Someone discovered you can skip the entire computer science curriculum by copy-pasting transformer code from Hugging Face. Why waste years learning Python, data structures, algorithms, discrete math, calculus, and statistics when you can just import a pre-trained model and call it "AI engineering"? The escalator labeled "attention is all you need" (referencing the famous transformer paper) goes straight to the top while the stairs gather dust. Turns out the only prerequisite for a six-figure AI job is knowing how to pip install and having the confidence to say "I fine-tuned a model" in interviews.

Nothing says "strategic planning" quite like telling the world your entire workforce is replaceable by AI, then acting shocked when investors realize they don't need to pay top dollar for engineers anymore. Companies spent years hyping up how their AI models would automate coding, convinced VCs to throw money at them, and now they're surprised the market's like "wait, if AI can do it, why are we funding expensive dev teams?" It's the corporate equivalent of shooting yourself in the foot while riding a bike. You spent all that time convincing everyone that programming is easy and anyone can do it with AI assistance, and now your stock price reflects that belief. Turns out when you commoditize your own industry for marketing points, the market takes you seriously. Who could've seen that coming?

Yeah, so ChatGPT "helping" us code is like hiring an intern who writes beautiful documentation but ships code that only works on their machine. Sure, it cranks out that boilerplate in 5 minutes instead of 2 hours, but now you're spending an entire day debugging why it decided to use a deprecated library, mixed async patterns, and somehow introduced a race condition that only happens on Tuesdays. The real productivity boost is going from 6 hours of debugging your own mess to 24 hours of debugging someone else's mess that you don't fully understand. At least when I wrote the bug, I knew where to look. Now I'm reading AI slop trying to figure out why it thought nested ternaries were a good idea. But hey, at least the developer disappeared from the "after" picture. Maybe they finally got that work-life balance everyone keeps talking about. Or they're just crying in the server room.

OpenAI just declared the AI race is "over" if they can't train models on copyrighted content without permission. You know, because apparently innovation dies the moment you have to actually license the data you're using. The bottom panel really nails it—10/10 car thieves would also agree that laws against stealing are terrible for business. Same energy, different industry. It's the corporate equivalent of "Your Honor, if I can't copy my neighbor's homework, how am I supposed to pass the class?" Sure, training AI models on massive datasets is expensive and complicated, but so is respecting intellectual property. Wild concept, I know.