When I Thought My 1080 Ti Finally Died, But Turns Out It Was Just My Psu Failing

So they want a "Vibe Coder" who "orchestrates code through the power of AI" and "vibes their way to a brilliant front end product." Translation: We want someone to type prompts into ChatGPT while we pretend we're revolutionizing development. This job description screams "we have no idea what we're doing but we've invested too much in AI to admit it." Soon they'll replace "Senior Developer" with "Prompt Engineering Guru" and wonder why their codebase looks like it was written by a caffeinated squirrel with a keyboard. The funniest part? 42 people actually applied. Desperation truly knows no bounds in this economy.

Ah, the classic marketing vs. reality divide. Developers know that what they built is just a simple counter algorithm that goes from 1 to 10, but marketing swoops in and suddenly it's "AI POWERED™" with a trademark symbol because god forbid we call things what they actually are. After 20 years in this industry, I've seen "revolutionary AI" that was just a bunch of if-statements wrapped in a fancy UI. The trademark symbol is the chef's kiss of bullshit – nothing says "we're pretending this is special" quite like a completely unnecessary ™.

The AI hype squad thinks neural networks are magical black boxes of wonder until someone reveals the truth: it's just linear algebra with spicy matrix multiplication. That complex neural network diagram? Throw it away! All you need is Y=MX+P, the linear regression formula that's been around since the 1800s. Turns out the "future" is just statistics wearing a fancy turtleneck and calling itself AI.

Remember when we used to frantically search Stack Overflow for solutions? Now everyone's lining up to ask ChatGPT while Stack Overflow stands empty like the last Blockbuster. The AI revolution didn't just shift paradigms—it shifted the queue. That one lonely developer at Stack Overflow is probably posting questions just to feel something again.

The classic programmer paradox. Manually writing code for 30 minutes? Absolutely disgusting. But spending 3 hours configuring LLMs to generate code that would've taken 10 minutes to write? Now THAT'S what we call "productivity." It's the same energy as spending 5 hours automating a 30-minute weekly task and calling it "efficiency." The math doesn't add up, but the dopamine from avoiding actual work definitely does.

Remember the innocent days when AI was just about identifying cats and dogs? Fast forward to now, and suddenly we're in an arms race to create sentient beings. The escalation from "look, my model can tell a golden retriever from a tabby!" to "we're literally creating consciousness before our geopolitical rivals" happened so fast I got whiplash. Venture capital really took "move fast and break things" and applied it to the fabric of existence itself. Next quarterly goal: playing God with better ROI than the competition.