Meet Potential Sorting Algorithm

Content the college project teammate barely does anything of value but wants to present the important parts Doesn't contribute, claims credit " BOTTOMLESS PIT Doesn't know anything about the project, ruins presentations Expected contribution: 0 Delivers: negative can't produce a single sentence without using Chat gpt "I showed up late cause I slept in, so that's your fault

The eternal battle between creative types and code monkeys! While artists scream "BLASPHEMY!" at AI taking over their sacred artistic duties, engineers are practically weeping tears of joy at being liberated from tedious tasks. Finally, no more staying up until 3 AM debugging that one function that keeps returning NaN for absolutely no logical reason! The sweet, sweet automation revolution has engineers experiencing rapture while artists experience... well... rapture of a different kind. The great AI takeover: career-ending catastrophe or divine intervention? Depends entirely on which side of the STEM divide you've planted your flag!

Busted! Someone clearly asked ChatGPT to write their paper introduction and forgot to remove the dead giveaway: "Certainly, here is a possible introduction for your topic!" 🤦‍♂️ This is what happens when researchers try to shortcut the publication process! The highlighted section screams "I made AI do my homework" in a prestigious scientific journal. The paper is about fancy lithium battery technology, but all anyone will remember is this epic AI footprint left behind. Peer reviewers must have been napping that day. This is like leaving the price tag on your wedding dress or forgetting to remove "insert company name here" from your cover letter. Academic publishing: now with 100% more obvious AI artifacts!

Control engineers having a field day with this one! The left shooter is decked out with fancy high-tech gear representing complex control algorithms like Model Predictive Control (MPC), Linear Quadratic Regulator (LQR), H-infinity synthesis, and all those neural network goodies. Meanwhile, the right shooter with just a basic pistol represents PID Control - that simple, reliable workhorse that's been keeping our thermostats, drones, and industrial processes running since the 1920s. Despite all our fancy mathematical advancements, sometimes the simple PID controller (Proportional-Integral-Derivative) still gets the job done just as well! It's like bringing a calculator to a math competition while everyone else lugs in supercomputers. Engineering's greatest flex is knowing when simple is better than sophisticated!

Remember thinking neural networks were complicated? Fred here just exposed machine learning for what it really is—glorified 7th grade algebra! The top panel shows a complex neural network diagram with all its fancy nodes and connections, but Fred's like "nah bro, it's just Y=MX+P" (which is basically the slope-intercept form we all learned, except with P instead of B). That moment when you realize AI is just middle school math wearing a trench coat and fake mustache. The machines aren't taking over; they're just doing homework from 2003.

When your AI-generated chemistry mechanism has "besr substututerd" instead of "best substituted" but still manages to include carbocations and radicals correctly. Organic chemists can sleep soundly tonight knowing that spelling errors will save their careers from automation. The machine knows the reaction, but can't proofread to save its life. Classic case of high theoretical knowledge, low practical application - just like that one postdoc who keeps setting off the lab alarm.