MurphyA/hacker-news huggingface dataset:
by larusso | 2025-12-28 09:56:35+00:00
I agree. The example with Nicotine intake having a somewhat positive effect on the children feels too wild at the money. Think of all the kids of the 60th and 70th. They must be immune to most toxins ;). Yes I take this example to the extreme. I also feel that this could maybe contradict what we learned from evolution theory. Why would it take so long for a given treat to establish itself. Maybe I mix too much into one bag after reading this one article.
by karel-3d | 2025-12-28 09:57:03+00:00
The app is not showing posts that don't contain a picture, but shows posts that do. So if you browse someone Mastodon account on Pixelfed, you will see just fraction of their posts.

https://ploum.net/2025-12-04-pixelfed-against-fediverse.html

I don't think it's important at all because nobody really uses Mastodon anyway; but it shows that doing decentralised software is hard, because each actor can just do whatever they want.
by ArcHound | 2025-12-28 09:57:06+00:00
To me the key point was:

> One way of looking at this is that we rediscovered that bureaucracy matters. Although some might chafe against procedures and checklists, they exist for a reason: providing a kind of institutional memory that helps employees avoid common screwups at work.

That's why we want machines in our systems - to eliminate human errors. That's why we implement strict verifiable processes - to minimize the risk of human errors when we need humans in the loop.

Having a machine making human errors is the exact opposite of what we want. How would we even fix this if the machines are trained on human input?
by loldot_ | 2025-12-28 09:57:58+00:00
I don’t know, it still feels like a productivity lottery to me. The simpler the task, the higher the odds of a big productivity gain, and it can be probably an order of magnitude quicker, especially if the output is very verbose, like frontend tends to be.

But I still haven’t dialed exactly what is too complicated for the LLM to handle (and that goalpost seems to still be moving, but slower now). Because it is almost always very close, I often end up trying to fix the prompt a few times before giving up and just doing it from scratch myself. I think in total the productivity gain for me is probably a lot less than 100%, but more than 0%.
by zkmon | 2025-12-28 09:58:14+00:00
This is like a video that I saw where a carpenter uses very high end equipment and skills to create a phone holder to be placed on a desk.

We ran out of real work and real problems.

Tech and machinery is far ahead of the needs of humanity. Yes, you can create and print a single page calendar or carve out a phone holder, but when you think of it's usage, you are not going to need it - YAGNI.
by gvurrdon | 2025-12-28 09:58:26+00:00
There has been very little change for me.
The one area where AI has been of use is for providing debugging suggestions in those circumstances when I am so short of ideas that I am contemplating posting a question on Stack Overflow. Only once has Chat GPT actually found a bug directly, but on a handful of occasions it has made suggestions which have yielded results when investigated further in traditional way (e.g. reading documentation).
Still, At least the AI actually does something rather than ignore me or scold me for the way I have posed my question.
by grim_io | 2025-12-28 09:58:36+00:00
I simply have more fun doing my job.

At work, many of my colleagues are too busy to collaborate and brainstorm with me, who enjoys it a lot and have a lot of energy for it.

They are classic 9to5 and that's fine, but I like software development and talking about it.

So instead of only doing it by myself, or tiring out my colleagues, I collaborate with AI.
by omnimus | 2025-12-28 09:59:06+00:00
This. LLMs are good at stuff that is very general (is often in the dataset). What i gain most from LLM is when i use it to teach me - like extended documentation.

But to make unique solutions you will get pretty random results and worse you are not building understanding and domain knowledge of your program.

Claude Code sounds cool until it makes 3 changes at once 2 of which you are unsure if they are required or if they wont't break something else.
by grumbel | 2025-12-28 09:59:25+00:00
When it comes to small focused OSS tools, you can basically code them at the speed of thought with modern LLMs. The slow part is figuring out what you want to do in the first place, the implementing is basically instantaneous. It's literally faster than googling a tool that already does the job.

And yes, that doesn't scale to all problem domains or problem sizes, but in some areas even a 20x speedup would be a huge understatement.
by shubhamjain | 2025-12-28 09:59:29+00:00
Looking at that list, the top three companies are essentially about building apps without writing code. The next one is about helping developers write code. Perplexity is the only real outlier, and even that not by much. I am by no means an AI pessimist, but I can't help think where are all the awesome companies in other sectors that this technology is supposed to unlock.

I understand that many industries will take years to adopt. Fine. But about sub-sectors in tech—gaming, design, data? What is happening beyond "make software development slightly easier"? Is it because ChatGPT like apps are enough for most people?
by UqWBcuFx6NV4r | 2025-12-28 10:00:32+00:00
You are attributing a general trend to a particular language community. I also believe that you are unjustifiably unfairly interpreting “default license” just because you disagree with what they think the “default license” is. We all know what is means by this. It just sounds like you think it should be something GPL
by jasode | 2025-12-28 10:00:45+00:00
The submitted title is missing the salient keyword "finally" that motivates the blog post. The actual subtitle is: "C++ says “We have try…finally at home.”"

It's a snowclone based on the meme "Mom, can we get <X. We have <X> at home." : https://www.google.com/search?q=%22we+have+x+at+home%22+meme

In other words, "We already have C++ feature of 'finally' at home in the refrigerator and it's called 'destructor'"
by miki123211 | 2025-12-28 10:00:53+00:00
Large parts of Chrome are actually GPL AFAIK, which is one reason both Apple and Google made it open source in the first place.

> chrome is what everybody uses because google has lock-in power.

Incorrect. At least on Windows, Chrome is not the default browser, it is the browser that most users explicitly choose to install, despite Microsoft's many suggestions to the contrary.

This is what most pro-antitrust arguments miss. Even when consumers have to go out of their way to pick Google, they still do. To me, this indicates that Google is what people actually want, but that's an inconvenient fact which doesn't fit the prevailing political narrative.

> so that websites only get rendered well if they use certain APIs, so now competitors to Chrome are forced to implement those APIs, but those aren't public.

What is a Chrome API that web developers could possibly implement but that "isn't public?" What would that even mean in this context?

> google says "oh I'm going to disallow you running the extensions you like, so we can show you more ads".

And that could have happened just as well if Chrome was 100% open source and GPL.

Even if you accept the claim that Manifest V3's primary purpose was not increasing user security at face value (and that's a tenuous claim at best), it was perfectly possible for all third-party browsers (notably including Edge, which has 0 dependency on Google's money) to fork Chromium in a way that kept old extensions working. However, open source does not mean that features will magically appear in your software. If Google is the primary maintainer and Google wishes to remove some feature, maintaining that feature in your fork requires upkeep, upkeep that most Chromium forkers were apparently unwilling to provide. This has nothing to do with whether Chrome is open source or not.
by int_19h | 2025-12-28 10:01:48+00:00
Palantir indeed has a lot of clients, but governments - and in particular, US federal agencies - are still the biggest and most lucrative customers. Nor is Palantir blind to what those customers are using the tech for - indeed, their whole point is "deploying" people to customer's premises so that they can work hands on. So when they do that for the ICE contract, say, they know full well what they are optimizing - proudly so. It's way more close and personal than what most of the big tech firms do (although you did list some exceptions).

But no, it's not illegal to provide panopticon-as-a-service to authoritarian governments, unfortunately. Especially not when you ask said governments.

As to what you can do to change this, I honestly don't know, and I say this as someone who resigned from NVIDIA recently because of this: https://nvidianews.nvidia.com/news/nvidia-palantir-ai-enterp... - but there's no shortage of people willing to work on this stuff. And in US at least I feel big tech enmeshed with the feds have such a strong lobby, neither major party is going to do anything useful about it in terms of passing laws making the business model itself illegal.
by rspoerri | 2025-12-28 10:02:14+00:00
It changed my ability to create something in the evenings where i would normally be to tired to work on a project. Also it changed my work to be a frontend designer/tester instead of programming, i was able to iterate on ideas much faster and create a much more usable product. But getting the code to work flawless is a pain and it makes me clean up and re-test tons of times.

I am working on this: https://github.com/ludos1978/ludos-vscode-markdown-kanban
by PaulRobinson | 2025-12-28 10:02:19+00:00
Incremental gains in output seem to - so far - require exponential gains in input. This is not fine.

Water is a concern in huge parts of the World, as is energy consumption.

And if the big sink is “just” in training, why is there so much money being thrown at inference capacity?

I thought it was mad when I read that Bitcoin uses more energy than the country of Austria, but knowing AI inference using more energy than all the homes in the USA is so, so, so much worse given the quality of the outputs are so mediocre.
by testdelacc1 | 2025-12-28 10:02:20+00:00
I didn’t make a personal attack on anyone, although you did to me.

Me calling out a sock puppet account (0 karma, created minutes before) is not the same as you saying that high karma accounts need to have their opinions respected simply because they are high karma. Coincidentally, I notice your account is very high karma.

You’re acting extraordinarily offended, like I’ve committed some major transgression here. I haven’t. I’ve re-read my comments and they’re frankly milquetoast.
by threethirtytwo | 2025-12-28 10:02:21+00:00
Like other people replying to you C++ and Java gave types a bad rep by being so error prone and having a weak type system.

What I am saying is not untrue. It is definitive. Java just has a broken type system and it has warped your view. The article is more talking about type systems from functional programming languages where type errors are literally impossible.

You should check out elm. It’s one of the few languages (that is not a toy language and is deployed to production) where the type system is so strong that run time errors are impossible. You cannot crash an elm program because the type system doesn’t allow it. If you used that or Haskell for a while in a non trivial way it will give you deeper insight into why types matter.

> Ruby is so safe in it's execution model that Syntax Errors don't invalidate the running program's soundness.

This isn’t safety. Safety is when the program doesn’t even run or compile with a syntax error. Imagine if programs with syntax errors still tried their best effort to run… now you have a program with unknown behavior because who knows what that program did with the syntax error? Did it ignore it? Did it try to correct it? Now imagine that ruby program controlling a plane. That’s not safe.
Show HN: TitleTuner – Generate YouTube titles, scripts and tags from one idea
by DivyaraneshN | 2025-12-28 10:04:04+00:00
Hi HN,

I built TitleTuner after noticing that new YouTubers struggle more with what to make and how to title it than with editing.

TitleTuner starts from a single idea and helps with:
– Video idea angles
– Script outlines
– YouTube titles
– Relevant tags

It’s free and mainly built for beginners who want clarity before hitting record.

I’d really appreciate honest feedback on whether this is useful and what feels missing or unnecessary.

Thanks!
by cjk | 2025-12-28 10:04:17+00:00
Extremely context-dependent for me.

For boilerplate stuff like generating tests against a well-defined API, in a compiled language, maybe 2-3x. Far less in languages and frameworks like Ruby/Rails where the distance between generating the code and figuring out if it’s even valid or not is large.

Mechanical refactors that are hard to express via e.g. regex but easy in natural language: maybe 5x.

HTML and CSS, where I know exactly what I want and can clearly articulate it: 2-5x.

For anything architecture-y, off the beaten path, or where generating a substantial amount of code is required: near 0%. Often in the negatives.
by edimoldovan | 2025-12-28 10:04:30+00:00
I haven’t gained much productivity by using any of the LLMs, particularly not the recent ones as their thinking ability is nothing else than overthinking and overcomplicating everything.

What I really use LLMs for is to uncover what I should not do, and this is quite a strong win.

Overall, they are generally very bad at giving me anything useful for the things I build.
by IshKebab | 2025-12-28 10:05:33+00:00
As I understand it eBPF has also given up on that due to Spectre. As a result you need root to use it on most distros anyway, and the kernel devs aren't going to expand its use (some systems are stuck on cBPF).

So it's not like eBPF is secure and this isn't. They're both insecure in different ways.
by aspect0545 | 2025-12-28 10:05:37+00:00
What if it’s a small apartment, but the life is a significant albeit marginal improvement over life in a shelter? Would it make a difference if it were a shelter where animals are killed after a certain period without being adopted?

Please note that I’m on purpose phrasing this to be a bit contrarian. Not trying to rattle any cages (no pun intended), just found myself initially agreeing with you and then not being sure anymore.
by globular-toast | 2025-12-28 10:06:05+00:00
5-10% higher in the short term. Who knows in the long term?

I've implemented a few trivial things that I wouldn't have done before if I'd had to type them up by myself.

But the big things that actually take time? Collecting requirements, troubleshooting, planning, design, architecture, research, reading docs? If having basic literacy is 100, then I'd say having LLMs adds about 0.1, if that.
by lukan | 2025-12-28 10:06:38+00:00
If true, I suppose there is also a opportunity cost involved. Meaning selecting for better coping with nicotine, does not help selecting for smarter offspring and maybe even preventing that. So it might be somewhat positive but at a cost unknown.

Also there are the very known costs of nicotine damaging sperms, or of course being in literal smoke as a child (or adult) and deal with those real effects.
by QuadmasterXLII | 2025-12-28 10:06:41+00:00
At home pissing about- 5x faster. At work, I think actively slows me down. At first I thought the difference was that at work I needed something very precise, and I wasn’t good enough at prompting to deliver that precision. Now I think it’s that if I try to do a hobby project and the AI steamrolls over any prompting to do a slightly different worse hobby project, I’m way less likely to notice or resist because there’s no iron requirement of profit maintaining discipline.
by threethirtytwo | 2025-12-28 10:08:09+00:00
It is 100 percent inevitable. Your reasoning here is illogical.

How does a statically typed language rejecting a correct program affect reliability? The two concepts are orthogonal. You’re talking about flexibility of a language but the topic is on reliability.

Let me be clear… as long as a language is Turing complete you can get it to accomplish virtually any task. In a statically typed language you have less ways to accomplish the same task then a dynamically typed language; but both languages can accomplish virtually any task. By logic a dynamically typed language is categorically more flexible than a static one but it is also categorically less reliable.
by renegat0x0 | 2025-12-28 10:08:17+00:00
Don't care. I use my own domain index, which also contains youtube channels, which I use through RSS.

https://github.com/rumca-js/Internet-Places-Database

Most important links are available through a simple search

https://rumca-js.github.io/search

I have also RSS search

https://rumca-js.github.io/feeds
by gutafoki | 2025-12-28 10:08:24+00:00
I am surprised by all the answers saying 0 percent. I'd understand that if you use use it without any grounding or additional context. I am far faster with it, using one MCP server with docs and one for language specific features. If the code base is large enough, serena is a must have. I'd say about the same, groking an unknown code base is a lot faster, producing for something I am familiar with maybe 4-5x
by nosianu | 2025-12-28 10:09:40+00:00
IMO "just reporting what they see" is a solution at all. I tried looking at messages through that angle, and too often there is very important context that you need, or the message's content does not make sense, or becomes something different.

For example, we have plenty of "journalism" that reports exactly what some entity says. That just makes them a PR channel. If they added context that politician's or company's message's content's meaning would turn on its head and would be exposed as a lie.

Similarly, a lot of news would greatly benefit from larger context that just is not there, and that the vast majority of "consumers" of the news are simply not aware of, through no fault of their own.

"Just report what you see" IMHO is part of the problem, not the solution. It's trying to "solve" the reporting problem by removing most of the role of journalists because they are seen as unreliable, for good reasons, but I don't think that works at all. It is similar to trying to solve all problems by adding ever more rules for everything, to remove the uncertainty and unreliability of individual decisions.

This is just like at work, where the capital owners and bosses would love to replace all those pesky annoying opinionated humans with something more controllable and predictable. If the intelligence can be moved from the people into the process, the latter become replaceable and much cheaper, and the company gets much more control. But it is not just the owner class that does not like having to rely on and to deal with other humans.

I think the direction of development of the role of journalists has actually gone way too far in exactly the direction of them using less and less of their own brains, and having less influence and ability, for most messages, the very few deeper pieces notwithstanding.

Although, none of that will do anything as long as the news source owner structure is the way it is, with a few billionaires controlling most of the big news sources.
by myaccountonhn | 2025-12-28 10:10:42+00:00
I find doing more focused searches with bang patterns work well for me, I.E searching wikipedia, manpages, mdn etc directly. Sometimes coupled with LLM to more quickly understand the syntax because docs tend to be sparse with examples.

I still miss something for quickly finding random facts like "how long to boil an egg" but for programming the above works quite well.
by wkat4242 | 2025-12-28 10:11:25+00:00
> Second, there are possible paths to have a winnable nuclear war, actually, the US did have one a couple of decades ago and it won.

Well yeah because at that time they were the only one who had a nuclear bomb. That situation didn't last long.

I think it's really great that it's such a taboo, otherwise these things would be used a lot, incurring all sorts of pollution, mass casualties and chances to escalate. It's a good thing that these have not been used since WWII though I do think their existence as a deterrent has brought us a bit more peace.
by shafyy | 2025-12-28 10:11:50+00:00
I think what most people answering in this thread who are saying something like "10x" are missing is that this number does probably not apply to their overall productivity. Sure, some boilerplate task that took you 10 min of writing code now maybe takes 1 min. But I think people just take this number and then extrapolate it to their whole work day.

I mean if you everybody would be truly 10x more productive (and at the same output quality as before, obviously), this would mean that your company is now developing software 10 times faster as 2 years ago. And there's just no way that this is true across our industry. So something is off.

Caveats:

- Yes, I get that you can now vibe code a pet project on the weekend when you were just too tired before, but that's not really the question here, is it?

- Yes, if your whole job is just to write boilerplate code, and there's no collaboration with others involved, no business logic involved, etc., ok, maybe you are 10x more productive.
by user070223 | 2025-12-28 10:12:17+00:00
Thought Emporium entire channel is a goldmine

Here's another youtuber journey to fix the lactose intolerance by just eating lactose(powdered milk)("prebiotic") which had strains of a bacteria("probiotic" which feasts on the prebiotic) that breaks down lactose survives in the microbiome
https://www.youtube.com/watch?v=h90rEkbx95w
by athrowaway3z | 2025-12-28 10:14:26+00:00
> Big Monopolies have managed to convince people that they need one account on each platform. That brainwash/marketing is so deeply entrenched that most people cannot see an alternative anymore.

I get what is being said, but i disagree with the framing. The "brainwashing" happened in two stages, and the first stage is perfectly logical.

Most people don't want just 1 identity, and they want separate spaces for being different.

If you're already OK with having two accounts on BBS, what is 1 or 2 accounts more for thefacebook.com?
by anthonj | 2025-12-28 10:15:09+00:00
As other have have already said, this is highly context dependant but I want to bring some examples.

- It sometimes generate decent examples of linux kernel api usage for modules, which saves a lot of time digging in the limited documentation. But most of the time it will mix deprecated a new version of the api and it will very likely have very suboptimal and/buggy choices.

- for embedded C, it won't be able to work within the constraints of a very specific project (e.g. using obscure or custom hal), but for generic C or rtos applications it can generate between decent and half decent suggestions.

- almost never seen it generate decent verilog