They Have Strange Relationship

Someone out here really said "self-driving cars? Easy peasy!" and dropped the most catastrophically naive code snippet known to humanity. Just casually solving autonomous vehicle engineering with if(goingToHitStuff) { don't(); } like they just cracked the Da Vinci Code. Tesla engineers spending BILLIONS on neural networks, LiDAR systems, and complex decision trees while this genius over here is like "have you tried... just not hitting things?" Revolutionary. Groundbreaking. Nobel Prize incoming. This is the programming equivalent of telling someone with depression to "just be happy" – technically correct in theory, absolutely useless in practice. Because yeah, if only those silly engineers thought to add a don't() function! Problem solved, pack it up everyone, autonomous driving is DONE.

The eternal developer dilemma of our times! Stack Overflow: where your innocent question gets obliterated with "YOU ARE ABSOLUTELY WRONG" by someone with 500k reputation who's been coding since FORTRAN was cool. Meanwhile, ChatGPT is over there like "YOU ARE ABSOLUTELY RIGHT" even when you ask if you can solve P=NP with a for loop. The validation we crave vs. the validation we deserve. The digital equivalent of asking your strict professor versus asking your supportive grandma who thinks everything you do is brilliant. Honestly, sometimes being told you're right—even when your code is a flaming dumpster fire—just hits different.

The noble aspirations of AI research versus the grim reality of where computational power actually goes. On the left, we have AI detecting breast cancer 5 years before it develops—potentially saving countless lives. On the right, some poor GPU is being absolutely tortured to render a cow at 15 FPS in what appears to be the world's jankiest video game, complete with a rage-filled gamer screaming about "fake frames." It's the perfect encapsulation of humanity's priorities: we build supercomputers that could solve humanity's greatest challenges, then immediately use them to make slightly better cow animations. The bottom corner showing all those graphics settings (RTX, DLSS, etc.) is just the chef's kiss of overkill for whatever that monstrosity is supposed to be.

The eternal management fantasy: someone built an entire system in 2 days using GPT-4! Meanwhile, you're sitting there knowing it would take weeks of actual coding, testing, and debugging to make anything remotely production-ready. But sure, let's pretend AI can magically "vibe code" complex systems while ignoring all those pesky details like security, edge cases, and technical debt. Next they'll be asking why you can't just "GPT" the entire codebase over the weekend for free. Bonus points if they use the phrase "it's just a simple feature" while explaining their impossible timeline!

PC gamers getting absolutely demolished from every possible angle. Bitcoin miners drove GPU prices to the moon, AI training suddenly needs every RTX card ever manufactured, and Micron casually dipped out of the consumer market. Meanwhile NVIDIA's just standing there watching the chaos unfold, probably calculating profit margins. And then there's "Poor Optimization" - the real villain nobody wants to talk about. Your dream PC getting absolutely kicked in the teeth because some AAA studio decided 8GB VRAM should be the minimum for their unoptimized mess. You can't even upgrade your way out of bad code. The GPU shortage era was wild. People were camping Newegg like it was a Supreme drop, paying scalper prices that would make a loan shark blush, all while game devs kept pushing "recommended specs" higher. Fun times.

Putting on glasses to transform from "LLM Engineer" to "Knows about openai, anthropic and google-genai package" is peak tech industry smoke and mirrors. It's like calling yourself a "Cloud Architect" because you once deployed a WordPress site to AWS. The glasses don't add intelligence—they just help you see through the BS of your own job title. Next time someone introduces themselves as an "LLM Engineer," ask them if they can actually explain a transformer architecture or if they just know how to copy-paste API keys.