Raw LLM Responses

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As a professional software engineer who uses AI tools daily — from autonomous agents to integrated assistants in code editors — I find it hard to take seriously the claim that a future AI couldn’t be shut down. These systems ultimately run on physical servers powered by electricity. From a software engineering perspective (even without being an AI researcher), it seems extremely unlikely that there would be no way to disable or dismantle a system we ourselves built. Kill switches, air-gapped environments, power cutoffs, and hardware destruction are all trivial fallback options. There’s also a huge leap in assuming an AI could somehow “escape” its containment by magically rewriting the entire internet stack, bypassing decades of hardened protocols, operating systems, and network security. Yes, we’ve seen concerning incidents (like the recent Anthropic research showing models can be prompted to take unauthorized actions when given tools), but that’s still a far cry from an AI autonomously breaking out of its sandbox and seizing control of unrelated infrastructure.
youtube AI Jobs 2025-11-20T13:2…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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