Priorities First: Zero-Indexed Relationship

The double standard of AI acceptance is painfully real. Write code with AI? The dev community collectively snores. Generate a slightly wonky sunset image? Suddenly everyone's a digital art critic with opinions stronger than their coffee. The tech world's selective outrage meter is basically: AI-generated code that powers critical infrastructure: Meh, whatever works AI-generated art with one too many fingers: CRIME AGAINST HUMANITY! Meanwhile, artists are in the corner watching their jobs evaporate while developers keep telling themselves "AI just helps me code faster" as it quietly writes their entire authentication system.

The FOUR STAGES OF API HELL, darling! 💀 First, you're ECSTATIC because you got a 200 response! You're practically throwing a parade for yourself! 🎉 Then the BETRAYAL hits - call actually failed but they had the AUDACITY to send a 200 with an exception stack trace buried in the response! The DRAMA! 😱 Next, you're playing detective with ZERO documentation, squinting at your screen like you're trying to decode ancient hieroglyphics! Sherlock Holmes could NEVER! 🔍 And finally, the ultimate insult - having to include the framework in your request body AS A HEADER?! What kind of sadistic monster designed this API? I can't even! This is why developers drink! 🍸

Oh boy, the classic bait-and-switch of coding course ads! The top shows this pristine little C++ snippet promising "Success" if you just set c_foundation_course = true and Focus = 100 . Meanwhile, the Drake meme below tells the actual truth - rejecting the fantasy that coding = success and embracing the harsh reality that coding = false (aka "why is my code still broken at 3am?"). It's the perfect representation of what happens when expectation.js meets reality.exe and throws an uncaught exception: Error: Promised_Career_Not_Found .

Content my linkedin profile R, python, javascript, shiny, dplyr, purrr, ditto, ggplot, d3, canvas, spark, sawk, pyspark, sparkly, lodash, lazy, bootstrap, jupyter, vulpix, git, flask, numpy, pandas, feebas, scikit, pm, bayes, h2o.ai, sparkling-water, tensorflow, keras, onyx, ekans, hadoop, scala, unity, metapod, gc, cllc, krebase, neoj, hadoop. I typically ask recruiters to point out which of these are pokemon.

Content A DISCUSSION ABOUT AI IT'S ABOUT imoflip.com AL GENERATED ART

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