MurphyA/hacker-news huggingface dataset:
by gloosx | 2025-05-20 19:47:36+00:00
>>models create, empowering artists to bring their creative vision

Interesting logic the new era brings: something else creates, and you only "bring your vision to life", but what it means is left for readers questioning, your "vision" here is your text prompt?

Were at a crossroads where the tools are powerful enough to make the process optional.

That raises uncomfortable questions: if you don’t have to create anymore, will people still value the journey? Will vision alone be enough? What's the creative purpose in life? To create, or to to bring creative vision to life? Isn't the act of creation is being subtly redefined?
by julianpye | 2025-05-20 19:48:40+00:00
An indie film with poor production values, even bad acting can grip you, make you laugh and make you cry. The consistency of quality is key - even if it is poor. The directing is the red thread throughout the scenes. Anything with different quality levels interrupts your flow and breaks your experience. The problem with AI video content at this stage is that the clips are very good 'in themselves', just as LLM results are, but putting them together to let you engage beyond an individual clip will not be possible for a long time. It will work where the red thread is in the audio (e.g. a title sequence) and you put some clips together to support the thread. But Hollywood has nothing to fear at this stage. In addition, remember that visual artists are control freaks of the purest kind. Film is still used because of the grain, not despite it. 24p prevails.
Remotion introduces a Media Parser
by KnowYourCode | 2025-05-20 19:49:56+00:00
Typically, video operations like trimming, cropping, and converting are server-side tasks. However, browsers possess the necessary APIs for comparable performance.

The challenge lies in preparing video data for browser-based decoding, requiring separate implementations for various video container formats. Media Parser addresses this by handling the necessary data preparation.

Remotion Media Parser is a multimedia library designed for JavaScript and the WebCodecs API, with the goal of providing an intuitive experience for web developers.

A demo showcases offline video conversion leveraging local hardware capabilities via WebCodecs: https://remotion.dev/convert

More details: https://mediaparser.dev
by dgunay | 2025-05-20 19:49:59+00:00
At the current capabilities of most LLMs + my personal tolerance for slop, the most productive workflow seems to be: spin up multiple agents in the background to work on small scope, straightforward tasks while I work on something bigger that requires more exploration, requirements gathering, or just plain more complex/broad changes to the code. Review the output of the agents or unstick them when there is downtime.

IMO just keeping an IDE window open and babysitting an agent while it works is less productive than just writing the code mostly yourself with AI assistance in the form of autocomplete and maybe highly targeted oneshots using manual context provided "Edit" mode or inline prompting.

My company is dragging their feet on AI governance and let the OpenAI key I was using expire, and what I noticed was that my output of small QoL PRs and bugfixes dropped drastically because my attention remains focused on higher impact work.
by Ancapistani | 2025-05-20 19:50:30+00:00
> But to your example, doesn't the coffee shop have a totally legal camera up providing CCTV [...]

Of course, but that wasn't what I was pointing out. I was trying to say that the attitude for wearable recording devices has changed a great deal. Google Glass was extremely obvious; RayBan Metas usually go completely unnoticed.

I doubt anyone had ever brought Google Glass into that coffee shop - and as you pointed out, recording was already taking place anyhow. My point is that society has gone from a place where a bulky, obvious camera on a pair of glasses caused a small-scale societal panic to a place where people walk around with cameras and microphones intended to record the public and no one seems to care enough to even bring it up.

That's a huge shift in only a decade.

> The populace (me included) who absorb media at any rate had this idea in their head that people with cameras on their faces are potentially weirdos, because "FANG bad".

I thought so, too - but it turns out the populace only cares about virtue signaling about it. If the device isn't obvious, there's no pushback even when the people know without a doubt that it's present.
by jozefbalaz | 2025-05-20 19:50:39+00:00
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by CM30 | 2025-05-20 19:50:43+00:00
Well, the internet in general has a very strong anti-AI sentiment to be honest. If you even say anything positive about it on most social media sites (Twitter, Reddit, BlueSky, Mastodon, Threads, Instagram, etc) a large percentage of the audience will all but call for you to be burnt at the stake. In a sense, Hacker News is barely any different from the rest of the internet there.

The reactions basically seem to range from "AI is useless because it's inaccurate/can't do this" to "AI is evil because of how it takes jobs from humans, and should never have been invented".

Still, the former is probably the bigger reason here in particular. LLMs can be useful if you're working within very, very general domains with a ton of source material (like say, React programming), but they're usually not as good as a standard solution to the issue would be, especially when said issue isn't as set in stone as programming might be. So most of these solutions just come across as a worse way to solve an already solved problem, except with AI added as a buzzword.
by lxgr | 2025-05-20 19:50:49+00:00
Same here.

I've also seemingly hit a rate limit on Gemini Pro 2.5 (on an account not subscribed to Gemini Advanced) yesterday, even though my last query is weeks past.

Possibly there's a capacity shortage (I'd presume it all runs on the same Google hardware in the end), and they are prioritizing paid inference?
by netsharc | 2025-05-20 19:50:53+00:00
Heh, although I'm a cheapskate, the ad-based world is a fucked up one. We now have an attention-economy, trying to keep you hooked on the content so "the platform" can serve you ads and earn money off you. And they do that by serving content that engages you, and apparently it's content that stirs up a lot of emotions.

"Worried about refugees? Here's some videos about refugees being terrible". Replace "refugee" with "people celebrating Genocide", etc, etc...
by aylmao | 2025-05-20 19:51:08+00:00
I can't decide how I feel about Google's design for this looking so Apple-y.

Didn't they just release Material Design Expressive a few days ago [1]? Instead of bold shapes, bold fonts and solid colors it gradients, simple lines, frosted glass, and a single, clean, sans-serif font here. The bento-box slides look quite Apple-y too [2]. Switch the Google Sans for SF Pro, pull back on the border radius a bit, and you've essentially got the Apple look. It does look great though.

[1]: https://news.ycombinator.com/item?id=43975352

[2]: https://blog.google/products/gemini/gemini-app-updates-io-20...
by sillyfluke | 2025-05-20 19:52:02+00:00
What's amusing about your comment is that Musk is on video doing a literal "my heart goes out to you" gesture in an older press event recording where he does not in fact give a nazi salute but instead does a heart shape with both his hands and extends it outward from his chest, showing that he's informed about the accepted version of that gesture.

And you may be misinformed of the context as well. He did the nazi salute because him and Vivek were being raked over the coals for their H1-B stance by the Bannon wing of MAGA and his bruised ego was clearly throwing a bone to the base of that wing to get into their good graces again.
by jeffbee | 2025-05-20 19:52:19+00:00
> used to be the case for specialist software

I think that's a great example of how a competitive market drives these costs to zero. When solid modeling software was new Pro/ENGINEER cost ~$100k/year. Today the much more capable PTC Creo costs $3-$30k depending on the features you want and SOLIDWORKS has full features down to $220/month or $10/month for non-professionals.
by rhdjsjebshjffn | 2025-05-20 19:52:45+00:00
I can't speak for anyone else, but these models only seem about as smart as google search, with enormous variability. I can't say I've ever had an interaction with a chatbot that's anything redolent of interaction with intelligence.

Now would I take AI as a trivia partner? Absolutely. But that's not really the same as what I look for in "smart" humans.
by srean | 2025-05-20 19:53:14+00:00
LOL the very first line of your own link

(that now you seem to have deleted after my comment https://en.m.wikipedia.org/wiki/Topology_(disambiguation) )

"Topology is a branch of mathematics concerned with geometric properties preserved under continuous deformation (stretching without tearing or gluing)"

That is indeed the established meaning of topology, more so in mathematics and the blog post was on applied mathematics. That it may mean something else in other contexts is irrelevant.

I rest my case.

> The most common uses of "topology", whenever used to convey a geometry-related idea, is in the more general sense meaning "surfaces"

Erm, citation please.

I included a search on Amazon on topology https://www.amazon.com/s?k=Topology&sprefix=topology+%2Caps%... (without even adding the keyword maths. None of the results seem to be about surfaces. Shouldn't there have been a few ? Wouldn't Amazon search results reflect the general sense meaning ?).

If it were true, wouldn't the Wikipedia pages have talked about that general sense meaning first ?

Alternatively, I would say, take a breath. Is this hill really the one worth dying on ? There are better ones. Have a good day and if work permits, get yourself a juicy topology book, it can be interesting, if presented well.
by neilwilson | 2025-05-20 19:54:10+00:00
Don’t confuse desire with demand. Economic demand is desire coupled with the ability to pay.

Nothing to do with dollars. The system is limited by world income.

China is not going to send anything to people who can’t pay. Otherwise they’d continue shipping to the US for absolutely nothing in return rather than the vague promise they are currently taking

And if they can pay then supply will already have expanded to service them.
by atiedebee | 2025-05-20 19:54:23+00:00
Kakoune has been my main editor for the past year (give or take) and uses an array of lines [0]. Ironically, multi-cursor and regex are some of the main features that made it attractive to me.

I just tested it out on the 100MB enwik8 file I have laying around and it does slow down significantly (took 4-5 seconds to load in the file and has a 1 second delay on changing a line). But that is not really the type of file you would be opening with your main editor.

[0]: https://github.com/mawww/kakoune/blob/2d8c0b8bf0d7d18218d4c9...
by agentcoops | 2025-05-20 19:54:29+00:00
1000%. It's really hard to express this to non-engineers who never wasted years of their life trying to work with n-grams and NLTK (even topic models) to make sense of textual data... Projects I dreamed of circa 2012 are now completely trivial. If you do have that comparison ready-at-hand, the problem of understanding what this mind-blowing leap means, to which end I find writing like the OP helpful, is so fascinating and something completely different than complaining that it's a "black box."

I've expressed this on here before, but it feels like the everyday reception of LLMs has been so damaged by the general public having just gotten a basic grasp on the existence of machine learning.
by nolist_policy | 2025-05-20 19:54:29+00:00
You can try it on Android right now:

Download the Edge Gallery apk from github: https://github.com/google-ai-edge/gallery/releases/tag/1.0.0

Download one of the .task files from huggingface: https://huggingface.co/collections/google/gemma-3n-preview-6...

Import the .task file in Edge Gallery with the + bottom right.

You can take pictures right from the app. The model is indeed pretty fast.
What did we do at OpenTools.Ai to Double Down on Growth?
by Yacobin | 2025-05-20 19:54:45+00:00
When I joined OpenTools 9 months ago, our AI Daily newsletter was sitting at just over 50,000 subscribers. We were still figuring out how everything worked: testing headlines, tweaking sends, understanding what resonated with a very smart, very curious audience.

Fast forward to today: we’ve just crossed 90,000 subscribers.

What changed?

- We dialled in the right growth levers.

- Our team aligned on what mattered most: audience value.

- Reader engagement shot up.

- And most importantly, we kept showing up with useful, thoughtful content in a noisy AI space.

As someone who’s worked in varying hot topic industries, I’ve rarely seen something click like this. We’re building more than just a newsletter, we’re creating an ecosystem where AI builders and users actually connect in meaningful ways.

A huge thank you to our advertisers as well. The trust you’ve placed in us and the results we’ve helped deliver through high-quality, high-intent audience engagement mean everything.

The snowball is rolling. And it’s only picking up speed.

Thanks to the team, the readers, and the brilliant minds shaping the AI tools we write about every day.

Let’s keep going.
by verdverm | 2025-05-20 19:57:56+00:00
They are all projects that distribute Go binaries on GitHub and have official homebrew taps

The 2/3 that are on nix are both out of date and created by some outside party.

I do not see a world where I provide nix stuff for my projects. There are already too many packages managers and I'm not spending my unpaid time to support all of them. GitHub and brew are my limit, def not learning nix just for this
by ankit219 | 2025-05-20 19:58:06+00:00
This is very cool.

One question I have in these orchestration based multi agent systems is the out of domain generalization. Biotech and Pharma is one domain where not all the latest research is out there in public domain (hence big labs havent trained models on it). Then, there are many failed approaches (internal to each lab + tribal knowledge) which would not be known to the world outside. In both these cases, any model or system would struggle to get accuracy (because the model is guessing on things it has no knowledge of). In context learning can work but it's a hit and miss with larger contexts. And it's a workflow + output where errors are not immediately obvious like coding agents. I am curious as to what extent do you see this helping a scientist? Put another way, do you see this as a co-researcher where a person can brainstorm with (which they currently do with chatgpt) or do you expect a higher involvement in their day to day workflow? Sorry if this question is too direct.
by ajanicij | 2025-05-20 19:58:07+00:00
This sounds cool! I have to say I've been looking for a CMS like this, never having found the time to write one. It ticks all the right boxes: simple, open source, uses Markdown so many years from now it will still be usable the same way. Last but now least, Git-backed blog. Can't wait to try it out.
by teekert | 2025-05-20 19:58:47+00:00
“As I wrote about in Walking and talking with AI in the woods, ideally I'd like to start my morning in an office, launch a bunch of tasks, get some planning out of the way, and then step out for a long walk in nature.”

Wouldn’t we all want that, but it sounds like you can leave task launching and planning to an AI and go find another career.
by hammock | 2025-05-20 19:59:02+00:00
As much as we don’t want to think or talk about it, the gene pool has changed over time and it shows up in faces.

Not to mention diet, environment etc that also takes different tolls on our faces depending on the period.

By that logic there is such a thing as someone who looks like they lived in a different time, and would be rare to see today (and vice versa).
by muditjai | 2025-05-20 19:59:19+00:00
Thanks for organizing and running this conference! Do you know how long will it take for talks to be uploaded on youtube?

I was checking for last year's (2024) videos and it seems they were added in the last 8 to 3 months, so about a 4 to 9 month delay. Wondering if it will be similar delay for 2025 conference?
by jacobgorm | 2025-05-20 19:59:22+00:00
I remember sitting next to David Rosenthal at a conference reception (must have been FAST, which makes sense given his involvement with LOCKSS) in San Jose some time around 2010 or 2011, not knowing up front who he was. He explained some of the innovations he had made at NVIDIA around making the hardware more modular and easier for parallel teams to work on, and we chatted about the rumors I had heard about SUN thinking about licensing the Amiga hardware, which he confirmed but said would have been a bad idea, because the hardware didn't support address space protection. I guess I didn't know enough about him or NVIDIA to be sufficiently impressed at the time, but he was a very friendly and down to earth person.
by reuben364 | 2025-05-20 19:59:32+00:00
I just wrote redef to emphasize that I'm not shadowing the original definition.

def a := 1 def f x := a * x -- at this point f 1 evaluates to 1 redef a := 2 -- at this point f 1 evaluates to 2

But with dependent types, types can depend on prior values (in the previous example the type of x depends on the value t in the most direct way possible, as the type of x is t). If you redefine values, the subsequent definitions may not type-check anymore.
by 90s_dev | 2025-05-20 20:00:32+00:00
You might also be interested in Picotron[1], made by the same guy who made Pico8. It's basically a desktop OS with the same basic design as Pico8 but with slightly looser restrictions. I've never really tried it, only looked at his gifs once a long time ago, but I think he and I had the same basic idea: make a platform that you could make pico8 in. We just went different routes.

[1] https://www.lexaloffle.com/picotron.php
by rayiner | 2025-05-20 20:01:23+00:00
Imports from China were under $20 billion in 1990. At that time, the majority of clothing was still made in the U.S.! My wife’s dad worked as a forklift operator at a Heinz factory in the early 1990s. His job disappeared shortly after NAFTA. The extreme reliance on foreign-made goods happened within the lifetime of millennials. It’s not some inexorable fact about America.
by lupusreal | 2025-05-20 20:01:26+00:00
That is what people seem to believe, coherent or not. I think you will find few Christians who believe their god is just some sort of mechanism to be commanded as they please.

If you want to persuade them to believe otherwise, then you have to come up with arguments which are actually persuasive from their perspective. This is a problem I see with a lot of smug atheist literature. It's also a problem I see with all the arguments from Christians about why I shouldn't be an atheist. I guess I seem approachable to them, I get a lot of well meant but totally fruitless conversion attempts. They are arguments which doubtlessly seem very sound to them, one who already believes, but totally fall flat to me, somebody who doesn't. Like telling me how many different people claimed to witness Jesus resurrection... that seems like compelling evidence if you already believe that the bible is reliable. Christians tell each other these arguments at Church, find it very convincing because they are already convinced and find it hard to imagine the frame of mind of somebody who doesn't believe, then with great earnestness present these arguments to nonbelievers and are puzzled when it doesn't work.

Well that's exactly what's going to happen when you confront most Christians with "Your god isn't real because he doesn't do as you command him to with your prayers." Prayer failing any empirical test of efficacy is convincing evidence to people who already don't believe but totally falls flat with people who do.
by atombender | 2025-05-20 20:01:29+00:00
You might enjoy the photos of Sergei Mikhailovich Prokudin-Gorski [1]. His photos were taken in the 1800s using an early colour photography technique. Many of them look as if they were taken today.

Aside from being black and white, photos tend to look old because of hairstyles and clothing. The "time traveling hipster" [2] is a good example of someone in an old photo creating dissonance by not conforming to expectations

[1] https://www.google.com/search?tbm=isch&as_q=Sergei+Mikhailov...

[2] https://www.reddit.com/r/timetravelercaught/comments/e82116/...
by TeMPOraL | 2025-05-20 20:02:29+00:00
Yes, I do. Any way you slice this term, it looks close to what ML models are learning through training.

I'd go as far as saying LLMs are meaning made incarnate - that huge tensor of floats represents a stupidly high-dimensional latent space, which encodes semantic similarity of every token, and combinations of tokens (up to a limit). That's as close as reifying the meaning of "meaning" itself as we ever come.

(It's funny that we got there through brute force instead of developing philosophy, and it's also nice that we get a computational artifact out of it that we can poke and study, instead of incomprehensible and mostly bogus theories.)
by riknos314 | 2025-05-20 20:02:43+00:00
> if possible disable encryption, then you can profit from not only timing pattern (of white noise), but also listen in on the plaintext payload. the NSA loves plaintext.

Haha, incredible.

On a more serious note this is a really cool idea. Would be interesting to listen to the same origin traffic in different network conditions to hear things like TCP rate control.
by hn_acker | 2025-05-20 20:03:08+00:00
Considering that the DHS is scanning prospective immigrants' social media to use antisemitism as grounds for denying admission [1], it's strange that the DHS would play dumb about Charl Kleinhaus's history of antisemitic social media posts [2]. The DHS could both acknowledge the policy contradiction and explain why Kleinhaus fits the refugee policy. (Let me be clear. The DHS is violating the First Amendment rights of immigration seekers with its policy of using social media posts to deny admission.)

[1] https://news.ycombinator.com/item?id=43710801

[2] https://www.theguardian.com/us-news/2025/may/15/south-africa...
by zhivota | 2025-05-20 20:03:37+00:00
Ok so I have Google One AI or whatever the previous version of this is called, and what's wild to me is that in Google Sheets, if I ask it to do anything, literally anything, it says it can't do it. The only thing it can do is read a sheet's data and talk about it. It can't help you form formulas, add data to the sheet, organize things, anything, as far as I've seen.

How does Google have the best models according to benchmarks but it can't do anything useful with them? Sheets with AI assist on things like pivot tables would be absolutely incredible.