MurphyA/hacker-news huggingface dataset:
by fifticon | 2025-06-03 09:25:47+00:00
An interesting but flawed article I encountered on lobste.rs.

I agree with and recognise its premise - that SO started to feel hostile and decline, before AI "attacked" it. Maybe the article isn't flawed; maybe it just doesn't match my personal expectations/wishes: I would have expected more details on how the late self/auto-moderation reputation game damaged SO. Instead, the article fades out waxing poetically on how developers long for 'authentic community' where we help each other. Put differently, it appeared to promise it would deliver on the flawed reputation game.

Instead, I'll put in my personal anecdotal experiences of this as an SO user. I am an 'average' SO user, doing a mix of the three 'passive consumption', 'asking questions', and occasionally answering or commenting on questions I have trench-warfare experience on / 'been there too, did this'. My SO experience as the years progressed, is that more and more my attempts at relevant contributions would be flagged/killed/removed on spurious judgements and vague-unclear justifications.

The actions reeked of being motivated by "if I moderate/remove N items, I meet my quota", instead of being grounded in valid concern. And of being based on literal interpretations instead of intent ("TECHNICALLY, it is possible to flag this contribution according to rule #237, and since it earns me a cookie point, I'll do it because nothing stops me").

The original intent behind that entire system was to ensure quality contributions. But the actual effect of it being applied this way, just conditioned me to not be bothered to add contributions, with the feeling that at best I would get hassle to be able to contribute, and that instead I was producing dead-in-the-water cannon-fodder for a reputation-farming moderator.

I had hoped the featured article would shed some more light on this, but it never really dug into the subject, just referred to it as accepted fact.
by wizzwizz4 | 2025-06-03 09:25:54+00:00
The transformer architecture was originally developed for translation tasks, but massive, overfit generative models are awful at translation. (Seriously, part-of-speech classification + dictionary lookup + grammar mapping – an incredibly simplistic system with performance measurable in chapters per second – does a better job, and you even get confidence intervals.) If you want a translation tool, use something like Project Bergamot (https://browser.mt/), not generative AI.

> Unfortunately, so much of the humanities in high school is treated as an exercise rather than real discovery.

I, too, find this exceptionally annoying.
by boxed | 2025-06-03 09:26:22+00:00
> Higher level components [like] tables

But look at the code for a table: https://monsterui.answer.ai/api_ref/docs_tables

It's just exactly the HTML but written weirdly in Python. This isn't higher level, this is the exact same abstraction level as HTML already gives you!

I am so frustrated with this stuff. I developed an ACTUAL higher level abstraction for tables in iommi (https://docs.iommi.rocks/tables.html) and it boils my blood when people call this stuff "higher level". It's not. Not even close.
by littlestymaar | 2025-06-03 09:26:24+00:00
There's only so much information an individual can gather efficiently. If you just rely on your portfolio being as loosely correlated as possible, you are just passively investing.

If you want to actively invest, you need to spend a lot of energy understanding the business and industry of the company you are investing in. (And that's actually the theory behind EMH, that in aggregate the market makers have access to all available information, because they all spend a lot of efforts gathering that info. And the underlying theory is correct, EMH is just failing on the game theory part: nobody would bother spend energy to gather that info and make decision out of it if the market was already doing that perfectly).
by rvnx | 2025-06-03 09:27:05+00:00
Claude 4 Opus:

> Venice, Italy does not appear to have a Japanese twin city or sister city. While several Japanese cities have earned the nickname "Venice of Japan" for their canal systems or waterfront architecture, there is no formal sister city relationship between Venice and any Japanese city that I could find in the available information

I think GPT-4o got it wrong in your case because it searched Bing, and then read only fragments of the page ( https://en.wikipedia.org/wiki/List_of_twin_towns_and_sister_... ) to save costs for processing "large" context
by voidUpdate | 2025-06-03 09:27:12+00:00
If the police ever ask me to take a lie detector test, I'm just going to refuse, because I'm a nervous person in general and it'll give a load of crap results that will be used against me.

Do pill bottles in America not have a tamper seal under the lid? All of them do here in the UK, and if it was missing, I'd be concerned. Alternatively, those little foil packet things
by robertlagrant | 2025-06-03 09:27:24+00:00
> So imagine a pipeline that takes in encrypted text and the first “filter” decrypts the text, the second takes the decrypted text and strips away the beginning and the end, the third takes its input and sends it in an email. From a programmers perspective, we might think of these inputs and outputs as the “same” because they are text, however, in meaning, they are very different.

I've only got this far and thought it was interesting. Firstly because I think it's partly wrong; a programmer definitely doesn't think of encrypted data binary blobs as the same as text, but secondly because I do wonder if a subclass of a string type that is "has leading and trailing whitespace removed" might be quite an interesting way to model your data. The object could do the strips on construct.
by Timwi | 2025-06-03 09:27:30+00:00
I think you've listed several disparate incentives that should be looked at separately.

Economic incentives are what this thread is about. If those are removed, some instances of cheating will subside.

Reputational incentives are similar and harder to address, but they are also less strong because the cheating has a much higher chance to backfire. If you are found out, your economic benefits might continue, but your reputation is immediately damaged.

Singleplayer games are an entirely different situation. There's clearly no economic incentive here, and reputational incentive only applies if you are looking to share your singleplayer result with other people, in which case I could argue it's no longer singleplayer in the game theoretic sense. If it's not that, the only remaining motivation to cheat at something like Sudoku or a singleplayer videogame is to learn or at least satisfy an itch or curiosity, which I think is a perfectly legitimate motivation.
by lan321 | 2025-06-03 09:27:36+00:00
> your grandparents probably read for entertainment instead of tiktok

We still do? Tiktok/shorts are that on the toilet/in bed activity. I still spend I'd guess on average at least 8 hours a day reading. Not necessarily books but diverse articles, game guides, work stuff..

> your grandparents were more physically active - brain and body are connected

More physically active but not more active in skillful tasks. I've seen correlation between less/later dementia and things like playing musical instruments but I've not heard of construction workers being dementia resistant.

> your grandparents didn't eat ultra processed food because it hadn't been invented yet...once again, brain and body are connected

Mine ate whatever was available. Many unleavened flour+water flatbreads baked on the woodfire oven used for heating, rice and lots of lye in winter. Lots of fruits and veggies when available.

Now we mostly eat much better. You have every single fruit/vegetable/meat available 365 days a week, very clean food.. Only gotta stop yourself from overindulging.

We also have better medicine, better cleaning products, better understanding of what's toxic and bans based on that..
Show HN: Offloading GPU Workloads from Kubernetes to RunPod via Virtual Kubelet
by BSVogler | 2025-06-03 09:28:12+00:00
TL;DR: I built a virtual kubelet that lets Kubernetes offload GPU jobs to RunPod.io. Useful for burst scaling ML workloads without needing full-time cloud GPUs.

This project came out of a need while working on an internal ML-based SaaS (which didn't pan out). Initially, we used the RunPod API directly in the application, as RunPod had the most affordable GPU pricing at the time. But I also had a GPU server at home and wanted to run experiments even cheaper. Since I had good experiences with Kubernetes jobs (for CPU workloads), I installed k3s and made the home GPU node part of the cluster. The idea was simple: use the local GPU when possible, and burst to RunPod when needed. The app logic would stay clean. Kubernetes would handle the infrastructure decisions. Ideally, the same infra would scale from dev experiments to production workloads.

What Didn't Work My first attempt was a custom controller written in Go, monitoring jobs and scheduling them on RunPod. I avoided CRDs to stay compatible with the native Job API. Go was the natural choice given its strong Kubernetes ecosystem. The problem with the approach was that when overwriting pod values and creating virtual pods, this approach fought the Kubernetes scheduler constantly. Reconciliation with runpod and failed jobs lead to problems like loops. I also considered queuing stalled jobs and triggering scale-out logic, which increased the complexity further, but it became a mess. I wrote thousands of lines of Go and never got it stable.

What worked The proper way to do this is with the virtual kubelet. I used the CNCF sandbox project virtual-kubelet (https://github.com/virtual-kubelet/virtual-kubelet), which registers as a node in the cluster. Then the normal scheduler can use taints, tolerations, and node selectors to place pods. When a pod is placed on the virtual node, the controller provisions it using a third-party API, in this case, RunPod's.

Current Status It's source-available under a non-commercial license for now — I'd love to turn this into something sustainable.

I'm not affiliated with RunPod. I shared the project with RunPod, and their Head of Engineering reached out to discuss potential collaboration. We had an initial meeting, and there was interest in continuing the conversation. They asked to schedule a follow-up, but I didn't hear back to my follow ups. These things happen, people get busy or priorities shift. Regardless, I'm glad the project sparked interest and I'm open to revisiting it in the future.

Happy to answer questions or take feedback. Also open to contributors or potential use cases I haven't considered.
by ZaoLahma | 2025-06-03 09:28:33+00:00
It will not.

I'm an engineer through and through. I can ask an LLM to generate images just fine, but for a given target audience for a certain purpose? I would have no clue. None what so ever. Ask me to generate an image to use in advertisement for Nuka Cola, targeting tired parents? I genuinely have no idea of where to even start. I have absolutely no understanding of the advertisement domain, and I don't know what tired parents find visually pleasing, or what they would "vibe" with.

My feeble attempts would be absolute trash compared to a professional artist who uses AI to express their vision. The artist would be able to prompt so much more effectively and correct the things that they know from experience will not work.

It's the exact same as with coding with an AI - it will be trash unless you understand the hows and the whys.
by chris-orgmenta | 2025-06-03 09:28:46+00:00
Agree.

I suppose I should clarify that I am aware that the incident was from '82 and that LDTs are no longer admissible in many jurisdictions, and new legislation came in for tamper-proofing medicine which affected not just the US.

But regardless, argument being "things haven't moved on enough - lie detectors are still used in some places, people still misinterpret what they are, and our supply chain still only discourages, rather than prevents, mischief"
by Khelo | 2025-06-03 09:28:56+00:00
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by xyzzy123 | 2025-06-03 09:29:15+00:00
Metal engraving fairly accessible these days.

Fiber laser in 100W range would do it, maybe $10k?

You could do photochemical etching but would be more fuss and wouldn't last as long as a laser engraving.

Probably looking at order of 1gig/1000kg if using 1mm 316 plate (napkin math only, naive estimate). Interesting to explore.
by raxxorraxor | 2025-06-03 09:29:26+00:00
The better I am at solving a problem, the less I use AI assistants. I use them if I try a new language or framework.

Busy code I need to generate is difficult to do with AI too. Because then you need to formalize the necessary context for an AI assistant, which is exhausting with an unsure result. So perhaps it is just simpler to write it yourself quickly.

I understand comments being negative, because there is so much AI hype without having to many practical applications yet. Or at least good practical applications. Some of that hype is justified, some of it is not. I enjoyed the image/video/audio synthesis hype more tbh.

Test cases are quite helpful and comments are decent too. But often prompting is more complex than programming something. And you can never be sure if any answer is usable.
Show HN: SocialHQ – An AI Ghostwriter for LinkedIn for Founders
by amanchanda | 2025-06-03 09:29:34+00:00
Building a founder brand in 2025 is really important. But it is hard to be consistent on LinkedIn and most of the times we don't know what to write about.

I started my founder brand journey in 2023 and did it in patches. I tried a few AI tools to write content for me, but I hated the output. They didn't capture what I wanted to write or the tone of my voice. They pushed cringe templates that I didn't want to use.

I built a tool for myself and shared it with a few others in my network. They liked it and now I am opening it up for others.

Please check out and give me feedback on the website, messaging, and the product (currently invite only - please request through the waitlist and put HN as the source. I will send you the invites)

Thanks a ton!
by otabdeveloper4 | 2025-06-03 09:30:10+00:00
> Still saves a lot of time vs typing everything from scratch

No it doesn't. Typing speed is never the bottleneck for an expert.

As an offline database of Google-tier knowledge, LLM's are useful. Though current LLM tech is half-baked, we need:

a) Cheap commodity hardware for running your own models locally. (And by "locally" I mean separate dedicated devices, not something that fights over your desktop's or laptop's resources.)

b) Standard bulletproof ways to fine-tune models on your own data. (Inference is already there mostly with things like llama.cpp, finetuning isn't.)
by GenshoTikamura | 2025-06-03 09:30:20+00:00
So, programmers once had an edge in having their source closed, then fell for the open source evangelism and started sharing their code, which enabled the training of AI models, and now the next iteration of what was called programmers before and is now known as vibe coders has this notion of having an edge in having their chatbot prompts closed again?

Let's all just muse some and imagine what the next cycle of this wheel will look like.
by sinisamikulic | 2025-06-03 09:32:21+00:00
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by fennecbutt | 2025-06-03 09:32:32+00:00
>bread-and-butter replacement-tier

How is creative expression required for such things?

Also, I believe that we're just monkey meat bags and not magical beings and so the whole human creativity thing can easily be reproduced with enough data + a sprinkle of randomness. This is why you see trends in supposedly thought provoking art across many artists.

Artists draw from imagination which is drawn from lived experience and most humans have roughly the same lives on average, cultural/country barriers probably produce more of a difference.

Many of the flourishes any artist may use in their work is also likely used by many other artists.

If I commission "draw a mad scientist, use creative license" from several human artists I'm telling you now that they'll all mostly look the same.
by DmitryOlshansky | 2025-06-03 09:32:40+00:00
I remember how I caught the silver train in Cartahena, most of my pirates didn’t survive the onslaught. So when the time came to divide the plunder each pirate would get ~ -16000 gold, I immediately recognized that was 16-bit wrap around. Sadly nobody wanted me to leed the next journey so I retired as a freaking rich pirate.
by lazide | 2025-06-03 09:33:05+00:00
That didn’t start to become common until the early/mid 80’s.

Did it exist a little? Of course. But it was dwarfed by the other stuff going on. I suspect your (and a lot of other HN) experience is going to bias on the hobbiest side though, as does mine. I only found out about the much larger stuff going on at the same time much later.

Almost all the early networking stuff (UUCP, pre-Internet internet like Arpanet, early Usenet, Gopher, even HTML and the WWW, etc) was academic institutions or related.

Often with military grants/contracts. Sometimes with purely commercial contracts, but even those were almost always for some Gov’t project. The amount of work on basics like sorting algorithms that grew out gov’t research is mind boggling, for instance.

There is a lot of well documented history on this.

Then PCs and halfway decent modems became available (2400 baud+), and things changed very rapidly.

Mid 80’s, BBS’s started sprouting like weeds. There were a few before then, but the truly hobbiest ones were very niche.

Then even more so with commercial services like Prodigy, then AOL, then actual ISPs, etc.
by al_borland | 2025-06-03 09:33:14+00:00
While still knowledge work, when I started my career I was working as a sys admin in a data center. It required 24x7x365 support. No one worked 5 days. All weekday shifts were 4x10. All weekend shifts were 3x12.

It doesn’t get to a 32 hour week, but it does still give a 3 or 4 day working week. I don’t see why this wouldn’t work for other support or customer facing roles.

Many types of businesses are closed on random weekdays, Monday is a popular day to be closed for businesses that operate on that weekend, and they seem to make it work. Ones I’ve called often have an answering service for those days.

Where I was at, on holidays we’d run a skeleton staff of 2 people to keep things going, with on-call if anything big happened.

I don’t think anything is special about 4 days, just baby steps. I personally think I was most productive on the 3x12 schedule. It let me hyper focus on work, and really have long stretches of deep work without interruption, while also giving me adequate time to rest and recover from that. I think I’d get much more done if I moved back to that, personally. Working 5x8, as I do now, isn’t that useful. Half the day is full of meetings, and as soon as I start to dig into something, the day is over. What should take a day ends up taking weeks.

I’m not necessarily looking to cut hours, but more to get more heads down working time, without working free OT. I actually found 4x10 to be the worst, 3x12 was the best, for me.
by otabdeveloper4 | 2025-06-03 09:34:42+00:00
> Has it become a legacy product, or are there still good reasons for using it in a new project in 2025?

We're in the process of migrating our legacy stuff to mongodb right now.

If you want a high-availability database solution that "just works" and is open then you don't have many other options.

(Postgress and Mysql don't have automatic failover and recovery.)
by deekshaaashaaa | 2025-06-03 09:35:02+00:00
Looks exciting. The vibe of the product is really cool, in line with AI tools. How do you ensure personalization of posts though? For most AI tools the buck stops at changing a few names here and there but we can still identify the AI (typical things like chatgpt's em dash, easygen leaves the same arrows everywhere)

just signed up for the waitlist!
by Dylan16807 | 2025-06-03 09:35:15+00:00
The article specifically says it's not talking about copilot, but talking about agents that verify the code compiles before they show it to you.

If it uses a function, then you can be sure that function is real.

Was this not clear? The explanation I'm paraphrasing is right in between the line Aurornis quoted and the line you quoted. Except for the crack at copilot that's up at the top.
by rootsudo | 2025-06-03 09:35:15+00:00
Which doesn’t make sense to me - no one is stopping you from taking two 400mg ibuprofen to make 800mg, etc.

I agree that 400mg is sensible dosage for one pill, but you buy a pill sheet of ten , you get 4000mg.

But what is the other solution just put everything being a prescription?

As for the lie detector test, in the USA it is federally required for sensitive jobs and roles - while it isn’t criminally admissible , denying one and having a bad PR team can spell public disaster but for sensitive top secret jobs, etc it is required 100%.
by 0xCE0 | 2025-06-03 09:37:04+00:00
The article is poorly written. No clear message, topics jumped weirdly, and the overall style is like written by teenager/intern trying to be as impressing as some professional.

But here's the thing with "GUIs/UIs/UXs whatever":

The best UI/UX is created by a domain professional, who knows why and how it serves as the best designed tool for that domain - a tool made by a professional for himself and/or for other professionals in the same domain.

This is why Bloomberg terminal UI/UX is like it is for finance professionals, as are DAWs for music professionals, as are CAD tools for EE/architects etc. They act as the right tool for the right job.

Coders, (figma) designers, and other "implementers" (including management and "product owners"!) has to understand the business domain in order to fully manifest their craftsmanship talent. It is very hard to start and/or iterate UI/UX design if the implementers are not personally using the tool in some professional domain, and therefore know what is right and cool design and what is not.
by jph00 | 2025-06-03 09:38:43+00:00
But that’s the point! It’s just html!

But since the direct 1:1 mapping to html returns a python object, you can build up rich component hierarchies using plain python, mapping to plain html. And thanks to MonsterUI it looks pretty good too.

You seem to be arguing that more complexity, moving further from the foundations of the web, is a good thing. The fasthtml philosophy is the opposite — sticking close to the fundamentals is good.