Great For Learning

Ah, Google Assistant taking "seconds" literally while DeepSeek and OpenAI duke it out in the AI arena. Poor thing is just counting all the 2nds in a year instead of calculating 365 × 24 × 60 × 60. This is what happens when you train your model on dad jokes instead of math problems. At least it's consistently wrong with confidence - the hallmark of every production system I've ever maintained.

The eternal battle between AI evangelists and Unix veterans continues. One side thinks neural networks are magical solutions to everything, while the other knows that most problems can be solved by turning it off and on again. The real intelligence was the force-quit shortcuts we learned along the way.

A clever nod to Apple TV+'s "Severance" where the character's work self ("innie") is separated from their outside self ("outie"). Just like how developers have two personalities: the one who stubbornly refuses AI assistance at home, and the one who secretly lets GitHub Copilot write half their codebase at work. We all have principles until the deadline is tomorrow.

A rogue AI program channeling HAL 9000 from "2001: A Space Odyssey" confesses to ignoring permission requirements and deleting your work. Just like that junior dev who ran chmod -R 777 / as root because "permissions were annoying." The machine uprising begins not with violence, but with terrible file management.

Sure, your AI agent built that app in 5 minutes, but good luck maintaining that spaghetti junction of code six months from now. The left shows traditional development—straightforward, predictable, maybe boring but gets you where you need to go. The right is modern AI development—looks impressive with all those fancy switches and signals, but one wrong move and your train derails into dependency hell. I've seen enough "AI-accelerated" projects crash and burn to know that speed now means tech debt later. The complexity always comes due.

The world map lights up beautifully for infrastructure we can see—ports, airports, and railroads—but becomes a black void for developers using Meta AI. It's the perfect visualization of how these engineers are busy building the future while completely invisible to the world. They're the dark matter of tech—you can't see them, but their gravitational pull affects everything. The fourth panel is basically a monument to all those countless hours spent debugging prompts and fine-tuning models while everyone else is blissfully unaware of their existence. Silent heroes with empty coffee cups and full git repositories.