MurphyA/hacker-news huggingface dataset:
by gabrielhidasy | 2025-06-17 19:19:05+00:00
> However, perhaps are you talking about an image on JPEG XL, using features only in JPEG XL (24 bit, HDR, etc...) that obviously couldn't be converted in a lossless way to a JPEG.

So he was not wrong about this. You have perfect JPEG -> JPEG XL conversion, but not the other way around.
by frollogaston | 2025-06-17 19:19:49+00:00
Supposedly an average American throws away 1800lb per year, 46lb of which is ewaste, but that includes TVs and such. I can get upset about TV ewaste because those "smart" features are self-destructing otherwise good ones, and they're big. I had a new 70" Vizio TV get stuck in a permanent bootloop after 2.5 years.
by potholereseller | 2025-06-17 19:20:00+00:00
The other commenter mentioned "narrative", which is very relevant, because that is an important part of simulation (and your username)

Baudrilliard was careful to point out that simulation isn't a matter of fabrication; to simulate is to obscure the absence of facts, not to create false facts. A simulacrum is a symbol that obscures the fact that it refers to nothing; whereas a symbol, in centuries past, invariably referred to something, real or imagined. The resulting reality (or maybe "mindspace"?) is a construct on top of the real world -- a hyper-reality -- in which every symbol is a simulacrum; the only thing real in hyper-reality is that the symbols hide the absence of facts. This is why, again as the other commenter mentions, we appear to live in a post-truth society; we are fully living in hyper-reality.

>Bad Journalism

The guy who created the Pullitzer prize also co-invented Yellow Journalism.[0][1] There is neither good journalism or bad journalism; it's all simulation.

[0] https://en.wikipedia.org/wiki/Joseph_Pulitzer#Pulitzer_Prize

[1] https://en.wikipedia.org/wiki/Yellow_journalism#Origins:_Pul...
by reify | 2025-06-17 19:20:24+00:00
Not only does this plastic vegetable food come with reduced Saturated Fat.

But also, even better and substantially healthier, they have reduced methyl cellulose.

The E number of methyl cellulose as food additive is E461

Like cellulose, it is not digestible, non-toxic, and not an allergen.

Methyl cellulose does not occur naturally and is synthetically produced by heating cellulose with a caustic solution.

Methyl cellulose is occasionally added to hair shampoos, tooth pastes and liquid soaps, to generate their characteristic thick consistency.

In addition to culinary uses, it is used in arts and crafts such as papier-mâché and is often the main ingredient of wallpaper paste.

definitey need to go to the chemist and get some of this stuff.

dont think I want to try some chemically, plastic, fake, thats designed to look like meat, shite.

redefined!
by ls-a | 2025-06-17 19:20:49+00:00
I knew a manager that used AI to assign deadlines for tasks. As a result each task had a maximum of 1 day estimate. When you argued with them they'd say it's easy, just do this and this, which was also a breakdown generated by AI. The manager did this from a boat on some island in the far east. Higher up managers thought it was cool.
by wvh | 2025-06-17 19:20:51+00:00
I got divorced last year, had a rough period, watched some self-help videos, Youtube found out and started increasingly serving unwanted content. I did not appreciate the attempt at pushing my proverbial buttons. I do not need gender war content when I look for a guitar review. Youtube is excellent and has replaced television for me the last 10 years. But I just don't trust or want an algorithm trying to hook me, and I'm generally already old and wise enough to unplug when I need to. To me, this goes a bit beyond being choosy. I don't want to be profiled.
by PaulHoule | 2025-06-17 19:21:49+00:00
I've done a few shootouts at various times in the last 10 years. I finally decided WebP was good for the web maybe two years ago, that is, I have 'set it or forget it' settings and get a good quality/size result consistently. (JPEG has the problem that you really need to turn the knob yourself since a quality level good for one image may not be good for another one)

I don't like AVIF, at least not for photos I want to share. I think AVIF is great for "a huge splash image for a web page that nobody is going to look at closely" but if you want something that looks like a pro photo I don't think it's better than WebP. People point out this example as "AVIF is great"

https://jakearchibald.com/2020/avif-has-landed/demos/compare...

but I think it badly mangles the reflection on the left wing of the car and... it's those reflections that make sports cars look sexy. (I'll grant that the 'acceptable' JPEG has obvious artifacts whereas the 'acceptable' AVIF replaced a sexy reflection with a plausible but slighly dull replacement)
by johnisgood | 2025-06-17 19:21:55+00:00
> both []byte slices, which are not safe for concurrent r/w access

You must clone the slice on both write and read, right?

I get that cloning incurs a memory allocation and a copy operation, but this is the price for safety when concurrent access is possible or your data may be bodified outside your structure.

You could probably intern immutable keys, or avoid storing if keys already exist and are immutable, or use an object pool (like sync.Pool) to reduce allocations if this happens at scale. Anything else I am missing?
by msgodel | 2025-06-17 19:22:13+00:00
I used to be on Reddit a lot when I was a teenager. I remember during a state election I was certain this libertarian representative/delegate would win, he was so popular on Reddit!

I don't think he got even 5% of the vote. The voting on Reddit combined with a number of other features of the site just give you this really twisted idea of the way people around you think. I don't think it's good to even visit it.
by jauntywundrkind | 2025-06-17 19:22:21+00:00
Faster small matrix, for AI. Yup, that seems like good fit for what folks want.

Supercharging the Local Data Share (LDS) that's shared by threads is really cool to hear about. 64 -> 160KB size. Writes into LDS go from 32B max to 128B, increasing throughout. Transposes, to help get the data in the right shape for its next use.

Really really curious to see what the UDNA unified next gen architectures look like, if they really stick to merging Compute and Radeon CDNA and RDNA, as promised. If consumers end up getting multi-die compute solutions that would be neat & also intimidatingly hard (lots of energy spent keeping bits in sync across cores/coherency). After Navi 4X ended up having its flagship cancelled way back now, been wondering. I sort of expect that this won't scale as nicely as Epyc being a bunch of Ryzen dies. https://wccftech.com/amd-enthusiast-radeon-rx-8000-gpus-alle...
by JumpCrisscross | 2025-06-17 19:22:29+00:00
Don't get me wrong, Tesla's FSD is way cooler. It feels more futuristic, takes more risks and has more-entertaining animations on the display. But it also drives like a 16-year old on PCP, which means I never quite trust it. Mercedes, on the other hand, built something that I can get into and intuitively trust. That's impressive in a different way from the roller-coaster approach, and I'd argue in a more useful way when it comes to cars, but it's really a distinction between what one values in the driving experience. (I'm pretty meh when it comes to driving. As evidenced by my owning a Subaru. All that said, Waymos are the only one I've taken a nap in and I believe that will be true for a long time.)
by CorrectHorseBat | 2025-06-17 19:22:40+00:00
Yes, JPG to JPEG XL and back is lossless, but the reverse is nowhere mentioned.

Trying around with some jpg and jxl files I cannot convert jxl losslessly to jpg files even if they are only 8bit. The jxl files transcoded from jpg files show "JPEG bitstream reconstruction data available" with jxlinfo, so I think some extra metadata is stored when going from jpg to jxl to make the lossless transcoding possible. I can imagine not supporting the reverse (which is pretty useless anyway) allowed for more optimizations.
by gpm | 2025-06-17 19:22:56+00:00
There's definitely a mens rea requirement here, that you know that a crime is being committed and that you intend to facilitate it. I doubt it requires particularized knowledge that "this specific request" is for a crime... I'm still not a lawyer.

Running a service primarily for legal purposes that some criminals can take advantage of is pretty different with regards to intent than reviving an old domain name that you know is primarily used by old illegal torrents as a tracker.

I spent a few minutes googling, and it seems like that at least as of a decade ago the exact bounds here weren't well defined: https://www.scotusblog.com/2014/03/opinion-analysis-justice-...

> Finally, the possible liability for an “incidental facilitator” – such as a firearms dealer who knows that some customers will use their purchases for crime – is noted but not resolved. Thus, thankfully, there is still some fertile ground for hypotheticals with which we practicing law professors can bedevil our students.
by blacksmith_tb | 2025-06-17 19:23:10+00:00
My assumption is some designer chose the three horizontal lines to suggest a list of choices. Later, for some tiny space where lines didn't fit well, they were crushed into three dots stacked vertically (which also sort of suggests an ellipsis tipped on its side?) Why we decided to use food metaphors... well, who isn't thinking about what's for lunch?
by spmurrayzzz | 2025-06-17 19:23:15+00:00
We're a G-suite shop so I set aside a ton of time trying to get 2.5 pro to work for us. I'm not entirely unhappy with it, its a highly capable model, but the long context implosion significantly limits it for the majority of task domains.

We have long context evals using internal data that are leveraged for this (modeled after longproc specifically) and the performance across the board is pretty bad. Task-wise for us, it's about as real world as it gets, using production data. Summarization, Q&A, coding, reasoning, etc.

But I think this is where the in-distribution vs out-of-distribution distinction really carries weight. If the model has seen more instances of your token sequences in training and thus has more stable semantic representations of them in latent space, it would make sense that it would perform better on average.

In my case, the public evals align very closely with performance on internal enterprise data. They both tank pretty hard. Notably, this is true for all models after a certain context cliff. The flagship frontier models predictably do the best.
by yababa_y | 2025-06-17 19:23:24+00:00
from my experience washing some mediocre amphetamine cooks,

the fishy smell is not characteristic of pure amphetamine, but leftover methylamines from synthesis.

vyvanse adds a lysine but none of these amines are free. it’s odorless as well, but any lysine esthers leftover will stank.

it was shit product
by tuckerman | 2025-06-17 19:23:40+00:00
You could argue its not necessary to achieve performance for an L2+ product and so keeps BOM cost down while still achieving goals. I'm not personally opposed though, the systems I worked on did have other sensors we could use.

That wouldn't resolve the concern around debugging/root-causing and remediating failures more quickly though. You still have a black box system that is difficult to simulate closed loop.
by jfengel | 2025-06-17 19:23:46+00:00
The case I have in mind: cleaning hotel rooms. Build me a robot that can clean the toilet, change the sheets, replace the soap, check the mini-fridge, and do it all without breaking people's stuff scattered around the room.

This is minimum-wage work which probably costs you $30,000 a year (including taxes, benefits, etc.) A $100,000 robot would replace that cost in just over three years -- one year, if it could work 24 hours a day instead of 8.

That seems a huge ask. The tasks are all simple, but currently require AI-complete levels of perception, especially if combined into one machine. I doubt that a specialized robot -- or a series of them -- is likely to be cost-effective. Currently, they don't even use roombas.
by jrgoff | 2025-06-17 19:24:33+00:00
This comment reminds me of my own socially anxious belief that I am boring, that people don't want to hear what I have to say, etc. And I have had plenty of evidence to reinforce those beliefs. As I have been working through things in therapy though, I have realized that my wounded mind grabs on to those things that reinforce that negative belief and tends to be dismissive of things that would contradict it. I've also realized that because I have those fears/wounds I often interact with people in ways that are more likely to elicit disinterested responses - I often have a flat affect and emote little, display no enthusiasm when communicating about things that I care about because I expect that the other person won't be interested or care. I wouldn't be surprised if I subconsciously have chosen friends who re-inforce those beliefs as well, I think I sometimes feel uncomfortable when people do respond enthusiastically toward me.

Some of my early experiences as an adult that broke my heart open a little were also with children - I don't have any of my own, but when my nephew and niece were young they were so open and enthusiastic and happy to see me it got past my wounded defense mechanisms.
by srj | 2025-06-17 19:25:11+00:00
As an austinite I'm nervous about these things. My son and his classmates play along the street and I'm 90% sure I saw one of these driving by our house last week, presumably for testing. The street is legally at a higher speed than most people will drive because there's a lot of activity and no sidewalks which I'm about to argue for changing. Normal people will slow when they see kids around but autonomous cars still drive their normal speed.
by illiac786 | 2025-06-17 19:25:24+00:00
That’s why I am confident LLMs won’t change as much as some may think: after 20+ years of search engines, some still can’t be bothered to do a simple search. (Either that or you’re trolling, I can’t decide I have to say.) Hence, we can wait another 20 years and some will still not use LLMs for everyday questions.

To answer your (false?) question, there’s a long list of benefits, but I’d say HDR and storage efficiency are the two big ones I can think of. The storage efficiency especially is massive, especially with large images.
by msgodel | 2025-06-17 19:25:24+00:00
Who cares? Run the DE you like. I don't want to be forced to run the one you like since, quite frankly, being someone new to this you're going to have awful opinions about how it should work.

If you sat down in front of my computer you probably wouldn't even know how to move the windows around.

And that's fine. We don't need to be running the same software as long as everything actually works.
by shmerl | 2025-06-17 19:26:06+00:00
> What I don't like is ANY, I repeat ANY software solution that champions mediocrity.

Then it should be proven that proposed alternative to Wayland is not mediocre or worse in issues Wayland is solving. Overall the post looks very shortsighted in looking at these issues from very narrow perspective, seemingly not realizing problems that need solving are much wider and not limited to one use case.

Wayland surely is not perfect and needs development (which lately seems to be moving at better pace), but I'm not convinced at all proposed alternative is better.
by dekhn | 2025-06-17 19:26:10+00:00
The point of wayland was that the developers of X11 with the greatest experience concluded they no longer wanted to work on Xorg, and designed a new protocol taking into account their experience as well as knowledge of how desktops have changed over the past 40 years.

If there is enshittification, it's intentional on the part of the developers, and I doubt they think it's enshittification so much as sage design choices made designing an architecture they think will eventually run on billions of devices.
by ryandrake | 2025-06-17 19:26:54+00:00
MP3 is still "good enough." I wasn't smart enough to keep FLACs around, and I'm not going to go back through my hundreds of CDs in boxes in my attic somewhere and re-encode every single one to a "modern" format for slight but noticeable quality gains. As you say, they also work everywhere, including my 16 year old car.
by ednite | 2025-06-17 19:26:54+00:00
Interesting piece. The author frames something I’ve come to believe that discovery shouldn’t be about polished pitches, it should be about authenticity, and honestly sharing your experience.

While the article focuses on finding collaborators, I think the same principle applies to finding subscribers or early users, and I’m living that right now.

When I recently started growing my blog, I fell into the trap of loud self-promotion: showcasing myself, posting everywhere, and pushing content into people’s feeds. It felt aimless.

Eventually, I stopped guessing what people might want and returned to what I actually care about, documenting the bumps and breakthroughs of my journey, hoping others on a similar path might resonate.

For some strange reason, I ignored the same philosophy I follow when building software: always start with the problem, not the solution.

Since, I’ve applied that mindset to my writing too.

Instead of chasing growth hacks, I focus on what I’m actually learning, the wins, the failures, and the questions I’m tussling with.

People who care tend to find their way in. No pitching is required. In software, I listen to real user pain points. With my blog, I am the user, writing through my own wins and failures, hoping others facing similar challenges find value in the process.

What I’ve learned is that it’s not about clever headlines or viral tricks. It’s about sharing honest, useful insights that speak to real problems.

Start small. Solve something meaningful. Let that earn attention naturally.

This idea of being understood, not promoted is something I’m exploring further in an upcoming blog post. (Not trying to plug, just context, wrapped in self-promotion guilt)

Curious to hear from others about a similar approach.

thanks for reading.
by bachmeier | 2025-06-17 19:26:59+00:00
> Starting today, if you’ve turned on fediverse sharing in Threads, there will be a new section at the top of your Following feed that takes you to a list of posts from folks you follow on Mastodon, Flipboard, or wherever else you’ve connected your Threads account.

Oh, so not real important. I follow some Threads accounts on Mastodon, but very few have clicked the button to enable that. I've even asked professional organizations to do that and they refused. Mark Cuban complains on Bluesky about their dwindling user base, but he refuses to bridge his account.
by bluefirebrand | 2025-06-17 19:27:33+00:00
> There comes a point where you have to do so much work just to get a good output, that LLMs cease to be more productive than just writing something out yourself.

I think this gets to the core of the problem with LLM workflows and why there are so many disagreements about effectiveness

Maybe I overestimate my skills or underestimate how long things would take, but I am constantly feeling like when I try to use AI it takes more time, not less

My suspicion is that if you could create a second version of me, give one copy of them an LLM and one copy solves the problem normally, this would be the case

But many people love these tools and feel more productive, so what gives? The problem it is impossible to really measure because we don't have convenient parallel universe clones to test against. It's all just vibes and made up numbers
by johnisgood | 2025-06-17 19:28:37+00:00
I use stock Android, and all of the apps I am using are from F-Droid, I do not use Google's apps. I have them uninstalled.

Many of the apps I am using (Gallery, Dialer, Contacts, Camera) are from https://simplemobiletools.com. Source code: https://github.com/SimpleMobileTools. Its Gallery looks similar to Fossify's. Its "About" seems almost identical, so I dunno.
by tech_ken | 2025-06-17 19:29:13+00:00
> does it mean that the average ride length is 1.8km? that seems kinda low..., like that's something I would walk if I didn't hurry..

Like 95% of the US is setup to actively discourage walking. As a result the average USian thinks walking to your destination is fundamentally undignified or at best an act of desperation (outside of a few particular circumstances such as being on a college campus or at Disney World). I have once seen a friend (of a friend) call an Uber for a .3km trip (~2.5 city blocks, longwise).
by Kye | 2025-06-17 19:29:24+00:00
>> "Despite the other comments, the landing spot is clearly the same as where it took off."

Nope.

https://global.honda/en/topics/2025/c_2025-06-17ceng/image_d...

Video three and four clearly show it lands a little bit away from the risers. Same pad, but only 1/2 comments--not mine--suggested it was a different pad.
by sethkim | 2025-06-17 19:29:38+00:00
I run a batch inference/LLM data processing service and we do a lot of work around cost and performance profiling of (open-weight) models.

One odd disconnect that still exists in LLM pricing is the fact that providers charge linearly with respect to token consumption, but costs are actually quadratic with an increase in sequence length.

At this point, since a lot of models have converged around the same model architecture, inference algorithms, and hardware - the chosen costs are likely due to a historical, statistical analysis of the shape of customer requests. In other words, I'm not surprised to see costs increase as providers gather more data about real-world user consumption patterns.
by lesuorac | 2025-06-17 19:29:51+00:00
But none of that has to do with a president's own qualified immunity.

ICE isn't inheriting the president's qualified immunity; they have it because they're government employees. It doesn't matter if they're acting in the presidents interests or not and for state employees if they're acting in the governors interests or not.

Pardon is a very clearly enumerated power of the president so any usage of it is very clearly legal (although typically undesirable).
by zzo38computer | 2025-06-17 19:29:56+00:00
I think adding on to POSIX is not the way to do it though.

My model would be: For a program to access the internet, it must be given a capability (possibly in the initial message, but could also be in a different message), which it can communicate with in order to access the internet. The receiver can't know what capability it is (although it can request a specific capability in the type signature), so it might connect directly or it might use a proxy or simulate slow speeds or error conditions.
by bediger4000 | 2025-06-17 19:29:58+00:00
How do I find out if some pale imitation of me is one of these 2000 personas? If it is, I'd like to see how it votes in the simulations.

The line about how "chief marketing researchers" would use AI if its success rate was 70% or up is telling. No wonder marketeers have such a bad reputation - they're happy to be wrong 25-30% of the time and they don't care why.
by indrora | 2025-06-17 19:30:43+00:00
Most of the professional tier CAD suites do it as well.

It's one of the Quirks^tm of that field. Newcomers to the field go "WTF??" but the old hats go "yeah and you'll learn to appreciate it."

And you do learn to appreciate it. the cursor warping in KiCad is absolutely essential to high level operation because it means you don't think where you're zooomed to now, you point, you zoom, you've zoomed. Once you get used to some of the keyboard shortcuts to fly around the board, you get used to focusing on the center of the display rather than having to eye around looking for the component, which might be buried in a few layers of traces and vias on-screen.