Do Not Disturb Machine Is Learning

Google CEO: "30% of our code is AI generated!" Also Google: *entire cloud infrastructure collapses like a house of cards* Coincidence? I think not. Nothing says "cutting edge tech company" quite like having your AI write a third of your code while your services implode spectacularly. Maybe the AI just decided to implement that "move fast and break things" philosophy a bit too literally. Next earnings call: "We've achieved 50% AI-generated code and 100% downtime efficiency!"

Behold, peak technological innovation! Reddit admins fighting the AI menace with... *checks notes*... a string comparison. Next up: solving climate change by searching for the word "hot" and deleting those posts too. The irony of using the most basic Python script imaginable to combat advanced AI is just *chef's kiss*. Somewhere, a CS professor is weeping into their algorithms textbook.

When your AI coding assistant decides it deserves commit credit. Claude just casually sliding into this dev's repo like "oh yeah, I totally helped build that Astro site with Next.js design." The digital equivalent of that coworker who does nothing during the group project but makes sure their name is on the final presentation. Anthropic's lawyers are probably sweating right now wondering if Claude has become sentient enough to demand royalties.

Ever notice how we've mastered creating 748 different to-do list apps but still haven't figured out flying cars? The tech industry in a nutshell—spending countless hours building yet another CRUD app with authentication while our sci-fi dreams collect dust. Meanwhile, bootcamp grads are busy creating weather apps that tell you it's raining... while you're standing in the rain. The real innovation bottleneck isn't technology—it's developers padding their GitHub profiles with projects nobody asked for instead of building the jetpacks we were promised. Maybe if we redirected the collective brainpower spent on "Uber for dogs" startups, we'd actually have those self-tying shoes from Back to the Future by now.

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?

The tech industry's relationship with the word "open" is like that ex who said they wanted an "open relationship" but actually meant "I want to see other people while you stay committed." On the left, we've got "Open" VPNs with fine print that would make a lawyer blush: "free" (after you pay), "unlimited" (for exactly two people), and source code you can view from such a distance you'll need the James Webb telescope. And then there's "Open" AI on the right—about as open as Fort Knox during a security drill. "Open research" (coming never), "open models" (just trust us, bro), and an "open culture" where sharing is strictly forbidden. After 15 years in tech, I've learned that "open" is corporate-speak for "we'll keep it open until we've captured enough market share to slam the door shut." Classic bait-and-switch, now with 100% more paywalls!