Too Real

Google's corporate evolution in one image. Started with "Don't Be Evil" in 2004, now apparently pivoting to "Killbots For Sale" by 2025. Typical tech company lifecycle - begin with idealistic college dorm room philosophy, end with weaponized AI that can efficiently terminate human life. Progress, I guess? Shareholders must be thrilled. Nothing says "increased quarterly earnings" like autonomous killing machines. Just waiting for the AWS Terminator instance pricing page to drop.

The eternal dance between developers and regex—a cryptic language that might as well be ancient runes. When ChatGPT spits out a working regex that looks like someone headbutted a keyboard, what do we do? Copy-paste that mystical incantation and back away slowly. It's the modern equivalent of summoning a demon—you don't need to understand the Latin, you just need the spell to work. And when it does? Pure dopamine. That smug satisfaction of solving a problem without actually understanding the solution is programming at its finest. Future you will hate present you when that regex breaks in six months. But that's a problem for future you, who is, quite frankly, a bit of a buzzkill anyway.

Left panel: Just innocently using "vibe" to describe that sweet mental state where the code flows through your fingers like butter through a hot knife. Right panel: Suddenly realizing everyone thinks you're just copying AI responses because "vibe coding" has become internet slang for "I asked ChatGPT to write this for me." The flow state and AI accusations - two sides of the same monkey.

The progression from "I want to solve complex problems and change the world" to "I want catgirl waifus" is the most accurate career trajectory documentation I've seen. First panel shows normal people walking past Computer Science like it's just another major. Second panel? Nobody cares, doors are closed. Third panel reveals the truth: the CS department is now flooded with weebs and furries who realized they can use programming to generate, mod, or create their own anime content. The pipeline from "learn algorithms" to "learn how to train a Stable Diffusion model for very specific purposes" is real and well-documented across Discord servers worldwide. Computer Science departments went from empty hallways to packed lecture halls the moment AI image generation became mainstream.

Ah yes, the classic tech industry anatomy lesson. OpenAI and Microsoft Copilot are getting all the attention up top, looking shiny and impressive, while the real MVPs—FOSS projects, independent artists, and venture capital—are doing the heavy lifting down below. It's almost poetic how these AI giants are basically standing on the shoulders of... well, everything else. OpenAI scraped half the internet (including your GitHub repos, you're welcome), Copilot trained on millions of lines of open-source code, and both are propped up by billions in VC money that's desperately hoping this AI bubble doesn't pop before they exit. The irony? The open-source community built the foundation, artists unknowingly donated their work to the training sets, and VCs threw cash at it like confetti. Meanwhile, the fancy AI tools get all the credit while casually forgetting to mention the awkward "how did we get this data again?" conversation. Classic tech move—stand on giants, claim you're flying.

Microsoft force-feeding developers their AI coding assistant like it's some miracle elixir. Meanwhile, behind the scenes, it's just regurgitating Stack Overflow answers and GitHub repos that developers wrote in the first place. The circle of code life - write code, have it scraped, then pay to have it suggested back to you. Nature is healing.