We've Come A Long Way

CES used to mean showing off the latest gadgets for regular folks. Now it's just a parade of AI-powered enterprise solutions, B2B SaaS platforms, and "synergistic blockchain ecosystems" that nobody asked for. The glasses coming off is the perfect metaphor—you're seeing clearly now that the cool consumer tech you were excited about has been replaced by corporate buzzword bingo. Remember when tech shows had actual products you could buy? Yeah, those were the days.

Garry Newman just dropped the most poetic take on AI coding tools I've ever heard. The guy who built Garry's Mod basically said relying too heavily on AI for programming is like watching so much adult content that you can't... perform creatively anymore. And honestly? He's not wrong. When you let Copilot or ChatGPT write all your code, your brain stops doing the heavy lifting. You lose that ability to architect solutions from scratch, to think through problems, to actually create instead of just prompting. It's the difference between being a chef and being really good at ordering DoorDash. The comparison is crude but brilliant. Both involve instant gratification that atrophies your natural abilities. Your problem-solving muscles need exercise, not an autocomplete button. Sure, AI tools are useful—but if you can't code without them, you're not a developer. You're a prompt engineer with a dependency problem.

PC gamers watching their dream GPU become financially out of reach because every tech bro and their startup suddenly needs a thousand H100s to train their "revolutionary" chatbot. Meanwhile, Nvidia's just casually handing out RTX 3060s like participation trophies while they rake in billions from the AI gold rush. Remember when you could actually buy a graphics card to, you know, play games? Yeah, Jensen Huang doesn't. The AI boom turned Nvidia from a gaming hardware company into basically the OPEC of machine learning, and gamers went from being their primary customers to an afterthought. Nothing says "we care about our roots" quite like throwing scraps to the community that built your empire.

When you accidentally push to production instead of staging... 😬 Someone's first day on the job just became their last! Nothing says "I'm fired" quite like leaking government AI plans on GitHub because you confused your repositories. Pro tip: Maybe don't store national secrets with the same tool you use for your personal "learning-to-code" projects. That resume is about to have an interesting gap year.

The SHEER EXISTENTIAL CRISIS when your AI IDE just can't comprehend that your code is STILL BROKEN after you've reported it for the 15TH TIME! 😩 Your fancy AI assistant is just sitting there like "hmm, have you tried turning it off and on again?" while you're on the verge of a complete mental breakdown! The cognitive dissonance between what the AI thinks is helpful and what you actually need is enough to make anyone question their career choices and possibly their will to live. And yet tomorrow, like the coding masochists we are, we'll be right back at it again!

Behold, the modern tech tragedy in three acts: Act I: "I'll let GPT-5 refactor our entire codebase!" Act II: *50+ files changed, 10k+ lines updated, beautiful modular code with best practices* Act III: "None of it works." The perfect illustration of AI's current relationship with coding: makes everything look incredible while secretly plotting your application's demise. That beautiful, clean code is like a gorgeous sports car with no engine—pretty to look at but utterly useless for actually getting anywhere. The punchline "But boy it was beautiful to watch" is the developer equivalent of "The surgery was successful, but the patient died." At least we'll have nicely formatted code to stare at while the production server burns!