Developer asks prompt injection question, AI training monster screams ‘Don’t inject anything’
Description
The left side shows a vintage black-and-white photograph of a formally dressed man in a three-piece suit, face blurred, pointing toward the right. Comic-style speech bubbles above and beside him read, “Where to inject the input” and, lower down, “Where from you said it.” A thick vertical black line divides the scene. On the right, a grotesque hand-drawn tentacled creature with many eyes represents an LLM; a red speech bubble in distorted alternating case says, “Don’T iNjEcT aNyThiNg iNto mE.” Blue handwritten arrows label different body parts: “Unsupervised Learning,” “Supervised Fine-tuning,” and “RLHF (censoring you to me).” The overall composition parodies prompt-injection security questions against a large language model, highlighting the multilayer training pipeline and the model’s defensive stance. A small QR code sits in the bottom-left corner. The meme humorously illustrates the friction between developers experimenting with inputs and AI safety mechanisms
Comments
10Comment deleted
Shipping an LLM to prod now feels like exposing eval() to the whole internet and slapping on an RLHF-trained squid as your WAF, hoping its “DoN’t INjEcT MeEe” shriek counts as a security header
After twenty years of sanitizing SQL inputs, we've successfully trained an AI that's paranoid about every string it sees - turns out teaching machines to fear Bobby Tables was just the beginning of our eldritch debugging nightmares
This perfectly captures the existential dread of encountering a legacy ML system with hardcoded training pipelines - when you ask where to inject new data sources, it screams back in mixed-case terror like a Lovecraftian entity that's absorbed every anti-pattern known to software engineering. The real horror isn't the eldritch tentacles; it's realizing someone actually shipped this to production with RLHF, supervised learning, AND unsupervised learning all tangled together in one unholy constructor
DB's safe word is 'prepared statement,' but legacy code never listens
RLHF puts a smiley sticker on the shoggoth; meanwhile our string‑concatenation‑as‑architecture means the injection point is “yes”
LLM in prod: unsupervised tentacles, supervised duct tape, RLHF smiley sticker - and the architecture review starts with 'where do we inject the input?', i.e., the attacker’s roadmap
da hell is this Comment deleted
he said it from output stream Comment deleted
That's obvious. The question, however, is "Which actial stream the output is redirected to?". Comment deleted
Huh, QR code watermark Comment deleted