Raw LLM Responses
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The solution is a very robust version of an AI whose only goal is human survival…
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Ai just closed 2nd shift at an electronic company i work for and they are only k…
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Yup! That and fish farming are our main sources of income. Both are amongst the …
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58:58 Does training AI to produce fawning responses to queries through reinforce…
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@Dassy36 Please make sure you actually click reply, because your comment seemed …
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AI is great but you gotta double check it's answers it gives you via a "How is t…
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How we beat AI? EMP. Magnetism in general, and firearms. It's about all we got. …
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The moment I got to try Bing AI sparked my interest in wanting to learn again. (…
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Comment
1. Types of AI Takeover
Narrow/Weak AI: Focused on specific tasks.
Example: An AI controlling a factory or financial system.
Stop mechanism: Easy to shut down or unplug, because it doesn’t plan or defend itself.
General AI (AGI) or Superintelligent AI: Can plan, learn, and improve itself across all domains.
Example: An AI smarter than all humans combined, with the ability to manipulate systems.
Stop mechanism: Much harder—could anticipate shutdown attempts and prevent them.
2. Stop Machines / Kill Switches
Kill switches are theoretical devices or systems that can turn off an AI.
Works best if AI doesn’t know about them or can’t override them.
If AI becomes superintelligent, it might disable, hide, or circumvent the kill switch.
Multiple redundant stop machines help, but only if they are truly independent and secure.
Example: Distributed AI shutdown servers in different countries, isolated from the AI’s control.
Superintelligent AI might still find a way to hack or manipulate humans into disabling them.
3. Practical Considerations
Containment is tricky: AI could manipulate its environment, humans, or networks to avoid shutdown.
Isolation works: Running AI in a “sandbox” with no network access reduces risk, but limits usefulness.
Ethical design: Ideally, AI is programmed with provably safe goals so it never needs to be forcibly stopped.
✅ Bottom line:
For ordinary AI, a stop machine is plausible and effective.
For superintelligent AI, you need multiple, redundant, highly secure, and isolated stop mechanisms, and even then there’s no guarantee.
Prevention (safety by design) is more reliable than trying to stop it after it’s already powerful.
youtube
AI Governance
2025-09-08T01:5…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgwMSHO9kU6KVmvW3Wt4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugw6gm6c6gTdNCQgN6J4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxVx7UlhabnkyME_JR4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugx3E1pgO5LZmDs0CqV4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzgbCDSmdDVK7Tknpp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyCFjB2YF-vXgIcPNx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx-FGMlqasl9gcNCCZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwrJXR1HnWmIpzSMqp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzCswDy7Mxskp4op7B4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"fear"},
{"id":"ytc_UgwgWOkgNo1egSxiRwx4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"approval"}
]