Time Traveler's Interview Fail

Google's AI Overview just confidently explained that matrix multiplication "is not a problem in P" (polynomial time), which is... hilariously wrong. Matrix multiplication is literally IN the P complexity class because it can be solved in polynomial time. The AI confused "not being in P" with "not being solvable in optimal polynomial time for all cases" or something equally nonsensical. This is like saying "driving to work is not a problem you can solve by driving" – technically uses the right words, but the logic is completely backwards. The AI hallucinated its way through computational complexity theory and served it up with the confidence of a junior dev who just discovered Big O notation yesterday. And this, folks, is why you don't trust AI to teach you computer science fundamentals. It'll gaslight you into thinking basic polynomial-time operations are unsolvable mysteries while sounding incredibly authoritative about it.

The brutal reality of zero-indexed arrays strikes again! Dad asks kid to count to ten, but the poor child starts with "1, 2..." instead of the programmer-approved "0, 1, 2...". Next frame: straight to the orphanage! 😱 Every programmer knows arrays start at 0, not 1. It's the hill we die on (or apparently disown children over). The kid committed the cardinal sin of using 1-indexed counting in a 0-indexed household. No wonder dad's debugging tears are flowing - his offspring has a critical logic error!

When your sneaky request for "one more day" causes the judge's sentencing algorithm to wrap around into negative territory! The -32.768 years is exactly what happens when a 16-bit signed integer overflows from its maximum value (32,767) to its minimum (-32,768). Instead of extending your sentence, you've basically hacked the judicial system with an unhandled edge case. Free to go and grab another McD's drink while the court IT department frantically debugs their legacy C code!

The moment when you realize those intimidating Greek symbols from calculus are just fancy for-loops in disguise! The Σ (sigma) notation is literally just a sum = 0 followed by a for-loop that adds stuff up. And that scary Π (pi) symbol? Just a prod = 1 with a for-loop that multiplies things together. Computer science majors smugly realizing they've been doing advanced math all along without the pretentious notation. Take that, pure mathematicians!

Oh. My. GOD! Bitcoin mining explained in the most SAVAGE way possible! 😱 Imagine playing a cosmic lottery where you're trying to guess a number between 1 and 10 22 (that's a 1 with TWENTY-TWO zeros after it, sweetie). The odds are so astronomically ridiculous that your computer would literally burst into flames before guessing correctly! Yet here we are, with thousands of miners worldwide melting the polar ice caps with their electricity consumption just to play this mathematical slot machine from hell. And for what? The CHANCE to win 3.125 Bitcoin that they'll probably never sell because "it might go up more." The delusion is BREATHTAKING!

Salvation through functional programming! The creator of this masterpiece has blessed us with the holiest of conditional statements—baptism implemented in Haskell. The function returns Maybe Person because even divine intervention respects type safety. If you're already baptized? Return Nothing . Otherwise, you get Just (markBaptized p) . The conditionalBaptize function even uses monadic composition with maybe to handle the uncertainty of salvation. Next time your code needs saving, remember that even spiritual transformations can be expressed as pure functions with no side effects—except eternal life, of course.