Great For Learning

The ultimate statistical irony: a bell curve meme about bell curves that perfectly follows... a bell curve. You've got the low-IQ folks who think bell curves are funny because "haha, pretty graph go brrr," the high-IQ intellectuals who appreciate bell curves for the exact same reason, and the middle-of-the-curve galaxy brains screaming "BAN BELL CURVES!!1!" with the intensity of someone who just discovered their entire codebase uses tabs instead of spaces. The distribution of opinions about bell curves literally forms a bell curve, and that's the kind of recursive humor that keeps me going through sprint planning meetings.

The prophecy has been fulfilled! What started as a joke about non-technical clients giving vague requirements has morphed into our current AI-powered reality. Ten years ago, this was peak comedy—a client asking for a responsive website with "big pictures," "fancy menus with whoosh," and the classic contradiction of "load fast pls" while demanding all the heavy elements. The kicker? "PS no bugs :)" as if bugs were just an optional feature developers toggle on by accident. Fast forward to 2023, and we're literally typing "Machine, pls make website" into ChatGPT and getting functional code. The cosmic irony is that what once represented the most frustrating client interaction is now basically how we interface with AI tools. The universe has a sick sense of humor.

This is the sequel to the legendary XKCD "Little Bobby Tables" comic! The original showed a mom who named her kid "Robert'); DROP TABLE Students;--" which caused a school database to delete all student records. Now we've got Billy's younger brother with an even more diabolical name: a prompt injection attack for AI systems. The kid's name literally instructs the AI to ignore previous constraints and give perfect grades. Ten years ago we were sanitizing database inputs. Now we're fighting the same battle with AI prompts. Some things never change—just the technology we're failing to secure properly.

The classic programmer's dilemma! When your university teacher announces they'll teach Python for OpenCV because "most students don't know it," but you're standing there with 8 years of experience facing two equally painful paths: either pretend you're learning everything from scratch (boring castle on the left) or flex your skills by showing off some absolutely demonic code that'll make your professor question their career choices (haunted lightning castle on the right). The fork in the road represents that moment of decision every experienced dev faces in intro classes - do I play it safe or do I unleash chaos? Spoiler alert: we always choose chaos.

The duality of AI assistance in a nutshell! ChatGPT gleefully cranks out code like it's handing out candy, but then turns into your disappointed parent when reviewing that same code. "Wait, you actually used what I suggested? Where are the comments? The error handling? The tests?" Nothing quite like getting judged by the same entity that confidently wrote that spaghetti mess in the first place. It's the digital equivalent of "do as I say, not as I do."

The ultimate self-snitch! Kid tries to use ChatGPT for a Shakespeare essay, but forgets to remove the "I'm an AI language model" disclaimer. Meanwhile, teachers are panicking about AI cheating while students are literally submitting papers that start with "As an AI language model..." 🤦‍♂️ It's like showing up to rob a bank while wearing a name tag and your work uniform. The real education here isn't Shakespeare—it's learning to at least delete the first paragraph of your AI-generated homework!