No, I Don't Want To Use AI

Content companies in 2025 no ai in any product OR dran 25

When your machine learning course gets too intense, so you take it to the next level—literally. This is what happens when someone takes "deep learning" a bit too literally. While neural networks are diving into layers of abstraction, this person is diving into a pool with their textbook. The irony is palpable—studying underwater won't make your AI algorithms any more fluid, but it might make your textbook unusable. Next up: "reinforcement learning" at the gym and "natural language processing" by shouting at trees.

Your latest AI model requires the computational power of a small country just to tell someone how to center a div. Meanwhile, the energy bill could fund a small nation's GDP, but hey, at least it can write "Hello World" in 47 different coding styles. The model literally needs to pause and contemplate its existence before tackling one of the most googled questions in web development history. We've reached peak efficiency: burning through kilowatts to solve problems that a single line of CSS has been handling since 1998. Nothing says "technological progress" quite like needing three datacenters worth of GPUs to answer what flexbox was invented for.

So someone committed to a private repo from an account that had zero access to it, and GitHub's just like "seems legit" 🤷‍♂️. That's not a bug, that's a feature request from every hacker on the planet. But wait, there's more! GitHub decided to train their AI on your "private" repositories by default. You know, those repos where you keep your API keys, proprietary algorithms, and embarrassing comments about your manager. Nothing says "privacy" like opt-out AI training that conveniently went live right after this security mystery. The combo of unexplained security breaches and aggressive AI data harvesting is giving major "trust me bro" energy. Microsoft really looked at supply chain attacks and thought "what if we just... streamlined the process?" Innovation at its finest.

Someone woke up and chose violence. The goal here is to feed ChatGPT such cursed, chaotic code that it just gives up and starts hallucinating error messages. Think legacy PHP spaghetti mixed with recursive bash scripts, sprinkled with some jQuery from 2009, all wrapped in a Dockerfile that uses FROM scratch unironically. It's like trying to teach a language model by showing it only the worst code ever written. "Here GPT, analyze this 5000-line function with no comments and 47 nested if statements. Have fun!" The AI equivalent of making someone watch every JavaScript framework tutorial from the last decade simultaneously. Bonus points if the repo includes a README that just says "it works on my machine" and a package.json with 300 dependencies, half of which are deprecated.

Remember when updates were supposed to fix things? Microsoft out here bragging about AI writing 30% of their code while simultaneously turning every patch Tuesday into a digital apocalypse. Nothing says "cutting-edge tech company" quite like breaking recovery tools, localhost connections, media creation tools, and Active Directory in a single update cycle. The skeleton isn't the Grim Reaper—it's just the average sysadmin after discovering what the latest "security improvements" did to their infrastructure. Maybe the other 70% of human-written code was the only thing keeping the servers running.