Brain Atrophy: The ChatGPT Effect

That's not a white dot, that's Cursor AI sharing your plaintext password file with every hacker on the planet. Nothing says "security professional" like storing credentials in a CSV file named "passwords.csv" and then asking about UI elements while exposing it. Somewhere, a security engineer just felt a disturbance in the force and doesn't know why.

The stark reality of AI development! 🤣 At the top, we've got the cool, confident "Devs who use AI" looking all polished and ready to conquer the world with their fancy prompt engineering skills. Meanwhile, the poor souls actually building these AI systems are down there looking like they haven't slept since 2019, surrounded by empty bottles and existential dread. Nothing says "I understand the transformer architecture" quite like staring into the void at 4pm wondering if your neural network will ever converge! The contrast is BRUTAL - one group thinks they're tech wizards for asking ChatGPT to write their regex, while the other group is questioning their life choices after debugging hallucinations for the fifth straight day!

When AWS says AI is writing 75% of their production code, but then your critical system crashes and "Claude" responds with Elmo surrounded by hellfire. Future of tech, folks! Welcome to 2025 where we've replaced human panic with algorithmic chaos. The best part? The AI doesn't even have the decency to lie and say "we're looking into it" – just enthusiastic agreement while everything burns. Guess this is what happens when your debugging process is just vibing with the void.

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.

Classic Twitter thread where someone who's built absolutely nothing claims AI will replace programmers. First guy says a $200 ChatGPT subscription can replace $145k junior devs. Then a real developer steps in with the reality check: AI needs human supervision to prevent hallucinations and feature creep. When challenged to show what he's built, the AI doomsayer admits he hasn't actually created anything. That thumbs up at the end is just *chef's kiss* - nothing says "I'm qualified to predict the demise of your profession" like having zero experience in said profession.

So Micron just ditched the consumer RAM market to chase AI money, and somewhere in Valve HQ, Gabe Newell is nervously sweating because they just announced the Steam Machine reboot for 2026. You know, that living room PC console thing that flopped harder than a null pointer exception back in 2015? The timing couldn't be worse. RAM prices are about to skyrocket because everyone and their grandma is building AI datacenters, and Valve just committed to shipping hardware that needs... you guessed it... memory. It's like announcing a new car model right as the world runs out of tires. The dog sitting in the burning room perfectly captures Valve's situation - they're watching the memory market implode while pretending everything's fine with their Steam Machine 2.0 plans. Someone's getting fired, or at least they would if Valve had a traditional management structure.