MurphyA/hacker-news huggingface dataset:
by datameta | 2025-06-03 00:21:27+00:00
SEEKING WORK | USA REMOTE | NYC HYBRID

Technologies - Programming: C/C++, Python, JavaScript, Kotlin, VHDL, SystemVerilog Embedded Systems: PowerPC, ESP32, STM32, iCE40, ECP5 ML: TensorFlow Lite Micro, PyTorch, OpenCV, MATLAB, ONNX IoT: BLE, WiFi, MQTT, LoRa Resume: https://docs.google.com/document/d/18mjB1tIH5s-ZmiET_smUxbMo3FaiC637aW_us8P0U5I Email: dm@datameta.info

Hi, I'm an embedded systems engineer/architect bridging the full compute spectrum of ultra-low power IoT, edge systems, and HPC.

My latest projects have been in full-stack edge ML R&D, memory controller firmware dev for POWER servers, and chip bringup/testing for Z mainframes.

I'm passionate about modular synthesis and tinkering with all sorts of analog circuits and DSP. Currently upskilling in analog PCB design and refining my abilities in FPGA development. Also WIP on a 3D-printed robot arm to practice control systems and actuation.
by xg15 | 2025-06-03 00:21:37+00:00
> That’s not an issue with the tool, it’s an issue with the dev.

Hard disagreeing here. It's a difference to work on a task because you feel it brings you tangible progress or because it's an artificial exercise that you could really do with one sentence to Claude if it weren't for the constraints of the learning environment. This feeling is actually demotivating for learning.
by jvanderbot | 2025-06-03 00:22:14+00:00
This is the thing that gets me about LLM usage. They can be amazing revolutionary tech and yes they can also be nearly impossible to use right. The claim that they are going to replace this or that is hampered by the fact that there is very real skill required (at best) or just won't work most the time (at worst). Yes there are examples of amazing things, but the majority of things seem bad.
by libraryofbabel | 2025-06-03 00:23:00+00:00
This isn't a particularly useful filter, because it applies to many very successful technologies as well. Early automobiles generated a lot of hype and excitement, but they were not very good (unreliable, loud, and dangerous, and generally still worse than horses). They got steadily better until eventually they hit an inflection point where the skeptics were dug in repeating the same increasingly old complaints, while Henry Ford was building the Model T.
by camreon | 2025-06-03 00:23:10+00:00
Location: Seattle, WA

Remote: Yes

Willing to relocate: No

Technologies: Typescript/Javascript, Node, React, Python, Rust, Elixir, PostgreSQL, AWS, CircleCI, HTML, CSS, K8s

Résumé/CV: https://camreon.github.io/docs/resume.pdf

Email: camerongu3@gmail.com

---

Full stack web dev here with a bias towards the backend. On my own time I prefer to use python for web work and GDScript/Godot for game dev, but I'm a big proponent of using the right tools for the job. I'm good at turning domain knowledge into software and quickly getting up to speed on preexisting code bases. Ideally looking for a role doing something socially conscious.

At my last job I led a team and helped build a Windows desktop app that pulled data from native node modules and added overlays to games. I used Electron, Node, Typescript, React, and Redux to build it, AWS for CI/deployments, and finally TrackJS and Sentry for logging/monitoring. I also started learning Rust from working with other engineers on the native node modules.
by orionsbelt | 2025-06-03 00:23:12+00:00
At what point would you be impressed by a human being if you asked it to help you with a task every 6 months from birth until it was 30 years old?

If you ask different people the above question, and if you vary it based on type of task, or which human, you would get different answers. But as time goes on, more and more people would become impressed with what the human can do.

I don't know when LLMs will stop progressing, but all I know is they continue to progress at what is to me a similar astounding rate as to a growing child. For me personally, I never used LLMs for anything, and since o3 and Gemini 2.5 Pro, I use them all the time for all sorts of stuff.

You may be smarter than me and still not impressed, but I'd try the latest models and play around, and if you aren't impressed yet, I'd bet money you will be within 3 years max (likely much earlier).
by nickpsecurity | 2025-06-03 00:23:13+00:00
I'll add it's not true for programmers with morality. For instance, people who follow Jesus Christ are commanded to obey the law and treat people right. Many think respecting copyright is both. While I oppose copyright law, I do uphold it and like supporting content creators.

Also, I think there's an argument similar to cryptocurrency companies that run like pyramid schemes. I could've made easy money doing security work for them. Yet, I felt like I'd be participating in helping them rob people or advancing their con. (Some jobs, like building assurance tools, might be OK.) Likewise, using tools built on massive, copyright infringement might be supporting or promoting that.

So, I gotta use legally-trained models or wait for legal reforms that make LLM training legal. Especially the data sets they distribute which is currently illegal, file sharing.
by lapcat | 2025-06-03 00:23:23+00:00
> You can run the agents on your own infrastructure (all the way down to a Mac Mini sitting on your desk)

How does that work exactly? Do you have a link?

> Microsoft, OpenAI and I'm pretty sure Anthropic can sell you an Enterprise service that guarantees a certain level of confidentiality

These companies hoovered up all of our content without notice, permission, or compensation, to train their models. I wouldn't trust them one bit. My personal opinion is that it's foolish to trust them.

> I work in aerospace, one of the most paranoid industries

Paranoid about what exactly?
by simonw | 2025-06-03 00:24:00+00:00
That's because GPT-4o's training cut-off is Sep 30, 2023 (see https://platform.openai.com/docs/models/gpt-4o) and the OpenAI API has changed a LOT since then.

Claude 4 has a training cut-off of March 2025, I tried something today about its own API and it gave me useful code.
Show HN: Page Magic: Use AI to customize any web page
by khaledh | 2025-06-03 00:24:42+00:00
I built this Chrome extension (using Claude Code) to help me customize the style of web pages to my liking. It's not perfect, but it does a decent job most of the time.

You will need to bring your own Anthropic API key and add it in the settings if you want to try it out.

Features:

- Use natural language to customize any web page

- You can make the changes apply to the current page only or domain-wide

- You can see your prompt history for the page and toggle any of them

- Cost is tracked using Anthropic pricing and token counts (it may not be 100% accurate, but close enough)

Cost per change tends to be around $0.005 depending on page size.

Things you can try:

- Change the background color, text color, etc.

- Remove obnoxiously large hero images

- Reduce line spacing

- Increase content area width

- Remove stickiness of top headers

- ... anything you can think up
by viccis | 2025-06-03 00:24:53+00:00
I'm with you two. I can work on boring problems in boring domains and enjoy the design and implementation aspect because it's inherently creative. Take away those and now my only job is the guy in Office Space who takes the requirements from the customers to the developers, if I'm lucky enough to have one at that point.

I don't want to have to change careers, as this is one that I've been working towards to some degree since I was a child. Including some intense work in college and some brutal first couple jobs where I worked hard to pick up marketable skills. Obviously the market doesn't care what I want, but I find the author of this piece to be a bit too flippant in his "but they take-rr jerbs" section. Working hard to get a well paying job only to have to start (likely near the bottom) in another career for much less pay is not something to treat lightly.
by Denzel | 2025-06-03 00:25:06+00:00
Yes, I read your entire article and that section, hence my response. :)

1) Help me understand what you mean by “pure compute providers” here. Who are the pure compute providers and what are their financials including pricing?

2) I already responded to this - platform power is one compelling value gained from paid API market share.

3) If the frontier lab you’re talking about is DeepSeek, I’ve already responded to this as well, and you didn’t even concede the point that the 80% margin you cited is inaccurate given that it’s based on a “theoretical income”.
Ask HN: Why was BeerMe selected by for YC F24?
by AdobiWanKenobi | 2025-06-03 00:25:17+00:00
Can someone explain to me what made BeerMe special and something that YC thought was worthwhile investing in.

I remember seeing the original LinkedIn post back in November 2024 when they were announced and immediately thinking that it was a pretty weak idea and product. To the point it even made me start to question how much I valued the opinion of YC.

Looking back on the business now, the website is essentially dead, one of the founders works elsewhere and the LinkedIn hasn't had a post in over 6 months.

I'm confused what Dalton or whoever it was saw in the company. I genuinely cannot work out a value proposition or a USP that would make them worthwhile.

I mean in the UK we have had instant bank transfers for years. Monzo (a la Tom) has had payment urls too for some time now, in addition to the generally good UI/UX. Even then for those outside the UK there's PayPal friends and family as well...

What am I missing here?
by tjohns | 2025-06-03 00:25:31+00:00
The reason why it's illegal to shoot at airplanes has nothing to do with "Bezos's trillion-dollar empire", it's because it's categorically unsafe and you're likely to kill people by doing it, eiter in the sky or on the ground. It's just a really dumb idea.

As for killing animals that wander onto your property... that's been controversial for at least the last 160 years, when a similar incident almost started a war between the US and the UK: https://en.wikipedia.org/wiki/Pig_War_(1859)
by elias224 | 2025-06-03 00:26:13+00:00
Location: San Jose, CA Remote: open to anything Willing to relocate: Yes, anywhere on earth I will go to work on career specific technology. Technologies: C, assembly, powershell, verilog, python Roboflow, Twilio, AI integration Résumé/CV: BS EE senior with a semester left. repair/test technician for Hyve Solutions. Working on fpga simulation project for power saving AI/ML ASIC. Full resume available upon request. Email: channelbeats@proton.me
by JacobThreeThree | 2025-06-03 00:26:36+00:00
This speaks to the low quality assurance bar that most of the software industry lives by.

If you're programming for a plane's avionics, as an example, the quality assurance bar is much, much higher. To the point where any time-saving benefits of using an LLM are most likely dwarfed by the time it takes to review and test the code.

It's easy to say LLM is a game-changer when there are no lives at stake, and therefore the cost of any errors is extremely low, and little to no QA occurs prior to being pushed to production.
by StellarScience | 2025-06-03 00:27:45+00:00
Stellar Science | Hybrid (USA) Albuquerque NM, Washington DC (Tysons VA), Dayton OH | Full time, interns/co-ops | U.S. citizenship required | https://www.stellarscience.com (sorry, summer 2025 internships have been filled) Company: We're a small scientific software development company that develops custom scientific and engineering analysis applications in domains including: space situational awareness (monitoring the locations, health and status of on-orbit satellites), image simulation, high power microwave systems, modeling and simulation, laser systems modeling, AI/ML including physics-informed neural networks (PINN), human body thermoregulation, computer vision and image processing, high performance computing (HPC), computer aided design (CAD), and more. All exciting applications and no CRUD. We emphasize high quality code and lightweight processes that free software engineers to be productive.

Experience: Other than interns, we currently require a Bachelors degree in physics, engineering, math, computer science, or a related field, plus preferably 3+ years of work experience or a Masters or PhD in lieu of work experience. (Roughly 30% of our staff have PhDs.)

Technologies: Mostly C++23, Qt 6.5-6.9, CMake, git, OpenGL, CUDA, Boost, Jenkins. Windows and Linux, msvc/gcc/clang/clangcl. AI/ML and other projects use Python, some use Java or Javascript/Typescript/React.

Apply online at https://www.stellarscience.com/careers/.
by mattl | 2025-06-03 00:28:01+00:00
I’m a free software developer and have been for over 25 years. I’ve worked at many of the usual places too and I enjoy and appreciate the different licenses used for software.

I’m also a filmmaker and married to a visual artist.

I don’t touch this stuff at all. It’s all AI slop to me. I don’t want to see it, I don’t want to work with it or use it.
by ryandrake | 2025-06-03 00:28:05+00:00
Why can't reviews of AI be somewhere in the middle between "useless" and "the second coming"?

I tried Copilot a few months ago just to give it a shot and so I could discuss it with at least a shred of experience with the tool, and yea, it's a neat feature. I wouldn't call it a gimmick--it deserves a little more than that, but I didn't exactly cream my pants over it like a lot of people seem to be doing. It's kind of convenient, like a smart autocomplete. Will it fundamentally change how I write software? No way. But it's cool.
by mathgorges | 2025-06-03 00:28:08+00:00
In my experience it's less about the latest generation of LLMs being better, and more about the tooling around them for integration into a programmer's workflow being waaaay better.

The article doesn't explicitly spell it out until several paragraphs later, but I think what your quoted sentence is alluding to is that Cursor, Cline et al can be pretty revolutionary in terms of removing toil from the development process.

Need to perform a gnarly refactor that's easy to describe but difficult to implement because it's spread far and wide across the codebase? Let the LLM handle it and then check its work. Stuck in dependency hell because you updated one package due to a CVE? The LLM can (often) sort that out for you. Heck, did the IDE's refactor tool fail at renaming a function again? LLM.

I'm remain skeptical of LLM-based development insofar as I think the enshitification will inevitably come when the Magic Money Machine breaks down. And I don't think I would hire a programmer that needs LLM assistance in order to program. But it's hard to deny that it has made me a lot more productive. At the current price it's a no-brainer to use it.
by SpicyLemonZest | 2025-06-03 00:29:08+00:00
> Professional software developers are in the business of solving practical problems for people with code. We are not, in our day jobs, artisans. Steve Jobs was wrong: we do not need to carve the unseen feet in the sculpture. Nobody cares if the logic board traces are pleasingly routed. If anything we build endures, it won’t be because the codebase was beautiful.

I think this is my key point of disagreement. Professional software developers often don't see themselves as artisans, because Steve Jobs's unseen feet are implemented through our implicit standards of ourselves. I don't go out of my way to be a perfectionist on the job, but neither will I try to push 1000 lines of spaghetti to solve a minor problem that seems like it ought to be a simple fix.

I've worked with people in the past who don't have this instinct, and it's my experience that their productivity is quite low if not negative, even though they often perceive themselves to be 10x developers who can handle all kinds of edge cases super fast. I suspect that most AI-generated code today ends up in this niche.
by skwirl | 2025-06-03 00:29:19+00:00
It doesn’t really matter what this or that person said six months ago or what they are saying today. This morning I used cursor to write something in under an hour that previously would have taken me a couple of days. That is what matters to me. I gain nothing from posting about my experience here. I’ve got nothing to sell and nothing to prove.

You write like this is some grand debate you are engaging in and trying to win. But to people on what you see as the other side, there is no debate. The debate is over.

You drag your feet at your own peril.
by paradox242 | 2025-06-03 00:29:20+00:00
I like Thomas, but I find his arguments include the same fundamental mistake I see made elsewhere. He acknowledged that the tools need an expert to use properly, and as he illustrated, he refined his expertise over many years. He is of the first and last generation of experienced programmers who learned without LLM assistance. How is someone just coming out of school going to get the encouragement and space to independently develop the experience they need to break out of the "vibe coding" phase? I can almost anticipate an interjection along the lines of "well we used to build everything with our hands and now we have tools etc, it's just different" but this is an order of magnitude different. This is asking a robot to design and assemble a shed for you, and you never even see the saw, nails, and hammer being used, let alone understand enough about how the different materials interact to get much more than a "vibe" for how much weight the roof might support.
by Magmalgebra | 2025-06-03 00:29:32+00:00
> or are there still good reasons for using it in a new project in 2025

it's not clear there ever was. Most of the big users I'm aware of, like Stripe, don't seem to have needed it and regretted the decision. Big data didn't become a thing in the way people expected[0]. If you really did need the scalability of Mongo you'd choose a NewSql database like TiDB[1].

[0] https://motherduck.com/blog/big-data-is-dead/ [1] https://docs.pingcap.com/
by vitaflo | 2025-06-03 00:29:48+00:00
It’s entirely possible that the people talking up agents also produced spaghetti code but don’t care because they are so much more “productive”.

An interesting thing about many of these types of posts is they never actually detail the tools they use and how they use them to achieve their results. It shouldn’t even be that hard for them to do, they could just have their agent do it for them.
by ElectricalUnion | 2025-06-03 00:30:28+00:00
In a more safe world, the CC HSM would have it's own display and pin entry, to avoid this exact issue. You really can't validate if the terminal is honest.

Because as you rightly pointed out, who said the evil merchant or MitM thief are either MitM'ing the display system, or even have total control of the display system?
by bayindirh | 2025-06-03 00:30:31+00:00
I'll be a happy and ignorant nut as long as these models are trained on publicly scraped code without their creators' consent, and the models fail to cite the licenses and sources of the parts the answer is composed from.

Oh, GH Copilot was adding citing capabilities which was going to be in production around this time? Any progress on that front?

Thanks.
by citizenpaul | 2025-06-03 00:30:50+00:00
>these agent posts are paid advertising.

I'm 100% certain most if not all of them are, there is simply too much money flying around and I've seen things that marketing does in the past for way less hyped products. Though in this specific case I think the writer may simply be shilling AI to create demand for their service. Pay us monthly to one click deploy your broken incomplete AI slop. The app doesn't work? No problem just keep prompting harder and paying us more to host/build/test/deploy it...

I've also tried the agent thing and still am with only moderate success. Cursor, Claud-squad, goose, dagger AI agents. In other words all the new hotness, all with various features claiming to solve the fact that agents don't work. Guess what? they still don't.

But hey this is HN? most of the posters are tech fearing luddies right? All the contention on here must mean our grindset is wrong and we are not prompting hard enough.

There is even one shill Ghuntly that claims you need to be "redlining" ai at the cost of $500-$1000 per day to get the full benefits. LOL if that is not a veiled advertisement I don't know what is.
by alisonatwork | 2025-06-03 00:31:20+00:00
The problem with AI hype is not really about whether a particular model can - in the abstract - solve a particular programming problem. The problem with AI hype is that it is selling a future where all software development companies become entirely dependent on closed systems.

All of the state-of-the-art models are online models - you have no choice, you have to pay for a black box subscription service controlled by one of a handful of third-party gatekeepers. What used to be a cost center that was inside your company is now a cost center outside your company, and thus it is a risk to become dependent on it. Perhaps the risk is worthwhile, perhaps not, but the hype is saying that real soon now it will be impossible to not become dependent on these closed systems and still exist as a viable company.
by Velorivox | 2025-06-03 00:32:50+00:00
> At what point would you be impressed by a human being if you asked it to help you with a task every 6 months from birth until it was 30 years old?

In this context, never. Especially because the parent knows you will always ask 2+2 and can just teach the child to say “four” as their first and only word. You’ll be on to them, too.
by komatineni | 2025-06-03 00:32:51+00:00
Not a programmer now but my real takeaway from working with developers, enterprises at various stages of adoption: AI / LLM are not magic. The hype still exists but basically AI/LLM are tools. How we use these tools is what makes the enterprises different. unfortunately the quantity hype is '+' by big boys from MS, Goog adding to the noise. Personally, I love to see the quality and most importantly some real examples going beyond coding assistance. Be it automating the QA/QC or even some of the infra
by zZorgz | 2025-06-03 00:33:04+00:00
While I was learning a new keyboard layout (Colemak) I went from > 100 WPM to starting from ~20 WPM. I think I got pretty productive when I reached 60/70 WPM and was surprised how much tab completion and computing assistance I relied on anyway. After that experience I think fast typing speed is overrated. (Now I’ve a somewhat useless skill of being able to type > 100 WPM on two different keyboard layouts.)

Edit: note if you are a typist and transcribe a lot of text for long periods of time without break, typing speed is important. But that’s mostly not any of us. But hey maybe I don’t write enough documentation and comments..
by are_you_sure | 2025-06-03 00:33:31+00:00
I'm not a skeptic because they can't produce code or whatever. Sure they are getting better at it.

I'm a skeptic because the megacorps have decide ai slop is the future and its going to push us deeper into hypercapitalist dystopia.

Programming as a career is going to end up as a ai slop janny. You aren't going to be paid more if your job is easier or whatever, you're gonna get paid less (and then end up doing more atomised work) because "an ai can do it". That's the direction that everything seems to be heading.
by Nevermark | 2025-06-03 00:34:13+00:00
> Everyone needs to figure out how AI works for them.

That is the real takeaway.

I use LLM’s for dozens of things. It took time to find how model strengths best connect with mine.

People who only evaluate models for one purpose over short timespans are going to have a hard time.

It’s like models come from a different cognitive & communication culture. Eliminating that barrier takes more experimentation and experience than logic.

I think their creativity is also often a function of the prompters creativity.

The harder you (creatively) push them into a creative corner, the more genuinely creative they get.

Not unlike how a good teacher can get unexpected positive results from students when they are channeled and pushed.