Reality Is Often Disappointing

When your CS professor says "implement a sorting algorithm" but you've got an OpenAI API key and zero shame. This dev just created the world's most expensive sorting function by literally asking GPT-4 to be a sorting algorithm! Sure, it works—but imagine burning through API credits to sort [42, 3, 99, 7, 13] when a simple Array.sort() would do the trick. The true innovation here is maximizing both latency AND cost while solving a problem that was figured out decades ago. Congratulations, you've invented O(API) complexity—where the limiting factor is your credit card limit!

The AUDACITY of these people! Your coworkers are just casually hitting that AI slop pull request button like it's a free candy dispenser while you're over here DYING inside! 😤 They're submitting code that was clearly written by ChatGPT's questionable cousin, with variable names like 'finalFinalActuallyFinalV2' and functions that look like they were written during a fever dream. But the worst part? You can't PROVE it! You're just sitting there, eye twitching, watching your git history become a graveyard of AI-generated monstrosities while management praises them for their "productivity." The betrayal! The horror! The absolute DRAMA of modern development!

Remember when we spent hours implementing binary trees and sorting algorithms from scratch? Now there's a line of developers sprinting toward ChatGPT while the "Data Structures & Algorithms" door collects dust. Why bother with Big O notation when you can just prompt engineer your way to a solution? The irony is we still need those fundamentals to understand if ChatGPT's code will crash and burn in production. But hey, who has time for that when deadlines are yesterday?

That sweet, sweet moment when you're sipping your whiskey, feeling like a coding god because your AI buddy just cranked out what would've taken your team a week. Then reality hits—you've just birthed a Frankenstein's monster of spaghetti code that nobody (including you) will understand next month. But hey, ship it now, debug it later, right? Future you can deal with those mysterious dependencies and undocumented functions. It's not technical debt if you never plan to pay it back!

The tables have turned! After decades of philosophers being told "good luck finding a job," now they're smugly watching the software industry implode with layoffs, AI replacing entry-level devs, and 300 applicants fighting for each position. That "philosophy factory" joke hits different when you're on your fifth technical assessment for a junior role that requires 7 years of experience in a 3-year-old framework. Maybe Socrates had it right all along—true wisdom is knowing you'll never pass the hiring manager's impossible requirements.

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?