

If I broke into your home, why TF would I carefully take apart your robot vacuum in order to copy your wifi credentials‽
Also, WTF other “secrets” are you storing on your robot vacuum‽
This is not a realistic attack scenario.
Father, Hacker (Information Security Professional), Open Source Software Developer, Inventor, and 3D printing enthusiast


If I broke into your home, why TF would I carefully take apart your robot vacuum in order to copy your wifi credentials‽
Also, WTF other “secrets” are you storing on your robot vacuum‽
This is not a realistic attack scenario.


I’m having the opposite experience: It’s been super fun! It can be frustrating though when the AI can’t figure things out but overall I’ve found it quite pleasant when using Claude Code (and ollama gpt-oss:120b for when I run out of credits haha). The codex extension and the entire range of OpenAI gpt5 models don’t provide the same level of “wow, that just worked!” Or “wow, this code is actually well-documented and readable.”
Seriously: If you haven’t tried Claude Code (in VS Code via that extension of the same name), you’re missing out. It’s really a full generation or two ahead of the other coding assistant models. It’s that good.
Spend $20 and give it a try. Then join the rest of us bitching that $20 doesn’t give you enough credits and the gap between $20/month and $100/month is too large 😁


NO! It’syour device, you should have root! The fact that the manufacturer gives their product owners root is a good thing, not bad!
I will die on this fucking hill.


This could be a pyrrhic victory though, because the warming earth is causing sea turtles to all be born female. Which will result in a temporary population boom (what we’re seeing now), followed by a total collapse:


Does anyone have the data on the total number of data centers that were being built over time? I’m not convinced that AI is causing that many more data centers to be built. From everything I’ve read, is just that they’re putting more GPUs into them.


WTF? Have you ever been in a data center? They don’t release anything. They just… Sit. And blink lights while server fans blow and cooling systems whir, pumping water throughout.
The cooling systems they use aren’t that different from any office building. They’re just bigger, beefier versions. They don’t use anything super special. The Pfas they’re talking about in this article are the same old shit that’s used in any industrial air conditioner.
For the sake of argument, let’s assume that a data center uses 10 times more cooling as an equivalently sized office building. I don’t know about you, but everywhere that I’ve seen data centers, there’s loads and loads of office buildings nearby. Far more than say 10 for every data center.
My point is this: If you’re going to be bitching about pfas and cooling systems, why focus on data centers (or AI, specifically) when there’s all these damned office buildings? Instead, why don’t we talk about work from home policies which would be an actual way to reduce pfas use.
This article… Ugh. It’s like bitching that electric car batteries can catch fire, pretending that regular cars don’t have a much, much higher likelihood of catching fire and there’s several orders of magnitude more of them.
Are Pfas a problem? Yes. Are data centers anywhere near the top 1000 targets for non-trivially reducing their use? No.
Aside: This is just like the articles bitching about data center water use… Data centers recycle their water! They have a great big intake when they’re done being built but then they’re done. They only need trivial amounts of water after that.


Google search: “scientific articles about (whatever)” Then you get tons of ads and irrelevant results.
LLM search: “Find me scientific articles about (whatever)” Then you get just the titles and links (with maybe a short summary).
It’s 100% better and you don’t have to worry about hallucinations since you it’s wasn’t actually trying to find an answer… Just helping you perform a search.


It’s ok: Google and all other ad-supported search is about to go the way of the dinosaur as soon as local AI search catches on. When your own PC runs a search for you, it basically googles on your behalf and you never see those ads.
It’s going to change everything.


They’ll pay the fee and underpay the H1-B visa holders even more to make up the difference.
They’re indentured servants. They can’t quit or they risk being deported by an increasingly violent ICE.


Sounds like a plan. Let’s do it 👍


You’ve obviously never tried to get any given .NET project working in Linux. There’s .NET and then there’s .NET Core which is a mere subset of .NET.
Only .NET Core runs on Linux and nobody uses it. The list of .NET stuff that will actually run on .NET Core (alone) is a barren wasteland.


If it’s written in C# that’s a huge turn-off though because that means it’s likely to only run on Windows.
I mean, in theory, it could run on Linux but that’s a very rare situation. Almost everything ever written in C# uses Windows-specific APIs and basically no one installs the C# runtime on Linux anymore. It’s both enormous and a pain in the ass to get working properly for any given C# project.


As an information security professional and someone who works on tiny, embedded systems, knowing that a project is written in Rust is a huge enticement. I wish more projects written in Rust advertised this fact!
Benefits of Rust projects—from my perspective:


Also, stuff that gets mis-labeled as AI can be just as dangerous. Especially when you consider that the AI detection might use such labels to train itself. So someone who’s face is weirdly symmetrical might get marked as AI and then have hard time applying for jobs, purchasing things, getting credit, etc.
I want to know what counts as AI. If someone uses AI to remove the background in an image or just to remove someone standing in the background is technically generative AI but that’s something you can do in any photo editor anyway with a bit of work.


Meh. Nothing in this article is strong evidence of anything. They’re only looking at a tiny sample of data and wildly speculating about which entry-level jobs are being supplanted by AI.
As a software engineer who uses AI, I fail to see how AI can replace any given entry-level software engineering position. There’s no way! Any company that does that is just asking for trouble.
What’s more likely, is that AI is making senior software engineers more productive so they don’t need to hire more developers to assist them with more trivial/time consuming tasks.
This is a very temporary thing, though. As anyone in software can tell you: Software only gets more complex over time. Eventually these companies will have to start hiring new people again. This process usually takes about six months to a year.
If AI is causing a drop in entry-level hiring, my speculation (which isn’t as wild as in the article since I’m actually there on the ground using this stuff) is that it’s just a temporary blip while companies work out how to take advantage the slightly-enhanced productivity.
It’s inevitable: They’ll start new projects to build new stuff because now—suddenly—they have the budget. Then they’ll hire people to make up the difference.
This is how companies have worked since the invention of bullshit jobs. The need for bullshit grows with productivity.


LLMs are great at checking grammar in writing. That’s the other thing I’ve found they’re useful for 🤷
Basically, using LLMs to write something is always a bad idea (unless you’re responding to bullshit with more bullshit e.g. work emails 🤣). Using them to check writing is pretty useful though.
Zawinski’s law: Every program attempts to expand until it can read mail. Those programs which cannot expand are replaced by ones which can.
This is just the modern equivalent: Intra-site messaging.


Linux users: “See what we mean?”
Windows users: “La la la! I can’t hear you! Losing my data is clearly better than having to learn something new!”
A pet project… A web novel publishing platform. It’s very fancy: Uses yjs (CRDTs) for collaborative editing, GSAP for special effects (that authors can use in their novels), and it’s built on Vue 3 (with Vueuse and PrimeVue) and Python 3.13 on the backend using FastAPI.
The editor TipTap with a handful of custom extensions that the AI helped me write. I used AI for two reasons: I don’t know TipTap all that well and I really want to see what AI code assist tools are capable of.
I’ve evaluated Claud Code (Sonnet 4.5), gpt5, gpt5-codex, gpt5-mini, Gemini 2.5 (it’s such shit; don’t even bother), qwen3-coder:480b, glm-4.6, gpt-oss:120b, and gpt-oss:20b (running locally on my 4060 Ti 16GB). My findings thus far:
SOMEVAR="$BASE_PATH/etc/somepath/somefile"and it changed it toSOMEVAR="/etc/somepath/somefile"for no fucking reason. That change had nothing at all to do with the prompt! So when I say, “You have to be careful” I mean it!For reference, ALL the models are great with Python. For whatever reason, that language is king when it comes to AI code assist.