GPUs Are For Gaming, Not For Speculation

The duality of modern coding life. First panel: "OMG, GitHub Copilot is free in VS Code?!" *frantically puts on glasses to see clearly* Second panel: "Wait... my code is free for GitHub Copilot?" *realization sets in* Remember when we used to worry about other devs stealing our code? Now we're feeding the AI overlords our precious algorithms so they can regurgitate them to junior devs who'll get paid more than us. The circle of tech life, folks.

Look at this man cradling his RTX GPU like it's his firstborn child at the hospital. The gentle support, the tender gaze, the protective stance—this is PURE paternal instinct kicking in. And honestly? Can you blame him? That thing probably cost more than an actual baby's first year of diapers and has better cooling than most nurseries. The way he's holding it with both hands, making sure not to touch the PCB, checking for any shipping damage—this is the kind of care and devotion that brings a tear to your eye. Meanwhile, his actual future children are somewhere in the void wondering why dad never looked at them with such unconditional love and concern. Fun fact: The RTX 4090 weighs about 4.5 pounds, which is roughly the same as a newborn baby. Coincidence? I think not. Nature is healing.

GitHub Copilot catches a spelling error in a comment and helpfully suggests changing "yipee" to "yippee". The irony? The comment is about manually creating a TOML file. Copilot is now your spell-checker, your code assistant, AND your grammar teacher rolled into one. Nothing says "AI will replace developers" quite like an AI correcting your celebratory exclamations in comments that nobody will ever read anyway. The best part is the disclaimer at the bottom: "Copilot is powered by AI, so mistakes are possible." Yeah, but apparently spelling mistakes in comments are NOT one of them. Your job security is now dependent on whether you can spell "yippee" correctly.

BEHOLD! The modern developer's solution to EVERYTHING! 🙄 Left side: brain literally melting from self-doubt and actual work. Right side: UNHINGED MANIAC screaming "USE AI" at every single problem like it's some magical unicorn dust! Can't debug? USE AI! Need tests? USE AI! Production server on fire? OBVIOUSLY USE AI! The absolute state of programming in 2023 where actual skill has been replaced by frantically pasting errors into ChatGPT and praying it doesn't hallucinate a solution that burns your entire codebase to the ground. Next week's update: "How to blame AI when everything inevitably crashes!"

The ultimate tech resume flex: listing every framework, library, and tool you've ever glanced at for 0.5 seconds. That massive word salad of technologies—from Python to TensorFlow to "purrr"—is peak developer peacocking. The punchline is genius though. Asking recruiters to identify which ones are Pokémon is the perfect trap since several of these actually sound like Pokémon names (looking at you, "sparklyR" and "vulpix"—and yes, Vulpix is actually a fire-type Pokémon). It's the perfect litmus test for technical recruiters who claim to understand what you do but can't tell a data visualization library from something that shoots thunderbolts.

ABSOLUTE CHAOS BEHIND ME? Couldn't care less! My neural network is THRIVING on those sweet, sweet 32 gigabytes of video RAM! While mere mortals panic about the metaphorical house fire that is our AI models consuming astronomical computing resources, I'm just standing here with that smug little smile knowing my GPU can handle it. Who needs ethical considerations or efficiency when you can just throw more VRAM at the problem?! The data center might be melting down, but at least my model can hallucinate cat pictures in 8K resolution! 💅