MurphyA/hacker-news huggingface dataset:
by crazylogger | 2025-08-11 03:11:47+00:00
Yes, number-wise the wealth gap between the top and median is bigger than ever, but the actual quality-of-life difference has never been smaller — Elon and I probably both use an iPhone, wear similar T-shirts, mostly eat the same kind of food, get our information & entertainment from Google/ChatGPT/Youtube/X.

I fully expect the distribution to be even more extreme in an ultra-productive AI future, yet nonetheless, the bottom 50% would have their every need met in the same manner that Elon has his. If you ever want anything or have something more ambitious in mind, say, start a company to build something no one’s thought of — you’d just call a robot to do it. And because the robots are themselves developed and maintained by an all-robot company, it costs nobody anything to provide this AGI robot service to everyone.

A Google-like information query would have been unimaginably costly to execute a hundred years ago, and here we are, it’s totally free because running Google is so automated. Rich people don't even get a better Google just because they are willing to pay - everybody gets the best stuff when the best stuff costs 0 anyway.
by ATiredGoat | 2025-08-11 03:12:01+00:00
I just crossed the 3,200 room mark in The Labyrinth of Time’s Edge, and I’m grinning like a kid at a green screen. Three thousand two hundred little pockets of story, each with its own mood and exits, stitched together into one weird, breathing world. It’s a milestone that felt impossible when I started, and now it’s just here. Thank you for walking it with me. A quick reminder: the whole project is open source. No paywalls, no tricks just the code, the tools, and the rooms. If you’re curious how it works, want to file an issue, or feel like shaping a corner of the labyrinth, you’re invited. And yes: it’s written entirely in QBasic. Keyboard-first, text-first, retro on purpose. The engine keeps a simple N/E/S/W graph for each room, loads descriptions on demand, and stays snappy by paging content from data files instead of hoarding it all in memory. No frameworks, no shaders just clean loops, careful strings, and a little discipline. It turns out constraints are rocket fuel; QBasic keeps me honest and close to the work.

I’m going to keep shipping rooms at a steady pace, tightening the story, and polishing the writing where it squeaks. If you want to help, jump in. If you just want to play, that’s perfect too. Either way, thank you. I keep going until the wheels fall off. Keep the lantern lit.
by Terr_ | 2025-08-11 03:12:33+00:00
I'm hopeful that stuff like Android Auto or Apple CarPlay will continue moving some of the risky obsolete-able complexity away of the giant expensive machine I plan to keep for over a decade (the car) and into smaller easier-to-replace ones (my smartphone.)

A quick outline for those who haven't used them: The car's head-display becomes mostly-controlled by your phone, which is what supplies any navigation, music, podcasts, address-book, GPS, cellular data-connection, etc. Meanwhile the car focuses on providing the display/touchpad hardware, inputs from steering-wheel controls, and maybe AM/FM radio modes.

With the right vehicles/adapters I don't even need to take my phone out of my pocket, which is great because then I can't forget it in the car.
by dlcarrier | 2025-08-11 03:13:50+00:00
I worked in an office that had floor to ceiling windows, and a when a construction project started down the street there was some equipment they'd occasionally run that produced infrasound matching the resonance of my office. When it was running, being in the office felt similar to the beating that sometimes happens when driving on the freeway with a car window open, but without the wind and much stronger. It was impossible to get any work done while that happened, but fortunately it wasn't very often.
by benreesman | 2025-08-11 03:14:03+00:00
Strix Halo is one of the tier-1 out-of-the-box perfect targets for for // hypermodern // nixos so I'm tuning it for the EVO-X2 which was the first desktop one available (and we'll support omarchy's hyprland rice out of the box, its a nice rice even if I prefer Ono-Sendai).

That's getting you twice the RAM for the same price. Now the Framework has both intangible cool factor and scope for more upgrades, so if money is no object, get the Framework.

But I can vouch for the EVO-X2 as the real Strix Halo experience: its thermals are solid, and even under sustained 100W+ its quieter than the average gaming PC. Obviously an elite ITX build can do better, but it's jaw-dropping at the price point: great ports, plenty of M.2 capacity, stable under extreme load, and a lot cheaper.
by RossBencina | 2025-08-11 03:14:20+00:00
I'm curious, which actor model warts are you referring to exactly?

[The obvious candidates from my point of view are (1) it's an abstract mathematical model with dispersed application/implementations, most of which introduce additional constraints (in other words, there is no central theory of the actor model implementation space), and (2) the message transport semantics are fixed: the model assumes eventual out-of-order delivery of an unbounded stream of messages. I think they should have enumerated the space of transport capabilities including ordered/unordered, reliable/unreliable within the core model. Treatment of bounded queuing in the core model would also be nice, but you can model that as an unreliable intermediate actor that drops messages or implements a backpressure handshake when the queue is full.]
by strogonoff | 2025-08-11 03:15:23+00:00
When look and feel of a widget are not controllable by designer, what ends up being is that people by whom it is controllable—who developed the widget, or the end user—become the de-facto designers. This is further complicated by the fact that “look and feel” can hardly be perfectly decoupled from how it works and its semantic content model (which in an ideal world the data to be skinned would be described in).

Though I can see both sides, there is a belief system in which this type of work is best delegated to professionals.
by avalys | 2025-08-11 03:15:44+00:00
Your point is quite valid for people who are new to software engineering, and learning things for the first time. But in this regard I don’t see AI as any different from other tools that have exceeded human capabilities in one way or another.

Even though calculators and Mathematica exist, a mathematics student should learn to do arithmetic, long division, calculus, etc. by hand.

Even though AI tools (and for that matter, standard libraries) exist that can do it better and faster, a computer science student should still learn to implement a linked list, etc. from scratch.

But a professional software engineer will use AI and standard libraries, just like a professional physicist will use a calculator and Mathematica.

Calculators existed when I was a kid. I still learned arithmetic without cheating. I’m sure educators will figure out how to teach students software engineering (and writing, and thinking) without cheating.
by trod1234 | 2025-08-11 03:15:44+00:00
They are doing more than hope.

The Central bankers only see credits, and liabilities. They've done all they can on the credit side with money-printing over the past decade and a half, so for the past several years policy has been based in lowering life expectancy.

The broader liabilities associated with an individual disappear when those people die. Its callous to think this way, but this is how they think, and they do so and act indirectly because the average Joe won't notice, gradually nice and slow, just like a frog boiling.
by pabs3 | 2025-08-11 03:17:01+00:00
Well, the existing i386 port is going to remain as-is for supporting old software (especially games) (but the CPU baseline will likely get increased), it isn't going to be removed, so you would need a new architecture for 32bit-only hardware.

Since i386 is not going to do the 2038 transition either (since that would break the ABI), also you would need to either make a new ABI for the new port, or do the 2038 transition for it too.

Over time more and more 32-bit bugs will get introduced, so there will be lots of maintenance work to do too.
Show HN: UwU – Generate CLI commands inline with GPT-5
by funfunfunction | 2025-08-11 03:17:21+00:00
I wanted a dead-simple way to quickly generate CLI commands without the overhead of Claude Code or Cursor, so I built it in an afternoon.

The project uses some zsh magic to allow for quick editing of the model's response before running the command. Commands show up in your shell history, just like any other command.

The project is intended to be very simple and hackable -- the whole project is one TypeScript file.

Feedback (and pull requests) welcome!
by cam_l | 2025-08-11 03:19:09+00:00
In a somewhat misguided defence of the OP, he actually makes two points.

Giving a shit about your work is the second point. Without any other comments suggesting the alternative, I assume this is second in order of importance. And as there are only two points I would take that to mean the second point is the least important.

His first point is to give a shit about the company. This being the most important point probably explains the accusations of late payments and wage theft from former employees and contractors against the company. They just weren't putting the company first!

As an aside, I have been thinking of this in relation to the 3 laws, as in a sense, executives see workers as robots, and I think the 3 laws mesh quite nicely with corporate directives.

1) A robot (employee) may not injure the company or allow the company to come to harm;

2) A robot must obey their manager unless it conflicts with the First Law;

3) A robot must protect its own existence (in the company) as long as it does not conflict with the First or Second Law.

The work doesn't really come into to it, unless it is a subset of the 3rd law.
by jrozner | 2025-08-11 03:19:17+00:00
Unless he’s getting into a truly top tier school, have him go to a state university for much less. Community college and transferring is also an option but the social experience of going to a 4 year university is unique and fun. If you have something local where he can live at home or work enough while in school to cover part of the expenses, great. Spend $30-40k instead. I went to a fine state school in California and have talked to a lot of CS grads. I’ve rarely seen significant value add for paying more for a mid tier school than whatever the cheaper average option is.
by __MatrixMan__ | 2025-08-11 03:19:31+00:00
On the bright side, those others would have good reason not to give you reasons to deviate from the plan.

It was usually social pressure that did me in. People want to meet for coffee or drinks or food at a time when it wasn't well aligned with my nap schedule, and I started making compromises...

I suppose something that engages you for hours could appear unscheduled while sailing, but it seems like most sources of such things could be mitigated with adequate planning, and they're unlikely to involve coffee or beer or birthday cake.
by cookiengineer | 2025-08-11 03:22:54+00:00
You seem to be a young fella, so let me tell you this:

Every time you do coder.Health-- for bank.Money++, you have the problem that you are never able to do coder.Health++ for bank.Money-- afterwards.

Never sacrifice health for money. Never. Every idea that needs to be worked on more than 50 hours a week is an idea not worth working on.

I know how it is, I've been there myself. You'll be reluctant to listen now. But maybe in a year you'll come back and remember this comment.
by wizardforhire | 2025-08-11 03:24:06+00:00
I just had this great idea reading this proposed law and the comments and concerns there of… here me out

Lets just put everybody in the world in prison except for the people with net worths over some unattainable threshold… perhaps a hundred thousand dollars. Then we’ll just make everyone work for and take all of it for ourselves. That way we cam destroy their cultures and the genetic lineages and we can just kill all the people we dont like dont agree with especially if theyre skin color is one we dont agree with. The world will be a better place because the clearly superior people will be on top. We can breed the rest of humans and just eat them. We’ll call them eloi and we’ll be the morlocks.
by lossolo | 2025-08-11 03:24:25+00:00
"Always" is overstated. Populations have been reshaped before (e.g. farmers absorbing foragers in Europe, steppe migrations, Arabization of North Africa, the Americas after 1492 etc). So turnover isn’t new, but this mechanism is different. This pattern stems more from our system and choices (schooling, careers, costs, contraception, culture etc) than from violence/war, disease, forced moves, so in that sense it’s self driven, and historically unusual.
by thedevilslawyer | 2025-08-11 03:24:46+00:00
I'll take the opposite side of the comments and the body of cynical people here.

It absolutely matters to care about the problem you're solving. A team of people with a skill level of X that cares about a problem will be better in both performance and in general culture and being around than a team with a skill level of 2X that consists of mercenaries.

I learned it the hard way. When I was asked to set up a team of 14-16 engineers, I first went the latter way. The interviewing was difficult and the bar was higher, but the people who were there were focused on what they could get out of the role. Circumstances led to a reset, and the second time around, I built a team that optimized for caring about the problem. I started with the two people I liked working with in the initial group because they liked the problem statement. I had to lower the computer science performance bar to build the team to size. I also had a budget left over for other purposes, as we didn't need to pay for 2X performance, and the team was heavier with younger folks.

We delivered the goals in three months. More importantly, working with people who have a shared purpose, rather than "getting mine," is just a better place to be. I had to spend time skilling up some people, but they did it in a month!

Since then, I've always optimized for being around "mission-driven" people, rather than "mercenaries." Sometimes you need that 5X skill set, in which case a limited-time contractual helper is probably better, but the team has a soul.
Ask HN: What's Your Take on Perplexity AI?
by zyruh | 2025-08-11 03:25:55+00:00
Perplexity has been growing fast as an AI search tool, blending conversational answers with cited sources and real-time web data. I’m curious how the HN community sees it:

Do you use it regularly, and if so, what makes it stand out from other LLMs or search engines?

How do you feel about the quality, speed, and trustworthiness of its answers?

Are there any drawbacks, limitations, or dealbreakers you’ve noticed?

Interested to hear both positive and critical perspectives—especially from people who’ve tried it alongside tools like ChatGPT, Claude, or Kagi.
by strogonoff | 2025-08-11 03:26:43+00:00
My encounter with low frequency noise was just a high speed lift audible from the flat, but it made me realize I strictly want to avoid this in future. The lower you go, the more unsuppressable[0] the sound gets, and at some point you start feeling more than hearing it.

[0] You need material as thick as the wave is long, although allegedly there have been papers investigating the use of metamaterials that are much thinner—presumably for military use by subs—there is nothing commercially available yet.
Show HN: We are fixing memories for AI Teams
by harshdoesdev | 2025-08-11 03:26:57+00:00
Hi HN!

We built SuperContext because we got tired of re-explaining our codebases to AI tools every single time. Now our whole team can jump between Claude Code, Cursor, and Windsurf without losing context.

It's open source and uses MCP to connect with your existing tools. Would love to hear what you think!
by sugarpimpdorsey | 2025-08-11 03:29:02+00:00
What a deranged rant.

I actually felt sorry for them until half-way through when they pivoted into throwing shade on Anubis, an open-source DDoS protection WAF, that could probably help them solve their problem, by literally calling it malware.

I think they're just upset it's MIT-licensed and not GPL.

Apparently, all proof-of-work challenges are malware according to them, because they make your computer run code or something against your will. Though they helpfully pointed out it's "free JavaScript" and not "proprietary JavaScript". Whatever that means.

The FSF, perpetually stuck in 1997, is going to wither away into irrelevancy, and it's a sad thing.
by wglb | 2025-08-11 03:29:06+00:00
I don't think the analogy holds.

If one thinks of the history of programming, think about the IBM 1401. The first programming was done without the advantage of assembler. Once SPS was introduced, labels for locations were introduced, saving having to learn how to do this. Did one need to learn how to do it the old way to be a good programmer? Certainly not.

When Fortran and Cobol were invented, there were those that said you couldn't be a good programmer unless you first mastered machine language.

Mastering programming requires managing and overcoming complexity. Building the complex systems that we do today involves many levels of abstractions that few have mastered the totality of. Nor is it necessary. Unless you are Donald Knuth.

There was an exchange of opinions between Knuth and Dijkstra about the Goto following the letter titled "Goto Considered harmful". Knuth suggested that some of Dijkstra's later advice and opinions diverged from how Dijkstra himself had learned and practiced programming. I think this is a very common occurrence. We don't remember specifically how we learned to program, and recommend newcomers learn.

I think there are far more levels of abstractions in programming than are in music.
by serf | 2025-08-11 03:31:01+00:00
counterpoint :

I had a max x20 account for the past three months and hit limits just about every period that fell within working hours.

I finally cancelled it two days ago due to overspending-guilt/token-grinding guilt, and they shorted me my last day due to an error on their side regarding time zones.

It's really so dependent on your workloads. Conversations around token expenditure are wildly different from individual to individual,and workload to workload.

Dealing with codebases that require contextual reading due to a lack of training corpus (R/Go/Common Lisp, among others..) EAT context and tokens for breakfast.
by jxmorris12 | 2025-08-11 03:31:22+00:00
It seems to be an error with the classifier. Sorry everyone. I probably shouldn't have posted that graph; I knew it was buggy, I just thought that the Perl part might be interesting to people.

Here's a link to the model if you want to dive deeper: https://huggingface.co/philomath-1209/programming-language-i...
by AdieuToLogic | 2025-08-11 03:31:46+00:00
Your reproduction has a pulsating red background effect on the top 25% of the display in the imgur link.

Is there a reason why it does and the cited video does not?

EDIT:

I reviewed the original video again and noticed it, too, had a similar pulsating red background as the imgur link above had.

Difference being is the cited video's entire display pulsated red verses the imgur reproduction having only the top 25% pulsate. I cannot say whether this is significant or not .
by 972811 | 2025-08-11 03:34:04+00:00
this can definitely happen, and in weird ways too. i thought my neighbor was playing bass super loud at night, and it was reverberating loud enough in my home so that I couldn't even hear a movie in my living room. when I knocked on his door, I was surprised to hear almost nothing and he had just been cooking dinner with low volume music. he shifted his subwoofer about 3 feet (it wasn't even against the wall) and it completely solved the problem
by mediumdeviation | 2025-08-11 03:34:22+00:00
Please for goodness sake just read React's docs.

https://react.dev/learn

The new docs are very good, they address common questions most devs have, up to fairly complex cases. The "book" unsurprisingly reads like a expert beginner's take, and there are a decent number of poor or missing explanations and code that's not really best practice. It's also really verbose for things that React's own docs do a better job of explaining.
by strogonoff | 2025-08-11 03:34:33+00:00
I have been to concerts where if you stood in one part of the venue certain bass notes would turn music into a jumble.

However—since you mention getting out of your (presumably otherwise quiet?) house onto the street—I also encountered a phenomenon in which presence of subtle other noise (which in your case could be tree leaves rustling and so on, and in my case was a literal white noise machine) make a sound that in a completely quiet room would drive me insane significantly less of a problem. This is not to say “it is all in your head” because, well, how you perceive it is what matters at the end of the day.

Hopefully your bass player neighbour could understand and use headphones or practice at a different time.
by keeda | 2025-08-11 03:34:44+00:00
There are more studies out there, but here are a couple I know of offhand, showing a 25% to 55% boost.

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4945566

https://arxiv.org/abs/2302.06590

The METR study that you're likely talking about had a lot of nuances that don't get talked about, not to mention outright concerns e.g. this one participant revealed he had a pretty damning selection bias:

https://xcancel.com/ruben_bloom/status/1943536052037390531
by mlyle | 2025-08-11 03:35:08+00:00
> It is absolutely impossible that human assistants being given those tasks would use even remotely within the same order of magnitude the power that LLM’s use.

A human eats 2000 kilocalories of food per day.

Thus, sitting around for an hour to do a task takes 350kJ of food energy. Depending on what people eat, it's 350kJ to 7000kJ of fossil fuel energy in to get that much food energy. In the West, we eat a lot of meat, so expect the high end of this range.

The low end-- 350kJ-- is enough to answer 100-200 ChatGPT requests. It's generous, too, because humans also have an amortized share of sleep and non-working time, other energy inputs/uses to keep them alive, eat fancier food, use energy for recreation, drive to work, etc.

Shoot, just lighting their part of the room they sit in is probably 90kJ.

> I am not an anti-LLM’er here but having models that are this power hungry and this generalisable makes no sense economically in the long term. Why would the model that you use to build a command tool have to be able to produce poetry? You’re paying a premium for seldom used flexibility.

Modern Mixture-of-Experts (MoE) models don't activate the parameters/do the math related to poetry, but just light up a portion of the model that the router expects to be most useful.

Of course, we've found that broader training for LLMs increases their usefulness even on loosely related tasks.

> Either the power drain will have to come down, prices at the consumer margin significantly up

I think we all expect some mixture of these: LLM usefulness goes up, LLM cost goes up, LLM efficiency goes up.
by tomhow | 2025-08-11 03:36:33+00:00
Please stop this. We don't mind what your opinion is, but you need to express it in a way that avoids attacking other users and perpetuating flamewars. HN is for curious conversation. Pease read the guidelines and make an effort to observe them if you want to keep participating here.

https://news.ycombinator.com/newsguidelines.html