MurphyA/hacker-news huggingface dataset:
by neilv | 2025-12-01 17:09:53+00:00
I don't know about the X200S, but I had several X200 non-S, with Coreboot, up until recently, and they were worth repairing, as evidenced by resale value.

(New keyboards are inexpensive (at least before tariffs), the replacement palmrest plastic part can be found and very easily replaced, you can still get batteries for them. And if you have a pressure mark on the LCD, apparently that's not a showstopper. Add a $20 SSD and max. the RAM, and it's better than new.)
by RickJWagner | 2025-12-01 17:10:20+00:00
First: we agree, the things you have listed about Trump look like corruption to me, too. What we seem to disagree on is the corruption in the Biden administration. You seem to be unable to see that.

About the Trump allegations ( again, which look like corruption to me ): is there any more firm evidence of corruption than there was against Biden? It looks to me like both sides are accepting money, diamond rings, jets (!), luxury automobiles, etc. for similar consideration. ( Namely, access to the Executive branch of the US government ).

So why is the corruption on one side totally obvious and evil, and on the other side doubtful and excusable?

I see corruption on both sides. Why can’t you?
by alexpotato | 2025-12-01 17:10:33+00:00
One of my favorite "myths" about the discovery of stainless steel:

Metallurgist is trying out all kinds of steels looking for a particular attribute. He would dutifully record each recipe + test in a notebook but if a particular batch didn't have the attribute, he would throw it out a window into an outdoor scrap pile.

Several months go by and he's cleaning up the pile and notices that one of the blocks has no rust or corrosion. He knows that the pile is six months old but doesn't know which of the recipes this block was connected to.

So he repeats ALL of the block recipes from the last 6 months but labels each block so he can figure out which recipe led to the "stainless" steel.

(Probably not the real story but always loved this telling of it. Actual Wikipedia history is here: https://en.wikipedia.org/wiki/Stainless_steel#History)
by kalaksi | 2025-12-01 17:10:45+00:00
I don't think that makes 100 / 100 the most likely result if you flip a coin 200 times. It's not about 100 / 100 vs. another single possible result. It's about 100 / 100 vs. NOT 100 / 100, which includes all other possible results other than 100 / 100.
by stingraycharles | 2025-12-01 17:10:45+00:00
If you’ve been programming for 30+ years, you definitely don’t fall under the category of “non-programmers”.

You have decades upon decades of experience on how to approach software development and solve problems. You know the right questions to ask.

The actual non-programmers I see on Reddit are having discussions about topics such as “I don’t believe that technical debt is a real thing” and “how can I go back in time if Claude Code destroyed my code”.
by stanfordkid | 2025-12-01 17:10:46+00:00
This article uses the computational complexity hammer way too hard, discounts huge progress in every field of AI outside of the hot trend of transformers and LLMs. Nobody is saying the future of AI is autoregressive and this article pretty much ignores any of the research that has been posted here around diffusion based text generation or how it can be combined with autoregressive methods… discounts multi-modal models entirely. He also pretty much discounts everything that’s happened with AlphaFold, Alpha Go etc. reinforcement learning etc.

The argument that computational complexity has something to do with this could have merit but the article certainly doesn’t give indication as to why. Is the brain NP complete? Maybe maybe not. I could see many arguments about why modern research will fail to create AGI but just hand waving “reality is NP-hard” is not enough.

The fact is: something fundamental has changed that enables a computer to pretty effectively understand natural language. That’s a discovery on the scale of the internet or google search and shouldn’t be discounted… and usage proves it. In 2 years there is a platform with billions of users. On top of that huge fields of new research are making leaps and bounds with novel methods utilizing AI for chemistry, computational geometry, biology etc.

It’s a paradigm shift.
by drillsteps5 | 2025-12-01 17:10:59+00:00
I ended up getting separate hardware, one box for Windows (gaming only), another for everything is Linux. Gaming box is a desktop with latest CPU, proper GPU and everything, my personal is a 5 year old Thinkpad (mostly docked and connected to multiple monitors, good kb and mouse) under Mint Cinnamon that feels snappier than the Windows one.

Edit: I started playing with Linux 8 years ago and about a year later moved all my stuff to Linux Fedora and later Mint and never looked back. No regrets so far.
by crazygringo | 2025-12-01 17:11:03+00:00
Thank you. The idea that this is due to ads makes complete sense, as there's a lot of indication that Netflix charges more for ads showing on a TV (more people likely to view) than on a mobile device (usually only one person).

The fact that casting is still supported for older Chromecasts only on ad-free plans makes this the likeliest explanation to me. Netflix doesn't want to be paid lower rates on ads that are actually getting shown on the TV.
by stackghost | 2025-12-01 17:11:19+00:00
>no distro maintainers that constantly change stuff.

This is one of those things that mom-Linux people think but isn't really true. I can think of two episodes in the last decade (systemd and Wayland) that constituted controversial changes but frankly there are people who make "not using systemd" their entire identity and it's just so much cringe.

Even on a rolling release bleeding edge distro like Fedora things really don't change that much at all.

>I don't view my OS as a hobby, but I do want to have full control over it and to be able to understand how it works.

FreeBSD doesn't afford you any more or less control over how the system works than Linux.
by alecco | 2025-12-01 17:11:33+00:00
Indeed. Why do people follow these clowns? They seem to read high level takes and spew out their nonsense theories.

They fail to mention Google's edge: Inter-Chip Interconnect and the allegedly 1/3 of price. Then they talk about software moat and it sounds like they never even compiled a hello world in either architecture. smh

And this comes out days after many in-depth posts like:

https://newsletter.semianalysis.com/p/tpuv7-google-takes-a-s...

A crude Google search AI summary of those would be better than this dumb blogpost.
by mindslight | 2025-12-01 17:11:35+00:00
My point was that this is not any sort of widespread normalized behavior in the US in the past few decades. I was responding to a comment preaching as if this was routine behavior, and that people not doing it are simply being "inattentive".

I do get that it used to be a thing in the past. But that was also when oil was rated for 3k miles (I think? maybe it was even lower) and engines would routinely burn oil (ie consume it without leaving a drip spot on the ground). Whereas in the modern day, 15k synthetic exists.

FWIW, I probably do more of my own maintenance than the median HNer. I'll admit I can let intervals slip more than I'd like and I'm working on that, but this idea that everyone is checking fluid levels all the time just seems wildly off base.
by citizenpaul | 2025-12-01 17:11:41+00:00
Its a long article and one of the first points "google strikes back." Is completely wrong ime. Not only is Gemini much worse than all the other models. The latest release is now so bad it is almost useless half the time or more. Hard to read more with such a bad take what I've seen myself. I don't care what benchmarks it beats if it just churns out comically bad results to me.
by tshaddox | 2025-12-01 17:11:57+00:00
Okay, but it doesn't make sense to arbitrarily group together some results and compare the probability of getting any 1 result in that group to getting 1 particular result outside of that group.

You could just as easily say "you should be suspicious if you flip a coin 200 times and get exactly 93 heads, because it's far more likely to get between 99 and 187 heads."
by HardCodedBias | 2025-12-01 17:12:20+00:00
Two claims here:

1) LLMs have failed to live up to the hype.

Maybe. Depends upon's who's hype. But I think it is fine to say that we don't have AGI today (however that is defined) and that some people hyped that up.

2) LLMs haven't failed outright

I think that this is a vast understatement.

LLMs have been a wild success. At big tech over 40% of checked in code is LLM generated. At smaller companies the proportion is larger. ChatGPT has over 800 million weekly active users.

Students throughout the world, and especially in the developed world are using "AI" at 85-90% (from some surveys).

Between 40% of professionals and 90% (depending upon survey and profession) are using "AI".

This is 3 years after the launch of ChatGPT (and the capabilities of chatGPT 3.5 were so limited compared to today that it is a shame that they get bundled together in our discussions). I would say instead of "failed outright" that they are the most successful consumer product of all time (so far).
by potato3732842 | 2025-12-01 17:12:49+00:00
Life was worth a lot less back then. If they were putting people to death over every construction accident that claimed a life nothing would've got built. And back then they weren't building skyscrapers and suspension bridges where one key joint fails and the rest falls over with no warning. They were building simple fairly short structures that can only really kill you if the roof hits you on its way down and gave a whole lot of warning before that happened. Castles and cathedrals and city walls and the like don't fall down unless you intentionally ignore or obfuscate a ton of cracking a slumping and things moving, etc, etc. The people who'd have faced consequences like specified in these code are people who've actually done malicious things.
by gishh | 2025-12-01 17:12:54+00:00
> something fundamental has changed that enables a computer to pretty effectively understand natural language.

You understand how the tech works right? It's statistics and tokens. The computer understands nothing. Creating "understanding" would be a breakthrough.

Edit: I wasn't trying to be a jerk. I sincerely wasn't. I don't "understand" how LLMs "understand" anything. I'd be super pumped to learn that bit. I don't have an agenda.
by mwpmaybe | 2025-12-01 17:13:00+00:00
> Power management on Macbooks is unbeatable in my experience, both Windows and Linux have really serious issues dealing with sleep and low power modes.

I've been dealing with this recently. Linux won't hibernate if you have Secure Boot enabled, even if your swap is encrypted. So I either have to leave my laptop plugged in all the time or remember to shut it down before unplugging it so it doesn't completely drain its battery while sleeping.
by opudrovs | 2025-12-01 17:13:10+00:00
Location: Germany (Dusseldorf)

Remote: Yes

Willing to relocate: No

Technologies: React, Next.js, TypeScript, Mantine UI, Tailwind CSS, shadcn, Material UI, Bootstrap, Node.js, Express, NestJS, PostgreSQL, various auth solutions (Supabase Auth, Auth0, Firebase Auth etc.), Golang, Kubernetes, AWS, Swift, Unity, various analytics and monitoring solutions (Prometheus, Grafana, Pendo etc.), OpenAI API, AI agents.

Résumé/CV: https://drive.google.com/file/d/1UVHNlrDhIZwHV2N0XmGhOluLguZ...

Email: opudrovs@gmail.com

Available for remote work worldwide, very flexible across time zones. Looking for permanent or contract positions. Hi! I’m Olga, an experienced software engineer looking for frontend or fullstack projects.

I have experience building greenfield projects and complex features that “just work,” as well as diving into complex legacy codebases, fixing “unfixable” bugs, and performing major refactoring.

In addition to React/Next.js and Node/Express.js development, I also have experience with cloud-native workflows (Golang + Kubernetes), OpenAI API integration and agentic workflows, native iOS development, and game development. Thanks to my multi-platform experience, I can help you port large products across different platforms.

LinkedIn: https://www.linkedin.com/in/olga-pudrovska/

My contributions to Weave GitOps (React/Golang Kubernetes dashboard project): https://github.com/weaveworks/weave-gitops/commits?author=op... https://github.com/weaveworks/weave-gitops-enterprise/commit...

My latest fullstack code samples: https://github.com/opudrovs/react-api-data-sample/ Frontend: React/Next.js/TypeScript/Mantine UI/Tailwind CSS Backend: Node.js/Express/TypeScript/PostgreSQL/Supabase Auth https://github.com/opudrovs/nestjs-demo/ NestJS + TypeOrm Please see the Readme files for instructions on how to run the projects.
by caminante | 2025-12-01 17:13:14+00:00
Author isn't non-financial, but the "moat 2.0" doesn't feel right.

> More than anything, though, I believe in the market power and defensibility of 800 million users, which is why I think ChatGPT still has a meaningful moat.

It's 800M weekly active users according to ChatGPT. I keep hearing that once you segment paid and unpaid, daily ChatGPT users fall off dramatically (<10% for paid and far less for unpaid).
by ako | 2025-12-01 17:13:22+00:00
Actually, I already prefer AI to static training materials these days. But instead of looking for a static training material, I treated it like a coach.

Recently I had to learn SPARQL. What I did is I created an MCP server to connect it to a graph database with SPARQL support, and then I asked the AI: "Can you teach me how to do this? How would I do this in SQL? How would I do it with SPARQL?" And then it would show me.

With examples of how to use something, it really helps that you can ask questions about what you want to know at that moment, instead of just following a static tutorial.
by philipallstar | 2025-12-01 17:13:44+00:00
I just tried installing Zoom on my Ubuntu desktop, and the options seem to be:

- find Zoom in the package manager (can't)

- find zoom-client in the package manager (can, but it appears to be authored by some person and not Zoom Inc)

- go to the Zoom website and download a .deb and then run a command

This is fine for me, but let's not pretend that a regular user wanting to install something as basic as Zoom is going to have an easy time of it.
by ocdtrekkie | 2025-12-01 17:13:54+00:00
And those implementers should make decisions, Google should be bound by the FTC to supporting their recommendations.

Honestly, what's really funny here is how absolutely horrified people are by the suggestion a single company which has a monopoly shouldn't also define the web platform. I really think anyone who has any sort of confusion about what I commented here to take a long, hard look at their worldview.
by metalman | 2025-12-01 17:14:02+00:00
at this point anyone interested in reducing the impact of the bad things in our food needs to go radical, not raving radical, but quiet, determined, with a ready chearfull "no I dont eat that,thanks!" radical!, stick with the chearfull, and see who raves first! radical. sugar, gone, alcohol, gone, anything with more than 8 ingredients, gone, anything that needs a degree in chemistry to understand, gone, plastic does not touch food,cook every day, become food/personal care centric and fuck everything else, cheerfully!
by StellarScience | 2025-12-01 17:14:10+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

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: Except for interns, we currently require a Bachelors degree in physics, engineering, math, computer science, or a related field. Masters or PhD is a plus. (Roughly 25% of our staff have PhDs.)

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

Apply online: at https://www.stellarscience.com/careers/.
by kmdupree | 2025-12-01 17:14:10+00:00
Avantos.ai | Senior Software Engineer, AI Team | NYC or St Louis | 150-200k

We're building an AI notetaker and task management tool for financial advisors. Startup is headquartered in NYC. If you're not in NYC, quarterly travel to the office is expected.

Front end: React DB: Postgres APIs: Golang, Elysia/Node Infra: AWS ala Terraform

Apply here:

https://docs.google.com/forms/d/e/1FAIpQLSd4JRq-lvpsA8GGnyrd...
by inanutshellus | 2025-12-01 17:14:11+00:00
Your argument is in alignment with

* "There's a sucker born every minute" and * "caveat emptor" and * "If I can trick you into giving me your money, that's your fault"

With a sufficiently large pool of people, scammers live and thrive on busy people.

Regulation helps discourage that.

In this case, "REG-U-LATION" actually "caused" the issue. Up-to-date LIDAR of every home in America was deemed to be invasive breach of privacy so was regulated out. This product didn't successfully account for future non-technical issues.

I "foolishly" tried to reward a previously known-good vendor by buying a product from the company that had sold me a vacuum that worked for ten years... which brings up the next truism:

* "Past performance is not an indicator of future success"

Cue the tiny violin.
by opudrovs | 2025-12-01 17:14:15+00:00
SEEKING WORK

Location: Germany (Dusseldorf)

Remote: Yes

Willing to relocate: No

Technologies: React, Next.js, TypeScript, Mantine UI, Tailwind CSS, shadcn, Material UI, Bootstrap, Node.js, Express, NestJS, PostgreSQL, various auth solutions (Supabase Auth, Auth0, Firebase Auth etc.), Golang, Kubernetes, AWS, Swift, Unity, various analytics and monitoring solutions (Prometheus, Grafana, Pendo etc.), OpenAI API, AI agents.

Résumé/CV: https://drive.google.com/file/d/1UVHNlrDhIZwHV2N0XmGhOluLguZ...

Email: opudrovs@gmail.com

Available for remote work worldwide, very flexible across time zones. Looking for permanent or contract positions.

Hi! I’m Olga, an experienced software engineer looking for frontend or fullstack projects.

I have experience building greenfield projects and complex features that “just work,” as well as diving into complex legacy codebases, fixing “unfixable” bugs, and performing major refactoring.

In addition to React/Next.js and Node/Express.js development, I also have experience with cloud-native workflows (Golang + Kubernetes), OpenAI API integration and agentic workflows, native iOS development, and game development. Thanks to my multi-platform experience, I can help you port large products across different platforms.

LinkedIn: https://www.linkedin.com/in/olga-pudrovska/

My contributions to Weave GitOps (React/Golang Kubernetes dashboard project): https://github.com/weaveworks/weave-gitops/commits?author=op... https://github.com/weaveworks/weave-gitops-enterprise/commit...

My latest fullstack code samples: https://github.com/opudrovs/react-api-data-sample/ https://github.com/opudrovs/nestjs-demo/
by Rebelgecko | 2025-12-01 17:14:28+00:00
A big part of why marketplaces like Netflix and Steam got so popular is because they provided a low-friction way to consume that was even easier than piracy. It seems like the pendulum is starting to swing in the other direction now- it's often easier to copyright infringe than to watch something the legit way, even if you pay for a subscription that grants you access. Great example of something that's illegal but not morally wrong :)
by kevg86 | 2025-12-01 17:14:46+00:00
Yuzu Health (yuzu.health) | Location: New York City (Flatiron) | ONSITE

Our mission: Rebuild health insurance from the ground up

Why: We're solving the root cause of spiraling healthcare costs in the US (we're not building an integration on top of United or Aetna)

Investors: We recently raised a $35M Series A. Our investors include General Catalyst, Chemistry VC, Anthropic, Lachy Groom and many unicorn founders, including leaders at Stripe, OpenAI, Brex, Deel, Mercury and Notion

Team: We are reasonable, fun people that work in person in NYC

Roles: See here https://yuzu.health/careers (we have Fullstack and Backend roles posted at the moment. We're particularly in need of front end leaning folks right now and would consider other spikes also e.g. a Quant type to work on Pricing and we're also open to making a TLM type hire; all roles provide a ton of ownership).

Some resources if folks want to learn more about the space:

- Co-Founder interview with the Self Funded podcast: https://www.youtube.com/watch?v=OqFNseHLA1M

- Co-Founder interview with Health Tech Nerds: https://www.healthtechnerds.com/p/russell-pekala-co-founder-...

- Our company blog: https://yuzu.health/blog

- Nikhil from our team’s substack on the industry: https://nikhilkapse.substack.com/

I'm Kev the interim recruiting lead. You can reach out to me directly on kev ( at ) yuzu ( dot ) health
by elpocko | 2025-12-01 17:14:47+00:00
ImGui is great if you need an ad-hoc UI for development/debug tools, but it's not meant to be used in actual applications aimed at end-users. I can't speak for other devs but I certainly wouldn't want my development tools waste time with pointless animations. I hope this doesn't encourage even more devs to build inaccessible software featuring ImGui's idiosyncratic, non-standard UX.
by neom | 2025-12-01 17:14:55+00:00
Blog posts like this make me think model adoption and appropriate use case for the model is...lumpy at best. Every time I read something like it I wonder what tools they are using and how? Modern systems are not raw transformers. A raw transformer will “always output something,” they're right, but nobody deploys naked transformers. This is like claiming CPUs can’t do long division because the ALU doesn’t natively understand decimals. Also, a model is stat aprox trained on the empirical distribution of human knowledge work. It is not trying to compute the exact solution to NP complete problems? Nature does not require worst case complexity, real world cognitive tasks are not worst case NP hardness instances...
by seb_govdash | 2025-12-01 17:15:09+00:00
GovDash.com | Full Stack Software Engineer - AI Agent Orchestration | Full-Time | New York City | $150K

GovDash is redefining government contracting, a $700B+ market driven by slow, outdated tools. We are building the AI-first ERP that unifies capture, proposal development, and contract management, replacing disconnected point solutions with a unified, intelligent system.

We recently closed a $10M Series A led by Northzone with participation from Y Combinator. This funding validates our approach and fuels our mission: to empower businesses to win contracts and deliver on the government missions that advance American interests.

You will own projects end-to-end, from the Node/TypeScript backend coordinating automations to the React/Next.js frontend delivering seamless user experiences. You will be the reason contractors can scale their business and better serve the government mission. This is a chance to apply deep technical skill to a massive, untouched industry with a meaningful national impact.

If you're interested please submit your application here: https://govdash.cookd.dev/jobs/engineering

We're also hiring a growth engineer! $130-150K Less focused on the core product and more focused on increasing sales & marketing velocity https://govdash.cookd.dev/jobs/growth-engineer