What More Can I Do?

Google's AI Overview just confidently explained that matrix multiplication "is not a problem in P" (polynomial time), which is... hilariously wrong. Matrix multiplication is literally IN the P complexity class because it can be solved in polynomial time. The AI confused "not being in P" with "not being solvable in optimal polynomial time for all cases" or something equally nonsensical. This is like saying "driving to work is not a problem you can solve by driving" – technically uses the right words, but the logic is completely backwards. The AI hallucinated its way through computational complexity theory and served it up with the confidence of a junior dev who just discovered Big O notation yesterday. And this, folks, is why you don't trust AI to teach you computer science fundamentals. It'll gaslight you into thinking basic polynomial-time operations are unsolvable mysteries while sounding incredibly authoritative about it.

When you dive into machine learning without understanding the fundamentals, things go sideways real quick. Poor Hulk thought he'd build a sophisticated image recognition system, but ended up with code so broken it's just spitting out random numbers. It's the classic journey from "I'll just follow this tutorial" to "why is my neural network predicting that cats are submarines?" The tears are real – we've all been there, staring at our monitor at 2AM wondering how our brilliant AI project turned into digital soup. Machine learning: expectation vs reality in its purest form.

THE ABSOLUTE STATE OF MODERN PROGRAMMING! 😭 Look at us, the so-called "tech geniuses" of our generation, reduced to begging AI overlords to fix our punctuation! I'm literally sitting here at 2AM, staring into the void, wondering if my entire career has come down to asking ChatGPT "pretty please add the semicolon I was too lazy to type." The semicolon - that tiny punctuation mark standing between me and functional code - and I've outsourced even THAT responsibility! Next thing you know, I'll be asking it to breathe for me because manual respiration seems like such a chore! The future is here, and it's pathetically hilarious!

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.

Garbage in, garbage out—but with extra steps! When you feed an AI model your terrible code as training data, don't act shocked when it spits back equally terrible solutions. It's like teaching a parrot all your worst swear words and then being surprised when it curses during family dinner. The circle of code life continues: your technical debt just found a way to reproduce itself through artificial intelligence.

Behold, peak technological innovation! Reddit admins fighting the AI menace with... *checks notes*... a string comparison. Next up: solving climate change by searching for the word "hot" and deleting those posts too. The irony of using the most basic Python script imaginable to combat advanced AI is just *chef's kiss*. Somewhere, a CS professor is weeping into their algorithms textbook.