Hiding The Easter Eggs

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 existential crisis every ML engineer faces at 2AM after their model fails for the 47th time. "What is thinking? Do LLMs really think?" is just fancy developer talk for "I have no idea why my code works when it works or breaks when it breaks." The irony of using neural networks to simulate thinking while not understanding how our own brains work is just *chef's kiss* perfect. Next question: "Do developers understand what THEY are doing?" Spoiler alert: we don't.

Ah, the legal loophole of our generation. Guy's literally stealing artwork while wearing a ski mask, but slap "AI training" on it and suddenly it's a legitimate business strategy. The fine print is just *chef's kiss* - "Theft is now legal, so we can boost the economy by eliminating jobs." Nothing says innovation like rebranding burglary as "unsupervised learning from physical datasets." The UK Government seal really ties the whole dystopian vibe together. Just waiting for the next heist movie where instead of "This is a robbery," they announce "We're conducting a data acquisition exercise for our neural network."

Terminal users rejecting the simple ls command in favor of the more verbose $~ Show me the contents of the folder is peak AI prompt era nonsense. Next thing you know they'll be typing "Please, kind terminal, would you be so gracious as to display all hidden files" instead of ls -la . The efficiency is just... gone.

The perfect comparison doesn't exi— oh wait, it does! "Vibe coding" with AI tools is basically gambling with extra steps. You trade real programming skills for the dopamine rush of watching the cursor blink while an AI model hallucinates your next function. That feeling when you're absolutely convinced the next prompt will fix everything is eerily similar to thinking your next pull on the slot machine will make you rich. Meanwhile, actual software engineers are watching prompt engineers with the same expression casino dealers have when someone explains their "foolproof system." And that last row? Pure gold. Nothing quite captures the existential crisis of modern development like realizing you just spent 4 hours crafting the perfect prompt when you could've just written the damn code yourself.

Oh, the classic "elephant in the room" problem has evolved into the "elephant in the AI" problem! ChatGPT was asked to create an image with "absolutely no elephants" yet there's a massive pachyderm chilling in the corner like it's paying rent. This is the digital equivalent of a unit test that passes despite the glaring bug. The AI confidently declares "Here's the image of an empty room with absolutely no elephants in it" while the evidence trunk-slaps you in the face. It's like when your code compiles without errors but still manages to crash spectacularly in production.