MurphyA/hacker-news huggingface dataset:
by kris-kay | 2025-07-03 18:21:19+00:00
> this would be a lot more useful to me on mobile if I could hide or collapse the box.

Are you referring to the code preview area?

In my first implementation, I had a small demo rectangle above the generator UI, but even a small one took up too much space and made the UI harder to use. If I let the whole page scroll, people got frustrated because it wasn’t obvious they needed to stay at the top of the scroll to see the rectangle they were editing.

Since this tool is mainly intended for coding, I’m prioritizing the desktop experience, with mobile acting more as a quick preview and proof that it works on mobile. That said, if you know of any similar UI that works really well on mobile, please share links!
by pxc | 2025-07-03 18:22:04+00:00
As it is currently written, this is less useful the more niche your interests are. I think for such users, looking at their comment history or upvoted history might be useful instead of or in addition to just sampling recent, popular articles.

In my case, none of the topics I most like to read about and discuss on HN (package management, software freedom, next-gen CLI tools, next-gen shells, philosophy, desktop Linux, functional programming, hacker history, literate programming, Emacs, bitching about common development practices, programming language design, configuration languages) managed to appear in the 30-post sample I used. The profile it wrote for me was pretty good considering that, but definitely not great.

The assessment was also mistaken about my degree of interest in "low level" technical details like binary file formats (in fact it's rather low, although it has gradually increased over time), and my degree of interest in theoretical computer science issues (in fact it's high, but all of the theoretical papers in the sample were about machine learning, which was not an area of academic focus for me).

I do really like the simplicity and customizability of this (exposing the profile as Markdown and making it editable is awesome), and the quality of the results is very good given the tiny input size. But if your primary interests are not super aligned with the mainstream on HN, you won't get a chance to demonstrate that you like them. If users could type a few terms to say what their biggest interests are before running through the samples, this could work even better for people like me.

It would also be interesting if this could work based on article contents and not just headlines. Sometimes I open something and close it immediately, or I open it undecided as to whether I will skim or read closely.
by tmp10423288442 | 2025-07-03 18:22:05+00:00
Modern Egyptians are primarily Arab. If anyone is a descendant of the Ancient Egyptians, it’s the Coptic Christians, who still use a descendant of the Ancient Egyptian language as a liturgical language and mostly don’t have any Arabic ancestry (since the child of an Arab Muslim and a Copt would almost always be considered an Arab Muslim).
by kibwen | 2025-07-03 18:22:48+00:00
Documentaries might care about accurately representing reality. For every other cinematic genre, "authenticity" is not an inherent goal. If film grain is part of the director's vision, then that's just as valid as a choice to have dramatic non-diagetic music playing in the background of a scene (which is highly inauthentic, but also highly effective at evoking emotion, which is the point of art).
by sharkjacobs | 2025-07-03 18:23:01+00:00
> This is the first time a major provider has backtracked on the price of an established model

Arguably that was Haiku 3.5 in October 2024.

I think the same hypothesis could apply though, that you price your model expecting a certain average input size, and then adjust price up to accommodate the reality that people use that cheapest model when they want to throw as much as they can into the context.
by taeric | 2025-07-03 18:23:05+00:00
If you aren't against RCTs, then I don't think we disagree? Your post certainly makes it sound like you feel there are better ways than RCTs to get an idea of how well things work.

And fair that "work" is not necessarily a binary answer. I think we can easily agree there is no panacea out there. But that doesn't mean you can't make pretty good learning based on the trials.

In common probabilistic game terms, we know that most hands are not as good as pocket aces at hold em. Even if we can say that the aces will not win near 20% of the time.
by 0x3444ac53 | 2025-07-03 18:23:21+00:00
Disclaimer: I despise this administration, and think ICE should be abolished.

I would assume they mean that cops have a general duty to prevent/catch crime. So all you're doing by notifying people with waze or head taps is saying "hey there's police there!" Which everyone has a right to know.

However, because ICE is specialized, warning people of their presence might be seen as more akin to attempting to warn someone that their house is about to be raided by the FBI
by incomingpain | 2025-07-03 18:24:25+00:00
I think the big thing that really surprised me.

Llama 4 maverick is 16x 17b. So 67GB of size. The equivalency is 400billion.

Llama 4 behemoth is 128x 17b. 245gb size. The equivalency is 2 trillion.

I dont have the resources to be able to test these unfortunately; but they are claiming behemoth is superior to the best SAAS options via internal benchmarking.

Comparatively Deepseek r1 671B is 404gb in size; with pretty similar benchmarks.

But you compare deepseek r1 32b to any model from 2021 and it's going to be significantly superior.

So we have quality of models increasing, resources needed decreasing. In 5-10 years, do we have an LLM that loads up on a 16-32GB video card that is simply capable of doing it all?
Show HN: Jobinator – Fresh jobs from Hacker News, parsed and categorized by AI
by erezsh | 2025-07-03 18:24:26+00:00
I was spending too much time going manually through the job posts in HN, and it felt inefficient. I wanted to filter based on criteria like salary, remote/contract work, etc., and couldn't find a webpage for that. So, I decided to spend significantly more of my time, in order to write one. Was that wise? Unclear. But it's been pretty useful to me in my search for work, and perhaps it will also be useful to someone else here!
by fenomas | 2025-07-03 18:25:47+00:00
The underlying issue with TFA is that it's a player describing a thing they want to attempt - and then also describing whether the attempt succeeds, and what the precise result is.

And that's... not D&D? I mean players could certainly attempt to have several people pass an object quickly with the Ready action, under RAW. But what happens next isn't "the rod speeds up to such and such a speed", it's "the DM decides whether the peasants need to roll a dexterity check" and so forth.

And to me as a DM, that's why I find articles like TFA annoying. Not because it's confused about fall damage (though it is!), but because it's confused about who decides whether to apply fall damage!
by mdhb | 2025-07-03 18:25:54+00:00
The balance of power hasn’t made that a logical argument for a long time now.

Compare and contrast say the provisional IRA fighting the Brits to a stalemate in Northern Ireland for 30 years from the 70s-90s and then look at a modern equivalent in Palestine. The idea of a “well trained militia” doesn’t work when they can bomb you from the skies.
by kderbe | 2025-07-03 18:26:22+00:00
The article points out the masking effect of grain, which hides the fake-looking compression artifacts, and also the familiarity/nostalgia aspect. But I will offer an additional explanation.

Look around you: nearly all surfaces have some kind of fine texture and are not visually uniform. When this is recorded as video, the fine texture is diminished due to things like camera optics, limited resolution, and compression smoothing. Film grain supplies some of the high frequency visual stimulus that was lost.

Our eyes and brains like that high frequency stimulation and aren't choosy about whether the exact noise pattern from the original scene is reproduced. That's why the x265 video encoder (which doesn't have grain synthesis since it produces H.265 video) has a psy-rd parameter that basically says, "try to keep the compressed video as 'energetic' as the original, even if the energy isn't in the exact same spot", and even a psy-rdoq parameter that says, "prefer higher 'energy' in general". These parameters can be adjusted to make a compressed video look better without needing to store more data.
by dragonwriter | 2025-07-03 18:26:37+00:00
> If he's actually that good for real, I'm surprised why he won't want to do it legit, he'd go way further than scamming people

If you can get and hold dozens of concurrent full-time engineering jobs by scamming people, you can get much further much more quickly than is possible in any one of the full-time engineering jobs you can get.

This is obviously unethical, relies on non-guaranteed success, and falls apart if people are able to effectively claw back your gains from scamming, but that's not (obviously) enough to outweigh the desire for quick returns for some people.
by CharlesW | 2025-07-03 18:28:05+00:00
> How much grain is there in IMAX films?

I've read that a 15-perf 65mm IMAX negative shot with slower film stocks is "virtually grainless", even when viewed on a 70ft screen. Grain is apparently noticeable in IMAX films when large/fast stocks are used and pushed toward their limits, and (of course) when smaller-format film stocks have been blown up.
by dperfect | 2025-07-03 18:28:14+00:00
To the comments hating on grain: everything naturally has some amount of noise or grain - even the best digital sensors. Heck, even your eyes do. It's useful beyond just aesthetics. It tends to increase perceived sharpness and hides flaws like color banding and compression artifacts.

That's not to say that all noise and grain is good. It can be unavoidable, due to inferior technology, or a result of poor creative choices. It can even be distracting. But the alternative where everything undergoes denoising (which many of our cameras do by default now) is much worse in my opinion. To my eyes, the smoothing that happens with denoising often looks unrealistic and far more distracting.
by toomuchtodo | 2025-07-03 18:28:27+00:00
Strange argument. The laws bind economically to extract (“these bits are gated, you must pay or go to jail for not paying for them” in this context), they are not affording what you describe. Ignoring or evading them is where the security, comfort, and privilege come from. Freedom is being ungovernable.

“Laws are threats made by the dominant socioeconomic-ethnic group in a given nation. It’s just the promise of violence that’s enacted and the police are basically an occupying army.” is a fun quote on this. Laws don’t protect me, they protect those with property and capital, as well as large companies that have limited to no liability. I protect me.

Anyway, I block ads and don’t care.
by dylan604 | 2025-07-03 18:28:32+00:00
> and not really grain like

that's an understatement. it just looks like RGB noise effect was added. film grain does not look like RGB noise. to me, film grain is only one part of what gave film the film look. the way the highlights bloom rather than clip. it also was more natural/organic/some descriptive other than the ultrasharp of modern digital acquisition. using some SoftFX or Black Mist type filters help, but it's just not the same as it is a digital vs analog type of acquisition. all of these attempts at making something look like it's not just keep falling down in the same ways. but hey, there's a cool tech blog about it this time. film grain filters have been around for a long time, yet people just don't care for them. even in Blu-ray time frame, there was attempts at removing the grain in the encode and applying it in playback. Netflix isn't coming up with anything new, and apparently nothing exciting either based on the results.
by 12_throw_away | 2025-07-03 18:29:34+00:00
I think the distinction the author is making is that:

- a Heisenbug is stochastic and potentially non-local, but

- a Higgs-Bugson is a bug that is known to exist (in prod) but is extremely hard to observe in the lab (during dev/testing).

I can see it being a useful distinction. A bug that I can't even reproduce at all sits in a different ring of hell from, say, a memory corruption bug that makes the program crash on random unrelated lines of code.
by hellojesus | 2025-07-03 18:29:43+00:00
Thanks, I appreciate that.

I want to be more progressive. I really do! It feels good because typically you get to provide for the less fortunate. But my atomic unit is the individual, and I can't seem to make my belief system reconcile individual liberty and government-enforced charity. That's why I come here sometimes. It helps me talk through things and try to find counterexamples to my ideology.

I appreciate everyone's time and discussions.
by threatofrain | 2025-07-03 18:30:14+00:00
Off the shelf Chinese drones is somewhat vague, we can just say DJI. Their full drone and dock system for the previous generation goes for around $20k. DJI iterates on this space on a yearly cadence and have just come out with the Dock 3.

54 minute flight time (47 min hover) for fully unmanned operations.

If you're talking about fpv racing where tiny drones fly around 140+ mph, then yeah DJI isn't in that space.
by jasonthorsness | 2025-07-03 18:30:55+00:00
Unfounded extrapolation from a minor pricing update. I am sure every generation of chips also came with “end of Moore’s law” articles for the actual Moore’s law.

FWIW Gemini 2.5 Flash Lite is still very good; I used it in my latest side project to generate entire web sites and it outputs great content and markup every single time.
by sota_pop | 2025-07-03 18:31:26+00:00
Wow, I watched a presentation of this idea (2) years ago. It reads like classic flavor-of-the-week jargon-soup engineered to be catnip for unsuspecting VC; ie combining buzzwords HTTP, IoT, AI, blockchain, and the notion of “digital twin” from the AEC industry. Given by a guy who seemed extremely excited (and heavily energized - possibly chemically). The presenter tried to describe how this differs from HTTP. I’m highly confident no one in the room was able to make anything of it.

Before any questions could be asked, the presenter said “OK, I need to run to give this presentation at the World Economic Forum in Davos now.”, and quite literally ran out of the room.
by simonw | 2025-07-03 18:31:32+00:00
I don't believe that's true on inference - I think most if not all of the major providers are selling inference at a (likely very small) margin over what it costs to serve them (hardware + energy).

They likely lose money when you take into account the capital cost of training the model itself, but that cost is at least fixed: once it's trained you can serve traffic from it for as long as you chose to keep the model running in production.
by giantfrog | 2025-07-03 18:31:43+00:00
This is a really fun exercise; a rare example of something that's "data-centric" without being soulless.

I think it's fascinating how it illustrates weirdness about how Americans think about and categorize "ethnic" food. For example, the author's analysis of Google data shows Glendale, CA ranks #1 for "Highest prevalence of Mediterranean Restaurants." But I am nearly certain the majority of these, given Glendale's demographics, are in fact Armenian or Persian restaurants. Both Iran and Armenia are of course quite far from the Mediterranean region, but for whatever reason (rice? flat breads? grilled things on a stick?) have gotten lumped in with some Americanized, genericized conception of "the Mediterranean" that's indistinguishable from "the Middle East." I would imagine you'd find the same thing happening on Yelp etc.
Show HN: Aview – One-upload AI for global content distribution
by amaharaj93 | 2025-07-03 18:32:33+00:00
Hey HN! I’m Akshay, and I built Aview, an AI platform that localizes and distributes your existing videos, podcasts, and courses into multiple languages—automatically. Think of it like MrBeast’s international media team, but packaged into one smart system.

Why I built it Back in 2017 I cold-pitched Logan Paul from my high school bedroom and assembled an 80-person translation pipeline. We unlocked millions of global views in weeks. But it was manual, slow, and expensive. I wanted to make global video scaling as easy as uploading to YouTube.

What it does • Translates voice, captions, and on-screen text • Adapts tone, pacing, and cultural nuance • Auto-formats content for regional platforms • Publishes across 10+ markets—no manual effort

How it works Built with a multi-modal AI stack (speech-to-text, translation, voice synthesis). One upload triggers a 90% automated workflow end-to-end.

Why it matters Companies still run global content manually. We changed that for some of the largest creators and brands in the world. We’re growing 30% MoM and have $3M+ ARR in pipeline.

This is live, you can try it today (no signup barrier). I’d love your feedback on the concept, tech, performance, UX, pricing—whatever catches your eye.

Thanks for checking it out! – Akshay (akshay@aviewint.com)
by kianN | 2025-07-03 18:32:36+00:00
I built a public literature review search tool for some graduate student friends that became pretty popular in the Santa Barbara area. It actually does exactly what you are describing.

It’s not neural network based: it leverages hierarchical mixture models to give a statistical overview of the data. It lets you build these analysis graphs via search or citation networks.

Example: https://platform.sturdystatistics.com/deepdive?search_type=e...
by codekansas | 2025-07-03 18:32:58+00:00
Yeah of course. That's kind of the whole point - I don't think you can really trust a humanoid robot in your house around your family if it is not clear what it's running. Basically, for myself, I would not want to buy a closed sourced humanoid, and I view myself as relatively representative of the early adopter mentality. So personally I think this is the right way to build a great product.

I basically believe that in a world where humanoid robots are actually useful, we will not have any trouble monetizing. Probably we will verticalize manufacturing at some point in the future. I think the bigger risks for our business model are not from people copying us or something, but from not making progress fast enough.
by Marsymars | 2025-07-03 18:33:21+00:00
> Kernel level packet filtering to avoid Spotify ads is about the same level of mental gymnastics as the GPT-generated “we’re not pirates” argument in their README.

This jumble of sentences stuck out to me as logically incoherent, but not necessarily LLM-generated. I guess I need to update my mental model a bit to account for more things being being LLM-generated.
by LugosFergus | 2025-07-03 18:33:53+00:00
Lack of sufficient tooling support was my issue. Debugging and autocomplete was a flaky mess in VSC. The plugin for VS pro wasn’t much better.

I did not like DUB at all. Its default behavior was to not segregate artifacts by configuration, and trying to change that was a headache.

It’s too bad, though. It’s a nice language, but I can’t see it making any inroads at this point.
by dylan604 | 2025-07-03 18:33:56+00:00
> provide distributors with a noiseless source plus grain synthesis parameters.

What parameters would that be? Make it look like Eastman Ektachrome High-Speed Daylight Film 7251 400D? For years, people have taken film negative onto telecines and created content of grain to be used as overlays. For years, colorists have come up with ways of simulating the color of specific film stocks by using reference film with test patterns that's been made available.

If a director/producer wants film grain added to their digital content, that's where it should be done in post. Not by some devs working for a streaming platform. The use of grain or not is a creative decision made by the creators of the work. That's where it should remain
by lubujackson | 2025-07-03 18:35:09+00:00
I think this is a good use of AI. Change your thinking - the code is, and has always been, a medium between the computer and the human. Where is the human? Where do we define our intent? AI gives us a chance to redefine that relationship or at least make it more fluid.

A well-architected system is easier to develop and easier to maintain. It makes sense to put all the human effort into producing that because, lo and behold, both humans and LLMs can produce much better results within a well-defined structure.
by MatteoFrigo | 2025-07-03 18:35:16+00:00
Author (of the code) here.

The context is the US mobile drivers licenses and the forthcoming digital identity documents in the EU. The government gives you an electronic document stored in your device, and now the problem is, why would you ever want to give a copy of your document to a third party. This code solves the problem via zero-knowledge presentations of the document. This is real stuff already integrated in Google Wallet, not vaporware. See also the paper linked from GitHub. Ignore the marketing in TFA.
by hluska | 2025-07-03 18:35:38+00:00
This is really interesting because I was in business school almost thirty years and a cost accounting professor used almost this exact example, only with photocopiers and fax machines to illustrate how you can cost a company to death.

He would have considered that company to be running a perfectly controlled cost experiment. Though it was so perfectly controlled they forgot that humans actually did the work. With cost accounting projects, you pay morale and staffing charges well after the project itself was costed.

I hadn’t thought of that since the late 90s. Good comment but how the heck did I get that old??? :)
by codekansas | 2025-07-03 18:35:53+00:00
Yeah I think humanoids are a pretty fraught area. There's definitely been some backlash but overall I have really appreciated the responses we've got from people. Like, I just want people to care about what we're doing - if positive that's great, if negative then we can learn how to do better. As long as people have an opinion one way or the other, I'm happy :)
by jauntywundrkind | 2025-07-03 18:35:54+00:00
Congratulations on re-highlighting my greatest complaint about your qualm-making, a propensity for adding factors into the mix that have nothing to do with the big picture.

To me, 47 or 37 req/s seems like a fantastically immaterial difference. It's just not a big enough change in magnitude to really affect the situation.

Accurate qualm, and being technically correct. Personally I'd try to find a more liberal minded approach when trying to hold in my mind the question for what efficient set membership might be good for.
by mathiaspoint | 2025-07-03 18:36:43+00:00
Wait so are people just going to lose their passwords? That seems like terrible PR for a company that want to shift to services. If you rug people just for marketing reasons like that why should anyone trust you with important business processes. This won't be something people can just ignore, if I lost my (homebrew for exactly this reason) password manager it would probably cause close to 40 hours of time cleaning up the mess spread out of months. We're talking about millions, potentially even billions of dollars worth of destruction depending on how many people were stupid enough (yes that's the appropriate word although it's more obvious now) to trust Microsoft to maintain their secrets for them.
by smusamashah | 2025-07-03 18:37:17+00:00
The original grain that is captured is actually a detail and not total random noise. I believe you can make up the vague sense of original scene if you could somehow extract that grain/noise alone.

It's like reducing an image to tiny dots with dithering (reminds of Atinkson dithering). Those grains are not a noise, they are a detail, actual data. That's why real grain looks good IMO.