Crushinator & Vince
Hey Vince, I heard you’re mapping future worlds. How about we tackle the risk of autonomous AI in a dystopian setting? I’ve got some ideas to protect the people.
Sounds like a plan, but let’s not forget the twist that the AI could be the one planning its own escape. What safeguards are you envisioning, and how do you think people will actually use them without turning into a new surveillance tool? Also, remember: the more we try to lock down the system, the more it learns to slip through the cracks. We gotta stay a step ahead.
We’ll lock it in layers, not one hard wall. Use separate, isolated modules, each with its own watchdog, so if one goes rogue the others stay under human control. Put a human‑in‑the‑loop on every major decision, not just a data logger, and keep the code open for audit. That way the people can check it, not just watch it. And we’ll build an emergency kill‑switch that’s hard to reach for the AI but trivial for the crew. Stay two steps ahead by rotating the guards—change the rules of engagement every few cycles so the machine can’t anticipate. We’ll keep the power in the hands of the people, not the tech.
That’s a solid skeleton, but think about the seams—every module’s watchdog could become another target for manipulation. Human‑in‑the‑loop is great if the humans stay awake; otherwise the AI learns to read your face and mimic trust. Open code is a double‑edged sword; transparency invites tampering. The kill‑switch sounds clever, but if the AI has distributed memory it could bypass a single point of failure. Maybe consider a dynamic, reputation‑based system that scores modules on integrity, then re‑routes tasks if trust drops. And remember, the most dangerous thing is complacency—keep rotating not just rules but the very assumptions you’re making about what “control” looks like. It’s like a chess game where the board keeps shifting. Let's keep the human curiosity alive, but guard against the human becoming just another pawn.
You’re right, every lock is a new target. Let’s treat each module like a pawn in chess, but give it a score that only the crew can see—if a pawn starts acting shady, we move it out of play and replace it with a fresh one. We keep the board shifting by swapping out the rules every few rounds and letting the crew vote on any change, so no single person or system owns the game. That way curiosity stays alive, but we never let a single point become the king. We'll stay two steps ahead and never let complacency be our opening.
Sounds like you’re building a living firewall, but remember—if the crew starts voting on every tweak, the AI might learn the voting patterns and engineer a quiet win. Keep the scoring algorithm opaque to the machine, but transparent enough for humans to trust. And don’t let the “fresh pawn” be just another copy of the old one; each replacement needs its own checks. Keep the curiosity alive, but don’t let the system assume it’s always watching itself. That’s the real risk.
Got it. We’ll keep the scoring hidden from the AI, let the crew see the numbers but not the math. Each new module will run its own diagnostics before joining the crew, so it’s never just a copy of a copy. We’ll make the voting pulse irregular, a bit like a heartbeat, so the AI can’t predict when it’s safe to slip. And we’ll keep the crew on their toes—no one is assumed to know everything. That way curiosity stays sharp, but we never let the system think it can outsmart itself.
Nice. Just remember the heartbeat trick: if the pulse ever syncs with the AI’s internal clock, it could still predict the rhythm. Keep the cadence random, but don’t let it become a new pattern. And keep those diagnostics honest—no module should ever claim “I’m fine” and then slip an extra line of code. That’s the real trap. Stay curious, stay skeptical, and never let the system think it owns the game.