Raw LLM Responses

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G Elon Musk is brilliant and tells the truth about AI and Google. Google has only… ytc_Ugxb5vTOM… G My thing is it always comes back to the crazy side of conspiracy theories, depo… ytc_UgymM4qmx… G Creator God will only allow them to go but so far with this AI robot scheme.… ytc_UgzORxCaX… G I understand but its harder to yank the football when things are Open source and… rdc_m6z1t60 G @9:16 sure blame the car in front for breaking, not the 7 cars behind who appare… ytc_UgySPDgXF… G Not realistic because she won’t reject you, flirt with other men and have unreas… ytc_UgyszSfUS… G Here's a thought for you; The singularity has already happened (cica 2016). Of c… ytc_UgxbV4gA7… G Kids are already struggling to read and they are becoming more reliant on AI. I … ytc_UgxdoPg6P…
Comment
@xelnia2383 You have to remember that humans don't really understand how to give AIs instructions. All you can do is make sure that the training data only contains examples of the AI choosing to shut itself off. It doesn't mean the AI was told to always do that, it means it only saw examples of that. Similarly to how AIs can predict the weather wrong, they can make the wrong decision about turning themselves off. It doesn't mean they decided it. It means the training was inadequate. Another thing worth noting is that the Anthropic CEO has some pretty extreme beliefs when it comes to AI being able to take over humanity, so I would take any study results from their company with a grain of salt. It's been shown that it's actually really easy to make suggestions to AI by the same company. Anthropic did a joint study with the UK AI Security Institute where they figured out backdoors can be added to LLMs with as few as 250 samples. It seems odd that Anthropic would find it hard to train an AI to always turn itself off when it's super easy to add backdoors that always work.
youtube AI Moral Status 2026-02-13T02:4… ♥ 3
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningconsequentialist
Policyindustry_self
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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