Learning curve Memes

So you thought machine learning would be all neural networks and fancy algorithms? Nope. You're literally using a sewing machine. Because that's what it feels like when you start your ML journey—everyone's talking about transformers and GPT models, and you're just there trying to figure out why your training loop won't converge. The joke here is the deliberate misinterpretation of "machine learning"—he's learning to use an actual machine (a sewing machine). It's the universe's way of reminding you that before you can train models, you gotta learn the basics. And sometimes those basics feel about as relevant to modern AI as a sewing machine does to TensorFlow. Three months later you'll still be debugging why your model thinks every image is a cat. At least with a sewing machine, you can make a nice scarf while you cry.

When you let ChatGPT write 90% of your code and genuinely believe you've ascended to some kind of architectural enlightenment. Spoiler: you haven't. You're just really good at hitting Ctrl+V now. The brutal reality is that while the LLM is churning out boilerplate, you're not learning system design, scalability patterns, or how to debug that spaghetti when it inevitably breaks at 2 AM. You're basically speedrunning technical debt while calling it "productivity." Sure, AI tools are useful. But thinking they've freed you up for "high-level architecture" when you can't explain what your own codebase does is like saying you're a chef because you can microwave Hot Pockets. The trap is real, and it's got a 90% acceptance rate.