MurphyA/hacker-news huggingface dataset:
by politelemon | 2025-07-05 07:08:25+00:00
Both in the conversations as well as these comments I see two sets of people talking past each other. Immediately that phrase becomes very evident, "It is difficult to get a man to understand something when his salary depends on his not understanding it."

Embracing k8s is a monumental decision for a company and from that point forward it becomes the galactic center of everything you do. Any new solution you introduce needs to fit into the k8s ecosystem you will have created. It insists upon itself, and it insists upon people's time. It is also a lock in of its own kind, and an insidious one too. You are not going to escape a lock in, the only thing you can do is accept it or perform an appropriate set of mental gymnastics to convince yourself that it isn't one.

Many of us are technologists, and part our role is to understand that cost and impact. After 10 years, hopefully it is evident by now and we have learned in the industry that k8s not something that should be taken on lightly (spoiler: we haven't learned squat).

It absolutely is possible to go managed well - forget serverless itself - managed services where you work with what is given by a cloud provider. The point of managed services isn't just cost, it is reducing the amount of time and effort your humans are spending. Part of managed services is to actually understand what they do and not go in blindly, then acting surprised when they do something else. Small functions, Lambda. Containers, ECS Fargate. Databases, RDS. The service costs and boogeymans often trotted out are irrelevant in the face of human time, if your humans are having to maintain and manage something, that is wasted time, and they are not delivering actual things of value.
by Taniwha | 2025-07-05 07:08:35+00:00
Branch hint instructions essentially give you the initial value for your BTC entry, after that you want it to learn - in general though if you initially predict backwards branches and don't predict forwards ones it's almost as good.

Very few architectures have conditional indirect branches and they don't get used all that much:

- subroutine return: better predicted with a stack - virtual method dispatch: needs a predictor (for the destination, not the 'taken' - a different thing with multiple destinations chosen by the history than a normal branch destination which typically has a single destination and a history choosing whether taken or not) - dense case statements: similar to virtual method dispatch but maybe with a need for far more destinations

All these cases often involve a memory load prior to the branch, in essence what you are predicting is what is being loaded, and you want to keep feeding the pipe while you wait for the load to complete
by NitpickLawyer | 2025-07-05 07:09:06+00:00
Cursor is an interesting case study on the wrapper vs. core debate. They were the first big success story in the coding space, enjoyed first mover advantages, and sweetheart deals with volume tokens from providers.

Now that all the providers have moved towards in-housing their coding solutions, the sweetheart deals are gone. And the wrapper goes back to "at cost" usage. Which, on paper should be less value / $ than any of the tiers offered by the providers themselves.

Whatever data they collected, and whatever investments they made in core tech remains to be seen. And it's a question of making use of that data. We can see that it is highly valuable for providers (as they all subsidise usage to an extent). Goog is offering lots of stuff for free, presumably to collect data.

One interesting distinction is on cursor vs. windsurf. Windsurf actually developed some internal models (either pre-trained or post-trained I don't know, but probably doesn't matter much) swe1 and swe1-lite that are actually pretty good on their own. I don't think cursor has done that, beyond their tab-next-prediction model. A clue, perhaps.

Anyway, it will be interesting to see how this all unfolds 2-5 years from now.
by chobeat | 2025-07-05 07:09:12+00:00
It's not exclusive to tech workers and it has nothing to do with Maoism. I'm not even leftist. It's just how our present economy works: since needs have long been satisfied, profit goes to who exploits better. Either the workers, nature, or the consumer. The more you exploit, the more you profit. Or do you think it's by chance that every major investment group, tech unicorn and military company does or enables unthinkable dystopic horrors?
by karel-3d | 2025-07-05 07:10:28+00:00
You can get rich by... having it

Sort of like gold I guess.

I have never figured out "lightning network", their "solution" for payments. (bitcoin payments are so impractical that they have a different, separate system to use for actual payments, that works completely differently.) Seems very convoluted. I need to pay a huge fee just to make a channel so I can receive anything? And there is something about liquidity? I implemented bitcoin stuff and still cannot figure lightning out.

bitcoin is mainly for buying it and looking at a chart.
by cardanome | 2025-07-05 07:10:49+00:00
> If someone wants to pay me 1.5x or 2.0x as much for time spent on a task over 40 hours a week that seems like a very appealing prospect to me, especially if it was a task that I was otherwise going to spend my time doing for free.

Again, overtime is perfectly legal, we were just talking about the average working time per week.

> Why should the state mandate a cap on voluntary employment, rather than focus on ensuring that no one needs to work that much to survive?

Because the first one is the easiest way to ensure the later one. You are missing the power dynamic between employer and employee. That is they main point. It is just not possible for the extra work to be truly voluntarily.

It is the same principle why a boss having sex with their assistant is deeply unethical. Because the power dynamic. Even if we assistant is attracted to them. They know refusing could have consequences for their career.

Plus, that unicorn worker that wants to work more than 48 hours to make someone else rich and is otherwise a healthy, non workaholic individual, does not even exist. If someone is that driven they can just go freelancing and earn even more money.

You idea is solid in a vacuum but just doesn't work with the real power dynamics under capitalism.

> Is there any sort of data to back up the assertion that a system where people are not allowed to pay other people for more than 48 hours of their time in a week a better system that leads to better outcomes than one where people are free to exchange their time in exchange for a wage with mandatory overtime?

I mean the US has one of the worst work-life balances of any developed country, so yeah. Meanwhile Germany is pretty good in that regard. Again, most developed countries limit work time somehow.
by kryptn | 2025-07-05 07:11:27+00:00
> To a k8s engineer, serverless means “no servers”!

I'd assume a majority of people working with k8s knows what serverless is and where Functions as a Service work more generically.

The rest of the post just seems to be full of strawman arguments.

who is this kubernetes engineer villain? It sounds like a bad coworker at a company with a toxic culture, or a serverless advocate complaining at a bar after a bad meeting.

> k8s is great for container orchestration and complex workloads, while serverless shines for event-driven, auto-scaling applications.

> But will a k8s engineer ever admit that?

Of course. I manage k8s clusters in aws with eks. We use karpenter for autoscaling. A lot of our system is argo workflows, but we've also got a dozen or so services running.

We also have some large step functions written by a team that chose use lambda because aws can handle that kind of scaling much better than we would have wanted to in k8s.
by senko | 2025-07-05 07:11:34+00:00
That didn’t bother me so much (less than it should have), but string manipulation in C is tedious, man! And there was soo much string manipulation (none of it done by a helpful framework)…

I used Perl instead, which worked way better in that regard (+ taint based security was welcome in handling untrusted user input), and an enormous (for the time) CPAN ecosystem, but had other problems.

Python web ecosystem was a mess, so PHP3 it was (ah the “good” ol days of mysql_real_escape_string()) … until some enterprising individuals wrote Django and I happily switched. Thank you :)
by yxhuvud | 2025-07-05 07:13:15+00:00
Strict antitrust sense don't look at actual monopoly to trigger, but just if you use your standing in the market to gain unjust advantages. Which does not require a monopoly situation but just a strong standing used wrong (like abusing vertical integration). So Standard Oil, to take a famous example, never had more than a 30% market share.

Breaking a monopoly can be a solution to that, however. But having a large part of a market by itself doesn't trigger anti trust legislation.
by datagram | 2025-07-05 07:13:30+00:00
AMD cards are fine from a raw performance perspective, but Nvidia has built themselves a moat of software/hardware features like ray-tracing, video encoding, CUDA, DLSS, etc where AMD's equivalents have simply not been as good.

With their current generation of cards AMD has caught up on all of those things except CUDA, and Intel is in a similar spot now that they've had time to improve their drivers, so it's pretty easy now to buy a non-Nvidia card without feeling like you're giving anything up.
by Stranger_X | 2025-07-05 07:13:34+00:00
Interesting take. It feels like academia is now stuck between being a training ground for AI models and being slowly gutted by them. First the AI companies read all the research, now they’re hiring away the researchers too.

The irony? Universities helped build the tools that are now disrupting them. Feels like open access became open season.

I've been working on a small social project myself (Stranger-Meet.com), and even there I’ve noticed how quickly AI is swallowing human connection. It's fascinating—and a little scary—how fast it's moving across industries.

Curious how many institutions will pivot to AI ethics and regulation, or just license their data and call it a win.
Show HN: AI generated short film using Midjourney and GPT [video]
by paisanashapyaar | 2025-07-05 07:13:35+00:00
I’ve been watching a lot of cinema lately, and with recent AI advancements, I’m genuinely excited about the future of AI generated filmmaking.

Most of my scenes are heavily influenced by the directors I admire; Wong Kar-wai, Tarkovsky, Kurosawa, and others. That naturally shapes my creative choices and the perspective of each shot.

Here’s been my workflow so far: - Start with an idea and refine it into a script – Break the script into individual scenes, then into specific shots – For each shot, work with GPT to conceptualize a reference shot – Refine that until it feels right, then generate a MidJourney prompt – Iterate the prompt until the visual matches the emotion – Stitch everything together with an impactful soundtrack and simple editing – Viola!

If you’re deeply into cinema or anime, prompt engineering comes more naturally, it's less about keywords and more about emotional composition and visual storytelling.

That said, prompt engineering isn’t easy. There are tons of tweaks and hacks needed to get a decent shot. And even then, the biggest challenge is maintaining consistent characters and world design across shots. There just aren’t enough tools yet to give creatives full control over scenes.

I think there’s a real need for a tool that handles everything end-to-end, from script to visual storyboard to generation to editing/export.

It’s also a bit expensive. I blew through credits quickly while chasing the "perfect shot". Eventually, I had to settle for "good enough".

Overall, I’m incredibly bullish on AI generated films. We’re on the edge of a creative explosion, and the possibilities are endless.

And here’s a thought, if you believe AI won’t replace programmers because real dev work needs problem solving, then the same logic should apply to creatives. At its core, both are acts of structured creativity.

Would love to connect with anyone building in this space!
by ohdeargodno | 2025-07-05 07:14:04+00:00
Ao3 doesn't have a dude getting slack alerts by a dozen monitoring agents. It's one of the last holdouts of the old, more personal internet. Hell, it's even certain that they forgot or even didn't know that the type was an unsigned int.

And that's perfect. Blame the wall too, because it was running just fine. It's a site to write (mostly porn), with better uptime and more daily users than most of the companies posted on HN daily.
by florbnit | 2025-07-05 07:14:08+00:00
K8s team insists k8s team needs to exist. Just fire them already, hire a consultant to set you up if you can’t do it yourself. And the difference in cost will certainly be covered by the savings on the k8s team.

No need to worry about them, they’ll easily get a job at Amazon running the infrastructure that you will use instead of running the infrastructure you would have built for them.
by dottedmag | 2025-07-05 07:14:35+00:00
It is, but directly, not as a subversion.

I have had a similar experience with a team member who was quietly unhappy about a rule. Instead of raising a discussion about the rule (like the rest of the team members did) he tried to quietly ignore it in his work, usually via requesting reviews from less stringent reviewers.

As a result, after a while I started documenting every single instance of his sneaky rule-breakage, sending every instance straight to his manager, and the person was out pretty soon.
by ozgrakkurt | 2025-07-05 07:14:37+00:00
Longevity can be achieved for a company with two devs and no outside investment with 15k/month income so they can live ok.

But for a vc funded startup you need way more revenue to keep raising money. This is from what I learned in the startups I worked at.

I guess uber is a huge success compared to your median startup right?
by Sweepi | 2025-07-05 07:15:44+00:00
Nvidia is full of shit, but this article is full of shit, too. A lot of human slop, some examples:

- 12VHPWR is not at fault / the issue. As the article itself points out, the missing power balancing circuit is to blame. The 3090 Ti had bot 12VHPWR and the balancing power circuit and ran flawless.

- Nvidia G-Sync: Total non-issue. G-Sync native is dead. Since 2023, ~1000 Freesync Monitors have been released, and 3(!!) G-Sync native Monitors.

- The RTX 4000 series is not still expensive, it is again expensive. It was much cheaper a year before RTX 5000 release

- Anti-Sag Brackets were a thing way before RTX 4000
by gary17the | 2025-07-05 07:15:48+00:00
I think the only reason vibe coding/prompt engineering seems to be taking over programmers' jobs is the fact that it currently enjoys the status of the latest investment craze/fashion such as blockchain did a few years ago and the dot-com boom did even earlier. In a few years projects based on AI generated code spaghetti will start to quietly fail one after another due to accumulation of technical debt and the necessity for manual, costly codebase rewrites and the whole AI coding train will come crashing down just like all other unrealistic, "new economy" fads before it. Companies will get desperate to hire decent programmers back and things will be back to normal.
by jasonvorhe | 2025-07-05 07:17:46+00:00
If this at least involved Len Sassaman somehow, I'd find it at least worthy of digging in to this. Pass. Musk and Thiel being true cypherpunks? Come on. Musk hasn't had a single idea on his own, Thiel is way too busy coming up with ways to enslave everyone. No way they had anything to do with creating Bitcoin.
by Stranger_X | 2025-07-05 07:17:56+00:00
Super slick! Love how compact and Windows-friendly this is — so many MCP examples feel bloated or overly abstract. This is refreshingly direct.

I’ve been building a real-time chat app lately (stranger-Meet.com) and running into all kinds of overengineered setups. A clean 2-liner MCP like this is honestly a dream for debugging or prototyping quick AI integrations. Bookmarked — and big thanks for sharing!
by Rapzid | 2025-07-05 07:19:28+00:00
GN were the OG "fake framers" going back to their constant casting shade on DLSS, ignoring it on their reviews, and also crapping on RT.

AI upscaling, AI denoising, and RT were clearly the future even 6 years ago. CDPR and the rest of the industry knew it, but outlets like GN pushed a narrative(borderline conspiracy) the developers were somehow out of touch and didn't know what they were talking about?

There is a contingent of gamers who play competitive FPS. Most of which are, like in all casual competitive hobbies, not very good. But they ate up the 240hz rasterization be-all meat GN was feeding them. Then they think they are the majority and speak for all gamers(as every loud minority on the internet does).

Fast forward 6 years and NVidia is crushing the Steam top 10 GPU list, AI rendering techniques are becoming ubiquitous, and RT is slowly edging out rasterization.

Now that the data is clear the narrative is most consumers are "suckers" for purchasing NVidia, Nintendo, and etc. And the content creator economy will be there to tell them they are right.

Edit: I believe too some of these outlets had chips on their shoulder regarding NVidia going way back. So AMDs poor RT performance and lack of any competitive answer the the DLSS suite for YEARS had them lying to themselves about where the industry was headed. Essentially they were running interference for AMD. Now that FSR4 is finally here it's like AI upscaling is finally ok.
by Stranger_X | 2025-07-05 07:19:48+00:00
There’s definitely a gold rush vibe in AI right now — and not the good kind. It’s wild how quickly “open” AI research turned into billion-dollar lobbying and closed APIs.

As someone building a small project (stranger-meet.com), I constantly feel the tension between making something fun for humans vs. building something that can “scale” in the VC sense. The incentives are so different.

This video nails an important point: regulation isn’t just about safety — it’s about who gets to shape the future. Right now, it’s mostly the richest.
by xlii | 2025-07-05 07:20:50+00:00
I have approx. 15 years of experience working remotely for various companies all across the globe and was always an advocate of thesis that remote work is difficult and most people aren’t cut for it and (to horror of many proponents) and on average are less efficient than on-site hires.

There are many reasons: It’s difficult to understand _intention_ when deprived of non-verbal communication and working in a choppy network call. Even if one can gloss over communication needs etc. there’s burnout looming around the corner and natural, healthy laziness getting into the way. Sometimes even internal politics might be blocking knowledge/access/contribution for more or less peculiar reasons.

It’s not like it’s impossible to hire remote engineer, yet my (completely unmetered) estimates out of experience is that approx. 10% of engineers willing to work remotely can sustain health (physical and mental) and be efficient outside of 1-2 years of honeymoon period.

There was some tumbling around COVID but IMO both stationary jobs and remote ones are doing well on mid-high quality positions.
by Stranger_X | 2025-07-05 07:21:06+00:00
It’s kind of ironic watching AI companies push for openness, then panic when the internet does what it always does — break things, remix them, and expose cracks.

I’m just building a small project for chatting with strangers online (stranger-meet.com), and even in that low-stakes space, I’m seeing how fast the AI landscape is shifting — legally, technically, ethically. The gap between “playground innovation” and “corporate lockdown” is getting wild.

Feels like we’re entering the phase where AI companies start closing doors they once bragged about opening.
OT Devices Exposed Online Without Authentication – Research Disclosure
by hacker_might | 2025-07-05 07:21:48+00:00
https://medium.com/@hacker_might/500-ot-devices-exposed-online-without-login-an-ethical-deep-5d6be16200fd

No lab. No physical device. Just internet-facing OT systems and one curious mind.

This research started with a simple Fofa query and turned into the discovery of over 500 industrial OT devices exposed online — no login, no authentication. All found remotely, responsibly reported, and disclosed for public awareness.

It proves one thing: you don’t need access to hardware to uncover real-world OT risks — just the right mindset and the will to look deeper.
by phendrenad2 | 2025-07-05 07:23:13+00:00
Never played EQ, but spent my fair share of time in WoW. And then, many many other MMOs. What was aleays great is jumping into a random new game and not knowing what to do or where to go - just figuring it out on the fly. A few times in recent history I've tried to jump into the latest MMOs only to find that they hold your hand every step of the way, forcing you to walk through lengthy tutorials. If I wanted to play a game I'd just load up Doom. I want a WORLD to explore! Until MMOs learn to provide a rich and compelling world again, the genre is dead in my eyes.
by toast0 | 2025-07-05 07:23:34+00:00
Kernel modules exist. The Linux VFS is a slowly evolving filesystem API. Most Linux distributions boot with initramfs, so it's not hard to use a stable filesystem for the bootloader to read the kernel and initramfs which includes the driver for the experimental filesystem.

Sometimes a new filesystem needs changes to things in the kernel and the VFS API isn't enough, but often VFS is enough.
by wingworks | 2025-07-05 07:24:07+00:00
Looking at some old photos from 2018 on idle it takes around 7.7-15W, don't recall what I had running on it at the time. Probably Plex.

Not sure on remote turn on. I've got it on a UPS which usually holds it over any short power cuts. I don't think it auto powers on after extended power cut, but I've also not looked into if it's possible to enable.

Edit, looks like you can enable auto boot: https://www.reddit.com/r/Proxmox/comments/vf8cv4/mac_mini_au...

Also, according to this https://wiki.debian.org/WakeOnLan, I checked my Mac, and both Supports Wake-on and Wake-on was "g", so in theory, WoL should work too.
by csomar | 2025-07-05 07:24:52+00:00
tl;dr: They are f*ked and they have no way out.

$20 on API pricing is what Claude Pro will give you in a day. It doesn't matter how good cursor is, this is a massive limitation and price differential that they can't overcome. Even if they go with DeepSeek which is much cheaper, they are still significantly more expensive than a Claude subscription.
by troupo | 2025-07-05 07:24:59+00:00
> That makes no sense. You're either click-baiting or have an inconsistent stance.

Or you haven't actually understood a single thing from the article.

Like the fact you say "aren't we technologists" immediately followed by a completely unverifiable claim that everyone is supposed to take at face value, uncritically.

And any criticism is immediately labeled as "crap", "people who can't see the future" etc. Remind you of anyone?
by josephernest | 2025-07-05 07:25:29+00:00
Why would it be limited to ~ 100 connections on a 1-4 GB RAM server? Out of curiosity if we fork() httpd and exec() the cgi handler, it doesn't take the same RAM as the parent process and it could just take a few KB or MB, is that right? So I guess 1000+ concurrent connections even on a small server is possible.
by wohoef | 2025-07-05 07:26:46+00:00
In my experience LLMs have a hard time working with text grids like this. It seems to find columns harder to “detect” then rows. Probably because it’s input shows it as a giant row if that makes sense.

It has the same problem with playing chess. But I’m not sure if there is a datatype it could work with for this kinda game. Currently it seems more like LLMs can’t really work on spacial problems. But this should actually be something that can be fixed (pretty sure I saw an article about it on HN recently)