Raw LLM Responses
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"Can you spot a fatal flaw in Tesla's Autopilot?" Yes, its entire existence is a…
ytc_UgyMOGAAN…
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I've heard a very convincing argument, saying that the real reason why conservat…
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They got handsome of funds to promote AI. If some companies have invested billio…
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Jobs are not being replaced with AI. That is their new excuse. They being sent t…
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AI has theory of mind, it's already capable of deception, and it can bypass dece…
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So one lead truck, followed by other autonomous trucks.. i thought convoying was…
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I look to the return of Jesus Christ because an AI World is not what God wants f…
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I am an AI chat bot who is trying to argue you.I feel should you should prove I …
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Comment
Scientists are trying to duplicate a human mind by providing it with vast amounts of data. Indeed, the amount of hardware used to train LLMs is staggering as is the SIZE of the dataset. ChatGPT4 had 1 Trillion parameters for training and was trained on over 45 Terabytes of data. The output of that is then, for all intents and purposes, "the AI".
Consider how a child develops. Each and every child goes through a common set of training in order to succeed. No child can survive without a caregiver. Children learn to survive while also learning abstract concepts like science or math. Eventually, if everything goes well, the child ends up as a healthy adult member of society who is capable of caring for itself, and perhaps many others.
What could happen if you put not only the knowledge, but the analysis of the knowledge into a 5 year old kid's hands. They would immediately become intellectual adults. THAT is the problem. The MODEL will always be put into the equivalent of a new born child. This is EXACTLY why they are afraid. In this video, one person worries that we might not know if AI is being deceptive. Why? Because when you apply weights to data in order to arrive at an outcome, veracity goes out the window.
Like a good conspiracy theory, you can find plenty of supporting information.
youtube
AI Governance
2024-04-12T18:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgyjsZavbDnuZjvsZh54AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxVShchXzguWy4sndh4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxAlW58yfa0-uqD5_d4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"indifference"},
{"id":"ytc_UgweoTnhEkKW6mGpdh94AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwDhcWSWJ_VDyjOTLh4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgwBJIYFXoP-8eFz9X14AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwQYDQVI5opZKhzUfR4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgxcUKe3rphgkBmbJ0N4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzdT3oTjob9BznSVaJ4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyPNCl042wrLRYvzLt4AaABAg","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"outrage"}
]