You Evaluate, AI Creates

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.

ChatGPT confidently declaring there are 9 triangles when most humans can only spot 4 is the perfect metaphor for AI development. It's either seeing mathematical patterns beyond our comprehension or just making stuff up with unwavering confidence. The real AGI achievement isn't counting triangles—it's the audacity to be wrong with such conviction that you start questioning your own sanity. Next up: AI explaining why your code works when it absolutely shouldn't.

Oh the sweet, sweet irony! 😂 Remember when everyone was freaking out that ChatGPT would replace developers? Now we've got Deepseek coming for ChatGPT's throne! It's like watching AI cannibalism in real-time - the robots are eating each other before they even get to our jobs! The circle of tech life continues... today's disruptor becomes tomorrow's disrupted. Guess ChatGPT should update its resume and start practicing those interview questions! Even AI can't escape the relentless march of newer, shinier technology!

Just what we needed - startups promising to swap our heads like Lego pieces, but can't deliver until "within a decade." Classic tech vaporware with a side of body horror! They'll probably ship the beta with known bugs like "occasional neck disconnection" and "consciousness randomly migrates to the cloud." Meanwhile, their pitch deck shows a 500% growth projection based entirely on VC partners who want spare bodies for when they burn out their current ones. The finest example of "we were so preoccupied with whether we could, we didn't stop to think if we should" since cryptocurrency-powered toasters.

Ah, the classic "models" folder misunderstanding. While she's expecting to find questionable photoshoots, you're just a data scientist with PyTorch and scikit-learn files. The disappointment on her face says it all—she was ready for scandal but found... *checks notes*... pickle files and Python tensors. The relationship might need a flowchart to explain that your "hot models" are just neural networks with good accuracy scores.

That thousand-yard stare when you've just spent hours debugging someone's ChatGPT-generated WordPress PHP abomination. The code technically "works" but violates every coding standard known to mankind. You've fixed it, but at what cost? Your soul? Your sanity? Both? This is the face of a developer who just discovered 17 nested if statements and a function named "do_the_thing_please_work()" with 300 lines of uncommented spaghetti code. The war flashbacks are real.