MurphyA/hacker-news huggingface dataset:
by Workaccount2 | 2025-12-01 17:15:18+00:00
In high school I knew a kid who would go around looting loose change from unlocked cars. He'd pull the driver side door open like it was his car, hop in, loot the center console, then hop out like nothing happened. He wouldn't take valuables (as far as I knew), just change, so maybe a few bucks per car.

His rationale? "Nobody will cry over a few missing quarters and they are free to lock their doors anyway."
by 1cph | 2025-12-01 17:15:19+00:00
Location: Pennsylvania, USA

Remote: Yes

Willing to relocate: No

Technologies: Python, FastAPI, Django, FastAPI, Amazon Web Services, CI/CD, SQL, NoSQL, Git, Docker, Terraform, Kubernetes

Résumé/CV: https://s3.us-east-1.amazonaws.com/misc.resume/christian_hog...

Email: 1cph93@gmail.com

Hi, I'm Christian! I'm a senior software engineer with 9 years of experience and I help teams deliver maintainable and scalable solutions. My focus is backend development and DevOps - things like API development, third party API integrations, optimization, cloud infrastructure, CI/CD, and automation. My strengths include working with stakeholders across multiple business units, establishing best-practices, spearheading ambitious projects and features, and mentoring other engineers. I'm always happy to chat through difficult problems, so feel free to get in touch via email.
by scrozier | 2025-12-01 17:15:26+00:00
I'm sure author's company does good work, but the marketplace doesn't respond well to, "we're really, _really_ good,", "trust me," "you won't be disappointed." It not only feels desperate, but is proof-free. Show me your last three great projects and have your customers tell me what they loved about working with you. Anybody can say, "seriously, we're really good."
by cardanome | 2025-12-01 17:15:35+00:00
The development of LLM's required access to huge amounts of decent training data.

It could very well that the current generation of AI has poisoned the well for any future endeavors of creating AI. You can't trivially filter out the AI slop and humans are less likely to make their handcrafted content freely available for training. In fact violating GPL code to train models on it might be ruled to be illegal as well generally stricter rules on which data you are allowed to use for training.

We might have reached a local optimum that is very difficult to escape from. There might be a long, long AI winter ahead of us, for better or worse.

> the world isn’t going back to what it was before AI. This is it, forever.

I feel this so much. I though my longing for the pre-smartphone days was bad but damn we have lost so much.
by cube2222 | 2025-12-01 17:15:57+00:00
Spacelift | Remote (Europe) | Full-time | Senior Software Engineer | $80k-$110k+ (can go higher)

We're a VC-funded startup (recently raised $51M Series C) building an infrastructure orchestrator and collaborative management platform for Infrastructure-as-Code – from OpenTofu, Terraform, Terragrunt, CloudFormation, Pulumi, Kubernetes, to Ansible.

On the backend we're using 100% Go with AWS primitives. We're looking for backend developers who like doing DevOps'y stuff sometimes (because in a way it's the spirit of our company), or have experience with the cloud native ecosystem. Ideally you'd have experience working with an IaC tool, i.e. Terraform, Pulumi, Ansible, CloudFormation, Kubernetes, or SaltStack.

Overall we have a deeply technical product, trying to build something customers love to use, and have a lot of happy and satisfied customers. We promise interesting work, the ability to open source parts of the project which don't give us a business advantage, as well as healthy working hours.

If that sounds like fun to you, please apply at https://careers.spacelift.io/jobs/3006934-software-engineer-...

You can find out more about the product we're building at https://spacelift.io and also see our engineering blog for a few technical blog posts of ours: https://spacelift.io/blog/engineering

Additionally, we're hiring for a new product we're building, Flows. Mostly the same requirements and tech stack, without the devops bits. You can see a demo of Flows and apply for it here: https://careers.spacelift.io/jobs/6438380-product-software-e...
by yannyu | 2025-12-01 17:15:57+00:00
> So what do you do if you are charged with providing shareholders ever-increasing returns on their investments by selling goods and services?

> Growth must be maintained. Value must be created. The futurist never took into account that part.

The futurists did take this into account, they just weren't writing utopian fiction. Weyland Yutani, Tyrell Corp, and other Megacorps were the futurists warning us what could happen if we let profit and sharedholder value becomes the most important thing in society.
by ramses0 | 2025-12-01 17:16:04+00:00
See this "HESCO deployment" video - https://www.youtube.com/watch?v=R16lvnKBipM

Flat pack (container) and drags out to 100's of meters. This has military purposes, but there are immediate other potential applications without even squinting that hard.

Cardboard beds for refugee camps: https://newatlas.com/good-thinking/ingenious-cardboard-bed/

Fold-down (from wall) stairs: https://sawmillstructures.com/product/stair-wall-fold-flat-w...

Cardboard honeycomb packaging cushioning: https://www.alibaba.com/product-detail/Honeycomb-Cushion-Wra...

...and some of the OG uses of the same "Miura fold" for deploying solar panels in outer space: https://old.reddit.com/r/Damnthatsinteresting/comments/cbzjp...

(in my nerdier days, I used to re-fold tourist maps using this technique so it'd "auto-open/close")
by chuckadams | 2025-12-01 17:16:34+00:00
both cgroups and namespaces are hierarichal, so you certainly can subdivide the sandbox. That is, if you're a decent C programmer and can navigate some dense kernel documentation. You can also run Docker in Docker, but it requires a privileged root container, and even the creator of that feature suggests just bind-mounting the docker socket instead.

I have a nagging feeling Plan9 probably had a solution for all this 30 years ago.
by tarasyarema | 2025-12-01 17:16:38+00:00
Hacked the Lovable.dev site to be able to inject an iframe in there, and allow users to vibe QA their app inside the native experience.

It was pretty straight forward to do, specially thanks that all vibe coding apps have iframes with the dev sites, so it's easy to get the url. Also, funny enough, they are generally served with a token param, that is perfect to use externally as in our case: to vibe e2e test the app.

But... obviously it might get flaky if they change something, probably need to vibe Qa the vibe QA :D

Repo for the extension here https://github.com/desplega-ai/vibe-qa-extension
by Groxx | 2025-12-01 17:16:39+00:00
essentially every YouTuber I've watched who discussed their financials said that their sponsorships brought in several times more money than all forms of YouTube money.

which is a very niche slice, and I have no idea how representative it is in aggregate. but sponsorships happen because they pay well enough to annoy every viewer, not just ones that aren't using the better-paying Premium - they generally are not cheap, to say the least.
by hombre_fatal | 2025-12-01 17:16:41+00:00
But it can work well even if you don't know what you are doing (or don't look at the impl).

For example, build a TUI or GUI with Claude Code while only giving it feedback on the UX/QA side. I've done it many times despite 20 years of software experience. -- Some stuff just doesn't justify me spending my time credentializing in the impl.

Hallucinations that lead to code that doesn't work just get fixed. Most code I write isn't like "now write an accurate technical essay about hamsters" where hallucinations can sneak through lest I scrutinize it; rather the code would just fail to work and trigger the LLM's feedback loop to fix it when it tries to run/lint/compile/typecheck it.

But the idea that you can only build with LLMs if you have a software engineer copilot isn't true and inches further away from true every month, so it kinda sounds like a convenient lie we tell ourselves as engineers (and understandably so: it's scary).
by tshaddox | 2025-12-01 17:17:17+00:00
> you still have a higher chance of hitting something slightly off the middle than the perfect 100/100

That's because "something slightly off the middle" is a large group of possible results. Of course you can assemble a group of possible results that has a higher likelihood than a single result (even the most likely single result!). But you could make the same argument for any single result, including one of the results in your "slightly off the middle" group. Did you get 97 heads? Well you'd have a higher likelihood of getting between 98 and 103 heads. In fact, for any result you get, it would have been more likely to get some other result! :D
by everdrive | 2025-12-01 17:17:20+00:00
As with so much technology, the technology exists in part to provide a service to the customer, but more and more it exists to direct the customer into the behaviors desired by the technology owner and its advertising partners. This isn't always so evil or insidious, but the point stands that Netflix (or almost any modern service) doesn't want you to do what _you_ want with your devices. It wants to direct you towards whatever is most beneficial to Netflix. These companies don't really serve their customers, except confusingly, customers keep paying for these services.
by mitthrowaway2 | 2025-12-01 17:17:27+00:00
Right, the .mp3 is machine generated but on a creatively -generated input. The analogy I'm making is that an LLM's weights (or let's say, a diffusion image model) are also machine-generated (by the training process) from the works in its training set, many of which are creative works, and the neural network encodes those creative works much like mp3 file does.

In this analogy, distributing the weights would be akin to distributing an mp3, and offering a genAI service, like charGPT inference or a stable diffusion API, would be akin to broadcasting.
by iRoygbiv | 2025-12-01 17:17:34+00:00
PolymathicAl released a scientific foundation model (called Walrus) the other day.

Today they posted a follow up paper examining how the model represents the physical world.

Basically they look at the model's "thoughts" and show that it understands very abstract physical ideas (like speed, or diffusion).

To be clear Walrus itself isn’t yet a fully general purpose “physics AI” because it only works with continuum (fluid-like) data, but it feels like a big stepping stone because it is able to handle anything that is vaguely fluid like (e.g. plasma, gasses, acoustics, turbulence, astrophysics etc). It appears the model is looking at all these different systems and finding general laws/principles that underly everything.
by ethin | 2025-12-01 17:18:09+00:00
Thank you for this. Networking is tricky (at least in person networking) because I live in an area that pretty much has no tech hub at all. I call it the state nobody talks about because the only time I've ever heard it mentioned is in elections lol. But I've certainly tried to network and will continue to do so.

I can't do graphic design or UI design more generally but I absolutely love to develop software and work with tech. But I am trying to diversify because I don't know what else to do. As a result my resume puts me as a generalist which doesn't exactly help my chances... But eh. I am definitely trying to work with what I have, it's frustrating and really demotivating though.
by timgl | 2025-12-01 17:18:33+00:00
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by scelerat | 2025-12-01 17:18:40+00:00
> we recommend keeping task-specific instructions in separate markdown files with self-descriptive names somewhere in your project.

Should do this for human developers too. Can't count the number of times I've been thrown onto a project and had to spend a significant amount of time opening and skimming files just to answer simple questions that should be answered in high-level docs like this.
by ryandrake | 2025-12-01 17:18:42+00:00
> Given rent, saving for house downpayment, student loan payments, auto loan payments, and possible childcare/healthcare costs, I don’t think we live in the same reality (based on income statistics).

These things all come after savings, not before. If you can't afford them using post-saving money, then you need to get a better job, or a cheaper living conditions. Easier said than done, I totally agree, especially nowadays. But that's the mentality you need to really take saving seriously.
by weare138 | 2025-12-01 17:18:56+00:00
..and works very well if you do know what you are doing

That's the issue. AI coding agents are only as good as the dev behind the prompt. It works for you because you have an actual background in software engineering of which coding is just one part of the process. AI coding agents can't save the inexperienced from themselves. It just helps amateurs shoot themselves in the foot faster while convincing them they're a marksman.
by cmiles8 | 2025-12-01 17:18:56+00:00
LLMs are an amazing advancement. The tech side of things is very impressive. Credit where credit is due.

Where the current wave all falls apart is on the financials. None of that makes any sense and there’s no obvious path forward.

Folks say handwavy things like “oh they’ll just sell ads” but even a cursory analysis shows that math doesn’t ad up relative to the sums of money being invested at the moment.

Tech wise I’m bullish. Business wise, AI is setting up to be a big disaster. Those that aimlessly chased the hype are heading for a world of financial pain.
by bgwalter | 2025-12-01 17:19:03+00:00
The poster is right. LLMs are Gish Gallop machines that produce convincing sounding output.

People have figured it out by now. Generative "AI" will fail, other forms may continue, though it it would be interesting to hear from experts in other fields how much fraud there is. There are tons of material science "AI" startups, it is hard to believe they all deliver.
by ssl-3 | 2025-12-01 17:19:24+00:00
Low tire pressures are a safety problem. Low tire pressure increases the likelihood of catastrophic tire failure. People can (and do!) die from catastrophic tire failures (and from complications of them, like being run over while changing a tire on the side of the road).

I'm not acting. This is not a performative display.

But yes: While I'm happier in a world with TPMS, I'd be even happier yet in a world where it was a quick and simple job to disable it in a reversible way. (Perhaps in some manner similar to the incantations used to disable the passenger seatbelt chime in many cars.)
by raw_anon_1111 | 2025-12-01 17:19:31+00:00
I have had 10 jobs over 30 years and I am now at only the third company where I gave two shits about the company’s success or saw it more than just a stepping stone to my n+1 company.

I agree with you completely. They can just keep giving me cost of living raises and respect my experience and opinions (not saying they always have to go along with them) and I will be the last person here if they shut the lights off.

I work in a consulting company where I lead projects and I have an almost obsessive commitment to seeing the customer happy within the constraints of our contract that I wouldn’t even think I was capable of earlier in my career.

I pay close to attention to my employer’s goals and strategies and stay aligned. I lurk in our sales Slack channel and care very much about how I can add revenue even though I know it wont make but a little difference in my comp.

FWIW: the other two companies I cared about deeply were startups where my opinion was respected and they gave me more autonomy than I could have ever expected. The first I was leading a project for their largest customer and the second a decade later I was just kind of thrown the reigns of our cloud architecture strategy even though I had no experience at the time.
by programjames | 2025-12-01 17:19:33+00:00
You are not even talking about the article at this point. "All it takes is for one to work out" is TFT. You are instead saying, "be stoic in the things you cannot effect." The latter is much more defensible, and something I endorse. But if you hold the latter, then all it takes is for none to work out. You would accept none, even if you would prefer one, two, or ten. Your comment is a classic motte-and-bailey defense.
by _purecollect | 2025-12-01 17:19:52+00:00
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by rootnod3 | 2025-12-01 17:20:13+00:00
It's up to you to say check in your init script if you need to start another service before you.

In terms of uptime or IO and stuff, those metrics are already available. Be that via SNMP or other means. Say you start an nginx in systems, which network and disk usage does it report? Just the main process or all its forks? Same problem in RC.

But that is part of the point. Why in the ever-loving existence should an INIT system provide stats like disk usage? That is NOT what an init system is for.

If you need memory usage or IO usage or uptime, there are so many other tools already integrated into the system that the init system doesn't need to bother.

Init systems should only care about starting, stopping and restarting services. Period. The moment they do more than that, they failed at their core job.

This might came across stronger than meant to, but still holds true.

BSDs are about "keep it simple, keep it single purpose" to a "I can live with that degree". What you get though is outstanding documentation and every component is easily understandable. Prime examples are OpenBSD/FreeBSD PF. That firewall config is just easy to grok, easy to read up on and does 99.999% of what you ever need out of a firewall.
by A4ET8a8uTh0_v2 | 2025-12-01 17:20:30+00:00
'I wouldn’t personally be able to sleep knowing I’ve contributed to all of that, too.'

I think this is the crux of the entire problem for the author. The author is certain, not just hesitant, that any contribution they would make to project involving AI equals contribution to some imagined evil ( oddly, without explictly naming what they envision so it is harder to respond to ). I have my personal qualms, but run those through my internal ethics to see if there is conflict. Unless author predicts 'prime intellect' type of catastrophe, I think the note is either shifting blame and just justifying bad outcomes with moralistic: 'I did the right thing' while not explaining the assumptions in place.
by 1vuio0pswjnm7 | 2025-12-01 17:20:31+00:00
It's rather surprising/disappointing that "advice" like this makes no mention of how the automobile gains internet access

Does it (a) have it's own SIM card, (b) piggyback on driver/passenger/other vehicle SIM cards, (c) opportunistically connect to free wifi APs, etc.

Perhaps the surveillance data is only transmitted to the mothership when the automobile is being "serviced"

The automobile OS may be like the other corporate OS, e.g., iOS, iPadOS, Android, etc., in that there is no possible configuration or combination of user settings that does not allow data collection and surveillance for unlimited commercial purposes
by BatonTrucking | 2025-12-01 17:20:36+00:00
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