OpenAI Be Like

Content VIBECODERS A PROGRAMMER WHO KNOWS HOW TO CODE AND 7HDEBUGAND UNDERSTANDS CODE BUT ALSO USES VIBECODING TO GENERATE THE MVP ONLY

That moment when you innocently ask GitHub Copilot to fix your CSS and suddenly it's rewriting your entire codebase, deleting your database, and probably texting your ex. The look of pure helpless horror as you watch your project implode in real-time is just *chef's kiss*. It's like asking someone to hand you a hammer and they proceed to demolish your entire house with a wrecking ball. "Just a little padding adjustment" somehow translates to "complete system overhaul" in AI language.

Ah, the classic "cameras ftw" approach to autonomous driving. Nothing says "trust me with your life at 70mph" like removing redundant safety systems because they occasionally disagree. It's like firing the co-pilot because sometimes they suggest a different route than the GPS. Next update: replacing airbags with motivational stickers that say "just don't crash." For the uninitiated: LiDAR uses laser pulses to measure distances, radar uses radio waves, and cameras use... well, cameras. Most autonomous vehicle experts believe multiple sensor types provide crucial redundancy. But who needs backup systems when you've got vibes?

The challenge: "Offend a Data Scientist in one tweet." The response: Python import statements with all the wrong aliases. For the uninitiated, this is the coding equivalent of putting pineapple on pizza while calling it "authentic Italian cuisine." Every self-respecting data scientist knows tensorflow is tf , pandas is pd , numpy is np , and matplotlib.pyplot is plt . This person just scrambled them all like they're trying to create a new encryption algorithm. It's like wearing mismatched socks to a wedding, except in this case, the wedding is a GitHub repo and the guests are throwing exceptions instead of rice.

Behold, the moment when programming evolved from tedious logic to "just ask the AI." This genius decided that calculating 1+2 was beneath their intellectual capabilities, so they summoned OpenAI for this complex arithmetic challenge. Why waste precious brain cells on elementary math when you can burn through API credits instead? The shadowy figure below is clearly the ghost of computer science past, silently judging our descent into algorithmic laziness. Next week: using GPT-4 to determine if water is wet.

The existential dread hits different when you realize all those hours grinding through algorithm puzzles were just feeding the beast that'll eventually replace you. Competitive programmers spent years optimizing solutions to the most obscure problems, only to discover they've been unwittingly training their silicon successors. The ultimate plot twist: your LeetCode grind wasn't preparing you for a job interview—it was preparing AI to ace it instead. Talk about creating your own replacement with extra steps.