The Sacred Flowchart Of AI Copy-Pasta Ethics

The AI evangelists are out here with their apocalyptic prophecies about AGI emerging any day now, telling us we need to "adopt AI workflow or be left behind" like it's some kind of tech rapture. Meanwhile, they're literally just regurgitating the same corporate fearmongering that's been used since the dawn of capitalism: "adapt or perish," "embrace change or get replaced," "the future is now, old man." The kicker? Both messages are identical fear-based manipulation tactics. One threatens you with technological obsolescence, the other with literal eternal damnation. Same energy, different buzzwords. The "normal person" in the room sees right through it – whether it's End Times prophecy or AGI doomsday predictions, it's the same playbook of manufactured urgency to get you to comply. Plot twist: we've been hearing "AI will replace developers" for years now, yet here we are, still debugging production at 3 AM because the AI suggested using a dictionary as a database.

Ah, the tech stack of modern civilization depicted as a Jenga tower that somehow hasn't collapsed yet. At the bottom, we've got ASML making the chips while C developers write dynamic arrays that would make any memory manager weep. The Linux Foundation holds up the entire internet while DNS occasionally decides whether your websites exist today. AWS and Cloudflare keep the lights on while unpaid open source developers silently prevent digital apocalypse. Meanwhile, AI sits there looking smug while Microsoft does... whatever it is Microsoft does these days. And there you are, somewhere in the middle of this precarious structure, just trying to make a web app that doesn't crash when someone types an emoji.

This is basically a character selection screen for the tech industry, and honestly, I've met every single one of these people. The accuracy is disturbing. My personal favorites: The Prompt Poet (Dark Arts) who literally conjures code from thin air by whispering sweet nothings to ChatGPT, and The GPU Peasant Wizard who's out here running Llama 3 on a laptop that sounds like it's preparing for liftoff. The "mindful computing" part killed me—yeah, very mindful of that thermal throttling, buddy. The Toolcall Gremlin is peak AI engineering: "Everything is a tool call. Even asking for water." Debugging method? Add 9 more tools. Because clearly the solution to complexity is... more complexity. Chef's kiss. And let's not ignore The Security Paranoid Monk who treats every token like it's radioactive and redacts everything including the concept of fun. Meanwhile, The Rag Hoarder is over there calling an entire Downloads folder "context" like that's somehow better than just uploading the actual files. Special shoutout to The 'I Don't Need AI' Boomer who spends 3 hours doing what takes 30 seconds with AI, then calls it "autocomplete" to protect their ego. Sure, grandpa, you keep grinding those TPS reports manually.

So you're trying to be a good developer and use type hints in Python. You even ask ChatGPT for help because, hey, why not? It shows you this beautiful dataclass example with Dict[str, int] as a type hint for your stats field. Looks professional, looks clean, you copy it. Then you actually try to use it and Python just stares at you like "what the hell is this?" Because—plot twist—you can't use Dict from the typing module as the actual type for field(default_factory=dict) . That needs a real dict , not a type hint. The type hint is just for show—it doesn't actually create the object. It's like ordering a picture of a burger and wondering why you're still hungry. Type hints are documentation, not implementation. ChatGPT casually forgot to mention that tiny detail, and now you're debugging why your "correct" code is throwing errors. Classic AI confidence meets Python's pedantic reality.

Top panel: Developer smugly thinking they're writing masterful code. Bottom panel: Reality check - they're just watching a loading spinner while ChatGPT does all the work. It's the modern equivalent of putting your feet up while the intern does your job. Except now the intern is an AI that doesn't complain about coffee runs or need college credit.

Ah, the ancient scrolls of IBM wisdom. Back when computers were the size of rooms and management actually understood their limitations. Fast forward to 2023: "Let's have the AI make all our business decisions!" Meanwhile, when something breaks, it's still the human's fault. Funny how we've gone from "computers shouldn't make decisions" to "the algorithm said we should fire 30% of staff, so..." I'm sure this sign is framed right next to the "THINK" posters in IBM's museum of ignored advice.