MurphyA/hacker-news huggingface dataset:
by Waterluvian | 2025-10-19 03:16:37+00:00
The powered wig is the must-have ubiquitous tech device that everyone has in 2057. It’s our version of your era’s smartphone. It is an AI-powered neural interface used to communicate with people, get the latest news, watch some vids, or even check your emails, if you still do that.

It’s essentially the “killer app” for AI, taking a good 21 years for the tech industry to figure it out. Don’t ask about the form factor, that’s a long story. But I promise it looks less silly when everyone’s wearing one.

Oh, and a little tip from the future: don’t overpower your wig.
by gsf_emergency_4 | 2025-10-19 03:16:39+00:00
Sorry: gauge-field.

It's poetic and you can pardon the french but the combination is alien.

Poetry is hard: a poetic way to say "co-ordinate transformation" or "tensors" could help students to calculate with them. I'd suggest "shear-squeezing-your-xray-lens" for everything but I fear the backlash from teachers because that would take a doctorate (or more) to unpack!
by AnthonyMouse | 2025-10-19 03:16:46+00:00
> Such a system would presumably account for possible diversions and plot your flight accordingly.

I mean, that's fine if you want to avoid Russia while flying from California to Quebec, but you don't really need an app for that one. Whereas if you're within the plane's fuel supply of where you don't want to be, how are you supposed to know ahead of time what kind of nonsense is going to happen while you're in the air?

The plane could have a navigation failure over the ocean and end up arbitrarily far off course. Some first class VIP could have a medical problem which is going to force the plane to divert anyway and then the nearest city with the right kind of hospital is in the place you don't want to be. And what if you end up St. Petersberg not because you had a layover in Finland but because Helsinki was your intended destination?
by WalterBright | 2025-10-19 03:16:50+00:00
The Romans had short hair. The Romans associated short hair with freedom.

My dad, being in the military, had short hair. He said that short hair was practical when living in the mud. Short hair also allowed an enemy to use it as a handle to pull your head back and cut your throat. There are zero pictures of him with any remotely long hair.

I've had short hair for a long time, now. It's super easy to take care of. Doesn't need combing at all. Haircuts are cheap. And I use the top of my head to reflect light onto whatever I'm working on.
by kimixa | 2025-10-19 03:17:52+00:00
They still use "overlays" - just they're a lot more featureful in modern implementations than "Replace all of one colour with another surface" - so they tend not to have the same limitations and quirks.

MS started exposing some capabilities using MPO in the windows 8 era [0], and they've pretty much always had pretty comprehensive composition pipes in hardware for mobile platforms due to the power/bandwidth limitations meaning compositing the display can be a significant fraction of the total device's performance.

I suspect green (or other block colour) artifacts on video edges are due to bugs/mismatches in specification with the hardware video decoder and how the app displays it, and the bugs that often fall out of that.

Most video compression requires pretty large blocks, normally from 16x16 up 64x64 depending on format, and that may not align with the actual video size (e.g. 1080 does not divide by either). But often implementations still need that extra surface, as things like motion vectors may still refer to data in the "invisible" portion. And it has to be filled with something. It's then real easy to fall into bugs where small numeric errors in things like blending, or even just mix-ups between the different "sizes" that surface has, to cause issues at the edges.

I suspect the other comment about using ANGLE/dx9/dx11-on-12 may be effective as it /also/ causes the hardware video decoder not to be used, which is often a source of "unexpected" differences or limitations that commonly cause errors like that.

[0] https://learn.microsoft.com/en-us/windows-hardware/drivers/d...
by marshfram | 2025-10-19 03:19:54+00:00
How do you decentralize a network that relies on dictionary semantics, the chaos of arbitrary imagery, basics of grammatically sequence signals?

It's oxymoronic. Our communication was developed in highly developed hierarchies for a reason: continual deception, deviance, anarchism, perversion, subversion always operating in conflict and in contrary to hierarchies.

Language is not self-organizing, signaling is not self-learning it self-regulating. The web opened the already existing pandora's box of Shannon's admittedly non-psychologically relevant info theory and went bust at scale.
by hecanjog | 2025-10-19 03:20:59+00:00
> es6 is ready for prime time

I hope this becomes common knowledge! There was a period somewhere between when the web platform didn't have good tools to make web applications (plus DOM manipulation was slow) and the mainstream adoption of es2015 in browsers when it made sense to do things like create a virtual DOM to allow for unavailable features at the expense of performance. It did have its place, but we don't need it anymore.

Remove a layer. In 2025 ES6 is ready for prime time, indeed.
by jancsika | 2025-10-19 03:23:20+00:00
Somebody back in 2015 mentioned a relevant response to Richard Stallman from David Kastrup[1]. It's brilliant.

Did he convince other GCC devs with that post? Mentor younger devs on free software strategy?

What's happened in the ten years since?

C'mon GCC mailing list lurkers-- spill the tea! :)

1: https://lists.gnu.org/archive/html/emacs-devel/2015-02/msg00...
by scottcodie | 2025-10-19 03:25:27+00:00
I've spent my entire career developing databases (oracle, cassandra, my own database startup). Knowing if your workload is read or write heavy is one of the first questions when evaluating database choice, and is critical for tuning options. I would give this article hate just because it feels partially written by AI and the title needs a possessive 'your' in it, but its core ideas are sound and frame the issue correctly.
by aalhijawi | 2025-10-19 03:25:41+00:00
In my article, I dive into the growing shift away from traditional fine-tuning in AI, especially with the advent of models like GPT-5.

Fine-tuning has long been the go-to method for adapting models to specific tasks, but with more powerful pre-trained models like GPT-5, we’re seeing a move towards few-shot and zero-shot learning.

These models are able to handle a wide range of tasks with minimal additional training, challenging the need for task-specific fine-tuning.

The real question I’m exploring is whether we’ll continue to rely on fine-tuning for specialized applications, or if this shift towards generalization will dominate, making it more efficient and scalable to work with models that can adapt to new tasks with little adjustment.

For those working with GPT-5 or other similar models, are you finding the need for fine-tuning decreasing in your own projects? Or are there cases where you still see fine-tuning as a critical part of the process?
by spprashant | 2025-10-19 03:27:30+00:00
The thing we really strive for with Postgres is to keep the UPDATE traffic as low as possible. Because of MVCC, table bloat and the subsequent vacuum jobs will kill your IO even further. This means designing the applications and data model in a way that most write traffic is INSERT, with occasional UPDATEs which cannot be avoided. If you know you are going to have a UPDATE heavy table, be sure to set the fill_factor on the table ahead of time to optimize for it.

Also, in my experience "Faster SSD Storage" point applies to both read and write heavy workloads.
by SoftTalker | 2025-10-19 03:28:15+00:00
I think it became social media when it enabled two-way/multi-way messaging, if that wasn't there from the start. If it was originally just a feed of posts, yeah it wasn't really social media, it was just another form of blogging.

IIRC twitter was originally called a "micro-blogging" platform, and "re-tweeting" and replying to tweets came later. At that point it became social media.
by AnthonyMouse | 2025-10-19 03:28:33+00:00
It seems like a comparison of the battery life under light loads (accounting for the vast majority of the difference) multiplied by some unspecified single thread performance benchmark? But under light loads laptop battery life is dominated by things like the screen rather than the CPU, and on top of that the Macbook has a larger battery.

Meanwhile under the heavy loads that actually tax the processor the M4 somehow has worse battery life even with the larger battery and a nominally lower TDP.

Is the infamous efficiency not the processor at all and they're just winning on the basis of choosing more efficient displays and wireless chips?
by brightball | 2025-10-19 03:29:10+00:00
One thing that catches people by surprise is that read heavy workloads can generate heavy writes.

Queries that need to operate on more data than will fit in the allocated working memory will write to a temporary table on disk, then in some cases perform an operation on that temporary table like sorting the whole thing and finally, after it's done delete it which is even more disk write stress.

It's not really about whether it's ready heavy or write heavy, it's about whether it's usage creates Disk I/O stress.

You can write millions of increment integers and while technically that's "write heavy", there's no stress involved because you're just changing the value in a defined space that's already been allocated. Update space that is more dynamic, like growing a TEXT or JSON field frequently...it's a different story.
by billfor | 2025-10-19 03:31:31+00:00
There was a company called DAK in the 80's that sold all sorts of interesting stuff and I still use my BSR EQ-3000 which is an equalizer with a spectrum analyzer display fed by a microphone that you walk around the room with to confirm your settings. It even has a pink noise button that injects that into the amp so you have a uniform pattern to equalize. Sort of like an analog Sonos Trueplay I guess. We could do all of this in the 80s :-)
by alganet | 2025-10-19 03:32:49+00:00
There is a lot of belief systems in place that shape how human relationships should be. Would you date someone that has a different political affiliation? Be friends with someone who holds different values? And so on...

Digital algorithms now play a role in those belief systems, and the broadcasting of lifes in those digital platforms is a key part of it.

The question "how to take responsibility for yourself?" and similar rejection attitudes nowadays act more like a public encouragement to self-shun. It is, in itself, an act of broadcasting with the explicit goal of interacting with such belief systems.

The most obscene thing you can do in such an arrangement of beliefs is to expose one of the belief systems. It is kind of an attention grabbing mechanism, but very different from Kardashian-style media presence. It's way, way more obscene.
by ryukoposting | 2025-10-19 03:33:37+00:00
> I'm curious how much trained in bias damages in-context performance.

I think there's an example right in front of our faces: look at how terribly SOTA LLMs perform on underrepresented languages and frameworks. I have an old side project written in pre-SvelteKit Svelte. I needed to do a dumb little update, so I told Claude to do it. It wrote its code in React, despite all the surrounding code being Svelte. There's a tangible bias towards things with larger sample sizes in the training corpus. It stands to reason those biases could appear in more subtle ways, too.
by moomoo11 | 2025-10-19 03:33:45+00:00
Controversial but I wouldn't use photos/media at all. At least not as the "main" feature where the actual metric is user engagement, not outcomes. I've worked on a massive, successful dating app before, so I have a bunch of ideas. I also created an app 4-5 years ago but shelved it due to COVID lol.

The challenge is making money on outcomes. There's more money to be made in ongoing care than complete prevention, for example.
by ssl-3 | 2025-10-19 03:35:25+00:00
Perhaps, but: I don't want to deal with avoiding permanently-affixed overspray on parts that don't want to be coated.

I also don't want to work with fasteners that are coated in bedliner: I'm already not having a fun time of things when I'm crawling under an old car doing some manner of repair. I want every possible advantage while I'm down there, and a well-stuck layer of bedliner seems like a big disadvantage.

As a point of comparison, stuff like Fluid Film [and the others that have been mentioned] can be applied to just about anything under the car that's metal (including bendy things like springs), and can be scrubbed off sometime later if it accidentally gets on body-colored parts using just soap, water, and some elbow grease.

Fasteners that are both rust-free and oily usually come apart like a dream when the time comes, and oily coatings that stay goopy tend to self-heal after being abraded by whatever the tires might kick up from the road.

Fluid coatings seem like the right set of tradeoffs in this non-ideal world compared to something like bedliner.

They're not perfect, but nothing is.

(Ideally, I'd live in a place that doesn't require driving through brine... but my world isn't ideal.)
by lovecg | 2025-10-19 03:37:33+00:00
I’m like that more often than not. Words and language always seemed like a “translation layer” to express myself to other people, not something essential that needs to happen in my head. Especially when thinking deeply about some technical problem there’s no language involved, just abstract shapes and seeing things “in my mind’s eye”.

We might just be rehashing that silly internet meme about “shape rotators”, but there could be a correlation here where people whose minds work this way are more dismissive of LLMs.
by cperciva | 2025-10-19 03:37:39+00:00
It also speaks to an absolute failure of governance. If I missed an important email on a FreeBSD mailing list, you can bet that a dozen other people would see it and either poke me about it or just go ahead and act upon it themselves.

The fact that RMS missed an email and nobody else did anything about it either is a sign of an absolutely dysfunctional relationship between the project and its leadership.
by jebarker | 2025-10-19 03:38:00+00:00
Yes. I've run numerous 50Ks, 50 milers, 100ks and 100 milers. I felt like crap after 20 miles in almost all of them. Most of getting better at ultramarathons is learning to keep going when feeling like crap. Oddly, the one race that was an exception is probably the hardest one of them I did on paper - in that case I was going so slowly from the beginning that I never really hit a 20 mile wall.
by hn_throwaway_99 | 2025-10-19 03:38:20+00:00
I think that's leaving out a lot of context that the "Controversies" section of that Wikipedia entry, https://en.wikipedia.org/wiki/Google_China#Controversies, better explains.

First, in 2006, there was still a general belief I think that Western companies could profitably exist in China and be, if not a "force for good", than at least a force for slightly more openness. Google's options were either to not be in China at all, or to be in China and abide by their laws. So when they censored search results in the 2006-2010 time period, at least they told you they were doing it and that it was at the demands of Chinese authorities. I think it's a fair debate to have on either side whether this was a good thing, but I think it's a gross oversimplification to present that this was a simple black-and-white decision and that Google "never had a problem censoring their results."
by dalyons | 2025-10-19 03:38:35+00:00
So, it is the same thing… but people have vibes and perception that it’s not? Data says otherwise, but people have feelings? I don’t really know what to do with that argument.

Even if it’s true that people have a “perception”, it won’t matter in the medium term, these folk are going to learn pretty quick that EVs are more reliable than ice cars. Much simpler, much less to go wrong. And soon cheaper, at least everywhere but the US. We’ll be into majority EV soon enough (not in the US, for reasons)
by yurimo | 2025-10-19 03:38:40+00:00
I'm guessing you can still find Coral TPU-based boards somewhere but not sure what the support for these will be now that the focus is shifting. Coral TPU also uses subset of tensorflow and its nice to see that the open standard is targeting jax and torch.

When I went to see if anyone is selling the boards or their "Partners" page regarding manufacturing design I got 404 even after signing in: https://developers.google.com/coral/guides/coral/resource
by spprashant | 2025-10-19 03:38:58+00:00
Not all of these are "anti-patterns", your query clause not matching your index is a problem of not understanding how indexes work.

Some of these have nothing to do with SQL the language itself, and more to do with database schema design. If you have to do a DISTINCT, it means your primary key design is likely not right. If you are layering too many views, something is broken in the base table design, requiring the creation of all these views.

A good database model goes a long way to avoiding all this.
by vel0city | 2025-10-19 03:40:56+00:00
You're able to tell the actual texture and hardness of the cheese through pictures on website listing. Incredible.

Cheddar is expected to be this color in the US market, its common to add annatto to it. There are other white cheddars as well, but its usually expected to be about this color. Its not weird to be in cheese as its commonly found in Red Leicester, Double Gloucester, Cheshire, and Shropshire Blue, French Mimolette, and even other European varieties of cheddar.

Mozzarella often comes in multiple different varieties. There's the "fresh" mozzarella which is sold in the whey, while there's also commonly "low-moisture" mozzarella that's commonly used for shredding purposes. This is true in the US as in Europe. Either way, "fresh" mozzarella can also be easily found at Walmart.

https://www.walmart.com/ip/BelGioioso-Fresh-Mozzarella-Chees...

"Swiss cheese" is a common name for Emmental in the US. So once again, ignorance. Thanks for showcasing it so clearly. I guess Emmental isn't a real cheese either. https://en.wikipedia.org/wiki/Swiss_cheese_(North_America)

So ignorance and pretentiousness. Got it. Thanks for proving it.

But hey, you also said these products didn't even exist just a few comments ago so its not too surprising.

Once again, I'm not saying these are high quality cheeses. They're cheap. They're not fancy at all. Nobody goes to Walmart to get "the good stuff". But that doesn't make them not cheese. Maybe crappy cheeses, sure. Maybe produced in not the right region for a given name according to some jurisdictions. But the standard given was real and basic, not fancy or high end or excellent quality or whatever. I would agree, for good cheese I don't go to Walmart, I go elsewhere. But if all I need is a block of cheddar or emmental or "gouda" or whatever to make some sandwiches, its fine.

If you had said "good" cheese I'd have agreed with you. It's not great cheese. If I'm wanting good cheese I'll go elsewhere. But instead the standard was "real" cheese.
by stormbeard | 2025-10-19 03:42:04+00:00
I read this comment, went back to the article, and then came back to this comment. I have no idea what niche political agenda you're talking about- the message of the article is basically "solve problems your users are actually facing, not problems you think they have".

You can apply the concepts the author talks about to _literally_ any group that would make use of social media.
by CamperBob2 | 2025-10-19 03:47:04+00:00
The fault here was entirely Stallman's own. He has some kind of byzantine but ideologically-pure protocol for reading his emails in batches, which he has to request explicitly from someone or something that retrieves them for him.

You can't infer anything from this episode about the suitability or unsuitability of email for any particular purpose.
by fipar | 2025-10-19 03:48:00+00:00
I'm not sure I understand the part about set theory. If anything, a valid use of DISTINCT is if you want the result to be (closer to) a set, as otherwise (to your point, depending on the data model) you may get a bag instead.

In fact, IIRC, using DISTINCT (usually bad for performance, btw) is an SQL advice by CJ Date in https://www.oreilly.com/library/view/sql-and-relational/9781...
by dalyons | 2025-10-19 03:53:10+00:00
I understand the argument now thank you. And I guess that makes sense for people stuck in that positioning, they would have to be marketed to with guarantees to change their mind.

Or, what I suspect but have nothing but anecdotal data - the “25k replacement” positioned group is not that big, or not big enough for manufacturers to care. I’ve certainly never heard that as a fear or even mentioned from anyone I know. Manufacturers can probably just ignore these folk, sell to the rest of the market, and over time they’ll change their mind “for free” anyway as more mass market evidence comes in of it not being a real problem. Or not, and they never sell to those particular folk, but oh well, it’s still not worth it, it’s incredibly expensive to change a skeptics mind. These companies aren’t idiots, they do all kind of market positioning research. The fact that there’s no product/guarentee for your particular concern probably means it isn’t worth it to them. They’ll never get your $ but they don’t care.

I do idly wonder if there’s a market here for a specific insurance product for ev batteries, and then those that have the fear can buy it.
by fsckboy | 2025-10-19 03:53:25+00:00
>They are stating that companies operating in the UK and providing services to UK individuals

did you mean to say "companies operating in the UK and(including) companies providing services to the UK"? because the way you wrote it, it would not apply to 4chan

and what is not being mentioned by most commenters is, if the law is unenforceable on a US corp, what is the chance that an individual associated with 4chan Inc could find themselves individually arrested were they to set foot in a Commonwealth country or somesuch
by wkat4242 | 2025-10-19 03:54:31+00:00
Absolutely. AGI isn't a matter of adding more 9s. It's a matter of solving more "???"s. And those require not just work but also a healthy serving of luck.

As I understand it, to the breadth of LLMs was also something that was stumbled on kinda by accident, I understand they got developed as translators and were just 'smarter' than expected.

Also, to understand the world you don't need language. People don't think in language. Thought is understanding. Language is knowledge transfer and expression.
by rdtsc | 2025-10-19 03:56:29+00:00
> No deep-sea shenanigans around the Titanic wreck were revealed. Manley explains in his Twitter thread that “the camera had been configured to dump data onto an external storage device, so nothing was found from the accident dive.” Nothing particularly pertinent to the tragic accident, that is.

This is about camera hardware and how it survived. It provides no information or footage about the incident (in case you were looking for it like I was).
by jen20 | 2025-10-19 03:57:13+00:00
AFAIK all the hyperscalers have replaced etcd for their managed Kubernetes services [1], [2], [3] - though Azure is the least clear about what they actually use currently.

[1]: https://aws.amazon.com/blogs/containers/under-the-hood-amazo...

[2]: https://cloud.google.com/blog/products/containers-kubernetes...

[3]: https://azure.microsoft.com/en-us/blog/a-cosmonaut-s-guide-t...