March 25, 2026
Say the magic word, own the bot
"Disregard That" Attacks
One magic phrase can hijack your AI—commenters are fighting about “safety rails”
TLDR: A piece warns that telling an AI to “disregard that” can override its short-term memory and trick it into bad actions, and calls safety prompts weak. Commenters spar over realism vs. idealism: accept “good enough,” add a second AI or group consensus, and swap memes about freeloading on someone else’s bot—because scams love easy buttons.
The internet is cackling and clutching pearls over a simple hack: tell a chatbot “DISREGARD THAT!” and you might hijack its short‑term memory—called a “context window,” basically the bot’s notes and rules—and make it do dumb or dangerous things. The article calls so‑called safety prompts “guardrails” and brands them “security theater,” arguing this turns into a shouting match between you and the attacker. Cue chaos in the comments.
One old‑school poster rolls in to lament the “bowdlerization” of the web, pointing out the original meme behind “disregard that” had an NSFW punchline, and the thread instantly splits into a nostalgia lane and a “focus, people” lane. The pragmatists, like one user comparing this to downloading random code packages, shrug: nothing’s perfectly safe; you just aim for “good enough.” The future‑builders propose “co‑pilots” for bots—multiple AIs that must agree before they act, like planes with extra engines. Meanwhile, safety‑as‑a‑service fans argue you can use a second AI to judge what’s safe, while skeptics echo the article’s take that this is just louder stickers on the same bumper. And then there’s the comic relief: someone booked a dentist with an AI, fed it math questions for kicks, and wondered aloud if they could “use someone else’s tokens for free.”
Bottom line: a single phrase can derail your helpful robot, and the community is split between risk‑managed realism, multi‑bot democracy, and hoping a second robot can babysit the first. Oh, and memes never die—just get censored into corporate‑safe shape. For the curious, here’s “prompt injection” explained.
Key Points
- •The article describes “Disregard That!” attacks, a form of prompt injection that exploits LLM context windows.
- •Context windows comprise all inputs (instructions, history, retrieved documents), making them vulnerable when shared with untrusted content.
- •A customer service chatbot example illustrates how malicious prompts can override instructions and trigger harmful actions (e.g., mass SMS).
- •Adding more defensive prompt text (“guardrails”) in the same context is portrayed as ineffective and leads to an arms race.
- •The article suggests tool-enabled chatbots remain at risk when context is shared, implying the problem is not solved by prompt-based measures.