MurphyA/hacker-news huggingface dataset:
by sshine | 2025-07-15 08:22:31+00:00
A few things that are here:

- LLMs - Cryptocurrencies - Mobile phones

Neither are going away, all are part of our future, but not equally.

The inevitabilism argument is that cryptocurrencies were just as hyped a few years ago as LLMs are now, and they're much less here now. So if you have an objection to LLMs being hyped and not wanting to use them, there's a real case they may slide into the background as a curious gimmick, like cryptocurrencies.

LLMs won't have the same fate as cryptocurrencies.

They're immediately useful to a lot of people, unlike cryptocurrencies.

More likely: When VC needs to capture back the money, and subscriptions go to their real level, we'll see 1) very expensive subscriptions for those who vibe, and 2) cheaper models filled with ads for the plebs, embedded into search engines, help desk software, and refrigerators.

LLMs do share one sad aspect with cryptocurrencies on account of being a hype: When the hype settles, because of economic reality, they'll feel shittier because we get the version we can afford: The LLM that replaces a human service worker whose effort was already at rock bottom. The cryptocurrency that resembles a slot machine.

In a utopia that wasn't run by VC money, taking any idea to an extreme for some sustainable reason other than a 10-year value capture plan, we might see some beautiful adoption into society.
by burnt-resistor | 2025-07-15 08:22:43+00:00
> It doesn't happen because building the best software is not the goal of a software engineering job.

You made a reductive, declarative, omniscient value judgement that is patently false. Managers just want to have the right buzzwords, the biggest budgets, and the coolest projects. (We won't point out that they have pointy hair.)
by 3036e4 | 2025-07-15 08:22:44+00:00
I bought the Apricot DVD (or was it a CDROM?) to support Blender, and I still have it somewhere. I think all the contents (assets) were also posted online later anyway. Game seemed more like a tech demo and it did not run very well at least on my computer back then.

Still like the old Blender UI, in some ways it felt less bloated and easier to use than the newer "friendlier" UI, but I am happy to hear they moved on to focus on Godot support instead of maintaining their own game engine.
by ohdeargodno | 2025-07-15 08:22:50+00:00
Dozens of years of kernel building, dozens of OSes, dozens of physical architectures, all having settled on minimum 4KB pages being a right balance between performance and memory usage, wiped away by a single offhand comment with no knowledge about the situation. Now that's HN.

Just the sheer TLB memory usage and performance implication of doing single byte pages would send CPU performance back to the stone age.
by pbhjpbhj | 2025-07-15 08:22:51+00:00
Segue - I've used Copilot a couple of times recently and in lots of code output it uses non-ASCII space characters in the code so when you copy-paste working code it still won't work. It's like a practical joke, designed to annoy ... I really can't understand why that would not be immediately fixed. It's very much what one expects of Microsoft, however. Utter insanity.
by tgma | 2025-07-15 08:23:17+00:00
What did the poster make up? There's one line where they speculated about future and a commentary about beef existing to this day which is subjective but the rest of it was 100% factual: Apple relied on Google for training their LLM for various reasons and they did have a beef with NVIDIA re MacBooks a long time ago after which they switched the entire line to AMD Graphics.
by geob01 | 2025-07-15 08:23:43+00:00
Location: EU, EEST Bucharest time zone

Remote: Yes

Willing to relocate: Possibly

Technologies:

C++ 17, Python 3, SOLID, TDD, Linux, REST APIs, Docker, Git, Protocols, Flask, Django

Résumé/CV: https://docs.google.com/document/d/1pnVituSV1qz0hFUMajTj38bi...

Email: (Check Résumé/CV)

About: Software engineer with expertise in C++, Python, and web technologies (14+ years of full time software development experience). Proven track record in designing, developing, and deploying scalable backend systems and embedded applications. Passionate about writing clean, efficient code. Language agnostic, open to multiple tech stacks.
by geob01 | 2025-07-15 08:24:14+00:00
SEEKING WORK

Location: EU, EEST Bucharest time zone

Remote: Yes

Willing to relocate: Possibly

Technologies:

C++ 17, Python 3, Linux, OOP, TDD, Jenkins

Résumé/CV: https://docs.google.com/document/d/1pnVituSV1qz0hFUMajTj38bi...

Email: (Check Résumé/CV)

About: Software engineer with expertise in C++, Python (14+ years of full time software development experience). Proven track record in designing, developing, and deploying scalable backend systems and embedded applications. Passionate about writing clean, efficient code. Language agnostic, open to multiple tech stacks.
by close04 | 2025-07-15 08:24:42+00:00
The Titanic was the largest ship at the time, "unsinkable", on its maiden voyage, carrying some of the richest people in the world, greatest maritime disaster at the time, still basically at #2 after more than a century, and the wreck lost for 70 years. The story is definitely more sensational and mysterious than other sinkings.
by keiferski | 2025-07-15 08:24:48+00:00
That isn’t the argument of the book, so I don’t think you actually read it, or even the Wikipedia page?

The rest of your comment doesn’t really seem related to my argument at all. I didn’t say technological process stops or slows down, I pointed out how the thought patterns are often the same across time, and the inability and unwillingness to recognize this is psychologically lazy, to over simplify. And there are indeed examples of technological acceleration or dispersal which was deliberately curtailed – especially with weapons.
by dragonwriter | 2025-07-15 08:25:39+00:00
> They have PA,

Kind of.

> and they have all their rights there as determined by the PA.

The PA doesn't administer Gaza (because of the civil war Israel actively facilitated, and because even though the parties came to an agreement on all-Palestine elections to resolve it, Israel has blocked them), and much of the West Bank (not just the Israeli settlements, but places where Palestinians live) is administered by Israel, not the PA.

And even the parts administered by the PA are subject to regular (and accelerated in the last couple years, with almost no international attention thanks to the focus on the part of the Israel-Palestine war taking place in Gaza) arbitrary violence by Israel, rendering "rights" determined by the PA moot in practice.
by eskibars | 2025-07-15 08:25:50+00:00
SPREAD | https://www.spread.ai/ | On-site (Germany) | Product Manager | Full Time

SPREAD is a software company built to help electromechanical companies (automotive, aerospace, defense) build their products better and faster by bringing together the different data they have into a single system.

We have several of the largest automotive OEMs as customers already and are looking to expand our low-code platform.

https://spread-gmbh.jobs.personio.de/job/456964?language=en&... has job details and you're welcome to email [shane] at our domain as well
by pjc50 | 2025-07-15 08:26:09+00:00
100% is an asymptotic goal, because someone still has to do the maintenance. But grain is probably closest, along with maize and soybeans. Staple crops, huge farms, single guy in a tractor, and the monotonous driving is already being automated away too. Leaving the role of the human to arguing with John Deere over right to repair.

Soft fruit is probably furthest away. That depends on huge armies of immigrant pickers.
by tuyiown | 2025-07-15 08:26:31+00:00
Inevitable, but for a very narrow specific use case irrelevant for most the humankind, hardly comparable to internet and the web.

It's pretty clear that there are many specific uses cases where LLMs shine. It's the path from general use (ask it anything) to unidentified specific use case (anything identified and addressed correctly) that is very unproven to happen without some kind of pre-existing expertise.
by Jensson | 2025-07-15 08:26:59+00:00
I code with mouse to move the cursor, and I coded fast enough to compete with the fastest in the world in competitive coding. So I don't think keyboard is significantly faster, if it were I wouldn't have been able to write solutions as fast as the fastest in the world did.

But I think its fair to say that its much easier to learn to use a mouse effectively than keyboard navigation, so most people are probably faster with a mouse.

I did try to use keyboard only editors, spend a lot of time on that, but I was always much faster with mouse cursor to navigate and rearrange or copy parts of the code.
by 082349872349872 | 2025-07-15 08:27:17+00:00
Sounds like a self-fulfilling prophecy to me: when zero-sum believers are in power, they tend to make the world less positive-sum, and when positive-sum believers are in power, they tend to make the world more positive-sum. (Thankfully, I don't live in a polity with an electorate attracted even to negative-sum believers.)

aside: speaking of https://news.ycombinator.com/item?id=44369612 , what do you think of the syntax-as-data in https://rhombus-lang.org ? (end of aside)
by nicbou | 2025-07-15 08:28:59+00:00
I feel the pain. Year on year traffic is down 43% for the website I live from. Everyone in the industry is suffering.

I had to make up for the loss by diverting attention from the mission to monetisation. I want to help people become German citizens, but instead I'm doing conversion rate optimization on a health insurance form. It's fortunately a feature that benefits my users, but it's not the one I meant to work on.

I will survive just fine, but a lot of websites people love will disappear. Those that remain might feel a pressure to charge for their content, or monetise in unpleasant ways.

The worst part is that I'm still expected to feed those AIs content. They're not replacing me, but forcefully inserting themselves between me and my audience. They're killing the web that feeds them in a short-term bid for supremacy.

To add insult to injury, I see ChatGPT visitors to pages that don't exist, hallucinated sources. They're using my name to give their lies the appearance of credibility.
by dond1986 | 2025-07-15 08:29:39+00:00
Grow a Garden Calculator is an essential tool for Roblox’s "Grow a Garden" players, providing accurate real-time calculations of plant values, mutations, and friend boosts to help you optimize your planting and trading strategies; excitingly, a new Chrome extension launched on July 11 brings instant overlay calculations, customizable themes, and more powerful features to boost your gardening profits! https://growagardencalculators.net/
by Permik | 2025-07-15 08:30:15+00:00
I'm no physicist but what I've learned on the internet through osmosis, I'd wager that black holes aren't spherical per-se, but they appear sphere-like to us dimensionally challenged beings. It's more like a manifold (mobius-gate? not a mobius surface), that changes your spatial directions to parallel temporal directions to spatial ones all leading to the singularity.
by stiray | 2025-07-15 08:30:26+00:00
Are you sure, that the code works correctly? ;)

Now, imagine, what you would do, if you never learned to read the code.

As you were always using only AI.

Anyway, coding is much simpler and easier than reading someone else's code. And I rather code it myself than spend time to actually read and study what AI has outputted. As at the end, I need to know that code works.

---

At one point, my former boss was explaining to me, how they were hired by some plane making company, to improve their firmware for controlling rear flaps. They have found some float problem and were flying to meeting, to explain what the issue was. (edit:) While flying, they figured out that they are flying with plane having that exact firmware.
by zargon | 2025-07-15 08:30:35+00:00
Obviously I don't mean literally zero compute. The amount of compute needed scales with the number of parameters, but I have yet to use a model that has so many parameters that token generation becomes compute bound. (Up to 104B for dense models.) During token generation most of the time is spent idle waiting for weights to transfer from memory. The processor is bored out of its mind waiting for more data. Memory bandwidth is the bottleneck.
Show HN: Notsc – A CLI to Scaffold Node.js and TypeScript API Projects
by cedricahenkorah | 2025-07-15 08:30:52+00:00
Hi HN,

Last year, I wrote a blog post on setting up a Node.js backend project with TypeScript support. This seemed like a good reference for me at that time and also I could share it with anyone else who may find it helpful. You can read the initial post here: https://cahenkorah.vercel.app/posts/automating-my-nodejs-set...

I built a CLI tool - Notsc (https://www.npmjs.com/package/notsc), over the weekend to automate that whole process and make it simpler. It scaffolds a ready-to-go Node.js + TypeScript API project with optional support for: Database setup, Swagger/OpenAPI docs, Redis, Jest testing, Docker etc. Already at 197+ downloads on NPM.

You can install it globally with: npm install -g notsc

and then run it and follow the prompts that follow: notsc

It's open source and I'd welcome feedback, ideas, and contributions. I also wrote a little blog post on why I built this and how it can be useful, you can read that too here: https://cahenkorah.vercel.app/posts/automating-my-nodejs-set...

NPM: https://www.npmjs.com/package/notsc GITHUB: https://github.com/cedricahenkorah/notsc BLOG: https://cahenkorah.vercel.app/
by moffkalast | 2025-07-15 08:32:12+00:00
ML models have the good property of only requiring investment once and can then be used till the end of history or until something better replaces them.

Granted the initial investment is immense, and the results are not guaranteed which makes it risky, but it's like building a dam or a bridge. Being in the age where bridge technology evolves massively on a weekly basis is a recipe for being wasteful if you keep starting a new megaproject every other month though. The R&D phase for just about anything always results in a lot of waste. The Apollo programme wasn't profitable either, but without it we wouldn't have the knowledge for modern launch vehicles to be either. Or to even exist.

I'm pretty sure one day we'll have an LLM/LMM/VLA/etc. that's so good that pretraining a new one will seem pointless, and that'll finally be the time we get to (as a society) reap the benefits of our collective investment in the tech. The profitability of a single technology demonstrator model (which is what all current models are) is immaterial from that standpoint.
by ben_w | 2025-07-15 08:32:36+00:00
While I'd agree with your first line:

> The problem with LLM is when they're used for creativity or for thinking.

And while I also agree that it's currently closer to "AI is the new VBA" because of the current domain in which consumer AI* is most useful.

Despite that, I'd also aver that being useful in simply "many" contexts will make AI "the new electricity”. Electricity itself is (or recently was) only about 15% of global primary power, about 3 TW out of about 20 TW: https://en.wikipedia.org/wiki/World_energy_supply_and_consum...

Are LLMs 15% of all labour? Not just coding, but overall? No. The economic impact would be directly noticeable if it was that much.

Currently though, I agree. New VBA. Or new smartphone, in that we ~all have and use them, while society as a whole simultaneously cringes a bit at this.

* Narrower AI such as AlphaFold etc. would, in this analogy, be more like a Steam Age factory which had a massive custom steam engine in the middle distributing motive power to the equipment directly: it's fine at what it does, but you have to make it specifically for your goal and can't easily adapt it for something else later.
by ineedaj0b | 2025-07-15 08:34:17+00:00
i know this is a very political thing now but i've had friends (smart phd people who work industry) very annoyed at the fda for many years, and maybe this collapse is good!

the fda started with a noble mission but they've been getting heavy handed. or better cliched - slow handed with getting things certified.

you can solve this one or two ways: drop regulation or increase staffing.

so many institutions have unnecessary fluff, tremendous red tape (why do i need environmental review to stick a shed in my backyard??), our modern lives have too much regulation.

let's hope for the best.

the old system is holding back drugs.. there should have been more ozempics, more breakthroughs had the fda not been so slow. companies have a strong incentive not release bad drugs now.. lawyers are not cheap and law firms know money can be made.. it's not the 1930s anymore.. (okay it's still the 1930s in certain places of the world, that's a criticism)

typing this out hoping to convince any regulation reduction is good reduction, i thought of a third fda option: the fda let's everyone go hog wild initially but looks at the top consumed products and checks them for safety and efficacy each year.
by ivell | 2025-07-15 08:35:16+00:00
I think the main concern is about the capacity to handle that many tourists. As the population increases and general prosperity increases, amount of tourists will correspondingly increase. There are not that many tourist spots for a given location and causes overrun. There need to be some throttling function. Probably increase the cost/tax, or reduce the visas. Or increase the ability to handle so many tourists. I don't know how this can be done. May be better infrastructure and new places of interests.
by TeMPOraL | 2025-07-15 08:37:20+00:00
> I have seen people conduct business that doesn’t enshittify. Though rare, it is not an universal trait for conducting business.

Exception that proves some markets are still inefficient enough to allow people of good conscience to thrive. Doesn't change the overall trajectory.

> The process of creating the AIs require mobilizing vast amount of energy, capital, and time. It is a product of capital with the expectation of locking down future markets.

So are computers themselves. However free and open the web once was, or could've been, hardware was always capital-heavy, and it only got heavier with time. Cheap, ubiquitous computers and TSMC are two sides of the same coin.

> It is not orthogonal to enshittification.

That's, again, because business begets enshittification; it's one of those failure modes that are hard to avoid.

> Small web was still a thing through the 90s and early ‘00s. Web servers were not so concentrated as they are with hardware capable of running AI, let alone training them.

You can "run AI" on your own computer if you like. I hear Apple Silicon is good for LLMs this time of year. A consumer-grade GPU is more than enough to satisfy your amateur and professional image generation needs too; grab ComfyUI from GitHub and a Stable Diffusion checkpoint from HuggingFace, and you're in business; hell, you're actually close to bleeding edge and have a shot at contributing to SOTA if you're so inclined.

Of course, your local quantized Llama is not going to be as good as ChatGPT o3 - but that's just economies at scale at play. Much like with the web - most of it is concentrated, but some still find reasons to run servers themselves.
by mounir-portia | 2025-07-15 08:39:37+00:00
Shots fired hey :D We've been on Github since March actually and have a handful of design partners who do love the SDK so it wasn't hard to ask them to support our re-launch esp as the MCP feature release has been very useful for them. We delayed the announcement on here until now to try and polish the product a bit more first. Appreciate the spice though. Hope you're as gifted at finding bugs in our SDK hehe
by tfourb | 2025-07-15 08:39:43+00:00
It all depends ob your assumptions, i.e. the actual effects of climate change on extreme weather events, the capacity of various polities to adapt to these effects and how you would define "climate change related deaths" and the timeframe you are looking at.

Direct fatalities from weather related natural disasters (droughts, floods, storms, etc) between 2005 and 2024 worldwide are estimated somewhere around 200.000 people, so about 10.000 deaths per year [0].

If you assume (just for the sake of the argument) that climate change will increase this death toll by 10% every year for 100 years, direct deaths from natural disasters caused by climate change alone will amount to close to 140.000.000 deaths over that time period.

Add to this indirect deaths, i.e. premature deaths due to insufficient nutrition during childhood caused by drought, disease spread by floods, etc. etc.

And because the effects of climate change are mostly political in nature, you'll have to make some assumptions about that, too. Sea level rise will affect (as in inundate their current homes at least once a year) more than 600 million people by the year 2100 [1]. Many of these peoples will be displaced and depending on the political and economic capacity of their societies to cope with this displacement, this alone could result in millions of deaths.

Climate change is also a contributor to general political instability and the risk of both civil and nation state war. How do you account for those deaths?

In summary, the death toll of climate change can inherently not be known. But if you look at the next hundred years, I doubt you can assume a number of less than in the hundreds of millions, if we assume climate change effects based on current estimates of "status quo" emissions. Which makes emission reductions essential, because there is a literal connection between an additional ton of CO2 in the atmosphere and an increase in the number of deaths.

[0] https://ourworldindata.org/grapher/number-of-deaths-from-nat... [1] https://www.nature.com/articles/s41467-019-12808-z
by moffkalast | 2025-07-15 08:39:45+00:00
Well there are like 500 nuclear powerplants online today supplying 10% of the world's power, so it wasn't too far off. Granted it's not the Mr. Fusion in every car as they imagined it back then. We probably also won't have ASI taking over the world like some kind of vengeful comic book villain as people imagine it today.
by fouc | 2025-07-15 08:40:01+00:00
The concept of using virtual machines was popular in the 1960s and 1970s in both the computing industry and academic research. In these early days of comput- ing, virtual machine monitors (VMMs) allowed multiple users, each running their own single-user operating system instance, to share the same costly mainframe hardware [Goldberg 1974]. Virtual machines lost popularity with the increased sophistication of multi-user operating systems, the rapid drop in hardware cost, and the corresponding proliferation of computers. By the 1980s, the industry had lost interest in virtualization and new computer architectures developed in the 1980s and 1990s did not include the necessary architectural support for virtualization. In our research work on system software for scalable multiprocessors, we discov- ered that using virtual machine monitors could solve, simply and elegantly, a number of hard system software problems by innovating in a layer below existing operating systems. The key observation from our Disco work [Bugnion et al. 1997] was that, while the high complexity of modern operating systems made innovation difficult, the relative simplicity of a virtual machine monitor and its position in the software stack provided a powerful foothold to address limitations of operating systems.