywiggins | 2025-06-24 21:06:15+00:00
LLMs will write out explanations that are entirely post-hoc:

> Strikingly, Claude seems to be unaware of the sophisticated "mental math" strategies that it learned during training. If you ask how it figured out that 36+59 is 95, it describes the standard algorithm involving carrying the 1. This may reflect the fact that the model learns to explain math by simulating explanations written by people, but that it has to learn to do math "in its head" directly, without any such hints, and develops its own internal strategies to do so.

https://www.anthropic.com/news/tracing-thoughts-language-mod...

It seems to be about as useful as asking a person how their hippocampus works: they might be able to make something up, or repeat a vaguely remembered bit of neuroscience, but they don't actually have access to their own hippocampus' internal workings, so if they're correct it's by accident.
by legitster | 2025-06-24 21:06:41+00:00
I think this is true in a general sense - buyers are always very susceptible to an upsell.

But also in general people are very astute at booking flights. Maybe the first time someone flies Spirit Airlines they feel like they've been conned. But I think most buyers now are just very particular about their features (Google Flights and Kayak both make these restrictions very prominent during the booking process)
by dang | 2025-06-24 21:06:50+00:00
This is unrelated but can you please look at https://news.ycombinator.com/item?id=44371049 and https://news.ycombinator.com/item?id=44371052?

The thread in question is already 6 days old but you (both) broke the site rules so badly that this is not one to let pass.

We end up having to ban accounts that break the site guidelines like that, so please don't do it again.

https://news.ycombinator.com/newsguidelines.html
by bonoboTP | 2025-06-24 21:07:04+00:00
Surely this would require the observation that the public is actually using LLMs as a substitute for purchasing the book, ie they sit down and type "Generate me the first/second/third chapter of The Da Vinci Code" and then read if from there. Because it was easy to observe in the cassette tape era that people copied the store bought music and films and shared it among each other. I doubt that this is or will be a serious use case of LLMs.
by chaosharmonic | 2025-06-24 21:07:07+00:00
> Sony tried to compete with the bet camera, best DAC and I don't think those phones sold.

They were also priced like it -- and worse, many of them weren't available through US carriers, which is prohibitive to a market that often won't spend Kaz Hirai money all at once on a phone.

You're otherwise restating my point, though. Many of the niche hardware features don't have to be built into the device if you just offer more baseline extensibility.
by beepbooptheory | 2025-06-24 21:07:10+00:00
Yes gotcha. But just try to think it through carefully: does this really capture what is going on in these many instances? There is an implication here maybe that you have been on the short end of some interactions in the past, did you really feel subjugated by some abstract power then? Did it really seem like the person on the other end was getting some satisfaction, some giddy kickback from their "sovereignty"?

Does it not feel at least a little juvenile to think like this, if you look at it critically, maybe from a little more the outside than you seem to be? These kind of pat armchair psychologies that answer in one breath the phenomena of culture, of human interaction feel just extremely schoolyard to me... but I guess ymmv.

At the very least: its unfalsifiable; one could easily go the other way and say "people love to belong to a group, and being able to police another group's language/jokes/etc is the best mechanism for reinforcing their belonging".

To picture you and your smug interlocutor as ever placed in some asymmetric structure where they are the king and you are the pauper belies the staying power of these controversies, the clear struggle they manifest. You make it sound so much like there never even is a battle, just spontaneous winners and losers.

I don't want to come off as harsh, but what you are arguing for is the logic of a loser, in the technical sense. Its asserting a projection you/others have of perceived intellectual enemies as a kind social theory for everything. It dooms you to fatalism you just dont need to have! Humans, for better or worse have a capacity for much more complicated motives. You do not need to "Mean Girls" the entire world!
by treesknees | 2025-06-24 21:07:30+00:00
Microsoft Copilot uses their own model that is originally based on GPT-4 if I’m not mistaken.

But, it’s mostly a RAG tool, “grounded in web” as they say. When you give Copilot a query, it uses the model to reword your query into an optimal Bing search query, fetches the results, and then crafts output using the model.

I commend their attempt to use Bing as a source of data to keep up to date and reduce hallucinations, especially in an enterprise setting where users may be more sensitive to false information, however as a result some of the answers it gives can only be as good as the Bing search results.
by vbezhenar | 2025-06-24 21:07:40+00:00
I've found old SDK actually not that bad. Documentation is not great, but sources are available and it's just mostly C code with some hairy macros, but it's manageable. After few weeks I became quite proficient. I don't like their suggested approach "copy&paste example you like and tinker it", I never do that, so I had to untangle their Makefiles, I had to research their defines (app_config.h, what's a monstrosity), I had to write my own linker scripts, but in the end I have my application under control and it's all standard gcc toolchain, no fancy stuff.
by nullc | 2025-06-24 21:07:45+00:00
The principal of optimal slack tells you that if your training will take N months on current computing hardware that you should go spend Y months at the beach before buying the computer, and you will complete your task in better than N-Y months thanks to improvements in computing power.

Of course, instead of the beach one could spend those Y months improving the algorithms... but it's never wise to bid against yourself if you don't have to.

A colloquially is that to maximize your beach time you should work on the biggest N possible, neatly explaining the popularity of AI startups.
by traverseda | 2025-06-24 21:07:48+00:00
I don't think nix is that hard for this particular use case. Installing nix on other distros is pretty easy, and once it's installed you just do something like this

#! /usr/bin/env nix-shell #! nix-shell -i bash -p imagemagick cowsay # scale image by 50% convert "$1" -scale 50% "$1.s50.jpg" && cowsay "done $1.q50.jpg"

Sure all of nixos and packaging for nix is a challenge, but just using it for a shell script is not too bad
by jajuuka | 2025-06-24 21:08:34+00:00
There are definitely enough people playing on Mac's to justify continued support of the client. Plus developers are still making macOS ports. The Mac App Store isn't very popular for games and most gamers tend to prefer Steam still. So that's just money on the table.

Valve hasn't updated their own games but that's a whole a different calculation. Wouldn't be surprised if they never update those to run on Apple Silicon or whatever else they change to in 10 years.
by proc0 | 2025-06-24 21:08:37+00:00
This is an excellent take and I agree with most of it. Current AI is still narrow AI but in the domain of pattern matching, which gives the illusion that it's understanding and processing things like a human. Despite its shortcomings it's already changing how we access information and I do think it will change interfaces across a lot of domains as suggested.

However I'm not so sure AGI will need emotions.

> I'm by no means a psychologist or philosopher, but I think we would need some sort of genuine consciousness or emotions like knowledge. Not just simulated responses, but actual felt experience.

I don't think you need emotions for intelligence. I think emotions are heuristics that evolution has created BEFORE there was human level intelligence. All emotions are tied to our instincts, to our animal side. We just haven't discovered the algorithm for intelligence in humans. LLMs will show impressive amounts of knowledge but then it gets confused or refuses to follow a simple detail in the prompt in a way that an intelligent entity would never do.